wehub-resource-sync
81 lines
2.9 KiB
Plaintext
81 lines
2.9 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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#ifndef PADDLE_WITH_HIP
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#include "paddle/phi/kernels/affine_grid_grad_kernel.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/backends/gpu/gpu_device_function.h"
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#include "paddle/phi/backends/gpu/gpu_dnn.h"
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#include "paddle/phi/backends/gpu/gpu_primitives.h"
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#include "paddle/phi/common/int_array.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/full_kernel.h"
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namespace phi {
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using ScopedSpatialTransformerDescriptor =
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phi::backends::gpu::ScopedSpatialTransformerDescriptor;
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template <typename T, typename Context>
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void AffineGridGradCudnnKernel(const Context& dev_ctx,
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const DenseTensor& output_grad,
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const IntArray& outputShape,
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bool align_corners,
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DenseTensor* input_grad) {
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PADDLE_ENFORCE_EQ(
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dev_ctx.GetPlace().GetType() == AllocationType::GPU,
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true,
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common::errors::InvalidArgument(
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"Only support for CUDAPlace.Please switch your context from "
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"CPUPlace to CUDAPlace or update your cudnn."));
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if (output_grad.numel() == 0 || input_grad->numel() == 0) {
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Full<T, Context>(dev_ctx, input_grad->dims(), 0, input_grad);
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return;
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}
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auto handle = dev_ctx.cudnn_handle();
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auto& theta_grad = input_grad;
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int64_t n = output_grad.dims()[0];
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// TODO(large-tensor): downstream functors may still use int
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auto& size_attr = outputShape.GetData();
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int h_size_data[4] = {0};
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h_size_data[0] = n;
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h_size_data[1] = size_attr[1];
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h_size_data[2] = size_attr[2];
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h_size_data[3] = size_attr[3];
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ScopedSpatialTransformerDescriptor st_desc;
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cudnnSpatialTransformerDescriptor_t cudnn_st_desc =
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st_desc.descriptor<T>(4, h_size_data);
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const T* output_grad_data = output_grad.data<T>();
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T* theta_grad_data = dev_ctx.template Alloc<T>(theta_grad);
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PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cudnnSpatialTfGridGeneratorBackward(
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handle, cudnn_st_desc, output_grad_data, theta_grad_data));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(affine_grid_grad, // cuda_only
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GPUDNN,
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ALL_LAYOUT,
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phi::AffineGridGradCudnnKernel,
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float,
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double){};
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#endif
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