提交 ab9545aa 编写于 作者: Q qiaolongfei

add shape_inference_map

上级 81fc7774
...@@ -26,8 +26,10 @@ cc_library(op_info SRCS op_info.cc DEPS attribute framework_proto proto_desc) ...@@ -26,8 +26,10 @@ cc_library(op_info SRCS op_info.cc DEPS attribute framework_proto proto_desc)
cc_library(operator SRCS operator.cc DEPS op_info device_context tensor scope proto_desc) cc_library(operator SRCS operator.cc DEPS op_info device_context tensor scope proto_desc)
cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry) cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry)
cc_library(shape_inference_map SRCS shape_inference_map.cc DEPS op_info operator)
cc_library(grad_op_builder SRCS grad_op_builder.cc DEPS operator proto_desc) cc_library(grad_op_builder SRCS grad_op_builder.cc DEPS operator proto_desc)
cc_library(op_registry SRCS op_registry.cc DEPS grad_op_builder op_proto_maker op_info) cc_library(op_registry SRCS op_registry.cc DEPS grad_op_builder op_proto_maker op_info shape_inference_map)
cc_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry) cc_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry)
cc_test(grad_op_builder_test SRCS grad_op_builder_test.cc DEPS grad_op_builder op_registry sum_op) cc_test(grad_op_builder_test SRCS grad_op_builder_test.cc DEPS grad_op_builder op_registry sum_op)
......
...@@ -26,6 +26,7 @@ limitations under the License. */ ...@@ -26,6 +26,7 @@ limitations under the License. */
#include "paddle/framework/grad_op_builder.h" #include "paddle/framework/grad_op_builder.h"
#include "paddle/framework/operator.h" #include "paddle/framework/operator.h"
#include "paddle/framework/scope.h" #include "paddle/framework/scope.h"
#include "paddle/framework/shape_inference_map.h"
namespace paddle { namespace paddle {
namespace framework { namespace framework {
...@@ -54,9 +55,12 @@ class OpRegistry { ...@@ -54,9 +55,12 @@ class OpRegistry {
const std::string& grad_op_type) { const std::string& grad_op_type) {
OperatorRegistrar<OpType, ProtoMakerType> reg(op_type.c_str()); OperatorRegistrar<OpType, ProtoMakerType> reg(op_type.c_str());
reg.info.grad_op_type_ = grad_op_type; reg.info.grad_op_type_ = grad_op_type;
ShapeInferenceMap::Instance().CreateOpWithKernel(reg.info, op_type);
// register gradient op // register gradient op
if (!grad_op_type.empty()) { if (!grad_op_type.empty()) {
OperatorRegistrar<GradOpType> grad_reg(grad_op_type.c_str()); OperatorRegistrar<GradOpType> grad_reg(grad_op_type.c_str());
ShapeInferenceMap::Instance().CreateOpWithKernel(grad_reg.info,
grad_op_type);
} }
} }
......
...@@ -14,6 +14,7 @@ limitations under the License. */ ...@@ -14,6 +14,7 @@ limitations under the License. */
#pragma once #pragma once
#include "paddle/framework/attribute.h"
#include "paddle/framework/ddim.h" #include "paddle/framework/ddim.h"
namespace paddle { namespace paddle {
......
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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 "paddle/framework/shape_inference_map.h"
namespace paddle {
namespace framework {
static VariableNameMap ConvertOpProtoVarsToVarNameMap(
const google::protobuf::RepeatedPtrField<OpProto::Var>& op_proto_vars) {
VariableNameMap ret_val;
for (auto& var : op_proto_vars) {
ret_val[var.name()] = {};
}
return ret_val;
}
static ShapeInferenceMap* g_shape_inference_map = nullptr;
ShapeInferenceMap& ShapeInferenceMap::Instance() {
if (g_shape_inference_map == nullptr) {
g_shape_inference_map = new ShapeInferenceMap();
}
return *g_shape_inference_map;
}
void ShapeInferenceMap::CreateOpWithKernel(const OpInfo& op_info,
const std::string& op_type) {
const VariableNameMap inputs =
ConvertOpProtoVarsToVarNameMap(op_info.Proto().inputs());
const VariableNameMap outputs =
ConvertOpProtoVarsToVarNameMap(op_info.Proto().outputs());
auto* op = op_info.Creator()(op_type, inputs, outputs, {});
auto* op_with_kernel = dynamic_cast<OperatorWithKernel*>(op);
auto it = op_shape_inference_map_.find(op_type);
if (it != op_shape_inference_map_.end()) {
PADDLE_THROW("OpWithKernel(%s) is already registered for infer_shape",
op_type);
}
if (op_with_kernel != nullptr) {
op_shape_inference_map_[op_type] = op_with_kernel;
}
}
} // namespace framework
} // namespace paddle
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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. */
#pragma once
#include <unordered_map>
#include "paddle/framework/op_info.h"
#include "paddle/framework/operator.h"
#include "paddle/framework/shape_inference.h"
namespace paddle {
namespace framework {
class ShapeInferenceMap {
public:
static ShapeInferenceMap& Instance();
const OperatorBase* GetOperator(const std::string& op_type) {
auto it = op_shape_inference_map_.find(op_type);
if (it == op_shape_inference_map_.end()) {
PADDLE_THROW("op with kernel for Op(%s) is not registered", op_type);
}
return it->second;
}
void CreateOpWithKernel(const OpInfo& op_info, const std::string& op_type);
OperatorWithKernel* GetOpWithKernel(const std::string& op_type) {
auto it = op_shape_inference_map_.find(op_type);
if (it == op_shape_inference_map_.end()) {
return nullptr;
}
return it->second;
}
private:
ShapeInferenceMap() = default;
DISABLE_COPY_AND_ASSIGN(ShapeInferenceMap);
std::unordered_map<std::string, OperatorWithKernel*> op_shape_inference_map_;
};
} // namespace framework
} // namespace paddle
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