wehub-resource-sync
67 lines
2.3 KiB
C++
67 lines
2.3 KiB
C++
/* Copyright (c) 2022 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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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void FullBatchSizeLikeKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int>& shape UNUSED,
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const Scalar& val,
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DataType dtype,
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int x_batch_size_dim,
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int out_batch_size_dim,
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DenseTensor* out) {
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if (!x.lod().empty() && x_batch_size_dim == 0) {
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// set the correct batch size for the DenseTensor.
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auto odims = out->dims();
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odims[out_batch_size_dim] = static_cast<int>(x.lod().back().size()) - 1;
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FullKernel<T, Context>(dev_ctx, vectorize(odims), val, dtype, out);
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}
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FullLikeKernel<T, Context>(dev_ctx, x, val, dtype, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(full_batch_size_like,
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CPU,
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ALL_LAYOUT,
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phi::FullBatchSizeLikeKernel,
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float,
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double,
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int,
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int64_t,
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bool) {
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kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(full_batch_size_like,
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GPU,
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ALL_LAYOUT,
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phi::FullBatchSizeLikeKernel,
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float,
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double,
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int,
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int64_t,
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bool,
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phi::float16,
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phi::bfloat16) {
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kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
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}
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#endif
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