wehub-resource-sync
57 lines
1.8 KiB
C++
57 lines
1.8 KiB
C++
// Copyright (c) 2022 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 "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/kernels/funcs/elementwise_base.h"
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namespace phi {
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template <typename InT, typename OutT>
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struct CastFunctor {
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__device__ __forceinline__ OutT operator()(const InT x) const {
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return static_cast<OutT>(x);
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}
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};
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template <typename InT, typename OutT>
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void CastCUDAKernelImpl(const GPUContext& dev_ctx,
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const DenseTensor& x,
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DataType out_dtype,
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DenseTensor* out) {
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std::vector<const DenseTensor*> inputs;
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std::vector<DenseTensor*> outputs;
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inputs.emplace_back(&x);
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outputs.emplace_back(out);
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dev_ctx.Alloc<OutT>(out);
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out->set_type(out_dtype);
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if (out->numel() == 0) return;
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funcs::ElementwiseKernel<OutT>(
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dev_ctx, inputs, &outputs, CastFunctor<InT, OutT>());
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}
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template <typename InT>
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void CastCUDAKernel(const GPUContext& dev_ctx,
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const DenseTensor& x,
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DataType out_dtype,
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DenseTensor* out) {
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PD_VISIT_ALL_TYPES(out_dtype, "CastCUDAKernelImpl", ([&] {
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CastCUDAKernelImpl<InT, data_t>(
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dev_ctx, x, out_dtype, out);
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}));
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}
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} // namespace phi
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