wehub-resource-sync
90 lines
3.0 KiB
C++
90 lines
3.0 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/cum_maxmin_grad_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/gather_scatter_functor.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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namespace phi {
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template <typename T, typename Context>
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void CummaxGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& indices,
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const DenseTensor& out_grad,
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int axis,
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DataType dtype,
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DenseTensor* x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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funcs::SetConstant<Context, T> functor;
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functor(dev_ctx, x_grad, static_cast<T>(0));
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if (axis < 0) {
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axis = axis + x.dims().size();
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}
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if (dtype == DataType::INT32) {
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funcs::cpu_scatter_add_kernel<T, int32_t>(
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*x_grad, axis, indices, out_grad, true, dev_ctx);
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} else if (dtype == DataType::INT64) {
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funcs::cpu_scatter_add_kernel<T, int64_t>(
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*x_grad, axis, indices, out_grad, true, dev_ctx);
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}
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}
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template <typename T, typename Context>
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void CumminGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& indices,
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const DenseTensor& out_grad,
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int axis,
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DataType dtype,
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DenseTensor* x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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funcs::SetConstant<Context, T> functor;
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functor(dev_ctx, x_grad, static_cast<T>(0));
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if (axis < 0) {
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axis = axis + x.dims().size();
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}
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if (dtype == DataType::INT32) {
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funcs::cpu_scatter_add_kernel<T, int32_t>(
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*x_grad, axis, indices, out_grad, true, dev_ctx);
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} else if (dtype == DataType::INT64) {
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funcs::cpu_scatter_add_kernel<T, int64_t>(
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*x_grad, axis, indices, out_grad, true, dev_ctx);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(cummax_grad,
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CPU,
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ALL_LAYOUT,
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phi::CummaxGradKernel,
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float,
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double,
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int32_t,
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int64_t) {}
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PD_REGISTER_KERNEL(cummin_grad,
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CPU,
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ALL_LAYOUT,
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phi::CumminGradKernel,
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float,
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double,
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int32_t,
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int64_t) {}
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