wehub-resource-sync
42 lines
1.3 KiB
C++
42 lines
1.3 KiB
C++
// Copyright (c) 2022 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/trunc_grad_kernel.h"
|
|
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void TruncGradKernel(const Context& dev_ctx,
|
|
const DenseTensor& out_grad UNUSED,
|
|
DenseTensor* in_grad) {
|
|
T* dx_data = dev_ctx.template Alloc<T>(in_grad);
|
|
|
|
int64_t numel = in_grad->numel();
|
|
memset(dx_data, 0.0, numel * sizeof(T));
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(trunc_grad,
|
|
CPU,
|
|
ALL_LAYOUT,
|
|
phi::TruncGradKernel,
|
|
float,
|
|
double,
|
|
int,
|
|
int64_t) {}
|