wehub-resource-sync
55 lines
1.8 KiB
C++
55 lines
1.8 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/prod_kernel.h"
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/cpu/reduce.h"
|
|
#include "paddle/phi/kernels/full_kernel.h"
|
|
#include "paddle/phi/kernels/funcs/reduce_functor.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void ProdKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const IntArray& dims,
|
|
bool keep_dim,
|
|
bool reduce_all,
|
|
DenseTensor* out) {
|
|
if (x.numel() == 0) {
|
|
// fill with 1.
|
|
Full<T, Context>(dev_ctx, out->dims(), 1, out);
|
|
return;
|
|
}
|
|
|
|
reduce_all = recompute_reduce_all(x, dims, reduce_all);
|
|
auto out_dtype = x.dtype();
|
|
Reduce<CPUContext, T, funcs::ProdFunctor>(
|
|
dev_ctx, x, reduce_all, dims.GetData(), keep_dim, out_dtype, out);
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(prod,
|
|
CPU,
|
|
ALL_LAYOUT,
|
|
phi::ProdKernel,
|
|
float,
|
|
double,
|
|
int,
|
|
int64_t,
|
|
phi::complex64,
|
|
phi::complex128) {}
|