wehub-resource-sync
50 lines
1.7 KiB
C++
50 lines
1.7 KiB
C++
// Copyright (c) 2023 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/i0e_grad_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/for_range.h"
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#include "paddle/phi/kernels/impl/bessel_grad_kernel_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void I0eGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out,
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const DenseTensor& out_grad,
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DenseTensor* x_grad) {
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if (x_grad && x_grad->numel() == 0) {
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dev_ctx.template Alloc<T>(x_grad);
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return;
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}
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auto size = x.numel();
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auto* x_data = x.data<T>();
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auto* out_data = out.data<T>();
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auto* out_grad_data = out_grad.data<T>();
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auto* x_grad_data = dev_ctx.template Alloc<T>(x_grad);
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funcs::ForRange<Context> for_range(dev_ctx, size);
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I0eGradFunctor<T> functor(x_data, out_data, out_grad_data, x_grad_data, size);
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for_range(functor);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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i0e_grad, CPU, ALL_LAYOUT, phi::I0eGradKernel, float, double) {}
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