mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 03:46:40 +08:00
37 lines
1.4 KiB
C++
37 lines
1.4 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.
|
||
|
||
#pragma once
|
||
|
||
#include "fastdeploy/core/fd_tensor.h"
|
||
|
||
namespace fastdeploy {
|
||
namespace function {
|
||
|
||
/** Construct a new Tensor by repeating x the number of times given by
|
||
** repeat_times. After tiling, the value of the i’th dimension of the
|
||
** output is equal to x.shape[i]*repeat_times[i]. Both the number of
|
||
** dimensions of x and the number of elements in repeat_times should
|
||
** be less than or equal to 6.Support all data types.
|
||
@param x The input tensor.
|
||
@param repeat_times The lower bound
|
||
@param out The output tensor which stores the result.
|
||
*/
|
||
FASTDEPLOY_DECL void Tile(const FDTensor& x,
|
||
const std::vector<int64_t>& repeat_times,
|
||
FDTensor* out);
|
||
|
||
} // namespace function
|
||
} // namespace fastdeploy
|