unify primitive : add conv2d's primitive C & checkfunction

mindspore/ccsrc/CMakeLists.txt

@@ -149,7 +149,9 @@ add_subdirectory(${CMAKE_SOURCE_DIR}/mindspore/core/utils util)
 list(APPEND SUB_OBJECTS_SRC $<TARGET_OBJECTS:_mindspore_core_utils_obj>)
 add_subdirectory(${CMAKE_SOURCE_DIR}/mindspore/core/ir ir)
 list(APPEND SUB_OBJECTS_SRC $<TARGET_OBJECTS:_mindspore_ir_obj>)
-add_dependencies(_mindspore_core_utils_obj _mindspore_base_obj _mindspore_ir_obj _mindspore_abstract_obj proto_input )
+add_subdirectory(${CMAKE_SOURCE_DIR}/mindspore/core/c_ops c_ops)
+list(APPEND SUB_OBJECTS_SRC $<TARGET_OBJECTS:_mindspore_c_ops_obj>)
+add_dependencies(_mindspore_core_utils_obj _mindspore_base_obj _mindspore_ir_obj _mindspore_abstract_obj _mindspore_c_ops_obj proto_input)
 
 set_property(SOURCE ${SUB_OBJECTS_SRC} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_ME)
 add_library(mindspore STATIC ${SUB_OBJECTS_SRC})

mindspore/core/c_ops/CMakeLists.txt

@@ -0,0 +1,2 @@
+file(GLOB_RECURSE _C_OPS_ALL_SRC_FILES RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} "*.cc")
+add_library(_mindspore_c_ops_obj OBJECT ${_C_OPS_ALL_SRC_FILES})

mindspore/core/c_ops/conv2d.cc

@@ -0,0 +1,139 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2019-2020 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 "c_ops/conv2d.h"
+#include <string>
+#include <algorithm>
+#include <memory>
+#include <set>
+#include <vector>
+#include "utils/check_convert_utils.h"
+
+namespace mindspore {
+namespace {
+using PrimConv2dPtr = std::shared_ptr<Conv2d>;
+abstract::ShapePtr InferShape(const PrimitivePtr &primitive, const std::vector<AbstractBasePtr> &input_args) {
+  MS_EXCEPTION_IF_NULL(primitive);
+  auto conv_prim = primitive->cast<PrimConv2dPtr>();
+  MS_EXCEPTION_IF_NULL(conv_prim);
+  auto prim_name = conv_prim->name();
+  CheckAndConvertUtils::CheckInRange("Conv2d Infer", input_args.size(), kIncludeLeft, {2, 3}, prim_name);
+  auto w_shape = CheckAndConvertUtils::ConvertShapePtrToShape("w_shape", input_args[0]->GetShapeTrack(), prim_name);
+  auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShape("x_shape", input_args[1]->GetShapeTrack(), prim_name);
+
+  CheckAndConvertUtils::CheckInteger("weight rank", w_shape.size(), kEqual, 4, prim_name);
+  CheckAndConvertUtils::CheckInteger("x rank", x_shape.size(), kEqual, 4, prim_name);
+  CheckAndConvertUtils::Check("x_shape[1] / group", x_shape[1] / conv_prim->GetGroup(), kEqual, "w_shape[1]",
+                              w_shape[1], conv_prim->name());
+  auto out_channel = conv_prim->GetOutputChannel();
+  CheckAndConvertUtils::Check("out_channel", out_channel, kEqual, "w_shape[0]", w_shape[0], conv_prim->name());
+  std::vector<int> temp_w;
+  std::copy(w_shape.begin() + 2, w_shape.end(), std::back_inserter(temp_w));
+  CheckAndConvertUtils::Check("kernel_size", conv_prim->GetKernelSize(), kEqual, "w_shape[2:4]", temp_w,
+                              conv_prim->name());
+
+  auto kernel_size_h = w_shape[2];
+  auto kernel_size_w = w_shape[3];
+  auto stride = conv_prim->GetStride();
+  auto dilation = conv_prim->GetDilation();
+  auto stride_h = stride[2];
+  auto stride_w = stride[3];
+  auto dilation_h = dilation[2];
+  auto dilation_w = dilation[3];
+  int h_out = -1;
+  int w_out = -1;
+  std::vector<int> pad_list(4, 0);
+  auto pad_mode = conv_prim->GetPadMode();
+  if (pad_mode == "valid") {
+    h_out = ceil((x_shape[2] - dilation_h * (kernel_size_h - 1)) / stride_h);
+    w_out = ceil((x_shape[3] - dilation_w * (kernel_size_w - 1)) / stride_w);
+  } else if (pad_mode == "same") {
+    h_out = ceil(x_shape[2] / stride_h);
+    w_out = ceil(x_shape[3] / stride_w);
+
+    auto pad_needed_h = std::max(0, (h_out - 1) * stride_h + dilation_h * (kernel_size_h - 1) + 1 - x_shape[2]);
+    pad_list.emplace_back(floor(pad_needed_h / 2));
+    pad_list.emplace_back(pad_needed_h / 2);
+    auto pad_needed_w = std::max(0, (w_out - 1) * stride_w + dilation_w * (kernel_size_w - 1) + 1 - x_shape[3]);
+    auto pad_left = floor(pad_needed_w / 2);
+    pad_list.emplace_back(pad_left);
+    pad_list.emplace_back(pad_needed_h - pad_left);
+  } else if (pad_mode == "pad") {
+    std::copy(conv_prim->GetPad().begin(), conv_prim->GetPad().end(), std::back_inserter(pad_list));
+    auto pad_top = conv_prim->GetPad()[0];
+    auto pad_bottom = conv_prim->GetPad()[1];
+    auto pad_right = conv_prim->GetPad()[2];
+    auto pad_left = conv_prim->GetPad()[3];
+
+    h_out = 1 + (x_shape[2] + pad_top + pad_bottom - kernel_size_h - (kernel_size_h - 1) * (dilation_h - 1)) / stride_h;
+    w_out = 1 + (x_shape[3] + pad_left + pad_right - kernel_size_w - (kernel_size_w - 1) * (dilation_w - 1)) / stride_w;
+    h_out = floor(h_out);
+    w_out = floor(w_out);
+  }
+  conv_prim->SetPadList(pad_list);
+  std::vector<int> out_shape = {x_shape[0], out_channel, h_out, w_out};
+  return std::make_shared<abstract::Shape>(out_shape);
+}
+
+TypePtr InferType(const PrimitivePtr &prim, const std::vector<AbstractBasePtr> &input_args) {
+  CheckAndConvertUtils::CheckInRange("", input_args.size(), kIncludeLeft, {2, 3}, prim->name());
+  for (const auto &item : input_args) {
+    MS_EXCEPTION_IF_NULL(item);
+  }
+  auto x_type = CheckAndConvertUtils::ConvertTypePtrToTypeId("x_dtype", input_args[0]->GetTypeTrack(), prim->name());
+  const std::set<TypeId> valid_types = {kNumberTypeInt8, kNumberTypeInt32, kNumberTypeFloat16, kNumberTypeFloat32};
+  std::map<std::string, TypePtr> types;
+  types.emplace("x", input_args[0]->GetTypeTrack());
+  types.emplace("w", input_args[1]->GetTypeTrack());
+  CheckAndConvertUtils::CheckTensorTypeSame(types, valid_types, prim->name());
+  if (x_type == kNumberTypeInt8) {
+    return std::make_shared<TensorType>(TypeIdToType(kNumberTypeInt32));
+  }
+  return std::make_shared<TensorType>(TypeIdToType(x_type));
+}
+}  // namespace
+void Conv2d::Init(int out_channel, const std::vector<int> &kernel_size, int mode, const std::string &pad_mode,
+                  const std::vector<int> &pad, const std::vector<int> &stride, const std::vector<int> &dilation,
+                  int group) {
+  auto prim_name = this->name();
+  this->AddAttr("data_format", MakeValue("NCHW"));
+  this->AddAttr("offset_a", MakeValue(0));
+  this->SetKernelSize(CheckAndConvertUtils::CheckPositiveVector(kKernelSize, kernel_size, prim_name));
+  this->SetStride(CheckAndConvertUtils::CheckPositiveVector(kStride, stride, this->name(), true, true));
+  this->SetDilation(CheckAndConvertUtils::CheckPositiveVector(kDilation, dilation, this->name(), true, true));
+  this->SetPadMode(CheckAndConvertUtils::CheckString(kPadMode, pad_mode, {"valid", "same", "pad"}, prim_name));
+  CheckAndConvertUtils::CheckInteger("pad size", pad.size(), kEqual, 4, prim_name);
+  if (pad_mode == "pad") {
+    for (auto item : pad) {
+      CheckAndConvertUtils::Check("pad item", item, kGreaterEqual, "zeros list", 0, prim_name);
+    }
+  } else {
+    CheckAndConvertUtils::Check(kPad, pad, kEqual, "zeros list", {0, 0, 0, 0}, prim_name);
+  }
+  this->SetPad(CheckAndConvertUtils::CheckPositiveVector(kPad, pad, this->name(), true, true));
+  this->SetMode(CheckAndConvertUtils::CheckInteger("mode", mode, kEqual, 1, prim_name));
+  this->SetOutChannel(CheckAndConvertUtils::CheckInteger("out_channel", out_channel, kGreaterThan, 0, prim_name));
+  this->SetGroup(CheckAndConvertUtils::CheckInteger("group", group, kGreaterThan, 0, prim_name));
+}
+
+AbstractBasePtr Conv2dInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
+                            const std::vector<AbstractBasePtr> &input_args) {
+  return std::make_shared<abstract::AbstractTensor>(InferType(primitive, input_args),
+                                                    InferShape(primitive, input_args)->shape());
+}
+}  // namespace mindspore

mindspore/core/c_ops/conv2d.h

@@ -0,0 +1,94 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2019-2020 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 MINDSPORE_CORE_C_OPS_CONV2D_H
+#define MINDSPORE_CORE_C_OPS_CONV2D_H
+#include <map>
+#include <vector>
+#include <string>
+#include "c_ops/primitive_c.h"
+#include "abstract/abstract_value.h"
+#include "utils/check_convert_utils.h"
+namespace mindspore {
+class Conv2d : public PrimitiveC {
+ public:
+  Conv2d() : PrimitiveC(kConv2DName) { InitIOName({"x", "w"}, {"output"}); }
+  void Init(int out_channel, const std::vector<int> &kernel_size, int mode = 1, const std::string &pad_mode = "valid",
+            const std::vector<int> &pad = {0, 0, 0, 0}, const std::vector<int> &stride = {1, 1, 1, 1},
+            const std::vector<int> &dilation = {1, 1, 1, 1}, int group = 1);
+  std::vector<int> GetKernelSize() const {
+    auto value_ptr = this->GetAttr(kKernelSize);
+    return GetValue<std::vector<int>>(value_ptr);
+  }
+  std::vector<int> GetStride() const {
+    auto value_ptr = GetAttr(kStride);
+    return GetValue<std::vector<int>>(value_ptr);
+  }
+  std::vector<int> GetDilation() const {
+    auto value_ptr = GetAttr(kDilation);
+    return GetValue<std::vector<int>>(value_ptr);
+  }
+  std::string GetPadMode() const {
+    auto value_ptr = this->GetAttr(kPadMode);
+    return GetValue<string>(value_ptr);
+  }
+  std::vector<int> GetPad() const {
+    auto value_ptr = this->GetAttr(kPad);
+    return GetValue<std::vector<int>>(value_ptr);
+  }
+  int GetMode() const {
+    auto value_ptr = this->GetAttr(kMode);
+    return GetValue<int>(value_ptr);
+  }
+
+  int GetGroup() const {
+    auto value_ptr = this->GetAttr(kGroup);
+    return GetValue<int>(value_ptr);
+  }
+  int GetOutputChannel() const {
+    auto value_ptr = this->GetAttr(kOutputChannel);
+    return GetValue<int>(value_ptr);
+  }
+
+  void SetKernelSize(const std::vector<int> &kernel_size) { this->AddAttr(kKernelSize, MakeValue(kernel_size)); }
+  void SetStride(const std::vector<int> &stride) { this->AddAttr(kStride, MakeValue(stride)); }
+  void SetDilation(const std::vector<int> &dilation) { this->AddAttr(kDilation, MakeValue(dilation)); }
+  void SetPadMode(const std::string &pad_mode) { this->AddAttr(kPadMode, MakeValue(pad_mode)); }
+  void SetPad(const std::vector<int> &pad) { this->AddAttr(kPad, MakeValue(pad)); }
+  void SetMode(int mode) { this->AddAttr(kMode, MakeValue(mode)); }
+  void SetGroup(int group) { this->AddAttr(kGroup, MakeValue(group)); }
+  void SetOutChannel(int output_channel) { this->AddAttr(kOutputChannel, MakeValue(output_channel)); }
+  void SetPadList(const std::vector<int> &pad_list) { this->AddAttr(kPadList, MakeValue(pad_list)); }
+
+ private:
+  inline static const string kKernelSize = "kernel_size";
+  inline static const string kStride = "stride";
+  inline static const string kDilation = "dilation";
+  inline static const string kPadMode = "pad_mode";
+  inline static const string kPad = "pad";
+  inline static const string kMode = "mode";
+  inline static const string kGroup = "group";
+  inline static const string kOutputChannel = "output channel";
+  inline static const string kPadList = "pad_list";
+  inline static const string kConv2DName = "Conv2D";
+};
+AbstractBasePtr Conv2dInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive,
+                            const std::vector<AbstractBasePtr> &input_args);
+}  // namespace mindspore
+
+#endif  // MINDSPORE_CORE_C_OPS_CONV2D_H

mindspore/core/c_ops/primitive_c.h

@@ -0,0 +1,37 @@
+/**
+ * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
+ *
+ * Copyright 2019-2020 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 MINDSPORE_CORE_C_OPS_PRIMITIVE_C_H
+#define MINDSPORE_CORE_C_OPS_PRIMITIVE_C_H
+#include <string>
+#include <vector>
+#include "ir/primitive.h"
+#include "ir/value.h"
+namespace mindspore {
+class PrimitiveC : public Primitive {
+ public:
+  explicit PrimitiveC(const std::string &name) : Primitive(name) { attrs_ = {}; }
+
+ protected:
+  void InitIOName(const std::vector<std::string> &inputs_name, const std::vector<std::string> &outputs_name) {
+    this->AddAttr("input_names", MakeValue(inputs_name));
+    this->AddAttr("output_names", MakeValue(outputs_name));
+  }
+};
+}  // namespace mindspore
+#endif  // MINDSPORE_CORE_C_OPS_PRIMITIVE_C_H

mindspore/core/ir/func_graph.cc

@@ -632,6 +632,19 @@ void FuncGraph::CheckOrder() {
     MS_LOG(DEBUG) << "Check order okay.";
   }
 }
+CNodePtr FuncGraph::NewCNode(const PrimitivePtr &primitive, const std::vector<AnfNodePtr> &inputs) {
+  auto primitive_node = std::make_shared<ValueNode>(primitive);
+  std::vector<AnfNodePtr> input_node_list = {primitive_node};
+  std::copy(inputs.begin(), inputs.end(), std::back_inserter(input_node_list));
+  return NewCNode(input_node_list);
+}
+
+ParameterPtr FuncGraph::add_parameter(const tensor::MetaTensorPtr &meta_tensor) {
+  auto parameter = add_parameter();
+  parameter->set_default_param(MakeValue(meta_tensor));
+  parameter->set_abstract(meta_tensor->ToAbstract());
+  return parameter;
+}
 
 size_t NewFgSeenGeneration() {
   static size_t fg_seen_generation = 0;

mindspore/core/ir/func_graph.h

@@ -170,7 +170,9 @@ class FuncGraph : public FuncGraphBase {
 
   // create a cnode with given inputs, bound to this graph, and set to specific scope
   CNodePtr NewCNodeWithScope(const std::vector<AnfNodePtr> &inputs, const ScopePtr &scope);
+  virtual CNodePtr NewCNode(const PrimitivePtr &primitive, const std::vector<AnfNodePtr> &prim_inputs);
 
+  virtual ParameterPtr add_parameter(const tensor::MetaTensorPtr &meta_tensor);
   // Functions for handling variable argument, keyword-only arguments and variable keyword argument
   AnfNodePtr GetDefaultValueByName(const std::string &name);
   void set_param_default_value(const std::string &name, const AnfNodePtr &node) {

mindspore/core/utils/check_convert_utils.cc

@@ -0,0 +1,270 @@
+/**
+ * Copyright 2019-2020 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 "utils/check_convert_utils.h"
+#include <utility>
+#include "abstract/abstract_value.h"
+
+namespace mindspore {
+namespace {
+const std::map<CompareEnum, std::function<bool(int, int)>> kCompareMap = {
+  {kEqual, [](int num1, int num2) -> bool { return num1 == num2; }},
+  {kNotEqual, [](int num1, int num2) -> bool { return num1 != num2; }},
+  {kLessThan, [](int num1, int num2) -> bool { return num1 < num2; }},
+  {kLessEqual, [](int num1, int num2) -> bool { return num1 <= num2; }},
+  {kGreaterThan, [](int num1, int num2) -> bool { return num1 > num2; }},
+  {kGreaterEqual, [](int num1, int num2) -> bool { return num1 >= num2; }}};
+
+const std::map<CompareRange, std::function<bool(int, std::pair<int, int>)>> kCompareRangeMap = {
+  {kIncludeNeither,
+   [](int num1, std::pair<int, int> range) -> bool { return num1 > range.first && num1 < range.second; }},
+  {kIncludeLeft,
+   [](int num1, std::pair<int, int> range) -> bool { return num1 >= range.first && num1 < range.second; }},
+  {kIncludeRight,
+   [](int num1, std::pair<int, int> range) -> bool { return num1 > range.first && num1 <= range.second; }},
+  {kIncludeBoth,
+   [](int num1, std::pair<int, int> range) -> bool { return num1 >= range.first && num1 <= range.second; }}};
+
+const std::map<CompareEnum, std::string> kCompareToString = {
+  {kEqual, "equal"},          {kNotEqual, "not equal"},       {kLessThan, "less than"},
+  {kLessEqual, "less eqaul"}, {kGreaterThan, "greater than"}, {kGreaterEqual, "greate equal"}};
+
+const std::map<CompareRange, std::pair<std::string, std::string>> kCompareRangeToString = {
+  {kIncludeNeither, {"in (", ")"}},
+  {kIncludeLeft, {" in [", ")"}},
+  {kIncludeRight, {"in (", "]"}},
+  {kIncludeBoth, {"in [", "]"}}};
+}  // namespace
+bool CheckAndConvertUtils::IsEqualVector(const std::vector<int> &vec_1, const std::vector<int> &vec_2) {
+  if (vec_1.size() != vec_2.size()) {
+    return false;
+  }
+  for (size_t index = 0; index < vec_1.size(); ++index) {
+    if (vec_1[index] != vec_2[index]) {
+      return false;
+    }
+  }
+  return true;
+}
+
+std::vector<int> CheckAndConvertUtils::CheckPositiveVector(const std::string &arg_name,
+                                                           const std::vector<int> &arg_value,
+                                                           const std::string &prim_name, bool allow_four,
+                                                           bool ret_four) {
+  if (arg_value.size() == 2) {
+    return ret_four ? std::vector<int>{1, 1, arg_value[0], arg_value[1]} : arg_value;
+  } else if (arg_value.size() == 4 && allow_four) {
+    return ret_four ? arg_value : std::vector<int>{arg_value[2], arg_value[3]};
+  }
+  std::ostringstream buffer;
+  buffer << "For " << prim_name << " attr " << arg_name << " should be a positive vector of size two ";
+  if (allow_four) {
+    buffer << "or four ";
+  }
+  buffer << " positive int numbers , but got [";
+  for (auto item : arg_value) {
+    buffer << item << ",";
+  }
+  buffer << "]";
+  MS_EXCEPTION(ValueError) << buffer.str();
+}
+std::string CheckAndConvertUtils::CheckString(const std::string &arg_name, const std::string &arg_value,
+                                              const std::set<std::string> &check_list, const std::string &prim_name) {
+  if (check_list.find(arg_value) != check_list.end()) {
+    return arg_value;
+  }
+  std::ostringstream buffer;
+  buffer << "For " << prim_name << " the " << arg_name << " should be str and must be ";
+  if (check_list.size() == 1) {
+    buffer << (*check_list.begin()) << "but got " << arg_value;
+    MS_EXCEPTION(ValueError) << buffer.str();
+  }
+  buffer << "one of {";
+  for (const auto &item : check_list) {
+    buffer << item << " ,";
+  }
+  buffer << " }"
+         << " but got " << arg_value;
+  MS_EXCEPTION(ValueError) << buffer.str();
+}
+
+int CheckAndConvertUtils::CheckInteger(const std::string &arg_name, int arg_value, CompareEnum compare_operator,
+                                       int match_value, const std::string &prim_name) {
+  auto iter = kCompareMap.find(compare_operator);
+  if (iter == kCompareMap.end()) {
+    MS_EXCEPTION(NotExistsError) << "compare_operator " << compare_operator << " cannot find in the compare map";
+  }
+  if (iter->second(arg_value, match_value)) {
+    return arg_value;
+  }
+  std::ostringstream buffer;
+  if (prim_name.empty()) {
+    buffer << "The ";
+  } else {
+    buffer << "For " << prim_name << " the ";
+  }
+  buffer << arg_name << " must ";
+  auto iter_to_string = kCompareToString.find(compare_operator);
+  if (iter_to_string == kCompareToString.end()) {
+    MS_EXCEPTION(NotExistsError) << "compare_operator " << compare_operator << " cannot find in the compare string map";
+  }
+  buffer << iter_to_string->second << match_value << " , but got " << arg_value;
+  MS_EXCEPTION(ValueError) << buffer.str();
+}
+
+void CheckAndConvertUtils::CheckInRange(const std::string &arg_name, int arg_value, CompareRange compare_operator,
+                                        const std::pair<int, int> &range, const std::string &prim_name) {
+  auto iter = kCompareRangeMap.find(compare_operator);
+  if (iter == kCompareRangeMap.end()) {
+    MS_EXCEPTION(NotExistsError) << "compare_operator " << compare_operator << " cannot find in the compare map";
+  }
+  if (iter->second(arg_value, range)) {
+    return;
+  }
+  std::ostringstream buffer;
+  if (prim_name.empty()) {
+    buffer << "The ";
+  } else {
+    buffer << "For " << prim_name << " the ";
+  }
+  buffer << arg_name << " must ";
+  auto iter_to_string = kCompareRangeToString.find(compare_operator);
+  if (iter_to_string == kCompareRangeToString.end()) {
+    MS_EXCEPTION(NotExistsError) << "compare_operator " << compare_operator << " cannot find in the compare string map";
+  }
+  auto range_strng = iter_to_string->second;
+  buffer << range_strng.first << range.first << "," << range_strng.second << " , but got " << arg_value;
+  MS_EXCEPTION(ValueError) << buffer.str();
+}
+
+std::vector<int> CheckAndConvertUtils::ConvertShapePtrToShape(const std::string &arg_name, const BaseShapePtr &shape,
+                                                              const std::string &prim_name) {
+  MS_EXCEPTION_IF_NULL(shape);
+  if (!shape->isa<abstract::Shape>()) {
+    MS_EXCEPTION(ValueError) << "The " << arg_name << "'s shape is " << shape->ToString()
+                             << "should be a common shape!";
+  }
+  auto shape_element = shape->cast<abstract::ShapePtr>();
+  MS_EXCEPTION_IF_NULL(shape_element);
+  return shape_element->shape();
+}
+
+TypeId CheckAndConvertUtils::ConvertTypePtrToTypeId(const string &arg_name, const TypePtr &type_ptr,
+                                                    const string &prim_name) {
+  MS_EXCEPTION_IF_NULL(type_ptr);
+  if (!type_ptr->isa<TensorType>() || !type_ptr->isa<Number>()) {
+    MS_EXCEPTION(ValueError) << "The " << arg_name << "'s shape is " << type_ptr->ToString()
+                             << "should be a common type!(tensor_type && numbertype)";
+  }
+  return type_ptr->type_id();
+}
+
+void CheckAndConvertUtils::Check(const string &arg_name, int arg_value, CompareEnum compare_type,
+                                 const string &value_name, int value, const string &prim_name,
+                                 ExceptionType exception_type) {
+  auto iter = kCompareMap.find(compare_type);
+  if (iter == kCompareMap.end()) {
+    MS_EXCEPTION(NotExistsError) << "the compare type :" << compare_type << " is not in the compare map";
+  }
+  if (iter->second(arg_value, value)) {
+    return;
+  }
+  std::ostringstream buffer;
+  if (prim_name.empty()) {
+    buffer << "The ";
+  } else {
+    buffer << "For " << prim_name << " the ";
+  }
+  auto iter_to_string = kCompareToString.find(compare_type);
+  if (iter_to_string == kCompareToString.end()) {
+    MS_EXCEPTION(NotExistsError) << "compare_operator " << compare_type << " cannot find in the compare string map";
+  }
+  MS_EXCEPTION(exception_type) << buffer.str() << arg_name << " should be " << iter_to_string->second << value
+                               << " but got " << arg_value;
+}
+void CheckAndConvertUtils::Check(const string &arg_name, const std::vector<int> &arg_value, CompareEnum compare_type,
+                                 const string &value_name, const std::vector<int> &value, const string &prim_name,
+                                 ExceptionType exception_type) {
+  if (compare_type != kEqual) {
+    auto iter = kCompareToString.find(compare_type);
+    if (iter != kCompareToString.end()) {
+      MS_EXCEPTION(NotSupportError) << "Only supported equal to compare two vectors but got " << iter->second;
+    }
+    MS_EXCEPTION(UnknownError) << "Cannot find the operator " << compare_type << "in the compare map!";
+  }
+  if (arg_value == value) {
+    return;
+  }
+  std::ostringstream buffer;
+  if (prim_name.empty()) {
+    buffer << "The ";
+  } else {
+    buffer << "For " << prim_name << " the ";
+  }
+  auto iter_to_string = kCompareToString.find(compare_type);
+  if (iter_to_string == kCompareToString.end()) {
+    MS_EXCEPTION(NotExistsError) << "compare_operator " << compare_type << " cannot find in the compare string map";
+  }
+  buffer << arg_name << "should be " << iter_to_string->second << " [";
+  for (auto item : value) {
+    buffer << item << ",";
+  }
+  buffer << "] "
+         << "but got [";
+  for (auto item : arg_value) {
+    buffer << item << " ,";
+  }
+  buffer << "]";
+  MS_EXCEPTION(exception_type) << buffer.str();
+}
+
+void CheckAndConvertUtils::CheckTensorTypeSame(const std::map<std::string, TypePtr> &types,
+                                               const std::set<TypeId> &check_list, const std::string &prim_name) {
+  if (types.empty()) {
+    MS_LOG(WARNING) << "Tryinh to use the function to check a empty types map!";
+    return;
+  }
+  std::set<TypeId> types_id;
+  std::ostringstream buffer;
+  buffer << "For " << prim_name;
+  for (const auto &type : types) {
+    MS_EXCEPTION_IF_NULL(type.second);
+    if (!type.second->isa<TensorType>()) {
+      MS_EXCEPTION(TypeError) << "The " << prim_name << "'s" << type.first << " input must be tensor type but got "
+                              << type.second->ToString();
+    }
+    types_id.emplace(type.second->type_id());
+  }
+  if (types_id.size() > 1) {
+    buffer << "'s input type is not same : ";
+    for (const auto &item : types) {
+      buffer << "[ name : " << item.first << " ,type : " << item.second->ToString() << "]";
+    }
+    MS_EXCEPTION(TypeError) << buffer.str();
+  }
+  if (check_list.find(*(types_id.begin())) != check_list.end()) {
+    buffer << " type of ";
+    for (const auto &elem : types) {
+      buffer << elem.first << " should be in [";
+      for (auto type_elem : check_list) {
+        buffer << type_elem << " ,";
+      }
+      buffer << "] , but got " << types.begin()->second->ToString();
+    }
+  }
+  MS_EXCEPTION(TypeError) << buffer.str();
+}
+}  // namespace mindspore

mindspore/core/utils/check_convert_utils.h

@@ -0,0 +1,72 @@
+/**
+ * Copyright 2019-2020 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 MINDSPORE_CORE_UTILS_CHECK_CONVERT_UTILS_H
+#define MINDSPORE_CORE_UTILS_CHECK_CONVERT_UTILS_H
+#include <vector>
+#include <string>
+#include <map>
+#include <set>
+#include <utility>
+#include "base/base.h"
+#include "ir/anf.h"
+#include "ir/dtype/type_id.h"
+#include "utils/log_adapter.h"
+namespace mindspore {
+enum CompareEnum : int {
+  kEqual = 1,         // ==
+  kNotEqual = 2,      // !=
+  kLessThan = 3,      // <
+  kLessEqual = 4,     // <=
+  kGreaterThan = 5,   // >
+  kGreaterEqual = 6,  // >=
+};
+
+enum CompareRange {
+  kIncludeNeither = 1,  // (a,b)
+  kIncludeLeft = 2,     // [a,b)
+  kIncludeRight = 3,    // (a,b]
+  kIncludeBoth = 4,     // [a,b]
+};
+
+class CheckAndConvertUtils {
+ public:
+  static std::vector<int> CheckPositiveVector(const std::string &arg_name, const std::vector<int> &arg_value,
+                                              const std::string &prim_name, bool allow_four = false,
+                                              bool ret_four = false);
+  static std::string CheckString(const std::string &arg_name, const std::string &arg_value,
+                                 const std::set<std::string> &check_list, const std::string &prim_name);
+  static int CheckInteger(const std::string &arg_name, int arg_value, CompareEnum compare_operator, int match_value,
+                          const std::string &prim_name);
+  static void CheckInRange(const std::string &arg_name, int arg_value, CompareRange compare_operator,
+                           const std::pair<int, int> &range, const std::string &prim_name);
+  static std::vector<int> ConvertShapePtrToShape(const std::string &arg_name, const BaseShapePtr &shape,
+                                                 const std::string &prim_name);
+  static TypeId ConvertTypePtrToTypeId(const std::string &arg_name, const TypePtr &type_ptr,
+                                       const std::string &prim_name);
+  static void Check(const std::string &arg_name, int arg_value, CompareEnum compare_type, const std::string &value_name,
+                    int value, const std::string &prim_name = "", ExceptionType exception_type = ValueError);
+  static void Check(const std::string &arg_name, const std::vector<int> &arg_value, CompareEnum compare_type,
+                    const std::string &value_name, const std::vector<int> &value, const std::string &prim_name = "",
+                    ExceptionType exception_type = ValueError);
+  static void CheckTensorTypeSame(const std::map<std::string, TypePtr> &types, const std::set<TypeId> &check_list,
+                                  const std::string &prim_name);
+
+ private:
+  static bool IsEqualVector(const std::vector<int> &vec_1, const std::vector<int> &vec_2);
+};
+}  // namespace mindspore
+#endif  // MINDSPORE_CORE_UTILS_CHECK_CONVERT_UTILS_H