wehub-resource-sync
50 lines
1.7 KiB
C++
50 lines
1.7 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include "paddle/phi/kernels/cum_kernel.h"
|
|
|
|
#include "paddle/phi/backends/xpu/enforce_xpu.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void CumsumGradKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const DenseTensor& out_grad,
|
|
const Scalar& axis,
|
|
bool flatten,
|
|
bool exclusive,
|
|
bool reverse,
|
|
DenseTensor* x_grad) {
|
|
auto x_dims = x.dims();
|
|
// If the attribute of flatten is `True`, the cumsum kernel is compose of the
|
|
// operation of flatten and cumsum, need to flatten the tensor of input
|
|
// gradient, and last step need to unflatten the tensor
|
|
if (flatten) {
|
|
x_grad->Resize(out_grad.dims());
|
|
} else {
|
|
x_grad->Resize(x_dims);
|
|
}
|
|
CumsumKernel<T, Context>(
|
|
dev_ctx, out_grad, axis, flatten, exclusive, !reverse, x_grad);
|
|
if (flatten) {
|
|
x_grad->Resize(x_dims);
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(
|
|
cumsum_grad, XPU, ALL_LAYOUT, phi::CumsumGradKernel, float, int, int64_t) {}
|