Add linspace

This commit is contained in:
zhoushunjie
2022-11-24 03:46:05 +00:00
parent e147dec59e
commit a14c55069f
3 changed files with 138 additions and 0 deletions

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// 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

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// 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.
#pragma once
#include "fastdeploy/core/fd_tensor.h"
namespace fastdeploy {
namespace function {
/** Return fixed number of evenly spaced values within a given interval.
@param start The input start is start variable of range.
@param end The input stop is start variable of range.
@param num The input num is given num of the sequence.
@param out The output tensor which stores the result.
@param dtype The data type of output tensor, default to float32.
*/
FASTDEPLOY_DECL void Linspace(double start, double end, int num, FDTensor* out,
FDDataType dtype = FDDataType::FP32);
} // namespace function
} // namespace fastdeploy

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// 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/core/fd_tensor.h"
#include "fastdeploy/function/linspace.h"
#include <numeric>
#include <vector>
#include "glog/logging.h"
#include "gtest_utils.h"
#include "gtest/gtest.h"
namespace fastdeploy {
namespace function {
TEST(fastdeploy, linspace) {
CheckShape check_shape;
CheckData check_data;
FDTensor x;
std::vector<float> result = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
Linspace(0, 10, 11, &x);
check_shape({11}, x.Shape());
check_data(reinterpret_cast<const float*>(x.Data()), result.data(),
result.size());
result = {10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0};
Linspace(10, 0, 11, &x);
check_shape({11}, x.Shape());
check_data(reinterpret_cast<const float*>(x.Data()), result.data(),
result.size());
result = {10};
Linspace(10, 0, 1, &x);
check_shape({1}, x.Shape());
check_data(reinterpret_cast<const float*>(x.Data()), result.data(),
result.size());
}
} // namespace function
} // namespace fastdeploy