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Paddle/paddle/fluid/operators/save_combine_op.h

119 lines
4.6 KiB

/* Copyright (c) 2018 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 <stdint.h>
#include <fstream>
#include <numeric>
#include <sstream>
#include <string>
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/data_type_transform.h"
#include "paddle/fluid/framework/framework.pb.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/platform/port.h"
namespace paddle {
namespace operators {
template <typename DeviceContext, typename T>
class SaveCombineOpKernel : public framework::OpKernel<T> {
public:
void Compute(const framework::ExecutionContext &ctx) const override {
auto place = ctx.GetPlace();
auto filename = ctx.Attr<std::string>("file_path");
auto overwrite = ctx.Attr<bool>("overwrite");
auto save_as_fp16 = ctx.Attr<bool>("save_as_fp16");
auto save_to_memory = ctx.Attr<bool>("save_to_memory");
auto output = ctx.Output<std::string>("Y");
bool is_present = FileExists(filename);
if (is_present && !overwrite) {
PADDLE_THROW(platform::errors::PreconditionNotMet(
"%s exists! Cannot save_combine to it when overwrite is set to "
"false.",
filename, overwrite));
}
std::ostringstream ss;
Add dygraph execution context (#20157) * add_dygraph_execution_context * add dygraph infershape context and execution context; test=develop * fix imperative bug; test=develop * remove inputs outputs interface from execution context, because it have same function with inputNames; test=develop * remove tracer_test ctest; test=develop * fix split op bug; test=develop * fix unitests bug; test=develop * fix distribute test bug; test=develop * fix ngraph compile bug; test=develop * fix grad maker bug; test=develop * fix load op bugs; test=develop * fix operator.cc construct bug; test=develop * remove useless name find in operator; test=develop * add tracer_test; test=develop * fix concat, split bug; test=develop * remove tracer_test unitest; test=develop * fix attribute check bug; test=develop * add test code to fix converage; test=develop * remove useless code, change check backward input in engin; test=develop * unlock var type infer shape;test=develop * add ShareAllLoD api; test=develop * add dygraph infershape context unitest; test=develop * remove increase and decrease lod in dygraph; test=develop * addd override; test=develop * fix increase descrease lod; test=develop * fix paddle_enforce; test=develop * disable lod op dygraph check; test=develop * fix paddle enforce error; test=develop * add comment for op_registry and OperatorBase; test=develop * optimize the comment of op_registry; test=develop * fix format of comment; test=develop * fix format of comment; test=develop * optimize the format of comment; test=develop * optimize the format of the comment; test=develop * optimize comment of op_registry; test=develop
5 years ago
auto inp_var_names = ctx.InputNames("X");
auto &inp_vars = ctx.MultiInputVar("X");
PADDLE_ENFORCE_GT(inp_var_names.size(), 0UL,
platform::errors::InvalidArgument(
"The number of variables to be saved is %d, expect "
"it to be greater than 0.",
inp_var_names.size()));
// get device context from pool
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
auto &dev_ctx = *pool.Get(place);
for (size_t i = 0; i < inp_var_names.size(); i++) {
PADDLE_ENFORCE_NOT_NULL(
inp_vars[i],
platform::errors::InvalidArgument("Cannot find variable %s to save.",
inp_var_names[i]));
PADDLE_ENFORCE_EQ(inp_vars[i]->IsType<framework::LoDTensor>(), true,
platform::errors::InvalidArgument(
"SaveCombine operator only supports saving "
"LoDTensor variable, %s has wrong type.",
inp_var_names[i]));
auto &tensor = inp_vars[i]->Get<framework::LoDTensor>();
PADDLE_ENFORCE_EQ(
tensor.IsInitialized(), true,
platform::errors::InvalidArgument(
"The Tensor of Variable(%s) to be saved is not initialized.",
inp_var_names[i]));
// Serialize tensors one by one
// Check types to see if a fp16 transformation is required
auto in_dtype = tensor.type();
auto out_dtype =
save_as_fp16 ? framework::proto::VarType::FP16 : in_dtype;
if (in_dtype != out_dtype) {
auto in_kernel_type = framework::OpKernelType(in_dtype, place);
auto out_kernel_type = framework::OpKernelType(out_dtype, place);
framework::LoDTensor out;
// copy LoD info to the new tensor
out.set_lod(tensor.lod());
framework::TransDataType(in_kernel_type, out_kernel_type, tensor, &out);
framework::SerializeToStream(ss, out, dev_ctx);
} else {
framework::SerializeToStream(ss, tensor, dev_ctx);
}
}
if (save_to_memory) {
PADDLE_ENFORCE_NE(output, nullptr,
platform::errors::InvalidArgument(
"Cannot find variable Y for save_combine_op"));
*output = ss.str();
} else {
MkDirRecursively(DirName(filename).c_str());
std::ofstream fout(filename, std::ios::binary);
PADDLE_ENFORCE_EQ(static_cast<bool>(fout), true,
platform::errors::Unavailable(
"Cannot open %s to save variables.", filename));
fout << ss.str();
fout.close();
}
}
};
} // namespace operators
} // namespace paddle