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126 lines
4.6 KiB
126 lines
4.6 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <fstream>
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#include "paddle/fluid/framework/data_type_transform.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace operators {
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class LoadCombineOp : public framework::OperatorBase {
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public:
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LoadCombineOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &place) const override {
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auto filename = Attr<std::string>("file_path");
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auto load_as_fp16 = Attr<bool>("load_as_fp16");
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std::ifstream fin(filename);
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PADDLE_ENFORCE(static_cast<bool>(fin),
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"Cannot open file %s for load_combine op", filename);
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auto out_var_names = Outputs("Out");
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PADDLE_ENFORCE_GT(
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static_cast<int>(out_var_names.size()), 0,
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"The number of output variables should be greater than 0.");
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platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
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auto &dev_ctx = *pool.Get(place);
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for (size_t i = 0; i < out_var_names.size(); i++) {
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auto *out_var = scope.FindVar(out_var_names[i]);
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PADDLE_ENFORCE(out_var != nullptr, "Output variable %s cannot be found",
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out_var_names[i]);
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auto *tensor = out_var->GetMutable<framework::LoDTensor>();
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// Error checking
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PADDLE_ENFORCE(static_cast<bool>(fin), "Cannot read more from file %s",
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filename);
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// Get data from fin to tensor
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DeserializeFromStream(fin, tensor, dev_ctx);
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auto in_dtype = framework::ToDataType(tensor->type());
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auto out_dtype =
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load_as_fp16 ? framework::proto::VarType::FP16 : in_dtype;
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if (in_dtype != out_dtype) {
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// convert to float16 tensor
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auto in_kernel_type = framework::OpKernelType(in_dtype, place);
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auto out_kernel_type = framework::OpKernelType(out_dtype, place);
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framework::LoDTensor fp16_tensor;
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// copy LoD info to the new tensor
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fp16_tensor.set_lod(tensor->lod());
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framework::TransDataType(in_kernel_type, out_kernel_type, *tensor,
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&fp16_tensor);
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// reset output tensor
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out_var->Clear();
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tensor = out_var->GetMutable<framework::LoDTensor>();
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tensor->set_lod(fp16_tensor.lod());
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tensor->ShareDataWith(fp16_tensor);
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}
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}
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}
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};
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class LoadCombineOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddOutput(
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"Out",
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"(vector) The output LoDTensors that will be read from the input file.")
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.AsDuplicable();
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AddAttr<bool>(
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"load_as_fp16",
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"(boolean, default false)"
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"If true, the tensor will be first loaded and then "
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"converted to float16 data type. Otherwise, the tensor will be "
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"directly loaded without data type conversion.")
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.SetDefault(false);
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AddAttr<std::string>("file_path",
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"(string) "
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"LoDTensors will be loaded from \"file_path\".")
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.AddCustomChecker(
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[](const std::string &path) { return !path.empty(); });
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AddComment(R"DOC(
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LoadCombine Operator.
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LoadCombine operator loads LoDTensor variables from a file. The file should
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contain one or more LoDTensors serialized using the SaveCombine operator. The
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LoadCombine operator applies a deserialization strategy to appropriately load
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the LodTensors, and this strategy complements the serialization strategy used
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in the SaveCombine operator. Hence, the LoadCombine operator is tightly coupled
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with the SaveCombine operator, and can only deserialize one or more LoDTensors
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that were saved using the SaveCombine operator.
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(load_combine, ops::LoadCombineOp,
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ops::LoadCombineOpProtoMaker);
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