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84 lines
2.8 KiB
84 lines
2.8 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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/framework/op_registry.h"
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#include "paddle/platform/device_context.h"
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namespace paddle {
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namespace operators {
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class LoadOp : public framework::OperatorBase {
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public:
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LoadOp(const std::string &type, 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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void Run(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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std::ifstream fin(filename);
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PADDLE_ENFORCE(static_cast<bool>(fin), "Cannot open file %s for load op",
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filename);
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auto out_var_name = Output("Out");
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auto *out_var = scope.FindVar(out_var_name);
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PADDLE_ENFORCE(out_var != nullptr, "Output variable %s cannot be found",
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out_var_name);
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auto *tensor = out_var->GetMutable<framework::LoDTensor>();
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platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
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auto &dev_ctx = *pool.Get(place);
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DeserializeFromStream(fin, tensor, dev_ctx);
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if (platform::is_gpu_place(place)) {
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// copy CPU to GPU
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framework::LoDTensor cpu_tensor;
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cpu_tensor.ShareDataWith(*tensor);
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cpu_tensor.set_lod(tensor->lod());
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// reset 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(cpu_tensor.lod());
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Copy(cpu_tensor, place, dev_ctx, tensor);
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}
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}
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};
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class LoadOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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LoadOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddOutput("Out", "(Tensor) The tensor need to be loaded");
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AddAttr<std::string>("file_path",
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"(string) "
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"Variable 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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Load Operator.
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Load operator will load a tensor variable from disk file.
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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, ops::LoadOp, ops::LoadOpProtoMaker);
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