Compare commits

...

182 Commits
master ... r1.2

Author SHA1 Message Date
  lujiale caf8b80936 update RELEASE.md. 4 years ago
  mindspore-ci-bot 8770bfcdd7 !1526 update commite id 4 years ago
  shenwei41 329a144864 Merge remote-tracking branch 'origin/r1.2' into code_sync_0415 4 years ago
  mindspore-ci-bot da1a60bc02 !1512 multi-thread online infer 4 years ago
  wuweikang 76c0c3a371 multi-thread online infer 4 years ago
  mindspore-ci-bot 2d446b8def !1503 change model_name for dump 4 years ago
  mindspore-ci-bot c144b4bb9e !1507 Adaptation run package 0412 4 years ago
  shenwei41 4928f86819 update commit id 4 years ago
  shenwei41 b5a55e9ca9 Merge remote-tracking branch 'origin/r1.2' into code_sync_0412 4 years ago
  wjm 48d7b6dc8b fix 4 years ago
  wjm daf8e56d25 fix 4 years ago
  wjm 46156bf04f fix dump 4 years ago
  mindspore-ci-bot ee67c45a2b !1487 Fix hccl control dependency 4 years ago
  mindspore-ci-bot 4b90851c68 !1484 remove unused func InsertMemcpyNode 4 years ago
  mindspore-ci-bot 2e8d863a1e !1482 ge static check 4 years ago
  mindspore-ci-bot 44415f12c8 !1492 modify single op dump bug in c77 4 years ago
  chuxing 36f2c837bf Fix hccl control dependency 4 years ago
  zhou_chao1993 f49599b6c5 modify single op dump bug 4 years ago
  mindspore-ci-bot 99e607c6d1 !1490 fix optional input bug 4 years ago
  wxl d5f56ad31c fix optional input bug 4 years ago
  lichun c73a3c7b46 fix sc check error 4 years ago
  zhou_chao1993 f971f512e3 static check modify 4 years ago
  mindspore-ci-bot 7f73eedb8a !1478 Don't reset -2 when there is aicore op. 4 years ago
  mindspore-ci-bot ed941d6d87 !1461 modify dump single op in c77 4 years ago
  mindspore-ci-bot 089b82e9bd !1469 modify dynamic shape dump in c77 4 years ago
  unknown e52c916f56 Don't reset -2 when there is aicore op. 4 years ago
  mindspore-ci-bot 4c8e5f73c6 !1476 Bugfix: Missing hccl execution dependency due to wrong attribute type of _parallel_group 4 years ago
  mindspore-ci-bot a4783ff468 !1460 Reduce weight memory usage & Remove redundant memcpy 4 years ago
  chuxing 19d1f804c7 Bugfix: keep hccl control dependency 4 years ago
  zhou_chao1993 c90cae1410 modify dynamic shape dump 4 years ago
  mindspore-ci-bot 4c0d85693a !1463 Save atomic kernel bin to model. 4 years ago
  unknown b48ecfe347 Save atomic kernel bin to model. 4 years ago
  mindspore-ci-bot d7b607dc83 !1464 fix aipp check 4 years ago
  zhou_chao1993 637bcc86d6 modify dump single op 4 years ago
  wangxiaotian22 30743e1e59 fix aipp check 4 years ago
  chuxing 24b2437361 Fix dump for known-shaped subgraph 4 years ago
  mindspore-ci-bot 6d92a616ea !1455 Synchronize latest Ascend software suite 06 Apr 2021 4 years ago
  yanghaoran 03e87b5570 Merge remote-tracking branch 'upstream/r1.2' into code_sync_0406 4 years ago
  unknown 3ef3f54d94 Save atomic kernel bin to model. 4 years ago
  mindspore-ci-bot 34f09f4fc8 !1447 LinkToPotentialPrecedenceNode 4 years ago
  mindspore-ci-bot 73e7c53f8a !1448 Fix bug of const input index. 4 years ago
  mindspore-ci-bot 494fa061a8 !1444 modify dump content in c77 4 years ago
  mindspore-ci-bot aeec1cb08b !1446 modify set dump in c77 4 years ago
  unknown 960cc1fd64 Fix bug of const input index. 4 years ago
  lianghao 5f1e659fcd LinkToPotentialPrecedenceNode 4 years ago
  zhou_chao1993 b1822cc73c modify set dump in c77 4 years ago
  zhou_chao1993 4931c4fa1e modify dump content 4 years ago
  mindspore-ci-bot 24d3b54ab8 !1443 synchronize latest ascend softare suite 02 Apr 2021 4 years ago
  yanghaoran 2fbf01c53f Merge remote-tracking branch 'origin/r1.2' into code_sync_0402 4 years ago
  mindspore-ci-bot 9d6aaa117c !1419 Add GetOriginalType for support RefSwitch & RefMerge 4 years ago
  mindspore-ci-bot 0da36c04e4 !1421 fixed sc warning 4 years ago
  mindspore-ci-bot 2ac43d4033 !1430 fix 1951 ts 4g bug 4 years ago
  mindspore-ci-bot 2112a36e80 !1415 support unknown while subgraph 4 years ago
  wxl 68595a656a fix ts 4g memory bug 4 years ago
  李磊 890373c79c fixed reviewbot warning 4 years ago
  chenyemeng 7a40a575f7 Add GetOriginalType for support RefSwitch & RefMerge 4 years ago
  lichun 701b0d6c1b support unknown while subgraph 4 years ago
  mindspore-ci-bot da71533e55 !1345 fixed sc warning 4 years ago
  mindspore-ci-bot af83c480c5 !1388 Feature: Tiger online inference support 4 years ago
  zhaoxinxin c936821629 modified: metadef 4 years ago
  mindspore-ci-bot 971630a7d2 !1400 Bugfix: While loop failed to restore original input after execution 4 years ago
  mindspore-ci-bot 1735e1b1f3 !1402 l2 buffer for f1.3.0 4 years ago
  lichun 12cef9e9b9 support unknown while subgraph 4 years ago
  mindspore-ci-bot 0679af1d75 !1409 update include files 0330 4 years ago
  shenwei41 5ddf2ac2b2 update include files to 1.2 4 years ago
  李磊 7516130c7e delete code 4 years ago
  mindspore-ci-bot de47249a72 !1407 update commit id to r1.2 0330 4 years ago
  shenwei41 df1592e97a Merge remote-tracking branch 'origin/r1.2' into code_sync_0330 4 years ago
  yangwei 7ec6e4fe61 r13_l2 4 years ago
  mindspore-ci-bot 7ed03d0d0e !1398 fix import 4 years ago
  李磊 1d0359d1c6 fixed pclint warning 4 years ago
  李磊 e9868abe29 fixed sc warning by wangxiaotian 4 years ago
  李磊 4fe73f77bc fixed sc warning 4 years ago
  yangwei 59a3e2e0ff fix import 4 years ago
  chuxing 4a7f623b12 while loop failed to restore input desc 4 years ago
  zhaoxinxin 8e0634323d modified: ge/graph/passes/base_pass.h 4 years ago
  mindspore-ci-bot f19cd2fca9 !1386 Adding dependencies by parallel groups 4 years ago
  mindspore-ci-bot c691f2a7d7 !1385 Fix error of single_op memory free. 4 years ago
  mindspore-ci-bot e2f04ddabd !1375 bugfix for atomic_addr_clean_pass 4 years ago
  zhaoxinxin 50552c3631 modified: ge/graph/passes/base_pass.cc 4 years ago
  chuxing 167621141b hccl ops with same parallel group can not be execute parallelly 4 years ago
  unknown aad154cdf1 Fix error of single_op memory free. 4 years ago
  mindspore-ci-bot aead0be2d6 !1372 online_inference c77 4 years ago
  lianghao 2cf49ced1c online_inference c77 4 years ago
  mindspore-ci-bot b8621d9d0e !1370 bugfix for auto find fp 4 years ago
  y00500818 9d34427af9 bugfix for atomic_addr_clean_pass 4 years ago
  gengchao4@huawei.com 37c928ed29 bugfix for auto find fp 4 years ago
  mindspore-ci-bot 0901ca5581 !1337 Fix bug of single_op inferdepend. 4 years ago
  mindspore-ci-bot 1224cdee8a !1306 dump for unknownshape 4 years ago
  mindspore-ci-bot 56007bea30 !1351 sync runtime head 4 years ago
  mindspore-ci-bot 168508b063 !1354 update include file 0325 4 years ago
  shenwei41 23b471ca2b update include file 0325 4 years ago
  mindspore-ci-bot e2f929b761 !1352 update graphengine_0325 4 years ago
  shenwei41 518ac24516 update metdef 4 years ago
  shenwei41 a6bcb04c7f Merge remote-tracking branch 'origin/r1.2' into code_sync_0325 4 years ago
  mindspore-ci-bot 5367bbe395 !1316 fixed compiled issue for proto files 4 years ago
  李磊 f0d897b0bb fixed compiled issue for proto files 4 years ago
  zhou_chao1993 13ecbe405a sync runtime head 4 years ago
  mindspore-ci-bot 3050d3984a !1307 fix bug of dynamic shape load error 4 years ago
  mindspore-ci-bot 1ccd0dd9ee !1341 modify profiing reporter data max len 4 years ago
  zhengyuanhua 97d93adaa5 modify profiling reporter data max len 4 years ago
  mindspore-ci-bot 4238e11e99 !1339 refactor label manager 4 years ago
  zhoufeng ba2fcefa04 refactor label manager 4 years ago
  unknown 77d5468cf6 Fix bug of single_op inferdepend. 4 years ago
  wxl a89113e743 fix bug of dynamic shape load error 4 years ago
  mindspore-ci-bot e3fbf4d860 !1277 offline dynamic shape inference support 4 years ago
  mindspore-ci-bot 36eb9620d4 !1304 label goto implentment modified to be same as label switch 4 years ago
  zhupuxu 179e10f36b label switch 4 years ago
  mindspore-ci-bot 745153a252 !1302 update include headers 0318 4 years ago
  shenwei41 f87dd9d016 update include headers 4 years ago
  mindspore-ci-bot d9d99c3cf5 !1300 Update GE commit id 4 years ago
  shenwei41 dfb2f4b7af update commit id format 4 years ago
  shenwei41 4a18a6791d Merge remote-tracking branch 'origin/r1.2' into code_sync_0318 4 years ago
  lichun e6d3c77e80 offline dynamic shape inference support 4 years ago
  mindspore-ci-bot 81ac111f09 !1259 Unique LabelGoto args addr 4 years ago
  zhangxiaokun 6e874e8b87 Unique LabelGoto args addr 4 years ago
  mindspore-ci-bot 4d6e7acc14 !1252 update submodule 4 years ago
  wqtshg 67bdf03f4b update submodule 4 years ago
  mindspore-ci-bot 7f94f51ef2 !1249 fix bug that all subgraph is unknown and netoutput format is not nd bug 4 years ago
  mindspore-ci-bot b7a534a90a !1248 modify error log 4 years ago
  mindspore-ci-bot 5e3d450ac8 !1245 add optune support for dynamic shape 4 years ago
  mindspore-ci-bot 7019c576c5 !1246 update onnx format 4 years ago
  mindspore-ci-bot b507314cd2 !1244 modify user input shape check 4 years ago
  wangxiaotian22 ee95f078b4 for ut cov 4 years ago
  wxl 08ecc484fd fix bug that all subgraph is unknown and netoutput format is not nd bug 4 years ago
  wangxiaotian22 eadebcb9ff delete fail ut 4 years ago
  wxl 64c4bbd8e7 fix bug that all subgraph is unknown and netoutput format is not nd bug 4 years ago
  wangxiaotian22 b9e1a62faf fix ut 4 years ago
  wangxiaotian22 e35eddf16a fix ut 4 years ago
  wangxiaotian22 5d7eab5a4b fix ut 4 years ago
  wxl 723f398670 fix bug that all subgraph is unknown and netoutput format is not nd bug 4 years ago
  wangxiaotian22 79ae2d3fe1 fix 4 years ago
  gengchao4@huawei.com 49aacf9e6f add for optune dynamic shape support 4 years ago
  wangxiaotian22 a44695f245 fix 4 years ago
  wangxiaotian22 e8dd99af4e for ut cov 4 years ago
  gengchao4@huawei.com 48e0a68b62 add for optune dynamic shape support 4 years ago
  wangxiaotian22 c211d1bd36 modify error log 4 years ago
  zhengyuanhua ed6a811c15 checkout input user dim modify 4 years ago
  gengchao4@huawei.com f8479e16d5 add for optune dynamic shape support 4 years ago
  gengchao4@huawei.com bf14833ef4 add for optune dynamic shape support 4 years ago
  mindspore-ci-bot 82b32210e2 !1238 static check 0312 4 years ago
  mindspore-ci-bot e73d9f89b8 !1204 Bugfix: Tiger online inference change on executor 4 years ago
  zhaoxinxin 5acba13261 modified: concat_offset_kernel.cc 4 years ago
  mindspore-ci-bot d74016165b !1237 remove check shape by shape range 4 years ago
  zhaoxinxin 56ff720fac modified: ../../tests/ut/ge/hybrid/ge_hybrid_unittest.cc 4 years ago
  lwx911747 a63df26ead static check 0312 4 years ago
  zhaoxinxin 801a1e0fca modified: gather_v2_kernel.cc 4 years ago
  mindspore-ci-bot 992c791c7c !1236 move set stage in finalize 4 years ago
  zhengyuanhua 33d609ebad remove check shape by shape range 4 years ago
  y00500818 074e7d4f8c update onnx format 4 years ago
  mindspore-ci-bot 9f027029d5 !1224 add process for some op need infershape when running 4 years ago
  wangxiaotian22 3df7893398 move setstage in finalize 4 years ago
  mindspore-ci-bot c5b77a0124 !1229 revert get log header 4 years ago
  zhaoxinxin bab9bca596 modified: ge/graph/partition/dynamic_shape_partition.cc 4 years ago
  zhaoxinxin ce83b1569d modified: tests/ut/ge/hybrid/ge_hybrid_unittest.cc 4 years ago
  wangxiaotian22 bcd0fc5111 modify clang 4 years ago
  wangxiaotian22 2532144c77 revert get logheader 4 years ago
  wxl 1227e0339f add force infershape for some op 4 years ago
  mindspore-ci-bot 305138f9f7 !1225 Replace rtLabelGotoEx by rtLabelSwitchByIndex 4 years ago
  mindspore-ci-bot 2ece5f3b63 !1218 inference dynamic input 4 years ago
  mindspore-ci-bot f7d8c04c57 !1226 modify data dumper 4 years ago
  mindspore-ci-bot a028954204 !1222 error log modify 4 years ago
  zhou_chao1993 684093d759 modify data dumper 4 years ago
  wangxiaotian22 390905b877 modify 4 years ago
  wangxiaotian22 11c9476b41 modify 4 years ago
  zhangxiaokun cd16a4215d Fix util.h Check clang-format 4 years ago
  wangxiaotian22 395fddbcff fix ut core 4 years ago
  zhangxiaokun 8d8786bfd2 Replace rtLabelGotoEx by rtLabelSwitchByIndex 4 years ago
  wxl 5ae267433b add force infershape for some op 4 years ago
  wangxiaotian22 19a55bcdb4 modify 4 years ago
  wangxiaotian22 919753675f add ut depend 4 years ago
  zhaoxinxin 612463e089 modified: tests/ut/ge/hybrid/ge_hybrid_unittest.cc 4 years ago
  wangxiaotian22 342944505a fix clang 4 years ago
  wxl 365401b52f add force infershape for some op 4 years ago
  wangxiaotian22 0f4cf5a291 fix clang 4 years ago
  wangxiaotian22 0d09bdb890 ERROR log modify 4 years ago
  zhengyuanhua 08206700f9 inference dynamic input 4 years ago
  zhaoxinxin 3d0a83a455 modified: tests/ut/ge/hybrid/ge_hybrid_unittest.cc 4 years ago
  wxl c94e0fbdc6 add force infershape for some op 4 years ago
  zhaoxinxin 5fe85f3f85 modified: ge/graph/partition/dynamic_shape_partition.cc 4 years ago
  zhaoxinxin 58a3e06c17 modified: ge/graph/build/graph_builder.cc 4 years ago
  wjm 3401ca857c dump for unknownshape 4 years ago
100 changed files with 2259 additions and 909 deletions
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  1. +2
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      .gitmodules
  2. +15
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      RELEASE.md
  3. +1
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      build.sh
  4. +11
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  5. +7
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      ge/client/ge_api.cc
  7. +3
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  8. +1
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      ge/common/dump/dump_manager.cc
  9. +36
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      ge/common/dump/dump_op.cc
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      ge/common/dump/dump_op.h
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      ge/common/dump/dump_properties.cc
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      ge/common/dump/opdebug_register.cc
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      ge/common/formats/format_transfers/datatype_transfer.cc
  14. +2
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      ge/common/formats/format_transfers/format_transfer_c1hwncoc0_hwcn.cc
  15. +4
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      ge/common/formats/format_transfers/format_transfer_dhwcn_fracz3D.cc
  16. +4
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      ge/common/formats/format_transfers/format_transfer_dhwnc_fracz3D_transpose.cc
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  28. +7
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  30. +11
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  31. +4
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  32. +39
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  33. +8
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  92. +2
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  94. +2
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  95. +9
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      ge/graph/preprocess/insert_op/util_insert_aipp_op.cc
  96. +3
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  97. +6
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+ 2
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.gitmodules View File

@@ -1,8 +1,8 @@
[submodule "parser"]
path = parser
url = https://gitee.com/ascend/parser.git
branch = master
branch = r1.3.0
[submodule "metadef"]
path = metadef
url = https://gitee.com/ascend/metadef.git
branch = master
branch = r1.3.0

+ 15
- 0
RELEASE.md View File

@@ -1,3 +1,18 @@
### Major Features and Improvements
* Multiple parallel communication groups can be distinguished and the communication tasks of different parallel communication groups can be divided into different streams.
* Parallel tasks are added for the entire map optimization. The execution sequence is optimized for parallel groups.
* Dynamic shape is supported for single operator in inference scenarios.
* Online inference supports concurrent execution of multiple threads.
* Memory allocation supports address reuse in the buffer pool.
* Supports Event resource reuse.
* Supports the BF16 data type.

## Thanks to our Contributors
Thanks goes to these wonderful people: wuweikang,weiyang,yanghaorang,xutianchun,shibeiji,zhouchao, tanghuikang, zhoulili, liujunzhu, zhengyuanhua, taoxiangdong Contributions of any kind are welcome!

Contributions of any kind are welcome!


# Release 1.0.0

## Major Features and Improvements


+ 1
- 1
build.sh View File

@@ -229,7 +229,7 @@ if [[ "X$ENABLE_GE_UT" = "Xon" || "X$ENABLE_GE_COV" = "Xon" ]]; then
rm -rf ${BASEPATH}/cov
mkdir ${BASEPATH}/cov
lcov -c -d build/tests/ut/ge -d build/tests/ut/common/graph/ -o cov/tmp.info
lcov -r cov/tmp.info '*/output/*' '*/build/opensrc/*' '*/build/proto/*' '*/third_party/*' '*/tests/*' '/usr/local/*' -o cov/coverage.info
lcov -r cov/tmp.info '*/output/*' '*/build/opensrc/*' '*/build/proto/*' '*/third_party/*' '*/tests/*' '/usr/local/*' '/usr/include/*' '*/metadef/*' '*/parser/*' -o cov/coverage.info
cd ${BASEPATH}/cov
genhtml coverage.info
fi


+ 11
- 1
ge/CMakeLists.txt View File

@@ -31,6 +31,7 @@ set(PROTO_HEADER_LIST
protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST})
protobuf_generate(ge PROTO_CLIENT_SRCS PROTO_CLIENT_HDRS ${PROTO_CLIENT_LIST})
protobuf_generate(ge PROTO_HEADER_SRCS PROTO_HEADER_HDRS ${PROTO_HEADER_LIST})
protobuf_generate(ge_client PROTO_CLIENT_HEADER_SRCS PROTO_CLIENT_HEADER_HDRS ${PROTO_HEADER_LIST})

if (NOT ENABLE_D AND NOT ENABLE_ACL AND NOT ENABLE_MS_TESTCASES)
############ libge_proto_common.a ############
@@ -56,7 +57,7 @@ target_link_libraries(ge_proto_common PRIVATE

############ libge_proto_client.a ############
add_library(ge_proto_client STATIC
${PROTO_HEADER_HDRS}
${PROTO_CLIENT_HEADER_HDRS}
${PROTO_CLIENT_SRCS}
)

@@ -65,6 +66,11 @@ target_compile_definitions(ge_proto_client PRIVATE
google=ascend_private
)

target_include_directories(ge_proto_client PRIVATE
${CMAKE_BINARY_DIR}/proto/ge_client
${CMAKE_BINARY_DIR}/proto/ge_client/proto
)

target_compile_options(ge_proto_client PRIVATE
-O2
-fno-common
@@ -937,6 +943,10 @@ add_library(atc_stub_ge_compiler SHARED

add_dependencies(atc_stub_ge_compiler ge_stub)

target_compile_options(atc_stub_ge_compiler PRIVATE
-fno-common
)

target_link_libraries(atc_stub_ge_compiler PRIVATE
$<BUILD_INTERFACE:intf_pub>
)


+ 7
- 2
ge/analyzer/analyzer.cc View File

@@ -221,7 +221,10 @@ ge::Status Analyzer::SaveAnalyzerDataToFile(uint64_t session_id, uint64_t graph_
try {
json_file_ << jsn.dump(kJsonDumpLevel) << std::endl;
} catch (nlohmann::detail::type_error &e) {
GELOGE(FAILED, "[Json.dump][GraphInfo]json.dump to analyze file [%s] failed because [%s], session_id:%lu, graph_id:%lu", json_file_name_.c_str(), e.what(), session_id, graph_id);
GELOGE(FAILED,
"[Json.dump][GraphInfo]json.dump to analyze file [%s] failed because [%s],"
"session_id:%lu, graph_id:%lu",
json_file_name_.c_str(), e.what(), session_id, graph_id);
ret_failed = true;
}
json_file_.close();
@@ -241,7 +244,9 @@ ge::Status Analyzer::DoAnalyze(DataInfo &data_info) {
GE_CHECK_NOTNULL(graph_info);
auto status = SaveOpInfo(desc, data_info, graph_info);
if (status != SUCCESS) {
GELOGE(status, "[Check][SaveOpInfo]save op info: desc_name [%s] desc_type [%s] failed!", desc->GetName().c_str(), desc->GetType().c_str());
GELOGE(status,
"[Check][SaveOpInfo]save op info: desc_name [%s] desc_type [%s] failed!",
desc->GetName().c_str(), desc->GetType().c_str());
return FAILED;
}
// create json file


+ 6
- 6
ge/client/ge_api.cc View File

@@ -171,17 +171,17 @@ Status GEInitialize(const std::map<AscendString, AscendString> &options) {

// GE finalize, releasing all resources
Status GEFinalize() {
ErrorManager::GetInstance().SetStage(ErrorMessage::kFinalize, ErrorMessage::kFinalize);
GELOGT(TRACE_INIT, "GEFinalize start");

ErrorManager::GetInstance().GenWorkStreamIdDefault();
std::lock_guard<std::mutex> lock(g_ge_release_mutex);
// check init status
if (!g_ge_initialized) {
GELOGW("GEFinalize is called before GEInitialize");
GELOGW("[FINAL][FINAL]GEFinalize is called before GEInitialize");
return SUCCESS;
}

std::lock_guard<std::mutex> lock(g_ge_release_mutex);
ErrorManager::GetInstance().SetStage(ErrorMessage::kFinalize, ErrorMessage::kFinalize);
ErrorManager::GetInstance().GenWorkStreamIdDefault();
GELOGT(TRACE_INIT, "GEFinalize start");

// call Finalize
Status ret = SUCCESS;
Status middle_ret;


+ 3
- 2
ge/common/CMakeLists.txt View File

@@ -16,6 +16,7 @@ set(PROTO_LIST
)

protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST})
protobuf_generate(ge_static PROTO_STATIC_SRCS PROTO_STATIC_HDRS ${PROTO_LIST})

set(SRC_LIST
"context/ctx.cc"
@@ -127,7 +128,7 @@ target_link_libraries(ge_common PRIVATE
)

############ libge_common.a ############
add_library(ge_common_static STATIC ${SRC_LIST} ${PROTO_HDRS})
add_library(ge_common_static STATIC ${SRC_LIST} ${PROTO_STATIC_HDRS})
target_compile_definitions(ge_common_static PRIVATE
PROTOBUF_INLINE_NOT_IN_HEADERS=0
HOST_VISIBILITY
@@ -158,7 +159,7 @@ target_include_directories(ge_common_static PRIVATE
${METADEF_DIR}/inc/external/graph
${METADEF_DIR}/inc/graph
${CMAKE_BINARY_DIR}
${CMAKE_BINARY_DIR}/proto/ge
${CMAKE_BINARY_DIR}/proto/ge_static
#### yellow zone ####
${GE_DEPEND_DIR}/inc
${GE_DEPEND_DIR}/inc/cce


+ 1
- 1
ge/common/dump/dump_manager.cc View File

@@ -96,7 +96,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status DumpManager::SetDumpConf
dump_mode = dump_config.dump_mode;
GELOGI("Dump mode is %s", dump_mode.c_str());
dump_properties.SetDumpMode(dump_mode);
dump_properties_map_.emplace(kInferSessionId, dump_properties);
dump_properties_map_[kInferSessionId] = dump_properties;

return SUCCESS;
}


+ 36
- 7
ge/common/dump/dump_op.cc View File

@@ -20,6 +20,7 @@
#include "common/ge/datatype_util.h"
#include "framework/common/debug/ge_log.h"
#include "framework/common/util.h"
#include "framework/common/types.h"
#include "graph/anchor.h"
#include "graph/ge_tensor.h"
#include "graph/op_desc.h"
@@ -55,8 +56,10 @@ void DumpOp::SetLoopAddr(void *global_step, void *loop_per_iter, void *loop_cond
loop_cond_ = reinterpret_cast<uintptr_t>(loop_cond);
}

void DumpOp::SetDynamicModelInfo(const string &dynamic_model_name, uint32_t dynamic_model_id) {
void DumpOp::SetDynamicModelInfo(const string &dynamic_model_name, const string &dynamic_om_name,
uint32_t dynamic_model_id) {
dynamic_model_name_ = dynamic_model_name;
dynamic_om_name_ = dynamic_om_name;
dynamic_model_id_ = dynamic_model_id;
}

@@ -200,6 +203,32 @@ Status DumpOp::ExecutorDumpOp(aicpu::dump::OpMappingInfo &op_mapping_info) {
return SUCCESS;
}

Status DumpOp::SetDumpModelName(aicpu::dump::OpMappingInfo &op_mapping_info) {
if (dynamic_model_name_.empty() && dynamic_om_name_.empty()) {
GELOGI("Single op dump, no need set model name");
return SUCCESS;
}
std::set<std::string> model_list = dump_properties_.GetAllDumpModel();
bool not_find_by_omname = model_list.find(dynamic_om_name_) == model_list.end();
bool not_find_by_modelname = model_list.find(dynamic_model_name_) == model_list.end();
std::string dump_model_name = not_find_by_omname ? dynamic_model_name_ : dynamic_om_name_;
if (model_list.find(DUMP_ALL_MODEL) == model_list.end()) {
if (not_find_by_omname && not_find_by_modelname) {
std::string model_list_str;
for (auto &model : model_list) {
model_list_str += "[" + model + "].";
}
GELOGW("Model %s will not be set to dump, dump list: %s", dump_model_name.c_str(), model_list_str.c_str());
return FAILED;
}
}
if (!dump_model_name.empty() && dump_properties_.IsDumpOpen()) {
GELOGD("Dump model name is %s", dump_model_name.c_str());
op_mapping_info.set_model_name(dump_model_name);
}
return SUCCESS;
}

Status DumpOp::LaunchDumpOp() {
GELOGI("Start to launch dump op %s", op_desc_->GetName().c_str());
int32_t device_id = 0;
@@ -209,8 +238,7 @@ Status DumpOp::LaunchDumpOp() {
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
if (device_id < 0) {
GELOGE(ACL_ERROR_GE_INTERNAL_ERROR,
"Check device_id failed, device_id = %d, which should be not less than 0.",
GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "Check device_id failed, device_id = %d, which should be not less than 0.",
device_id);
return ACL_ERROR_GE_INTERNAL_ERROR;
}
@@ -220,11 +248,12 @@ Status DumpOp::LaunchDumpOp() {
op_mapping_info.set_flag(kAicpuLoadFlag);
op_mapping_info.set_dump_step(dump_properties_.GetDumpStep());
op_mapping_info.set_model_id(dynamic_model_id_);
if (!dynamic_model_name_.empty() && dump_properties_.IsDumpOpen()) {
op_mapping_info.set_model_name(dynamic_model_name_);

if (SetDumpModelName(op_mapping_info) != SUCCESS) {
return SUCCESS;
}
SetOpMappingLoopAddr(global_step_, loop_per_iter_, loop_cond_, op_mapping_info);
GELOGI("Dump step is %s ,dump path is %s ,in Launch dump op", dump_properties_.GetDumpStep().c_str(),
GELOGI("Dump step is %s ,dump path is %s in Launch dump op", dump_properties_.GetDumpStep().c_str(),
dump_path.c_str());
uint32_t task_id = 0;
uint32_t stream_id = 0;
@@ -273,4 +302,4 @@ Status DumpOp::LaunchDumpOp() {
}
return SUCCESS;
}
} // namesapce ge
} // namespace ge

+ 3
- 1
ge/common/dump/dump_op.h View File

@@ -34,12 +34,13 @@ class DumpOp {
vector<uintptr_t> output_addrs, rtStream_t stream);
Status LaunchDumpOp();
void SetLoopAddr(void *global_step, void *loop_per_iter, void *loop_cond);
void SetDynamicModelInfo(const string &dynamic_model_name, uint32_t dynamic_model_id);
void SetDynamicModelInfo(const string &dynamic_model_name, const string &dynamic_om_name, uint32_t dynamic_model_id);

private:
Status ExecutorDumpOp(aicpu::dump::OpMappingInfo &op_mapping_info);
Status DumpOutput(aicpu::dump::Task &task);
Status DumpInput(aicpu::dump::Task &task);
Status SetDumpModelName(aicpu::dump::OpMappingInfo &op_mapping_info);

DumpProperties dump_properties_;
OpDescPtr op_desc_;
@@ -54,6 +55,7 @@ class DumpOp {
uintptr_t loop_cond_;

std::string dynamic_model_name_;
std::string dynamic_om_name_;
std::uint32_t dynamic_model_id_;
};
} // namespace ge


+ 8
- 7
ge/common/dump/dump_properties.cc View File

@@ -35,14 +35,14 @@ const std::string kDumpStatusOpen = "on";
const uint32_t kAicoreOverflow = (0x1 << 0);
const uint32_t kAtomicOverflow = (0x1 << 1);
const uint32_t kAllOverflow = (kAicoreOverflow | kAtomicOverflow);
}
} // namespace
namespace ge {
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY DumpProperties::DumpProperties(const DumpProperties &other) {
CopyFrom(other);
}

FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY DumpProperties &DumpProperties::operator=(
const DumpProperties &other) {
const DumpProperties &other) {
CopyFrom(other);
return *this;
}
@@ -97,7 +97,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void DumpProperties::InitByOpti

// The following is the new dump scenario of the fusion operator
FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void DumpProperties::AddPropertyValue(
const std::string &model, const std::set<std::string> &layers) {
const std::string &model, const std::set<std::string> &layers) {
for (const std::string &layer : layers) {
GELOGI("This model %s config to dump layer %s", model.c_str(), layer.c_str());
}
@@ -138,7 +138,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY std::set<std::string> DumpPrope
}

FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY std::set<std::string> DumpProperties::GetPropertyValue(
const std::string &model) const {
const std::string &model) const {
auto iter = model_dump_properties_map_.find(model);
if (iter != model_dump_properties_map_.end()) {
return iter->second;
@@ -147,8 +147,9 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY std::set<std::string> DumpPrope
}

FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY bool DumpProperties::IsLayerNeedDump(
const std::string &model, const std::string &om_name, const std::string &op_name) const {
const std::string &model, const std::string &om_name, const std::string &op_name) const {
// if dump all
GELOGD("model name is %s om name is %s op is %s in layer need dump", model.c_str(), om_name.c_str(), op_name.c_str());
if (model_dump_properties_map_.find(DUMP_ALL_MODEL) != model_dump_properties_map_.end()) {
return true;
}
@@ -203,7 +204,7 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY const std::string &DumpProperti
}

FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY void DumpProperties::SetDumpOpSwitch(
const std::string &dump_op_switch) {
const std::string &dump_op_switch) {
dump_op_switch_ = dump_op_switch;
}

@@ -270,4 +271,4 @@ void DumpProperties::SetDumpDebugOptions() {
GELOGI("ge.exec.enableDumpDebug is false or is not set.");
}
}
} // namespace
} // namespace ge

+ 0
- 5
ge/common/dump/opdebug_register.cc View File

@@ -80,13 +80,11 @@ Status OpdebugRegister::RegisterDebugForStream(rtStream_t stream, uint32_t op_de

uint32_t debug_stream_id = 0;
uint32_t debug_task_id = 0;
#ifdef ONLY_COMPILE_OPEN_SRC
auto rt_ret = rtDebugRegisterForStream(stream, op_debug_mode, op_debug_addr_, &debug_stream_id, &debug_task_id);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "rtDebugRegisterForStream error, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
#endif
GELOGD("debug_task_id:%u, debug_stream_id:%u in stream overflow.", debug_task_id, debug_stream_id);
data_dumper.SaveOpDebugId(debug_task_id, debug_stream_id, p2p_debug_addr_, true);
return SUCCESS;
@@ -94,7 +92,6 @@ Status OpdebugRegister::RegisterDebugForStream(rtStream_t stream, uint32_t op_de

void OpdebugRegister::UnregisterDebugForStream(rtStream_t stream) {
rtError_t rt_ret = RT_ERROR_NONE;
#ifdef ONLY_COMPILE_OPEN_SRC
if (stream != nullptr) {
GELOGD("start call rtDebugUnRegisterForStream in unknown shape over flow.");
rt_ret = rtDebugUnRegisterForStream(stream);
@@ -102,8 +99,6 @@ void OpdebugRegister::UnregisterDebugForStream(rtStream_t stream) {
GELOGW("rtDebugUnRegisterForStream failed, ret: 0x%X", rt_ret);
}
}
#endif

if (op_debug_addr_ != nullptr) {
rt_ret = rtFree(op_debug_addr_);
if (rt_ret != RT_ERROR_NONE) {


+ 2
- 1
ge/common/formats/format_transfers/datatype_transfer.cc View File

@@ -154,7 +154,8 @@ Status DataTypeTransfer::TransDataType(const CastArgs &args, TransResult &result

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to alloc the memory for dst buf %zu, data size %zu", total_size, args.src_data_size);
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to alloc the memory for dst buf %zu, data size %zu", total_size, args.src_data_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
}



+ 2
- 1
ge/common/formats/format_transfers/format_transfer_c1hwncoc0_hwcn.cc View File

@@ -73,7 +73,8 @@ Status CheckArgsForC1hwncoc0ToHwcn(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, int size, int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return ACL_ERROR_GE_MEMORY_ALLOCATION;


+ 4
- 2
ge/common/formats/format_transfers/format_transfer_dhwcn_fracz3D.cc View File

@@ -94,7 +94,8 @@ Status TransFormatDhwckToFz3D(const TransArgs &args, TransResult &result) {

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -122,7 +123,8 @@ Status TransFormatDhwckToFz3D(const TransArgs &args, TransResult &result) {
args.data + src_idx * data_size, static_cast<size_t>(data_size));
}
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
dst_offset, ret, pad_zero);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}


+ 4
- 2
ge/common/formats/format_transfers/format_transfer_dhwnc_fracz3D_transpose.cc View File

@@ -95,7 +95,8 @@ Status TransFormatDhwncToFz3DTranspose(const TransArgs &args, TransResult &resul

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -123,7 +124,8 @@ Status TransFormatDhwncToFz3DTranspose(const TransArgs &args, TransResult &resul
args.data + src_idx * data_size, static_cast<size_t>(data_size));
}
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
dst_offset, ret, pad_zero);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}


+ 20
- 10
ge/common/formats/format_transfers/format_transfer_fractal_nz.cc View File

@@ -139,7 +139,8 @@ Status TransFormatFromNdToFracNz(const TransArgs &args, TransResult &result, con

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size](), std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -175,7 +176,8 @@ Status TransFormatFromNdToFracNz(const TransArgs &args, TransResult &result, con
auto ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size * w0));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -189,7 +191,8 @@ Status TransFormatFromNdToFracNz(const TransArgs &args, TransResult &result, con
auto ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -210,7 +213,8 @@ Status TransFormatFromFracNzToNd(const TransArgs &args, TransResult &result, con

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -246,7 +250,8 @@ Status TransFormatFromFracNzToNd(const TransArgs &args, TransResult &result, con
ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size * w0));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -260,7 +265,8 @@ Status TransFormatFromFracNzToNd(const TransArgs &args, TransResult &result, con
ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -274,14 +280,16 @@ Status TransFormatFromFracNzToNd(const TransArgs &args, TransResult &result, con

Status FormatTransferFractalNz::TransFormat(const TransArgs &args, TransResult &result) {
if (!IsDataTypeSupport(args.src_data_type)) {
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID, "Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID,
"Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());
return ACL_ERROR_GE_DATATYPE_INVALID;
}
if (!CheckShape(args.src_format, args.src_shape) || !IsShapeValid(args.dst_shape)) {
GELOGE(ACL_ERROR_GE_SHAPE_INVALID, "Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
GELOGE(ACL_ERROR_GE_SHAPE_INVALID,
"Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());
@@ -325,7 +333,8 @@ Status FormatTransferFractalNz::TransShape(Format src_format, const ShapeVector

Status FormatTransferFractalNzND::TransFormat(const TransArgs &args, TransResult &result) {
if (!IsDataTypeSupport(args.src_data_type)) {
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID, "Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID,
"Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());
@@ -333,7 +342,8 @@ Status FormatTransferFractalNzND::TransFormat(const TransArgs &args, TransResult
}

if (!IsShapeValid(args.src_shape) || !CheckShape(args.dst_format, args.dst_shape)) {
GELOGE(ACL_ERROR_GE_SHAPE_INVALID, "Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
GELOGE(ACL_ERROR_GE_SHAPE_INVALID,
"Trans format from %s to %s, src shape %s, dst shape %s, data type %s is not supported",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());


+ 17
- 9
ge/common/formats/format_transfers/format_transfer_fractal_z.cc View File

@@ -127,7 +127,8 @@ Status TransFormatFromNchwToFz(const TransArgs &args, TransResult &result) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
dst == nullptr,
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;);
@@ -173,8 +174,9 @@ Status TransFormatFromNchwToFz(const TransArgs &args, TransResult &result) {
}
}
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d pad mode %d", offset,
ret, need_pad_zero);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d pad mode %d",
offset, ret, need_pad_zero);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -213,7 +215,8 @@ Status TransFormatHwcnToFz(const TransArgs &args, TransResult &result) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
dst == nullptr,
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;);
@@ -235,7 +238,8 @@ Status TransFormatHwcnToFz(const TransArgs &args, TransResult &result) {
static_cast<size_t>(data_size));
} else {
if (protected_size < data_size) {
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Failed to operate the dst memory, protected_size is %ld and size is %ld",
GELOGE(ACL_ERROR_GE_PARAM_INVALID,
"Failed to operate the dst memory, protected_size is %ld and size is %ld",
protected_size, data_size);
return ACL_ERROR_GE_PARAM_INVALID;
}
@@ -247,7 +251,8 @@ Status TransFormatHwcnToFz(const TransArgs &args, TransResult &result) {
}
}
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
dst_offset, ret, pad_zero);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
@@ -288,7 +293,8 @@ Status TransFormatNhwcToFz(const TransArgs &args, TransResult &result) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
dst == nullptr,
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;);
@@ -310,7 +316,8 @@ Status TransFormatNhwcToFz(const TransArgs &args, TransResult &result) {
static_cast<size_t>(data_size));
} else {
if (protected_size < data_size) {
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Failed to operate the dst memory, protected_size is %ld and size is %ld",
GELOGE(ACL_ERROR_GE_PARAM_INVALID,
"Failed to operate the dst memory, protected_size is %ld and size is %ld",
protected_size, data_size);
return ACL_ERROR_GE_PARAM_INVALID;
}
@@ -322,7 +329,8 @@ Status TransFormatNhwcToFz(const TransArgs &args, TransResult &result) {
}
}
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d, pad mode %d",
dst_offset, ret, pad_zero);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}


+ 20
- 10
ge/common/formats/format_transfers/format_transfer_fractal_zz.cc View File

@@ -140,7 +140,8 @@ Status TransFormatFromNdToFracZz(const TransArgs &args, TransResult &result, con

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size](), std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -179,7 +180,8 @@ Status TransFormatFromNdToFracZz(const TransArgs &args, TransResult &result, con
auto ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size * w0));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -195,7 +197,8 @@ Status TransFormatFromNdToFracZz(const TransArgs &args, TransResult &result, con
auto ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -217,7 +220,8 @@ Status TransFormatFromFracZzToNd(const TransArgs &args, TransResult &result, con

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size](), std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -257,7 +261,8 @@ Status TransFormatFromFracZzToNd(const TransArgs &args, TransResult &result, con
auto ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size * w0));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -273,7 +278,8 @@ Status TransFormatFromFracZzToNd(const TransArgs &args, TransResult &result, con
auto ret = memcpy_s(dst.get() + dst_offset, static_cast<size_t>(protected_size), args.data + src_offset,
static_cast<size_t>(size));
if (ret != EOK) {
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED, "Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
GELOGE(ACL_ERROR_GE_MEMORY_OPERATE_FAILED,
"Failed to operate the dst memory at offset %ld, error-code %d", dst_offset, ret);
return ACL_ERROR_GE_MEMORY_OPERATE_FAILED;
}
}
@@ -288,14 +294,16 @@ Status TransFormatFromFracZzToNd(const TransArgs &args, TransResult &result, con

Status FormatTransferFractalZz::TransFormat(const TransArgs &args, TransResult &result) {
if (!IsDataTypeSupport(args.src_data_type)) {
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID, "Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID,
"Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());
return ACL_ERROR_GE_DATATYPE_INVALID;
}
if (!CheckShape(args.src_format, args.src_shape) || !IsShapeValid(args.dst_shape)) {
GELOGE(ACL_ERROR_GE_SHAPE_INVALID, "Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
GELOGE(ACL_ERROR_GE_SHAPE_INVALID,
"Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());
@@ -339,7 +347,8 @@ Status FormatTransferFractalZz::TransShape(Format src_format, const ShapeVector

Status FormatTransferFractalZzND::TransFormat(const TransArgs &args, TransResult &result) {
if (!IsDataTypeSupport(args.src_data_type)) {
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID, "Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
GELOGE(ACL_ERROR_GE_DATATYPE_INVALID,
"Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());
@@ -347,7 +356,8 @@ Status FormatTransferFractalZzND::TransFormat(const TransArgs &args, TransResult
}

if (!IsShapeValid(args.src_shape) || !CheckShape(args.dst_format, args.dst_shape)) {
GELOGE(ACL_ERROR_GE_SHAPE_INVALID, "Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
GELOGE(ACL_ERROR_GE_SHAPE_INVALID,
"Not support trans format from %s to %s, src shape %s, dst shape %s, data type %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), ShapeToString(args.src_shape).c_str(),
ShapeToString(args.dst_shape).c_str(), TypeUtils::DataTypeToSerialString(args.src_data_type).c_str());


+ 3
- 2
ge/common/formats/format_transfers/format_transfer_fracz_hwcn.cc View File

@@ -66,7 +66,7 @@ Status CheckArgsForFracZToHwcn(const TransArgs &args) {
FmtToStr(ShapeToString(dst_shape));
GE_ERRORLOG_AND_ERRORMSG(ACL_ERROR_GE_SHAPE_INVALID, error.c_str());
return ACL_ERROR_GE_SHAPE_INVALID;
}
}

return SUCCESS;
}
@@ -74,7 +74,8 @@ Status CheckArgsForFracZToHwcn(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, const int size, const int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return ACL_ERROR_GE_MEMORY_ALLOCATION;


+ 6
- 4
ge/common/formats/format_transfers/format_transfer_fracz_nchw.cc View File

@@ -59,9 +59,10 @@ Status CheckArgsForFracZToNchw(const TransArgs &args) {
}
int64_t c1 = Ceil(dst_shape.at(kNchwC), c0);
int64_t n0 = Ceil(dst_shape.at(kNchwN), static_cast<int64_t>(kNiSize));
if (src_shape.at(kFracZHWC1) != dst_shape.at(kNchwH) * dst_shape.at(kNchwW) * c1 || src_shape.at(kFracZC0) != c0 ||
src_shape.at(kFracZNi) != kNiSize || src_shape.at(kFracZN0) != n0) {
GELOGE(ACL_ERROR_GE_SHAPE_INVALID, "Failed to check relationship between src and dst shape, src shape %s, dst shape %s",
if (src_shape.at(kFracZHWC1) != dst_shape.at(kNchwH) * dst_shape.at(kNchwW) * c1 ||
src_shape.at(kFracZC0) != c0 || src_shape.at(kFracZNi) != kNiSize || src_shape.at(kFracZN0) != n0) {
GELOGE(ACL_ERROR_GE_SHAPE_INVALID,
"Failed to check relationship between src and dst shape, src shape %s, dst shape %s",
ShapeToString(src_shape).c_str(), ShapeToString(dst_shape).c_str());
return ACL_ERROR_GE_SHAPE_INVALID;
}
@@ -72,7 +73,8 @@ Status CheckArgsForFracZToNchw(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, const int size, const int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return ACL_ERROR_GE_MEMORY_ALLOCATION;


+ 7
- 5
ge/common/formats/format_transfers/format_transfer_fracz_nhwc.cc View File

@@ -59,9 +59,10 @@ Status CheckArgsForFracZToNhwc(const TransArgs &args) {
}
int64_t c1 = Ceil(dst_shape.at(kNhwcC), c0);
int64_t n0 = Ceil(dst_shape.at(kNhwcN), static_cast<int64_t>(kNiSize));
if (src_shape.at(kFracZHWC1) != dst_shape.at(kNhwcH) * dst_shape.at(kNhwcW) * c1 || src_shape.at(kFracZC0) != c0 ||
src_shape.at(kFracZNi) != kNiSize || src_shape.at(kFracZN0) != n0) {
GELOGE(PARAM_INVALID, "Failed to check relationship between src and dst shape, src shape %s, dst shape %s",
if (src_shape.at(kFracZHWC1) != dst_shape.at(kNhwcH) * dst_shape.at(kNhwcW) * c1 ||
src_shape.at(kFracZC0) != c0 || src_shape.at(kFracZNi) != kNiSize || src_shape.at(kFracZN0) != n0) {
GELOGE(PARAM_INVALID,
"Failed to check relationship between src and dst shape, src shape %s, dst shape %s",
ShapeToString(src_shape).c_str(), ShapeToString(dst_shape).c_str());
return PARAM_INVALID;
}
@@ -72,7 +73,8 @@ Status CheckArgsForFracZToNhwc(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, int size, int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(OUT_OF_MEMORY, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(OUT_OF_MEMORY,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return OUT_OF_MEMORY;
@@ -140,7 +142,7 @@ Status FormatTransferFracZNhwc::TransFormat(const TransArgs &args, TransResult &
}

GELOGE(INTERNAL_ERROR, "Get %ld total size from dst shape %s, src shape %s", total_size,
ShapeToString(args.dst_shape).c_str(), ShapeToString(args.src_shape).c_str());
ShapeToString(args.dst_shape).c_str(), ShapeToString(args.src_shape).c_str());
return PARAM_INVALID;
}
GELOGD("Begin to trans format from FracZ to NHWC, src shape %s, data type %s, dst shape %s, memory size %ld",


+ 2
- 1
ge/common/formats/format_transfers/format_transfer_hwcn_c1hwncoc0.cc View File

@@ -91,7 +91,8 @@ Status CheckArgsForHwcnToC1hwncoc0(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, const int size, const int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return ACL_ERROR_GE_MEMORY_ALLOCATION;


+ 2
- 1
ge/common/formats/format_transfers/format_transfer_nc1hwc0_nchw.cc View File

@@ -72,7 +72,8 @@ Status CheckArgsForNc1hwc0ToNchw(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, const int size, const int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(OUT_OF_MEMORY, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(OUT_OF_MEMORY,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return OUT_OF_MEMORY;


+ 4
- 2
ge/common/formats/format_transfers/format_transfer_nc1hwc0_nhwc.cc View File

@@ -61,7 +61,8 @@ Status CheckArgsForNc1hwc0ToNhwc(const TransArgs &args) {
if (src_shape.at(kNc1hwc0H) != dst_shape.at(kNhwcH) || src_shape.at(kNc1hwc0W) != dst_shape.at(kNhwcW) ||
src_shape.at(kNc1hwc0N) != dst_shape.at(kNhwcN) || src_shape.at(kNc1hwc0C0) != c0 ||
src_shape.at(kNc1hwc0C1) != (Ceil(dst_shape.at(kNhwcC), c0))) {
GELOGE(ACL_ERROR_GE_SHAPE_INVALID, "Failed to check relationship between src and dst shape, src shape %s, dst shape %s",
GELOGE(ACL_ERROR_GE_SHAPE_INVALID,
"Failed to check relationship between src and dst shape, src shape %s, dst shape %s",
ShapeToString(src_shape).c_str(), ShapeToString(dst_shape).c_str());
return ACL_ERROR_GE_SHAPE_INVALID;
}
@@ -72,7 +73,8 @@ Status CheckArgsForNc1hwc0ToNhwc(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, const int size, const int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return ACL_ERROR_GE_MEMORY_ALLOCATION;


+ 10
- 5
ge/common/formats/format_transfers/format_transfer_nchw_fz_c04.cc View File

@@ -125,7 +125,8 @@ Status TransFormatFromNchwToFzC04(const TransArgs &args, TransResult &result) {
return ACL_ERROR_GE_INTERNAL_ERROR);
auto t1 = h_o * w_o;
auto t2 = n_o * c_o;
GE_IF_BOOL_EXEC(!CheckInt64MulOverflow(t1, t2), GELOGE(INTERNAL_ERROR, "int64 mul overflow.A[%ld], B[%ld]", t1, t2);
GE_IF_BOOL_EXEC(!CheckInt64MulOverflow(t1, t2),
GELOGE(INTERNAL_ERROR, "int64 mul overflow.A[%ld], B[%ld]", t1, t2);
return ACL_ERROR_GE_INTERNAL_ERROR);

int64_t total_ele_cnt = n_o * c_o * h_o * w_o;
@@ -140,7 +141,8 @@ Status TransFormatFromNchwToFzC04(const TransArgs &args, TransResult &result) {

std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -212,7 +214,8 @@ Status PaddingNC(const TransArgs &args, TransArgs &args_tmp, std::shared_ptr<uin
return ACL_ERROR_GE_INTERNAL_ERROR);
auto t1 = h_o * w_o;
auto t2 = n_o * c_o;
GE_IF_BOOL_EXEC(!CheckInt64MulOverflow(t1, t2), GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "int64 mul overflow.A[%ld], B[%ld]", t1, t2);
GE_IF_BOOL_EXEC(!CheckInt64MulOverflow(t1, t2),
GELOGE(ACL_ERROR_GE_INTERNAL_ERROR,"int64 mul overflow.A[%ld], B[%ld]", t1, t2);
return ACL_ERROR_GE_INTERNAL_ERROR);

int64_t total_ele_cnt = n_o * c_o * h_o * w_o;
@@ -228,7 +231,8 @@ Status PaddingNC(const TransArgs &args, TransArgs &args_tmp, std::shared_ptr<uin

dst.reset(new (std::nothrow) uint8_t[dst_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), dst_size);
return ACL_ERROR_GE_MEMORY_ALLOCATION;
@@ -275,7 +279,8 @@ Status FormatTransferNchwToFZC04::TransFormat(const TransArgs &args, TransResult
}

std::vector<int64_t> expect_shape;
ret = TransShape(args_tmp.src_format, args_tmp.src_shape, args_tmp.src_data_type, args_tmp.dst_format, expect_shape);
ret = TransShape(args_tmp.src_format, args_tmp.src_shape, args_tmp.src_data_type,
args_tmp.dst_format, expect_shape);
if (ret != SUCCESS) {
return ret;
}


+ 2
- 1
ge/common/formats/format_transfers/format_transfer_nhwc_nc1hwc0.cc View File

@@ -92,7 +92,8 @@ Status CheckArgsForNhwcToNc1hwc0(const TransArgs &args) {
Status GetDstDataAfterTrans(const TransArgs &args, TransResult &result, const int size, const int64_t total_size) {
std::shared_ptr<uint8_t> dst(new (std::nothrow) uint8_t[total_size], std::default_delete<uint8_t[]>());
if (dst == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION,
"Failed to trans format from %s to %s, can not alloc the memory for dst buf %ld, shape %s",
TypeUtils::FormatToSerialString(args.src_format).c_str(),
TypeUtils::FormatToSerialString(args.dst_format).c_str(), total_size, ShapeToString(args.dst_shape).c_str());
return ACL_ERROR_GE_MEMORY_ALLOCATION;


+ 7
- 5
ge/common/helper/model_helper.cc View File

@@ -87,12 +87,13 @@ Status ModelHelper::SaveSizeToModelDef(const GeModelPtr &ge_model) {

std::shared_ptr<ModelTaskDef> model_task_def = ge_model->GetModelTaskDefPtr();
if (model_task_def == nullptr) {
GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "Create model task def ptr failed");
return ACL_ERROR_GE_MEMORY_ALLOCATION;
GELOGD("SaveSizeToModelDef task_info_size is 0.");
om_info.push_back(0);
} else {
size_t partition_task_size = model_task_def->ByteSizeLong();
GELOGD("SaveSizeToModelDef task_info_size is %zu", partition_task_size);
om_info.push_back(partition_task_size);
}
size_t partition_task_size = model_task_def->ByteSizeLong();
GELOGD("SaveSizeToModelDef task_info_size is %zu", partition_task_size);
om_info.push_back(partition_task_size);

GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(*(ge_model.get()), "om_info_list", om_info),
GELOGE(FAILED, "SetListInt of om_info_list failed.");
@@ -598,6 +599,7 @@ Status ModelHelper::GenerateGeRootModel(OmFileLoadHelper &om_load_helper) {
is_first_model = false;
root_model_->SetRootGraph(GraphUtils::GetComputeGraph(cur_model->GetGraph()));
root_model_->SetModelId(cur_model->GetModelId());
root_model_->SetModelName(cur_model->GetName());
model_ = cur_model;
continue;
}


+ 1
- 1
ge/common/profiling/profiling_manager.cc View File

@@ -31,7 +31,7 @@ const char *const kFpPoint = "fp_point";
const char *const kBpPoint = "bp_point";

#ifdef DAVINCI_SUPPORT_PROFILING
const size_t kReportMaxLen = 2048;
const size_t kReportMaxLen = 1024;
const int32_t kMaxDeviceNum = 256;
const uint32_t kInteval = 2;
const std::string kConfigNumsdev = "devNums";


+ 11
- 0
ge/common/tbe_kernel_store.cc View File

@@ -15,6 +15,8 @@
*/

#include "common/tbe_kernel_store.h"
#include "graph/utils/attr_utils.h"
#include "graph/debug/ge_attr_define.h"

namespace ge {

@@ -31,6 +33,15 @@ void TBEKernelStore::LoadTBEKernelBinToOpDesc(const std::shared_ptr<ge::OpDesc>
GE_IF_BOOL_EXEC(!op_desc->SetExtAttr(ge::OP_EXTATTR_NAME_TBE_KERNEL, kernel_bin),
GELOGW("LoadKernelTBEBinToOpDesc: SetExtAttr for kernel_bin failed");)
GELOGI("Load tbe kernel:%s, %zu", kernel_bin->GetName().c_str(), kernel_bin->GetBinDataSize());

std::string atomic_kernel_name;
(void) AttrUtils::GetStr(op_desc, ATOMIC_ATTR_TBE_KERNEL_NAME, atomic_kernel_name);
if (!atomic_kernel_name.empty()) {
GELOGI("Get atomic kernel name is %s.", atomic_kernel_name.c_str());
auto atomic_kernel_bin = FindKernel(atomic_kernel_name);
GE_IF_BOOL_EXEC(!op_desc->SetExtAttr(EXT_ATTR_ATOMIC_TBE_KERNEL, atomic_kernel_bin),
GELOGW("LoadKernelTBEBinToOpDesc: SetExtAttr for atomic kernel_bin failed");)
}
}
}
}


+ 4
- 2
ge/executor/CMakeLists.txt View File

@@ -8,6 +8,7 @@ set(PROTO_LIST
)

protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST})
protobuf_generate(ge_static PROTO_STATIC_SRCS PROTO_STATIC_HDRS ${PROTO_LIST})

set(SRC_LIST
"ge_executor.cc"
@@ -162,7 +163,7 @@ set(SRC_LIST
)

######## libge_executor.a ########
add_library(ge_executor STATIC ${SRC_LIST} ${PROTO_HDRS})
add_library(ge_executor STATIC ${SRC_LIST} ${PROTO_STATIC_HDRS})

target_compile_options(ge_executor PRIVATE
$<$<OR:$<STREQUAL:${TARGET_SYSTEM_NAME},Linux>,$<STREQUAL:${TARGET_SYSTEM_NAME},Android>>:-fvisibility=hidden -O2 -Werror -Wno-deprecated-declarations -fno-common>
@@ -191,7 +192,7 @@ target_include_directories(ge_executor SYSTEM PRIVATE
${METADEF_DIR}/inc/external/graph
${METADEF_DIR}/inc/graph
${CMAKE_BINARY_DIR}
${CMAKE_BINARY_DIR}/proto/ge
${CMAKE_BINARY_DIR}/proto/ge_static
#### yellow zone ####
${GE_CODE_DIR}/../inc
${GE_CODE_DIR}/../inc/cce
@@ -212,6 +213,7 @@ target_link_libraries(ge_executor PRIVATE
add_library(ge_executor_shared SHARED ${SRC_LIST} ${PROTO_HDRS})

target_compile_options(ge_executor_shared PRIVATE
-fno-common
-Werror
-O2
-Wno-deprecated-declarations


+ 39
- 0
ge/executor/ge_executor.cc View File

@@ -30,6 +30,8 @@
#include "single_op/single_op_manager.h"
#include "graph/load/model_manager/davinci_model.h"
#include "opskernel_manager/ops_kernel_builder_manager.h"
#include "graph/opsproto_manager.h"
#include "ge_local_engine/engine/host_cpu_engine.h"

using std::string;
using std::vector;
@@ -199,6 +201,33 @@ bool IsDynmaicDimsSizeMatchModel(const vector<uint64_t> cur_dynamic_dims,
namespace ge {
bool GeExecutor::isInit_ = false;

static void InitOpsProtoManager() {
string opsproto_path;
const char *path_env = std::getenv("ASCEND_OPP_PATH");
if (path_env != nullptr) {
string path = path_env;
string file_path = RealPath(path.c_str());
if (file_path.empty()) {
GELOGE(FAILED, "[Check][EnvPath]ASCEND_OPP_PATH path [%s] is invalid.", path.c_str());
REPORT_INPUT_ERROR("E68016", {"ASCEND_OPP_PATH", path});
return;
}
opsproto_path = (path + "/op_proto/custom/" + ":") + (path + "/op_proto/built-in/");
GELOGI("Get opsproto so path from env : %s", path.c_str());
} else {
string path_base = PluginManager::GetPath();
GELOGI("path_base is %s", path_base.c_str());
path_base = path_base.substr(0, path_base.rfind('/'));
path_base = path_base.substr(0, path_base.rfind('/') + 1);
opsproto_path = (path_base + "ops/op_proto/custom/" + ":") + (path_base + "ops/op_proto/built-in/");
}
GELOGI("Get opsproto path is %s", opsproto_path.c_str());
OpsProtoManager *manager = OpsProtoManager::Instance();
map<string, string> option_tmp;
option_tmp.emplace(std::pair<string, string>(string("ge.opsProtoLibPath"), opsproto_path));
(void)manager->Initialize(option_tmp);
}

GeExecutor::GeExecutor() {}

Status GeExecutor::Initialize() {
@@ -208,6 +237,16 @@ Status GeExecutor::Initialize() {
return ge::SUCCESS;
}

OpTilingManager::GetInstance().LoadSo();

Status init_hostcpu_engine_status = HostCpuEngine::GetInstance().Initialize();
if (init_hostcpu_engine_status != SUCCESS) {
GELOGE(init_hostcpu_engine_status, "Failed to initialize HostCpuEngine");
return init_hostcpu_engine_status;
}

InitOpsProtoManager();

std::vector<rtMemType_t> mem_type(1, RT_MEMORY_HBM);
mem_type.push_back(RT_MEMORY_P2P_DDR);
auto ret = MemManager::Instance().Initialize(mem_type);


+ 8
- 6
ge/ge_local_engine/CMakeLists.txt View File

@@ -20,6 +20,8 @@ set(OPS_KERNEL_SRC_LIST
)

protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST})
protobuf_generate(ge_ops_shared PROTO_OPS_SHARED_SRCS PROTO_OPS_SHARED_HDRS ${PROTO_LIST})
protobuf_generate(ge_ops_static PROTO_OPS_STATIC_SRCS PROTO_OPS_STATIC_HDRS ${PROTO_LIST})

############ libge_local_engine.so ############
add_library(ge_local_engine SHARED ${SRC_LIST} ${PROTO_HDRS})
@@ -119,7 +121,7 @@ set_target_properties(atc_ge_local_engine PROPERTIES
)

############ libge_local_opskernel_builder.so ############
add_library(ge_local_opskernel_builder SHARED ${OPS_KERNEL_SRC_LIST} ${PROTO_HDRS})
add_library(ge_local_opskernel_builder SHARED ${OPS_KERNEL_SRC_LIST} ${PROTO_OPS_SHARED_HDRS})

target_compile_options(ge_local_opskernel_builder PRIVATE
-Werror
@@ -143,7 +145,7 @@ target_include_directories(ge_local_opskernel_builder PRIVATE
${METADEF_DIR}/inc/external/graph
${METADEF_DIR}/inc/graph
${CMAKE_BINARY_DIR}
${CMAKE_BINARY_DIR}/proto/ge
${CMAKE_BINARY_DIR}/proto/ge_ops_shared
#### yellow zone ####
${GE_CODE_DIR}/../inc
#### blue zone ####
@@ -166,7 +168,7 @@ target_link_libraries(ge_local_opskernel_builder PRIVATE
)

############ atclib/libge_local_opskernel_builder.so ############
add_library(atc_ge_local_opskernel_builder SHARED ${OPS_KERNEL_SRC_LIST} ${PROTO_HDRS})
add_library(atc_ge_local_opskernel_builder SHARED ${OPS_KERNEL_SRC_LIST} ${PROTO_OPS_SHARED_HDRS})

target_compile_options(atc_ge_local_opskernel_builder PRIVATE
-Werror
@@ -190,7 +192,7 @@ target_include_directories(atc_ge_local_opskernel_builder PRIVATE
${METADEF_DIR}/inc/external/graph
${METADEF_DIR}/inc/graph
${CMAKE_BINARY_DIR}
${CMAKE_BINARY_DIR}/proto/ge
${CMAKE_BINARY_DIR}/proto/ge_ops_shared
#### yellow zone ####
${GE_CODE_DIR}/../inc
#### blue zone ####
@@ -218,7 +220,7 @@ set_target_properties(atc_ge_local_opskernel_builder PROPERTIES
)

############ libge_local_opskernel_builder.a ############
add_library(ge_local_opskernel_builder_static STATIC ${OPS_KERNEL_SRC_LIST} ${PROTO_HDRS})
add_library(ge_local_opskernel_builder_static STATIC ${OPS_KERNEL_SRC_LIST} ${PROTO_OPS_STATIC_HDRS})

target_compile_options(ge_local_opskernel_builder_static PRIVATE
-Werror
@@ -243,7 +245,7 @@ target_include_directories(ge_local_opskernel_builder_static PRIVATE
${METADEF_DIR}/inc/external/graph
${METADEF_DIR}/inc/graph
${CMAKE_BINARY_DIR}
${CMAKE_BINARY_DIR}/proto/ge
${CMAKE_BINARY_DIR}/proto/ge_ops_static
#### yellow zone ####
${GE_CODE_DIR}/../inc
#### blue zone ####


+ 1
- 0
ge/ge_local_engine/ops_kernel_store/op/ge_deleted_op.cc View File

@@ -38,6 +38,7 @@ REGISTER_OP_CREATOR(ExpandDims, GeDeletedOp);
REGISTER_OP_CREATOR(Reshape, GeDeletedOp);
REGISTER_OP_CREATOR(ReFormat, GeDeletedOp);
REGISTER_OP_CREATOR(Squeeze, GeDeletedOp);
REGISTER_OP_CREATOR(Unsqueeze, GeDeletedOp);
REGISTER_OP_CREATOR(Size, GeDeletedOp);
REGISTER_OP_CREATOR(Shape, GeDeletedOp);
REGISTER_OP_CREATOR(ShapeN, GeDeletedOp);


+ 1
- 0
ge/ge_runtime/CMakeLists.txt View File

@@ -16,6 +16,7 @@ set(GE_SRC_LIST
"task/label_goto_task.cc"
"task/label_set_task.cc"
"task/label_switch_task.cc"
"task/label_manager.cc"
)

add_library(ge_runtime SHARED ${GE_SRC_LIST})


+ 41
- 10
ge/ge_runtime/task/label_goto_task.cc View File

@@ -23,26 +23,40 @@ LabelGotoTask::LabelGotoTask(const ModelContext &model_context, const std::share
: TaskRepeater<LabelGotoTaskInfo>(model_context, task_info),
task_info_(task_info),
stream_(nullptr),
label_(nullptr) {
index_value_(nullptr) {
if (task_info_ == nullptr) {
GELOGW("task_info_ is null!");
return;
}
auto stream_list = model_context.stream_list();
auto label_list = model_context.label_list();
rt_model_handle_ = model_context.rt_model_handle();
uint32_t stream_id = task_info->stream_id();
uint32_t label_id = task_info->label_id();
label_id_ = task_info->label_id();
GELOGI("Stream list size:%zu, stream id:%u.", stream_list.size(), stream_id);
GELOGI("Label list size:%zu, label id:%u.", label_list.size(), label_id);
if (stream_id >= stream_list.size() || label_id >= label_list.size()) {
GELOGI("Label list size:%zu, label id:%u.", label_list.size(), label_id_);
if (stream_id >= stream_list.size() || label_id_ >= label_list.size()) {
GELOGW("Stream/Label id invalid.");
return;
}
stream_ = stream_list[stream_id];
label_ = label_list[label_id];
label_manager_ = LabelManager::GetInstance();
if (label_manager_ == nullptr) {
GELOGW("Get label manager instance failed.");
return;
}
label_info_ = label_manager_->GetLabelInfo(rt_model_handle_, {label_id_}, label_list);
}

LabelGotoTask::~LabelGotoTask() {}
LabelGotoTask::~LabelGotoTask() {
if (index_value_ != nullptr) {
rtError_t rt_ret = rtFree(index_value_);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "rtFree index_value_ failed! ret: 0x%X.", rt_ret);
}
index_value_ = nullptr;
}
}

bool LabelGotoTask::Distribute() {
GELOGI("LabelGotoTask Distribute start.");
@@ -50,11 +64,29 @@ bool LabelGotoTask::Distribute() {
GELOGE(PARAM_INVALID, "stream is null!");
return false;
}
if (label_ == nullptr) {
GELOGE(PARAM_INVALID, "label is null!");

if (label_info_ == nullptr) {
GELOGE(PARAM_INVALID, "label info is null!");
return false;
}
rtError_t rt_ret = rtLabelGotoEx(label_, stream_);

if (index_value_ == nullptr) {
rtError_t rt_ret = rtMalloc(&index_value_, sizeof(uint64_t), RT_MEMORY_HBM);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return false;
}

uint64_t index = 0;
rt_ret = rtMemcpy(index_value_, sizeof(uint64_t), &index, sizeof(index), RT_MEMCPY_HOST_TO_DEVICE);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return false;
}
}

void *label_info = label_info_->GetLabelInfo();
rtError_t rt_ret = rtLabelSwitchByIndex(index_value_, 1, label_info, stream_);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return false;
@@ -65,6 +97,5 @@ bool LabelGotoTask::Distribute() {
}

REGISTER_TASK(TaskInfoType::LABEL_GOTO, LabelGotoTask, LabelGotoTaskInfo);

} // namespace model_runner
} // namespace ge

+ 9
- 1
ge/ge_runtime/task/label_goto_task.h View File

@@ -18,7 +18,11 @@
#define GE_GE_RUNTIME_TASK_LABEL_GOTO_TASK_H_

#include <memory>
#include <vector>
#include <map>
#include <mutex>
#include "ge_runtime/task/task.h"
#include "ge_runtime/task/label_manager.h"

namespace ge {
namespace model_runner {
@@ -33,7 +37,11 @@ class LabelGotoTask : public TaskRepeater<LabelGotoTaskInfo> {
private:
std::shared_ptr<LabelGotoTaskInfo> task_info_;
void *stream_;
void *label_;
std::shared_ptr<LabelGuard> label_info_;
void *index_value_;
uint32_t label_id_;
rtModel_t rt_model_handle_;
std::shared_ptr<LabelManager> label_manager_;
};
} // namespace model_runner
} // namespace ge


+ 119
- 0
ge/ge_runtime/task/label_manager.cc View File

@@ -0,0 +1,119 @@
/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "ge_runtime/task/label_manager.h"
#include <algorithm>
#include <string>
#include "runtime/mem.h"
#include "runtime/rt_model.h"
#include "common/ge_inner_error_codes.h"
#include "framework/common/debug/ge_log.h"

namespace ge {
namespace model_runner {
std::weak_ptr<LabelManager> LabelManager::instance_;
std::mutex LabelManager::instance_mutex_;

template <class T>
static std::string GetVectorString(const std::vector<T> &vec) {
std::string ret;
for (size_t i = 0; i < vec.size(); ++i) {
if (i != 0) {
ret.push_back(',');
}
ret += std::to_string(vec[i]);
}
return ret;
}

LabelGuard::~LabelGuard() {
void *label_info = GetLabelInfo();
if (label_info != nullptr) {
rtError_t rt_ret = rtFree(label_info);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "rtFree label_info failed! ret: 0x%X.", rt_ret);
}
}
}

std::shared_ptr<LabelManager> LabelManager::GetInstance() {
std::lock_guard<std::mutex> lock(instance_mutex_);
auto instance = instance_.lock();
if (instance != nullptr) {
return instance;
}

instance = std::make_shared<LabelManager>();
instance_ = instance;
return instance;
}

std::shared_ptr<LabelGuard> LabelManager::GetLabelInfo(rtModel_t model, const std::vector<uint32_t> &label_ids,
const std::vector<void *> &all_label) {
std::lock_guard<std::mutex> lock(model_info_mapping_mutex_);
rtError_t rt_ret;
auto model_iter = model_info_mapping_.find(model);
if (model_iter == model_info_mapping_.end()) {
model_info_mapping_.emplace(model, std::map<std::string, std::weak_ptr<LabelGuard>>());
model_iter = model_info_mapping_.find(model);
}

std::string label_id_str = GetVectorString(label_ids);
auto &label_map = model_iter->second;
auto label_iter = label_map.find(label_id_str);
if (label_iter != label_map.end()) {
auto label_guard = label_iter->second.lock();
if (label_guard != nullptr) {
GELOGI("model %p find same label id %s.", model, label_id_str.c_str());
return label_guard;
}
}

GELOGI("Alloc label id %s for model %p.", label_id_str.c_str(), model);
void *label_info;
std::vector<void *> label_list;
bool status = true;
std::transform(label_ids.begin(), label_ids.end(), std::back_inserter(label_list),
[&all_label, &status](uint32_t idx) -> void * {
if (idx >= all_label.size()) {
GELOGE(PARAM_INVALID, "Invalid label id %u, all label list size %zu.", idx, all_label.size());
status = false;
return nullptr;
}
return all_label[idx];
});
if (!status) {
GELOGE(PARAM_INVALID, "Get label info failed.");
return nullptr;
}
uint32_t label_info_size = sizeof(rtLabelDevInfo) * label_list.size();
rt_ret = rtMalloc(&label_info, label_info_size, RT_MEMORY_HBM);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return nullptr;
}

rt_ret = rtLabelListCpy(label_list.data(), label_list.size(), label_info, label_info_size);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return nullptr;
}

auto label_guard = std::make_shared<LabelGuard>(label_info);
label_map.emplace(label_id_str, label_guard);
return label_guard;
}
} // namespace model_runner
} // namespace ge

+ 54
- 0
ge/ge_runtime/task/label_manager.h View File

@@ -0,0 +1,54 @@
/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef GE_GE_RUNTIME_TASK_LABEL_MANAGER_H_
#define GE_GE_RUNTIME_TASK_LABEL_MANAGER_H_

#include <vector>
#include <memory>
#include <mutex>
#include <map>
#include <runtime/base.h>

namespace ge {
namespace model_runner {
class LabelGuard {
public:
explicit LabelGuard(void *label_info) : label_info_(reinterpret_cast<uintptr_t>(label_info)) {}
~LabelGuard();
void *GetLabelInfo() { return reinterpret_cast<void *>(label_info_); }

private:
uintptr_t label_info_;
};

class LabelManager {
public:
static std::shared_ptr<LabelManager> GetInstance();
std::shared_ptr<LabelGuard> GetLabelInfo(rtModel_t model, const std::vector<uint32_t> &label_ids,
const std::vector<void *> &all_label);

private:
std::mutex model_info_mapping_mutex_;
std::map<rtModel_t, std::map<std::string, std::weak_ptr<LabelGuard>>> model_info_mapping_;

static std::weak_ptr<LabelManager> instance_;
static std::mutex instance_mutex_;
};


} // namespace model_runner
} // namespace ge
#endif // GE_GE_RUNTIME_TASK_LABEL_MANAGER_H_

+ 13
- 42
ge/ge_runtime/task/label_switch_task.cc View File

@@ -24,14 +24,14 @@ LabelSwitchTask::LabelSwitchTask(const ModelContext &model_context,
: TaskRepeater<LabelSwitchTaskInfo>(model_context, task_info),
task_info_(task_info),
stream_(nullptr),
all_label_resource_(),
label_info_(nullptr) {
if (task_info_ == nullptr) {
GELOGW("task_info_ is null!");
return;
}

all_label_resource_ = model_context.label_list();
rt_model_handle_ = model_context.rt_model_handle();
auto all_label_resource = model_context.label_list();
auto stream_list = model_context.stream_list();
uint32_t stream_id = task_info->stream_id();
GELOGI("Stream list size:%zu, stream id:%u.", stream_list.size(), stream_id);
@@ -40,52 +40,24 @@ LabelSwitchTask::LabelSwitchTask(const ModelContext &model_context,
return;
}
stream_ = stream_list[stream_id];
}

LabelSwitchTask::~LabelSwitchTask() {
if (label_info_ != nullptr) {
rtError_t rt_ret = rtFree(label_info_);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "rtFree fwkOpBuf failed! ret: 0x%X.", rt_ret);
}
label_info_ = nullptr;
label_manager_ = LabelManager::GetInstance();
if (label_manager_ == nullptr) {
GELOGW("Get label manager instance failed.");
return;
}
label_info_ = label_manager_->GetLabelInfo(rt_model_handle_, task_info_->label_list(), all_label_resource);
}

LabelSwitchTask::~LabelSwitchTask() {}

bool LabelSwitchTask::Distribute() {
GELOGI("LabelSwitchTask Distribute start.");
if (!CheckParamValid()) {
return false;
}

const std::vector<uint32_t> &label_index_list = task_info_->label_list();
std::vector<void *> label_list(task_info_->label_size(), nullptr);

for (size_t i = 0; i < task_info_->label_size(); ++i) {
uint32_t label_index = label_index_list[i];
if (label_index >= all_label_resource_.size()) {
GELOGE(PARAM_INVALID, "label %zu index is %u, but there are %zu labels in total.", i, label_index,
all_label_resource_.size());
return false;
}
label_list[i] = all_label_resource_[label_index];
GELOGI("Case %zu: label id %zu.", i, label_index);
}

uint32_t label_info_size = sizeof(rtLabelDevInfo) * task_info_->label_size();
rtError_t rt_ret = rtMalloc(&label_info_, label_info_size, RT_MEMORY_HBM);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return false;
}

rt_ret = rtLabelListCpy(label_list.data(), label_list.size(), label_info_, label_info_size);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return false;
}

rt_ret = rtLabelSwitchByIndex(task_info_->cond(), label_list.size(), label_info_, stream_);
void *label_info = label_info_->GetLabelInfo();
rtError_t rt_ret = rtLabelSwitchByIndex(task_info_->cond(), task_info_->label_size(), label_info, stream_);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return false;
@@ -117,8 +89,8 @@ bool LabelSwitchTask::CheckParamValid() {
return false;
}

if (label_info_ != nullptr) {
GELOGE(PARAM_INVALID, "label_info_ has dirty data.");
if (label_info_ == nullptr) {
GELOGE(PARAM_INVALID, "CopyLabelList failed, label info is null.");
return false;
}

@@ -126,6 +98,5 @@ bool LabelSwitchTask::CheckParamValid() {
}

REGISTER_TASK(TaskInfoType::LABEL_SWITCH, LabelSwitchTask, LabelSwitchTaskInfo);

} // namespace model_runner
} // namespace ge

+ 4
- 2
ge/ge_runtime/task/label_switch_task.h View File

@@ -19,6 +19,7 @@

#include <memory>
#include "ge_runtime/task/task.h"
#include "ge_runtime/task/label_manager.h"

namespace ge {
namespace model_runner {
@@ -35,8 +36,9 @@ class LabelSwitchTask : public TaskRepeater<LabelSwitchTaskInfo> {

std::shared_ptr<LabelSwitchTaskInfo> task_info_;
void *stream_;
std::vector<void *> all_label_resource_;
void *label_info_;
rtModel_t rt_model_handle_;
std::shared_ptr<LabelGuard> label_info_;
std::shared_ptr<LabelManager> label_manager_;
};
} // namespace model_runner
} // namespace ge


+ 116
- 36
ge/generator/ge_generator.cc View File

@@ -50,9 +50,13 @@ const char *const kFileNameSuffix = "online";
const char *const kAicpuAllshape = "_AllShape";
constexpr char const *kAttrSupportDynamicShape = "support_dynamicshape";
const int64_t kDynamicDimValue = -2;
const int kDefaultDeviceId = 0;
const int kDefaultJobId = 0;

std::map<ge::OpEngineType, std::string> engine_type_map{
{ge::ENGINE_SYS, kEngineNameDefault}, {ge::ENGINE_AICORE, kAIcoreEngine}, {ge::ENGINE_VECTOR, kVectorEngine}};
{ge::ENGINE_SYS, kEngineNameDefault},
{ge::ENGINE_AICORE, kAIcoreEngine},
{ge::ENGINE_VECTOR, kVectorEngine}};

bool ContainsDynamicInpus(const ge::OpDesc &op_desc) {
for (auto &tensor_desc : op_desc.GetAllInputsDescPtr()) {
@@ -63,6 +67,9 @@ bool ContainsDynamicInpus(const ge::OpDesc &op_desc) {
}
return false;
}
bool IsOptional(const ge::GeTensorDesc &tensor_desc) {
return tensor_desc.GetFormat() == ge::FORMAT_RESERVED && tensor_desc.GetDataType() == ge::DT_UNDEFINED;
}
} // namespace

namespace ge {
@@ -83,8 +90,9 @@ static Status CheckEngineTypeSupport(const NodePtr &node, OpEngineType engine_ty
} else {
ErrorManager::GetInstance().ATCReportErrMessage("E14001", {"opname", "optype", "value", "reason"},
{op_desc->GetName(), op_desc->GetType(), "engine type",
"it only support kEngineNameDefault/kAIcoreEngine/kVectorEngine"});
GELOGE(FAILED, "CheckEngineType: engine type: %d not support", static_cast<int>(engine_type));
"it only support default/AIcoreEngine/VectorEngine"});
GELOGE(FAILED, "[Check][EngineType]value:%d not support, "
"only support default/AIcoreEngine/VectorEngine now", static_cast<int>(engine_type));
return FAILED;
}

@@ -149,7 +157,7 @@ static Status CheckEngineTypeSupport(const NodePtr &node, OpEngineType engine_ty
}

static Status AddInputs(const ComputeGraphPtr &graph, const NodePtr &node, const GeTensorDesc &tensor, int32_t index,
bool attr) {
bool attr, int32_t &data_index) {
GE_CHECK_NOTNULL_EXEC(graph, return PARAM_INVALID);
GE_CHECK_NOTNULL_EXEC(node, return PARAM_INVALID);

@@ -188,17 +196,21 @@ static Status AddInputs(const ComputeGraphPtr &graph, const NodePtr &node, const

(void)AttrUtils::SetBool(data_op, "_is_single_op", true);

GE_CHK_BOOL_EXEC(data_op->AddInputDesc(tensor) == GRAPH_SUCCESS, return FAILED, "Add input desc fail.");
GE_CHK_BOOL_EXEC(data_op->AddOutputDesc(tensor) == GRAPH_SUCCESS, return FAILED, "Add output desc fail.");
if (attr) {
GE_CHK_BOOL_EXEC(AttrUtils::SetInt(data_op, ATTR_NAME_INDEX, index), return FAILED, "Set index fail.");
GE_CHK_BOOL_EXEC(data_op->AddInputDesc(tensor) == GRAPH_SUCCESS, return FAILED,
"[Add][InputDesc]fail for node:%s", data_op->GetName().c_str());
GE_CHK_BOOL_EXEC(data_op->AddOutputDesc(tensor) == GRAPH_SUCCESS, return FAILED,
"[Add][OutputDesc]fail for node:%s", data_op->GetName().c_str());
if (attr && !is_const) {
GE_CHK_BOOL_EXEC(AttrUtils::SetInt(data_op, ATTR_NAME_INDEX, data_index), return FAILED,
"[Set][Attr:%s]fail for node:%s", ATTR_NAME_INDEX.c_str(), data_op->GetName().c_str());
++data_index;
}

ge::NodePtr arg_node = graph->AddNode(data_op);
GE_CHK_BOOL_EXEC(arg_node != nullptr, return FAILED, "Insert Data node fail.");
GE_CHK_BOOL_EXEC(arg_node != nullptr, return FAILED, "Insert Data node fail");

GE_CHK_STATUS(GraphUtils::AddEdge(arg_node->GetOutDataAnchor(0), node->GetInDataAnchor(index)),
"Add edge[%s->%s] fail.", data_op->GetName().c_str(), node->GetName().c_str());
"[Add][Edge]fail from node:%s to node:%s", data_op->GetName().c_str(), node->GetName().c_str());

return SUCCESS;
}
@@ -213,20 +225,23 @@ static Status AddOutputs(const ComputeGraphPtr &graph, const NodePtr &node, cons
for (const auto &out_desc : outputs) {
GeTensorDesc tensor = out_desc.GetTensorDesc();
TensorUtils::SetInputTensor(tensor, true);
GE_CHK_BOOL_EXEC(op_desc->AddInputDesc(tensor) == GRAPH_SUCCESS, return FAILED, "Add input desc fail");
GE_CHK_BOOL_EXEC(op_desc->AddInputDesc(tensor) == GRAPH_SUCCESS, return FAILED,
"[Add][InputDesc]fail for node:%s", op_desc->GetName().c_str());

TensorUtils::SetInputTensor(tensor, false);
TensorUtils::SetOutputTensor(tensor, true);
GE_CHK_BOOL_EXEC(op_desc->AddOutputDesc(tensor) == GRAPH_SUCCESS, return FAILED, "Add output desc fail");
GE_CHK_BOOL_EXEC(op_desc->AddOutputDesc(tensor) == GRAPH_SUCCESS, return FAILED,
"[Add][OutputDesc]fail for node:%s", op_desc->GetName().c_str());
count++;
}
GE_CHECK_NOTNULL_EXEC(graph, return PARAM_INVALID);
ge::NodePtr out_node = graph->AddNode(op_desc);
GE_CHK_BOOL_EXEC(out_node != nullptr, return FAILED, "Insert Output node fail.");
GE_CHK_BOOL_EXEC(out_node != nullptr, return FAILED,
"[Add][Node:%s]fail in graph:%u", op_desc->GetName().c_str(), graph->GetGraphID());
GE_CHECK_NOTNULL_EXEC(node, return PARAM_INVALID);
for (int32_t i = 0; i < count; ++i) {
GE_CHK_STATUS(GraphUtils::AddEdge(node->GetOutDataAnchor(i), out_node->GetInDataAnchor(i)),
"Add edge[%s->%s] fail.", node->GetName().c_str(), out_node->GetName().c_str());
"[Add][Edge]fail from node:%s to node:%s", node->GetName().c_str(), out_node->GetName().c_str());
}

return SUCCESS;
@@ -554,6 +569,44 @@ bool GeGenerator::Impl::SetOmSystemInfo(AttrHolder &obj) {
return true;
}

Status GeGenerator::SetModelNameForDump(const GeRootModelPtr &ge_root_model) {
bool is_unknown_shape = false;
Status ret = ge_root_model->CheckIsUnknownShape(is_unknown_shape);
if (ret != SUCCESS) {
GELOGE(FAILED, "[Check][IsUnknownShape]Check root model is unknown shape failed, model id:%u",
ge_root_model->GetModelId());
REPORT_CALL_ERROR("E19999", "Check root model is unknown shape failed, model id:%zu",
ge_root_model->GetModelId());
return FAILED;
}
GeModelPtr model_root = nullptr;
if (is_unknown_shape) {
model_root = MakeShared<GeModel>();
GE_CHECK_NOTNULL(model_root);
model_root->SetGraph(GraphUtils::CreateGraphFromComputeGraph(ge_root_model->GetRootGraph()));
ge_root_model->SetSubgraphInstanceNameToModel(ge_root_model->GetRootGraph()->GetName(), model_root);
}

ModelHelper model_helper;
string model_name;
GE_CHECK_NOTNULL(ge_root_model->GetRootGraph());
Status name_ret = model_helper.GetModelNameFromMergedGraphName(ge_root_model->GetRootGraph()->GetName(),
model_name);
if (name_ret != SUCCESS) {
ErrorManager::GetInstance().ATCReportErrMessage("E10000", {"parameter"}, {"output"});
GELOGE(FAILED, "[Check][GetModelNameStep]Get model_name failed. Param --output is invalid, root graph name: %s",
ge_root_model->GetRootGraph()->GetName().c_str());
REPORT_CALL_ERROR("E19999", "Get model_name failed. Param --output is invalid, root graph name: %s",
ge_root_model->GetRootGraph()->GetName().c_str());
return PARAM_INVALID;
}
map<string, GeModelPtr> name_to_ge_model = ge_root_model->GetSubgraphInstanceNameToModel();
GeModelPtr &ge_model = name_to_ge_model[ge_root_model->GetRootGraph()->GetName()];
GE_CHECK_NOTNULL(ge_model);
ge_model->SetName(model_name);
return SUCCESS;
}

Status GeGenerator::GenerateModel(const Graph &graph, const string &file_name_prefix, const vector<GeTensor> &inputs,
ModelBufferData &model, bool is_offline) {
rtContext_t ctx = nullptr;
@@ -588,20 +641,10 @@ Status GeGenerator::GenerateModel(const Graph &graph, const string &file_name_pr
}

GE_CHECK_NOTNULL(ge_root_model);
GE_CHECK_NOTNULL(ge_root_model->GetRootGraph());
ModelHelper model_helper;
string model_name = "";
Status name_ret = model_helper.GetModelNameFromMergedGraphName(ge_root_model->GetRootGraph()->GetName(),
model_name);
if (name_ret != SUCCESS) {
ErrorManager::GetInstance().ATCReportErrMessage("E10000", {"parameter"}, {"output"});
GELOGE(FAILED, "Get model_name failed. Param --output is invalid.");
return PARAM_INVALID;
ret = SetModelNameForDump(ge_root_model);
if (ret != SUCCESS) {
return ret;
}
map<string, GeModelPtr> name_to_ge_model = ge_root_model->GetSubgraphInstanceNameToModel();
GeModelPtr &ge_model = name_to_ge_model[ge_root_model->GetRootGraph()->GetName()];
GE_RETURN_WITH_LOG_IF_FALSE(ge_model != nullptr, "ge_model cannot be null");
ge_model->SetName(model_name);
ret = impl_->SaveRootModel(file_name_prefix, ge_root_model, model);
if (ret != SUCCESS) {
GELOGE(ret, "Save model failed");
@@ -652,6 +695,34 @@ namespace {
}
return SUCCESS;
}

bool CheckNoAicore(const ComputeGraphPtr &graph) {
for (const auto &node : graph->GetDirectNode()) {
if (node == nullptr) {
continue;
}
auto op_desc = node->GetOpDesc();
if (op_desc == nullptr) {
continue;
}
if (op_desc->GetOpEngineName() == kAIcoreEngine) {
return false;
}
}
return true;
}
}

void GeGenerator::RemoveConst(const vector<GeTensor> &inputs, vector<GeTensor> &outputs) {
for (auto &input : inputs) {
GeTensorDesc input_desc = input.GetTensorDesc();
bool is_const = false;
(void)AttrUtils::GetBool(input_desc, CONST_ATTR_NAME_INPUT, is_const);
bool is_optional = IsOptional(input_desc);
if (!is_optional && !is_const) {
outputs.emplace_back(input);
}
}
}

Status GeGenerator::CheckForSingleOp(OpDescPtr &op_desc, const vector<GeTensor> &inputs,
@@ -710,7 +781,7 @@ Status GeGenerator::BuildSingleOp(OpDescPtr &op_desc, const vector<GeTensor> &in
auto node = comp_graph->FindNode(op_desc->GetName());
Status ret = CheckEngineTypeSupport(node, engine_type);
if (ret != SUCCESS) {
GELOGE(ret, "check engine type failed.");
GELOGE(ret, "[Check][EngineType]value:%d for node:%s not support", engine_type, node->GetName().c_str());
return ret;
}
}
@@ -718,7 +789,9 @@ Status GeGenerator::BuildSingleOp(OpDescPtr &op_desc, const vector<GeTensor> &in
GELOGI("ATC parser success in single op build.");

GeRootModelPtr ge_root_model = nullptr;
GE_CHK_STATUS_RET_NOLOG(impl_->BuildModel(graph, inputs, ge_root_model));
vector<GeTensor> data_inputs;
RemoveConst(inputs, data_inputs);
GE_CHK_STATUS_RET_NOLOG(impl_->BuildModel(graph, data_inputs, ge_root_model));
map<string, GeAttrValue> op_attrs = op_desc_tmp->GetAllAttrs();
GE_CHECK_NOTNULL(ge_root_model);
GE_CHECK_NOTNULL(ge_root_model->GetRootGraph());
@@ -734,7 +807,7 @@ Status GeGenerator::BuildSingleOp(OpDescPtr &op_desc, const vector<GeTensor> &in

bool all_shape = false;
(void)AttrUtils::GetBool(op_desc, kAicpuAllshape, all_shape);
if (all_shape) {
if (all_shape && CheckNoAicore(root_graph)) {
GELOGD("Get aicpu all_shape kernel!");
vector<GeTensor> inputs_dynamic;
vector<GeTensor> outputs_dynamic;
@@ -801,18 +874,19 @@ Status GeGenerator::BuildSingleOpGraph(OpDescPtr &op_desc, const vector<GeTensor

// 2. Create InputData node.
int32_t arg_index = 0;
int32_t data_index = 0;
if (inputs.empty()) {
for (const auto &input_desc : op_desc->GetAllInputsDescPtr()) {
GE_CHECK_NOTNULL_EXEC(input_desc, return INTERNAL_ERROR);
if (!IsNeedConnectInputOpForSingleOp(*input_desc)) {
continue;
}
GE_CHK_STATUS_RET_NOLOG(AddInputs(compute_graph, op_node, *input_desc, arg_index, false));
GE_CHK_STATUS_RET_NOLOG(AddInputs(compute_graph, op_node, *input_desc, arg_index, false, data_index));
arg_index++;
}
} else {
for (const auto &in_desc : inputs) {
GE_CHK_STATUS_RET_NOLOG(AddInputs(compute_graph, op_node, in_desc.GetTensorDesc(), arg_index, true));
GE_CHK_STATUS_RET_NOLOG(AddInputs(compute_graph, op_node, in_desc.GetTensorDesc(), arg_index, true, data_index));
arg_index++;
}
}
@@ -871,13 +945,12 @@ Status GeGenerator::Impl::SaveRootModel(const string &file_name_prefix, GeRootMo
"ge root model has no sub model")
GeModelPtr model_root = nullptr;
if (is_unknown_shape) {
model_root = make_shared<GeModel>();
model_root->SetGraph(GraphUtils::CreateGraphFromComputeGraph(ge_root_model->GetRootGraph()));
ge_root_model->SetSubgraphInstanceNameToModel(ge_root_model->GetRootGraph()->GetName(), model_root);
model_root->SetName(ge_root_model->GetRootGraph()->GetName());
auto name_to_ge_model = ge_root_model->GetSubgraphInstanceNameToModel();
model_root = name_to_ge_model[ge_root_model->GetRootGraph()->GetName()];
} else {
model_root = ge_root_model->GetSubgraphInstanceNameToModel().begin()->second;
}
GE_CHECK_NOTNULL(model_root);
// set atc version
if (!SetAtcVersionInfo(*(model_root.get()))) {
GELOGW("SetPackageVersionInfo of atc failed!");
@@ -915,6 +988,13 @@ Status GeGenerator::Impl::BuildModel(const Graph &graph, const vector<GeTensor>

static std::atomic<uint64_t> atomic_session_id(0);
auto session_id = atomic_session_id.fetch_add(1);
// This is a temporary add for graph with variable
auto version = static_cast<int32_t>(SessionVersion::ClOUD_VERSION);
ret = VarManager::Instance(session_id)->Init(version, session_id, kDefaultDeviceId, kDefaultJobId);
GELOGI("Start init var instance, session_id %lu", session_id);
if (ret != SUCCESS) {
GELOGW("Failed init var instance, session_id %lu", session_id);
}
if (is_singleop_unregistered_) {
ret = graph_manager_.BuildGraphForUnregisteredOp(graph_id, inputs, ge_root_model, session_id);
} else {


+ 0
- 51
ge/graph/build/graph_builder.cc View File

@@ -382,54 +382,6 @@ Status GraphBuilder::BuildForHostCpuGraph(ComputeGraphPtr &comp_graph, GeModelPt
return BuildForUnknownShapeGraph(comp_graph, ge_model_ptr, session_id);
}

static Status InsertMemcpyNode(const ComputeGraphPtr &graph, const OutDataAnchorPtr &out_anchor,
const std::vector<InDataAnchorPtr> &in_anchors, const std::string &name) {
GE_CHECK_NOTNULL(out_anchor);
NodePtr in_node = out_anchor->GetOwnerNode();
GE_CHECK_NOTNULL(in_node);
OpDescBuilder op_desc_builder(name, MEMCPYADDRASYNC);
OpDescPtr op_desc = op_desc_builder.AddInput("x", in_node->GetOpDesc()->GetOutputDesc(0))
.AddOutput("y", in_node->GetOpDesc()->GetOutputDesc(0))
.Build();
(void)AttrUtils::SetBool(op_desc, ATTR_NO_NEED_CONSTANT_FOLDING, false);
if (GraphUtils::InsertNodeAfter(out_anchor, in_anchors, graph->AddNode(op_desc)) != GRAPH_SUCCESS) {
GELOGE(FAILED, "Insert IDENTITY node %s after %s failed.", name.c_str(), in_node->GetName().c_str());
return FAILED;
}
return SUCCESS;
}

static Status GenerateTaskForConstant(const std::shared_ptr<ComputeGraph> &graph) {
for (auto &node : graph->GetDirectNode()) {
// CONSTANT not generate task, so insert IDENTITY between CONSTANT and NETOUTPUT
auto op_desc = node->GetOpDesc();
if (op_desc == nullptr) {
continue;
}
auto op_type = op_desc->GetType();
if (op_type == NETOUTPUT) {
for (InDataAnchorPtr &in_data_anchor : node->GetAllInDataAnchors()) {
const OutDataAnchorPtr &peer_out_anchor = in_data_anchor->GetPeerOutAnchor();
GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
NodePtr in_node = peer_out_anchor->GetOwnerNode();
GE_CHECK_NOTNULL(in_node);

std::string in_node_op_type = in_node->GetType();
if (in_node_op_type == CONSTANT) {
GELOGD("Insert MemcpyAsync node between %s and %s.", in_node->GetName().c_str(), node->GetName().c_str());
std::string name = node->GetName() + "_input_" + std::to_string(in_data_anchor->GetIdx()) + "_Memcpy";
if (InsertMemcpyNode(graph, peer_out_anchor, {in_data_anchor}, name) != SUCCESS) {
GELOGE(FAILED, "Insert memcpy between %s and %s failed.",
in_node->GetName().c_str(), node->GetName().c_str());
return FAILED;
}
}
}
}
}
return SUCCESS;
}

Status GraphBuilder::MarkFpBpProfilingTaskAttr(ComputeGraphPtr &com_graph) {
bool original_unknown_shape_flag = com_graph->GetGraphUnknownFlag();
com_graph->SetGraphUnknownFlag(false);
@@ -512,9 +464,6 @@ Status GraphBuilder::BuildForDynamicShapeGraph(ComputeGraphPtr &comp_graph,
!sub_graph->GetParentGraph()->GetGraphUnknownFlag()) {
continue;
}

GE_CHK_STATUS_RET(GenerateTaskForConstant(sub_graph), "Generate task For constant node in subgraph failed.");

if (sub_graph->GetGraphUnknownFlag()) {
// unknown shape build flow
GE_CHK_STATUS_RET(BuildForUnknownShapeGraph(sub_graph, ge_model_ptr, session_id),


+ 35
- 25
ge/graph/build/logical_stream_allocator.cc View File

@@ -33,13 +33,21 @@ using std::queue;
namespace ge {
LogicalStreamPass::LogicalStreamPass(const string &name) : name_(name) {}

const string &LogicalStreamPass::GetName() const { return name_; }
const string &LogicalStreamPass::GetName() const {
return name_;
}

bool LogicalStreamPass::IsEngineSkip(const Subgraph &subgraph) const { return subgraph.engine_conf.skip_assign_stream; }
bool LogicalStreamPass::IsEngineSkip(const Subgraph &subgraph) const {
return subgraph.engine_conf.skip_assign_stream;
}

bool LogicalStreamPass::IsEngineAttach(const Subgraph &subgraph) const { return subgraph.engine_conf.attach; }
bool LogicalStreamPass::IsEngineAttach(const Subgraph &subgraph) const {
return subgraph.engine_conf.attach;
}

bool LogicalStreamPass::IsEngineIndependent(const Subgraph &subgraph) const { return subgraph.engine_conf.independent; }
bool LogicalStreamPass::IsEngineIndependent(const Subgraph &subgraph) const {
return subgraph.engine_conf.independent;
}

bool LogicalStreamPass::HasStreamLabel(const Subgraph &subgraph) const {
return !subgraph.subgraph_info.GetStreamLabel().empty();
@@ -60,14 +68,14 @@ Status AssignByLabelPass::Run(ComputeGraphPtr graph, const vector<SubgraphPtr> &
// Subgraphs of the same stream_label are assigned to the same stream,
// and different stream_labels are assigned new streams.
auto iter = label_streams.find(stream_label);
if (iter != label_streams.end()) {
subgraph->stream_id = iter->second;
} else {
if (iter == label_streams.end()) {
subgraph->stream_id = next_stream;
GELOGI("Assign new stream %ld for label %s.", next_stream, stream_label.c_str());

label_streams.emplace(stream_label, next_stream);
++next_stream;
next_stream++;
} else {
subgraph->stream_id = iter->second;
}
changed = true;
}
@@ -92,15 +100,15 @@ Status IndependentStreamPass::Run(ComputeGraphPtr graph, const vector<SubgraphPt
const string &stream_label = subgraph->subgraph_info.GetStreamLabel();
auto &label_streams = engine_streams[engine];
auto iter = label_streams.find(stream_label);
if (iter != label_streams.end()) {
subgraph->stream_id = iter->second;
} else {
if (iter == label_streams.end()) {
subgraph->stream_id = next_stream;
GELOGI("Assign new independent stream %ld for engine %s (label: %s).", next_stream, engine.c_str(),
stream_label.c_str());

label_streams.emplace(stream_label, next_stream);
++next_stream;
next_stream++;
} else {
subgraph->stream_id = iter->second;
}
changed = true;
}
@@ -121,7 +129,9 @@ Status AssignByDependencyPass::Run(ComputeGraphPtr graph, const vector<SubgraphP
}

SubgraphPtr reusable_subgraph = GetReusableSubgraph(subgraph, end_subgraph_map, pld_subgraph_map);
if (reusable_subgraph != nullptr) {
if (reusable_subgraph == nullptr) {
(void)AssignNewStream(subgraph);
} else {
if (HasAssignedStream(*reusable_subgraph)) {
subgraph->stream_id = reusable_subgraph->stream_id;
} else {
@@ -140,8 +150,6 @@ Status AssignByDependencyPass::Run(ComputeGraphPtr graph, const vector<SubgraphP
GELOGI("Subgraph %s of engine %s reuses stream of subgraph %s of engine %s.", subgraph->name.c_str(),
subgraph->engine_conf.id.c_str(), reusable_subgraph->name.c_str(),
reusable_subgraph->engine_conf.id.c_str());
} else {
(void)AssignNewStream(subgraph);
}
changed = true;
}
@@ -191,13 +199,15 @@ bool AssignByDependencyPass::CouldReuse(const SubgraphPtr &subgraph, const Subgr
auto iter = pld_subgraph_map.find(end_pld_pair.second);
if (iter != pld_subgraph_map.end()) {
const SubgraphPtr &pred_subgraph_succ = iter->second;
if (pred_subgraph_succ != subgraph && pred_subgraph_succ->engine_conf.id == pred_subgraph->engine_conf.id) {
if ((pred_subgraph_succ != subgraph) &&
(pred_subgraph_succ->engine_conf.id == pred_subgraph->engine_conf.id)) {
return false;
}
}
}

if ((subgraph->engine_conf.id == pred_subgraph->engine_conf.id) || IsEngineAttach(*subgraph)) {
if ((subgraph->engine_conf.id == pred_subgraph->engine_conf.id) ||
IsEngineAttach(*subgraph)) {
return true;
}

@@ -406,7 +416,7 @@ Status UpdateForSkippedEnginePass::Run(ComputeGraphPtr graph, const vector<Subgr
auto op_desc = node->GetOpDesc();
GE_CHECK_NOTNULL(op_desc);
auto stream_id = op_desc->GetStreamId();
if (stream_id != kInvalidStream && !HasStreamLabel(*subgraph)) {
if ((stream_id != kInvalidStream) && !HasStreamLabel(*subgraph)) {
ops_without_label.emplace(op_desc);
}
}
@@ -463,7 +473,7 @@ Status AllReduceParallelPass::Run(ComputeGraphPtr graph, const vector<SubgraphPt

for (const NodePtr &node : graph->GetDirectNode()) {
if (!IsHcomNode(node->GetType()) ||
node->GetInDataNodes().size() <= 1) {
(node->GetInDataNodes().size() <= 1)) {
continue;
}

@@ -575,7 +585,7 @@ Status LogicalStreamAllocator::DoAssign(const ComputeGraphPtr &graph, const Grap
GE_CHECK_NOTNULL(graph);

NodePtr parent_node = graph->GetParentNode();
if (parent_node == nullptr || parent_node->GetOpDesc() == nullptr) {
if ((parent_node == nullptr) || (parent_node->GetOpDesc() == nullptr)) {
context_.default_stream = kInvalidStream;
} else {
context_.default_stream = parent_node->GetOpDesc()->GetStreamId();
@@ -597,7 +607,7 @@ Status LogicalStreamAllocator::DoAssign(const ComputeGraphPtr &graph, const Grap
return status;
}

GELOGD("Subgraphs of graph %s:", graph->GetName().c_str());
GELOGD("Subgraphs of graph %s", graph->GetName().c_str());
for (const auto &subgraph : subgraphs) {
if (subgraph != nullptr) {
GELOGD("subgraph: %s", subgraph->name.c_str());
@@ -686,7 +696,7 @@ void LogicalStreamAllocator::RefreshContinuousStreams(const ComputeGraphPtr &gra
auto op_desc = node->GetOpDesc();
if (op_desc != nullptr) {
int64_t stream_id = op_desc->GetStreamId();
if (stream_id != kInvalidStream && stream_id < stream_num) {
if ((stream_id != kInvalidStream) && (stream_id < stream_num)) {
stream_has_node[stream_id] = true;
}
}
@@ -695,10 +705,10 @@ void LogicalStreamAllocator::RefreshContinuousStreams(const ComputeGraphPtr &gra

context_.next_stream = 0;
vector<int64_t> old_to_new_streams(stream_num, kInvalidStream);
for (size_t old_stream = 0; old_stream < stream_has_node.size(); ++old_stream) {
for (size_t old_stream = 0; old_stream < stream_has_node.size(); old_stream++) {
if (stream_has_node[old_stream]) {
old_to_new_streams[old_stream] = context_.next_stream;
++context_.next_stream;
context_.next_stream++;
}
}

@@ -706,7 +716,7 @@ void LogicalStreamAllocator::RefreshContinuousStreams(const ComputeGraphPtr &gra
auto op_desc = node->GetOpDesc();
if (op_desc != nullptr) {
int64_t stream_id = op_desc->GetStreamId();
if (stream_id != kInvalidStream && stream_id < stream_num) {
if ((stream_id != kInvalidStream) && (stream_id < stream_num)) {
op_desc->SetStreamId(old_to_new_streams[stream_id]);
}
}


+ 12
- 3
ge/graph/build/memory/binary_block_mem_assigner.cc View File

@@ -70,7 +70,10 @@ Status BinaryBlockMemAssigner::GetMemoryRanges(vector<int64_t> &range_ceils) {
return SUCCESS;
}
if ((all_memory_size.front() <= 0) || (log(kLogBase) == 0)) {
GELOGE(FAILED, "Memory size:%ld is invalid.", all_memory_size.front());
GELOGE(FAILED, "[Check][MemRangeStep]first mem_range_step:%ld less than 0,invalid,"
"maybe has dynamic shape in graph", all_memory_size.front());
REPORT_INNER_ERROR("E19999", "first mem_range_step:%ld less than 0,invalid,"
"maybe has dynamic shape in graph", all_memory_size.front());
return FAILED;
}
// Memory size is 512 aligned, so it is not necessary to take less than 512
@@ -81,12 +84,18 @@ Status BinaryBlockMemAssigner::GetMemoryRanges(vector<int64_t> &range_ceils) {
GELOGD("Range number: %zu", range_number);

vector<vector<int64_t>> ranges(range_number);
GE_CHK_BOOL_EXEC((range_number != 0), return PARAM_INVALID, "range_number can't be 0.");
GE_CHK_BOOL_EXEC((range_number != 0),
REPORT_INNER_ERROR("E19999", "inner data[range_number] is 0, judge invalid");
return PARAM_INVALID,
"[Check][RangeNumber]inner data is 0, judge invalid.");
size_t range_number_limit = all_memory_size.size() / range_number;
int64_t range_ceil = min_memory_size;
for (size_t i = 1; i <= range_number; i++) {
GE_IF_BOOL_EXEC(TypeUtils::CheckUint64MulOverflow(static_cast<uint64_t>(range_ceil), kRangeCeilInterval),
GELOGE(FAILED, "Multiply result is out of range.");
GELOGE(FAILED, "[Check][MemRangeCeil]Multiply result is out of range,"
"range_ceil:%ld, interval:%u", range_ceil, kRangeCeilInterval);
REPORT_INNER_ERROR("E19999", "process mem_range_ceil,multiply result out of range,"
"range_ceil:%ld, interval:%u", range_ceil, kRangeCeilInterval);
return FAILED);
range_ceil *= kRangeCeilInterval; // The block size of each interval is doubled every time.
for (auto iter = all_memory_size.begin(); iter != all_memory_size.end();) {


+ 133
- 32
ge/graph/build/memory/block_mem_assigner.cc View File

@@ -30,6 +30,7 @@
#include "graph/utils/node_utils.h"
#include "graph/utils/op_desc_utils.h"
#include "graph/utils/tensor_utils.h"
#include "graph/utils/type_utils.h"

#include "graph/debug/ge_attr_define.h"

@@ -457,7 +458,16 @@ Status GetNoAlignSize(const ge::OpDesc &desc, uint32_t index, size_t &size) {
DataType data_type = output_op_desc->GetDataType();
graphStatus graph_status = TensorUtils::CalcTensorMemSize(shape, format, data_type, tensor_size);
if (graph_status != GRAPH_SUCCESS) {
GELOGE(graph_status, "CalcTensorMemSize failed!");
GELOGE(graph_status, "[Calculate][TensorSize]shape:%s, format:%s, data_type:%s, op:%s, out_index:%u",
shape.ToString().c_str(),
TypeUtils::FormatToSerialString(format).c_str(),
TypeUtils::DataTypeToSerialString(data_type).c_str(),
desc.GetName().c_str(), index);
REPORT_CALL_ERROR("E19999", "CalcTensorMemSize fail, shape:%s, format:%s, data_type:%s, op:%s, out_index:%u",
shape.ToString().c_str(),
TypeUtils::FormatToSerialString(format).c_str(),
TypeUtils::DataTypeToSerialString(data_type).c_str(),
desc.GetName().c_str(), index);
return FAILED;
}
size = static_cast<size_t>(tensor_size);
@@ -586,8 +596,13 @@ void BlockMemAssigner::GetOutAndWorkSpaceMem(vector<int64_t> &all_memory_size) {
GeTensorDesc output_desc = node_op_desc->GetOutputDesc(out_anchor->GetIdx());
int64_t size = 0;
GE_IF_BOOL_EXEC(ge::TensorUtils::GetSize(output_desc, size) != SUCCESS, GELOGI("Get size failed"));
GE_IF_BOOL_EXEC(size < 0, GELOGE(FAILED, "Node:%s size:%ld is invalid, maybe it is unknown shape node.",
node_op_desc->GetName().c_str(), size);
GE_IF_BOOL_EXEC(size < 0,
GELOGE(FAILED, "[Check][TensorSize]tensor_size:%ld is invalid, "
"maybe it is unknown shape node, Node_name:%s",
size, node_op_desc->GetName().c_str());
REPORT_INNER_ERROR("E19999", "tensor_size:%ld is invalid, "
"maybe it is unknown shape node, Node_name:%s",
size, node_op_desc->GetName().c_str());
return;);
batch_all_memory_size[batch_label].emplace_back(size);
if (batch_total_size.find(batch_label) == batch_total_size.end()) {
@@ -678,22 +693,34 @@ bool BlockMemAssigner::IsOutNodeSetContinuousInput(const NodePtr &n, uint32_t ou
if (static_cast<size_t>(out_index) < n->GetAllOutDataAnchors().size()) {
auto out_anchor = n->GetOutDataAnchor(out_index);
GE_IF_BOOL_EXEC(out_anchor == nullptr,
GELOGE(FAILED, "Node[%s] output[%u] anchor is null.", n->GetName().c_str(), out_index);
GELOGE(FAILED, "[Check][Anchor]Node[%s] output[%u] anchor is null.",
n->GetName().c_str(), out_index);
REPORT_INNER_ERROR("E19999", "output anchor is null, node_name: %s output_index: %u.",
n->GetName().c_str(), out_index);
return false;);
for (auto const &peer_in_anchor : out_anchor->GetPeerInDataAnchors()) {
GE_IF_BOOL_EXEC(peer_in_anchor == nullptr,
GELOGE(FAILED, "Node[%s] output[%u] peer_in_anchor 0 is null.", n->GetName().c_str(), out_index);
GELOGE(FAILED, "[Check][Anchor]Node[%s] output[%u] peer_in_anchor 0 is null.",
n->GetName().c_str(), out_index);
REPORT_INNER_ERROR("E19999", "output anchor peer is null, node_name: %s output_index: %u.",
n->GetName().c_str(), out_index);
return false;);
auto peer_node = peer_in_anchor->GetOwnerNode();
GE_IF_BOOL_EXEC(peer_node == nullptr,
GELOGE(FAILED, "Node[%s] output[%u] node is null.", n->GetName().c_str(), out_index);
GELOGE(FAILED, "[Check][Node]Node[%s] output[%u] peer node is null.",
n->GetName().c_str(), out_index);
REPORT_INNER_ERROR("E19999", "output anchor peer node is null, node_name: %s output_index: %u.",
n->GetName().c_str(), out_index);
return false;);

// Get the continuous input type of the node, default is false
bool is_input_continuous = false;
auto peer_in_node_desc = peer_node->GetOpDesc();
GE_IF_BOOL_EXEC(peer_in_node_desc == nullptr,
GELOGE(FAILED, "Node[%s] output[%u] nodedesc is null.", n->GetName().c_str(), out_index);
GELOGE(FAILED, "[Check][OpDesc]Node[%s] output[%u] nodedesc is null.",
n->GetName().c_str(), out_index);
REPORT_INNER_ERROR("E19999", "output anchor peer op_desc is null, node_name:%s output_index:%u.",
n->GetName().c_str(), out_index);
return false;);

// If GetBool fail, is_input_continuous is false.
@@ -793,7 +820,10 @@ bool BlockMemAssigner::IsContinuousMemoryReuse(const NodePtr &n, const NodePtr &
if ((in_anchor == nullptr) || (in_anchor->GetPeerOutAnchor() == nullptr) ||
(in_anchor->GetPeerOutAnchor()->GetOwnerNode() == nullptr) ||
(in_anchor->GetPeerOutAnchor()->GetOwnerNode()->GetOpDesc() == nullptr)) {
GELOGE(FAILED, "Node[%s] output[%u] peer input node desc is null.", n->GetName().c_str(), out_index);
GELOGE(FAILED, "[Check][OpDesc]Node[%s] output[%u] peer input node desc is null.",
n->GetName().c_str(), out_index);
REPORT_INNER_ERROR("E19999", "get output anchor peer op_desc fail, node_name: %s output_index: %u.",
n->GetName().c_str(), out_index);
return false;
}
auto peer_out_node_desc = in_anchor->GetPeerOutAnchor()->GetOwnerNode()->GetOpDesc();
@@ -1077,7 +1107,10 @@ MemoryBlock *BlockMemAssigner::ApplyMemory(size_t block_size, size_t real_size,
OpMemoryType mem_type, const NodePtr &n, uint32_t out_index,
const vector<bool> &workspace_reuse_flag, const bool is_op_reuse_mem,
const bool continuous, int64_t memory_type) {
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(n == nullptr, return nullptr, "Input parameter n is null.");
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
n == nullptr,
REPORT_INNER_ERROR("E19999", "Input parameter n(type:node_ptr) is null, apply memory failed");
return nullptr, "[Check][Param]Input parameter n(type:node_ptr) is null.");
auto node_op_desc = n->GetOpDesc();
GE_IF_BOOL_EXEC(node_op_desc == nullptr, return nullptr);
std::string batch_label;
@@ -1129,7 +1162,12 @@ MemoryBlock *BlockMemAssigner::ApplyMemory(size_t block_size, size_t real_size,
}

auto block = new (std::nothrow) MemoryBlock(block_size, node_op_desc->GetStreamId(), is_reuse_memory, memory_type);
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(block == nullptr, return nullptr, "new an object failed.");
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
block == nullptr,
REPORT_INNER_ERROR("E19999", "new a memoryblock object failed. node_name:%s out_index:%u",
n->GetName().c_str(), out_index);
return nullptr,
"[New][Object]new MemoryBlock failed, node_name:%s out_index:%u", n->GetName().c_str(), out_index);

// Data and netoutput need zero copy block
block->is_zero_copy_ = IsZeroCopyBlock(n, continuous);
@@ -1188,9 +1226,15 @@ void BlockMemAssigner::ContinuousOutRefCheck(bool &isAllOutputRef, bool &isOutpu

Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<int64_t> &ranges,
const bool is_op_reuse_mem) {
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(n == nullptr, return INTERNAL_ERROR, "input node is null.");
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
n == nullptr,
REPORT_INNER_ERROR("E19999", "Input parameter n(type:node_ptr) is null");
return INTERNAL_ERROR, "[check][param]Input parameter n(type:NodePtr) is null.");
auto node_op_desc = n->GetOpDesc();
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(node_op_desc == nullptr, return INTERNAL_ERROR, "node_op_desc is null.");
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
node_op_desc == nullptr,
REPORT_INNER_ERROR("E19999", "Input parameter n(type:OpDescPtr) is null");
return INTERNAL_ERROR, "[Check][Param]Input parameter n(type:OpDescPtr) is null");

// continuous output support ref only when all output ref input
bool isAllOutputRef = true;
@@ -1204,7 +1248,9 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in
}

if (!isAllOutputRef && isOutputHasRef) {
GELOGE(INTERNAL_ERROR, "continuous output node ref part input, not support this situation, node_name:%s",
REPORT_INNER_ERROR("E19999", "continuous output node ref part input, not support now. node_name:%s",
n->GetName().c_str());
GELOGE(INTERNAL_ERROR, "[Check][OutRefStatus]continuous output node ref part input, not support, node_name:%s",
n->GetName().c_str());
return INTERNAL_ERROR;
}
@@ -1215,7 +1261,9 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in
for (uint32_t index = 0; index < static_cast<uint32_t>(node_op_desc->GetOutputsSize()); index++) {
auto output_op_desc = node_op_desc->GetOutputDescPtr(index);
if (output_op_desc == nullptr) {
GELOGE(INTERNAL_ERROR, "Get output desc failed, node_name:%s, output_index:%u", n->GetName().c_str(), index);
REPORT_INNER_ERROR("E19999", "get output_desc failed, node_name:%s, output_index:%u",
n->GetName().c_str(), index);
GELOGE(INTERNAL_ERROR, "[Get][OutputDesc]node_name:%s, output_index:%u", n->GetName().c_str(), index);
return INTERNAL_ERROR;
}

@@ -1226,7 +1274,9 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in

int64_t size = 0;
if (ge::TensorUtils::GetSize(*output_op_desc, size) != SUCCESS) {
GELOGE(INTERNAL_ERROR, "Get size failed, node_name:%s, output_index:%u", n->GetName().c_str(), index);
REPORT_CALL_ERROR("E19999", "get tensor_size failed, node_name:%s, output_index:%u",
n->GetName().c_str(), index);
GELOGE(INTERNAL_ERROR, "[Get][TensorSize]node_name:%s, output_index:%u", n->GetName().c_str(), index);
return INTERNAL_ERROR;
}
size_t align_size = static_cast<size_t>(size);
@@ -1266,7 +1316,9 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in
block->last_continuous_block_ = true;
++(block->ref_count_);
} else {
GELOGE(INTERNAL_ERROR, "node apply continuous output memory failed. node_name:%s", n->GetName().c_str());
REPORT_CALL_ERROR("E19999", "apply continuousMemory failed, node_name:%s, total_size:%ld",
n->GetName().c_str(), total_size);
GELOGE(INTERNAL_ERROR, "[Apply][ContinuousMemory]node_name:%s, total_size:%ld", n->GetName().c_str(), total_size);
return INTERNAL_ERROR;
}
return SUCCESS;
@@ -1274,25 +1326,44 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in

MemoryBlock *BlockMemAssigner::ApplyOutMemory(const NodePtr &n, uint32_t index, const vector<int64_t> &ranges,
const bool is_op_reuse_mem, const bool continuous) {
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(n == nullptr, return nullptr, "input node is null.");
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
n == nullptr,
REPORT_INNER_ERROR("E19999", "Input parameter n(type:NodePtr) is null");
return nullptr, "[Check][Param]Input parameter n(type:NodePtr) is null");
auto node_op_desc = n->GetOpDesc();
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(node_op_desc == nullptr, return nullptr, "node_op_desc is null.");
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
node_op_desc == nullptr,
REPORT_INNER_ERROR("E19999", "Input parameter n(type:OpDescPtr) is null");
return nullptr, "[Check][Param]Input parameter n(type:OpDescPtr) is null");
MemoryBlock *block = nullptr;
NodeIndexIO node_index_io(n, index, kOut);
int64_t size = 0;
auto output_op_desc = node_op_desc->GetOutputDescPtr(index);
GE_IF_BOOL_EXEC(output_op_desc == nullptr, return nullptr);
GE_IF_BOOL_EXEC(
output_op_desc == nullptr,
REPORT_INNER_ERROR("E19999", "get output_desc failed, node_name:%s, output_index:%u",
n->GetName().c_str(), index);
GELOGE(FAILED, "[Get][OutputDesc]node_name:%s, output_index:%u", n->GetName().c_str(), index);
return nullptr);
GE_IF_BOOL_EXEC(ge::TensorUtils::GetSize(*output_op_desc, size) != SUCCESS, GELOGI("Get size failed"));
size_t no_align_size = 0;
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(GetNoAlignSize(*node_op_desc, index, no_align_size) != SUCCESS,
return nullptr, "Get no align size failed");
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
GetNoAlignSize(*node_op_desc, index, no_align_size) != SUCCESS,
REPORT_CALL_ERROR("E19999", "Get no align size failed, node_name:%s, output_index:%u",
n->GetName().c_str(), index);
return nullptr,
"[Get][TensorSize]Get no align size, node_name:%s, output_index:%u", n->GetName().c_str(), index);

std::string symbol;
bool reuse_input = false;
if (IsSymbolExist(node_index_io, symbol)) {
block = symbol_blocks_[symbol];
GE_IF_BOOL_EXEC(block == nullptr, GELOGE(FAILED, "Node %s ref block is nullptr.", node_op_desc->GetName().c_str());
return nullptr);
GE_IF_BOOL_EXEC(block == nullptr,
REPORT_INNER_ERROR("E19999", "get ref block failed, node_name:%s, symbol:%s",
node_op_desc->GetName().c_str(), node_index_io.ToString().c_str());
GELOGE(FAILED, "[Get][RefBlock]node_name:%s, symbol:%s",
node_op_desc->GetName().c_str(), node_index_io.ToString().c_str());
return nullptr);
// reduce old size
size_t align_size = block->Size();
AlignMemOffset(align_size);
@@ -1335,12 +1406,28 @@ MemoryBlock *BlockMemAssigner::ApplyOutMemory(const NodePtr &n, uint32_t index,
vector<bool> workspace_reuse_flag;
block = ApplyMemory(block_size, size, no_align_size, kOutput, n, index,
workspace_reuse_flag, is_op_reuse_mem, continuous, memory_type);
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(
block == nullptr,
REPORT_CALL_ERROR("E19999", "apply out Memory failed, node_name:%s, block_size:%ld, out_index:%u",
n->GetName().c_str(), block_size, index);
return nullptr,
"[Apply][Memory]node_name:%s, block_size:%ld, out_index:%u",
n->GetName().c_str(), block_size, index);
}
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(block == nullptr, return nullptr, "Block is nullptr.");
int out_count = 0;
GE_IF_BOOL_EXEC(index >= n->GetAllOutDataAnchors().size(), GELOGE(FAILED, "index is out of range."); return nullptr);
GE_IF_BOOL_EXEC(
index >= n->GetAllOutDataAnchors().size(),
REPORT_INNER_ERROR("E19999", "out index:%u exceed out_size:%lu, node_name:%s",
index, n->GetAllOutDataAnchors().size(), n->GetName().c_str());
GELOGE(FAILED, "[Check][OutIndex]index:%u exceed out_size:%lu, node_name:%s",
index, n->GetAllOutDataAnchors().size(), n->GetName().c_str());
return nullptr);
auto out_data_anchor = n->GetOutDataAnchor(index);
GE_IF_BOOL_EXEC(out_data_anchor == nullptr, GELOGE(FAILED, "Out data anchor is nullptr."); return nullptr);
GE_IF_BOOL_EXEC(
out_data_anchor == nullptr,
REPORT_INNER_ERROR("E19999", "out anchor is null, index:%u, node_name:%s", index, n->GetName().c_str());
GELOGE(FAILED, "[Check][OutAnchor]is null, index:%u, node_name:%s", index, n->GetName().c_str());
return nullptr);
for (const auto &in_anchor : out_data_anchor->GetPeerInDataAnchors()) {
auto owner_node = in_anchor->GetOwnerNode();
auto op_desc = owner_node->GetOpDesc();
@@ -1546,8 +1633,14 @@ Status BlockMemAssigner::AssignOutputMemoryWithReuse(const NodePtr &node, vector
GELOGD("Assign memory node[%s], output size[%zu], output memory type size[%zu]", op_desc->GetName().c_str(),
op_desc->GetOutputsSize(), memorys_type.size());
if (has_mem_type_attr && (memorys_type.size() != op_desc->GetOutputsSize())) {
GELOGE(INTERNAL_ERROR, "fusion: node[%s], output memory size err[outputsize:%zu, memorysize:%zu]",
op_desc->GetName().c_str(), op_desc->GetOutputsSize(), memorys_type.size());
REPORT_INNER_ERROR("E19999", "Attr[%s] size:%zu not equal to node output size:%zu, node_name:%s",
ATTR_NAME_OUTPUT_MEM_TYPE_LIST.c_str(), memorys_type.size(),
op_desc->GetOutputsSize(), op_desc->GetName().c_str());
GELOGE(
INTERNAL_ERROR,
"[Check][MemTypeAttr]Attr %s size:%zu not equal to node output size:%zu, node_name:%s",
ATTR_NAME_OUTPUT_MEM_TYPE_LIST.c_str(), memorys_type.size(),
op_desc->GetOutputsSize(), op_desc->GetName().c_str());
return INTERNAL_ERROR;
}

@@ -1673,8 +1766,12 @@ void BlockMemAssigner::AssignMemoryWithReuse(vector<int64_t> &ranges) {
temp.size(), tvm_workspace_memory_type.size());

if (has_tvm_workspace_mem_type_attr && (temp.size() != tvm_workspace_memory_type.size())) {
GELOGE(INTERNAL_ERROR, "fusion: node[%s], tvm workspace memory size error![v_temp:%zu, workspace:%zu]",
n->GetName().c_str(), temp.size(), tvm_workspace_memory_type.size());
REPORT_INNER_ERROR("E19999", "Attr[%s]size:%zu is not equal to workspace size:%zu, node_name:%s",
TVM_ATTR_NAME_WORKSPACE_TYPE.c_str(), tvm_workspace_memory_type.size(),
temp.size(), n->GetName().c_str());
GELOGE(INTERNAL_ERROR, "[Check][Attr]Attr %s size:%zu is not equal to workspace size:%zu, node_name:%s",
TVM_ATTR_NAME_WORKSPACE_TYPE.c_str(), tvm_workspace_memory_type.size(),
temp.size(), n->GetName().c_str());
return;
}
for (size_t i = 0; i < temp.size(); i++) {
@@ -2083,8 +2180,12 @@ bool BlockMemAssigner::GetWorkSpaceMemoryType(const NodePtr &node, size_t index,
bool has_workspace_mem_type_attr =
ge::AttrUtils::GetListInt(op_desc, TVM_ATTR_NAME_WORKSPACE_TYPE, workspace_memory_type);
if (has_workspace_mem_type_attr && (workspace_memory_type.size() <= index)) {
GELOGE(INTERNAL_ERROR, "node[%s], workspace_memory size error![index:%zu, workspace:%zu]",
node->GetName().c_str(), index, workspace_memory_type.size());
REPORT_INNER_ERROR("E19999", "get workspace mem_type failed, "
"index %zu invalid, bigger than attr %s size:%zu, node_name:%s",
index, TVM_ATTR_NAME_WORKSPACE_TYPE.c_str(),
workspace_memory_type.size(), node->GetName().c_str());
GELOGE(INTERNAL_ERROR, "[Get][WorkspaceMemType]index %zu invalid, bigger than attr %s size:%zu, node_name:%s",
index, TVM_ATTR_NAME_WORKSPACE_TYPE.c_str(), workspace_memory_type.size(), node->GetName().c_str());
return false;
}
memory_type = has_workspace_mem_type_attr ? workspace_memory_type[index] : RT_MEMORY_HBM;


+ 230
- 108
ge/graph/build/memory/graph_mem_assigner.cc View File

@@ -99,7 +99,8 @@ Status VariableMemoryAssigner::AssignMemory2HasRefAttrNode() {
Status GraphMemoryAssigner::AssignMemory() {
ge::HybridMemAssignerPtr mem_assigner(new(std::nothrow) HybridMemAssigner(compute_graph_));
if (mem_assigner->Assign() != ge::SUCCESS) {
GELOGE(ge::FAILED, "Memory assigner failed");
GELOGE(ge::FAILED, "[Assign][GraphMem]graph_id:%u, graph_name:%s",
compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return ge::FAILED;
}
MemoryOffset memory_offset(RT_MEMORY_HBM, mem_assigner->GetMemOffset());
@@ -115,7 +116,10 @@ Status GraphMemoryAssigner::AssignMemory() {
auto variable_assigner =
std::unique_ptr<ge::VariableMemoryAssigner>(new(std::nothrow) ge::VariableMemoryAssigner(compute_graph_));
if (variable_assigner == nullptr) {
GELOGE(ge::FAILED, "Alloc VariableMemoryAssigner failed.");
GELOGE(ge::FAILED, "[New][Object:VariableMemoryAssigner]graph_id:%u, graph_name:%s",
compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
REPORT_INNER_ERROR("E19999", "New Object:VariableMemoryAssigner failed when assign graph memory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return ge::FAILED;
}

@@ -134,7 +138,10 @@ ge::Status GraphMemoryAssigner::AssignVarAttr2Nodes() {
auto variable_assigner =
std::unique_ptr<ge::VariableMemoryAssigner>(new(std::nothrow) ge::VariableMemoryAssigner(compute_graph_));
if (variable_assigner == nullptr) {
GELOGE(ge::FAILED, "Alloc VariableMemoryAssigner failed.");
GELOGE(ge::FAILED, "[New][Object:VariableMemoryAssigner]graph_id:%u, graph_name:%s",
compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
REPORT_INNER_ERROR("E19999", "New Object:VariableMemoryAssigner failed when assign graph memory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return ge::FAILED;
}
if (variable_assigner->AssignVarAttr2Nodes() != ge::SUCCESS) {
@@ -147,8 +154,10 @@ ge::Status GraphMemoryAssigner::AssignMemory2HasRefAttrNode() {
auto variable_assigner =
std::unique_ptr<ge::VariableMemoryAssigner>(new(std::nothrow) ge::VariableMemoryAssigner(compute_graph_));
if (variable_assigner == nullptr) {
GELOGE(ge::FAILED, "Alloc VariableMemoryAssigner failed.");
return ge::FAILED;
GELOGE(ge::FAILED, "[New][Object:VariableMemoryAssigner]graph_id:%u, graph_name:%s",
compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
REPORT_INNER_ERROR("E19999", "New Object:VariableMemoryAssigner failed when assign graph memory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
}
if (variable_assigner->AssignMemory2HasRefAttrNode() != ge::SUCCESS) {
return ge::FAILED;
@@ -161,17 +170,18 @@ ge::Status CalculateTensorRealSizeAndOutSize(const ge::ConstGeTensorDescPtr &out
int64_t &batch_dim_num, int64_t &out_size) {
graphStatus graph_status = ge::TensorUtils::GetSize(*output_desc, out_size);
if (graph_status != GRAPH_SUCCESS) {
GELOGE(FAILED, "Opdesc GetSize failed!");
GELOGE(FAILED, "[Get][TensorSize]");
REPORT_INNER_ERROR("E19999", "New Object:VariableMemoryAssigner failed when assign graph memory");
return FAILED;
}

GeShape output_shape = output_desc->GetShape();
std::vector<int64_t> output_dims = output_shape.GetDims();
if (dim_index >= static_cast<int64_t>(output_dims.size())) {
std::string error = "Invaild value" + FmtToStr(dim_index) +
" of attr _reuse_input_on_dim_index, which is out of data range [0,"
+ std::to_string(output_dims.size()) + ")";
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "Inner param dim_index value:%ld invalid, bigger than dim size:%lu in shape:%s",
dim_index, output_dims.size(), output_shape.ToString().c_str());
GELOGE(FAILED, "[Check][Param:dim_index]value:%ld invalid, bigger than dim size:%lu in shape:%s",
dim_index, output_dims.size(), output_shape.ToString().c_str());
return FAILED;
}

@@ -187,14 +197,23 @@ ge::Status CalculateTensorRealSizeAndOutSize(const ge::ConstGeTensorDescPtr &out

graph_status = ge::TensorUtils::CalcTensorMemSize(output_shape, out_format, data_type, output_mem_size);
if (graph_status != GRAPH_SUCCESS) {
GELOGE(graph_status, "Opdesc CalcTensorMemSize failed!");
GELOGE(graph_status, "[Calc][TensorSize]");
return FAILED;
}

if (output_mem_size < 0) {
std::string error = "After calculating tensor memory size, output_mem_size" + FmtToStr(output_mem_size) +
" is out of data range [0," + std::to_string(INT64_MAX) + "]";
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "After calculating, tensor memory size:%ld invalid, less than 0. "
"shape:%s, format:%s, dtype:%s, maybe has dynamic shape",
output_mem_size,
output_shape.ToString().c_str(),
TypeUtils::FormatToSerialString(out_format).c_str(),
TypeUtils::DataTypeToSerialString(data_type).c_str());
GELOGE(FAILED, "[Check][TensorSize]value:%ld invalid after calc, less than 0. shape:%s, format:%s, dtype:%s, "
"maybe has dynamic shape",
output_mem_size,
output_shape.ToString().c_str(),
TypeUtils::FormatToSerialString(out_format).c_str(),
TypeUtils::DataTypeToSerialString(data_type).c_str());
return FAILED;
}

@@ -203,7 +222,10 @@ ge::Status CalculateTensorRealSizeAndOutSize(const ge::ConstGeTensorDescPtr &out

Status GraphMemoryAssigner::ReAssignMemory(bool is_loop_graph, map<int64_t, size_t> &mem_type_to_offset) {
if (memory_offset_.empty()) {
GELOGE(FAILED, "memory_offset_ is empty.");
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ empty, not expected when ReAssignMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData:memory_offset_]empty is not expected, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return ge::FAILED;
}

@@ -218,8 +240,10 @@ Status GraphMemoryAssigner::ReAssignMemory(bool is_loop_graph, map<int64_t, size

auto session_id = compute_graph_->GetSessionID();
if (total_mem_offset > VarManager::Instance(session_id)->GetGraphMemoryMaxSize()) {
GELOGE(ge::FAILED, "Current memoffset %zu is greater than memory manager malloc max size %zu", total_mem_offset,
VarManager::Instance(session_id)->GetGraphMemoryMaxSize());
GELOGE(ge::FAILED, "[Check][TotalMemOffset] %zu is greater than memory manager malloc max size %zu, "
"graph_id:%u, graph_name:%s, reduce your batchsize or scale your model may solve problem",
total_mem_offset, VarManager::Instance(session_id)->GetGraphMemoryMaxSize(),
compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
for (auto iter : mem_type_to_offset) {
ErrorManager::GetInstance().ATCReportErrMessage("E19022", {"memType", "size", "item", "maxsize"},
{std::to_string(iter.first), std::to_string(iter.second), "featuremap",
@@ -234,7 +258,13 @@ Status GraphMemoryAssigner::ReAssignMemory(bool is_loop_graph, map<int64_t, size

Status GraphMemoryAssigner::AssignZeroCopyMemory(map<int64_t, size_t> &mem_offset, size_t &zero_mem_copy_size) {
BlockMemAssignerPtr priority_assigner = std::move(mem_assigner_->GetPriorityAssinger());
GE_IF_BOOL_EXEC(priority_assigner == nullptr, GELOGE(FAILED, "Get priority_assigner failed."); return ge::FAILED;);
if (priority_assigner == nullptr) {
REPORT_INNER_ERROR("E19999", "InnerData priority_assigner nullptr, not expected when AssignZeroCopyMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData:priority_assigner]nullptr is invalid, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return ge::FAILED;
}

size_t mem_offset_tmp = mem_offset[RT_MEMORY_HBM];

@@ -254,8 +284,11 @@ Status GraphMemoryAssigner::AssignZeroCopyMemory(map<int64_t, size_t> &mem_offse
zero_mem_copy_size = mem_offset[RT_MEMORY_HBM] - mem_offset_tmp;
auto iter = memory_offset_.find(RT_MEMORY_HBM);
if (iter == memory_offset_.end()) {
std::string error = "Memory offset does not have memory type[HBM]";
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], "
"not expected when AssignZeroCopyMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return FAILED;
}
iter->second.mem_offset_ = mem_offset[RT_MEMORY_HBM];
@@ -304,7 +337,7 @@ uint32_t GetContinuousMemoryType(const OpDescPtr &op_desc) {
}

if (continuous_type != 0) {
GELOGI("Current node %s continuous type %d.", op_desc->GetName().c_str(), continuous_type);
GELOGI("Current node %s continuous type %d", op_desc->GetName().c_str(), continuous_type);
}
return continuous_type;
}
@@ -312,8 +345,9 @@ uint32_t GetContinuousMemoryType(const OpDescPtr &op_desc) {
Status GetMemorySize(const OpDescPtr &op_desc, const ge::ConstGeTensorDescPtr &output_desc, uint32_t continuous_type,
int64_t &tensor_size, int64_t &nopadding_size) {
if ((op_desc == nullptr) || (output_desc == nullptr)) {
GELOGE(FAILED, "Input para is nullptr.");
return FAILED;
REPORT_INNER_ERROR("E19999", "InnerData param op_desc or output_desc is nullptr, "
"not expected when GetMemorySize");
GELOGE(FAILED, "[Check][Param]op_desc or output_desc is nullptr");
}
tensor_size = 0;
nopadding_size = 0;
@@ -322,7 +356,10 @@ Status GetMemorySize(const OpDescPtr &op_desc, const ge::ConstGeTensorDescPtr &o
int64_t attr_dim_index;
bool get_attr_dim_flag = ge::AttrUtils::GetInt(op_desc, ATTR_NAME_REUSE_INPUT_ON_DIM_INDEX, attr_dim_index);
if (!get_attr_dim_flag) {
GELOGE(FAILED, "Get attr _reuse_input_on_dim_index failed.");
REPORT_INNER_ERROR("E19999", "Get Attr:%s failed when GetMemorySize, op_name:%s",
ATTR_NAME_REUSE_INPUT_ON_DIM_INDEX.c_str(), op_desc->GetName().c_str());
GELOGE(FAILED, "[Get][Attr:%s]fail for op_name:%s",
ATTR_NAME_REUSE_INPUT_ON_DIM_INDEX.c_str(), op_desc->GetName().c_str());
return FAILED;
}

@@ -330,17 +367,25 @@ Status GetMemorySize(const OpDescPtr &op_desc, const ge::ConstGeTensorDescPtr &o
int64_t batch_dim_num = 1;
if (CalculateTensorRealSizeAndOutSize(output_desc, attr_dim_index, nopadding_size, batch_dim_num, tensor_size) !=
SUCCESS) {
GELOGE(FAILED, "CalculateTensorRealSizeAndOutSize failed for node %s.", op_desc->GetName().c_str());
REPORT_CALL_ERROR("E19999", "CalculateTensorRealSizeAndOutSize failed, attr_dim_index:%ld, op_name:%s",
attr_dim_index, op_desc->GetName().c_str());
GELOGE(FAILED, "[Calculate][NopaddingSize]failed for node %s, attr_dim_index:%ld",
op_desc->GetName().c_str(), attr_dim_index);
return FAILED;
}
} else {
if (ge::TensorUtils::GetSize(*output_desc, tensor_size) != ge::SUCCESS) {
GELOGE(FAILED, "GetSize failed.");
REPORT_INNER_ERROR("E19999", "Get Tensor Size failed, op_name:%s", op_desc->GetName().c_str());
GELOGE(FAILED, "[Get][TensorSize]failed in padding case, op_name:%s", op_desc->GetName().c_str());
return FAILED;
}
}
if ((tensor_size < 0) || (nopadding_size < 0)) {
GELOGE(FAILED, "GetMemorySize for node %s failed.", op_desc->GetName().c_str());
REPORT_INNER_ERROR("E19999", "GetMemorySize fail, "
"tensor_size:%ld or nopadding_size:%ld less than 0, invalid, op_name:%s",
tensor_size, nopadding_size, op_desc->GetName().c_str());
GELOGE(FAILED, "[Get][MemorySize]tensor_size:%ld or nopadding_size:%ld less than 0, invalid, op_name:%s",
tensor_size, nopadding_size, op_desc->GetName().c_str());
return FAILED;
}
return SUCCESS;
@@ -374,7 +419,7 @@ bool IsContinuousInputConflict(const ge::NodePtr &node, const OpDescPtr &peer_op
// If GetBool fail, is_peer_reference is false.
(void) AttrUtils::GetBool(peer_op_desc, ATTR_NAME_REFERENCE, is_peer_reference);
GE_IF_BOOL_EXEC(is_peer_reference,
std::string warning = "Current op" + FmtToStr(node->GetOpDesc()->GetName()) +
std::string warning = "[Check][Continuous]Current op" + FmtToStr(node->GetOpDesc()->GetName()) +
" requires continuous input, while the previous op" + FmtToStr(peer_op_desc->GetName()) +
" is ref. There may be conflict between the two.";
GELOGW("%s", warning.c_str());
@@ -404,7 +449,7 @@ Status GraphMemoryAssigner::ReAssignContinuousMemory(bool is_loop_graph) {
if (continuous_input) {
if (AssignContinuousInputMemoryWithAtomicProcessDirectly(node, node_2_continuous_type)) {
GE_CHK_STATUS_RET(AssignContinuousInputMemoryWithAtomicProcess(node, continuous_type),
"Assign node %s continuous input memory failed.", node->GetName().c_str())
"[Assign][Memory:Continuous:Input]fail for node:%s", node->GetName().c_str())
} else {
nodes_stack.push_back(node);
}
@@ -413,10 +458,11 @@ Status GraphMemoryAssigner::ReAssignContinuousMemory(bool is_loop_graph) {
int64_t memory_type = RT_MEMORY_HBM;
bool continuous_output = ((continuous_type & kTypeOutput) != 0) || ((continuous_type & kTypeOutputNoPadding) != 0);
if (continuous_output) {
GE_CHK_STATUS_RET(GetNodeMemoryType(node, memory_type, "output"), "Get node memory type failed.");
GE_CHK_STATUS_RET(GetNodeMemoryType(node, memory_type, "output"),
"[Get][MemType]fail for node:%s", node->GetName().c_str());
ret = AssignContinuousOutputMemory(node, memory_type, continuous_type);
if (ret != ge::SUCCESS) {
GELOGE(ret, "Assign continuous output memory failed!");
GELOGE(ret, "[Assign][Memory:Continuous:Ouput]fail for node:%s", node->GetName().c_str());
return ret;
}
}
@@ -427,14 +473,16 @@ Status GraphMemoryAssigner::ReAssignContinuousMemory(bool is_loop_graph) {
nodes_stack.pop_back();
auto iter = node_2_continuous_type.find(node);
if (iter == node_2_continuous_type.end()) {
GELOGE(FAILED, "node %s has no continuous type!", node->GetName().c_str());
REPORT_INNER_ERROR("E19999", "Inner data error when process continuous memory alloc for node:%s, "
"but has no continuous type", node->GetName().c_str());
GELOGE(FAILED, "[Get][ContinuousType] find fail for node:%s", node->GetName().c_str());
return FAILED;
}
GE_CHK_STATUS_RET(AssignContinuousInputMemoryWithAtomicProcess(node, iter->second, true),
"Assign node %s continuous input memory failed.", node->GetName().c_str())
"[Assign][Memory:Continuous:Input]fail for node:%s.", node->GetName().c_str())
}
for (auto pair : memory_offset_) {
GELOGD("After reassign continuous memory, memory type = %ld, mem_offset = %zu.", pair.first,
GELOGD("After reassign continuous memory, memory type = %ld, mem offset = %zu.", pair.first,
pair.second.mem_offset_);
}
return ge::SUCCESS;
@@ -442,11 +490,13 @@ Status GraphMemoryAssigner::ReAssignContinuousMemory(bool is_loop_graph) {

Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node, int64_t &continuous_mem_start,
int64_t &continuous_mem_size, int64_t memory_type, uint32_t continuous_type, bool reverse_refresh) {
GELOGI("Current node %s needs continuous input.", node->GetName().c_str());
GELOGI("Current node %s needs continuous input", node->GetName().c_str());
auto iter = memory_offset_.find(memory_type);
if (iter == memory_offset_.end()) {
std::string error = "Memory offset does not have memory type" + FmtToStr(memory_type);
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "find memory offset fail for mem_type:%ld, "
"when assign continuous input memory for node:%s, ", memory_type, node->GetName().c_str());
GELOGE(FAILED, "[Find][MemOffset]fail for mem_type:%ld, when AssignContinuousInputMemory for node:%s",
memory_type, node->GetName().c_str());
return FAILED;
}
// The head and tail of hcom continuous input should be added 512
@@ -459,8 +509,9 @@ Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node,
GE_CHECK_NOTNULL(op_desc);
vector<int64_t> output_list_this = op_desc->GetOutputOffset();
if (output_list_this.empty()) {
std::string error = "node:" + FmtToStr(op_desc->GetName()) + "has no output offset";
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "No output offset in node :%s, not expected when assign continuous input memory",
node->GetName().c_str());
GELOGE(FAILED, "[Get][OutputOffset] empty is invalid, node:%s", node->GetName().c_str());
return FAILED;
}
(void) ge::AttrUtils::GetBool(op_desc, ATTR_NAME_CONTINUOUS_INPUT_ALLOC, is_continuous_input_allocated);
@@ -480,8 +531,9 @@ Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node,
lx_fusion = lx_fusion && !offsets_of_fusion.empty();
if (lx_fusion) {
if (peer_out_data_anchor->GetIdx() >= static_cast<int>(offsets_of_fusion.size())) {
std::string error = "fusion: peer node" + FmtToStr(peer_op_desc->GetName()) +
" index" + FmtToStr(peer_out_data_anchor->GetIdx()) + " is out of range.";
std::string error = "fusion: peer node:" + FmtToStr(peer_op_desc->GetName()) +
" anchor_index:" + FmtToStr(peer_out_data_anchor->GetIdx()) +
" is out of range:" + FmtToStr(offsets_of_fusion.size());
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
return FAILED;
}
@@ -497,7 +549,9 @@ Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node,
bool is_nopadding = ((continuous_type & kTypeInputNoPadding) != 0) || lx_fusion;
vector<int64_t> output_list = peer_op_desc->GetOutputOffset();
if (peer_out_data_anchor->GetIdx() >= static_cast<int>(output_list.size())) {
std::string error = "index" + FmtToStr(peer_out_data_anchor->GetIdx()) + " is out of range.";
std::string error = "peer node:" + FmtToStr(peer_op_desc->GetName()) +
" anchor_index:" + FmtToStr(peer_out_data_anchor->GetIdx()) +
" is out of range:" + FmtToStr(output_list.size());
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
return FAILED;
}
@@ -506,13 +560,13 @@ Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node,
bool is_allocated_first_input = is_continuous_input_allocated && (in_data_anchor->GetIdx() == 0);
if (is_allocated_first_input) {
std::map<int32_t, int32_t> out2ins;
GE_CHK_STATUS_RET(GetAllRef(node, out2ins), "Node: %s get all ref failed", node->GetName().c_str());
GE_CHK_STATUS_RET(GetAllRef(node, out2ins), "[Get][AllRef]fail for node: %s", node->GetName().c_str());
// output is beginning offset, set offset for input; only support this case now
if ((out2ins.size() == 1) && (out2ins.begin()->second == 0) && (reverse_refresh)) {
auto peer_output_offset = output_list.at(peer_out_data_anchor->GetIdx());
output_list.at(peer_out_data_anchor->GetIdx()) = output_list_this.at(out2ins.begin()->first);
peer_op_desc->SetOutputOffset(output_list);
GELOGI("Node %s out %d ref in %d input node %s, use output offset %ld update %ld.", node->GetName().c_str(),
GELOGI("Node %s out %d ref in %d input node %s, use output offset %ld update %ld", node->GetName().c_str(),
out2ins.begin()->first, out2ins.begin()->second, peer_op_desc->GetName().c_str(),
output_list_this.at(out2ins.begin()->first), peer_output_offset);
} else {
@@ -542,7 +596,7 @@ Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node,
}

GELOGI("[IMAS]Continuous input : Set %s name[%s] optype[%s] output[%d] offset to [%zu] stream_id[%ld] memtype[%ld] "
"size[%zu] realsize[%ld] nopadding size[%d].", node->GetOwnerComputeGraph()->GetName().c_str(),
"size[%zu] realsize[%ld] nopadding size[%d]", node->GetOwnerComputeGraph()->GetName().c_str(),
peer_op_desc->GetName().c_str(), node->GetType().c_str(), peer_out_data_anchor->GetIdx(),
output_list.at(peer_out_data_anchor->GetIdx()), peer_op_desc->GetStreamId(), memory_type,
is_continuous_input_allocated ? 0UL : align_size, real_size, is_nopadding);
@@ -563,17 +617,32 @@ Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node,
Status GetFirstInputPeerOutOutputOffset(const ge::NodePtr &node, int64_t &mem_offset) {
auto in_data_anchor_list = node->GetAllInDataAnchors();
if (in_data_anchor_list.empty()) {
GELOGE(FAILED, "Node %s's in data anchor is empty.", node->GetName().c_str());
REPORT_INNER_ERROR("E19999", "InAnchor list empty in node:%s, not expect when GetFirstInputPeerOutOutputOffset",
node->GetName().c_str());
GELOGE(FAILED, "[Get][InAnchor]empty is invalid, node:%s", node->GetName().c_str());
return FAILED;
}
auto peer_out_data_anchor = in_data_anchor_list.at(0)->GetPeerOutAnchor();
GE_IF_BOOL_EXEC(peer_out_data_anchor == nullptr, GELOGE(ge::FAILED, "peer_out_data_anchor is null.");
GE_IF_BOOL_EXEC(peer_out_data_anchor == nullptr,
REPORT_INNER_ERROR("E19999", "PeerAcnhor is null, "
"not expect when GetFirstInputPeerOutOutputOffset for node:%s",
node->GetName().c_str());
GELOGE(ge::FAILED, "[Check][PeerAnchor]null is invalid, node:%s", node->GetName().c_str());
return ge::FAILED);
auto peer_op_desc = peer_out_data_anchor->GetOwnerNode()->GetOpDesc();
GE_IF_BOOL_EXEC(peer_op_desc == nullptr, GELOGE(ge::FAILED, "peer_op_desc is null."); return ge::FAILED);
GE_IF_BOOL_EXEC(peer_op_desc == nullptr,
REPORT_INNER_ERROR("E19999", "PeerOpDesc is null, "
"not expect when GetFirstInputPeerOutOutputOffset for node:%s",
node->GetName().c_str());
GELOGE(ge::FAILED, "[Check][PeerOpDesc]null is invalid, node:%s", node->GetName().c_str());
return ge::FAILED);
vector<int64_t> in_node_output_offsets = peer_op_desc->GetOutputOffset();
if (peer_out_data_anchor->GetIdx() >= static_cast<int>(in_node_output_offsets.size())) {
GELOGE(FAILED, "Index : %d is out of range.", peer_out_data_anchor->GetIdx());
REPORT_INNER_ERROR("E19999", "PeerAnchorIndex:%d bigger than in_offset size:%lu, "
"judge invalid when GetFirstInputPeerOutOutputOffset for node:%s",
peer_out_data_anchor->GetIdx(), in_node_output_offsets.size(), node->GetName().c_str());
GELOGE(FAILED, "[Check][Index:PeerOutDataAnchor]PeerIndex:%d bigger than in_offset size:%lu, node:%s",
peer_out_data_anchor->GetIdx(), in_node_output_offsets.size(), node->GetName().c_str());
return FAILED;
}
mem_offset = in_node_output_offsets.at(peer_out_data_anchor->GetIdx());
@@ -584,11 +653,18 @@ Status GraphMemoryAssigner::AssignContinuousOutputMemory(const ge::NodePtr &node
uint32_t continuous_type) {
GELOGI("Current node %s needs continuous output.", node->GetName().c_str());
auto out_op_desc = node->GetOpDesc();
GE_IF_BOOL_EXEC(out_op_desc == nullptr, GELOGE(ge::FAILED, "out_op_desc is null."); return ge::FAILED);
GE_IF_BOOL_EXEC(out_op_desc == nullptr,
REPORT_INNER_ERROR("E19999", "OpDesc is null, "
"not expect when AssignContinuousOutputMemory for node:%s",
node->GetName().c_str());
GELOGE(ge::FAILED, "[Check][OpDesc]null is invalid, node:%s", node->GetName().c_str()));
vector<int64_t> output_list = out_op_desc->GetOutputOffset();
if ((out_op_desc->GetOutputsSize() > output_list.size()) || (output_list.size() == 0)) {
GELOGE(ge::FAILED, "The size %zu of node output desc is more than output_list's size %zu.",
out_op_desc->GetOutputsSize(), output_list.size());
REPORT_INNER_ERROR("E19999", "Output size:%zu more than output offset size:%zu, invalid in node:%s, "
"when AssignContinuousOutputMemory",
out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
GELOGE(ge::FAILED, "[Check][InnerData]Output size:%zu more than output offset size:%zu, invalid in node:%s",
out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
return ge::FAILED;
}

@@ -647,14 +723,18 @@ Status GraphMemoryAssigner::ReAssignAtomicMemory(bool is_loop_graph) {
map<string, vector<NodePtr>> connecting_output_atomic_nodes;
Status status = FilterAtomicNodesForMemoryAssign(normal_atomic_and_clean_nodes_map, connecting_output_atomic_nodes);
if (status != SUCCESS) {
GELOGE(status, "Failed to filter atomic nodes for memory assignment.");
GELOGE(status, "[Filter][AtomicNode]failed in graph_id:%u, graph_name:%s",
compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return status;
}

auto mem_iter = memory_offset_.find(RT_MEMORY_HBM);
if (mem_iter == memory_offset_.end()) {
std::string error = "Memory offset does not have memory type" + FmtToStr(RT_MEMORY_HBM);
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], "
"not expected when ReAssignAtomicMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return FAILED;
}

@@ -670,7 +750,7 @@ Status GraphMemoryAssigner::ReAssignAtomicMemory(bool is_loop_graph) {
vector<int64_t> mem_offset_end;
status = AssignAtomicOutputAndWorkspaceMemory(atomic_node, mem_offset_end);
if (status != SUCCESS) {
GELOGE(status, "Assign atomic output and workspace memory failed, node name is %s.",
GELOGE(status, "[Assign][Memory]output atomic mem and workspace mem, fail for node name is %s.",
atomic_node->GetName().c_str());
return status;
}
@@ -679,7 +759,7 @@ Status GraphMemoryAssigner::ReAssignAtomicMemory(bool is_loop_graph) {
int64_t atomic_mem_size = static_cast<int64_t>(mem_iter->second.mem_offset_) - atomic_mem_start;
if (atomic_mem_size != 0) {
GE_CHK_STATUS_RET(SetAtomicCleanAttr(iter.first, {atomic_mem_start}, {atomic_mem_size}, RT_MEMORY_HBM),
"Failed to set attr for atomic addr clean node %s.", iter.first->GetName().c_str());
"[Set][Attr]fail for atomic addr clean node %s.", iter.first->GetName().c_str());
}
}
batch_max_mem_offset = std::max(batch_max_mem_offset, static_cast<int64_t>(mem_iter->second.mem_offset_));
@@ -690,7 +770,8 @@ Status GraphMemoryAssigner::ReAssignAtomicMemory(bool is_loop_graph) {
for (auto &iter_batch : connecting_output_atomic_nodes) {
mem_iter->second.mem_offset_ = batch_atomic_mem_start;
if (AssignConnectNetOutputAtomicMemory(iter_batch.second) != SUCCESS) {
GELOGE(FAILED, "Failed to assign memory of nodes that connect to netoutput.");
GELOGE(FAILED, "[Assign][Memory]for nodes that connect to netoutput failed."
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return FAILED;
}
batch_max_mem_offset = std::max(batch_max_mem_offset, static_cast<int64_t>(mem_iter->second.mem_offset_));
@@ -721,9 +802,10 @@ Status GraphMemoryAssigner::FilterAtomicNodesForMemoryAssign(
// If GetBool fail, is_reference is false.
(void) ge::AttrUtils::GetBool(peer_in_node_desc, ATTR_NAME_REFERENCE, is_reference);
if (is_reference) {
std::string error = "Op" + FmtToStr(peer_in_node_desc->GetName()) +
" cannot have both atomic and is_reference attribute.";
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "Op:%s cannot have both atomic and is_reference attribute, "
"not support now", peer_in_node_desc->GetName().c_str());
GELOGE(FAILED, "[Check][Attr]Op:%s cannot have both atomic and is_reference attribute, "
"not support now", peer_in_node_desc->GetName().c_str());
return ge::PARAM_INVALID;
}

@@ -761,7 +843,7 @@ Status GraphMemoryAssigner::AssignAtomicOutputAndWorkspaceMemory(const ge::NodeP
// Assign atomic node output memory
Status ret = AssignAtomicOutputMemory(node, mem_offset_end);
if (ret != SUCCESS) {
GELOGE(ret, "Failed to assign atomic output memory, node is %s.", node_op_desc->GetName().c_str());
GELOGE(ret, "[Assign][Memory:Ouput:Atomic]Failed for node:%s.", node_op_desc->GetName().c_str());
return ret;
}

@@ -781,7 +863,7 @@ Status GraphMemoryAssigner::AssignAtomicOutputAndWorkspaceMemory(const ge::NodeP
ret = AssignOrdinaryAtomicWorkspaceMemory(node_op_desc, atomic_workspace_info, mem_offset_end);
}
if (ret != SUCCESS) {
GELOGE(ret, "Assign atomic workspace memory failed, node is %s.", node_op_desc->GetName().c_str());
GELOGE(ret, "[Assign][Memory:Atomic:Workspace]fail for node:%s.", node_op_desc->GetName().c_str());
return ret;
}
} else {
@@ -794,8 +876,11 @@ Status GraphMemoryAssigner::AssignAtomicOutputAndWorkspaceMemory(const ge::NodeP
Status GraphMemoryAssigner::AssignConnectNetOutputAtomicMemory(vector<NodePtr> &connect_netoutput_nodes) {
auto iter = memory_offset_.find(RT_MEMORY_HBM);
if (iter == memory_offset_.end()) {
std::string error = "Memory offset does not have memory type" + FmtToStr(RT_MEMORY_HBM);
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], "
"not expected when AssignConnectNetOutputAtomicMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return FAILED;
}
for (auto &node : connect_netoutput_nodes) {
@@ -811,13 +896,14 @@ Status GraphMemoryAssigner::AssignConnectNetOutputAtomicMemory(vector<NodePtr> &
node->GetName().c_str(), node->GetOpDesc()->GetType().c_str(), original_atomic_mem_start);
vector<int64_t> mem_offset_end;
if (AssignAtomicOutputAndWorkspaceMemory(node, mem_offset_end) != SUCCESS) {
GELOGE(FAILED, "Assign atomic output and workspace memory failed, node is %s.", node->GetName().c_str());
GELOGE(FAILED, "[Assign][Memory]output atomic mem and workspace mem, fail for node name is %s.",
node->GetName().c_str());
return FAILED;
}

// All atomic nodes use atomic_addr_clean op independently, so we need to set the attr separately.
if (SetIndependentAtomicAttr(node, original_atomic_mem_start, mem_offset_end, RT_MEMORY_HBM) != SUCCESS) {
GELOGE(FAILED, "Failed to set atomic attr separately.");
GELOGE(FAILED, "[Set][Attr:IndependentAtomic]fail for node:%s", node->GetName().c_str());
return FAILED;
}
}
@@ -842,8 +928,11 @@ Status GraphMemoryAssigner::AssignReferenceMemory() {
vector<int64_t> output_list = out_op_desc->GetOutputOffset();

if (out_op_desc->GetOutputsSize() > output_list.size()) {
GELOGE(ge::FAILED, "The size %zu of node output desc is more than output_list's size %zu.",
out_op_desc->GetOutputsSize(), output_list.size());
REPORT_INNER_ERROR("E19999", "Output size:%zu more than output offset size:%zu, judge invalid in node:%s "
"when AssignReferenceMemory",
out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
GELOGE(ge::FAILED, "[Check][InnerData]Output size:%zu more than output offset size:%zu, invalid in node:%s",
out_op_desc->GetOutputsSize(), output_list.size(), node->GetName().c_str());
return ge::FAILED;
}

@@ -896,9 +985,12 @@ bool GraphMemoryAssigner::CheckInputIsSupportAtomic(const ge::NodePtr &node) {
}
if ((peer_op_desc->GetType() == CONSTANTOP) || (peer_op_desc->GetType() == AIPP_DATA_TYPE) ||
(peer_op_desc->GetType() == VARIABLE)) {
std::string error = "Op" + FmtToStr(node->GetName()) + "'s peer out node" +
FmtToStr(peer_op_desc->GetName()) + " is invalid, Constant/AippData/Variable is not supported";
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "node(type:%s, name:%s) link to atomic node(name:%s), "
"this situation not supported now",
peer_op_desc->GetType().c_str(), peer_op_desc->GetName().c_str(), node->GetName().c_str());
GELOGE(ge::FAILED, "[Check][Link]node(type:%s, name:%s) link to atomic node(name:%s), "
"this situation not supported now",
peer_op_desc->GetType().c_str(), peer_op_desc->GetName().c_str(), node->GetName().c_str());
return false;
}
}
@@ -918,22 +1010,27 @@ Status GraphMemoryAssigner::AssignAtomicOutputMemory(const ge::NodePtr &node, ve
// Check atomic output
vector<int64_t> output_list = op_desc->GetOutputOffset();
if (atomic_output_index.size() > output_list.size()) {
std::string error = "Op" + FmtToStr(node->GetName()) +
"'s size of atomic_output_index is more than the size of output_list";
std::string error =
"Op:" + FmtToStr(node->GetName()) + "'s size:" + FmtToStr(atomic_output_index.size()) +
" of atomic_output_index is more than the size:" + FmtToStr(output_list.size()) + " of output_list";
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
return ge::FAILED;
}
auto output_list_size = static_cast<int64_t>(output_list.size());
auto iter = memory_offset_.find(RT_MEMORY_HBM);
if (iter == memory_offset_.end()) {
std::string error = "Memory offset does not have memory type" + FmtToStr(RT_MEMORY_HBM);
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], "
"not expected when AssignAtomicOutputMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return FAILED;
}
for (auto &output_index : atomic_output_index) {
if (output_index >= output_list_size) {
std::string error = "Op" + FmtToStr(node->GetName()) + "'s output index" + FmtToStr(output_index) +
" is more than the size" + FmtToStr(output_list_size) + " of output_list.";
std::string error =
"Op:" + FmtToStr(node->GetName()) + "'s atomic_output index:" + FmtToStr(output_index) +
" is more than the size:" + FmtToStr(output_list_size) + " of output_list.";
GE_ERRORLOG_AND_ERRORMSG(ge::PARAM_INVALID, error.c_str());
return ge::PARAM_INVALID;
}
@@ -941,7 +1038,8 @@ Status GraphMemoryAssigner::AssignAtomicOutputMemory(const ge::NodePtr &node, ve
// If the input of the cascade op needs to clear the atomic addr, there is no need to clear it separately here
bool is_assigned_mem = false;
if (GetMemoryAssignmentStatus(node, output_index, is_assigned_mem) != SUCCESS) {
GELOGE(ge::FAILED, "Failed to get memory assignment of node %s.", node->GetName().c_str());
GELOGE(ge::FAILED, "[Get][MemoryAssignmentStatus]fail for node %s, out_index:%ld",
node->GetName().c_str(), output_index);
return ge::FAILED;
}

@@ -981,8 +1079,9 @@ Status GraphMemoryAssigner::AssignAtomicOutputMemory(const ge::NodePtr &node, ve
Status GraphMemoryAssigner::GetMemoryAssignmentStatus(const ge::NodePtr &node, int64_t output_index,
bool &is_mem_assigned) {
if (static_cast<size_t>(output_index) >= node->GetAllOutDataAnchors().size()) {
std::string error = "Op" + FmtToStr(node->GetName()) + "'s output index" + FmtToStr(output_index) +
" is more than the size of node's AllOutDataAnchors.";
std::string error =
"Op:" + FmtToStr(node->GetName()) + "'s output index:" + FmtToStr(output_index) +
" is more than the size:" + FmtToStr(node->GetAllOutDataAnchors().size()) + " of node's AllOutDataAnchors.";
GE_ERRORLOG_AND_ERRORMSG(ge::PARAM_INVALID, error.c_str());
return ge::PARAM_INVALID;
}
@@ -1010,8 +1109,11 @@ Status GraphMemoryAssigner::AssignOrdinaryAtomicWorkspaceMemory(const ge::OpDesc
GELOGI("Begin to reassign normal atomic memory, node = %s.", op_desc->GetName().c_str());
auto mem_type_iter = memory_offset_.find(RT_MEMORY_HBM);
if (mem_type_iter == memory_offset_.end()) {
std::string error = "Memory offset does not have memory type" + FmtToStr(RT_MEMORY_HBM);
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], "
"not expected when AssignOrdinaryAtomicWorkspaceMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return FAILED;
}
vector<int64_t> workspace_vector = op_desc->GetWorkspace();
@@ -1032,8 +1134,9 @@ Status GraphMemoryAssigner::AssignOrdinaryAtomicWorkspaceMemory(const ge::OpDesc
auto workspace_index = static_cast<uint64_t>(info_iter.first);
auto workspace_size = info_iter.second;
if (workspace_index >= workspace_vector.size()) {
std::string error = "The workspace index" + FmtToStr(workspace_index) +
" is more than the size" + FmtToStr(workspace_vector.size()) + " of workspace vector.";
std::string error = "The workspace index:" + FmtToStr(workspace_index) +
" is more than the size:" + FmtToStr(workspace_vector.size()) + " of workspace vector in op:" +
op_desc->GetName().c_str();
GE_ERRORLOG_AND_ERRORMSG(ge::PARAM_INVALID, error.c_str());
return ge::PARAM_INVALID;
}
@@ -1063,8 +1166,11 @@ Status GraphMemoryAssigner::AssignFusionAtomicWorkspaceMemory(const ge::OpDescPt
GELOGI("Begin to reassign fusion atomic memory, node = %s.", op_desc->GetName().c_str());
auto mem_type_iter = memory_offset_.find(RT_MEMORY_HBM);
if (mem_type_iter == memory_offset_.end()) {
std::string error = "Memory offset does not have memory type" + FmtToStr(RT_MEMORY_HBM);
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ does not have type[HBM], "
"not expected when AssignFusionAtomicWorkspaceMemory, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData]memory_offset_ does not have memory type[HBM]"
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
return FAILED;
}
map<string, map<int64_t, int64_t>> sub_node_workspace_offset;
@@ -1095,7 +1201,10 @@ Status GraphMemoryAssigner::AssignFusionAtomicWorkspaceMemory(const ge::OpDescPt
sub_node_workspace_offset.insert(std::make_pair(iter.first, index_offset));
}
if (!(op_desc->SetExtAttr(EXT_ATTR_ATOMIC_WORKSPACE_OFFSET, sub_node_workspace_offset))) {
GELOGE(FAILED, "Set EXT_ATTR_ATOMIC_WORKSPACE_OFFSET failed, op name:%s.", op_desc->GetName().c_str());
REPORT_INNER_ERROR("E19999", "Set Attr:%s fail for node:%s when AssignFusionAtomicWorkspaceMemory",
EXT_ATTR_ATOMIC_WORKSPACE_OFFSET.c_str(), op_desc->GetName().c_str());
GELOGE(FAILED, "[Set][Attr:%s]fail for node:%s.",
EXT_ATTR_ATOMIC_WORKSPACE_OFFSET.c_str(), op_desc->GetName().c_str());
return FAILED;
}

@@ -1106,7 +1215,7 @@ Status GraphMemoryAssigner::CheckOffset() {
std::map<std::string, std::string> anchor_to_symbol;
std::map<std::string, std::list<NodeIndexIO>> symbol_to_anchors;
if (GraphUtils::GetRefMapping(compute_graph_, symbol_to_anchors, anchor_to_symbol) != GRAPH_SUCCESS) {
GELOGE(FAILED, "Get ref-mapping for graph %s failed.", compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Get][RefMapping]fail for graph %s", compute_graph_->GetName().c_str());
return FAILED;
}
for (const ge::NodePtr &node : compute_graph_->GetAllNodes()) {
@@ -1148,7 +1257,6 @@ Status GraphMemoryAssigner::CheckOffset() {
std::string error = "Invalid workspace" + FmtToStr(ge::kInvalidOffset) +
+ " in node" + FmtToStr(node->GetName());
GE_ERRORLOG_AND_ERRORMSG(FAILED, error.c_str());
GELOGE(FAILED, "Invalid workspace in node: %s workspace: %ld.", node->GetName().c_str(), ge::kInvalidOffset);
return FAILED;
}
}
@@ -1158,8 +1266,10 @@ Status GraphMemoryAssigner::CheckOffset() {

ge::Status GraphMemoryAssigner::SetInputOffset() {
if (memory_offset_.empty()) {
GELOGE(FAILED, "memory_offset_ is empty.");
return FAILED;
REPORT_INNER_ERROR("E19999", "InnerData memory_offset_ empty, not expected when SetInputOffset, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
GELOGE(FAILED, "[Check][InnerData:memory_offset_]empty is not expected, "
"graph_id:%u, graph_name:%s", compute_graph_->GetGraphID(), compute_graph_->GetName().c_str());
}
for (auto pair : memory_offset_) {
GEEVENT("[IMAS]AfterAssignMemory : %s memoffset[%zu], memtype[%ld]", compute_graph_->GetName().c_str(),
@@ -1168,7 +1278,7 @@ ge::Status GraphMemoryAssigner::SetInputOffset() {

for (const ge::NodePtr &node : compute_graph_->GetAllNodes()) {
if (UpdateOpInputOffset(node) != ge::SUCCESS) {
GELOGE(ge::FAILED, "Update op input offset failed");
GELOGE(ge::FAILED, "[Update][Offset:Input]fail for op:%s", node->GetName().c_str());
return ge::FAILED;
}
}
@@ -1316,12 +1426,12 @@ ge::Status GraphMemoryAssigner::UpdateOpInputOffset(const NodePtr &node) const {
}
} else if (node->GetType() == DATA_TYPE) {
if (UpdateConstArgsOffset(node, input_list) != SUCCESS) {
GELOGE(FAILED, "Update data: %s args offset failed.", node->GetName().c_str());
GELOGE(FAILED, "[Update][Offset:Input:Const]fail for node:%s ", node->GetName().c_str());
return FAILED;
}
} else {
if (UpdateOpInputOffset(node, input_list) != SUCCESS) {
GELOGE(FAILED, "Update node: %s input offset failed.", node->GetName().c_str());
GELOGE(FAILED, "[Update][Offset:Input]fail for node:%s", node->GetName().c_str());
return FAILED;
}
}
@@ -1361,7 +1471,7 @@ Status GraphMemoryAssigner::SetIndependentAtomicAttr(const ge::NodePtr &node, in
peer_out_node_desc->GetName().c_str(), peer_out_node_desc->GetType().c_str());
if (peer_out_node_desc->GetType() == ATOMICADDRCLEAN) {
if (SetAtomicCleanAttr(peer_out_node, memory_offset_start, memory_offset_size, memory_type) != SUCCESS) {
GELOGE(FAILED, "Set atomic clean attr failed.");
GELOGE(FAILED, "[Set][AtomicCleanAttr]fail for node:%s", peer_out_node->GetName().c_str());
return FAILED;
}
}
@@ -1387,7 +1497,10 @@ ge::Status GraphMemoryAssigner::SetAtomicCleanAttr(const NodePtr &node, const ve
(void) ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector);
mem_start_vector.insert(mem_start_vector.end(), atomic_mem_start.begin(), atomic_mem_start.end());
GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_START, mem_start_vector),
GELOGE(FAILED, "SetListInt failed.");
REPORT_INNER_ERROR("E19999", "Set Attr:%s failed when SetAtomicCleanAttr, op_name:%s",
ATTR_NAME_AUTOMIC_ADD_START.c_str(), node_op_desc->GetName().c_str());
GELOGE(FAILED, "[Set][Attr:%s]fail for op_name:%s",
ATTR_NAME_AUTOMIC_ADD_START.c_str(), node_op_desc->GetName().c_str());
return FAILED);

std::vector<int64_t> mem_size_vector;
@@ -1395,7 +1508,10 @@ ge::Status GraphMemoryAssigner::SetAtomicCleanAttr(const NodePtr &node, const ve
(void) ge::AttrUtils::GetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector);
mem_size_vector.insert(mem_size_vector.end(), atomic_mem_size.begin(), atomic_mem_size.end());
GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(node_op_desc, ATTR_NAME_AUTOMIC_ADD_MEM_SIZE, mem_size_vector),
GELOGE(FAILED, "SetListInt failed.");
REPORT_INNER_ERROR("E19999", "Set Attr:%s failed when SetAtomicCleanAttr, op_name:%s",
ATTR_NAME_AUTOMIC_ADD_MEM_SIZE.c_str(), node_op_desc->GetName().c_str());
GELOGE(FAILED, "[Set][Attr:%s]fail for op_name:%s",
ATTR_NAME_AUTOMIC_ADD_MEM_SIZE.c_str(), node_op_desc->GetName().c_str());
return FAILED);

std::stringstream ss;
@@ -1437,12 +1553,14 @@ ge::Status GraphMemoryAssigner::GetNodeListMemoryType(const vector<NodePtr> &nod
// In the dynamic batch scenario, the memory attributes of nodes are the same.
for (auto &n : nodes) {
if (mem_reuse_model == kVirtualInputNodeMemoryReuse) {
GE_CHK_STATUS_RET(GetNodeMemoryType(n, memory_type, "input"), "Get node memory type failed.")
GE_CHK_STATUS_RET(GetNodeMemoryType(n, memory_type, "input"),
"[Get][MemType:input]fail for node:%s", n->GetName().c_str())
break;
}

if (mem_reuse_model == kVirtualOutputNodeMemoryReuse) {
GE_CHK_STATUS_RET(GetNodeMemoryType(n, memory_type, "output"), "Get node memory type failed.");
GE_CHK_STATUS_RET(GetNodeMemoryType(n, memory_type, "output"),
"[Get][MemType:output]fail for node:%s", n->GetName().c_str())
break;
}
}
@@ -1478,7 +1596,7 @@ ge::Status GraphMemoryAssigner::GetNodeMemoryType(const NodePtr &node, int64_t &
}

if (!CheckContinuousMemType(mem_type_list)) {
GELOGE(FAILED, "Check continuous memory type failed.");
GELOGE(FAILED, "[Check][MemType:Continuous]fail for node:%s", node->GetName().c_str());
return FAILED;
}
// It is continuous memory and memory type is the same, so use the first memory.
@@ -1526,7 +1644,11 @@ ge::Status GraphMemoryAssigner::GetAllRef(const NodePtr &node, map<int32_t, int3
if (node->GetInDataAnchor(reuse_in_index) != nullptr) {
out2ins.emplace(out_data_anchor->GetIdx(), reuse_in_index);
} else {
GELOGE(FAILED, "Invalid reuse_input value %d on output %d of node %s, please check attr reuse_input",
REPORT_INNER_ERROR("E19999", "Invalid reuse_input value %d on output %d of node %s, "
"please check attr reuse_input",
reuse_in_index, out_data_anchor->GetIdx(), node->GetName().c_str());
GELOGE(FAILED, "[Check][Attr]Invalid reuse_input value %d on output %d of node %s, "
"please check attr reuse_input",
reuse_in_index, out_data_anchor->GetIdx(), node->GetName().c_str());
return FAILED;
}
@@ -1549,7 +1671,7 @@ bool GraphMemoryAssigner::AssignContinuousInputMemoryWithAtomicProcessDirectly(
auto continuous_type = iter->second;
bool continuous_input = ((continuous_type & kTypeInput) != 0) || ((continuous_type & kTypeInputNoPadding) != 0);
if (continuous_input) {
GELOGI("Node %s 's precursor node %s need assign continuous input memory, store node firstly.",
GELOGI("Node %s 's precursor node %s need assign continuous input memory, store node firstly",
input_continuous_node->GetName().c_str(), in_node->GetName().c_str());
return false;
}
@@ -1559,7 +1681,7 @@ bool GraphMemoryAssigner::AssignContinuousInputMemoryWithAtomicProcessDirectly(
node_2_continuous_type.emplace(out_node, continuous_type);
bool continuous_input = ((continuous_type & kTypeInput) != 0) || ((continuous_type & kTypeInputNoPadding) != 0);
if (continuous_input) {
GELOGI("Node %s 's succeed node %s need assign continuous input memory, store node firstly.",
GELOGI("Node %s 's succeed node %s need assign continuous input memory, store node firstly",
input_continuous_node->GetName().c_str(), out_node->GetName().c_str());
return false;
}
@@ -1575,11 +1697,12 @@ ge::Status GraphMemoryAssigner::AssignContinuousInputMemoryWithAtomicProcess(con
int64_t mem_clean_size = 0;
int64_t memory_type = RT_MEMORY_HBM;

GE_CHK_STATUS_RET(GetNodeMemoryType(input_continuous_node, memory_type, "input"), "Get node memory type failed.");
GE_CHK_STATUS_RET(GetNodeMemoryType(input_continuous_node, memory_type, "input"),
"[Get][MemType]fail for node:%s", input_continuous_node->GetName().c_str());
auto ret = AssignContinuousInputMemory(input_continuous_node, mem_clean_start, mem_clean_size, memory_type,
continuous_type, reverse_refresh);
if (ret != ge::SUCCESS) {
GELOGE(ret, "Assign continuous input memory failed!");
GELOGE(ret, "[Assign][Memory:Input:continuous]fail for node:%s", input_continuous_node->GetName().c_str());
return ret;
}

@@ -1590,7 +1713,6 @@ ge::Status GraphMemoryAssigner::AssignContinuousInputMemoryWithAtomicProcess(con
if (!input_indexes.empty() && input_indexes[0] == kAllInputAddrIsAtomic) {
// check whether there is an atomic conflict between the current node and the peer out node
if (!CheckInputIsSupportAtomic(input_continuous_node)) {
GELOGE(ge::FAILED, "There is an atomic conflict between the current node and the peer out node, not supported!");
return ge::FAILED;
}

@@ -1602,7 +1724,7 @@ ge::Status GraphMemoryAssigner::AssignContinuousInputMemoryWithAtomicProcess(con
if (peer_out_node->GetType() == ATOMICADDRCLEAN) {
ret = SetAtomicCleanAttr(peer_out_node, {mem_clean_start}, {mem_clean_size}, memory_type);
if (ret != SUCCESS) {
GELOGE(ret, "Failed to set attr for atomic addr clean node %s.", peer_out_node->GetName().c_str());
GELOGE(ret, "[Set][AtomicCleanAttr]fail for node:%s", peer_out_node->GetName().c_str());
return ret;
}
}


+ 46
- 0
ge/graph/build/model_builder.cc View File

@@ -574,6 +574,50 @@ Status ModelBuilder::MergeWeights() {
return SUCCESS;
}

Status ModelBuilder::SaveAtomicTBEKernel(const OpDescPtr &op_desc) {
ge::NodePtr atomic_clean_node = nullptr;
atomic_clean_node = op_desc->TryGetExtAttr("atomic_clean_node_ptr", atomic_clean_node);
if (atomic_clean_node == nullptr) {
return SUCCESS;
}

ge::OpDescPtr atomic_op_desc = atomic_clean_node->GetOpDesc();
GE_CHECK_NOTNULL(atomic_op_desc);
TBEKernelPtr tbe_kernel = atomic_op_desc->TryGetExtAttr(ge::OP_EXTATTR_NAME_TBE_KERNEL, TBEKernelPtr());
if (tbe_kernel == nullptr) {
std::string kernel_name;
GeAttrValue::BYTES kernel_buffer;
(void) AttrUtils::GetStr(atomic_op_desc, ATTR_NAME_TBE_KERNEL_NAME, kernel_name);
(void) AttrUtils::GetBytes(atomic_op_desc, ATTR_NAME_TBE_KERNEL_BUFFER, kernel_buffer);
if (!kernel_name.empty() && (kernel_buffer.GetSize() > 0)) {
GE_CHECK_NOTNULL(kernel_buffer.GetData());
std::vector<char> data(kernel_buffer.GetData(), kernel_buffer.GetData() + kernel_buffer.GetSize());
tbe_kernel = MakeShared<OpKernelBin>(kernel_name, std::move(data));
GE_CHECK_NOTNULL(tbe_kernel);
}
}
if (tbe_kernel == nullptr) {
GELOGD("Atomic_clean_node doesn't have tbe_kernel.");
return SUCCESS;
}
tbe_kernel_store_.AddTBEKernel(tbe_kernel);
GELOGD("Atomic_clean_node tbe_kernel_name %s!", tbe_kernel->GetName().c_str());
(void) AttrUtils::SetStr(op_desc, ATOMIC_ATTR_TBE_KERNEL_NAME, tbe_kernel->GetName());

std::string kernel_name;
(void) AttrUtils::GetStr(atomic_op_desc, atomic_op_desc->GetName() + "_kernelname", kernel_name);
(void) AttrUtils::SetStr(op_desc, op_desc->GetName() + "_atomic_kernelname", kernel_name);

std::string meta_data;
(void) AttrUtils::GetStr(atomic_op_desc, TVM_ATTR_NAME_METADATA, meta_data);
(void) AttrUtils::SetStr(op_desc, ATOMIC_ATTR_TVM_METADATA, meta_data);

std::string json_string;
(void) AttrUtils::GetStr(atomic_op_desc, TVM_ATTR_NAME_MAGIC, json_string);
(void) AttrUtils::SetStr(op_desc, ATOMIC_ATTR_TVM_MAGIC, json_string);
return SUCCESS;
}

Status ModelBuilder::SaveDataToModel(ge::Model &model, ge::GeModel &ge_model) {
// Add weight
ge_model.SetWeight(weight_buffer_);
@@ -607,6 +651,8 @@ Status ModelBuilder::SaveDataToModel(ge::Model &model, ge::GeModel &ge_model) {
}
tbe_name_set.insert(tbe_kernel->GetName());
tbe_kernel_store_.AddTBEKernel(tbe_kernel);

GE_CHK_STATUS_RET(SaveAtomicTBEKernel(node_op_desc), "[Save][TBEKernel] save atomic tbekernel failed!");
}

SetModelCheckAicpuAttr(model, aicpu_op_types, aicpu_tf_op_types);


+ 2
- 0
ge/graph/build/model_builder.h View File

@@ -89,6 +89,8 @@ class ModelBuilder {
void SetModelCheckAicpuAttr(ge::Model &model, std::set<std::string> &aicpu_op_types,
std::set<std::string> &aicpu_tf_op_types);

Status SaveAtomicTBEKernel(const OpDescPtr &op_desc);

uint64_t session_id_;

map<int64_t, size_t> mem_type_to_mem_offset_;


+ 6
- 2
ge/graph/build/task_generator.cc View File

@@ -49,6 +49,7 @@ const char *const kIsLastNode = "is_last_node";
const char *const kIsInputVar = "INPUT_IS_VAR";
const char *const kIsOutputVar = "OUTPUT_IS_VAR";
const char *const kProfilingMode = "PROFILING_MODE";
const char *const kIteratorV2 = "IteratorV2";
const uint32_t kProfilingArStep = 2;
const uint64_t kProfilingFpStartLogid = 1;
const uint64_t kProfilingBpEndLogid = 2;
@@ -57,6 +58,7 @@ const uint64_t kProfilingArEndLogid = 4;
const uint64_t kProfilingIterEndLogid = 65535;
const int64_t kHashFactor = 100000;
const int64_t kInvalidGroupId = -1;
const std::set<std::string> kFpNodeTypes = {ge::DATA, ge::GETNEXT, kIteratorV2};
} // namespace
namespace ge {
TaskGenerator::TaskGenerator(uint8_t *var_mem_base, uint64_t var_mem_size) {
@@ -621,8 +623,10 @@ Status TaskGenerator::AutoFindFpOpIndex(const ComputeGraphPtr &graph, ProfilingP
if (op_kernel_lib_name.empty()) {
continue;
}

if (op_desc->GetType() == GETNEXT || op_desc->GetType() == DATA) {
auto type = op_desc->GetType();
std::string original_type;
(void)AttrUtils::GetStr(op_desc, ATTR_NAME_FRAMEWORK_ORIGINAL_TYPE, original_type);
if (kFpNodeTypes.find(type) != kFpNodeTypes.end() || kFpNodeTypes.find(original_type) != kFpNodeTypes.end()) {
auto out_anchor = node->GetOutDataAnchor(0);
for (auto &peer_in_anchor : out_anchor->GetPeerInDataAnchors()) {
GE_CHECK_NOTNULL(peer_in_anchor);


+ 77
- 3
ge/graph/execute/graph_execute.cc View File

@@ -20,9 +20,12 @@
#include <string>

#include "graph/load/model_manager/model_manager.h"
#include "graph/load/model_manager/davinci_model.h"
#include "omm/csa_interact.h"

namespace ge {
using Uint32Pair = pair<uint32_t, uint32_t>;
const uint32_t kInvalidModelId = UINT32_MAX;
GraphExecutor::GraphExecutor()
: init_flag_(false),
train_graph_flag_(false),
@@ -358,7 +361,8 @@ Status GraphExecutor::ExecuteGraph(GraphId graph_id, const GeRootModelPtr &ge_ro
}

Status GraphExecutor::ExecuteGraphAsync(GraphId graph_id, const GeRootModelPtr &ge_root_model,
const std::vector<InputTensorInfo> &input_tensor) {
const std::vector<InputTensorInfo> &input_tensor,
const RunAsyncCallback& callback) {
GELOGI("[GraphExecutor] Start to async execute graph, graph_id=%u", graph_id);
if (graph_id != last_graph_id_) {
auto ret = FreeExecuteMemory();
@@ -368,7 +372,7 @@ Status GraphExecutor::ExecuteGraphAsync(GraphId graph_id, const GeRootModelPtr &
}
last_graph_id_ = graph_id;
GE_CHECK_NOTNULL_EXEC(ge_root_model, return FAILED);
Status ret = AsyncExecuteModel(ge_root_model->GetModelId(), input_tensor);
Status ret = AsyncExecuteModel(ge_root_model, input_tensor, callback);
if (ret != SUCCESS) {
GELOGE(GE_GRAPH_SYNC_MODEL_FAILED, "[GraphExecutor] AsyncExecuteModel Error!");
return GE_GRAPH_SYNC_MODEL_FAILED;
@@ -378,11 +382,81 @@ Status GraphExecutor::ExecuteGraphAsync(GraphId graph_id, const GeRootModelPtr &
return SUCCESS;
}

Status GraphExecutor::AsyncExecuteModel(uint32_t model_id, const std::vector<InputTensorInfo> &inputs) {
bool CompareByLoad(const Uint32Pair &lhs, const Uint32Pair &rhs) {
return lhs.second < rhs.second;
}

uint32_t GraphExecutor::GetExecuteModelId(const GeRootModelPtr &ge_root_model) {
std::vector<uint32_t> model_ids = ge_root_model->GetAllModelId();
if (model_ids.empty()) {
return kInvalidModelId;
}
if (model_ids.size() == 1) {
return ge_root_model->GetModelId();
}
std::vector<Uint32Pair> model_id_to_loads;
auto model_manager = ModelManager::GetInstance();
GE_CHECK_NOTNULL(model_manager);
for (auto model_id : model_ids) {
auto davinci_model = model_manager->GetModel(model_id);
auto hybrid_model = model_manager->GetHybridModel(model_id);
if (hybrid_model == nullptr) {
GE_CHECK_NOTNULL(davinci_model);
}
uint32_t input_load = hybrid_model != nullptr ? hybrid_model->GetDataInputerSize() :
davinci_model->GetDataInputerSize();
uint32_t running_load = hybrid_model != nullptr ? static_cast<uint32_t>(hybrid_model->GetRunningFlag()) :
static_cast<uint32_t>(davinci_model->GetRunningFlag());
uint32_t load = input_load + running_load;
if (load == 0) {
return model_id;
}
model_id_to_loads.emplace_back(model_id, load);
}
sort(model_id_to_loads.begin(), model_id_to_loads.end(), CompareByLoad);
if (model_id_to_loads.empty()) {
return kInvalidModelId;
}
return model_id_to_loads.begin()->first;
}

Status GraphExecutor::SetCallback(uint32_t model_id, const GeRootModelPtr &ge_root_model,
const RunAsyncCallback &callback) {
auto model_manager = ge::ModelManager::GetInstance();
GE_CHECK_NOTNULL(model_manager);
if (model_manager->IsNeedHybridLoad(*ge_root_model)) {
auto model = model_manager->GetHybridModel(model_id);
GE_CHECK_NOTNULL(model);
if (model->SetRunAsyncListenerCallback(callback) != SUCCESS) {
GELOGE(FAILED, "SetRunAsyncListenerCallback failed.");
return FAILED;
}
} else {
auto model = model_manager->GetModel(model_id);
GE_CHECK_NOTNULL(model);
if (model->SetRunAsyncListenerCallback(callback) != SUCCESS) {
GELOGE(FAILED, "SetRunAsyncListenerCallback failed.");
return FAILED;
}
}
return SUCCESS;
}

Status GraphExecutor::AsyncExecuteModel(const GeRootModelPtr &ge_root_model, const std::vector<InputTensorInfo> &inputs,
const RunAsyncCallback &callback) {
uint32_t model_id = GetExecuteModelId(ge_root_model);
if (model_id == kInvalidModelId) {
GELOGE(INTERNAL_ERROR, "No valid model id.");
return INTERNAL_ERROR;
}
try {
auto model_manager = ge::ModelManager::GetInstance();
GE_CHECK_NOTNULL(model_manager);
GELOGI("RunAsync begin.model_id %u", model_id);
if (SetCallback(model_id, ge_root_model, callback) != SUCCESS) {
GELOGE(FAILED, "RunAsync: SetCallBack for model fail");
return FAILED;
}

Status ret = model_manager->DataInputTensor(model_id, inputs);
if (ret != SUCCESS) {


+ 8
- 2
ge/graph/execute/graph_execute.h View File

@@ -50,7 +50,7 @@ class GraphExecutor {
std::vector<GeTensor> &output_tensor);

ge::Status ExecuteGraphAsync(GraphId graph_id, const GeRootModelPtr &ge_root_model,
const std::vector<InputTensorInfo> &input_tensor);
const std::vector<InputTensorInfo> &input_tensor, const RunAsyncCallback &callback);

Status SetCondition(std::mutex *mutex, std::condition_variable *cond, std::shared_ptr<GraphModelListener> listener);

@@ -116,6 +116,8 @@ class GraphExecutor {

static Status GetOpDescInfo(uint32_t device_id, uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info);

uint32_t GetExecuteModelId(const GeRootModelPtr &ge_root_model);

private:
Status PrepareInputData(const std::vector<GeTensor> &input_tensor, InputData &graph_input_data,
OutputData &graph_output_data, std::vector<InputOutputDescInfo> &output_desc);
@@ -123,7 +125,8 @@ class GraphExecutor {
Status SyncExecuteModel(uint32_t model_id, const std::vector<GeTensor> &input_tensor,
std::vector<GeTensor> &output_tensor);

Status AsyncExecuteModel(uint32_t model_id, const std::vector<InputTensorInfo> &input_tensor);
Status AsyncExecuteModel(const GeRootModelPtr &ge_root_model, const std::vector<InputTensorInfo> &input_tensor,
const RunAsyncCallback &callback);

void InitModelIdInfo(std::vector<uint32_t> &out_model_id_info, std::vector<SubGraphInfoPtr> &sub_graph_vec,
uint32_t output_size);
@@ -132,6 +135,9 @@ class GraphExecutor {

Status MallocInOutBuffer(const std::vector<uint64_t> &buffer_size, std::vector<void *> &data_addr);

static Status SetCallback(uint32_t model_id, const GeRootModelPtr &ge_root_model,
const RunAsyncCallback &callback);

bool init_flag_;

bool train_graph_flag_;


+ 0
- 1
ge/graph/load/graph_loader.cc View File

@@ -60,7 +60,6 @@ Status GraphLoader::LoadModelOnline(uint32_t &model_id, const std::shared_ptr<ge
GELOGE(GE_GRAPH_PARAM_NULLPTR, "[LoadGraph] GE load graph model_ptr is nullptr.");
return GE_GRAPH_PARAM_NULLPTR;
}
model_id = ge_root_model_ptr->GetModelId();

auto model_manager = ModelManager::GetInstance();
GE_CHECK_NOTNULL(model_manager);


+ 3
- 3
ge/graph/load/model_manager/data_dumper.cc View File

@@ -385,7 +385,7 @@ Status DataDumper::DumpRefOutput(const DataDumper::InnerDumpInfo &inner_dump_inf

Status DataDumper::DumpOutputWithTask(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
const auto &output_descs = inner_dump_info.op->GetAllOutputsDesc();
const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(runtime_param_, inner_dump_info.op);
const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(*runtime_param_, inner_dump_info.op);
if (output_descs.size() != output_addrs.size()) {
GELOGE(PARAM_INVALID, "Invalid output desc addrs size %zu, op %s has %zu output desc.", output_addrs.size(),
inner_dump_info.op->GetName().c_str(), output_descs.size());
@@ -436,7 +436,7 @@ Status DataDumper::DumpOutput(const InnerDumpInfo &inner_dump_info, aicpu::dump:
// else data, const or variable op
aicpu::dump::Output output;
auto output_tensor = inner_dump_info.op->GetOutputDescPtr(inner_dump_info.output_anchor_index);
const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(runtime_param_, inner_dump_info.op);
const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(*runtime_param_, inner_dump_info.op);
if (output_tensor == nullptr) {
GELOGE(PARAM_INVALID, "output_tensor is null, index: %d, size: %zu.", inner_dump_info.output_anchor_index,
inner_dump_info.op->GetOutputsSize());
@@ -540,7 +540,7 @@ Status DataDumper::DumpRefInput(const DataDumper::InnerDumpInfo &inner_dump_info
Status DataDumper::DumpInput(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
GELOGI("Start dump input");
const auto &input_descs = inner_dump_info.op->GetAllInputsDesc();
const std::vector<void *> input_addrs = ModelUtils::GetInputDataAddrs(runtime_param_, inner_dump_info.op);
const std::vector<void *> input_addrs = ModelUtils::GetInputDataAddrs(*runtime_param_, inner_dump_info.op);
if (input_descs.size() != input_addrs.size()) {
GELOGE(PARAM_INVALID, "Invalid input desc addrs size %zu, op %s has %zu input desc.", input_addrs.size(),
inner_dump_info.op->GetName().c_str(), input_descs.size());


+ 25
- 13
ge/graph/load/model_manager/data_dumper.h View File

@@ -36,9 +36,21 @@
namespace ge {
class DataDumper {
public:
DataDumper() : runtime_param_{} {}

explicit DataDumper(const RuntimeParam &rsh) : runtime_param_(rsh) {}
explicit DataDumper(RuntimeParam *rsh)
: model_name_(),
model_id_(0),
runtime_param_(rsh),
dev_mem_load_(nullptr),
dev_mem_unload_(nullptr),
op_list_(),
input_map_(),
load_flag_(false),
device_id_(0),
global_step_(0),
loop_per_iter_(0),
loop_cond_(0),
compute_graph_(nullptr),
ref_info_() {}

~DataDumper();

@@ -93,10 +105,10 @@ class DataDumper {
// for inference data dump
std::string om_name_;

uint32_t model_id_ = 0;
const RuntimeParam &runtime_param_;
void *dev_mem_load_ = nullptr;
void *dev_mem_unload_ = nullptr;
uint32_t model_id_;
RuntimeParam *runtime_param_;
void *dev_mem_load_;
void *dev_mem_unload_;

struct InnerDumpInfo;
struct InnerInputMapping;
@@ -107,12 +119,12 @@ class DataDumper {
uint32_t end_graph_stream_id_ = 0;
bool is_end_graph_ = false;
std::multimap<std::string, InnerInputMapping> input_map_; // release after DavinciModel::Init
bool load_flag_ = false;
uint32_t device_id_ = 0;
uintptr_t global_step_ = 0;
uintptr_t loop_per_iter_ = 0;
uintptr_t loop_cond_ = 0;
ComputeGraphPtr compute_graph_ = nullptr; // release after DavinciModel::Init
bool load_flag_;
uint32_t device_id_;
uintptr_t global_step_;
uintptr_t loop_per_iter_;
uintptr_t loop_cond_;
ComputeGraphPtr compute_graph_; // release after DavinciModel::Init
std::map<OpDescPtr, void *> ref_info_; // release after DavinciModel::Init
void *l1_fusion_addr_ = nullptr;



+ 2
- 0
ge/graph/load/model_manager/data_inputer.h View File

@@ -134,6 +134,8 @@ class DataInputer {
///
void Stop() { queue_.Stop(); }

uint32_t Size() { return queue_.Size(); }

private:
///
/// @ingroup domi_ome


+ 101
- 40
ge/graph/load/model_manager/davinci_model.cc View File

@@ -31,6 +31,7 @@
#include "common/scope_guard.h"
#include "common/thread_pool.h"
#include "framework/common/debug/ge_log.h"
#include "framework/common/util.h"
#include "graph/common/ge_call_wrapper.h"
#include "graph/compute_graph.h"
#include "graph/debug/ge_attr_define.h"
@@ -184,7 +185,7 @@ DavinciModel::DavinciModel(int32_t priority, const std::shared_ptr<ModelListener
last_execute_mode_(INITIALIZATION),
session_id_(0),
device_id_(0),
maxDumpOpNum_(0), data_dumper_(runtime_param_),
maxDumpOpNum_(0), data_dumper_(&runtime_param_),
iterator_count_(0),
is_l1_fusion_enable_(false),
is_first_execute_(true) {
@@ -297,6 +298,11 @@ void DavinciModel::ReleaseTask() {
GE_CHK_STATUS(task->Release(), "Release task failed.");
}
}

for (auto &item : label_goto_args_) {
GE_FREE_RT_LOG(item.second.first);
}
label_goto_args_.clear();
}

Status DavinciModel::Assign(const GeModelPtr &ge_model) {
@@ -654,12 +660,12 @@ Status DavinciModel::Init(void *dev_ptr, size_t mem_size, void *weight_ptr, size
runtime_param_.graph_id = compute_graph->GetGraphID();

// op debug register
GE_CHK_STATUS_RET(OpDebugRegister(), "OpDebugRegister failed.");
GE_CHK_STATUS_RET(OpDebugRegister(), "OpDebugRegister failed");

GE_TIMESTAMP_START(TransAllVarData);
GE_CHK_STATUS_RET(TransAllVarData(compute_graph, runtime_param_.graph_id), "TransAllVarData failed.");
GE_CHK_STATUS_RET(TransAllVarData(compute_graph, runtime_param_.graph_id), "TransAllVarData failed");
GE_TIMESTAMP_END(TransAllVarData, "GraphLoader::TransAllVarData");
GE_CHK_STATUS_RET(TransVarDataUtils::CopyVarData(compute_graph, session_id_, device_id_), "copy var data failed.");
GE_CHK_STATUS_RET(TransVarDataUtils::CopyVarData(compute_graph, session_id_, device_id_), "copy var data failed");

GE_TIMESTAMP_START(InitModelMem);
GELOGD("Known node is %d.", known_node_);
@@ -667,7 +673,7 @@ Status DavinciModel::Init(void *dev_ptr, size_t mem_size, void *weight_ptr, size
if (!known_node_) {
GE_CHK_STATUS_RET_NOLOG(InitFeatureMapAndP2PMem(dev_ptr, mem_size));
data_inputer_ = new (std::nothrow) DataInputer();
GE_CHK_BOOL_RET_STATUS(data_inputer_ != nullptr, MEMALLOC_FAILED, "data_inputer_ is nullptr.");
GE_CHK_BOOL_RET_STATUS(data_inputer_ != nullptr, MEMALLOC_FAILED, "data_inputer_ is nullptr");
}
fixed_mem_base_ = reinterpret_cast<uintptr_t>(mem_base_);
GE_TIMESTAMP_END(InitModelMem, "GraphLoader::InitModelMem");
@@ -1334,6 +1340,39 @@ void DavinciModel::ParseDynamicOutShape(const std::vector<std::string> &str_info
}
}

Status DavinciModel::GetLabelGotoAddr(uint32_t label_index, rtMemType_t mem_type, void *&arg_addr, uint32_t &arg_size) {
std::lock_guard<std::mutex> lock(label_args_mutex_);
auto it = label_goto_args_.find(label_index);
if (it != label_goto_args_.end()) {
arg_addr = it->second.first;
arg_size = it->second.second;
return SUCCESS;
}

if (label_index >= label_list_.size()) {
GELOGE(INTERNAL_ERROR, "Invalid label id:%u, label size:%zu", label_index, label_list_.size());
return INTERNAL_ERROR;
}
GE_CHECK_NOTNULL(label_list_[label_index]);
vector<rtLabel_t> label_used = { label_list_[label_index] };

arg_size = label_used.size() * sizeof(rtLabelDevInfo);
rtError_t rt_ret = rtMalloc(&arg_addr, arg_size, mem_type);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtMalloc failed, error: %#x", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}

label_goto_args_[label_index] = { arg_addr, arg_size };
rt_ret = rtLabelListCpy(label_used.data(), label_used.size(), arg_addr, arg_size);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtLabelListCpy failed, error: %#x", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}

return SUCCESS;
}

/// @ingroup ge
/// @brief LabelSet Op Initialize.
/// @param [in] op_desc: LabelSet Op descriptor.
@@ -2547,6 +2586,8 @@ void *DavinciModel::Run(DavinciModel *model) {

ErrorManager::GetInstance().SetStage(ErrorMessage::kModelExecute, ErrorMessage::kModelExecute);
while (model->RunFlag()) {
// Model hasn't truly started runing before received data
model->SetRunningFlag(false);
bool rslt_flg = true;
if (model->GetDataInputer() == nullptr) {
GELOGW("Data inputer is nullptr.");
@@ -2556,6 +2597,8 @@ void *DavinciModel::Run(DavinciModel *model) {

std::shared_ptr<InputDataWrapper> data_wrapper;
Status ret = model->GetDataInputer()->Pop(data_wrapper);
// Model run indeedly start after received data.
model->SetRunningFlag(true);
if (data_wrapper == nullptr || ret != SUCCESS) {
GELOGI("data_wrapper is null!");
continue;
@@ -2642,7 +2685,9 @@ void *DavinciModel::Run(DavinciModel *model) {

model->iterator_count_++;
model->is_first_execute_ = false;
GELOGI("run iterator count is %lu", model->iterator_count_);
// model run finished
model->SetRunningFlag(false);
GELOGI("run iterator count is %lu, model_id:%u", model->iterator_count_, model->model_id_);
}

CsaInteract::GetInstance().WriteInternalErrorCode();
@@ -2700,7 +2745,7 @@ Status DavinciModel::ModelRunStart() {

error_context_ = ErrorManager::GetInstance().GetErrorContext();
CREATE_STD_THREAD(thread_id_, DavinciModel::Run, this);
GELOGI("model tread create success, model id:%u.", model_id_);
GELOGI("model thread create success, model id:%u.", model_id_);
return SUCCESS;
}

@@ -2836,23 +2881,16 @@ Status DavinciModel::UpdateKnownNodeArgs(const vector<void *> &inputs, const vec
GELOGI("DavinciModel::UpdateKnownNodeArgs in");
GE_CHK_STATUS_RET(CreateKnownZeroCopyMap(inputs, outputs),
"DavinciModel::UpdateKnownNodeArgs create map for input/output zero copy.");
if (!base_addr_not_changed_) {
total_io_addrs_.clear();
orig_total_io_addrs_.clear();
for (size_t task_index = 0; task_index < task_list_.size(); ++task_index) {
auto &task = task_list_[task_index];
if (task != nullptr) {
Status ret = task->UpdateArgs();
if (ret != SUCCESS) {
GELOGE(FAILED, "task %zu created by davinci model is nullptr.", task_index);
return FAILED;
}
total_io_addrs_.clear();
for (size_t task_index = 0; task_index < task_list_.size(); ++task_index) {
auto &task = task_list_[task_index];
if (task != nullptr) {
Status ret = task->UpdateArgs();
if (ret != SUCCESS) {
GELOGE(FAILED, "task %zu created by davinci model is nullptr.", task_index);
return FAILED;
}
}
// cache latest iterator io addr
orig_total_io_addrs_ = total_io_addrs_;
} else {
total_io_addrs_ = orig_total_io_addrs_;
}
GE_CHK_STATUS_RET(UpdateKnownZeroCopyAddr(total_io_addrs_, false), "DavinciModel::UpdateKnownZeroCopyAddr failed.");

@@ -2892,6 +2930,14 @@ Status DavinciModel::InitTaskInfo(domi::ModelTaskDef &model_task_def) {
return SUCCESS;
}

Status DavinciModel::CheckCapability(rtFeatureType_t featureType, int32_t featureInfo, bool &is_support) const {
int64_t value = RT_CAPABILITY_SUPPORT;
auto rt_ret = rtGetRtCapability(featureType, featureInfo, &value);
GE_CHK_BOOL_RET_STATUS(rt_ret == RT_ERROR_NONE, FAILED, "call rtGetRtCapability failed!");
is_support = (value == RT_CAPABILITY_SUPPORT) ? true : false;
return SUCCESS;
}

Status DavinciModel::MallocKnownArgs() {
GELOGI("DavinciModel::MallocKnownArgs in");
const auto &model_task_def = ge_model_->GetModelTaskDefPtr();
@@ -2910,20 +2956,22 @@ Status DavinciModel::MallocKnownArgs() {
return ret;
}
}
rtError_t rt_ret;
// malloc args memory
if (total_args_size_ == 0) {
GELOGW("DavinciModel::MallocKnownArgs total_args_size_ equals to zero.");
return SUCCESS;
}
bool is_support = false;
GE_CHK_STATUS_RET_NOLOG(CheckCapability(FEATURE_TYPE_MEMORY, MEMORY_INFO_TS_4G_LIMITED, is_support));
auto mem_type = is_support ? RT_MEMORY_TS_4G : RT_MEMORY_HBM;

rtError_t rt_ret = rtMalloc(&args_, total_args_size_, RT_MEMORY_HBM);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
if (total_args_size_ != 0) {
rt_ret = rtMalloc(&args_, total_args_size_, mem_type);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
}
// malloc dynamic and static hybrid memory
if (total_hybrid_args_size_ != 0) {
rt_ret = rtMalloc(&hybrid_addrs_, total_hybrid_args_size_, RT_MEMORY_HBM);
rt_ret = rtMalloc(&hybrid_addrs_, total_hybrid_args_size_, mem_type);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
@@ -2932,7 +2980,7 @@ Status DavinciModel::MallocKnownArgs() {
// malloc fixed addr memory, eg: rts op
if (total_fixed_addr_size_ != 0) {
GELOGI("Begin to allocate fixed addr.");
rt_ret = rtMalloc(&fixed_addrs_, total_fixed_addr_size_, RT_MEMORY_HBM);
rt_ret = rtMalloc(&fixed_addrs_, total_fixed_addr_size_, mem_type);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
@@ -3025,9 +3073,8 @@ Status DavinciModel::DistributeTask() {
task_def.kernel_ex().op_index());
OpDescPtr op = GetOpByIndex(op_index);
GE_CHECK_NOTNULL(op);

if (reinterpret_cast<void *>(task->GetDumpArgs()) != nullptr) {
bool call_dump = GetDumpProperties().IsLayerNeedDump(name_, om_name_, op->GetName()) && task->CallSaveDumpInfo();
bool call_dump = OpNeedDump(op->GetName()) && task->CallSaveDumpInfo();
if (call_dump || is_op_debug_reg_) {
SaveDumpTask(task->GetTaskID(), task->GetStreamId(), op, task->GetDumpArgs());
}
@@ -3047,11 +3094,16 @@ Status DavinciModel::DistributeTask() {
return SUCCESS;
}

void DavinciModel::SetEndGraphId(uint32_t task_id, uint32_t stream_id) {
bool DavinciModel::ModelNeedDump() {
auto all_dump_model = GetDumpProperties().GetAllDumpModel();
bool findByOmName = all_dump_model.find(om_name_) != all_dump_model.end();
bool findByModelName = all_dump_model.find(name_) != all_dump_model.end();
if (all_dump_model.find(ge::DUMP_ALL_MODEL) != all_dump_model.end() || findByOmName || findByModelName) {
bool ret = all_dump_model.find(ge::DUMP_ALL_MODEL) != all_dump_model.end() ||
all_dump_model.find(dump_model_name_) != all_dump_model.end() ||
all_dump_model.find(om_name_) != all_dump_model.end();
return ret;
}

void DavinciModel::SetEndGraphId(uint32_t task_id, uint32_t stream_id) {
if (ModelNeedDump()) {
GELOGI("start save end_graph_info to dumper, task_id is %u, stream_id is %u", task_id, stream_id);
data_dumper_.SaveEndGraphId(task_id, stream_id);
}
@@ -3851,7 +3903,10 @@ Status DavinciModel::TransAllVarData(ComputeGraphPtr &graph, uint32_t graph_id)
}

void DavinciModel::SetDataDumperArgs(const ComputeGraphPtr &graph, const map<string, OpDescPtr> &variable_by_name) {
data_dumper_.SetModelName(name_);
if(dump_model_name_.empty()) {
dump_model_name_ = name_;
}
data_dumper_.SetModelName(dump_model_name_);
data_dumper_.SetModelId(model_id_);
data_dumper_.SetOmName(om_name_);
data_dumper_.SetComputeGraph(graph);
@@ -4040,7 +4095,7 @@ int64_t DavinciModel::GetFixedAddrsSize(string tensor_name) {
Status DavinciModel::InitL1DataDumperArgs() {
auto all_dump_model = GetDumpProperties().GetAllDumpModel();
bool find_by_om_name = all_dump_model.find(om_name_) != all_dump_model.end();
bool find_by_model_name = all_dump_model.find(name_) != all_dump_model.end();
bool find_by_model_name = all_dump_model.find(dump_model_name_) != all_dump_model.end();
bool dump_l1fusion_op =
(all_dump_model.find(ge::DUMP_ALL_MODEL) != all_dump_model.end()) || find_by_om_name || find_by_model_name;
if (dump_l1fusion_op) {
@@ -4061,4 +4116,10 @@ Status DavinciModel::InitL1DataDumperArgs() {
return SUCCESS;
}

Status DavinciModel::SetRunAsyncListenerCallback(const RunAsyncCallback &callback) {
auto listener = dynamic_cast<RunAsyncListener *>(listener_.get());
GE_CHECK_NOTNULL(listener);
listener->SetCallback(callback);
return SUCCESS;
}
} // namespace ge

+ 29
- 4
ge/graph/load/model_manager/davinci_model.h View File

@@ -221,6 +221,11 @@ class DavinciModel {
///
DataInputer *const GetDataInputer() const { return data_inputer_; }

uint32_t GetDataInputerSize() {
GE_CHECK_NOTNULL(data_inputer_);
return data_inputer_->Size();
}

// get Stream number
uint32_t StreamNum() const { return runtime_param_.stream_num; }

@@ -248,7 +253,10 @@ class DavinciModel {
string Name() const { return name_; }

// om_name
string OmName() const { return om_name_; }
const string &OmName() const { return om_name_; }

// dump_model_name
const string &DumpModelName() const { return dump_model_name_; }

// version
uint32_t Version() const { return version_; }
@@ -273,6 +281,8 @@ class DavinciModel {

const vector<rtLabel_t> &GetLabelList() const { return label_list_; }

Status GetLabelGotoAddr(uint32_t label_index, rtMemType_t memory_type, void *&addr, uint32_t &size);

Status DestroyThread();

// get Op
@@ -481,6 +491,12 @@ class DavinciModel {
data_dumper_.DumpShrink();
}

bool OpNeedDump(const string &op_name) {
return GetDumpProperties().IsLayerNeedDump(dump_model_name_, om_name_, op_name);
}

bool ModelNeedDump();

void SetEndGraphId(uint32_t task_id, uint32_t stream_id);
DavinciModel &operator=(const DavinciModel &model) = delete;

@@ -528,11 +544,11 @@ class DavinciModel {
}
void SetKnownNode(bool known_node) { known_node_ = known_node; }
bool IsKnownNode() { return known_node_; }
Status CheckCapability(rtFeatureType_t featureType, int32_t featureInfo, bool &is_support) const;
Status MallocKnownArgs();
Status UpdateKnownNodeArgs(const vector<void *> &inputs, const vector<void *> &outputs);
Status CreateKnownZeroCopyMap(const vector<void *> &inputs, const vector<void *> &outputs);
Status UpdateKnownZeroCopyAddr(vector<void *> &total_io_addrs, bool update_args = true);
void SetKnownNodeAddrNotChanged(bool base_addr_not_changed) { base_addr_not_changed_ = base_addr_not_changed; }

Status GetOrigInputInfo(uint32_t index, OriginInputInfo &orig_input_info) const;
Status GetAllAippInputOutputDims(uint32_t index, vector<InputOutputDims> &input_dims,
@@ -540,6 +556,7 @@ class DavinciModel {

// om file name
void SetOmName(const string &om_name) { om_name_ = om_name; }
void SetDumpModelName(const string &dump_model_name) { dump_model_name_ = dump_model_name; }

void SetDumpProperties(const DumpProperties &dump_properties) { data_dumper_.SetDumpProperties(dump_properties); }
const DumpProperties &GetDumpProperties() const { return data_dumper_.GetDumpProperties(); }
@@ -548,6 +565,10 @@ class DavinciModel {
return data_dumper_.GetOpDescInfo(stream_id, task_id, op_desc_info);
}

bool GetRunningFlag() const { return running_flg_; }
void SetRunningFlag(bool flag) { running_flg_ = flag; }
Status SetRunAsyncListenerCallback(const RunAsyncCallback &callback);

private:
// memory address of weights
uint8_t *weights_mem_base_;
@@ -886,6 +907,7 @@ class DavinciModel {

// used for inference data dump
string om_name_;
string dump_model_name_;

uint32_t version_;
GeModelPtr ge_model_; // release after DavinciModel::Init
@@ -911,6 +933,8 @@ class DavinciModel {
shared_ptr<ModelListener> listener_;

bool run_flg_;
// check whether model is running with data
bool running_flg_ = false;

mutex mux_run_flg_;

@@ -930,6 +954,9 @@ class DavinciModel {
vector<rtLabel_t> label_list_;
set<uint32_t> label_id_indication_;

mutex label_args_mutex_;
map<uint32_t, pair<void *, uint32_t>> label_goto_args_;

mutex outside_addrs_mutex_;
vector<ZeroCopyTask> zero_copy_tasks_; // Task used Data or NetOutput addr.
set<const void *> copy_only_addrs_; // Address need copy to original place.
@@ -1002,8 +1029,6 @@ class DavinciModel {
map<const void *, void *> known_input_data_info_;
map<const void *, void *> known_output_data_info_;
vector<void *> total_io_addrs_;
vector<void *> orig_total_io_addrs_;
bool base_addr_not_changed_ = false;

vector<vector<int64_t>> batch_info_;
vector<vector<int64_t>> combined_batch_info_;


+ 36
- 17
ge/graph/load/model_manager/model_manager.cc View File

@@ -271,7 +271,7 @@ ge::Status ModelManager::SetDynamicSize(uint32_t model_id, const std::vector<uin
return SUCCESS;
}

ge::Status ModelManager::DoLoadHybridModelOnline(uint32_t model_id, const string &model_name,
ge::Status ModelManager::DoLoadHybridModelOnline(uint32_t model_id, const string &om_name,
const shared_ptr<ge::GeRootModel> &ge_root_model,
const shared_ptr<ModelListener> &listener) {
auto hybrid_model = hybrid::HybridDavinciModel::Create(ge_root_model);
@@ -279,13 +279,24 @@ ge::Status ModelManager::DoLoadHybridModelOnline(uint32_t model_id, const string
hybrid_model->SetListener(listener);
hybrid_model->SetModelId(model_id);
hybrid_model->SetDeviceId(GetContext().DeviceId());
hybrid_model->SetModelName(model_name);
hybrid_model->SetOmName(om_name);
GE_CHK_STATUS_RET(hybrid_model->Init(), "Failed to init hybrid model. model_id = %u", model_id);
auto shared_model = std::shared_ptr<hybrid::HybridDavinciModel>(hybrid_model.release());
InsertModel(model_id, shared_model);
return SUCCESS;
}

bool ModelManager::IsNeedHybridLoad(ge::GeRootModel &ge_root_model) {
auto root_graph = ge_root_model.GetRootGraph();
if (root_graph == nullptr) {
GELOGE(FAILED, "no model on root model");
return false;
}
bool is_shape_unknown = root_graph->GetGraphUnknownFlag();
bool is_dsp_partitioned_graph = false;
(void)AttrUtils::GetBool(root_graph, ATTR_NAME_DYNAMIC_SHAPE_PARTITIONED, is_dsp_partitioned_graph);
return is_shape_unknown || is_dsp_partitioned_graph || GetContext().GetHostExecFlag();
}
///
/// @ingroup domi_ome
/// @brief load model online
@@ -296,14 +307,12 @@ Status ModelManager::LoadModelOnline(uint32_t &model_id, const shared_ptr<ge::Ge
GE_CHK_BOOL_RET_STATUS(listener.get() != nullptr, PARAM_INVALID, "Param incorrect, listener is null");
if (model_id == INVALID_MODEL_ID) {
GenModelId(&model_id);
GELOGD("Generate new model_id:%u", model_id);
}

bool is_shape_unknown = false;
string model_name = "";
GE_CHK_STATUS_RET(ge_root_model->CheckIsUnknownShape(is_shape_unknown), "CheckIsUnknownShape failed, model id:%u",
model_id);
if (is_shape_unknown || GetContext().GetHostExecFlag()) {
return DoLoadHybridModelOnline(model_id, model_name, ge_root_model, listener);
auto name_to_model = ge_root_model->GetSubgraphInstanceNameToModel();
string om_name;
if (IsNeedHybridLoad(*ge_root_model)) {
return DoLoadHybridModelOnline(model_id, om_name, ge_root_model, listener);
}

mmTimespec timespec = mmGetTickCount();
@@ -324,7 +333,6 @@ Status ModelManager::LoadModelOnline(uint32_t &model_id, const shared_ptr<ge::Ge
auto root_graph = ge_root_model->GetRootGraph();
GE_CHECK_NOTNULL(root_graph);
string root_model_name = root_graph->GetName();
auto name_to_model = ge_root_model->GetSubgraphInstanceNameToModel();
GeModelPtr ge_model = name_to_model[root_model_name];
Status ret = SUCCESS;
do {
@@ -332,7 +340,18 @@ Status ModelManager::LoadModelOnline(uint32_t &model_id, const shared_ptr<ge::Ge
GE_IF_BOOL_EXEC(SUCCESS != (ret = davinci_model->Assign(ge_model)), GELOGW("assign model to modeldef failed.");
break;);
GE_TIMESTAMP_END(Assign, "GraphLoader::ModelAssign");

/// In multi-threaded inference, using the same session_id among multiple threads may cause some threads to fail.
/// These session_ids come from the same model, so the values of session_id are the same.
/// Update session_id for infer in load model to avoid the same session_id.
if (!ge_root_model->GetTrainFlag()) {
uint64_t new_session_id;
ret = GenSessionId(new_session_id);
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, return ret, "Generate session_id for infer failed.");
ret = davinci_model->UpdateSessionId(new_session_id);
GE_CHK_BOOL_TRUE_EXEC_WITH_LOG(ret != SUCCESS, return ret, "Update session_id for infer failed.");
ge_model->InsertSessionMap(model_id, new_session_id);
GELOGD("Update new session id: %lu.", new_session_id);
}
GE_TIMESTAMP_START(Init);
GE_IF_BOOL_EXEC(SUCCESS != (ret = davinci_model->Init()), GELOGW("DavinciInit failed."); break;);
GE_TIMESTAMP_END(Init, "GraphLoader::ModelInit");
@@ -345,16 +364,16 @@ Status ModelManager::LoadModelOnline(uint32_t &model_id, const shared_ptr<ge::Ge
return ret;
}

void ModelManager::InsertModel(uint32_t id, std::shared_ptr<DavinciModel> &davinci_model) {
GE_CHK_BOOL_EXEC(davinci_model != nullptr, return, "davinci_model ptr is null, id: %u", id);
void ModelManager::InsertModel(uint32_t model_id, std::shared_ptr<DavinciModel> &davinci_model) {
GE_CHK_BOOL_EXEC(davinci_model != nullptr, return, "davinci_model ptr is null, id: %u", model_id);
std::lock_guard<std::recursive_mutex> lock(map_mutex_);
model_map_[id] = davinci_model;
model_map_[model_id] = davinci_model;
}

void ModelManager::InsertModel(uint32_t id, shared_ptr<hybrid::HybridDavinciModel> &hybrid_model) {
GE_CHK_BOOL_EXEC(hybrid_model != nullptr, return, "hybrid_model ptr is null, id: %u", id);
void ModelManager::InsertModel(uint32_t model_id, shared_ptr<hybrid::HybridDavinciModel> &hybrid_model) {
GE_CHK_BOOL_EXEC(hybrid_model != nullptr, return, "hybrid_model ptr is null, id: %u", model_id);
std::lock_guard<std::recursive_mutex> lock(map_mutex_);
hybrid_model_map_[id] = hybrid_model;
hybrid_model_map_[model_id] = hybrid_model;
}

Status ModelManager::DeleteModel(uint32_t id) {


+ 3
- 2
ge/graph/load/model_manager/model_manager.h View File

@@ -294,6 +294,7 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager {
std::vector<InputOutputDims> &output_dims);

bool IsDynamicShape(uint32_t model_id);
bool IsNeedHybridLoad(ge::GeRootModel &ge_root_model);
ge::Status GetOpDescInfo(uint32_t device_id, uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info);

ge::Status EnableExceptionDump(const std::map<string, string> &options);
@@ -329,8 +330,8 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager {
/// @ingroup domi_ome
/// @brief insert new model into model manager set
///
void InsertModel(uint32_t id, std::shared_ptr<DavinciModel> &davinci_model);
void InsertModel(uint32_t id, std::shared_ptr<hybrid::HybridDavinciModel> &hybrid_model);
void InsertModel(uint32_t model_id, std::shared_ptr<DavinciModel> &davinci_model);
void InsertModel(uint32_t model_id, std::shared_ptr<hybrid::HybridDavinciModel> &hybrid_model);

///
/// @ingroup domi_ome


+ 2
- 1
ge/graph/load/model_manager/model_utils.cc View File

@@ -384,7 +384,8 @@ Status ModelUtils::GetVarAddr(const RuntimeParam &model_param, const ConstOpDesc
switch (mem_type) {
case RT_MEMORY_RDMA_HBM:
if (offset < 0) {
GELOGE(PARAM_INVALID, "rdma var addr is invalid, addr=%p", reinterpret_cast<uint8_t *>(offset));
GELOGE(PARAM_INVALID, "rdma var addr is invalid, addr=%p",
reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(offset)));
return PARAM_INVALID;
}
var_addr = reinterpret_cast<uint8_t *>(static_cast<uintptr_t>(offset));


+ 1
- 4
ge/graph/load/model_manager/task_info/end_graph_task_info.cc View File

@@ -45,10 +45,7 @@ Status EndGraphTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin
Status EndGraphTaskInfo::Distribute() {
GELOGI("EndGraphTaskInfo Distribute Start.");
GE_CHECK_NOTNULL(davinci_model_);
auto all_dump_model = davinci_model_->GetDumpProperties().GetAllDumpModel();
if (all_dump_model.find(ge::DUMP_ALL_MODEL) != all_dump_model.end() ||
all_dump_model.find(davinci_model_->Name()) != all_dump_model.end() ||
all_dump_model.find(davinci_model_->OmName()) != all_dump_model.end()) {
if (davinci_model_->ModelNeedDump()) {
GELOGI("Start to call rtEndGraphEx");
rtError_t rt_ret = rtEndGraphEx(model_, stream_, kDumpFlag);
if (rt_ret != RT_ERROR_NONE) {


+ 1
- 2
ge/graph/load/model_manager/task_info/kernel_ex_task_info.cc View File

@@ -238,8 +238,7 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin
}

void KernelExTaskInfo::InitDumpTask(void *addr, const OpDescPtr &op_desc) {
if (davinci_model_->GetDumpProperties().IsLayerNeedDump(davinci_model_->Name(), davinci_model_->OmName(),
op_desc->GetName())) {
if (davinci_model_->OpNeedDump(op_desc->GetName())) {
dump_flag_ = RT_KERNEL_DUMPFLAG;
dump_args_ = addr;
}


+ 74
- 49
ge/graph/load/model_manager/task_info/kernel_task_info.cc View File

@@ -124,7 +124,8 @@ Status KernelTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci
return FAILED;
}

ret = InitTVMTask(args_offset_tmp[0], kernel_def);
io_addr_offset_ = args_offset_tmp[0];
ret = InitTVMTask(io_addr_offset_, kernel_def);
} else if (kernel_type_ == ccKernelType::CUSTOMIZED) {
ret = InitAICPUCustomTask(context.op_index(), kernel_def);
} else if (kernel_type_ == ccKernelType::AI_CPU || kernel_type_ == ccKernelType::CUST_AI_CPU) {
@@ -380,7 +381,8 @@ Status KernelTaskInfo::Distribute() {
GELOGD("KernelTaskInfo Distribute Start.");
if (davinci_model_->IsKnownNode()) {
if (kernel_type_ == ccKernelType::TE) {
args_ = davinci_model_->GetCurrentArgsAddr(args_offset_);
args_ = l2_buffer_on_ ? davinci_model_->GetCurrentHybridArgsAddr(hybrid_args_offset_)
: davinci_model_->GetCurrentArgsAddr(args_offset_);
} else if (kernel_type_ == ccKernelType::AI_CPU || kernel_type_ == ccKernelType::CUST_AI_CPU) {
args_ = davinci_model_->GetCurrentHybridArgsAddr(hybrid_args_offset_);
}
@@ -407,10 +409,7 @@ Status KernelTaskInfo::Distribute() {
call_skt, task_id_, skt_id_, skt_info.last_task_id, stub_func_name_.c_str(), stub_func_, block_dim_, stream_);
// l1 fusion enable and env flag open (kCloseSkt for skt debug)
bool open_dump = false;
auto all_dump_model = davinci_model_->GetDumpProperties().GetAllDumpModel();
if (all_dump_model.find(ge::DUMP_ALL_MODEL) != all_dump_model.end() ||
all_dump_model.find(davinci_model_->Name()) != all_dump_model.end() ||
all_dump_model.find(davinci_model_->OmName()) != all_dump_model.end()) {
if (davinci_model_->ModelNeedDump()) {
open_dump = true;
}
if (call_skt && (env_flag != kCloseSkt) && !open_dump) {
@@ -449,29 +448,41 @@ void KernelTaskInfo::SetIoAddrs(const OpDescPtr &op_desc) {
}
}

Status KernelTaskInfo::CopyNoncontinuousArgs(uint16_t offset) {
GE_CHECK_NOTNULL(davinci_model_);
// copy new io addrs
vector<void *> io_addrs = io_addrs_;
davinci_model_->UpdateKnownZeroCopyAddr(io_addrs);
auto addr_size = kAddrLen * io_addrs.size();

// copy io addr
errno_t sec_ret = memcpy_s(args_addr.get() + offset, addr_size, io_addrs.data(), addr_size);
if (sec_ret != EOK) {
GELOGE(FAILED, "memcpy failed, ret: %d", sec_ret);
return FAILED;
}

// copy args to device
rtError_t rt_ret = rtMemcpy(args_, args_size_, args_addr.get(), args_size_, RT_MEMCPY_HOST_TO_DEVICE);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api(rtMemcpy) failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
GELOGD("Copy noncontinuous args success, kernel type %d.", kernel_type_);
return SUCCESS;
}

Status KernelTaskInfo::UpdateArgs() {
GELOGI("KernelTaskInfo::UpdateArgs in.");
GE_CHECK_NOTNULL(davinci_model_);
if (kernel_type_ == ccKernelType::TE) {
if (l2_buffer_on_) {
return CopyNoncontinuousArgs(io_addr_offset_);
}
davinci_model_->SetTotalIOAddrs(io_addrs_);
} else if (kernel_type_ == ccKernelType::AI_CPU || kernel_type_ == ccKernelType::CUST_AI_CPU) {
vector<void *> io_addrs = io_addrs_;
davinci_model_->UpdateKnownZeroCopyAddr(io_addrs);
uintptr_t io_addr = reinterpret_cast<uintptr_t>(args_addr.get()) + sizeof(aicpu::AicpuParamHead);
auto addrs_size = sizeof(uint64_t) * io_addrs.size();
errno_t sec_ret = memcpy_s(reinterpret_cast<void *>(io_addr), addrs_size, io_addrs.data(), addrs_size);
if (sec_ret != EOK) {
GELOGE(FAILED, "memcpy failed, ret: %d", sec_ret);
return FAILED;
}
// copy args to device
rtError_t rt_ret = rtMemcpy(args_, args_size_, args_addr.get(), args_size_, RT_MEMCPY_HOST_TO_DEVICE);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api(rtMemcpy) failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
return CopyNoncontinuousArgs(sizeof(aicpu::AicpuParamHead));
}

GELOGI("KernelTaskInfo::UpdateArgs success.");
return SUCCESS;
}

@@ -516,8 +527,8 @@ Status KernelTaskInfo::UpdateL2Data(const domi::KernelDef &kernel_def) {
return SUCCESS;
}

char *sm_contrl = const_cast<char *>(sm_desc.data());
rtL2Ctrl_t *l2_ctrl_info = reinterpret_cast<rtL2Ctrl_t *>(sm_contrl);
char *sm_control = const_cast<char *>(sm_desc.data());
rtL2Ctrl_t *l2_ctrl_info = reinterpret_cast<rtL2Ctrl_t *>(sm_control);
uint64_t gen_base_addr = davinci_model_->GetRtBaseAddr();

// There is no weight for te op now. Update L2_mirror_addr by data memory base.
@@ -545,19 +556,31 @@ Status KernelTaskInfo::UpdateL2Data(const domi::KernelDef &kernel_def) {
return SUCCESS;
}

void KernelTaskInfo::SetContinuousArgs(uint32_t args_size, DavinciModel *davinci_model) {
args_offset_ = davinci_model->GetTotalArgsSize();
davinci_model->SetTotalArgsSize(args_size);
}

void KernelTaskInfo::SetNoncontinuousArgs(uint32_t args_size, DavinciModel *davinci_model) {
hybrid_args_offset_ = davinci_model->GetHybridArgsSize();
davinci_model->SetHybridArgsSize(args_size);
}

Status KernelTaskInfo::CalculateArgs(const domi::TaskDef &task_def, DavinciModel *davinci_model) {
GE_CHECK_NOTNULL(davinci_model);
const domi::KernelDef &kernel_def = task_def.kernel();
const domi::KernelContext &context = kernel_def.context();
kernel_type_ = static_cast<ccKernelType>(context.kernel_type());
uint32_t args_size = kernel_def.args_size();
if (kernel_type_ == ccKernelType::TE) {
uint32_t args_size = kernel_def.args_size();
args_offset_ = davinci_model->GetTotalArgsSize();
davinci_model->SetTotalArgsSize(args_size);
GELOGI("kernel task name , args_size %u, args_offset %u", args_size, args_offset_);
if (kernel_def.sm_desc().empty()) {
SetContinuousArgs(args_size, davinci_model);
return SUCCESS;
}
l2_buffer_on_ = true;
SetNoncontinuousArgs(args_size, davinci_model);
} else if (kernel_type_ == ccKernelType::AI_CPU || kernel_type_ == ccKernelType::CUST_AI_CPU) {
hybrid_args_offset_ = davinci_model->GetHybridArgsSize();
davinci_model->SetHybridArgsSize(kernel_def.args_size());
GELOGI("aicpu kernel task name , args_size %u, args_offset %u", kernel_def.args_size(), hybrid_args_offset_);
SetNoncontinuousArgs(args_size, davinci_model);
}
return SUCCESS;
}
@@ -568,8 +591,23 @@ Status KernelTaskInfo::InitTVMTask(uint16_t offset, const domi::KernelDef &kerne
// get tvm op desc
OpDescPtr op_desc = davinci_model_->GetOpByIndex(ctx_.opIndex);
GE_CHECK_NOTNULL(op_desc);

args_addr = std::unique_ptr<uint8_t[]>(new (std::nothrow) uint8_t[args_size_]);
errno_t sec_ret = memcpy_s(args_addr.get(), args_size_, kernel_def.args().data(), args_size_);
if (sec_ret != EOK) {
GELOGE(FAILED, "memcpy failed, ret: %d", sec_ret);
return FAILED;
}

Status ge_ret = UpdateL2Data(kernel_def);
// update origin l2 data
if (ge_ret != SUCCESS) {
return ge_ret;
}

if (davinci_model_->IsKnownNode()) {
args_ = davinci_model_->GetCurrentArgsAddr(args_offset_);
args_ = l2_buffer_on_ ? davinci_model_->GetCurrentHybridArgsAddr(hybrid_args_offset_)
: davinci_model_->GetCurrentArgsAddr(args_offset_);
InitDumpTask(offset);
return SUCCESS;
}
@@ -609,12 +647,6 @@ Status KernelTaskInfo::InitTVMTask(uint16_t offset, const domi::KernelDef &kerne
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
vector<uint8_t> args_info(args_size_);
errno_t sec_ret = memcpy_s(args_info.data(), args_size_, kernel_def.args().data(), args_size_);
if (sec_ret != EOK) {
GELOGE(FAILED, "memcpy failed, ret: %d", sec_ret);
return FAILED;
}

if ((args_size_ <= offset) || (args_size_ - offset < kAddrLen * tensor_device_addrs.size())) {
GELOGE(FAILED, "offset >= kernelInfo.argsSize or copy content beyond applied memory.");
@@ -628,7 +660,7 @@ Status KernelTaskInfo::InitTVMTask(uint16_t offset, const domi::KernelDef &kerne
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
sec_ret = memcpy_s(args_info.data() + offset, args_size_ - offset, tensor_device_addrs.data(),
sec_ret = memcpy_s(args_addr.get() + offset, args_size_ - offset, tensor_device_addrs.data(),
kAddrLen * tensor_device_addrs.size());
if (sec_ret != EOK) {
GELOGE(FAILED, "memcpy failed, ret: %d", sec_ret);
@@ -640,19 +672,13 @@ Status KernelTaskInfo::InitTVMTask(uint16_t offset, const domi::KernelDef &kerne
GE_CHK_BOOL_TRUE_EXEC_INFO(davinci_model_->GetOpDugReg(), dump_args_ = static_cast<char *>(args_) + offset,
"Op debug is open in TVM task info");

Status ge_ret = UpdateL2Data(kernel_def);
// update origin l2 data
if (ge_ret != SUCCESS) {
return ge_ret;
}

vector<void *> virtual_io_addrs; // use virtual address for zero copy key.
virtual_io_addrs.insert(virtual_io_addrs.end(), input_data_addrs.begin(), input_data_addrs.end());
virtual_io_addrs.insert(virtual_io_addrs.end(), output_data_addrs.begin(), output_data_addrs.end());
if (op_desc->GetType() == ATOMICADDRCLEAN) {
virtual_io_addrs.insert(virtual_io_addrs.end(), workspace_data_addrs.begin(), workspace_data_addrs.end());
}
davinci_model_->SetZeroCopyAddr(op_desc, virtual_io_addrs, args_info.data(), args_, args_size_, offset);
davinci_model_->SetZeroCopyAddr(op_desc, virtual_io_addrs, args_addr.get(), args_, args_size_, offset);

GELOGD("Do InitTVMTask end");
return SUCCESS;
@@ -951,8 +977,7 @@ Status KernelTaskInfo::InitAicpuTask(uint32_t op_index, const domi::KernelDef &k
}

void KernelTaskInfo::InitDumpTask(uint32_t offset) {
if (davinci_model_->GetDumpProperties().IsLayerNeedDump(davinci_model_->Name(), davinci_model_->OmName(),
op_desc_->GetName())) {
if (davinci_model_->OpNeedDump(op_desc_->GetName())) {
if (IsL1FusionOp(op_desc_)) {
dump_flag_ = RT_FUSION_KERNEL_DUMPFLAG;
} else {


+ 5
- 0
ge/graph/load/model_manager/task_info/kernel_task_info.h View File

@@ -129,6 +129,9 @@ class KernelTaskInfo : public TaskInfo {
bool IsL1FusionOp(const OpDescPtr &op_desc);
void SetIoAddrs(const OpDescPtr &op_desc);
void InitDumpTask(uint32_t offset);
void SetContinuousArgs(uint32_t args_size, DavinciModel *davinci_model);
void SetNoncontinuousArgs(uint32_t args_size, DavinciModel *davinci_model);
Status CopyNoncontinuousArgs(uint16_t offset);

// For super kernel
Status SaveSKTDumpInfo();
@@ -163,6 +166,8 @@ class KernelTaskInfo : public TaskInfo {
uint32_t hybrid_args_offset_ = 0;
int64_t fixed_addr_offset_ = 0;
std::unique_ptr<uint8_t[]> args_addr = nullptr;
uint16_t io_addr_offset_ = 0;
bool l2_buffer_on_ = false;
bool call_save_dump_ = false;

// aicpu ext_info device mem


+ 33
- 9
ge/graph/load/model_manager/task_info/label_goto_ex_task_info.cc View File

@@ -17,9 +17,15 @@
#include "graph/load/model_manager/task_info/label_goto_ex_task_info.h"

#include "graph/load/model_manager/davinci_model.h"
#include "graph/debug/ge_attr_define.h"

namespace ge {
constexpr uint8_t kGotoBranchMax = 1;

LabelGotoExTaskInfo::~LabelGotoExTaskInfo() {
args_ = nullptr;
GE_FREE_RT_LOG(index_value_);
}

Status LabelGotoExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_model) {
GELOGI("LabelGotoExTaskInfo Init Start.");
GE_CHECK_NOTNULL(davinci_model);
@@ -28,7 +34,7 @@ Status LabelGotoExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da
return FAILED;
}

// Get LabelGoto task def
// Get LabelGotoEx task def
const domi::LabelGotoExDef &label_goto = task_def.label_goto_ex();
OpDescPtr op_desc = davinci_model->GetOpByIndex(label_goto.op_index());
if (op_desc == nullptr) {
@@ -43,20 +49,38 @@ Status LabelGotoExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da
return INTERNAL_ERROR;
}

const vector<rtLabel_t> &label_list = davinci_model->GetLabelList();
if (label_index >= label_list.size()) {
GELOGE(PARAM_INVALID, "LabelGotoExTaskInfo: Invalid label id:%u, label size:%zu", label_index, label_list.size());
return INTERNAL_ERROR;
rtMemType_t memory_type = op_desc->HasAttr(ATTR_NAME_MEMORY_TYPE_RANGE) ? RT_MEMORY_TS_4G : RT_MEMORY_HBM;
GELOGI("memory_type: %u", memory_type);

GE_CHK_STATUS_RET_NOLOG(davinci_model->GetLabelGotoAddr(label_index, memory_type, args_, args_size_));

rtError_t rt_ret = rtMalloc(&index_value_, sizeof(uint64_t), memory_type);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtMalloc failed, error: %#x", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}
label_ = label_list[label_index];

GELOGI("LabelGotoExTaskInfo Init Success, label id:%u, label:%p.", label_index, label_);
uint64_t branch_index = 0;
rt_ret = rtMemcpy(index_value_, sizeof(uint64_t), &branch_index, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rtMemcpy failed, error: %#x", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
}

GELOGI("LabelGotoExTaskInfo Init Success, label id:%u", label_index);
return SUCCESS;
}

Status LabelGotoExTaskInfo::Distribute() {
GELOGI("LabelGotoExTaskInfo Distribute Start.");
rtError_t rt_ret = rtLabelGotoEx(label_, stream_);
GE_CHECK_NOTNULL(args_);
GE_CHECK_NOTNULL(index_value_);
if (args_size_ == 0) {
GELOGE(PARAM_INVALID, "branch max: %u, args size: %u invalid.", kGotoBranchMax, args_size_);
return PARAM_INVALID;
}

rtError_t rt_ret = rtLabelSwitchByIndex(index_value_, kGotoBranchMax, args_, stream_);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);


+ 8
- 6
ge/graph/load/model_manager/task_info/label_goto_ex_task_info.h View File

@@ -14,24 +14,26 @@
* limitations under the License.
*/

#ifndef GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_GOTO_EX_TASK_INFO_H_
#define GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_GOTO_EX_TASK_INFO_H_
#ifndef GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_GOTO_EX_TASK_INFO_H_
#define GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_GOTO_EX_TASK_INFO_H_

#include "graph/load/model_manager/task_info/task_info.h"

namespace ge {
class LabelGotoExTaskInfo : public TaskInfo {
public:
LabelGotoExTaskInfo() : label_(nullptr) {}
LabelGotoExTaskInfo() = default;

~LabelGotoExTaskInfo() override { label_ = nullptr; }
~LabelGotoExTaskInfo() override;

Status Init(const domi::TaskDef &task_def, DavinciModel *davinci_model) override;

Status Distribute() override;

private:
void *label_;
void *index_value_{nullptr}; // switch index input.
void *args_{nullptr}; // label info memory.
uint32_t args_size_{0}; // label info length.
};
} // namespace ge
#endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_GOTO_EX_TASK_INFO_H_
#endif // GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_GOTO_EX_TASK_INFO_H_

+ 3
- 3
ge/graph/load/model_manager/task_info/label_set_task_info.h View File

@@ -14,8 +14,8 @@
* limitations under the License.
*/

#ifndef GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_SET_TASK_INFO_H_
#define GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_SET_TASK_INFO_H_
#ifndef GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_SET_TASK_INFO_H_
#define GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_SET_TASK_INFO_H_

#include "graph/load/model_manager/task_info/task_info.h"

@@ -34,4 +34,4 @@ class LabelSetTaskInfo : public TaskInfo {
void *label_;
};
} // namespace ge
#endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_SET_TASK_INFO_H_
#endif // GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_SET_TASK_INFO_H_

+ 8
- 16
ge/graph/load/model_manager/task_info/label_switch_by_index_task_info.cc View File

@@ -16,20 +16,13 @@

#include "graph/load/model_manager/task_info/label_switch_by_index_task_info.h"

#include "graph/debug/ge_attr_define.h"
#include "graph/load/model_manager/davinci_model.h"

namespace ge {
constexpr uint8_t kLabelSwitchIndexNum = 1;

LabelSwitchByIndexTaskInfo::~LabelSwitchByIndexTaskInfo() {
if (args_ != nullptr) {
rtError_t ret = rtFree(args_);
if (ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", ret);
}
}
args_ = nullptr;
GE_FREE_RT_LOG(args_);
index_value_ = nullptr;
}

@@ -37,13 +30,12 @@ Status LabelSwitchByIndexTaskInfo::Init(const domi::TaskDef &task_def, DavinciMo
GELOGI("LabelSwitchByIndexTaskInfo Init Start.");
GE_CHECK_NOTNULL(davinci_model);

const vector<rtLabel_t> &label_list = davinci_model->GetLabelList();
Status ret = SetStream(task_def.stream_id(), davinci_model->GetStreamList());
if (ret != SUCCESS) {
return FAILED;
}

// Get LabelSwitch task def
// Get LabelSwitchByIndex task def
const domi::LabelSwitchByIndexDef &label_switch = task_def.label_switch_by_index();
OpDescPtr op_desc = davinci_model->GetOpByIndex(label_switch.op_index());
if (op_desc == nullptr) {
@@ -68,7 +60,7 @@ Status LabelSwitchByIndexTaskInfo::Init(const domi::TaskDef &task_def, DavinciMo

davinci_model->DisableZeroCopy(index_value_);

std::vector<uint32_t> label_idx_list;
vector<uint32_t> label_idx_list;
if (!AttrUtils::GetListInt(op_desc, ATTR_NAME_LABEL_SWITCH_LIST, label_idx_list)) {
GELOGE(INTERNAL_ERROR, "LabelSwitchByIndexTaskInfo: %s Get attr %s failed.", op_desc->GetName().c_str(),
ATTR_NAME_LABEL_SWITCH_LIST.c_str());
@@ -81,7 +73,8 @@ Status LabelSwitchByIndexTaskInfo::Init(const domi::TaskDef &task_def, DavinciMo
return INTERNAL_ERROR;
}

label_list_.resize(branch_max_, nullptr);
vector<rtLabel_t> label_used(branch_max_, nullptr);
const vector<rtLabel_t> &label_list = davinci_model->GetLabelList();
for (size_t idx = 0; idx < label_idx_list.size(); ++idx) {
uint32_t label_id = label_idx_list[idx];
if (label_id >= label_list.size()) {
@@ -90,8 +83,7 @@ Status LabelSwitchByIndexTaskInfo::Init(const domi::TaskDef &task_def, DavinciMo
return INTERNAL_ERROR;
}
GE_CHECK_NOTNULL(label_list[label_id]);

label_list_[idx] = label_list[label_id];
label_used[idx] = label_list[label_id];
}

rtMemType_t memory_type = op_desc->HasAttr(ATTR_NAME_MEMORY_TYPE_RANGE) ? RT_MEMORY_TS_4G : RT_MEMORY_HBM;
@@ -103,7 +95,7 @@ Status LabelSwitchByIndexTaskInfo::Init(const domi::TaskDef &task_def, DavinciMo
return RT_ERROR_TO_GE_STATUS(rt_ret);
}

rt_ret = rtLabelListCpy(label_list_.data(), label_list_.size(), args_, args_size_);
rt_ret = rtLabelListCpy(label_used.data(), label_used.size(), args_, args_size_);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
@@ -125,7 +117,7 @@ Status LabelSwitchByIndexTaskInfo::Distribute() {
rtError_t rt_ret = rtLabelSwitchByIndex(index_value_, branch_max_, args_, stream_);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return RT_FAILED;
return RT_ERROR_TO_GE_STATUS(rt_ret);
}

GELOGI("LabelSwitchByIndexTaskInfo Distribute Success.");


+ 9
- 11
ge/graph/load/model_manager/task_info/label_switch_by_index_task_info.h View File

@@ -14,16 +14,15 @@
* limitations under the License.
*/

#ifndef GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_SWITCH_BY_INDEX_TASK_INFO_H_
#define GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_SWITCH_BY_INDEX_TASK_INFO_H_
#ifndef GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_SWITCH_BY_INDEX_TASK_INFO_H_
#define GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_SWITCH_BY_INDEX_TASK_INFO_H_

#include "graph/load/model_manager/task_info/task_info.h"

namespace ge {
class LabelSwitchByIndexTaskInfo : public TaskInfo {
public:
LabelSwitchByIndexTaskInfo()
: index_value_(nullptr), branch_max_(0), args_(nullptr), args_size_(0), fixed_addr_offset_(0) {}
LabelSwitchByIndexTaskInfo() = default;

~LabelSwitchByIndexTaskInfo() override;

@@ -34,12 +33,11 @@ class LabelSwitchByIndexTaskInfo : public TaskInfo {
Status CalculateArgs(const domi::TaskDef &task_def, DavinciModel *davinci_model) override;

private:
void *index_value_; // switch index input.
uint32_t branch_max_; // max branch count.
void *args_; // label info memory.
uint32_t args_size_; // label info length.
std::vector<rtLabel_t> label_list_;
int64_t fixed_addr_offset_;
void *index_value_{nullptr}; // switch index input.
uint32_t branch_max_{0}; // max branch count.
void *args_{nullptr}; // label info memory.
uint32_t args_size_{0}; // label info length.
int64_t fixed_addr_offset_{0};
};
} // namespace ge
#endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_LABEL_SWITCH_BY_INDEX_TASK_INFO_H_
#endif // GE_GRAPH_LOAD_MODEL_MANAGER_TASK_INFO_LABEL_SWITCH_BY_INDEX_TASK_INFO_H_

+ 40
- 31
ge/graph/manager/graph_caching_allocator.cc View File

@@ -40,7 +40,7 @@ static bool BlockComparator(const Block *left, const Block *right) {
}

bool CanMerge(Block *block) {
if (block == nullptr || block->allocated || !block->IsSplit()) {
if ((block == nullptr) || block->allocated || !block->IsSplit()) {
return false;
}
return true;
@@ -52,7 +52,7 @@ size_t GetBinIndex(size_t size) {
if (size <= range) {
break;
}
++index;
index++;
}
if (index > kNumBins - 1) {
index = kNumBins - 1;
@@ -87,15 +87,15 @@ bool ShouldSplit(const Block *block, size_t size) {

void IncreaseCount(std::map<size_t, size_t> &count, size_t size) {
auto it = count.find(size);
if (it != count.end()) {
it->second++;
} else {
if (it == count.end()) {
count.emplace(size, 1);
} else {
it->second++;
}
}

CachingAllocator::CachingAllocator(rtMemType_t memory_type) : memory_type_(memory_type), memory_allocator_(nullptr) {
for (uint32_t i = 0; i < kNumBins; ++i) {
for (uint32_t i = 0; i < kNumBins; i++) {
free_block_bins_[i] = nullptr;
}
}
@@ -105,7 +105,7 @@ Status CachingAllocator::Initialize(uint32_t device_id) {
// when redo Initialize free old memory
FreeBlocks();
std::lock_guard<std::recursive_mutex> lock(mutex_);
for (uint32_t i = 0; i < kNumBins; ++i) {
for (uint32_t i = 0; i < kNumBins; i++) {
if (free_block_bins_[i] != nullptr) {
continue;
}
@@ -132,18 +132,18 @@ void CachingAllocator::Finalize(uint32_t device_id) {

uint8_t *CachingAllocator::Malloc(size_t size, uint8_t *org_ptr, uint32_t device_id) {
GELOGI("Start malloc pool memory, size = %zu, device id = %u", size, device_id);
uint8_t *ptr = nullptr;
size = GetBlockSize(size);
uint8_t *ptr = nullptr;
Block *block = FindFreeBlock(size, org_ptr, device_id);
if (block != nullptr) {
ptr = block->ptr;
} else {
if (block == nullptr) {
if (ge::SUCCESS == TryExtendCache(size, device_id)) {
block = FindFreeBlock(size, org_ptr, device_id);
if (block != nullptr) {
ptr = block->ptr;
}
}
} else {
ptr = block->ptr;
}
if (ptr == nullptr) {
GELOGE(FAILED, "Malloc failed device id = %u, size= %zu", device_id, size);
@@ -171,7 +171,7 @@ Status CachingAllocator::Free(uint8_t *ptr, uint32_t device_id) {
}

void CachingAllocator::FreeBlock(Block *block) {
if (block == nullptr || !block->allocated) {
if ((block == nullptr) || !block->allocated) {
return;
}
GELOGI("Free block size = %zu", block->size);
@@ -187,7 +187,7 @@ void CachingAllocator::FreeBlock(Block *block) {
}

void CachingAllocator::MergeBlocks(Block *dst, Block *src, BlockBin &bin) {
if (!CanMerge(dst) || !CanMerge(src)) {
if (!CanMerge(src) || !CanMerge(dst)) {
return;
}

@@ -316,7 +316,7 @@ size_t CachingAllocator::FreeCachedBlocks() {
GELOGI("Free cached blocks");
std::lock_guard<std::recursive_mutex> lock(mutex_);
size_t free_cached_memory_size = 0;
for (uint32_t i = 0; i < kNumBins; ++i) {
for (uint32_t i = 0; i < kNumBins; i++) {
auto pool = free_block_bins_[i];
if (pool == nullptr) {
continue;
@@ -324,7 +324,8 @@ size_t CachingAllocator::FreeCachedBlocks() {
for (auto it = pool->begin(); it != pool->end();) {
Block *block = *it;
// free block memory that has not been split
if ((block != nullptr) && (block->ptr != nullptr) && (block->prev == nullptr) && (block->next == nullptr) &&
if ((block != nullptr) && (block->ptr != nullptr) &&
(block->prev == nullptr) && (block->next == nullptr) &&
(memory_allocator_->FreeMemory(block->ptr) == ge::SUCCESS)) {
auto itcount = malloced_memory_.find(block->size);
free_cached_memory_size += block->size;
@@ -345,7 +346,7 @@ size_t CachingAllocator::FreeCachedBlocks() {
}

void CachingAllocator::FreeBlocks() {
GELOGI("Free blocks");
GELOGI("Free blocks.");
std::lock_guard<std::recursive_mutex> lock(mutex_);
// free allocated blocks and put to cache
for (auto &it : allocated_blocks_) {
@@ -355,10 +356,18 @@ void CachingAllocator::FreeBlocks() {
(void) FreeCachedBlocks();
}

void CachingAllocator::TryFreeBlocks() {
GELOGI("Try free blocks.");
std::lock_guard<std::recursive_mutex> lock(mutex_);
if (allocated_blocks_.empty()) {
(void) FreeCachedBlocks();
}
}

void CachingAllocator::FreeBlockBins() {
GELOGI("Free block bins");
GELOGI("Free block bins.");
std::lock_guard<std::recursive_mutex> lock(mutex_);
for (uint32_t i = 0; i < kNumBins; ++i) {
for (uint32_t i = 0; i < kNumBins; i++) {
if (free_block_bins_[i] != nullptr) {
delete free_block_bins_[i];
free_block_bins_[i] = nullptr;
@@ -367,9 +376,9 @@ void CachingAllocator::FreeBlockBins() {
}

void PrintCount(std::map<size_t, size_t> &count, const std::string &name, size_t total_size, size_t total_count) {
GELOGI("%6s total[size:%10zu count:%10zu]", name.c_str(), total_size, total_count);
GELOGI("%6s total[size:%10zu count:%10zu].", name.c_str(), total_size, total_count);
for (auto &it : count) {
GELOGI(" |- block[size:%10zu count:%10zu]", it.first, it.second);
GELOGI(" |- block[size:%10zu count:%10zu].", it.first, it.second);
}
}

@@ -383,20 +392,20 @@ void CachingAllocator::PrintStatics() {
size_t total_free_count = 0;
size_t total_malloc_size = 0;
size_t total_malloc_count = 0;
std::map<size_t, size_t> using_block;
std::map<size_t, size_t> free_block;
std::map<size_t, size_t> malloc_block;
std::map<size_t, size_t> using_block_stat;
std::map<size_t, size_t> free_block_stat;
std::map<size_t, size_t> malloc_block_stat;
do {
std::lock_guard<std::recursive_mutex> lock(mutex_);
for (uint32_t i = 0; i < kNumBins; ++i) {
for (uint32_t i = 0; i < kNumBins; i++) {
auto pool = free_block_bins_[i];
if (pool == nullptr) {
continue;
}
for (auto it = pool->begin(); it != pool->end(); ++it) {
for (auto it = pool->begin(); it != pool->end(); it++) {
if ((*it) != nullptr) {
total_free_size += (*it)->size;
IncreaseCount(free_block, (*it)->size);
IncreaseCount(free_block_stat, (*it)->size);
total_free_count++;
}
}
@@ -405,7 +414,7 @@ void CachingAllocator::PrintStatics() {
for (auto &it : allocated_blocks_) {
if (it.second != nullptr) {
total_using_size += it.second->size;
IncreaseCount(using_block, it.second->size);
IncreaseCount(using_block_stat, it.second->size);
total_using_count++;
}
}
@@ -413,12 +422,12 @@ void CachingAllocator::PrintStatics() {
for (auto &it : malloced_memory_) {
total_malloc_size += it.first * it.second;
total_malloc_count += it.second;
malloc_block[it.first] = it.second;
malloc_block_stat[it.first] = it.second;
}
} while (0);

PrintCount(malloc_block, "Malloc", total_malloc_size, total_malloc_count);
PrintCount(using_block, "Using", total_using_size, total_using_count);
PrintCount(free_block, "Free", total_free_size, total_free_count);
PrintCount(malloc_block_stat, "Malloc", total_malloc_size, total_malloc_count);
PrintCount(using_block_stat, "Using", total_using_size, total_using_count);
PrintCount(free_block_stat, "Free", total_free_size, total_free_count);
}
} // namespace ge

+ 7
- 0
ge/graph/manager/graph_caching_allocator.h View File

@@ -94,6 +94,13 @@ class CachingAllocator {
///
Status Free(uint8_t *memory_addr, uint32_t device_id = 0);

///
/// @ingroup ge_graph
/// @brief try to free memory when no memory is referenced
/// @return void
///
void TryFreeBlocks();

private:

///


+ 376
- 152
ge/graph/manager/graph_manager.cc View File

@@ -117,6 +117,10 @@ const char *const kAIcoreEngine = "AIcoreEngine";
const int32_t kDynamicDimsTypeIsGetNext = 0;
const int32_t kDynamicDimsTypeIsData = 1;
const char *const kGetNextName = "IteratorV2";
const uint32_t kInitGraphCount = 1;
const uint32_t kNotAdded = 0;
const uint32_t kStartAdd = 1;
const uint32_t kDoneAdded = 2;

bool IsTailingOptimization() {
string is_tailing_optimization_option;
@@ -195,6 +199,8 @@ Status GraphManager::Initialize(const std::map<string, string> &options) {

graph_map_.clear();
cache_helper_map_.clear();
graph_id_to_add_graph_cond_.clear();
graph_count_.clear();
init_flag_ = true;

thread_run_flag_ = true;
@@ -204,6 +210,20 @@ Status GraphManager::Initialize(const std::map<string, string> &options) {
return SUCCESS;
}

Status GraphManager::UnloadModel(GeRootModelPtr ge_root_model, uint32_t graph_id) {
Status ret = SUCCESS;
for (size_t i = 0; i < ge_root_model->GetAllModelId().size(); ++i) {
uint32_t model_id = ge_root_model->GetAllModelId()[i];
GELOGI("Unload model %u.", model_id);
ret = GraphLoader::UnloadModel(model_id);
if (ret != SUCCESS) {
GELOGW("[GraphManager] unload model failed, modelId=%u, graphId=%u.", model_id, graph_id);
return ret;
}
}
return ret;
}

Status GraphManager::Finalize() {
if (!init_flag_) {
GELOGW("GraphManager has not been initialized.");
@@ -234,7 +254,6 @@ Status GraphManager::Finalize() {
unload_model_ret = GE_GRAPH_GRAPH_IS_RUNNING;
continue;
}

// unload model
auto ge_root_model = graph_node->GetGeRootModel();
if (ge_root_model != nullptr && ge_root_model->GetModelId() != INVALID_MODEL_ID && graph_node->GetLoadFlag()) {
@@ -244,15 +263,14 @@ Status GraphManager::Finalize() {
unload_model_ret = FAILED;
continue;
}
ret = GraphLoader::UnloadModel(ge_root_model->GetModelId());
ret = UnloadModel(ge_root_model, iter->first);
if (ret != SUCCESS) {
GELOGW("[GraphManager] unload model failed, modelId=%u, graphId=%u.", ge_root_model->GetModelId(), iter->first);
GELOGW("[GraphManager] unload model failed, graph_id=%u.", iter->first);
unload_model_ret = ret;
}
rt_ret = rtDeviceReset(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
GELOGW("[GraphManager] rtDeviceReset failed, modelId=%u, graphId=%u.", ge_root_model->GetModelId(),
iter->first);
GELOGW("[GraphManager] rtDeviceReset failed, graphId=%u.", iter->first);
unload_model_ret = FAILED;
continue;
}
@@ -267,6 +285,7 @@ Status GraphManager::Finalize() {
}
graph_map_.clear();
cache_helper_map_.clear();
graph_count_.clear();

// graph context
if (graph_context_ != nullptr) {
@@ -317,30 +336,59 @@ Status GraphManager::InitDynamicParams(ComputeGraphPtr &compute_graph) {
return SUCCESS;
}

Status GraphManager::AddGraph(const GraphId &graph_id, const Graph &graph,
const std::map<std::string, std::string> &options,
const OmgContext &omg_context) {
if (HasGraphNode(graph_id)) {
GELOGE(GE_GRAPH_GRAPH_ALREADY_EXIST, "[GraphManager] graph exists, graph_id = %u.", graph_id);
return GE_GRAPH_GRAPH_ALREADY_EXIST;
void GraphManager::SetAddGraphCondition(GraphId graph_id, uint32_t cond) {
std::lock_guard<std::mutex> lock(add_graph_cond_mutex_);
graph_id_to_add_graph_cond_[graph_id] = cond;
GELOGD("Graph [id:%u] has been added.", graph_id);
}

uint32_t GraphManager::GetAddGraphCondition(GraphId graph_id) {
std::lock_guard<std::mutex> lock(add_graph_cond_mutex_);
auto it = graph_id_to_add_graph_cond_.find(graph_id);
if (it != graph_id_to_add_graph_cond_.end()) {
return it->second;
} else {
GELOGD("Graph [id:%u] has not been added.", graph_id);
return kNotAdded;
}
}

auto compute_graph = GraphUtils::GetComputeGraph(graph);
if (compute_graph != nullptr) {
compute_graph->SetGraphID(graph_id);
bool graph_has_been_added = false;
if (AttrUtils::GetBool(*compute_graph, ATTR_NAME_GRAPH_HAS_BEEN_ADDED, graph_has_been_added)
&& graph_has_been_added) {
GELOGE(GE_GRAPH_GRAPH_ALREADY_EXIST,
"[GraphManager] same graph object can not be added again, graph_id = %u.", graph_id);
return GE_GRAPH_GRAPH_ALREADY_EXIST;
}
(void)AttrUtils::SetBool(*compute_graph, ATTR_NAME_GRAPH_HAS_BEEN_ADDED, true);
compute_graph_ = compute_graph;
void GraphManager::RemoveAddGraphCondition(GraphId graph_id) {
std::lock_guard<std::mutex> lock(add_graph_cond_mutex_);
auto it = graph_id_to_add_graph_cond_.find(graph_id);
if (it != graph_id_to_add_graph_cond_.end()) {
graph_id_to_add_graph_cond_.erase(it);
GELOGD("Successfully removed add_graph_cond of graph [id:%u].", graph_id);
} else {
GELOGE(FAILED, "compute graph is null");
return FAILED;
GELOGD("Graph [id:%u] has not been added. no need to remove.", graph_id);
}
}

Status GraphManager::CheckRepeatAdd(uint32_t graph_id, bool &is_added) {
uint32_t count = 0;
if (GetGraphCount(graph_id, count) != SUCCESS) {
GELOGE(INTERNAL_ERROR, "Get graph [id:%u] count failed, graph might have not been added.", graph_id);
return INTERNAL_ERROR;
}
// previous thread owns same graph_id has been in the middle of the AddGraph procession
if (count > 1 && GetAddGraphCondition(graph_id) == kStartAdd) {
std::unique_lock<std::mutex> lock(add_graph_mutex_);
GELOGD("Waitting for build end of previous thread.");
while (GetAddGraphCondition(graph_id) != kDoneAdded) {
add_graph_cv_.wait(lock);
}
GraphNodePtr graph_node;
Status ret = GetGraphNode(graph_id, graph_node);
if (ret != SUCCESS) {
GELOGE(ret, "[AddGraph] GetGraphNode failed, graph_id = %u.", graph_id);
return ret;
}
is_added = true;
}
return SUCCESS;
}

void GraphManager::SetSessionGraphId(ComputeGraphPtr compute_graph, uint32_t graph_id) {
std::string session_graph_id;
if (!AttrUtils::GetStr(*compute_graph, ATTR_NAME_SESSION_GRAPH_ID, session_graph_id) || session_graph_id.empty()) {
session_graph_id = "-1_" + to_string(graph_id);
@@ -352,17 +400,92 @@ Status GraphManager::AddGraph(const GraphId &graph_id, const Graph &graph,
}
GELOGD("Get graph session_graph_id attr failed, set session id to default value: [0]");
}
}

Status GraphManager::NotifyWaittingGraph(uint32_t graph_id) {
uint32_t count = 0;
if (GetGraphCount(graph_id, count) != SUCCESS) {
GELOGE(INTERNAL_ERROR, "Get graph [id:%u] count failed, graph might have not been added.", graph_id);
return INTERNAL_ERROR;
}
GELOGD("Add graph finished, graph_id:%u", graph_id);
if (count > 1) {
GELOGD("Finish addgraph, graph_id:%u, graph_count:%u, start to notify.", graph_id, count);
add_graph_cv_.notify_all();
}
return SUCCESS;
}

Status GraphManager::CreateGraphNode(uint32_t graph_id, const Graph &graph,
const std::map<std::string, std::string> &options) {
GraphNodePtr graph_node = MakeShared<ge::GraphNode>(graph_id);
GE_IF_BOOL_EXEC(graph_node == nullptr, GELOGE(FAILED, "GraphNode make shared failed");
return FAILED);
std::shared_ptr<Graph> graph_ptr = MakeShared<ge::Graph>(graph);
GE_IF_BOOL_EXEC(graph_ptr == nullptr, GELOGE(FAILED, "GraphPtr make shared failed");
return FAILED);

// update option about tuning graph
ParseOption(options, BUILD_MODE, options_.build_mode);
ParseOption(options, BUILD_STEP, options_.build_step);
ParseOption(options, TUNING_PATH, options_.tuning_path);
graph_node->SetGraph(graph_ptr);
graph_node->SetOptions(options);
graph_node->IncreaseLoadCount();
AddGraphNode(graph_id, graph_node);
return SUCCESS;
}

Status GraphManager::SetStagesOptions(uint32_t graph_id, const GraphManagerOptions &options) {
CompilerStages &stages = GetCompilerStages(graph_id);
stages.preparer.SetOptions(options_);
Status status = stages.optimizer.SetOptions(options_);
if (status != SUCCESS) {
GELOGE(status, "Graph optimizer set options failed.");
return status;
}
stages.builder.SetOptions(options_);
return SUCCESS;
}

Status GraphManager::AddGraph(const GraphId &graph_id, const Graph &graph,
const std::map<std::string, std::string> &options,
const OmgContext &omg_context) {
IncreaseGraphCount(graph_id);
// validation for adding graphs of same graph_id in multi-thread secenario
// 1.previous thread owns same graph_id has finished the AddGraph procession
if (GetAddGraphCondition(graph_id) == kDoneAdded) {
GraphNodePtr graph_node;
if (GetGraphNode(graph_id, graph_node) != SUCCESS) {
GELOGE(GE_GRAPH_GRAPH_NOT_EXIST, "Graph not exist while done adding previously, graph_id = %u.", graph_id);
return GE_GRAPH_GRAPH_NOT_EXIST;
}
graph_node->IncreaseLoadCount();
return SUCCESS;
}
// In multi-thread scenario, former thread owns same graph_id has been
// in the middle of the AddGraph procession while following threads have to wait until
// done adding graph of the former graph, avoiding repeatively adding same graph.
bool is_added = false;
if (CheckRepeatAdd(graph_id, is_added) != SUCCESS) {
GELOGE(INTERNAL_ERROR, "CheckRepeatAdd for graph[id:%u] failed.", graph_id);
return INTERNAL_ERROR;
}
// The former graph (from different thread) owns same graph id has been successfully added.
if (is_added) {
return SUCCESS;
}
// Do add graph
SetAddGraphCondition(graph_id, kStartAdd);
auto compute_graph = GraphUtils::GetComputeGraph(graph);
GE_CHECK_NOTNULL(compute_graph);
compute_graph->SetGraphID(graph_id);

SetSessionGraphId(compute_graph, graph_id);

if (CreateGraphNode(graph_id, graph, options) != SUCCESS) {
GELOGE(FAILED, "Failed to create graph_node.");
return FAILED;
}

AddLocalOmgContext(graph_id, omg_context);
if (!options_.output_datatype.empty()) {
@@ -373,16 +496,18 @@ Status GraphManager::AddGraph(const GraphId &graph_id, const Graph &graph,
return GRAPH_PARAM_INVALID;
}

CompilerStages &stages = GetCompilerStages(graph_id);
stages.preparer.SetOptions(options_);
Status status = stages.optimizer.SetOptions(options_);
if (status != SUCCESS) {
GELOGE(status, "Graph optimizer set options failed.");
return status;
if (SetStagesOptions(graph_id, options_) != SUCCESS) {
GELOGE(INTERNAL_ERROR, "Set stage options failed.");
return INTERNAL_ERROR;
}
stages.builder.SetOptions(options_);

var_acc_ctrl_.AddGraph(graph_id, compute_graph);
SetAddGraphCondition(graph_id, kDoneAdded);
// There are threads waitting for adding same graph
if (NotifyWaittingGraph(graph_id) != SUCCESS) {
GELOGE(INTERNAL_ERROR, "NotifyWaittingGraph failed.");
return INTERNAL_ERROR;
}
return SUCCESS;
}

@@ -433,6 +558,10 @@ Status GraphManager::AddGraphWithCopy(const GraphId &graph_id, const Graph &grap
GELOGE(FAILED, "GraphPtr make shared failed");
return FAILED;
}
// update option about tuning graph
ParseOption(options, BUILD_MODE, options_.build_mode);
ParseOption(options, BUILD_STEP, options_.build_step);
ParseOption(options, TUNING_PATH, options_.tuning_path);

graph_node->SetGraph(graph_ptr);
graph_node->SetOptions(options);
@@ -888,6 +1017,7 @@ Status GraphManager::StartForRunGraph(const GraphNodePtr &graph_node, const std:
if (!graph_node->IsAsync()) {
ret = LoadGraph(ge_root_model, graph_node);
} else {
GE_CHECK_NOTNULL(ge_root_model);
ret = LoadGraphAsync(ge_root_model, graph_node);
}
if (ret != SUCCESS) {
@@ -902,6 +1032,7 @@ Status GraphManager::StartForRunGraph(const GraphNodePtr &graph_node, const std:
if (!graph_node->IsAsync()) {
ret = LoadGraph(ge_root_model_ptr, graph_node);
} else {
GE_CHECK_NOTNULL(ge_root_model);
ret = LoadGraphAsync(ge_root_model_ptr, graph_node);
}
if (ret != SUCCESS) {
@@ -914,6 +1045,7 @@ Status GraphManager::StartForRunGraph(const GraphNodePtr &graph_node, const std:
Status GraphManager::LoadGraph(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node) {
GELOGI("[LoadGraph] run_graph_flag[%d], graph_id[%u]", options_.run_graph_flag, graph_node->GetGraphId());
if (options_.run_graph_flag && ge_root_model != nullptr) {
ge_root_model->SetTrainFlag(GetTrainFlag());
// synchronization run graph with model
std::shared_ptr<GraphModelListener> model_listener = GetModelListener();
ModelIdInfo model_id_info;
@@ -1308,54 +1440,29 @@ bool GraphManager::CheckModelLoad(const GeRootModelPtr &ge_root_model, bool load
}

Status GraphManager::RemoveGraph(const GraphId &graph_id) {
auto it = to_be_deleted_graphs_.find(graph_id);
if (it != to_be_deleted_graphs_.end()) {
to_be_deleted_graphs_.erase(it);
}
GraphNodePtr graph_node = nullptr;
Status ret = GetGraphNode(graph_id, graph_node);
if (ret != SUCCESS) {
if (ret != SUCCESS || graph_node == nullptr) {
REPORT_INNER_ERROR("E19999", "Graph:%u not exist in graph_map, check invalid when GraphManager %s",
graph_id, __FUNCTION__);
GELOGE(GE_GRAPH_GRAPH_NOT_EXIST, "[GraphManager] Id %u does not exists.", graph_id);
return GE_GRAPH_GRAPH_NOT_EXIST;
}

if ((graph_node == nullptr) || (graph_node->GetRunFlag())) {
GELOGE(GE_GRAPH_GRAPH_IS_RUNNING, "[GraphManager] Id %u is running, can't be deleted.", graph_id);
return GE_GRAPH_GRAPH_IS_RUNNING;
if (graph_node->GetRunFlag()) {
// only put graph into to-be-deleted list when exceptional scenario
to_be_deleted_graphs_.insert(graph_id);
GELOGI("[GraphManager] Trying to remove running graph[Id:%u], added into to_be_deleted_graphs_.", graph_id);
return SUCCESS;
}

std::lock_guard<std::mutex> lock(unload_model_mutex_);

Status middle_ret;
rtError_t rt_ret;
const std::vector<SubGraphInfoPtr> &all_sub_graph = graph_node->GetAllSubGraph();
for (size_t i = 0; i < all_sub_graph.size(); ++i) {
// must free buffer firstly
middle_ret = all_sub_graph[i]->FreeInOutBuffer();
if (middle_ret != SUCCESS) {
GELOGE(middle_ret, "[GraphManager] RemoveGraph free mem failed, graph_id=%u.", graph_id);
ret = middle_ret;
}
if (all_sub_graph[i]->GeModelIsValid() && all_sub_graph[i]->GetModelIdInfo().model_id != INVALID_MODEL_ID) {
// unload model
GELOGI("UnloadModel via new ome.");
rt_ret = rtSetDevice(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "[GraphManager:] rtSetDevice failed, modelId=%u, graphId=%u.",
all_sub_graph[i]->GetModelIdInfo().model_id, graph_id);
ret = FAILED;
continue;
}
middle_ret = GraphLoader::UnloadModel(all_sub_graph[i]->GetModelIdInfo().model_id);
if (middle_ret != SUCCESS) {
GELOGE(middle_ret, "[GraphManager:] unload model failed, modelId=%u, graph_id=%u.",
all_sub_graph[i]->GetModelIdInfo().model_id, graph_id);
ret = middle_ret;
}
rt_ret = rtDeviceReset(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "[GraphManager:] unload model failed, modelId=%u, graphId=%u.",
all_sub_graph[i]->GetModelIdInfo().model_id, graph_id);
ret = FAILED;
}
}
}
var_acc_ctrl_.RemoveGraph(graph_id);
RemoveGraphNode(graph_id);

@@ -1363,28 +1470,33 @@ Status GraphManager::RemoveGraph(const GraphId &graph_id) {

auto ge_root_model = graph_node->GetGeRootModel();
if (CheckModelLoad(ge_root_model, graph_node->GetLoadFlag())) {
GELOGI("Unload model %u.", ge_root_model->GetModelId());
rt_ret = rtSetDevice(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "[GraphManager:] rtSetDevice failed, modelId=%u, graphId=%u.", ge_root_model->GetModelId(),
graph_id);
return FAILED;
}
middle_ret = GraphLoader::UnloadModel(ge_root_model->GetModelId());
// same graph may be added for several times, different models were created separately,
// unload them respectively.
middle_ret = UnloadModel(ge_root_model, graph_id);
if (middle_ret != SUCCESS) {
GELOGE(middle_ret, "[GraphManager:] unload model failed, modelId=%u, graph_id=%u.", ge_root_model->GetModelId(),
graph_id);
REPORT_INNER_ERROR("E19999", "UnloadModel for graph:%u failed, check unload detail in GraphLoader %s",
graph_id, __FUNCTION__);
GELOGE(middle_ret, "[GraphManager:] unload model failed, graph_id=%u.", graph_id);
ret = middle_ret;
}
rt_ret = rtDeviceReset(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "[GraphManager:] rtDeviceReset failed, modelId=%u, graphId=%u.", ge_root_model->GetModelId(),
graph_id);
REPORT_CALL_ERROR("E19999", "Call rtDeviceReset failed, device_id:%u, graph_id:%u, when GraphManager %s",
GetContext().DeviceId(), graph_id, __FUNCTION__);
GELOGE(RT_FAILED, "[GraphManager:] rtDeviceReset failed, graphId=%u.", graph_id);
ret = FAILED;
}
}

RemoveCompilerStages(graph_id);
RemoveGraphCount(graph_id);
RemoveAddGraphCondition(graph_id);

GE_CHK_STATUS_RET(ret, "[GraphManager:] Remove graph failed, graph_id=%u.", graph_id);
GELOGI("[GraphManager] remove graph success, graph_id=%u.", graph_id);
@@ -1466,6 +1578,10 @@ Status GraphManager::ParseOptions(const std::map<std::string, std::string> &opti
GE_IF_BOOL_EXEC(ret != SUCCESS,
GELOGE(GE_GRAPH_OPTIONS_INVALID, "Key:ge.compressFlag value is invalid, must be 0 or 1.");
return GE_GRAPH_OPTIONS_INVALID);
// Set Build model and step
ParseOption(options, BUILD_MODE, options_.build_mode);
ParseOption(options, BUILD_STEP, options_.build_step);
ParseOption(options, BUILD_STEP, options_.tuning_path);

// ge.graphType.
options_.run_graph_flag = true;
@@ -1514,10 +1630,6 @@ Status GraphManager::ParseOptions(const std::map<std::string, std::string> &opti
GELOGD("Dynamic dims params: input shape is %s, dynamic dims is %s, dynamic node type is %d",
options_.input_shape.c_str(), options_.dynamic_dims.c_str(), options_.dynamic_node_type);

// Set Build model and step
ParseOption(options, BUILD_MODE, options_.build_mode);
ParseOption(options, BUILD_STEP, options_.build_step);

return SUCCESS;
}

@@ -1549,6 +1661,7 @@ void GraphManager::ParseOption(const std::map<std::string, std::string> &options
std::string &option) {
auto iter = options.find(key);
if (iter != options.end()) {
GELOGD("Set option %s from value %s to value%s", key.c_str(), option.c_str(), iter->second.c_str());
option = iter->second;
}
}
@@ -2401,6 +2514,7 @@ void GraphManager::ChangeConstTypeWhenTraining(const ComputeGraphPtr &compute_gr
Status GraphManager::LoadGraphAsync(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node) {
GELOGI("[LoadGraphAsync] run_graph_flag[%d], graph_id[%u]", options_.run_graph_flag, graph_node->GetGraphId());
if (options_.run_graph_flag && ge_root_model != nullptr) {
ge_root_model->SetTrainFlag(GetTrainFlag());
// synchronization run graph with model
ModelIdInfo model_id_info;
bool is_unknown_shape = false;
@@ -2417,9 +2531,9 @@ Status GraphManager::LoadGraphAsync(const GeRootModelPtr &ge_root_model, const G
}
}
GE_TIMESTAMP_START(LoadGraph);
GE_CHECK_NOTNULL(graph_node->graph_run_async_listener_);
Status ret =
GraphLoader::LoadModelOnline(model_id_info.model_id, ge_root_model, graph_node->graph_run_async_listener_);
auto listener = MakeShared<RunAsyncListener>();
GE_CHECK_NOTNULL(listener);
Status ret = GraphLoader::LoadModelOnline(model_id_info.model_id, ge_root_model, listener);
GE_TIMESTAMP_EVENT_END(LoadGraph, "GraphManager::LoadGraphAsync");
if (ret != SUCCESS) {
GELOGE(ret, "[LoadGraphAsync] LoadGraphAsync Failed");
@@ -2433,6 +2547,52 @@ Status GraphManager::LoadGraphAsync(const GeRootModelPtr &ge_root_model, const G
return SUCCESS;
}

void GraphManager::ReleaseMemory(const GeModelPtr &ge_model, GraphNodePtr &graph_node,
const std::vector<uint32_t> &model_ids, uint32_t graph_id, uint64_t session_id) {
rtError_t rt_ret = rtSetDevice(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtSetDevice failed, device_id:%u, when GraphManager %s",
GetContext().DeviceId(), __FUNCTION__);
GELOGE(RT_FAILED, "[GraphManager:] rtSetDevice failed, graphId=%u.", graph_id);
return;
}
for (auto model_id : model_ids) {
uint64_t max_memory_size = 0;
Status result = GraphLoader::GetMaxUsedMemory(model_id, max_memory_size);
if (result != SUCCESS) {
continue;
}
GELOGI("CheckAndReleaseMemory try to UnloadGraph[%u], model[%u] which MaxUsedMemory[%lu].", graph_id, model_id,
max_memory_size);
if (model_ids.size() > 1) {
result = ge_model->GetSessionId(model_id, session_id);
if (result != SUCCESS) {
GELOGW("[GraphManager:] get session failed when dynamic memory, modelId=%u, graphId=%u.", model_id,
graph_id);
continue;
}
}
result = GraphLoader::DestroyAicpuKernel(session_id, model_id, 0);
if (result != SUCCESS) {
GELOGW("[GraphManager:] destroy aicpu kernel failed when dynamic memory, modelId=%u, graphId=%u.", model_id,
graph_id);
}
result = GraphLoader::UnloadModel(model_id);
if (result != SUCCESS) {
GELOGW("[GraphManager:] unload model failed, modelId=%u, graphId=%u.", model_id, graph_id);
}
GELOGI("CheckAndReleaseMemory UnloadGraph[%u], model[%u] success.", graph_id, model_id);
}
graph_node->SetLoadFlag(false);
rt_ret = rtDeviceReset(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
REPORT_CALL_ERROR("E19999", "Call rtDeviceReset failed, device_id:%u, when GraphManager %s",
GetContext().DeviceId(), __FUNCTION__);
GELOGE(RT_FAILED, "[GraphManager:] rtDeviceReset failed, graphId=%u.", graph_id);
return;
}
}

Status GraphManager::CheckAndReleaseMemory(const GeModelPtr &ge_model, const GraphNodePtr &graph_node) {
GELOGI("CheckAndReleaseMemory graph_id[%u]", graph_node->GetGraphId());
int64_t value = 0;
@@ -2476,6 +2636,7 @@ Status GraphManager::CheckAndReleaseMemory(const GeModelPtr &ge_model, const Gra
continue;
}
auto model_id = model->GetModelId();
auto model_ids = model->GetAllModelId();
// unload model not release
bool is_unknown_shape = false;
GE_CHK_STATUS_RET(model->CheckIsUnknownShape(is_unknown_shape));
@@ -2488,34 +2649,7 @@ Status GraphManager::CheckAndReleaseMemory(const GeModelPtr &ge_model, const Gra
GELOGI("CheckAndReleaseMemory graph[%u] has not been loaded.", graph_id);
continue;
}
uint64_t max_memory_size = 0;
result = GraphLoader::GetMaxUsedMemory(model_id, max_memory_size);
if (result != SUCCESS) {
continue;
}
GELOGI("CheckAndReleaseMemory try to UnloadGraph[%u], model[%u] which MaxUsedMemory[%lu].", graph_id, model_id,
max_memory_size);
rtError_t rt_ret = rtSetDevice(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "[GraphManager:] rtSetDevice failed, modelId=%u, graphId=%u.", model_id, graph_id);
continue;
}
result = GraphLoader::DestroyAicpuKernel(session_id, model_id, 0);
if (result != SUCCESS) {
GELOGW("[GraphManager:] destroy aicpu kernel failed when dynamic memory, modelId=%u, graphId=%u.", model_id,
graph_id);
}
result = GraphLoader::UnloadModel(model_id);
if (result != SUCCESS) {
GELOGW("[GraphManager:] unload model failed, modelId=%u, graphId=%u.", model_id, graph_id);
}
rt_ret = rtDeviceReset(GetContext().DeviceId());
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "[GraphManager:] rtDeviceReset failed, modelId=%u, graphId=%u.", model_id, graph_id);
continue;
}
it.second->SetLoadFlag(false);
GELOGI("CheckAndReleaseMemory UnloadGraph[%u], model[%u] success and set LoadFlag to false.", graph_id, model_id);
ReleaseMemory(ge_model, it.second, model_ids, graph_id, session_id);
}

return SUCCESS;
@@ -2651,6 +2785,38 @@ void GraphManager::ConstructGeInput(const vector<InputTensorInfo> &inputs, vecto
}
}

Status GraphManager::CheckIncreBuildAndPreRun(GraphManager *graph_manager, const PreRunArgs &args,
GraphNodePtr &graph_node, GeRootModelPtr &ge_root_model) {
if (!graph_manager->IsGraphNeedBuild(graph_node)) {
ge_root_model = graph_node->GetGeRootModel();
return SUCCESS;
}
if (graph_node->GetBuildFlag()) {
ReturnError(graph_manager, args.callback, PARAM_INVALID,
"The graph " + std::to_string(graph_node->GetGraphId()) +
" need to re-build, you should remove it"
" from GE first, then AddGraph again and rebuild it.");
graph_node->Unlock();
return PARAM_INVALID;
}
// check need incre build.
GeModelPtr ge_model = nullptr;
if (graph_manager->IncreBuild(graph_node, ge_model) != SUCCESS) {
std::vector<GeTensor> ge_inputs;
ConstructGeInput(args.input_tensor, ge_inputs);
Status ret = graph_manager->PreRun(graph_node, ge_inputs, ge_root_model, args.session_id);
// release rts generate context
RtContextUtil::GetInstance().DestroyRtContexts(args.session_id, graph_node->GetGraphId());
if (ret != SUCCESS) {
ReturnError(graph_manager, args.callback, ret, "PreRun Failed.");
return ret;
}
}
graph_node->SetBuildFlag(true);
graph_manager->var_acc_ctrl_.SetGraphBuildEnd(graph_node->GetGraphId());
return SUCCESS;
}

void GraphManager::PreRunThread(GraphManager *graph_manager) {
if (prctl(PR_SET_NAME, ("GE_PreRun")) != 0) {
GELOGW("Set thread name failed.");
@@ -2663,7 +2829,7 @@ void GraphManager::PreRunThread(GraphManager *graph_manager) {
continue;
}

GELOGI("A new loop start.");
GELOGI("[PreRunThread] A new loop start, graph_id:%u.", args.graph_id);

ErrorManager::GetInstance().SetErrorContext(args.error_context);
ErrorManager::GetInstance().SetStage(ErrorMessage::kModelCompile, ErrorMessage::kOther);
@@ -2679,7 +2845,24 @@ void GraphManager::PreRunThread(GraphManager *graph_manager) {
"[RunGraph] graph not exist, graph_id=" + std::to_string(args.graph_id));
return;
}

// more than one graph owns same graph_id
uint32_t count = 0;
if (graph_manager->GetGraphCount(args.graph_id, count) != SUCCESS) {
GELOGE(INTERNAL_ERROR, "Get graph [id:%u] count failed.", args.graph_id);
return;
}
// Avoid repeatively prerun for graphs owns same graph_id in online inference concurrency
if (count > 1 && graph_node->GetBuildFlag()) {
graph_node->Lock();
GELOGD("Avoid repeatively prerun, graph_id:%u.", args.graph_id);
// In online inference concurrency senario, graph_node is allowed to be locked for 'count' times
graph_node->SetSemSize(count);
graph_manager->run_args_q_.Push(RunArgs( { graph_node, args.graph_id, args.session_id, args.error_context,
args.input_tensor, graph_node->GetGeRootModel(), GetThreadLocalContext(), args.callback }));
GELOGI("[PreRunThread] Loop end. Start to run with cached build model.");
continue;
}
// Cannot be put ahead of the repeatively prerun judgement
graph_node->Lock();

if (graph_node->GetRunFlag()) {
@@ -2711,46 +2894,24 @@ void GraphManager::PreRunThread(GraphManager *graph_manager) {
// it will not execute graph preprocess, optimize, parition, build if the graph has built successful.
GELOGI("Start for run graph async.");
GeRootModelPtr ge_root_model = nullptr;
if (graph_manager->IsGraphNeedBuild(graph_node)) {
if (graph_node->GetBuildFlag()) {
ReturnError(graph_manager, args.callback, PARAM_INVALID,
"The graph " + std::to_string(graph_node->GetGraphId()) +
" need to re-build, you should remove it"
" from GE first, then AddGraph again and rebuild it.");
ret = CheckIncreBuildAndPreRun(graph_manager, args, graph_node, ge_root_model);
if (ret != SUCCESS) {
graph_node->SetRunFlag(false);
if (!ge::Analyzer::GetInstance()->IsEnableNetAnalyzeDebug()) {
ReturnError(graph_manager, args.callback, ret, "CheckIncreBuildAndPreRun Failed, thread exit..");
graph_node->Unlock();
return;
} else {
ReturnError(graph_manager, graph_node, args.callback, ret,
"CheckIncreBuildAndPreRun Failed, keep geop continue!");
graph_node->Unlock();
continue;
}

// check need incre build.
GeModelPtr ge_model = nullptr;
if (graph_manager->IncreBuild(graph_node, ge_model) != SUCCESS) {
std::vector<GeTensor> ge_inputs;
ConstructGeInput(args.input_tensor, ge_inputs);
ret = graph_manager->PreRun(graph_node, ge_inputs, ge_root_model, args.session_id);
// release rts generate context
RtContextUtil::GetInstance().DestroyRtContexts(args.session_id, graph_node->GetGraphId());
if (ret != SUCCESS) {
graph_node->SetRunFlag(false);
if (!ge::Analyzer::GetInstance()->IsEnableNetAnalyzeDebug()) {
ReturnError(graph_manager, args.callback, ret, "PreRun Failed, thread exit..");
graph_node->Unlock();
return;
} else {
ReturnError(graph_manager, graph_node, args.callback, ret, "PreRun Failed, keep geop continue!");
graph_node->Unlock();
continue;
}
}
}
graph_node->SetBuildFlag(true);
graph_manager->var_acc_ctrl_.SetGraphBuildEnd(graph_node->GetGraphId());
} else {
ge_root_model = graph_node->GetGeRootModel();
}

graph_manager->run_args_q_.Push(RunArgs( { graph_node, args.graph_id, args.session_id, args.error_context,
args.input_tensor, ge_root_model, GetThreadLocalContext(), args.callback }));
GELOGI("Loop end.");
GELOGI("[PreRunThread] Loop end.");
}
}

@@ -2847,16 +3008,13 @@ void GraphManager::RunThread(GraphManager *graph_manager) {
continue;
}

GELOGI("A new loop start.");
GELOGI("[RunThread] A new loop start, graph_id:%u.", args.graph_id);

ErrorManager::GetInstance().SetErrorContext(args.error_context);
GetContext().SetSessionId(args.session_id);
GetThreadLocalContext() = args.context;
graph_manager->UpdateLocalOmgContext(args.graph_id);

if (args.graph_node->graph_run_async_listener_ != nullptr) {
args.graph_node->graph_run_async_listener_->SetCallback(args.callback);
}
Status ret;
// parse inputs.dims to vector<vector<uint64_t>> dynamic_dims
ret = graph_manager->ParseInputsDims(args.input_tensor);
@@ -2866,8 +3024,10 @@ void GraphManager::RunThread(GraphManager *graph_manager) {
return;
}

args.graph_node->UpdateLoadFlag();
if (!args.graph_node->GetLoadFlag()) {
ErrorManager::GetInstance().SetStage(ErrorMessage::kModelLoad, ErrorMessage::kModelLoad);
args.ge_root_model->SetTrainFlag(graph_manager->GetTrainFlag());
ret = graph_manager->LoadGraphAsync(args.ge_root_model, args.graph_node);
if (ret != SUCCESS || args.ge_root_model == nullptr) {
StopQueue(graph_manager);
@@ -2875,6 +3035,10 @@ void GraphManager::RunThread(GraphManager *graph_manager) {
args.graph_node->Unlock();
return;
}
// control the times of graph loading in multi-thread scenario
args.graph_node->DecreaseLoadCount();
args.graph_node->IncreaseLoadRecord();

args.graph_node->SetLoadFlag(true);
GELOGI("LoadGraph[%u], model[%u] success and set LoadFlag to true.", args.graph_node->GetGraphId(),
args.ge_root_model->GetModelId());
@@ -2890,7 +3054,7 @@ void GraphManager::RunThread(GraphManager *graph_manager) {
}

ret = graph_manager->graph_executor_.ExecuteGraphAsync(args.graph_id, args.graph_node->GetGeRootModel(),
args.input_tensor);
args.input_tensor, args.callback);
args.graph_node->SetRunFlag(false);
if (ret != SUCCESS) {
ReturnError(graph_manager, args.callback, ret, "ExecuteGraphAsync failed, thread exit.");
@@ -3132,6 +3296,21 @@ Status GraphManager::ConvertGraphToFile(ComputeGraphPtr &compute_graph, GraphPar
non_tuning_subgraphs.push_back(sub_graph_tmp);
}
}
// for function graphs to tune
for (auto &function_graph : compute_graph->GetAllSubgraphs()) {
auto subgraph_list = sub_graph_map[function_graph];
for (const auto &sub_graph_info_ptr : subgraph_list) {
GE_CHECK_NOTNULL(sub_graph_info_ptr);
ComputeGraphPtr sub_graph_tmp = sub_graph_info_ptr->GetSubGraph();
// need to tuning
if (sub_graph_info_ptr->GetEngineName() == kVectorEngine ||
sub_graph_info_ptr->GetEngineName() == kAIcoreEngine) {
tuning_subgraphs.push_back(sub_graph_tmp);
} else {
non_tuning_subgraphs.push_back(sub_graph_tmp);
}
}
}
return TuningUtils::ConvertGraphToFile(tuning_subgraphs, non_tuning_subgraphs, exe_flag, path);
}

@@ -3291,4 +3470,49 @@ void GraphManager::RemoveCompilerStages(GraphId graph_id) {
std::lock_guard<std::mutex> lock(member_mutex_);
compiler_stages_.erase(graph_id);
}

void GraphManager::IncreaseGraphCount(GraphId graph_id) {
std::lock_guard<std::mutex> lock(graph_count_mutex_);
auto it = graph_count_.find(graph_id);
if (it == graph_count_.end()) {
graph_count_.insert({graph_id, kInitGraphCount});
GELOGD("After increaseGraphCount, graph count of id[%u] is %u.", graph_id, graph_count_[graph_id]);
} else {
++graph_count_[graph_id];
GELOGD("After increaseGraphCount, graph count of id[%u] is %u.", graph_id, graph_count_[graph_id]);
}
}

void GraphManager::RemoveGraphCount(GraphId graph_id) {
std::lock_guard<std::mutex> lock(graph_count_mutex_);
auto it = graph_count_.find(graph_id);
if (it == graph_count_.end()) {
GELOGW("Graph of id: %u has not been added, count cannot be decreased.", graph_id);
} else {
GELOGD("RemoveGraphCount success, graph count of id[%u] is %u.", graph_id, graph_count_[graph_id]);
graph_count_.erase(it);
}
}

void GraphManager::DecreaseGraphCount(GraphId graph_id) {
std::lock_guard<std::mutex> lock(graph_count_mutex_);
auto it = graph_count_.find(graph_id);
if (it == graph_count_.end()) {
GELOGW("Graph of id: %u has not been added, count cannot be decreased.", graph_id);
} else {
--it->second;
GELOGD("After DecreaseGraphCount, graph count of id[%u] is %u.", graph_id, graph_count_[graph_id]);
}
}

Status GraphManager::GetGraphCount(GraphId graph_id, uint32_t &count) {
std::lock_guard<std::mutex> lock(graph_count_mutex_);
auto it = graph_count_.find(graph_id);
if (it == graph_count_.end()) {
GELOGW("Graph [id:%u] has not been added.", graph_id);
return FAILED;
}
count = it->second;
return SUCCESS;
}
} // namespace ge

+ 42
- 0
ge/graph/manager/graph_manager.h View File

@@ -184,6 +184,20 @@ class GraphManager {

Status SaveCheckPointResult(const Graph &graph, const std::vector<Tensor> &outputs, map<string, Tensor> &var_results);

void RemoveGraphCount(GraphId graph_id);

void IncreaseGraphCount(GraphId graph_id);

void DecreaseGraphCount(GraphId graph_id);

Status GetGraphCount(GraphId graph_id, uint32_t &count);

void SetAddGraphCondition(GraphId graph_id, uint32_t cond);

uint32_t GetAddGraphCondition(GraphId graph_id);

void RemoveAddGraphCondition(GraphId graph_id);

private:
struct CompilerStages {
GraphPrepare preparer;
@@ -380,6 +394,24 @@ class GraphManager {
CompilerStages &GetCompilerStages(GraphId graph_id);
void RemoveCompilerStages(GraphId graph_id);

static Status CheckIncreBuildAndPreRun(GraphManager *graph_manager, const PreRunArgs &args, GraphNodePtr &graph_node,
GeRootModelPtr &ge_root_model);

void ReleaseMemory(const GeModelPtr &ge_model, GraphNodePtr &graph_node, const std::vector<uint32_t> &model_ids,
uint32_t graph_id, uint64_t session_id);

Status CheckRepeatAdd(uint32_t graph_id, bool &is_added);

Status NotifyWaittingGraph(uint32_t graph_id);

Status CreateGraphNode(uint32_t graph_id, const Graph &graph, const std::map<std::string, std::string> &options);

Status SetStagesOptions(uint32_t graph_id, const GraphManagerOptions &options);

Status UnloadModel(GeRootModelPtr ge_root_model, uint32_t graph_id);

void SetSessionGraphId(ComputeGraphPtr compute_graph, uint32_t graph_id);

std::atomic_bool thread_run_flag_;
BlockingQueue<PreRunArgs> prerun_args_q_{};
BlockingQueue<RunArgs> run_args_q_{};
@@ -415,6 +447,16 @@ class GraphManager {

std::mutex member_mutex_;
std::mutex unload_model_mutex_;
// avoid repeatively add same graph (owns same graph id)
std::mutex add_graph_mutex_;
std::mutex add_graph_cond_mutex_;
std::condition_variable add_graph_cv_;

std::map<GraphId, uint32_t> graph_id_to_add_graph_cond_;
// use for multi-thread online-infer scenario
std::set<GraphId> to_be_deleted_graphs_;
std::map<GraphId, uint32_t> graph_count_;
std::mutex graph_count_mutex_;
};
} // namespace ge



+ 9
- 0
ge/graph/manager/graph_manager_utils.cc View File

@@ -60,6 +60,15 @@ void GraphNode::Unlock() {
sem_.Pop(unused);
}

void GraphNode::IncreaseLoadCount() {
std::unique_lock<std::mutex> lock(load_count_mu_);
if (load_record_ == kMaxLoadNum) {
GELOGW("Reach the maximum of load_count:%u", kMaxLoadNum);
return;
}
++load_count_;
}

SubGraphInfo::SubGraphInfo() : subgraph_ptr_(nullptr), ge_model_ptr_(nullptr), malloc_flag_(false) {}

SubGraphInfo::~SubGraphInfo() {


+ 19
- 1
ge/graph/manager/graph_manager_utils.h View File

@@ -55,6 +55,7 @@ using ConstGraphPtr = std::shared_ptr<const ge::Graph>;
using GraphPtr = std::shared_ptr<ge::Graph>;

const uint64_t INVALID_SESSION_ID = 0xffffffffffffffffULL;
const uint32_t kMaxLoadNum = 8;

struct ModelIdInfo {
uint32_t model_id{INVALID_MODEL_ID};
@@ -162,6 +163,8 @@ class GraphNode {
bool GetBuildFlag() const { return build_flag_; }
void SetBuildFlag(bool buildFlag) { build_flag_ = buildFlag; }
bool GetLoadFlag() const { return load_flag_; }
// allow repeatively load graph owns same graph id
void UpdateLoadFlag() { load_flag_ = load_count_ == 0 || load_record_ >= kMaxLoadNum; }
void SetLoadFlag(bool load_flag) { load_flag_ = load_flag; }
void SetGeModel(const GeModelPtr &ge_model) { ge_model_ = ge_model; }
GeModelPtr GetGeModel() const { return ge_model_; }
@@ -172,6 +175,13 @@ class GraphNode {
void Lock();
void Unlock();

void SetSemSize(uint32_t size) { sem_.SetMaxSize(size); }

uint32_t GetLoadCount() const { return load_count_; }
void IncreaseLoadCount();
void DecreaseLoadCount() { --load_count_; }
void IncreaseLoadRecord() { ++load_record_; }

// run graph asynchronous listener
std::shared_ptr<RunAsyncListener> graph_run_async_listener_;

@@ -184,11 +194,17 @@ class GraphNode {
GraphPtr graph_;
ComputeGraphPtr compute_graph_;
bool build_flag_;
// load_flag_ is true if more than 1 model were loaded
bool load_flag_;
bool async_;
GeModelPtr ge_model_;
GeRootModelPtr ge_root_model_;
BlockingQueue<uint8_t> sem_;
// consist with graph_count of same graph_id in graph_manager
uint32_t load_count_ = 0;
// total times of loading a graph with same graph_id.
uint32_t load_record_ = 0;
std::mutex load_count_mu_;
};

using GraphNodePtr = std::shared_ptr<GraphNode>;
@@ -249,6 +265,7 @@ struct GraphManagerOptions {
std::string save_original_model;
std::string build_mode;
std::string build_step;
std::string tuning_path;
std::string input_shape;
std::string dynamic_dims;
int32_t dynamic_node_type = -1;
@@ -275,7 +292,8 @@ struct GraphManagerOptions {
is_single_op(false),
save_original_model("false"),
build_mode(""),
build_step("") {}
build_step(""),
tuning_path(""){}
};
} // namespace ge



+ 11
- 7
ge/graph/manager/graph_var_manager.cc View File

@@ -347,14 +347,18 @@ ge::Status VarManager::Init(const uint32_t &version, const uint64_t &session_id,
const uint64_t &job_id) {
std::lock_guard<std::recursive_mutex> lock(mutex_);
GELOGI("VarManager::Init, session id = %lu.", session_id);
version_ = version;
device_id_ = device_id;
session_id_ = session_id;
job_id_ = job_id;
var_resource_ = std::unique_ptr<VarResource>(new (std::nothrow) VarResource(session_id_));
if (var_resource_ == nullptr) {
GELOGW("VarManager has not been init.");
return ge::INTERNAL_ERROR;
version_ = version;
device_id_ = device_id;
session_id_ = session_id;
job_id_ = job_id;
var_resource_ = std::unique_ptr<VarResource>(new (std::nothrow) VarResource(session_id_));
if (var_resource_ == nullptr) {
GELOGW("VarManager init failed session id = %lu.", session_id);
return ge::INTERNAL_ERROR;
}
} else {
GELOGW("VarManager::has been inited, session id = %lu.", session_id);
}
return SUCCESS;
}


+ 39
- 6
ge/graph/passes/atomic_addr_clean_pass.cc View File

@@ -126,11 +126,11 @@ bool AtomicAddrCleanPass::IsOutputIndexPeerInputAtomic(const NodePtr &node, int6

bool AtomicAddrCleanPass::CheckSkipInsertInLoopGraph(const NodePtr &node) {
OpDescPtr op_desc = node->GetOpDesc();
std::map<string, std::map<int, int>> node_workspace_offset;
std::map<string, std::map<int64_t, int64_t>> atomic_workspace_index_size;
bool has_atomic_input = op_desc->HasAttr(ATOMIC_ATTR_INPUT_INDEX);
bool has_atomic_output = op_desc->HasAttr(ATOMIC_ATTR_OUTPUT_INDEX);
node_workspace_offset = op_desc->TryGetExtAttr(EXT_ATTR_ATOMIC_WORKSPACE_OFFSET, node_workspace_offset);
if (!has_atomic_input && has_atomic_output && node_workspace_offset.empty()) {
atomic_workspace_index_size = op_desc->TryGetExtAttr(EXT_ATTR_ATOMIC_WORKSPACE_INFO, atomic_workspace_index_size);
if (!has_atomic_input && has_atomic_output && atomic_workspace_index_size.empty()) {
std::vector<int64_t> atomic_output_index;
(void) ge::AttrUtils::GetListInt(op_desc, ATOMIC_ATTR_OUTPUT_INDEX, atomic_output_index);
bool is_all_output_peer_also_atomic = true;
@@ -222,6 +222,39 @@ Status AtomicAddrCleanPass::HandleNormalGraph(ComputeGraphPtr &graph, const vect
}
}
}
return LinkToPotentialPrecedenceNode(graph, clean_addr_node);
}

// Add control edges from atomic clean node to all potential precedence nodes which may execute before atomic clean
// node. We hope that atomic clean node can execute with the highest priority in the entire graph. Because of stream
// concurrency mechanism, only placing it at the head can not ensure that priority. Therefore, we need to add control
// edges from atomic clean node to the nodes that may be the first node on each stream. Generally, the first nodes on
// each stream are successors of Data/Variable, and Data/Variable won't generate task or execute, so we link to the
// successors of Data/Variable.
Status AtomicAddrCleanPass::LinkToPotentialPrecedenceNode(ComputeGraphPtr &graph, NodePtr &atomic_clean_node) {
GELOGD("Start to add control edges from %s to all second-nodes behind first-nodes which have no input.",
atomic_clean_node->GetName().c_str());
auto out_ctrl_anchor = atomic_clean_node->GetOutControlAnchor();
GE_CHECK_NOTNULL(out_ctrl_anchor);

for (const auto &node : graph->GetDirectNode()) {
GE_CHECK_NOTNULL(node);
bool need_handle = (node->GetType() == DATA || node->GetType() == VARIABLE) && node->GetInAllNodes().empty();
if (!need_handle) {
continue;
}
auto second_nodes = node->GetOutAllNodes();
for (const auto &second_node : second_nodes) {
GE_CHECK_NOTNULL(second_node);
auto in_ctrl_anchor = second_node->GetInControlAnchor();
GE_CHECK_NOTNULL(in_ctrl_anchor);
if (!out_ctrl_anchor->IsLinkedWith(in_ctrl_anchor)) {
GE_CHK_STATUS_RET(out_ctrl_anchor->LinkTo(in_ctrl_anchor));
GELOGD("Add control edge from %s to %s.", atomic_clean_node->GetName().c_str(), second_node->GetName().c_str());
}
}
}

return SUCCESS;
}

@@ -332,11 +365,11 @@ bool AtomicAddrCleanPass::IsAtomicOp(const NodePtr &node) {
}

// 2.Check atomic attr in node
std::map<string, std::map<int, int>> node_workspace_offset;
std::map<string, std::map<int64_t, int64_t>> atomic_workspace_index_size;
bool has_atomic_input = op_desc->HasAttr(ATOMIC_ATTR_INPUT_INDEX);
bool has_atomic_output = op_desc->HasAttr(ATOMIC_ATTR_OUTPUT_INDEX);
node_workspace_offset = op_desc->TryGetExtAttr(EXT_ATTR_ATOMIC_WORKSPACE_OFFSET, node_workspace_offset);
if (!has_atomic_input && !has_atomic_output && node_workspace_offset.empty()) {
atomic_workspace_index_size = op_desc->TryGetExtAttr(EXT_ATTR_ATOMIC_WORKSPACE_INFO, atomic_workspace_index_size);
if (!has_atomic_input && !has_atomic_output && atomic_workspace_index_size.empty()) {
return false;
}



+ 8
- 0
ge/graph/passes/atomic_addr_clean_pass.h View File

@@ -68,6 +68,14 @@ class AtomicAddrCleanPass : public GraphPass {
Status LinkToAtomicNode(const NodePtr &atomic_node, NodePtr &atomic_clean_node);

/**
* Link atomic clean node to all potential precedence nodes which may execute before atomic clean node
* @param graph
* @param atomic_clean_node
* @return
*/
Status LinkToPotentialPrecedenceNode(ComputeGraphPtr &graph, NodePtr &atomic_clean_node);

/**
* Check if this node is atomic op.
* @param node
* @return


+ 0
- 1
ge/graph/passes/attach_stream_label_pass.cc View File

@@ -137,7 +137,6 @@ Status AttachStreamLabelPass::AttachFlag(const NodePtr &node, std::string &strea
return INTERNAL_ERROR;
}
stream_label = node->GetInDataNodes().at(0)->GetName();
GE_CHK_STATUS_RET(SetStreamLabel(node, stream_label), "Set stream label failed.");
bool value = false;
OpDescPtr op_desc = node->GetOpDesc();
GE_CHECK_NOTNULL(op_desc);


+ 61
- 42
ge/graph/passes/base_pass.cc View File

@@ -30,8 +30,15 @@ constexpr int kMaxRePassTimes = 10000;
constexpr size_t kMaxOneInNodes = 1000;
// Each iteration, we take about 0.3k memory on the stack, we should change the recursion to loop later
constexpr int kMaxRecursiveDepth = 20;
struct DuringPassNodeSets {
std::unordered_set<Node *> nodes_seen;
std::unordered_set<NodePtr> nodes_deleted;
std::unordered_set<NodePtr> nodes_re_pass;
std::unordered_set<NodePtr> nodes_re_pass_immediately;
std::unordered_set<NodePtr> nodes_last;
};

void GetAllNodesNoInputEdge(const ComputeGraphPtr &graph, std::queue<NodePtr> &input_edge_nodes,
void GetAllNodesNoInputEdge(const ComputeGraphPtr &graph, std::deque<NodePtr> &input_edge_nodes,
std::unordered_set<Node *> &nodes_seen, std::unordered_set<NodePtr> &nodes_last) {
nodes_last.clear();
for (auto &node : graph->GetDirectNode()) {
@@ -40,7 +47,7 @@ void GetAllNodesNoInputEdge(const ComputeGraphPtr &graph, std::queue<NodePtr> &i
}
size_t in_nums = node->GetInNodes().size();
if (in_nums == 0) {
input_edge_nodes.push(node);
input_edge_nodes.push_back(node);
nodes_seen.insert(node.get());
} else if (in_nums > kMaxOneInNodes) {
nodes_last.insert(node);
@@ -48,7 +55,7 @@ void GetAllNodesNoInputEdge(const ComputeGraphPtr &graph, std::queue<NodePtr> &i
}
}

void AddNextIterNodes(const Node::Vistor<NodePtr> &nodes, std::queue<NodePtr> &nodes_to_pass,
void AddNextIterNodes(const Node::Vistor<NodePtr> &nodes, std::deque<NodePtr> &nodes_to_pass,
std::unordered_set<Node *> &nodes_seen, std::unordered_set<NodePtr> &nodes_last) {
for (auto &node : nodes) {
if (node == nullptr) {
@@ -60,13 +67,30 @@ void AddNextIterNodes(const Node::Vistor<NodePtr> &nodes, std::queue<NodePtr> &n

bool all_in_nodes_seen = node->IsAllInNodesSeen(nodes_seen);
if (all_in_nodes_seen && nodes_seen.insert(node.get()).second) {
nodes_to_pass.push(node);
nodes_to_pass.push_back(node);
}
}
}

Status RunPasses(NodePtr &node, const NamesToPass &names_to_passes, std::unordered_set<NodePtr> &nodes_re_pass,
std::unordered_set<NodePtr> &nodes_deleted, std::unordered_set<Node *> &nodes_seen) {
void PushToRePassIfSeen(NodePtr &node, const std::pair<std::string, BaseNodePass *> &name_to_pass,
std::unordered_set<Node *> &nodes_seen, std::unordered_set<NodePtr> &nodes_to_re_pass,
std::unordered_set<NodePtr> &nodes_re_pass) {
for (const auto &node_to_re_pass : nodes_to_re_pass) {
if (node_to_re_pass == nullptr) {
GELOGW("Found null re-pass node when executing %s on node %s type %s", name_to_pass.first.c_str(),
node->GetName().c_str(), node->GetType().c_str());
continue;
}
if (nodes_seen.count(node_to_re_pass.get()) > 0 || node_to_re_pass->IsAllInNodesSeen(nodes_seen)) {
GELOGD("The node %s will be re-pass.", node_to_re_pass->GetName().c_str());
nodes_re_pass.insert(node_to_re_pass);
} else {
GELOGD("The node %s are not all seen, don't set repass this time", node_to_re_pass->GetName().c_str());
}
}
}

Status RunPasses(NodePtr &node, const NamesToPass &names_to_passes, DuringPassNodeSets &during_pass_node_set) {
if (node == nullptr) {
GELOGE(FAILED, "parameter is null.");
return FAILED;
@@ -90,22 +114,15 @@ Status RunPasses(NodePtr &node, const NamesToPass &names_to_passes, std::unorder
}

auto nodes_to_re_pass = name_to_pass.second->GetNodesNeedRePass();
for (const auto &node_to_re_pass : nodes_to_re_pass) {
if (node_to_re_pass == nullptr) {
GELOGW("Found null re-pass node when executing %s on node %s type %s", name_to_pass.first.c_str(),
node->GetName().c_str(), node->GetType().c_str());
continue;
}
if (nodes_seen.count(node_to_re_pass.get()) > 0 || node_to_re_pass->IsAllInNodesSeen(nodes_seen)) {
GELOGD("The node %s will be re-pass later", node_to_re_pass->GetName().c_str());
nodes_re_pass.insert(node_to_re_pass);
} else {
GELOGD("The node %s are not all seen, don't set repass this time", node_to_re_pass->GetName().c_str());
}
}
PushToRePassIfSeen(node, name_to_pass, during_pass_node_set.nodes_seen, nodes_to_re_pass,
during_pass_node_set.nodes_re_pass);

auto nodes_to_re_pass_immediately = name_to_pass.second->GetNodesNeedRePassImmediately();
PushToRePassIfSeen(node, name_to_pass, during_pass_node_set.nodes_seen, nodes_to_re_pass_immediately,
during_pass_node_set.nodes_re_pass_immediately);

auto nodes_deleted_by_pass = name_to_pass.second->GetNodesDeleted();
nodes_deleted.insert(nodes_deleted_by_pass.begin(), nodes_deleted_by_pass.end());
during_pass_node_set.nodes_deleted.insert(nodes_deleted_by_pass.begin(), nodes_deleted_by_pass.end());
if (nodes_deleted_by_pass.count(node) > 0) {
GELOGD("The node %s was deleted by pass %s, stop the remain passes", node->GetName().c_str(),
name_to_pass.first.c_str());
@@ -181,36 +198,33 @@ Status GEPass::Run(const NamesToPass &names_to_passes) {

Status GEPass::RunPassesOneGraph(const NamesToPass &names_to_passes) {
GELOGD("Begin to run pass on graph, passes count %zu", names_to_passes.size());
std::queue<NodePtr> nodes;
std::unordered_set<Node *> nodes_seen;
std::unordered_set<NodePtr> nodes_deleted;
std::unordered_set<NodePtr> nodes_re_pass;
std::unordered_set<NodePtr> nodes_last;
GetAllNodesNoInputEdge(graph_, nodes, nodes_seen, nodes_last);
std::deque<NodePtr> nodes;
DuringPassNodeSets during_pass_node_set;
GetAllNodesNoInputEdge(graph_, nodes, during_pass_node_set.nodes_seen, during_pass_node_set.nodes_last);
GELOGD("Start points count %zu", nodes.size());
int re_pass_times = 0;

do {
for (auto &node : nodes_re_pass) {
nodes.push(node);
nodes_seen.insert(node.get());
for (auto &node : during_pass_node_set.nodes_re_pass) {
nodes.push_back(node);
during_pass_node_set.nodes_seen.insert(node.get());
}
nodes_re_pass.clear();
during_pass_node_set.nodes_re_pass.clear();

while (!nodes.empty()) {
NodePtr node = nodes.front();
nodes.pop();
nodes.pop_front();

(void)nodes_re_pass.erase(node);
(void)during_pass_node_set.nodes_re_pass.erase(node);
GE_IF_BOOL_EXEC(node == nullptr, GELOGW("node is null"); continue);
if (nodes_deleted.count(node) > 0) {
if (during_pass_node_set.nodes_deleted.count(node) > 0) {
GELOGD("The node %s was deleted before, skip it.", node->GetName().c_str());
continue;
}

AddNextIterNodes(node->GetOutNodes(), nodes, nodes_seen, nodes_last);
AddNextIterNodes(node->GetOutNodes(), nodes, during_pass_node_set.nodes_seen, during_pass_node_set.nodes_last);

auto ret = RunPasses(node, names_to_passes, nodes_re_pass, nodes_deleted, nodes_seen);
auto ret = RunPasses(node, names_to_passes, during_pass_node_set);
if (ret != SUCCESS) {
GELOGE(ret, "Failed to process passes on node %s type %s, error code: %u",
node->GetName().c_str(), node->GetType().c_str(), ret);
@@ -227,7 +241,7 @@ Status GEPass::RunPassesOneGraph(const NamesToPass &names_to_passes) {
if (has_sub_graph) {
GELOGD("There are subgraphs on node %s, run passes for for the second time", node->GetName().c_str());
SetFlagOption(kOptimizeAfterSubGraph, names_to_passes);
ret = RunPasses(node, names_to_passes, nodes_re_pass, nodes_deleted, nodes_seen);
ret = RunPasses(node, names_to_passes, during_pass_node_set);
if (ret != SUCCESS) {
GELOGE(ret, "Failed to process passes on node %s type %s, error code: %u",
node->GetName().c_str(), node->GetType().c_str(), ret);
@@ -239,16 +253,21 @@ Status GEPass::RunPassesOneGraph(const NamesToPass &names_to_passes) {
// should be called each time at the begin of the iteration
ClearOption(names_to_passes);
}
for (const auto &node : during_pass_node_set.nodes_re_pass_immediately) {
GELOGD("The node %s will be re-pass immediately.", node->GetName().c_str());
nodes.push_front(node);
}
during_pass_node_set.nodes_re_pass_immediately.clear();
}

for (auto &node : nodes_last) {
bool all_in_nodes_seen = node->IsAllInNodesSeen(nodes_seen);
if (all_in_nodes_seen && nodes_seen.insert(node.get()).second) {
nodes.push(node);
for (auto &node : during_pass_node_set.nodes_last) {
bool all_in_nodes_seen = node->IsAllInNodesSeen(during_pass_node_set.nodes_seen);
if (all_in_nodes_seen && during_pass_node_set.nodes_seen.insert(node.get()).second) {
nodes.push_back(node);
}
}
nodes_last.clear();
} while ((!nodes_re_pass.empty() || !nodes.empty()) && ++re_pass_times < kMaxRePassTimes);
during_pass_node_set.nodes_last.clear();
} while ((!during_pass_node_set.nodes_re_pass.empty() || !nodes.empty()) && ++re_pass_times < kMaxRePassTimes);

if (re_pass_times == kMaxRePassTimes) {
GELOGW("re_pass_times should not come to %d", kMaxRePassTimes);


+ 12
- 0
ge/graph/passes/base_pass.h View File

@@ -53,6 +53,8 @@ class BaseNodePass {

std::unordered_set<NodePtr> GetNodesNeedRePass() { return nodes_need_re_pass_; }

std::unordered_set<NodePtr> GetNodesNeedRePassImmediately() { return nodes_need_re_pass_immediately_; }

std::unordered_set<NodePtr> GetNodesDeleted() { return nodes_deleted_; }

void SetOption(NodePassOption option, const std::string &value) { options_[option] = value; }
@@ -62,6 +64,7 @@ class BaseNodePass {
void init() {
nodes_need_re_pass_.clear();
nodes_deleted_.clear();
nodes_need_re_pass_immediately_.clear();
}

protected:
@@ -80,6 +83,14 @@ class BaseNodePass {
void AddRePassNode(NodePtr &node) { nodes_need_re_pass_.insert(node); }

///
/// Add a node to be optimized immediately again. If you add a new node to the graph, or
/// change a node connections, and you want to make sure the node will be
/// optimized by other passes, call this function.
/// @param node
///
void AddImmediateRePassNode(NodePtr &node) { nodes_need_re_pass_immediately_.insert(node); }

///
/// Add a node and it's input/output data nodes to be optimized again.
/// @param node
///
@@ -109,6 +120,7 @@ class BaseNodePass {

private:
std::unordered_set<NodePtr> nodes_need_re_pass_;
std::unordered_set<NodePtr> nodes_need_re_pass_immediately_;
std::unordered_set<NodePtr> nodes_deleted_;
std::map<NodePassOption, std::string> options_;
};


+ 15
- 0
ge/graph/passes/infershape_pass.cc View File

@@ -25,6 +25,7 @@

namespace ge {
Status InferShapePass::Run(NodePtr &node) {
// kOptimizeAfterSubGraph exist means after subgraph
auto ret = ShapeRefiner::InferShapeAndType(node, !OptionExists(kOptimizeAfterSubGraph));
if (ret != GRAPH_SUCCESS) {
// select INFERSHAPE failed info
@@ -41,6 +42,20 @@ Status InferShapePass::Run(NodePtr &node) {
GELOGE(GE_GRAPH_INFERSHAPE_FAILED, "infershape failed. node: %s", node->GetName().c_str());
return GE_GRAPH_INFERSHAPE_FAILED;
}
bool need_repass = false;
auto has_attr = AttrUtils::GetBool(node->GetOpDesc(), "need_infer_again_", need_repass);
if (has_attr) {
if (!OptionExists(kOptimizeAfterSubGraph)) {
return SUCCESS;
}
if (need_repass) {
AddImmediateRePassNode(node);
GELOGD("Node %s need repass immediately.", node->GetName().c_str());
} else {
// clear attr on while
node->GetOpDesc()->DelAttr("need_infer_again_");
}
}
return SUCCESS;
}
} // namespace ge

+ 3
- 2
ge/graph/passes/merge_input_memcpy_pass.cc View File

@@ -23,7 +23,9 @@ namespace ge {
Status MergeInputMemcpyPass::Run(ComputeGraphPtr graph) {
GELOGD("MergeInputMemcpyPass Enter");
for (const auto &node : graph->GetDirectNode()) {
if ((node->GetType() != MERGE) && (node->GetType() != REFMERGE)) {
std::string type;
GE_CHK_STATUS_RET(GetOriginalType(node, type), "Get node type failed.");
if ((type != MERGE) && (type != REFMERGE)) {
continue;
}
GE_CHECK_NOTNULL(node->GetOpDesc());
@@ -95,4 +97,3 @@ NodePtr MergeInputMemcpyPass::CreateMemcpyAsyncNode(const ComputeGraphPtr &graph
return graph->AddNode(op_desc);
}
} // namespace ge


+ 3
- 1
ge/graph/passes/merge_to_stream_merge_pass.cc View File

@@ -25,7 +25,9 @@ Status MergeToStreamMergePass::Run(ComputeGraphPtr graph) {

bypass_nodes_.clear();
for (const auto &node : graph->GetDirectNode()) {
if ((node->GetType() != MERGE) && (node->GetType() != REFMERGE)) {
std::string type;
GE_CHK_STATUS_RET(GetOriginalType(node, type), "Get node type failed.");
if ((type != MERGE) && (type != REFMERGE)) {
continue;
}



+ 2
- 0
ge/graph/passes/net_output_pass.cc View File

@@ -555,6 +555,8 @@ void NetOutputPass::AddInOutForNetOutputOp(const ComputeGraphPtr &graph, OpDescP
return;
}
ge::GeTensorDesc out_desc = src_node->GetOpDesc()->GetOutputDesc(src_index);
out_desc.SetFormat(FORMAT_ND);
out_desc.SetOriginFormat(FORMAT_ND);
GE_IF_BOOL_EXEC(net_output_desc->AddInputDesc(out_desc) != SUCCESS, GELOGW("add input desc failed"); return );
is_input_const.push_back(PassUtils::IsConstant(src_node));
++iter;


+ 4
- 2
ge/graph/passes/next_iteration_pass.cc View File

@@ -101,7 +101,8 @@ Status NextIterationPass::FindWhileGroups() {
const std::string &frame_name = loop_group_iter.first;
for (const auto &enter_node : loop_group_iter.second->enter_nodes) {
for (const auto &out_node : enter_node->GetOutAllNodes()) {
const string &type = out_node->GetType();
std::string type;
GE_CHK_STATUS_RET(GetOriginalType(out_node, type), "Get node type failed.");
if ((type != MERGE) && (type != REFMERGE)) {
continue;
}
@@ -310,7 +311,8 @@ Status NextIterationPass::FindTargetNode(const NodePtr &node, const std::string
}

for (const auto &tmp_node : nodes) {
const std::string type = tmp_node->GetType();
std::string type;
GE_CHK_STATUS_RET(GetOriginalType(tmp_node, type), "Get node type failed.");
if ((target_type == LOOPCOND) && (type == target_type)) {
target_node = tmp_node;
break;


+ 7
- 1
ge/graph/passes/pass_utils.cc View File

@@ -35,9 +35,9 @@
#include "graph/utils/op_desc_utils.h"
#include "graph/utils/tensor_utils.h"
#include "graph/utils/type_utils.h"
#include "utils/node_utils.h"

namespace ge {

Status PassUtils::ConstructTensorDescWithData(const GeTensorDesc &out_desc, std::vector<int64_t> &data,
std::vector<GeTensorPtr> &v_output, const bool scalar_output) {
Status ret = SUCCESS;
@@ -246,6 +246,12 @@ NodePtr PassUtils::GetInDataNode(const ConstNodePtr &node, int index) {
return src_node;
}

NodePtr PassUtils::GetInNodeCrossSubgraphByIndex(const ConstNodePtr &node, int index) {
auto src_node = GetInDataNode(node, index);

return NodeUtils::GetInNodeCrossSubgraph(src_node);
}

bool PassUtils::IsNeedTrainIteFlowCtrl(const ComputeGraphPtr &compute_graph) {
if (compute_graph == nullptr) {
return false;


+ 2
- 0
ge/graph/passes/pass_utils.h View File

@@ -30,6 +30,8 @@ class PassUtils {

static NodePtr GetInDataNode(const ConstNodePtr &node, int index);

static NodePtr GetInNodeCrossSubgraphByIndex(const ConstNodePtr &node, int index);

static bool IsConstant(const ConstNodePtr &node);

static Status SetOutNodeWeight(const OutDataAnchorPtr &out_data_anchor, const NodePtr &src_node);


+ 1
- 1
ge/graph/passes/subexpression_migration_pass.cc View File

@@ -279,7 +279,7 @@ Status SubexpressionMigrationPass::GraphNodeMigration(const ComputeGraphPtr &gra
const auto &in_anchor = in_anchors.at(i);
const auto &base_node = in_anchor->GetOwnerNode();
GELOGD("Get Data direct node: %s", base_node->GetName().c_str());
if (!base_node->GetHostNode()) {
if (!base_node->GetHostNode() || base_node->GetType() == SWITCH) {
continue;
}



+ 8
- 2
ge/graph/passes/switch_dead_branch_elimination.cc View File

@@ -94,6 +94,12 @@ Status SwitchDeadBranchElimination::DeleteSwitchNode(NodePtr &node, NodePtr &pre
GELOGE(FAILED, "parameter is null.");
return FAILED;
}

// If two nodes aren't in same graph, get node's direct in_node instead of pred_node.
if (node->GetOwnerComputeGraph() != pred_node->GetOwnerComputeGraph()) {
pred_node = PassUtils::GetInDataNode(node, kPredInputIndex);
}

// link pred's in control nodes to switch
if (GraphUtils::CopyInCtrlEdges(pred_node, node) != GRAPH_SUCCESS) {
return FAILED;
@@ -131,7 +137,7 @@ Status SwitchDeadBranchElimination::Run(NodePtr &node) {
return SUCCESS;
}

auto pred_node = PassUtils::GetInDataNode(node, kPredInputIndex);
auto pred_node = PassUtils::GetInNodeCrossSubgraphByIndex(node, kPredInputIndex);
if (pred_node == nullptr) {
GELOGD("[%s] Pred input is null.", node->GetName().c_str());
return SUCCESS;
@@ -143,7 +149,7 @@ Status SwitchDeadBranchElimination::Run(NodePtr &node) {
return SUCCESS;
}

auto input_node = PassUtils::GetInDataNode(node, kDataInputIndex);
auto input_node = PassUtils::GetInNodeCrossSubgraphByIndex(node, kDataInputIndex);
if (input_node == nullptr) {
GELOGD("[%s] Data input is null.", node->GetName().c_str());
return SUCCESS;


+ 2
- 0
ge/graph/passes/switch_to_stream_switch_pass.cc View File

@@ -448,6 +448,8 @@ Status SwitchToStreamSwitchPass::CombineSwitchNode(const ComputeGraphPtr &graph)

// select first stream_switch
NodePtr stream_switch = switch_list.front();
// set stream_label
GE_CHK_STATUS_RET(SetStreamLabel(stream_switch, cast_node->GetName()), "Set stream label failed.");
OpDescPtr switch_desc = stream_switch->GetOpDesc();
GE_CHECK_NOTNULL(switch_desc);
switch_desc->SetName(CheckDuplicateName(cond_group + "/" + STREAMSWITCH + (true_branch_flag ? "_t" : "_f")));


+ 25
- 20
ge/graph/preprocess/graph_preprocess.cc View File

@@ -23,6 +23,7 @@
#include "common/formats/format_transfers/format_transfer_nhwc_nc1hwc0.h"
#include "common/formats/format_transfers/format_transfer_transpose.h"
#include "common/formats/utils/formats_trans_utils.h"
#include "common/util/error_manager/error_manager.h"
#include "common/helper/model_helper.h"
#include "common/math/math_util.h"
#include "common/op/ge_op_utils.h"
@@ -1304,7 +1305,8 @@ Status GraphPrepare::UpdateInput(const std::vector<GeTensor> &user_input,
auto format = desc.GetFormat();
auto origin_format = desc.GetOriginFormat();
// data maybe internal format [FRACTAL_NZ] at singleop process such as GEMM.
bool need_check_internal_format = (!IsTansDataOpData(input_node)) && (!options_.is_single_op);
auto tune_flag = (options_.build_mode == BUILD_MODE_TUNING) && (options_.build_step == BUILD_STEP_AFTER_BUILDER);
bool need_check_internal_format = (!IsTansDataOpData(input_node)) && (!options_.is_single_op) && (!tune_flag);
if (need_check_internal_format) {
bool is_internal = TypeUtils::IsInternalFormat(format) || TypeUtils::IsInternalFormat(origin_format);
if (is_internal) {
@@ -1346,19 +1348,22 @@ Status GraphPrepare::UpdateInput(const std::vector<GeTensor> &user_input,
return FAILED;
}
ge::TensorUtils::SetSize(desc, shape_size);
graphStatus graph_ret = op->UpdateInputDesc(0, desc);
if (graph_ret != GRAPH_SUCCESS) {
GELOGE(graph_ret, "UpdateInputDesc fail, graph_ret:%u", graph_ret);
return graph_ret;
}
// Size will be recalculated in the build stage
ge::TensorUtils::SetSize(desc, 0);
graph_ret = op->UpdateOutputDesc(0, desc);
if (graph_ret != GRAPH_SUCCESS) {
GELOGE(graph_ret, "UpdateOutputDesc fail, graph_ret:%u", graph_ret);
return graph_ret;
if (!tune_flag) {
graphStatus graph_ret = op->UpdateInputDesc(0, desc);
if (graph_ret != GRAPH_SUCCESS) {
GELOGE(graph_ret, "UpdateInputDesc fail, graph_ret:%u", graph_ret);
return graph_ret;
}
// Size will be recalculated in the build stage
ge::TensorUtils::SetSize(desc, 0);
graph_ret = op->UpdateOutputDesc(0, desc);
if (graph_ret != GRAPH_SUCCESS) {
GELOGE(graph_ret, "UpdateOutputDesc fail, graph_ret:%u", graph_ret);
return graph_ret;
}
} else {
GELOGI("data %s skip update info in tune mode", op->GetName().c_str());
}

if (!dynamic_shape_range_vec.empty()) {
ret = UpdateDynamicInputShapeRange(index, dynamic_shape_range_vec, op, desc);
GE_CHK_STATUS_RET(ret, "Fail to update dynamic input shape range on %s.", op->GetName().c_str());
@@ -1763,13 +1768,13 @@ Status GraphPrepare::CheckUserInput(const std::vector<GeTensor> &user_input) {
GeTensorDesc desc(user_input[index].GetTensorDesc());

for (size_t i = 0; i < desc.GetShape().GetDimNum(); ++i) {
if (desc.GetShape().GetDim(i) < 0) {
std::string situation = "data dim[" + std::to_string(i) + "][" +
std::to_string(desc.GetShape().GetDim(i)) + "]" ;
std::string reason = "it need >= 0";
ErrorManager::GetInstance().ATCReportErrMessage("E19025", {"situation", "reason"}, {situation, reason});
GELOGE(GE_GRAPH_INIT_FAILED, "data dim %zu is not supported, need >= 0, real:%ld.", i,
desc.GetShape().GetDim(i));
int64_t dim = desc.GetShape().GetDim(i);
if (dim < UNKNOWN_DIM_NUM) {
std::string situation = "data dim[" + std::to_string(i) + "][" + std::to_string(dim) + "]" ;
std::string reason = "it need >= -2";
REPORT_INPUT_ERROR("E19025", std::vector<std::string>({"situation", "reason"}),
std::vector<std::string>({situation, reason}));
GELOGE(GE_GRAPH_INIT_FAILED, "[Check][InputDim]data dim %zu is not supported, need >= -2, real:%ld.", i, dim);
return GE_GRAPH_INIT_FAILED;
}
}


+ 2
- 1
ge/graph/preprocess/insert_op/ge_aipp_op.cc View File

@@ -428,7 +428,8 @@ Status AippOp::ConvertRelatedInputNameToRank() {
if (!convert_flag) {
string error_msg = "Top name " + related_input_name + "convert rank failed, Please"
" ensure top name in aipp config is the top name of data node.";
GE_ERRORLOG_AND_ERRORMSG(PARAM_INVALID, error_msg.c_str());
GELOGE(PARAM_INVALID, "[Check][InputParam]%s", error_msg.c_str());
REPORT_INPUT_ERROR("E19021", std::vector<std::string>({"reason"}), std::vector<std::string>({error_msg}));
return PARAM_INVALID;
}



+ 9
- 5
ge/graph/preprocess/insert_op/util_insert_aipp_op.cc View File

@@ -124,13 +124,15 @@ Status InsertNewOpUtil::CheckInputNamePositionNotRepeat() {
if (another_item->related_input_name().empty()) {
string error_msg = "Can not both set related_input_name and related_input_rank!"
" Please ensure param is the same with the first aipp config(related_input_name).";
GE_ERRORLOG_AND_ERRORMSG(PARAM_INVALID, error_msg.c_str());
GELOGE(PARAM_INVALID, "[Check][InputParam]%s", error_msg.c_str());
REPORT_INPUT_ERROR("E19021", std::vector<std::string>({"reason"}), std::vector<std::string>({error_msg}));
return PARAM_INVALID;
}
if (item->related_input_name() == another_item->related_input_name()) {
string error_msg = "Can not insert aipp to the same postion! Please ensure related_input_name"
" param is different in different aipp config.";
GE_ERRORLOG_AND_ERRORMSG(PARAM_INVALID, error_msg.c_str());
GELOGE(PARAM_INVALID, "[Check][InputParam]%s", error_msg.c_str());
REPORT_INPUT_ERROR("E19021", std::vector<std::string>({"reason"}), std::vector<std::string>({error_msg}));
return PARAM_INVALID;
}
}
@@ -150,13 +152,15 @@ Status InsertNewOpUtil::CheckInputRankPositionNoRepeat() {
if (!another_item->related_input_name().empty()) {
string error_msg = "Can not both set related_input_rank and related_input_name!"
" Please ensure param is the same with the first aipp config(related_input_rank).";
GE_ERRORLOG_AND_ERRORMSG(PARAM_INVALID, error_msg.c_str());
GELOGE(PARAM_INVALID, "[Check][InputParam]%s", error_msg.c_str());
REPORT_INPUT_ERROR("E19021", std::vector<std::string>({"reason"}), std::vector<std::string>({error_msg}));
return PARAM_INVALID;
}
if (item->related_input_rank() == another_item->related_input_rank()) {
string error_msg = "Can not insert aipp to the same postion! Please ensure related_input_rank"
" param is different in different aipp config.";
GE_ERRORLOG_AND_ERRORMSG(PARAM_INVALID, error_msg.c_str());
GELOGE(PARAM_INVALID, "[Check][InputParam]%s", error_msg.c_str());
REPORT_INPUT_ERROR("E19021", std::vector<std::string>({"reason"}), std::vector<std::string>({error_msg}));
return PARAM_INVALID;
}
}
@@ -212,7 +216,7 @@ Status InsertNewOpUtil::CheckGraph(const ComputeGraphPtr &graph) {
}
}
}
GE_CHK_LOG_AND_ERRORMSG((aippNodes.size() == 0) || (aippNodes.size() == next_nodes_cnt),
GE_CHK_LOG_AND_ERRORMSG((aippNodes.size() == 0) || (aippNodes.size() == next_nodes_cnt),
PARAM_INVALID,
"Can not config part of outputs of Data node to support AIPP, config all "
"of the outputs of Data to support AIPP, or config none of them");


+ 3
- 2
ge/host_cpu_engine/CMakeLists.txt View File

@@ -3,6 +3,7 @@ set(PROTO_LIST
)

protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST})
protobuf_generate(ge_atcstub PROTO_ATCSTUB_SRCS PROTO_ATCSTUB_HDRS ${PROTO_LIST})

set(SRC_LIST
"engine/host_cpu_engine.cc"
@@ -61,7 +62,7 @@ target_link_libraries(host_cpu_engine PRIVATE
)

############ atcstub/libhost_cpu_engine.so ############
add_library(atc_host_cpu_engine SHARED ${SRC_LIST} ${PROTO_HDRS})
add_library(atc_host_cpu_engine SHARED ${SRC_LIST} ${PROTO_ATCSTUB_HDRS})

target_compile_options(atc_host_cpu_engine PRIVATE
-Werror
@@ -84,7 +85,7 @@ target_include_directories(atc_host_cpu_engine PRIVATE
${METADEF_DIR}/inc/external
${METADEF_DIR}/inc/external/graph
${CMAKE_BINARY_DIR}
${CMAKE_BINARY_DIR}/proto/ge
${CMAKE_BINARY_DIR}/proto/ge_atcstub
#### yellow zone ####
${GE_CODE_DIR}/../inc
#### blue zone ####


+ 6
- 6
ge/host_kernels/concat_offset_kernel.cc View File

@@ -33,7 +33,7 @@ const int kNumOne = 1;
} // namespace
Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<ConstGeTensorPtr> &input,
vector<GeTensorPtr> &v_output) {
GELOGI("ConcatOffsetKernel in.");
GELOGD("ConcatOffsetKernel in");
if (op_desc_ptr == nullptr) {
GELOGE(PARAM_INVALID, "input opdesc is nullptr.");
return PARAM_INVALID;
@@ -41,7 +41,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
// validate attrs
int N = 0;
if (!(AttrUtils::GetInt(op_desc_ptr, "N", N))) {
GELOGW("Attr %s does not exist.", "N");
GELOGW("Attr %s does not exist", "N");
return NOT_CHANGED;
}
// follow IR def, the first input is concat_dim
@@ -50,7 +50,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
int32_t concat_dim = *(const_cast<int32_t *>(reinterpret_cast<const int32_t *>(input_0->GetData().data())));
// validate inputs
if ((static_cast<int>(input.size()) != (N + kNumOne)) || (input.size() <= kConcatOffsetInputIndexOne)) {
GELOGW("The number of input for concat offset must be equal to %d, and must be more than one.", (N + kNumOne));
GELOGW("The number of input for concat offset must be equal to %d, and must be more than one", (N + kNumOne));
return NOT_CHANGED;
}

@@ -61,7 +61,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
GELOGW("Concat dim is bigger than the size of output_shape.");
return NOT_CHANGED;
}
GELOGI("Output shape size is %ld", output_size);
GELOGI("Output shape size is %ld.", output_size);
int32_t offset = 0;
if (output_size < 0) {
GELOGE(FAILED, "Index is negative.");
@@ -86,7 +86,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
output_ptr->MutableTensorDesc().SetShape(output_shape);
GE_IF_BOOL_EXEC(output_ptr->SetData(reinterpret_cast<uint8_t *>(buf.get()),
static_cast<size_t>(sizeof(DT_INT32) * output_size)) != GRAPH_SUCCESS,
GELOGW("set data failed");
GELOGW("set data failed.");
return NOT_CHANGED);
v_output.push_back(output_ptr);
// caculate offset
@@ -99,7 +99,7 @@ Status ConcatOffsetKernel::Compute(const OpDescPtr op_desc_ptr, const vector<Con
}
offset += input_dim;
}
GELOGI("ConcatOffsetKernel success.");
GELOGD("ConcatOffsetKernel success");
return SUCCESS;
}
REGISTER_KERNEL(CONCATOFFSET, ConcatOffsetKernel);


+ 15
- 14
ge/host_kernels/gather_v2_kernel.cc View File

@@ -278,7 +278,7 @@ Status GatherV2Kernel::SaveIndicesByDataType(ConstGeTensorPtr indices_tensor_ptr
auto indices_ptr = const_cast<int32_t *>(reinterpret_cast<const int32_t *>(indices_tensor_ptr->GetData().data()));
for (int64_t i = 0; i < indices_shape.GetShapeSize(); i++) {
if (*(indices_ptr + i) < 0 || *(indices_ptr + i) >= x_shape.GetDim(axis)) {
GELOGW("indices %ld value is not in range [0, %ld)", i, x_shape.GetDim(axis));
GELOGW("indices %ld value is not in range [0, %ld).", i, x_shape.GetDim(axis));
return NOT_CHANGED;
}
indicates_.push_back(*(indices_ptr + i));
@@ -288,7 +288,7 @@ Status GatherV2Kernel::SaveIndicesByDataType(ConstGeTensorPtr indices_tensor_ptr
auto indices_ptr = const_cast<int64_t *>(reinterpret_cast<const int64_t *>(indices_tensor_ptr->GetData().data()));
for (int64_t i = 0; i < indices_shape.GetShapeSize(); i++) {
if (*(indices_ptr + i) < 0 || *(indices_ptr + i) >= x_shape.GetDim(axis)) {
GELOGW("indices %ld value is not in range [0, %ld)", i, x_shape.GetDim(axis));
GELOGW("indices %ld value is not in range [0, %ld).", i, x_shape.GetDim(axis));
return NOT_CHANGED;
}
indicates_.push_back(*(indices_ptr + i));
@@ -344,42 +344,42 @@ Status GatherV2Kernel::Check(const OpDescPtr &op_desc_ptr, const vector<ConstGeT
auto indices_data_type = tensor1->GetTensorDesc().GetDataType();
bool is_valid_indices_data_type = indices_data_type == DT_INT32 || indices_data_type == DT_INT64;
if (!is_valid_indices_data_type) {
GELOGW("indices datatype must be DT_INT32 or DT_INT64");
GELOGW("indices datatype must be DT_INT32 or DT_INT64.");
return NOT_CHANGED;
}
if (indices_shape.GetDimNum() > kMaxIndicatesDims) {
GELOGW("indices input only support 0 or 1 dims");
GELOGW("indices input only support 0 or 1 dims.");
return NOT_CHANGED;
}
return SUCCESS;
}
void GatherV2Kernel::DebugPrint(int64_t axis, const GeShape &x_shape, const GeShape &indices_shape,
const std::vector<int64_t> &y_shape) {
GELOGD("GatherV2Kernel axis:%ld x_shape:%zu indices_shape:%zu y_shape:%zu", axis, x_shape.GetDimNum(),
GELOGD("GatherV2Kernel axis:%ld x_shape:%zu indices_shape:%zu y_shape:%zu.", axis, x_shape.GetDimNum(),
indices_shape.GetDimNum(), y_shape.size());
for (size_t i = 0; i < x_shape.GetDimNum(); i++) {
GELOGD("GatherV2Kernel x_shape[%zu]: %ld", i, x_shape.GetDim(i));
GELOGD("GatherV2Kernel x_shape[%zu]: %ld.", i, x_shape.GetDim(i));
}
for (size_t i = 0; i < indices_shape.GetDimNum(); i++) {
GELOGD("GatherV2Kernel indices_shape[%zu]: %ld", i, indices_shape.GetDim(i));
GELOGD("GatherV2Kernel indices_shape[%zu]: %ld.", i, indices_shape.GetDim(i));
}
for (size_t i = 0; i < y_shape.size(); i++) {
GELOGD("GatherV2Kernel y_shape[%zu]: %ld", i, y_shape[i]);
GELOGD("GatherV2Kernel y_shape[%zu]: %ld.", i, y_shape[i]);
}
for (auto ele : indicates_) {
GELOGD("GatherV2Kernel indices:%ld", ele);
GELOGD("GatherV2Kernel indices:%ld.", ele);
}
}

Status GatherV2Kernel::Compute(const OpDescPtr op_desc_ptr, const vector<ConstGeTensorPtr> &input,
vector<GeTensorPtr> &v_output) {
GELOGI("Enter GatherV2Kernel Process.");
GELOGI("Enter GatherV2Kernel Process");
Status ret = Check(op_desc_ptr, input, v_output);
if (ret != SUCCESS) {
GELOGW("param check failed.");
GELOGW("param check failed");
return NOT_CHANGED;
}
GELOGI("GatherV2Kernel[%s] start Process.", op_desc_ptr->GetName().c_str());
GELOGI("GatherV2Kernel[%s] start Process", op_desc_ptr->GetName().c_str());
ConstGeTensorPtr tensor0 = input.at(kGatherV2InputIndexZero);
ConstGeTensorPtr tensor1 = input.at(kGatherV2InputIndexOne);
ConstGeTensorPtr tensor2 = input.at(kGatherV2InputIndexTwo);
@@ -394,7 +394,7 @@ Status GatherV2Kernel::Compute(const OpDescPtr op_desc_ptr, const vector<ConstGe
axis = axis >= 0 ? axis : axis + x_shape.GetDimNum();
// check axis value
if (axis < 0 || (axis + 1) > static_cast<int64_t>(x_shape.GetDimNum())) {
GELOGW("axis is invalid");
GELOGW("axis is invalid!");
return NOT_CHANGED;
}
auto indices_data_type = tensor1->GetTensorDesc().GetDataType();
@@ -407,7 +407,8 @@ Status GatherV2Kernel::Compute(const OpDescPtr op_desc_ptr, const vector<ConstGe
// check input data type
auto x_data_type = tensor0->GetTensorDesc().GetDataType();
if (supported_type.find(x_data_type) == supported_type.end()) {
GELOGI("GatherV2Kernel does not support this Data type:%s", TypeUtils::DataTypeToSerialString(x_data_type).c_str());
GELOGI("GatherV2Kernel does not support this Data type:%s.",
TypeUtils::DataTypeToSerialString(x_data_type).c_str());
return NOT_CHANGED;
}
// calc output shape


+ 1
- 0
ge/host_kernels/identity_kernel.cc View File

@@ -61,4 +61,5 @@ Status IdentityKernel::Compute(const ge::OpDescPtr op_desc, const std::vector<ge
return SUCCESS;
}
REGISTER_KERNEL(IDENTITY, IdentityKernel);
REGISTER_KERNEL(PLACEHOLDERWITHDEFAULT, IdentityKernel);
} // namespace ge

+ 9
- 9
ge/host_kernels/strided_slice_kernel.cc View File

@@ -84,14 +84,14 @@ void GetOriginStrideVec(const std::vector<ge::ConstGeTensorPtr> &input, vector<i
} // namespace
Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<ge::ConstGeTensorPtr> &input,
vector<ge::GeTensorPtr> &v_output) {
GELOGD("StridedSliceKernel in.");
GELOGD("StridedSliceKernel in");
// 1.Check input and attrs
if (CheckAndGetAttr(attr) != SUCCESS) {
GELOGW("Check and get attrs failed.Ignore kernel.");
GELOGW("Check and get attrs failed.Ignore kernel");
return NOT_CHANGED;
}
if (CheckInputParam(input) != SUCCESS) {
GELOGW("Check input params failed.Ignore kernel.");
GELOGW("Check input params failed.Ignore kernel");
return NOT_CHANGED;
}
// 2.Init param with mask attrs.
@@ -120,7 +120,7 @@ Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<g
auto ret = OpUtils::SetOutputSliceData(data, static_cast<int64_t>(data_size), data_type, input_dims, begin_vec,
output_dims, output_ptr.get(), stride_vec);
if (ret != SUCCESS) {
GELOGE(INTERNAL_ERROR, "SetOutputSliceData failed.");
GELOGE(INTERNAL_ERROR, "SetOutputSliceData failed");
return NOT_CHANGED;
}

@@ -133,7 +133,7 @@ Status StridedSliceKernel::Compute(const ge::OpDescPtr attr, const std::vector<g
GetOutputDims(final_dim_size, output_dims, v_dims);
t_d.SetShape(GeShape(v_dims));
v_output.push_back(output_ptr);
GELOGI("StridedSliceKernel success.");
GELOGI("StridedSliceKernel success");
return SUCCESS;
}
Status StridedSliceKernel::CheckAndGetAttr(const OpDescPtr &attr) {
@@ -144,7 +144,7 @@ Status StridedSliceKernel::CheckAndGetAttr(const OpDescPtr &attr) {
// Get all op attr value of strided_slice
for (auto &attr_2_value : attr_value_map_) {
if (!AttrUtils::GetInt(attr, attr_2_value.first, attr_2_value.second)) {
GELOGE(PARAM_INVALID, "Get %s attr failed.", attr_2_value.first.c_str());
GELOGE(PARAM_INVALID, "Get %s attr failed", attr_2_value.first.c_str());
return PARAM_INVALID;
}
}
@@ -182,7 +182,7 @@ Status StridedSliceKernel::CheckInputParam(const std::vector<ConstGeTensorPtr> &
return PARAM_INVALID;
}
if (kIndexNumberType.find(begin_tensor_desc.GetDataType()) == kIndexNumberType.end()) {
GELOGW("Data type of StridedSlice OP(begin,end,strides) must be int32 or int64.");
GELOGW("Data type of StridedSlice OP(begin,end,strides) must be int32 or int64");
return PARAM_INVALID;
}

@@ -250,7 +250,7 @@ Status StridedSliceKernel::InitParamWithAttrs(const std::vector<ConstGeTensorPtr
end_i = x_dims.at(i);
stride_i = 1;
}
GELOGD("Before mask calculate. Begin is : %ld\t,end is : %ld\t stride is : %ld\t x_dim_i is : %ld.",
GELOGD("Before mask calculate. Begin is : %ld\t,end is : %ld\t stride is : %ld\t x_dim_i is : %ld",
begin_i, end_i, stride_i, x_dims.at(i));
auto ret = MaskCal(i, begin_i, end_i, x_dims.at(i));
if (ret != SUCCESS) {
@@ -258,7 +258,7 @@ Status StridedSliceKernel::InitParamWithAttrs(const std::vector<ConstGeTensorPtr
return NOT_CHANGED;
}
int64_t dim_final;
GELOGD("Before stride calculate. Begin is : %ld\t,end is : %ld\t stride is : %ld\t x_dim_i is : %ld.",
GELOGD("Before stride calculate. Begin is : %ld\t,end is : %ld\t stride is : %ld\t x_dim_i is : %ld",
begin_i, end_i, stride_i, x_dims.at(i));
(void) StrideCal(x_dims.at(i), begin_i, end_i, stride_i, dim_final);
output_dims.push_back(dim_final);


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