67 lines
2.3 KiB
C++
67 lines
2.3 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/reduce_any_kernel.h"
|
|
|
|
#include "paddle/phi/backends/xpu/enforce_xpu.h"
|
|
#include "paddle/phi/backends/xpu/xpu_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/xpu/reduce.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void AnyRawKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const std::vector<int64_t>& dims,
|
|
bool keep_dim,
|
|
bool reduce_all,
|
|
DenseTensor* out) {
|
|
reduce_all = recompute_reduce_all(x, dims, reduce_all);
|
|
using Type = bool;
|
|
|
|
using XPUType = typename XPUTypeTrait<Type>::Type;
|
|
auto f = [](xpu::Context* xpu_ctx,
|
|
const Type* x,
|
|
Type* y,
|
|
const std::vector<int64_t>& xdims,
|
|
const std::vector<int64_t>& reduce_dims) {
|
|
return xpu::reduce_any<XPUType>(xpu_ctx,
|
|
reinterpret_cast<const XPUType*>(x),
|
|
reinterpret_cast<XPUType*>(y),
|
|
xdims,
|
|
reduce_dims);
|
|
};
|
|
|
|
int r = 0;
|
|
if (!std::is_same<T, bool>::value) {
|
|
auto x_bool = Cast<T, Context>(dev_ctx, x, DataType::BOOL);
|
|
DenseTensor out_bool;
|
|
out_bool.Resize(out->dims());
|
|
r = XPUReduce<Context, Type>(
|
|
dev_ctx, x_bool, dims, keep_dim, reduce_all, out, f);
|
|
} else {
|
|
r = XPUReduce<Context, Type>(
|
|
dev_ctx, x, dims, keep_dim, reduce_all, out, f);
|
|
}
|
|
PADDLE_ENFORCE_XDNN_SUCCESS(r, "reduce_any");
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(
|
|
any_raw, XPU, ALL_LAYOUT, phi::AnyRawKernel, float, int, int64_t, bool) {
|
|
kernel->OutputAt(0).SetDataType(phi::DataType::BOOL);
|
|
}
|