add op constantofshape

ge/CMakeLists.txt

@@ -162,6 +162,7 @@ set(TRAIN_SRC_LIST
     "host_kernels/broadcast_args_kernel.cc"
     "host_kernels/broadcast_gradient_args_kernel.cc"
     "host_kernels/cast_kernel.cc"
+    "host_kernels/constant_of_shape_kernel.cc"
     "host_kernels/concat_offset_kernel.cc"
     "host_kernels/concat_v2_kernel.cc"
     "host_kernels/dynamic_stitch_kernel.cc"
@@ -514,6 +515,7 @@ set(INFER_SRC_LIST
     "host_kernels/rank_kernel.cc"
     "host_kernels/broadcast_args_kernel.cc"
     "host_kernels/fill_kernel.cc"
+    "host_kernels/constant_of_shape_kernel.cc"
     "host_kernels/empty_kernel.cc"
     "host_kernels/expanddims_kernel.cc"
     "host_kernels/reshape_kernel.cc"

ge/common/types.cc

@@ -293,6 +293,7 @@ REGISTER_OPTYPE_DEFINE(GETNEXT, "GetNext");
 REGISTER_OPTYPE_DEFINE(INITDATA, "InitData");
 REGISTER_OPTYPE_DEFINE(REFIDENTITY, "RefIdentity");
 REGISTER_OPTYPE_DEFINE(BITCAST, "Bitcast");
+REGISTER_OPTYPE_DEFINE(CONSTANTOFSHAPE, "ConstantOfShape");
 
 /***************Ann special operator*************************/
 REGISTER_OPTYPE_DEFINE(ANN_MEAN, "AnnMean");

ge/ge_local_engine/ops_kernel_store/op/ge_deleted_op.cc

@@ -62,5 +62,6 @@ REGISTER_OP_CREATOR(RefMerge, GeDeletedOp);
 REGISTER_OP_CREATOR(RefSwitch, GeDeletedOp);
 REGISTER_OP_CREATOR(TransShape, GeDeletedOp);
 REGISTER_OP_CREATOR(Bitcast, GeDeletedOp);
+REGISTER_OP_CREATOR(ConstantOfShape, GeDeletedOp);
 }  // namespace ge_local
 }  // namespace ge

ge/host_kernels/constant_of_shape_kernel.cc

@@ -0,0 +1,140 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "host_kernels/constant_of_shape_kernel.h"
+
+#include <memory>
+#include <set>
+
+#include "common/debug/log.h"
+#include "common/fp16_t.h"
+#include "common/op/ge_op_utils.h"
+#include "framework/common/debug/ge_log.h"
+#include "host_kernels/kernel_utils.h"
+#include "graph/utils/type_utils.h"
+#include "inc/kernel_factory.h"
+#include "framework/common/types.h"
+
+namespace ge {
+namespace {
+const size_t kAddInputSize = 1;
+const size_t kAddOutputSize = 1;
+}  // namespace
+
+Status ConstantOfShapeKernel::CheckParam(
+    const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input) {
+
+  GE_CHECK_NOTNULL(op_desc_ptr);
+  // check how many inputs
+  if ((input.size() != kAddInputSize)
+      || (op_desc_ptr->GetOutputsSize() != kAddOutputSize)) {
+    GELOGE(PARAM_INVALID,
+           "Input number must be [%zu], output number must be [%zu].",
+           kAddInputSize, kAddOutputSize);
+    return PARAM_INVALID;
+  }
+  GE_CHECK_NOTNULL(input[0]);
+  // input vector elements must be 1-D or empty tensor
+  auto input_shape = input[0]->GetTensorDesc().GetShape();
+  if (input_shape.GetShapeSize() == 0) {
+    GELOGD("Input 0 is empty tensor.");
+  } else {
+    size_t dim_num = input_shape.GetDimNum();
+    if (dim_num != 1) {
+      GELOGE(PARAM_INVALID, "Shape input must be a 1-D tensor, but got [%zu]",
+              dim_num);
+      return PARAM_INVALID;
+    }
+  }
+  return SUCCESS;
+}
+
+Status ConstantOfShapeKernel::Compute(const ge::OpDescPtr op_desc_ptr,
+                                      const vector<ge::ConstGeTensorPtr> &input,
+                                      vector<ge::GeTensorPtr> &v_output) {
+  GELOGI("ConstantOfShapeKernel in.");
+  if (CheckParam(op_desc_ptr, input) != SUCCESS) {
+    return NOT_CHANGED;
+  }
+
+  GeShape out_shape;
+  int64_t fill_size = 1;
+  Status ret = PARAM_INVALID;
+
+  ConstGeTensorPtr value = MakeShared<const GeTensor>();
+  GE_CHECK_NOTNULL(value);
+  GeTensorPtr output_ptr = MakeShared<GeTensor>(op_desc_ptr->GetOutputDesc(0));
+  GE_CHECK_NOTNULL(output_ptr);
+
+  ConstGeTensorPtr dims = input.at(0);
+  if (dims->GetData().size() == 0) {
+    GELOGI("Input 0 is empty tensor, then output 0 is a scalar.");
+    out_shape = GeShape();
+  } else {
+    std::vector<int64_t> vec_dim;
+    GE_RETURN_IF_ERROR(KernelUtils::CalcDims<int64_t>(dims, vec_dim, fill_size));
+    out_shape = GeShape(vec_dim);
+  }
+
+  DataType data_type;
+  if (!AttrUtils::GetTensor(op_desc_ptr, "value", value)) {
+    GELOGE(FAILED, "Get Attr value failed.");
+    return FAILED;
+  }
+  data_type = value->GetTensorDesc().GetDataType();
+
+  ret = PARAM_INVALID;
+  switch (data_type) {
+#define CASE(dtype, type)                                              \
+  case dtype:                                                          \
+    ret = KernelUtils::GenData(                                        \
+            fill_size,                                                 \
+            *reinterpret_cast<const type *>(value->GetData().data()),  \
+            output_ptr);                                               \
+    break;
+    CASE(DT_FLOAT, float)
+    CASE(DT_FLOAT16, fp16_t)
+    CASE(DT_INT8, int8_t)
+    CASE(DT_INT16, int16_t)
+    CASE(DT_UINT16, uint16_t)
+    CASE(DT_UINT8, uint8_t)
+    CASE(DT_INT32, int32_t)
+    CASE(DT_INT64, int64_t)
+    CASE(DT_UINT32, uint32_t)
+    CASE(DT_UINT64, uint64_t)
+    CASE(DT_BOOL, bool)
+    CASE(DT_DOUBLE, double)
+#undef CASE
+    default:
+      GELOGE(PARAM_INVALID, "Invalid data type: [%s]",
+             TypeUtils::DataTypeToSerialString(data_type).c_str());
+      break;
+  }
+  if (ret != SUCCESS) {
+    GELOGE(ret, "GenData failed, data_type: [%s]",
+           TypeUtils::DataTypeToSerialString(data_type).c_str());
+    return ret;
+  }
+  output_ptr->MutableTensorDesc().SetShape(out_shape);
+  output_ptr->MutableTensorDesc().SetDataType(data_type);
+  v_output.push_back(output_ptr);
+
+  GELOGI("ConstantOfShapeKernel success.");
+  return SUCCESS;
+}
+
+REGISTER_KERNEL(CONSTANTOFSHAPE, ConstantOfShapeKernel);
+}  // namespace ge

ge/host_kernels/constant_of_shape_kernel.h

@@ -0,0 +1,36 @@
+/**
+ * Copyright 2020 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef GE_GRAPH_PASSES_FOLDING_KERNELCONSTANT_OF_SHAPE_KERNEL_H_
+#define GE_GRAPH_PASSES_FOLDING_KERNELCONSTANT_OF_SHAPE_KERNEL_H_
+
+#include <vector>
+
+#include "inc/kernel.h"
+
+namespace ge {
+class ConstantOfShapeKernel : public Kernel {
+ public:
+  Status Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
+                 std::vector<GeTensorPtr> &v_output) override;
+
+ private:
+  Status CheckParam(const OpDescPtr &op_desc_ptr,
+                    const std::vector<ConstGeTensorPtr> &input);
+};
+}  // namespace ge
+
+#endif  // GE_GRAPH_PASSES_FOLDING_KERNELCONSTANT_OF_SHAPE_KERNEL_H_

inc/framework/common/types.h

@@ -340,6 +340,7 @@ REGISTER_OPTYPE_DECLARE(INITDATA, "InitData");
 REGISTER_OPTYPE_DECLARE(TRANSSHAPE, "TransShape")
 REGISTER_OPTYPE_DECLARE(REFIDENTITY, "RefIdentity");
 REGISTER_OPTYPE_DECLARE(BITCAST, "Bitcast");
+REGISTER_OPTYPE_DECLARE(CONSTANTOFSHAPE, "ConstantOfShape");
 
 // ANN dedicated operator
 REGISTER_OPTYPE_DECLARE(ANN_MEAN, "AnnMean");