wehub-resource-sync
78 lines
2.7 KiB
Plaintext
78 lines
2.7 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/sparse/unary_grad_kernel.h"
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#include "paddle/phi/kernels/sparse/unary_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/sparse/empty_kernel.h"
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#include "paddle/phi/kernels/sparse/impl/unary_grad_kernel_impl.h"
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namespace phi {
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namespace sparse {
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// just copy from paddle\phi\kernels\sparse\cpu\reshape_grad_kernel.cc
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template <typename T, typename Context>
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void ReshapeCooGradKernel(const Context& dev_ctx,
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const SparseCooTensor& x,
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const SparseCooTensor& dout,
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SparseCooTensor* dx) {
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EmptyLikeCooKernel<T, Context>(dev_ctx, x, dx);
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phi::IntArray x_shape(vectorize(x.dims()));
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ReshapeCooKernel<T, Context>(dev_ctx, dout, x_shape, dx);
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}
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// just copy from paddle\phi\kernels\sparse\cpu\reshape_grad_kernel.cc
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template <typename T, typename Context>
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void ReshapeCsrGradKernel(const Context& dev_ctx,
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const SparseCsrTensor& x,
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const SparseCsrTensor& dout,
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SparseCsrTensor* dx) {
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EmptyLikeCsrKernel<T, Context>(dev_ctx, x, dx);
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phi::IntArray x_shape(vectorize(x.dims()));
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ReshapeCsrKernel<T, Context>(dev_ctx, dout, x_shape, dx);
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}
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} // namespace sparse
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} // namespace phi
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PD_REGISTER_KERNEL(reshape_coo_grad,
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GPU,
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ALL_LAYOUT,
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phi::sparse::ReshapeCooGradKernel,
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phi::float16,
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float,
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double,
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int8_t,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool) {}
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PD_REGISTER_KERNEL(reshape_csr_grad,
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GPU,
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ALL_LAYOUT,
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phi::sparse::ReshapeCsrGradKernel,
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phi::float16,
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float,
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double,
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int8_t,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool) {}
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