From: @nicholas_yhr Reviewed-by: @lilongfei15,@ljl0711 Signed-off-by: @lilongfei15tags/v1.2.0
@@ -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 | |||
@@ -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; | |||
} | |||
@@ -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; | |||
@@ -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; | |||
} | |||
@@ -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; | |||
} | |||
@@ -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()); | |||
@@ -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; | |||
} | |||
@@ -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()); | |||
@@ -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; | |||
@@ -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; | |||
@@ -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", | |||
@@ -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; | |||
@@ -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; | |||
@@ -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; | |||
@@ -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; | |||
} | |||
@@ -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; | |||
@@ -592,8 +592,8 @@ Status GeGenerator::SetModelNameForDump(const GeRootModelPtr &ge_root_model) { | |||
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()); | |||
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(); | |||
@@ -597,11 +597,13 @@ void BlockMemAssigner::GetOutAndWorkSpaceMem(vector<int64_t> &all_memory_size) { | |||
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, "[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;); | |||
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()) { | |||
batch_total_size[batch_label] = size; | |||
@@ -692,23 +694,23 @@ bool BlockMemAssigner::IsOutNodeSetContinuousInput(const NodePtr &n, uint32_t ou | |||
auto out_anchor = n->GetOutDataAnchor(out_index); | |||
GE_IF_BOOL_EXEC(out_anchor == nullptr, | |||
GELOGE(FAILED, "[Check][Anchor]Node[%s] output[%u] anchor is null.", | |||
n->GetName().c_str(), out_index); | |||
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); | |||
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, "[Check][Anchor]Node[%s] output[%u] peer_in_anchor 0 is null.", | |||
n->GetName().c_str(), out_index); | |||
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); | |||
n->GetName().c_str(), out_index); | |||
return false;); | |||
auto peer_node = peer_in_anchor->GetOwnerNode(); | |||
GE_IF_BOOL_EXEC(peer_node == nullptr, | |||
GELOGE(FAILED, "[Check][Node]Node[%s] output[%u] peer node is null.", | |||
n->GetName().c_str(), out_index); | |||
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); | |||
n->GetName().c_str(), out_index); | |||
return false;); | |||
// Get the continuous input type of the node, default is false | |||
@@ -716,9 +718,9 @@ bool BlockMemAssigner::IsOutNodeSetContinuousInput(const NodePtr &n, uint32_t ou | |||
auto peer_in_node_desc = peer_node->GetOpDesc(); | |||
GE_IF_BOOL_EXEC(peer_in_node_desc == nullptr, | |||
GELOGE(FAILED, "[Check][OpDesc]Node[%s] output[%u] nodedesc is null.", | |||
n->GetName().c_str(), out_index); | |||
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); | |||
n->GetName().c_str(), out_index); | |||
return false;); | |||
// If GetBool fail, is_input_continuous is false. | |||
@@ -819,7 +821,7 @@ bool BlockMemAssigner::IsContinuousMemoryReuse(const NodePtr &n, const NodePtr & | |||
(in_anchor->GetPeerOutAnchor()->GetOwnerNode() == nullptr) || | |||
(in_anchor->GetPeerOutAnchor()->GetOwnerNode()->GetOpDesc() == nullptr)) { | |||
GELOGE(FAILED, "[Check][OpDesc]Node[%s] output[%u] peer input node desc is null.", | |||
n->GetName().c_str(), out_index); | |||
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; | |||
@@ -1105,9 +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, | |||
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."); | |||
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; | |||
@@ -1159,10 +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, | |||
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); | |||
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); | |||
@@ -1221,13 +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, | |||
REPORT_INNER_ERROR("E19999", "Input parameter n(type:node_ptr) is null"); | |||
return INTERNAL_ERROR, "[check][param]Input parameter n(type:NodePtr) 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, | |||
REPORT_INNER_ERROR("E19999", "Input parameter n(type:OpDescPtr) is null"); | |||
return INTERNAL_ERROR, "[Check][Param]Input parameter n(type:OpDescPtr) 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; | |||
@@ -1242,7 +1249,7 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in | |||
if (!isAllOutputRef && isOutputHasRef) { | |||
REPORT_INNER_ERROR("E19999", "continuous output node ref part input, not support now. node_name:%s", | |||
n->GetName().c_str()); | |||
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; | |||
@@ -1255,7 +1262,7 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in | |||
auto output_op_desc = node_op_desc->GetOutputDescPtr(index); | |||
if (output_op_desc == nullptr) { | |||
REPORT_INNER_ERROR("E19999", "get output_desc failed, node_name:%s, output_index:%u", | |||
n->GetName().c_str(), index); | |||
n->GetName().c_str(), index); | |||
GELOGE(INTERNAL_ERROR, "[Get][OutputDesc]node_name:%s, output_index:%u", n->GetName().c_str(), index); | |||
return INTERNAL_ERROR; | |||
} | |||
@@ -1268,7 +1275,7 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in | |||
int64_t size = 0; | |||
if (ge::TensorUtils::GetSize(*output_op_desc, size) != SUCCESS) { | |||
REPORT_CALL_ERROR("E19999", "get tensor_size failed, node_name:%s, output_index:%u", | |||
n->GetName().c_str(), index); | |||
n->GetName().c_str(), index); | |||
GELOGE(INTERNAL_ERROR, "[Get][TensorSize]node_name:%s, output_index:%u", n->GetName().c_str(), index); | |||
return INTERNAL_ERROR; | |||
} | |||
@@ -1310,7 +1317,7 @@ Status BlockMemAssigner::ApplyContinuousMemory(const NodePtr &n, const vector<in | |||
++(block->ref_count_); | |||
} else { | |||
REPORT_CALL_ERROR("E19999", "apply continuousMemory failed, node_name:%s, total_size:%ld", | |||
n->GetName().c_str(), total_size); | |||
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; | |||
} | |||
@@ -1319,26 +1326,33 @@ 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, | |||
REPORT_INNER_ERROR("E19999", "Input parameter n(type:NodePtr) is null"); | |||
return nullptr, "[Check][Param]Input parameter n(type:NodePtr) 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, | |||
REPORT_INNER_ERROR("E19999", "Input parameter n(type:OpDescPtr) is null"); | |||
return nullptr, "[Check][Param]Input parameter n(type:OpDescPtr) 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, | |||
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( | |||
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, | |||
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); | |||
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; | |||
@@ -1346,9 +1360,9 @@ MemoryBlock *BlockMemAssigner::ApplyOutMemory(const NodePtr &n, uint32_t index, | |||
block = symbol_blocks_[symbol]; | |||
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()); | |||
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()); | |||
node_op_desc->GetName().c_str(), node_index_io.ToString().c_str()); | |||
return nullptr); | |||
// reduce old size | |||
size_t align_size = block->Size(); | |||
@@ -1392,24 +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", | |||
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); | |||
} | |||
int out_count = 0; | |||
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); | |||
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, | |||
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); | |||
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(); | |||
@@ -1616,12 +1634,13 @@ Status BlockMemAssigner::AssignOutputMemoryWithReuse(const NodePtr &node, vector | |||
op_desc->GetOutputsSize(), memorys_type.size()); | |||
if (has_mem_type_attr && (memorys_type.size() != op_desc->GetOutputsSize())) { | |||
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()); | |||
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; | |||
} | |||
@@ -1748,9 +1767,11 @@ void BlockMemAssigner::AssignMemoryWithReuse(vector<int64_t> &ranges) { | |||
if (has_tvm_workspace_mem_type_attr && (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()); | |||
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()); | |||
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++) { | |||
@@ -2160,10 +2181,11 @@ bool BlockMemAssigner::GetWorkSpaceMemoryType(const NodePtr &node, size_t index, | |||
ge::AttrUtils::GetListInt(op_desc, TVM_ATTR_NAME_WORKSPACE_TYPE, workspace_memory_type); | |||
if (has_workspace_mem_type_attr && (workspace_memory_type.size() <= index)) { | |||
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()); | |||
"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()); | |||
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; | |||
@@ -496,7 +496,7 @@ Status GraphMemoryAssigner::AssignContinuousInputMemory(const ge::NodePtr &node, | |||
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()); | |||
memory_type, node->GetName().c_str()); | |||
return FAILED; | |||
} | |||
// The head and tail of hcom continuous input should be added 512 | |||
@@ -929,8 +929,8 @@ Status GraphMemoryAssigner::AssignReferenceMemory() { | |||
if (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()); | |||
"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; | |||
@@ -2875,23 +2875,16 @@ 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."); | |||
@@ -2931,6 +2924,14 @@ 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(); | |||
@@ -2949,20 +2950,22 @@ 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); | |||
@@ -2971,7 +2974,7 @@ 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); | |||
@@ -530,11 +530,11 @@ 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, | |||
@@ -1007,8 +1007,6 @@ 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_; | |||
@@ -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)); | |||
@@ -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_); | |||
} | |||
@@ -449,29 +451,41 @@ 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 +530,8 @@ 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 +559,31 @@ 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 +594,23 @@ 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 +650,6 @@ 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 +663,7 @@ 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 +675,13 @@ 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; | |||
@@ -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 | |||
@@ -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); | |||
@@ -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_; | |||
}; | |||
@@ -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 |
@@ -1772,8 +1772,8 @@ Status GraphPrepare::CheckUserInput(const std::vector<GeTensor> &user_input) { | |||
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})); | |||
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; | |||
} | |||
@@ -212,7 +212,7 @@ 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"); | |||
@@ -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 | |||
@@ -67,6 +67,7 @@ Status HybridModelAsyncExecutor::Start(const std::shared_ptr<ModelListener> &lis | |||
future_ = std::async(std::launch::async, [&]() -> Status { | |||
GetThreadLocalContext() = *executor_->GetContext()->ge_context; | |||
GetContext().SetSessionId(executor_->GetContext()->session_id); | |||
GetContext().SetContextId(executor_->GetContext()->context_id); | |||
return RunInternal(); | |||
}); | |||
@@ -105,7 +106,7 @@ Status HybridModelAsyncExecutor::Init() { | |||
executor_ = std::unique_ptr<HybridModelExecutor>(new(std::nothrow) HybridModelExecutor(model_, device_id_, stream_)); | |||
GE_CHECK_NOTNULL(executor_); | |||
GE_CHK_STATUS_RET(executor_->Init(), "Failed to init hybrid engine"); | |||
GE_CHK_STATUS_RET(DumpOpDebug(),"Dump op debug failed in hybrid engine"); | |||
GE_CHK_STATUS_RET(DumpOpDebug(), "Dump op debug failed in hybrid engine"); | |||
GELOGI("HybridModel stage nums:%zu", model_->GetRootGraphItem()->NumGroups()); | |||
if (model_->GetRootGraphItem()->NumGroups() >= kMinimumPiplineStages) { | |||
@@ -166,6 +167,7 @@ Status HybridModelAsyncExecutor::RunInternal() { | |||
} else { | |||
GELOGI("HybridModel will execute in singleline mode"); | |||
ge::GetContext().SetSessionId(executor_->GetContext()->session_id); | |||
ge::GetContext().SetContextId(executor_->GetContext()->context_id); | |||
ret = executor_->Execute(args); | |||
} | |||
ret = HandleResult(ret, current_data.index, args, data_wrapper->GetOutput()); | |||
@@ -35,12 +35,14 @@ ShapeInferenceState::ShapeInferenceState(const NodeItem &node_item) : node_item( | |||
node_item.NodeName().c_str(), | |||
this->num_pending_shapes_); | |||
for (int i = 0; i < node_item.num_inputs; ++i){ | |||
input_tensor_desc.emplace_back(*node_item.MutableInputDesc(i)); | |||
input_tensor_desc.resize(node_item.num_inputs); | |||
for (int i = 0; i < node_item.num_inputs; ++i) { | |||
node_item.GetInputDesc(i, input_tensor_desc[i]); | |||
} | |||
for (int i = 0; i < node_item.num_outputs; ++i){ | |||
output_tensor_desc.emplace_back(*node_item.MutableOutputDesc(i)); | |||
output_tensor_desc.resize(node_item.num_outputs); | |||
for (int i = 0; i < node_item.num_outputs; ++i) { | |||
node_item.GetOutputDesc(i, output_tensor_desc[i]); | |||
} | |||
} | |||
@@ -227,6 +227,7 @@ Status SubgraphExecutor::PrepareNodes(int group) { | |||
if (node_item.is_dynamic) { | |||
auto prepare_future = pre_run_pool_.commit([this, p_node_state]() -> Status { | |||
GetContext().SetSessionId(context_->session_id); | |||
GetContext().SetContextId(context_->context_id); | |||
GE_CHK_STATUS_RET_NOLOG(InferShape(shape_inference_engine_.get(), *p_node_state)); | |||
return PrepareForExecution(context_, *p_node_state); | |||
}); | |||
@@ -273,10 +274,8 @@ Status SubgraphExecutor::PrepareNodes(int group) { | |||
} | |||
Status SubgraphExecutor::InferShape(ShapeInferenceEngine *shape_inference_engine, NodeState &node_state) const { | |||
GetContext().SetSessionId(context_->context_id); | |||
HYBRID_CHK_STATUS_RET(shape_inference_engine->InferShape(node_state), | |||
"[%s] Failed to InferShape.", node_state.GetName().c_str()); | |||
GetContext().SetSessionId(context_->session_id); | |||
HYBRID_CHK_STATUS_RET(shape_inference_engine->PropagateOutputShapes(node_state), | |||
"[%s] Failed to PropagateOutputShapes.", node_state.GetName().c_str()); | |||
return SUCCESS; | |||
@@ -345,6 +344,7 @@ Status SubgraphExecutor::ScheduleTasks(int group) { | |||
GELOGD("[%s] Start to schedule prepare workers.", graph_item_->GetName().c_str()); | |||
auto prepare_future = std::async(std::launch::async, [&]() -> Status { | |||
GetContext().SetSessionId(context_->session_id); | |||
GetContext().SetContextId(context_->context_id); | |||
auto ret = PrepareNodes(group); | |||
ready_queue_.Push(nullptr); | |||
return ret; | |||
@@ -135,6 +135,7 @@ class HybridModel { | |||
std::string model_name_; | |||
GeRootModelPtr ge_root_model_; | |||
std::map<uint32_t, NodeItem *> input_nodes_; | |||
ComputeGraphPtr root_graph_; | |||
std::map<std::string, NodePtr> device_variable_nodes_; //lint !e148 | |||
std::map<std::string, NodePtr> host_variable_nodes_; //lint !e148 | |||
std::map<std::string, std::unique_ptr<TensorValue>> variable_tensors_; | |||
@@ -136,12 +136,12 @@ Status HybridModelBuilder::Build() { | |||
GE_CHK_STATUS_RET(RecoverGraphUnknownFlag(), "[%s] Failed to RecoverGraphUnknownFlag", GetGraphName()); | |||
GE_CHK_STATUS_RET(IndexSpecialNodes(), "[%s] Failed to index nodes", GetGraphName()); | |||
GE_CHK_STATUS_RET(IndexTaskDefs(), "[%s] Failed to index task defs", GetGraphName()); | |||
GE_CHK_STATUS_RET(InitWeights(), "[%s] Failed to init weights", GetGraphName()); | |||
GE_CHK_STATUS_RET(LoadGraph(), "[%s] Failed to load graph", GetGraphName()); | |||
GE_CHK_STATUS_RET(AssignUninitializedConstantOps(), "[%s] Failed to assign uninitialized constants", GetGraphName()); | |||
GE_CHK_STATUS_RET(TransAllVarData(), "[%s] Failed to trans all var data", GetGraphName()); | |||
GE_CHK_STATUS_RET(CopyVarData(), "[%s] Failed to copy var data", GetGraphName()); | |||
GE_CHK_STATUS_RET(InitModelMem(), "[%s] Failed to init memory", GetGraphName()); | |||
GE_CHK_STATUS_RET(InitWeights(), "[%s] Failed to init weights", GetGraphName()); | |||
GE_CHK_STATUS_RET(InitConstantOps(), "[%s] Failed to init constant op", GetGraphName()); | |||
GE_CHK_STATUS_RET(InitVariableTensors(), "[%s] Failed to init variables", GetGraphName()); | |||
GE_CHK_STATUS_RET(LoadTasks(), "[%s] Failed to load tasks", GetGraphName()); | |||
@@ -599,9 +599,10 @@ Status HybridModelBuilder::MergeNetOutputNode(ComputeGraph &graph) { | |||
return SUCCESS; | |||
} | |||
Status HybridModelBuilder::UnfoldSubgraphs(ComputeGraph &root_graph, ComputeGraphPtr &merged_graph) { | |||
Status HybridModelBuilder::UnfoldSubgraphs(ComputeGraphPtr &root_graph, ComputeGraphPtr &merged_graph) { | |||
merged_graph = MakeShared<ComputeGraph>("MergedGraph"); | |||
for (const auto &node : root_graph.GetDirectNode()) { | |||
merged_graph->SetGraphUnknownFlag(root_graph->GetGraphUnknownFlag()); | |||
for (const auto &node : root_graph->GetDirectNode()) { | |||
GE_CHECK_NOTNULL(node); | |||
auto op_desc = node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(op_desc); | |||
@@ -631,7 +632,7 @@ Status HybridModelBuilder::UnfoldSubgraphs(ComputeGraph &root_graph, ComputeGrap | |||
} | |||
} | |||
} | |||
GE_CHK_GRAPH_STATUS_RET(UnfoldSubgraph(root_graph, *merged_graph, *subgraph), | |||
GE_CHK_GRAPH_STATUS_RET(UnfoldSubgraph(root_graph, merged_graph, *subgraph), | |||
"[%s] Failed to merge subgraph.", | |||
subgraph->GetName().c_str()); | |||
} | |||
@@ -647,18 +648,19 @@ Status HybridModelBuilder::UnfoldSubgraphs(ComputeGraph &root_graph, ComputeGrap | |||
return a_level < b_level; | |||
}); | |||
for (auto &remained_subgraph : root_graph.GetAllSubgraphs()) { | |||
for (auto &remained_subgraph : root_graph->GetAllSubgraphs()) { | |||
GELOGD("Adding subgraph [%s] to merged-graph.", remained_subgraph->GetName().c_str()); | |||
GE_CHK_GRAPH_STATUS_RET(merged_graph->AddSubgraph(remained_subgraph), | |||
"Failed to add subgraph [%s]", | |||
remained_subgraph->GetName().c_str()); | |||
remained_subgraph->SetParentGraph(merged_graph); | |||
} | |||
return SUCCESS; | |||
} | |||
Status HybridModelBuilder::UnfoldSubgraph(ComputeGraph &root_graph, | |||
ComputeGraph &parent_graph, | |||
Status HybridModelBuilder::UnfoldSubgraph(ComputeGraphPtr &root_graph, | |||
ComputeGraphPtr &parent_graph, | |||
ComputeGraph &sub_graph) { | |||
auto parent_node = sub_graph.GetParentNode(); | |||
GE_CHECK_NOTNULL(parent_node); | |||
@@ -687,15 +689,23 @@ Status HybridModelBuilder::UnfoldSubgraph(ComputeGraph &root_graph, | |||
} | |||
} | |||
parent_graph.AddNode(sub_node); | |||
if (!sub_node->GetOpDesc()->GetSubgraphInstanceNames().empty()) { | |||
for (size_t i = 0; i < sub_node->GetOpDesc()->GetSubgraphInstanceNames().size(); ++i) { | |||
auto sub_sub_graph = NodeUtils::GetSubgraph(*sub_node, i); | |||
GE_CHECK_NOTNULL(sub_sub_graph); | |||
sub_sub_graph->SetParentGraph(parent_graph); | |||
} | |||
} | |||
parent_graph->AddNode(sub_node); | |||
GELOGD("[%s::%s] added to parent graph: [%s].", | |||
sub_graph.GetName().c_str(), | |||
sub_node->GetName().c_str(), | |||
parent_graph.GetName().c_str()); | |||
parent_graph->GetName().c_str()); | |||
sub_node->SetOwnerComputeGraph(parent_graph); | |||
} | |||
GELOGD("[%s] Done merging subgraph. remove it from root graph.", sub_graph.GetName().c_str()); | |||
root_graph.RemoveSubgraph(sub_graph.GetName()); | |||
root_graph->RemoveSubgraph(sub_graph.GetName()); | |||
return SUCCESS; | |||
} | |||
@@ -747,14 +757,14 @@ Status HybridModelBuilder::LoadGraph() { | |||
GELOGI("Before merging subgraphs DirectNodesSize = %zu, GetAllNodesSize = %zu", | |||
root_graph->GetDirectNodesSize(), | |||
root_graph->GetAllNodesSize()); | |||
GE_CHK_GRAPH_STATUS_RET(UnfoldSubgraphs(*root_graph, merged_graph), "Failed to unfold subgraphs."); | |||
GE_CHK_GRAPH_STATUS_RET(UnfoldSubgraphs(root_graph, merged_graph), "Failed to unfold subgraphs."); | |||
root_graph = std::move(merged_graph); | |||
GELOGI("After merging subgraphs DirectNodesSize = %zu, GetAllNodesSize = %zu", | |||
root_graph->GetDirectNodesSize(), | |||
root_graph->GetAllNodesSize()); | |||
} | |||
root_graph_ = root_graph; | |||
hybrid_model_.root_graph_ = root_graph; | |||
// Reset node id by topological order across all subgraphs | |||
int64_t index = 0; | |||
for (const auto &node : root_graph->GetAllNodes()) { | |||
@@ -1030,9 +1040,13 @@ Status HybridModelBuilder::InitWeights() { | |||
GELOGI("Init weight mem successfully, weight base %p, weight size = %zu", | |||
weight_base, | |||
sub_weight_buffer->GetSize()); | |||
auto root_graph = GraphUtils::GetComputeGraph(subgraph_model.second->GetGraph()); | |||
hybrid_model_.weight_buffer_map_.emplace(root_graph->GetName(),std::move(sub_weight_buffer)); | |||
for (auto &node : root_graph->GetDirectNode()) { | |||
auto subgraph = GraphUtils::GetComputeGraph(subgraph_model.second->GetGraph()); | |||
if (subgraph != ge_root_model_->GetRootGraph()) { | |||
subgraph = ge_root_model_->GetRootGraph()->GetSubgraph(subgraph_model.first); | |||
} | |||
GE_CHECK_NOTNULL(subgraph); | |||
hybrid_model_.weight_buffer_map_.emplace(subgraph->GetName(), std::move(sub_weight_buffer)); | |||
for (auto &node : subgraph->GetDirectNode()) { | |||
if (node->GetType() != CONSTANT) { | |||
continue; | |||
} | |||
@@ -2044,7 +2058,7 @@ Status HybridModelBuilder::CollectParallelGroups(NodeItem *node_item) { | |||
GELOGD("[%s] Start to get parallel group from subgraph: %s", | |||
node_item->NodeName().c_str(), | |||
subgraph_name.c_str()); | |||
auto subgraph = root_graph_->GetSubgraph(subgraph_name); | |||
auto subgraph = hybrid_model_.root_graph_->GetSubgraph(subgraph_name); | |||
GE_CHECK_NOTNULL(subgraph); | |||
for (const auto &sub_node : subgraph->GetAllNodes()) { | |||
std::string parallel_group; | |||
@@ -47,8 +47,8 @@ class HybridModelBuilder { | |||
static Status HandleDtString(const GeTensor &tensor, void *var_addr); | |||
static Status MergeInputNodes(ComputeGraph &compute_graph); | |||
static Status MergeNetOutputNode(ComputeGraph &compute_graph); | |||
static Status UnfoldSubgraphs(ComputeGraph &root_graph, ComputeGraphPtr &merged_graph); | |||
static Status UnfoldSubgraph(ComputeGraph &root_graph, ComputeGraph &parent_graph, ComputeGraph &sub_graph); | |||
static Status UnfoldSubgraphs(ComputeGraphPtr &root_graph, ComputeGraphPtr &merged_graph); | |||
static Status UnfoldSubgraph(ComputeGraphPtr &root_graph, ComputeGraphPtr &parent_graph, ComputeGraph &sub_graph); | |||
static Status BuildInputMapping(GraphItem &graph_item, | |||
std::vector<NodeItem *> &data_nodes, | |||
bool is_root_graph); | |||
@@ -100,7 +100,6 @@ class HybridModelBuilder { | |||
NodeItem *MutableNodeItem(const NodePtr &node); | |||
GeRootModelPtr ge_root_model_; | |||
ComputeGraphPtr root_graph_; | |||
std::map<std::string, GeModelPtr> subgraph_models_; | |||
std::map<std::string, NodePtr> constant_op_nodes_; | |||
std::map<std::string, std::set<NodeItem *>> parallel_group_to_nodes_; | |||
@@ -297,7 +297,7 @@ void NodeItem::SetToDynamic() { | |||
} | |||
} | |||
GeTensorDescPtr NodeItem::MutableInputDesc(int index) const { | |||
GeTensorDescPtr NodeItem::DoGetInputDesc(int index) const { | |||
if (!has_optional_inputs) { | |||
return op_desc->MutableInputDesc(static_cast<uint32_t>(index)); | |||
} | |||
@@ -314,6 +314,40 @@ GeTensorDescPtr NodeItem::MutableInputDesc(int index) const { | |||
return op_desc->MutableInputDesc(input_desc_indices_[index]); | |||
} | |||
GeTensorDescPtr NodeItem::MutableInputDesc(int index) const { | |||
std::lock_guard<std::mutex> lk(mu_); | |||
return DoGetInputDesc(index); | |||
} | |||
Status NodeItem::GetInputDesc(int index, GeTensorDesc &tensor_desc) const { | |||
std::lock_guard<std::mutex> lk(mu_); | |||
auto input_desc = DoGetInputDesc(index); | |||
GE_CHECK_NOTNULL(input_desc); | |||
tensor_desc = *input_desc; | |||
return SUCCESS; | |||
} | |||
Status NodeItem::GetOutputDesc(int index, GeTensorDesc &tensor_desc) const { | |||
std::lock_guard<std::mutex> lk(mu_); | |||
auto output_desc = op_desc->MutableOutputDesc(static_cast<uint32_t>(index)); | |||
GE_CHECK_NOTNULL(output_desc); | |||
tensor_desc = *output_desc; | |||
return SUCCESS; | |||
} | |||
GeTensorDescPtr NodeItem::MutableOutputDesc(int index) const { | |||
std::lock_guard<std::mutex> lk(mu_); | |||
return op_desc->MutableOutputDesc(static_cast<uint32_t>(index)); | |||
} | |||
Status NodeItem::UpdateInputDesc(int index, const GeTensorDesc &tensor_desc) { | |||
std::lock_guard<std::mutex> lk(mu_); | |||
auto input_desc = DoGetInputDesc(index); | |||
GE_CHECK_NOTNULL(input_desc); | |||
*input_desc = tensor_desc; | |||
return SUCCESS; | |||
} | |||
Status NodeItem::GetCanonicalInputIndex(uint32_t index, int &canonical_index) const { | |||
if (!has_optional_inputs) { | |||
canonical_index = index; | |||
@@ -17,6 +17,7 @@ | |||
#ifndef GE_HYBRID_MODEL_NODE_ITEM_H_ | |||
#define GE_HYBRID_MODEL_NODE_ITEM_H_ | |||
#include <mutex> | |||
#include <vector> | |||
#include "external/ge/ge_api_error_codes.h" | |||
#include "graph/node.h" | |||
@@ -57,12 +58,16 @@ struct NodeItem { | |||
bool IsInputShapeStatic(int index) const; | |||
GeTensorDescPtr MutableOutputDesc(int index) const { | |||
return op_desc->MutableOutputDesc(static_cast<uint32_t>(index)); | |||
} | |||
GeTensorDescPtr MutableOutputDesc(int index) const; | |||
Status UpdateInputDesc(int index, const GeTensorDesc &tensor_desc); | |||
GeTensorDescPtr MutableInputDesc(int index) const; | |||
Status GetInputDesc(int index, GeTensorDesc &tensor_desc) const; | |||
Status GetOutputDesc(int index, GeTensorDesc &tensor_desc) const; | |||
Status GetCanonicalInputIndex(uint32_t index, int &canonical_index) const; | |||
bool IsControlOp() const; | |||
@@ -113,9 +118,11 @@ struct NodeItem { | |||
Status ResolveDynamicState(); | |||
Status ResolveStaticInputsAndOutputs(); | |||
void ResolveUnknownShapeType(); | |||
GeTensorDescPtr DoGetInputDesc(int index) const; | |||
std::vector<bool> is_input_shape_static_; | |||
std::vector<uint32_t> input_desc_indices_; | |||
mutable std::mutex mu_; | |||
}; | |||
} // namespace hybrid | |||
} // namespace ge | |||
@@ -307,11 +307,9 @@ Status AiCoreOpTask::UpdateTilingInfo(TaskContext &context) { | |||
auto execution_context = context.GetExecutionContext(); | |||
GetContext().SetSessionId(execution_context->context_id); | |||
RECORD_EXECUTION_EVENT(execution_context, context.GetNodeName(), "[CalcTilingInfo] Start"); | |||
GE_CHK_STATUS_RET(CalcTilingInfo(node, tiling_info)); | |||
RECORD_EXECUTION_EVENT(execution_context, context.GetNodeName(), "[CalcTilingInfo] End"); | |||
GetContext().SetSessionId(execution_context->session_id); | |||
// update op args by tiling info | |||
block_dim_ = static_cast<uint32_t>(tiling_info.block_dim); | |||
@@ -105,11 +105,6 @@ Status KnownNodeTask::Init(TaskContext &context) { | |||
"known node task allocate workspace failed."); | |||
RECORD_EXECUTION_EVENT(context.GetExecutionContext(), context.GetNodeName(), | |||
"[KnownNodeTask_AllocateWorkspace] End, size %zu", davinci_model_->TotalMemSize()); | |||
bool addr_not_changed = false; | |||
if (davinci_model_->GetRuntimeParam().mem_base == buffer) { | |||
addr_not_changed = true; | |||
} | |||
davinci_model_->SetKnownNodeAddrNotChanged(addr_not_changed); | |||
// update mem base | |||
davinci_model_->UpdateMemBase(static_cast<uint8_t *>(buffer)); | |||
GELOGI("KnownNodeTask::Init mem base is %p, size %lu.", | |||
@@ -237,8 +237,8 @@ Status WhileOpNodeTask::DoExecuteAsync(TaskContext &task_context, const std::fun | |||
} | |||
bool is_continue = false; | |||
GE_CHK_STATUS_RET(ExecuteOneLoop(task_context, is_continue), | |||
"[%s] Failed to execute iteration 0.", | |||
GE_CHK_STATUS_RET(ExecuteCond(task_context, is_continue), | |||
"[%s] Failed to execute cond-subgraph", | |||
task_context.GetNodeName()); | |||
if (!is_continue) { | |||
for (int i = 0; i < task_context.NumInputs(); ++i) { | |||
@@ -259,42 +259,28 @@ Status WhileOpNodeTask::DoExecuteAsync(TaskContext &task_context, const std::fun | |||
} | |||
// backup original input tensor desc | |||
std::vector<GeTensorDesc> ori_input_desc; | |||
std::vector<GeTensorDesc> ori_input_desc(task_context.NumInputs()); | |||
for (int i = 0; i < task_context.NumInputs(); ++i) { | |||
auto tensor_desc = task_context.GetInputDesc(i); | |||
GE_CHECK_NOTNULL(tensor_desc); | |||
ori_input_desc.emplace_back(*tensor_desc); | |||
GE_CHK_STATUS_RET_NOLOG(task_context.GetInputDesc(i, ori_input_desc[i])); | |||
} | |||
int iteration = 1; | |||
while (true) { | |||
int iteration = 0; | |||
while (is_continue) { | |||
++iteration; | |||
GELOGD("[%s] Start to execute, iteration = %d", task_context.GetNodeName(), iteration); | |||
GE_CHK_STATUS_RET(ExecuteOneLoop(task_context, is_continue), | |||
"[%s] Failed to execute iteration %d.", | |||
task_context.GetNodeName(), | |||
iteration); | |||
if (!is_continue) { | |||
GELOGD("[%s] Quit from loop. current iteration = %d", task_context.GetNodeName(), iteration); | |||
break; | |||
} | |||
++iteration; | |||
} | |||
for (int i = 0; i < task_context.NumInputs(); ++i) { | |||
auto input_tensor = task_context.GetInput(i); | |||
auto tensor_desc = task_context.MutableInputDesc(i); | |||
GE_CHECK_NOTNULL(input_tensor); | |||
GE_CHECK_NOTNULL(tensor_desc); | |||
// restore original input tensor desc | |||
*tensor_desc = std::move(ori_input_desc[i]); | |||
GE_CHK_STATUS_RET_NOLOG(task_context.SetOutput(i, *input_tensor)); | |||
} | |||
GELOGD("[%s] Quit from loop. current iteration = %d", task_context.GetNodeName(), iteration); | |||
if (done_callback) { | |||
done_callback(); | |||
} | |||
for (int i = 0; i < task_context.NumInputs(); ++i) { | |||
GE_CHK_STATUS_RET_NOLOG(task_context.UpdateInputDesc(i, ori_input_desc[i])); | |||
} | |||
return SUCCESS; | |||
} | |||
@@ -379,13 +365,6 @@ Status WhileOpNodeTask::MoveOutputs2Inputs(TaskContext &task_context) { | |||
} | |||
Status WhileOpNodeTask::ExecuteOneLoop(TaskContext &task_context, bool &is_continue) const { | |||
GE_CHK_STATUS_RET(ExecuteCond(task_context, is_continue), | |||
"[%s] Failed to execute cond-subgraph", | |||
task_context.GetNodeName()); | |||
if (!is_continue) { | |||
return SUCCESS; | |||
} | |||
GELOGD("[%s] Start to execute body-subgraph.", task_context.GetNodeName()); | |||
GE_CHK_STATUS_RET(ExecuteSubgraph(body_, task_context, nullptr), | |||
"[%s] Failed to execute cond-subgraph", task_context.GetNodeName()); | |||
@@ -396,6 +375,17 @@ Status WhileOpNodeTask::ExecuteOneLoop(TaskContext &task_context, bool &is_conti | |||
"[%s] Failed to move outputs to inputs", | |||
task_context.GetNodeName()); | |||
GE_CHK_STATUS_RET(ExecuteCond(task_context, is_continue), | |||
"[%s] Failed to execute cond-subgraph", | |||
task_context.GetNodeName()); | |||
if (!is_continue) { | |||
for (int i = 0; i < task_context.NumInputs(); ++i) { | |||
auto input_desc = task_context.GetInput(i); | |||
GE_CHECK_NOTNULL(input_desc); | |||
GE_CHK_STATUS_RET_NOLOG(task_context.SetOutput(i, *input_desc)); | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
@@ -80,7 +80,6 @@ class WhileOpNodeTask : public ControlOpNodeTask { | |||
Status ExecuteCond(TaskContext &task_context, bool &is_continue) const; | |||
static Status MoveOutputs2Inputs(TaskContext &task_context); | |||
Status ExecuteOneLoop(TaskContext &task_context, bool &is_continue) const; | |||
private: | |||
@@ -554,5 +554,16 @@ NodeState *TaskContext::GetNodeState() const { | |||
return node_state_; | |||
} | |||
Status TaskContext::GetInputDesc(int index, GeTensorDesc &tensor_desc) const { | |||
return node_item_->GetInputDesc(index, tensor_desc); | |||
} | |||
Status TaskContext::UpdateInputDesc(int index, const GeTensorDesc &tensor_desc) { | |||
return const_cast<NodeItem *>(node_item_)->UpdateInputDesc(index, tensor_desc); | |||
} | |||
Status TaskContext::GetOutputDesc(int index, GeTensorDesc &tensor_desc) const { | |||
return node_item_->GetOutputDesc(index, tensor_desc); | |||
} | |||
} // namespace hybrid | |||
} // namespace ge |
@@ -50,9 +50,12 @@ class TaskContext { | |||
const char *GetNodeName() const; | |||
TensorValue *MutableInput(int index); | |||
ConstGeTensorDescPtr GetInputDesc(int index) const; | |||
Status GetInputDesc(int index, GeTensorDesc &tensor_desc) const; | |||
ConstGeTensorDescPtr GetOutputDesc(int index) const; | |||
Status GetOutputDesc(int index, GeTensorDesc &tensor_desc) const; | |||
GeTensorDescPtr MutableInputDesc(int index) const; | |||
GeTensorDescPtr MutableOutputDesc(int index) const; | |||
Status UpdateInputDesc(int index, const GeTensorDesc &tensor_desc); | |||
void ReleaseInputsAndOutputs(); | |||
bool NeedCallback(); | |||
void ReleaseInput(int index); | |||
@@ -34,6 +34,8 @@ const int64_t kDynamicImageSizeNum = 2; | |||
const size_t kMaxDynamicDimNum = 100; | |||
const size_t kMaxNDDimNum = 4; | |||
const size_t kMinNDDimNum = 1; | |||
const size_t kSquareBracketsSize = 2; | |||
const size_t kRangePairSize = 2; | |||
// datatype/formats from user to GE, Unified to util interface file later | |||
const std::map<std::string, ge::DataType> kOutputTypeSupportDatatype = { | |||
{"FP32", ge::DT_FLOAT}, {"FP16", ge::DT_FLOAT16}, {"UINT8", ge::DT_UINT8}}; | |||
@@ -292,7 +294,8 @@ bool ParseSingleShapeRange(std::string &shape_range, vector<pair<int64_t, int64_ | |||
} | |||
} | |||
bool is_square_brackets = (square_brackets[0] == '[') && (square_brackets[1] == ']') && (square_brackets.size() == 2); | |||
bool is_square_brackets = (square_brackets[0] == '[') && (square_brackets[1] == ']') && | |||
(square_brackets.size() == kSquareBracketsSize); | |||
if (!is_square_brackets) { | |||
ErrorManager::GetInstance().ATCReportErrMessage("E10048", {"shape_range", "reason", "sample"}, | |||
{shape_range, kInputShapeRangeInvalid, kInputShapeRangeSample2}); | |||
@@ -320,7 +323,7 @@ bool ParseSingleShapeRange(std::string &shape_range, vector<pair<int64_t, int64_ | |||
} else { | |||
range_pair = std::make_pair(range_value, range_value); | |||
} | |||
} else if (range_pair_set.size() == 2) { | |||
} else if (range_pair_set.size() == kRangePairSize) { | |||
// unknown dim, should get range. | |||
long range_left = 0; | |||
if (!StringToLongNoThrow(range_pair_set.at(0), range_left)) { | |||
@@ -332,9 +335,10 @@ bool ParseSingleShapeRange(std::string &shape_range, vector<pair<int64_t, int64_ | |||
} | |||
if (range_left < 0 || (range_right < 0)) { | |||
ErrorManager::GetInstance().ATCReportErrMessage("E10048", {"shape_range", "reason", "sample"}, | |||
{shape_range, kInputShapeRangeInvalid, kInputShapeRangeSample3}); | |||
{shape_range, kInputShapeRangeInvalid, kInputShapeRangeSample3}); | |||
GELOGE(PARAM_INVALID, | |||
"Parse input parameter [--input_shape_range]'s shape range[%s] failed, reason: %s, correct sample is %s.", | |||
"Parse input parameter [--input_shape_range]'s shape range[%s] failed," | |||
"reason: %s, correct sample is %s.", | |||
shape_range.c_str(), kInputShapeRangeInvalid, kInputShapeRangeSample3); | |||
return false; | |||
} | |||
@@ -383,7 +387,7 @@ bool ParseInputShapeRange(const std::string &shape_range, | |||
} | |||
shape_range_map.emplace(make_pair(StringUtils::Trim(shape_range_pair_vec[0]), shape_range_val)); | |||
} | |||
return true; | |||
} | |||
@@ -402,7 +406,7 @@ Status CheckDynamicInputParamValid(string &dynamic_batch_size, string &dynamic_i | |||
if (param_size == 0) { | |||
if (!input_shape_range.empty()) { | |||
std::map<string, std::vector<std::pair<int64_t, int64_t>>> shape_range_map; | |||
if(!ParseInputShapeRange(input_shape_range, shape_range_map)) { | |||
if (!ParseInputShapeRange(input_shape_range, shape_range_map)) { | |||
GELOGE(ge::PARAM_INVALID, "Failed to parse input shape range: %s", input_shape_range.c_str()); | |||
return ge::PARAM_INVALID; | |||
} | |||
@@ -793,7 +793,7 @@ FMK_FUNC_HOST_VISIBILITY Status ParseGraph(ge::Graph &graph, const std::map<stri | |||
std::string input_shape_range; | |||
ParseAtcParms(atc_params, INPUT_SHAPE_RANGE, input_shape_range); | |||
GE_RETURN_WITH_LOG_IF_ERROR(UpdateDynamicInputShapeRange(compute_graph, input_shape_range), | |||
"Update input shape range failed"); | |||
"Update input shape range failed"); | |||
GELOGI("ATC parser success."); | |||
@@ -42,9 +42,9 @@ class GE_FUNC_VISIBILITY GeLog { | |||
public: | |||
static uint64_t GetTid() { | |||
#ifdef __GNUC__ | |||
thread_local static uint64_t tid = static_cast<uint64_t>(syscall(__NR_gettid)); | |||
uint64_t tid = static_cast<uint64_t>(syscall(__NR_gettid)); | |||
#else | |||
thread_local static uint64_t tid = static_cast<uint64_t>(GetCurrentThreadId()); | |||
uint64_t tid = static_cast<uint64_t>(GetCurrentThreadId()); | |||
#endif | |||
return tid; | |||
} | |||
@@ -52,7 +52,7 @@ class GE_FUNC_VISIBILITY StringUtils { | |||
return s; | |||
} | |||
// lint -esym(551,*) | |||
static std::string &Rtrim(std::string &s) { /*lint !e618*/ | |||
static std::string &Rtrim(std::string &s) { /*lint !e618*/ | |||
#if __cplusplus >= 201103L | |||
(void)s.erase(s.begin(), std::find_if(s.begin(), s.end(), [](int c) { return !std::isspace(c); })); | |||
#else | |||
@@ -76,8 +76,8 @@ class GE_FUNC_VISIBILITY StringUtils { | |||
/// @param [in] delim separator | |||
/// @return string array after segmentation | |||
/// | |||
static std::vector<std::string> Split(const std::string &str, char delim) { | |||
std::vector<std::string> elems; | |||
static std::vector<std::string> Split(const std::string &str, char delim) { /*lint !e1077*/ | |||
std::vector<std::string> elems; /*lint !e1077*/ | |||
if (str.empty()) { | |||
elems.emplace_back(""); | |||
@@ -1 +1 @@ | |||
Subproject commit 0c4602a4615a9368b06633a5087e2114518f29ca | |||
Subproject commit 8cf3c51d53a9f4ebd6d601a2383f62788e3b8176 |
@@ -52,34 +52,34 @@ TEST_F(UtestFormatTransfer, build_unsupported_transfer) { | |||
EXPECT_EQ(transfer2, nullptr); | |||
} | |||
// TEST_F(UtestFormatTransfer, get_size_by_data_type) { | |||
// EXPECT_EQ(GetSizeByDataType(DT_FLOAT), 4); | |||
// EXPECT_EQ(GetSizeByDataType(DT_FLOAT16), 2); | |||
// EXPECT_EQ(GetSizeByDataType(DT_INT8), 1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_INT16), 2); | |||
// EXPECT_EQ(GetSizeByDataType(DT_UINT16), 2); | |||
// EXPECT_EQ(GetSizeByDataType(DT_UINT8), 1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_INT32), 4); | |||
// EXPECT_EQ(GetSizeByDataType(DT_INT64), 8); | |||
// EXPECT_EQ(GetSizeByDataType(DT_UINT32), 4); | |||
// EXPECT_EQ(GetSizeByDataType(DT_UINT64), 8); | |||
// EXPECT_EQ(GetSizeByDataType(DT_BOOL), 1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_DOUBLE), 8); | |||
// EXPECT_EQ(GetSizeByDataType(DT_STRING), -1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_DUAL_SUB_INT8), 1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_DUAL_SUB_UINT8), 1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_COMPLEX64), 8); | |||
// EXPECT_EQ(GetSizeByDataType(DT_COMPLEX128), 16); | |||
// EXPECT_EQ(GetSizeByDataType(DT_QINT8), 1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_QINT16), 2); | |||
// EXPECT_EQ(GetSizeByDataType(DT_QINT32), 4); | |||
// EXPECT_EQ(GetSizeByDataType(DT_QUINT8), 1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_QUINT16), 2); | |||
// EXPECT_EQ(GetSizeByDataType(DT_RESOURCE), -1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_STRING_REF), -1); | |||
// EXPECT_EQ(GetSizeByDataType(DT_DUAL), 5); | |||
// EXPECT_EQ(GetSizeByDataType(DT_UNDEFINED), -1); | |||
// EXPECT_EQ(DT_UNDEFINED, 27); | |||
// } | |||
TEST_F(UtestFormatTransfer, get_size_by_data_type) { | |||
EXPECT_EQ(GetSizeByDataType(DT_FLOAT), 4); | |||
EXPECT_EQ(GetSizeByDataType(DT_FLOAT16), 2); | |||
EXPECT_EQ(GetSizeByDataType(DT_INT8), 1); | |||
EXPECT_EQ(GetSizeByDataType(DT_INT16), 2); | |||
EXPECT_EQ(GetSizeByDataType(DT_UINT16), 2); | |||
EXPECT_EQ(GetSizeByDataType(DT_UINT8), 1); | |||
EXPECT_EQ(GetSizeByDataType(DT_INT32), 4); | |||
EXPECT_EQ(GetSizeByDataType(DT_INT64), 8); | |||
EXPECT_EQ(GetSizeByDataType(DT_UINT32), 4); | |||
EXPECT_EQ(GetSizeByDataType(DT_UINT64), 8); | |||
EXPECT_EQ(GetSizeByDataType(DT_BOOL), 1); | |||
EXPECT_EQ(GetSizeByDataType(DT_DOUBLE), 8); | |||
EXPECT_EQ(GetSizeByDataType(DT_STRING), -1); | |||
EXPECT_EQ(GetSizeByDataType(DT_DUAL_SUB_INT8), 1); | |||
EXPECT_EQ(GetSizeByDataType(DT_DUAL_SUB_UINT8), 1); | |||
EXPECT_EQ(GetSizeByDataType(DT_COMPLEX64), 8); | |||
EXPECT_EQ(GetSizeByDataType(DT_COMPLEX128), 16); | |||
EXPECT_EQ(GetSizeByDataType(DT_QINT8), 1); | |||
EXPECT_EQ(GetSizeByDataType(DT_QINT16), 2); | |||
EXPECT_EQ(GetSizeByDataType(DT_QINT32), 4); | |||
EXPECT_EQ(GetSizeByDataType(DT_QUINT8), 1); | |||
EXPECT_EQ(GetSizeByDataType(DT_QUINT16), 2); | |||
EXPECT_EQ(GetSizeByDataType(DT_RESOURCE), 8); | |||
EXPECT_EQ(GetSizeByDataType(DT_STRING_REF), -1); | |||
EXPECT_EQ(GetSizeByDataType(DT_DUAL), 5); | |||
EXPECT_EQ(GetSizeByDataType(DT_UNDEFINED), -1); | |||
EXPECT_EQ(DT_UNDEFINED, 28); | |||
} | |||
} // namespace formats | |||
} // namespace ge |
@@ -141,6 +141,12 @@ TEST_F(UtestDavinciModel, init_success) { | |||
ProfilingManager::Instance().is_load_profiling_ = false; | |||
} | |||
TEST_F(UtestDavinciModel, CheckCapability) { | |||
DavinciModel model(0, nullptr); | |||
bool is_support = false; | |||
(void)model.CheckCapability(FEATURE_TYPE_MEMORY, MEMORY_INFO_TS_4G_LIMITED, is_support); | |||
} | |||
TEST_F(UtestDavinciModel, init_data_op) { | |||
DavinciModel model(0, nullptr); | |||
model.ge_model_ = make_shared<GeModel>(); | |||
@@ -67,4 +67,22 @@ TEST_F(UtestModelUtils, get_var_addr_rdma_hbm) { | |||
EXPECT_EQ(reinterpret_cast<uint8_t *>(offset), var_addr); | |||
VarManager::Instance(runtime_param.session_id)->Destory(); | |||
} | |||
TEST_F(UtestModelUtils, get_var_addr_rdma_hbm_negative_offset) { | |||
uint8_t test = 2; | |||
uint8_t *pf = &test; | |||
RuntimeParam runtime_param; | |||
runtime_param.session_id = 0; | |||
runtime_param.logic_var_base = 0; | |||
runtime_param.var_base = pf; | |||
int64_t offset = -1; | |||
EXPECT_EQ(VarManager::Instance(runtime_param.session_id)->Init(0, 0, 0, 0), SUCCESS); | |||
EXPECT_NE(VarManager::Instance(runtime_param.session_id)->var_resource_, nullptr); | |||
VarManager::Instance(runtime_param.session_id)->var_resource_->var_offset_map_[offset] = RT_MEMORY_RDMA_HBM; | |||
std::shared_ptr<OpDesc> op_desc = std::make_shared<OpDesc>("test", "test"); | |||
uint8_t *var_addr = nullptr; | |||
EXPECT_NE(ModelUtils::GetVarAddr(runtime_param, op_desc, offset, var_addr), SUCCESS); | |||
VarManager::Instance(runtime_param.session_id)->Destory(); | |||
} | |||
} // namespace ge |
@@ -256,3 +256,77 @@ TEST_F(UtestGeHybrid, init_weight_success) { | |||
HybridModelExecutor executor(model_ptr, device_id, stream); | |||
executor.Init(); | |||
} | |||
TEST_F(UtestGeHybrid, unfold_subgraphs_success) { | |||
ComputeGraphPtr merged_graph = nullptr; | |||
ComputeGraphPtr sub_sub_graph1 = std::make_shared<ComputeGraph>("while_cond"); | |||
OpDescPtr sub_sub_graph_while_cond_data_op_desc = CreateOpDesc("cond_data", DATA); | |||
NodePtr sub_sub_graph_while_cond_data_node = sub_sub_graph1->AddNode(sub_sub_graph_while_cond_data_op_desc); | |||
ComputeGraphPtr sub_sub_graph2 = std::make_shared<ComputeGraph>("while_body"); | |||
/*OpDescPtr sub_sub_graph_while_body_const_op_desc = CreateOpDesc("body_const", CONSTANT); | |||
NodePtr sub_sub_graph_while_body_const_node = sub_sub_graph2->AddNode(sub_sub_graph_while_body_const_op_desc);*/ | |||
OpDescPtr sub_sub_graph_while_body_data_op_desc = CreateOpDesc("body_data", DATA); | |||
NodePtr sub_sub_graph_while_body_data_node = sub_sub_graph2->AddNode(sub_sub_graph_while_body_data_op_desc); | |||
sub_sub_graph2->SetGraphUnknownFlag(true); | |||
/*OpDescPtr sub_sub_graph_while_body_add_op_desc = CreateOpDesc("body_add", ADD); | |||
NodePtr sub_sub_graph_while_body_add_node = sub_sub_graph2->AddNode(sub_sub_graph_while_body_add_node); | |||
sub_sub_graph_while_body_add_node->AddLinkFrom(sub_sub_graph_while_body_data_node); | |||
sub_sub_graph_while_body_add_node->AddLinkFrom(sub_sub_graph_while_body_const_node);*/ | |||
ComputeGraphPtr sub_graph = std::make_shared<ComputeGraph>("sub_graph"); | |||
OpDescPtr sub_graph_while_op_desc = CreateOpDesc("while", WHILE); | |||
NodePtr sub_graph_while_node = sub_graph->AddNode(sub_graph_while_op_desc); | |||
sub_graph->SetGraphUnknownFlag(true); | |||
sub_graph_while_node->GetOpDesc()->AddSubgraphName("while_cond"); | |||
sub_graph_while_node->GetOpDesc()->AddSubgraphName("while_body"); | |||
sub_graph_while_node->GetOpDesc()->SetSubgraphInstanceName(0, "while_cond"); | |||
sub_graph_while_node->GetOpDesc()->SetSubgraphInstanceName(1, "while_body"); | |||
ComputeGraphPtr root_graph = std::make_shared<ComputeGraph>("root_graph"); | |||
auto partitioned_call_op_desc = MakeShared<OpDesc>("partitioned_call", PARTITIONEDCALL); | |||
auto partitioned_call_node = root_graph->AddNode(partitioned_call_op_desc); | |||
partitioned_call_node->GetOpDesc()->AddSubgraphName("sub_graph"); | |||
partitioned_call_node->GetOpDesc()->SetSubgraphInstanceName(0, "sub_graph"); | |||
root_graph->AddSubGraph(sub_sub_graph1); | |||
root_graph->AddSubGraph(sub_sub_graph2); | |||
sub_sub_graph1->SetParentGraph(root_graph); | |||
sub_sub_graph2->SetParentGraph(root_graph); | |||
sub_sub_graph1->SetParentNode(sub_graph_while_node); | |||
sub_sub_graph2->SetParentNode(sub_graph_while_node); | |||
root_graph->AddSubGraph(sub_graph); | |||
sub_graph->SetParentNode(partitioned_call_node); | |||
sub_graph->SetParentGraph(root_graph); | |||
GeRootModelPtr root_model = MakeShared<ge::GeRootModel>(root_graph); | |||
HybridModel hybrid_model(root_model); | |||
HybridModelBuilder hybrid_model_builder(hybrid_model); | |||
// subgraph num before unfold: 1 | |||
EXPECT_EQ(root_graph->GetAllSubgraphs().size(), 3); | |||
// num of nodes in root_graph before unfold: 1, name: partitioned_call | |||
EXPECT_EQ(root_graph->GetDirectNodesSize(), 1); | |||
EXPECT_EQ(root_graph->GetDirectNode().at(0)->GetName(), "partitioned_call"); | |||
// two sub_sub_graphs: while cond & while body, their parent graph is "subgraph" before unfold | |||
EXPECT_EQ(sub_sub_graph1->GetParentGraph()->GetName(), "root_graph"); | |||
EXPECT_EQ(sub_sub_graph1->GetParentGraph()->GetName(), "root_graph"); | |||
// node "cond_data" & "body_data" has owner compute graph "subgraph" before unfold | |||
EXPECT_EQ(sub_graph_while_node->GetOwnerComputeGraph()->GetName(), "sub_graph"); | |||
// unfold success | |||
EXPECT_EQ(hybrid_model_builder.UnfoldSubgraphs(root_graph, merged_graph), SUCCESS); | |||
// subgraph num after unfold: 0 | |||
EXPECT_EQ(merged_graph->GetAllSubgraphs().size(), 2); | |||
// num of nodes in MergedGraph after unfold: 1, name: while | |||
EXPECT_EQ(merged_graph->GetDirectNodesSize(), 1); | |||
EXPECT_EQ(merged_graph->GetDirectNode().at(0)->GetName(), "while"); | |||
// two sub_sub_graphs: while cond & while body, their parent graph is "MergedGraph" after unfold | |||
EXPECT_EQ(sub_sub_graph1->GetParentGraph()->GetName(), "MergedGraph" ); | |||
EXPECT_EQ(sub_sub_graph1->GetParentGraph()->GetName(), "MergedGraph"); | |||
// node "cond_data" & "body_data" has owner compute graph "MergedGraph" before unfold | |||
EXPECT_EQ(sub_graph_while_node->GetOwnerComputeGraph()->GetName(), "MergedGraph"); | |||
} |