wehub-resource-sync
70 lines
2.4 KiB
C++
70 lines
2.4 KiB
C++
/* 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/gaussian_inplace_grad_kernel.h"
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#include "paddle/phi/common/type_traits.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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// If T is not complex
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template <typename T,
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typename Context,
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std::enable_if_t<!std::is_same<T, complex64>::value &&
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!std::is_same<T, complex128>::value,
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bool> = true>
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void GaussianInplaceGrad(const Context& dev_ctx, DenseTensor* x_grad) {
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if (x_grad) {
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auto* data = dev_ctx.template Alloc<T>(x_grad);
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std::fill(data, data + x_grad->numel(), T(0));
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}
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}
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// If T is complex
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template <typename T,
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typename Context,
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std::enable_if_t<std::is_same<T, complex64>::value ||
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std::is_same<T, complex128>::value,
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bool> = true>
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void GaussianInplaceGrad(const Context& dev_ctx, DenseTensor* x_grad) {
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if (x_grad) {
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auto* data = dev_ctx.template Alloc<T>(x_grad);
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T value =
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T(static_cast<dtype::Real<T>>(0.0f), static_cast<dtype::Real<T>>(0.0f));
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std::fill(data, data + x_grad->numel(), value);
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}
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}
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template <typename T, typename Context>
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void GaussianInplaceGradKernel(const Context& dev_ctx,
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const DenseTensor& out_grad UNUSED,
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float mean UNUSED,
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float std UNUSED,
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int seed UNUSED,
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DenseTensor* x_grad) {
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GaussianInplaceGrad<T>(dev_ctx, x_grad);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(gaussian_inplace_grad,
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CPU,
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ALL_LAYOUT,
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phi::GaussianInplaceGradKernel,
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float,
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double,
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phi::complex64,
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phi::complex128) {}
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