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78 lines
2.5 KiB
78 lines
2.5 KiB
/* Copyright (c) 2019 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 <vector>
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#include <algorithm>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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struct FillOpVisitor {
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FillOpVisitor(framework::LoDTensor *tensor, const std::vector<float> &value)
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: tensor_(tensor), value_(value) {}
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template <typename T>
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void apply() const {
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platform::CPUPlace cpu;
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auto *data = tensor_->mutable_data<T>(cpu);
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std::transform(value_.data(), value_.data() + tensor_->numel(), data,
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[](float dat) { return static_cast<T>(dat); });
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}
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framework::LoDTensor *tensor_;
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const std::vector<float> &value_;
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};
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template <typename T>
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class FillKernel : public framework::OpKernel<T> {
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public:
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void Compute(const paddle::framework::ExecutionContext &ctx) const override {
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auto &out = GET_DATA_SAFELY(ctx.Output<framework::LoDTensor>("Out"),
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"Output", "Out", "Fill");
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out.Resize(framework::make_ddim(ctx.Attr<std::vector<int>>("shape")));
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auto dtype =
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static_cast<framework::proto::VarType::Type>(ctx.Attr<int>("dtype"));
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platform::CPUPlace cpu;
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auto force_cpu = ctx.Attr<bool>("force_cpu");
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out.mutable_data(force_cpu ? cpu : ctx.GetPlace(), dtype);
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framework::LoDTensor tensor;
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if (force_cpu || platform::is_cpu_place(ctx.GetPlace())) {
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tensor.ShareDataWith(out);
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} else {
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// Always make tensor in CPU memory.
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tensor.Resize(out.dims());
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tensor.mutable_data(cpu, dtype);
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}
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framework::VisitDataType(
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dtype, FillOpVisitor(&tensor, ctx.Attr<std::vector<float>>("value")));
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if (!force_cpu && platform::is_gpu_place(ctx.GetPlace())) {
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// Copy tensor to out
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framework::TensorCopy(
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tensor, ctx.GetPlace(),
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ctx.template device_context<platform::DeviceContext>(), &out);
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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