chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,40 @@
|
||||
// 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_kernel.h"
|
||||
|
||||
#include <cmath>
|
||||
|
||||
#include "paddle/phi/backends/cpu/cpu_context.h"
|
||||
#include "paddle/phi/core/kernel_registry.h"
|
||||
|
||||
namespace phi {
|
||||
|
||||
template <typename T, typename Context>
|
||||
void TruncKernel(const Context& dev_ctx,
|
||||
const DenseTensor& x,
|
||||
DenseTensor* out) {
|
||||
int64_t numel = x.numel();
|
||||
const T* x_data = x.data<T>();
|
||||
T* out_data = dev_ctx.template Alloc<T>(out);
|
||||
|
||||
for (int64_t i = 0; i < numel; i++) {
|
||||
out_data[i] = trunc(x_data[i]);
|
||||
}
|
||||
}
|
||||
|
||||
} // namespace phi
|
||||
|
||||
PD_REGISTER_KERNEL(
|
||||
trunc, CPU, ALL_LAYOUT, phi::TruncKernel, float, double, int, int64_t) {}
|
||||
Reference in New Issue
Block a user