remove useless op infershape

mindspore/lite/test/CMakeLists.txt

@@ -121,8 +121,7 @@ endif()
 add_definitions(-DENABLE_V0)
 file(GLOB_RECURSE OPS_SRC ${LITE_DIR}/src/ops/*.cc)
 if(ENABLE_CONVERTER)
-    file(GLOB_RECURSE CONVERTER_OPS_SRC ${CONVERTER_DIR}/ops/*.cc)
+    set(OPS_SRC ${OPS_SRC})
-    set(OPS_SRC ${OPS_SRC} ${CONVERTER_OPS_SRC})
 endif()
 set(TEST_LITE_SRC
         ${TEST_LITE_SRC}

mindspore/lite/tools/converter/CMakeLists.txt

@@ -12,8 +12,6 @@ include(${TOP_DIR}/cmake/external_libs/glog.cmake)
 file(GLOB OPS_SRC ${CMAKE_CURRENT_SOURCE_DIR}/../../src/ops/*.cc
         ${CMAKE_CURRENT_SOURCE_DIR}/../../src/ops/populate/*.cc)
 
-file(GLOB CONVERTER_OPS_SRC ${CMAKE_CURRENT_SOURCE_DIR}/ops/*.cc)
-
 file(GLOB_RECURSE CONVERTER_SRC RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}
         ${CMAKE_CURRENT_SOURCE_DIR}/../flag/flag_parser.cc
         ${CMAKE_CURRENT_SOURCE_DIR}/converter.cc
@@ -145,7 +143,6 @@ ms_build_flatbuffers_lite(TFLITE_FBS_FILES ${CMAKE_CURRENT_SOURCE_DIR}/parser/tf
 set_property(SOURCE ${CONVERTER_SRC} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_LITE)
 set_property(SOURCE ${CCSRC_SRC} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_LITE)
 set_property(SOURCE ${OPS_SRC} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_LITE)
-set_property(SOURCE ${CONVERTER_OPS_SRC} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_LITE)
 set_property(SOURCE ${KERNEL_SRC} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_LITE)
 set_property(SOURCE ${LITE_SRC} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_LITE)
 add_executable(converter_lite
@@ -153,7 +150,6 @@ add_executable(converter_lite
         ${CCSRC_SRC}
         ${CONVERTER_SRC}
         ${OPS_SRC}
-        ${CONVERTER_OPS_SRC}
         ${KERNEL_SRC}
         ${LITE_SRC}
         )

mindspore/lite/tools/converter/ops/enter.cc

@@ -1,56 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include "tools/converter/ops/enter.h"
-#include "src/tensorlist.h"
-
-namespace mindspore {
-namespace lite {
-
-int Enter::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> outputs_) {
-  if (!infer_flag()) {
-    return RET_INFER_INVALID;
-  }
-  for (size_t i = 0; i < inputs_.size(); i++) {
-    auto *input = inputs_[i];
-    auto *output = outputs_[i];
-    if (input == nullptr) {
-      MS_LOG(ERROR) << "input tensor is nullptr";
-      return RET_ERROR;
-    }
-    if (output == nullptr) {
-      MS_LOG(ERROR) << "output tensor is nullptr";
-      return RET_ERROR;
-    }
-    output->set_data_type(input->data_type());
-    output->set_shape(input->shape());
-    output->set_format(input->format());
-    auto data_type = input->data_type();
-    if (data_type != kObjectTypeTensorType) {
-      continue;
-    } else {
-      auto input_tensorlist = reinterpret_cast<TensorList *>(input);
-      auto output_tensorlist = reinterpret_cast<TensorList *>(output);
-      output_tensorlist->set_element_shape(input_tensorlist->element_shape());
-      output_tensorlist->set_max_elements_num(input_tensorlist->max_elements_num());
-      output_tensorlist->set_tensors_data_type(input_tensorlist->tensors_data_type());
-    }
-  }
-  return RET_OK;
-}
-
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/ops/enter.h

@@ -31,7 +31,6 @@ class Enter : public PrimitiveC {
   ~Enter() = default;
   MS_DECLARE_PARENT(Enter, PrimitiveC);
   explicit Enter(schema::PrimitiveT *primitive) : PrimitiveC(primitive) {}
-  int InferShape(std::vector<lite::Tensor *> inputs_, std::vector<lite::Tensor *> outputs_) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/ops/exit.cc

@@ -1,56 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include "tools/converter/ops/exit.h"
-#include "src/tensorlist.h"
-
-namespace mindspore {
-namespace lite {
-
-int Exit::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> outputs_) {
-  if (!infer_flag()) {
-    return RET_INFER_INVALID;
-  }
-  for (size_t i = 0; i < inputs_.size(); i++) {
-    auto *input = inputs_[i];
-    auto *output = outputs_[i];
-    if (input == nullptr) {
-      MS_LOG(ERROR) << "input tensor is nullptr";
-      return RET_ERROR;
-    }
-    if (output == nullptr) {
-      MS_LOG(ERROR) << "output tensor is nullptr";
-      return RET_ERROR;
-    }
-    output->set_data_type(input->data_type());
-    output->set_shape(input->shape());
-    output->set_format(input->format());
-    auto data_type = input->data_type();
-    if (data_type != kObjectTypeTensorType) {
-      continue;
-    } else {
-      auto input_tensorlist = reinterpret_cast<TensorList *>(input);
-      auto output_tensorlist = reinterpret_cast<TensorList *>(output);
-      output_tensorlist->set_element_shape(input_tensorlist->element_shape());
-      output_tensorlist->set_max_elements_num(input_tensorlist->max_elements_num());
-      output_tensorlist->set_tensors_data_type(input_tensorlist->tensors_data_type());
-    }
-  }
-  return RET_OK;
-}
-
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/ops/exit.h

@@ -31,7 +31,6 @@ class Exit : public PrimitiveC {
   ~Exit() = default;
   MS_DECLARE_PARENT(Exit, PrimitiveC);
   explicit Exit(schema::PrimitiveT *primitive) : PrimitiveC(primitive) {}
-  int InferShape(std::vector<lite::Tensor *> inputs_, std::vector<lite::Tensor *> outputs_) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/ops/loop_cond.cc

@@ -1,56 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include "tools/converter/ops/loop_cond.h"
-#include "src/tensorlist.h"
-
-namespace mindspore {
-namespace lite {
-
-int LoopCond::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> outputs_) {
-  if (!infer_flag()) {
-    return RET_INFER_INVALID;
-  }
-  for (size_t i = 0; i < inputs_.size(); i++) {
-    auto *input = inputs_[i];
-    auto *output = outputs_[i];
-    if (input == nullptr) {
-      MS_LOG(ERROR) << "input tensor is nullptr";
-      return RET_ERROR;
-    }
-    if (output == nullptr) {
-      MS_LOG(ERROR) << "output tensor is nullptr";
-      return RET_ERROR;
-    }
-    output->set_data_type(input->data_type());
-    output->set_shape(input->shape());
-    output->set_format(input->format());
-    auto data_type = input->data_type();
-    if (data_type != kObjectTypeTensorType) {
-      continue;
-    } else {
-      auto input_tensorlist = reinterpret_cast<TensorList *>(input);
-      auto output_tensorlist = reinterpret_cast<TensorList *>(output);
-      output_tensorlist->set_element_shape(input_tensorlist->element_shape());
-      output_tensorlist->set_max_elements_num(input_tensorlist->max_elements_num());
-      output_tensorlist->set_tensors_data_type(input_tensorlist->tensors_data_type());
-    }
-  }
-  return RET_OK;
-}
-
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/ops/loop_cond.h

@@ -31,7 +31,6 @@ class LoopCond : public PrimitiveC {
   ~LoopCond() = default;
   MS_DECLARE_PARENT(LoopCond, PrimitiveC);
   explicit LoopCond(schema::PrimitiveT *primitive) : PrimitiveC(primitive) {}
-  int InferShape(std::vector<lite::Tensor *> inputs_, std::vector<lite::Tensor *> outputs_) override;
 };
 }  // namespace lite
 }  // namespace mindspore

mindspore/lite/tools/converter/ops/next_iteration.cc

@@ -1,56 +0,0 @@
-/**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include "tools/converter/ops/next_iteration.h"
-#include "src/tensorlist.h"
-
-namespace mindspore {
-namespace lite {
-
-int NextIteration::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> outputs_) {
-  if (!infer_flag()) {
-    return RET_INFER_INVALID;
-  }
-  for (size_t i = 0; i < inputs_.size(); i++) {
-    auto *input = inputs_[i];
-    auto *output = outputs_[i];
-    if (input == nullptr) {
-      MS_LOG(ERROR) << "input tensor is nullptr";
-      return RET_ERROR;
-    }
-    if (output == nullptr) {
-      MS_LOG(ERROR) << "output tensor is nullptr";
-      return RET_ERROR;
-    }
-    output->set_data_type(input->data_type());
-    output->set_shape(input->shape());
-    output->set_format(input->format());
-    auto data_type = input->data_type();
-    if (data_type != kObjectTypeTensorType) {
-      continue;
-    } else {
-      auto input_tensorlist = reinterpret_cast<TensorList *>(input);
-      auto output_tensorlist = reinterpret_cast<TensorList *>(output);
-      output_tensorlist->set_element_shape(input_tensorlist->element_shape());
-      output_tensorlist->set_max_elements_num(input_tensorlist->max_elements_num());
-      output_tensorlist->set_tensors_data_type(input_tensorlist->tensors_data_type());
-    }
-  }
-  return RET_OK;
-}
-
-}  // namespace lite
-}  // namespace mindspore

mindspore/lite/tools/converter/ops/next_iteration.h

@@ -31,7 +31,6 @@ class NextIteration : public PrimitiveC {
   ~NextIteration() = default;
   MS_DECLARE_PARENT(NextIteration, PrimitiveC);
   explicit NextIteration(schema::PrimitiveT *primitive) : PrimitiveC(primitive) {}
-  int InferShape(std::vector<lite::Tensor *> inputs_, std::vector<lite::Tensor *> outputs_) override;
 };
 }  // namespace lite
 }  // namespace mindspore