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118 lines
4.4 KiB
118 lines
4.4 KiB
/* Copyright (c) 2016 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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#pragma once
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#include <fstream>
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#include <string>
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#include <vector>
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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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#include "paddle/fluid/platform/profiler.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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class LoadOpKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext &ctx) const override {
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auto place = ctx.GetPlace();
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// FIXME(yuyang18): We save variable to local file now, but we should change
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// it to save an output stream.
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auto filename = ctx.Attr<std::string>("file_path");
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std::ifstream fin(filename, std::ios::binary);
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PADDLE_ENFORCE_EQ(static_cast<bool>(fin), true,
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platform::errors::Unavailable(
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"Load operator fail to open file %s, please check "
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"whether the model file is complete or damaged.",
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filename));
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auto out_var_name = ctx.OutputNames("Out").data();
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auto *out_var = ctx.OutputVar("Out");
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PADDLE_ENFORCE_NOT_NULL(
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out_var,
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platform::errors::InvalidArgument(
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"The variable %s to be loaded cannot be found.", out_var_name));
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if (out_var->IsType<framework::LoDTensor>()) {
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LoadLodTensor(fin, place, out_var, ctx);
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} else if (out_var->IsType<framework::SelectedRows>()) {
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LoadSelectedRows(fin, place, out_var);
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} else {
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PADDLE_THROW(platform::errors::InvalidArgument(
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"Load operator only supports loading LoDTensor and SelectedRows "
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"variable, %s has wrong type",
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out_var_name));
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}
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}
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void LoadLodTensor(std::istream &fin, const platform::Place &place,
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framework::Variable *var,
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const framework::ExecutionContext &ctx) const {
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// get device context from pool
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platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
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auto &dev_ctx = *pool.Get(place);
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auto *tensor = var->GetMutable<framework::LoDTensor>();
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auto seek = ctx.Attr<int64_t>("seek");
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if (seek != -1) {
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PADDLE_ENFORCE_GE(seek, 0,
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platform::errors::InvalidArgument(
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"seek witn tensor must great than or equal to 0"));
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auto shape = ctx.Attr<std::vector<int64_t>>("shape");
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DeserializeFromStream(fin, tensor, dev_ctx, seek, shape);
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} else {
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DeserializeFromStream(fin, tensor, dev_ctx);
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}
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auto load_as_fp16 = ctx.Attr<bool>("load_as_fp16");
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auto in_dtype = tensor->type();
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auto out_dtype = 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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var->Clear();
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tensor = 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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void LoadSelectedRows(std::istream &fin, const platform::Place &place,
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framework::Variable *var) const {
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auto *selectedRows = var->GetMutable<framework::SelectedRows>();
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// get device context from pool
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platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
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auto &dev_ctx = *pool.Get(place);
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framework::DeserializeFromStream(fin, selectedRows, dev_ctx);
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selectedRows->SyncIndex();
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}
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};
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} // namespace operators
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} // namespace paddle
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