tensor-tang
7 years ago
commit
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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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/fill_constant_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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fill_constant,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, float>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, double>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, int>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, int64_t>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext,
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paddle::platform::float16>)
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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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 "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.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 FillConstantOpKernel : 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 data_type =
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static_cast<framework::proto::VarType::Type>(ctx.Attr<int>("dtype"));
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auto value = ctx.Attr<float>("value");
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auto force_cpu = ctx.Attr<bool>("force_cpu");
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auto* out = ctx.Output<framework::Tensor>("Out");
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out->Resize(framework::make_ddim(ctx.Attr<std::vector<int>>("shape")));
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if (force_cpu) {
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auto cpu = platform::CPUPlace();
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out->mutable_data(cpu, framework::ToTypeIndex(data_type));
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} else {
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out->mutable_data(ctx.GetPlace(), framework::ToTypeIndex(data_type));
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}
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math::set_constant(ctx.template device_context<DeviceContext>(), out,
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value);
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}
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};
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} // namespace operators
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} // namespace paddle
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