lujun
6 years ago
parent
bed0ecf3d2
commit
622fe6a56b
@ -0,0 +1,24 @@
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/* 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 "paddle/fluid/operators/load_combine_op.h"
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namespace ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(
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load_combine,
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ops::LoadCombineOpKernel<paddle::platform::CUDADeviceContext, float>,
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ops::LoadCombineOpKernel<paddle::platform::CUDADeviceContext, double>,
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ops::LoadCombineOpKernel<paddle::platform::CUDADeviceContext, int>,
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ops::LoadCombineOpKernel<paddle::platform::CUDADeviceContext, int64_t>);
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@ -0,0 +1,102 @@
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/* 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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#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.h"
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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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template <typename DeviceContext, typename T>
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class LoadCombineOpKernel : 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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auto filename = ctx.Attr<std::string>("file_path");
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auto load_as_fp16 = ctx.Attr<bool>("load_as_fp16");
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auto model_from_memory = ctx.Attr<bool>("model_from_memory");
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auto &out_var_names = ctx.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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if (!model_from_memory) {
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std::ifstream fin(filename, std::ios::binary);
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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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LoadParamsFromBuffer(ctx, place, &fin, load_as_fp16, out_var_names);
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} else {
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PADDLE_ENFORCE(!filename.empty(), "Cannot load file from memory");
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std::stringstream fin(filename, std::ios::in | std::ios::binary);
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LoadParamsFromBuffer(ctx, place, &fin, load_as_fp16, out_var_names);
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}
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}
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void LoadParamsFromBuffer(
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const framework::ExecutionContext &context, const platform::Place &place,
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std::istream *buffer, bool load_as_fp16,
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const std::vector<std::string> &out_var_names) const {
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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 out_vars = context.MultiOutputVar("Out");
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for (size_t i = 0; i < out_var_names.size(); i++) {
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PADDLE_ENFORCE(out_vars[i] != nullptr,
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"Output variable %s cannot be found", out_var_names[i]);
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auto *tensor = out_vars[i]->GetMutable<framework::LoDTensor>();
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// Error checking
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PADDLE_ENFORCE(static_cast<bool>(*buffer), "Cannot read more");
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// Get data from fin to tensor
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DeserializeFromStream(*buffer, tensor, dev_ctx);
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auto in_dtype = 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_vars[i]->Clear();
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tensor = out_vars[i]->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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buffer->peek();
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PADDLE_ENFORCE(buffer->eof(),
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"You are not allowed to load partial data via "
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"load_combine_op, use load_op instead.");
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}
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};
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} // namespace operators
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} // namespace paddle
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@ -0,0 +1,23 @@
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/* 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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#include "paddle/fluid/operators/load_op.h"
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namespace ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(
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load, ops::LoadOpKernel<paddle::platform::CUDADeviceContext, float>,
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ops::LoadOpKernel<paddle::platform::CUDADeviceContext, double>,
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ops::LoadOpKernel<paddle::platform::CUDADeviceContext, int>,
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ops::LoadOpKernel<paddle::platform::CUDADeviceContext, int64_t>);
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@ -0,0 +1,102 @@
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/* 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 "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(static_cast<bool>(fin), "Cannot open file %s for load op",
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filename);
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auto out_var_name = ctx.Outputs("Out").data();
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auto *out_var = ctx.OutputVar("Out");
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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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PADDLE_ENFORCE(out_var != nullptr, "Output variable cannot be found ");
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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_ENFORCE(
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false,
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"Load only support LoDTensor and SelectedRows, %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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DeserializeFromStream(fin, tensor, dev_ctx);
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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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@ -0,0 +1,24 @@
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/* 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 "paddle/fluid/operators/save_combine_op.h"
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namespace ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(
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save_combine,
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ops::SaveCombineOpKernel<paddle::platform::CUDADeviceContext, float>,
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ops::SaveCombineOpKernel<paddle::platform::CUDADeviceContext, double>,
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ops::SaveCombineOpKernel<paddle::platform::CUDADeviceContext, int>,
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ops::SaveCombineOpKernel<paddle::platform::CUDADeviceContext, int64_t>);
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@ -0,0 +1,95 @@
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/* 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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|
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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 <stdint.h>
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#include <fstream>
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#include <numeric>
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#include <sstream>
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#include <string>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/data_type_transform.h"
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#include "paddle/fluid/framework/framework.pb.h"
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#include "paddle/fluid/framework/lod_tensor.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/port.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 SaveCombineOpKernel : 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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auto filename = ctx.Attr<std::string>("file_path");
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auto overwrite = ctx.Attr<bool>("overwrite");
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auto save_as_fp16 = ctx.Attr<bool>("save_as_fp16");
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bool is_present = FileExists(filename);
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if (is_present && !overwrite) {
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PADDLE_THROW("%s exists!, cannot save_combine to it when overwrite=false",
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filename, overwrite);
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}
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MkDirRecursively(DirName(filename).c_str());
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std::ofstream fout(filename, std::ios::binary);
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PADDLE_ENFORCE(static_cast<bool>(fout), "Cannot open %s to write",
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filename);
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auto &inp_var_names = ctx.Inputs("X");
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auto &inp_vars = ctx.MultiInputVar("X");
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PADDLE_ENFORCE_GT(static_cast<int>(inp_var_names.size()), 0,
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"The number of input variables should be greater than 0");
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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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for (size_t i = 0; i < inp_var_names.size(); i++) {
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PADDLE_ENFORCE(inp_vars[i] != nullptr,
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"Cannot find variable %s for save_combine_op",
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inp_var_names[i]);
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PADDLE_ENFORCE(inp_vars[i]->IsType<framework::LoDTensor>(),
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"SaveCombineOp only supports LoDTensor, %s has wrong type",
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inp_var_names[i]);
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auto &tensor = inp_vars[i]->Get<framework::LoDTensor>();
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// Serialize tensors one by one
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// Check types to see if a fp16 transformation is required
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auto in_dtype = tensor.type();
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auto out_dtype =
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save_as_fp16 ? framework::proto::VarType::FP16 : in_dtype;
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if (in_dtype != out_dtype) {
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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 out;
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// copy LoD info to the new tensor
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out.set_lod(tensor.lod());
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framework::TransDataType(in_kernel_type, out_kernel_type, tensor, &out);
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framework::SerializeToStream(fout, out, dev_ctx);
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} else {
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framework::SerializeToStream(fout, tensor, dev_ctx);
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}
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}
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fout.close();
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}
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};
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} // namespace operators
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} // namespace paddle
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@ -0,0 +1,26 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
|
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|
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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. */
|
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|
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#include "paddle/fluid/operators/save_op.h"
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#include "paddle/fluid/platform/float16.h"
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namespace ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(
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save, ops::SaveOpKernel<paddle::platform::CUDADeviceContext, float>,
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ops::SaveOpKernel<paddle::platform::CUDADeviceContext, double>,
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ops::SaveOpKernel<paddle::platform::CUDADeviceContext, int>,
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ops::SaveOpKernel<paddle::platform::CUDADeviceContext, int64_t>,
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ops::SaveOpKernel<paddle::platform::CUDADeviceContext,
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paddle::platform::float16>);
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@ -0,0 +1,133 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
|
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|
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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. */
|
||||
|
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#pragma once
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|
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#include <stdint.h>
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#include <fstream>
|
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#include <numeric>
|
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#include <string>
|
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#include <vector>
|
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|
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/data_type_transform.h"
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#include "paddle/fluid/framework/framework.pb.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/selected_rows.h"
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#include "paddle/fluid/framework/variable.h"
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namespace paddle {
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namespace operators {
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// define LOOKUP_TABLE_PATH for checkpoint notify to save lookup table variables
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// to directory specified.
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constexpr char LOOKUP_TABLE_PATH[] = "kLookupTablePath";
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template <typename DeviceContext, typename T>
|
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class SaveOpKernel : public framework::OpKernel<T> {
|
||||
public:
|
||||
void Compute(const framework::ExecutionContext &ctx) const override {
|
||||
auto place = ctx.GetPlace();
|
||||
|
||||
auto *input_var = ctx.InputVar("X");
|
||||
auto iname = ctx.Inputs("X").data();
|
||||
PADDLE_ENFORCE(input_var != nullptr, "Cannot find variable %s for save_op",
|
||||
iname);
|
||||
|
||||
if (input_var->IsType<framework::LoDTensor>()) {
|
||||
SaveLodTensor(ctx, place, input_var);
|
||||
} else if (input_var->IsType<framework::SelectedRows>()) {
|
||||
SaveSelectedRows(ctx, place, input_var);
|
||||
} else {
|
||||
PADDLE_ENFORCE(
|
||||
false,
|
||||
"SaveOp only support LoDTensor and SelectedRows, %s has wrong type",
|
||||
iname);
|
||||
}
|
||||
}
|
||||
|
||||
void SaveLodTensor(const framework::ExecutionContext &ctx,
|
||||
const platform::Place &place,
|
||||
const framework::Variable *var) const {
|
||||
auto filename = ctx.Attr<std::string>("file_path");
|
||||
auto overwrite = ctx.Attr<bool>("overwrite");
|
||||
|
||||
if (FileExists(filename) && !overwrite) {
|
||||
PADDLE_THROW("%s is existed, cannot save to it when overwrite=false",
|
||||
filename, overwrite);
|
||||
}
|
||||
|
||||
MkDirRecursively(DirName(filename).c_str());
|
||||
|
||||
auto &tensor = var->Get<framework::LoDTensor>();
|
||||
|
||||
// get device context from pool
|
||||
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
|
||||
auto &dev_ctx = *pool.Get(place);
|
||||
|
||||
// FIXME(yuyang18): We save variable to local file now, but we should change
|
||||
// it to save an output stream.
|
||||
std::ofstream fout(filename, std::ios::binary);
|
||||
PADDLE_ENFORCE(static_cast<bool>(fout), "Cannot open %s to write",
|
||||
filename);
|
||||
|
||||
auto save_as_fp16 = ctx.Attr<bool>("save_as_fp16");
|
||||
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;
|
||||
framework::TransDataType(in_kernel_type, out_kernel_type, tensor, &out);
|
||||
// copy LoD info to the new tensor
|
||||
out.set_lod(tensor.lod());
|
||||
framework::SerializeToStream(fout, out, dev_ctx);
|
||||
} else {
|
||||
framework::SerializeToStream(fout, tensor, dev_ctx);
|
||||
}
|
||||
fout.close();
|
||||
}
|
||||
|
||||
void SaveSelectedRows(const framework::ExecutionContext &ctx,
|
||||
const platform::Place &place,
|
||||
const framework::Variable *var) const {
|
||||
framework::Variable *out_put_var = ctx.OutputVar(LOOKUP_TABLE_PATH);
|
||||
PADDLE_ENFORCE(
|
||||
out_put_var != nullptr,
|
||||
"Can not find variable kLookupTablePath for SaveSelectedRows");
|
||||
auto *lt_var = out_put_var->GetMutable<std::string>();
|
||||
|
||||
std::string filename = lt_var->data();
|
||||
VLOG(4) << "SaveSelectedRows get File name: " << filename;
|
||||
|
||||
MkDirRecursively(DirName(filename).c_str());
|
||||
|
||||
auto &selectedRows = var->Get<framework::SelectedRows>();
|
||||
|
||||
// get device context from pool
|
||||
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
|
||||
auto &dev_ctx = *pool.Get(place);
|
||||
|
||||
// FIXME(yuyang18): We save variable to local file now, but we should change
|
||||
// it to save an output stream.
|
||||
std::ofstream fout(filename, std::ios::binary);
|
||||
PADDLE_ENFORCE(static_cast<bool>(fout), "Cannot open %s to write",
|
||||
filename);
|
||||
framework::SerializeToStream(fout, selectedRows, dev_ctx);
|
||||
fout.close();
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace operators
|
||||
} // namespace paddle
|
||||
Loading…
Reference in new issue