mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 03:46:40 +08:00
52 lines
1.7 KiB
C++
52 lines
1.7 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 "fastdeploy/function/linspace.h"
|
|
|
|
namespace fastdeploy {
|
|
namespace function {
|
|
|
|
template <typename T>
|
|
void LinspaceKernel(double start, double end, int num, FDTensor* out) {
|
|
FDASSERT(
|
|
num > 0,
|
|
"The num of linspace op should be larger than 0, but received num is %d",
|
|
num);
|
|
out->Allocate({num}, TypeToDataType<T>::dtype);
|
|
T* out_data = reinterpret_cast<T*>(out->Data());
|
|
if (num > 1) {
|
|
// step should be of double type for all types
|
|
double step = (static_cast<double>(end - start)) / (num - 1);
|
|
int half_num = num / 2;
|
|
for (int i = 0; i < num; ++i) {
|
|
if (i < half_num) {
|
|
out_data[i] = static_cast<T>(start + step * i);
|
|
} else {
|
|
out_data[i] = static_cast<T>(end - step * (num - i - 1));
|
|
}
|
|
}
|
|
} else {
|
|
out_data[0] = static_cast<T>(start);
|
|
}
|
|
}
|
|
|
|
void Linspace(double start, double end, int num, FDTensor* out,
|
|
FDDataType dtype) {
|
|
FD_VISIT_INT_FLOAT_TYPES(dtype, "LinspaceKernel", ([&] {
|
|
LinspaceKernel<data_t>(start, end, num, out);
|
|
}));
|
|
}
|
|
|
|
} // namespace function
|
|
} // namespace fastdeploy
|