wehub-resource-sync
73 lines
2.2 KiB
Plaintext
73 lines
2.2 KiB
Plaintext
/* 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/softmax_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/math_function.h"
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#include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h"
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namespace phi {
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template <typename T, typename Context>
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void SoftmaxGradGPUDNNKernel(const Context& dev_ctx,
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const DenseTensor& out,
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const DenseTensor& out_grad,
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int axis,
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DenseTensor* x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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if (x_grad->numel() == 0) return;
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const int rank = out.dims().size();
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// For 0D Tensor
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if (rank == 0) {
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funcs::set_constant(dev_ctx, x_grad, static_cast<T>(0.0));
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return;
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}
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SoftmaxBackwardCUDAKernelDriver<T>(dev_ctx, out, out_grad, axis, x_grad);
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}
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} // namespace phi
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#ifdef PADDLE_WITH_HIP
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PD_REGISTER_KERNEL(softmax_grad,
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GPUDNN,
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ALL_LAYOUT,
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phi::SoftmaxGradGPUDNNKernel,
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float,
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phi::float16,
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phi::bfloat16) {}
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#else
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#if CUDNN_VERSION_MIN(8, 1, 0)
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PD_REGISTER_KERNEL(softmax_grad,
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GPUDNN,
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ALL_LAYOUT,
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phi::SoftmaxGradGPUDNNKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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#else
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PD_REGISTER_KERNEL(softmax_grad,
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GPUDNN,
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ALL_LAYOUT,
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phi::SoftmaxGradGPUDNNKernel,
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float,
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double,
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phi::float16) {}
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#endif
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#endif
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