40 lines
1.4 KiB
Plaintext
40 lines
1.4 KiB
Plaintext
/* Copyright (c) 2023 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/i0_grad_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/funcs/elementwise_base.h"
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#include "paddle/phi/kernels/impl/bessel_grad_kernel_cuda_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void I0GradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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DenseTensor* x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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std::vector<const DenseTensor*> ins = {&x, &out_grad};
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std::vector<DenseTensor*> outs = {x_grad};
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auto functor = CudaI0GradFunctor<T>();
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funcs::ElementwiseKernel<T>(dev_ctx, ins, &outs, functor);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(i0_grad, GPU, ALL_LAYOUT, phi::I0GradKernel, float, double) {
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}
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