You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
103 lines
3.8 KiB
103 lines
3.8 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
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 <fstream>
|
|
#include <string>
|
|
|
|
#include "paddle/fluid/framework/data_type_transform.h"
|
|
#include "paddle/fluid/framework/op_registry.h"
|
|
#include "paddle/fluid/platform/device_context.h"
|
|
#include "paddle/fluid/platform/profiler.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
template <typename DeviceContext, typename T>
|
|
class LoadOpKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext &ctx) const override {
|
|
auto place = ctx.GetPlace();
|
|
// FIXME(yuyang18): We save variable to local file now, but we should change
|
|
// it to save an output stream.
|
|
auto filename = ctx.Attr<std::string>("file_path");
|
|
std::ifstream fin(filename, std::ios::binary);
|
|
PADDLE_ENFORCE(static_cast<bool>(fin), "Cannot open file %s for load op",
|
|
filename);
|
|
|
|
auto out_var_name = ctx.Outputs("Out").data();
|
|
auto *out_var = ctx.OutputVar("Out");
|
|
|
|
PADDLE_ENFORCE(out_var != nullptr, "Output variable %s cannot be found ",
|
|
out_var_name);
|
|
|
|
PADDLE_ENFORCE(out_var != nullptr, "Output variable cannot be found ");
|
|
|
|
if (out_var->IsType<framework::LoDTensor>()) {
|
|
LoadLodTensor(fin, place, out_var, ctx);
|
|
} else if (out_var->IsType<framework::SelectedRows>()) {
|
|
LoadSelectedRows(fin, place, out_var);
|
|
} else {
|
|
PADDLE_ENFORCE(
|
|
false,
|
|
"Load only support LoDTensor and SelectedRows, %s has wrong type",
|
|
out_var_name);
|
|
}
|
|
}
|
|
|
|
void LoadLodTensor(std::istream &fin, const platform::Place &place,
|
|
framework::Variable *var,
|
|
const framework::ExecutionContext &ctx) const {
|
|
// get device context from pool
|
|
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
|
|
auto &dev_ctx = *pool.Get(place);
|
|
auto *tensor = var->GetMutable<framework::LoDTensor>();
|
|
DeserializeFromStream(fin, tensor, dev_ctx);
|
|
|
|
auto load_as_fp16 = ctx.Attr<bool>("load_as_fp16");
|
|
auto in_dtype = tensor->type();
|
|
auto out_dtype = load_as_fp16 ? framework::proto::VarType::FP16 : in_dtype;
|
|
|
|
if (in_dtype != out_dtype) {
|
|
// convert to float16 tensor
|
|
auto in_kernel_type = framework::OpKernelType(in_dtype, place);
|
|
auto out_kernel_type = framework::OpKernelType(out_dtype, place);
|
|
framework::LoDTensor fp16_tensor;
|
|
// copy LoD info to the new tensor
|
|
fp16_tensor.set_lod(tensor->lod());
|
|
framework::TransDataType(in_kernel_type, out_kernel_type, *tensor,
|
|
&fp16_tensor);
|
|
|
|
// reset output tensor
|
|
var->Clear();
|
|
tensor = var->GetMutable<framework::LoDTensor>();
|
|
tensor->set_lod(fp16_tensor.lod());
|
|
tensor->ShareDataWith(fp16_tensor);
|
|
}
|
|
}
|
|
|
|
void LoadSelectedRows(std::istream &fin, const platform::Place &place,
|
|
framework::Variable *var) const {
|
|
auto *selectedRows = var->GetMutable<framework::SelectedRows>();
|
|
// get device context from pool
|
|
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
|
|
auto &dev_ctx = *pool.Get(place);
|
|
framework::DeserializeFromStream(fin, selectedRows, dev_ctx);
|
|
selectedRows->SyncIndex();
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|