wehub-resource-sync
68 lines
2.1 KiB
C++
68 lines
2.1 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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#include "paddle/phi/kernels/take_along_axis_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/common/data_type.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/kernels/funcs/gather_scatter_functor.h"
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namespace phi {
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template <typename T, typename Context>
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void TakeAlongAxisKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& index,
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int axis,
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DenseTensor* out) {
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if (index.numel() == 0) {
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dev_ctx.template Alloc<T>(out);
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return;
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}
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if (x.numel() == 0) {
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Full<T, Context>(dev_ctx, out->dims(), static_cast<T>(0), out);
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return;
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}
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out->Resize(index.dims());
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dev_ctx.template Alloc<T>(out);
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if (out->numel() == 0) {
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return;
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}
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const auto& index_type = index.dtype();
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if (index_type == DataType::INT32) {
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funcs::cpu_gather_kernel<T, int32_t>(x, axis, index, *out, true, dev_ctx);
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} else if (index_type == DataType::INT64) {
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funcs::cpu_gather_kernel<T, int64_t>(x, axis, index, *out, true, dev_ctx);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(take_along_axis,
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CPU,
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ALL_LAYOUT,
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phi::TakeAlongAxisKernel,
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float,
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double,
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int,
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int16_t,
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uint8_t,
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int64_t) {}
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