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111 lines
4.2 KiB
111 lines
4.2 KiB
/* 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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"OP(LoadCombine) 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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LoadParamsFromBuffer(ctx, place, &fin, load_as_fp16, out_var_names);
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} else {
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PADDLE_ENFORCE(!filename.empty(),
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"OP(LoadCombine) 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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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(
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static_cast<bool>(*buffer),
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"There is a problem with loading model parameters. "
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"Please check whether the model file is complete or damaged.");
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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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