wehub-resource-sync
67 lines
2.0 KiB
Plaintext
67 lines
2.0 KiB
Plaintext
// 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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#include "paddle/phi/kernels/where_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_launch_config.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/broadcast_function.h"
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#include "paddle/phi/kernels/funcs/elementwise_functor.h"
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namespace phi {
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// Cond
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template <typename T>
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struct CondFunctor {
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inline HOSTDEVICE T operator()(const bool cond, const T x, const T y) const {
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return cond ? x : y;
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}
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};
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template <typename T, typename Context>
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void WhereKernel(const Context& dev_ctx,
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const DenseTensor& condition,
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const DenseTensor& x,
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const DenseTensor& y,
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DenseTensor* out) {
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std::vector<const DenseTensor*> ins = {&condition, &x, &y};
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std::vector<DenseTensor*> outs = {out};
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dev_ctx.template Alloc<T>(out);
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if (out && out->numel() == 0) {
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return;
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}
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CondFunctor<T> func;
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funcs::ElementwiseKernel<T, CondFunctor<T>, 1>(dev_ctx, ins, &outs, func);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(where,
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GPU,
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ALL_LAYOUT,
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phi::WhereKernel,
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bool,
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float,
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double,
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int,
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int8_t,
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int64_t,
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int16_t,
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uint8_t,
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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {}
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