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https://github.com/PaddlePaddle/FastDeploy.git
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129dda7809
* Add sort function * Add isfinite function * upgrade isinf isnan * Add Scalar to FDTensor * Add floor, ceil function * add cast functions * Update out_tmp * Update quantile * add gather scatter along axis * finish quantile function * Add quantile unittest * refresh code style for test source code * Add comments * Add full function * Add scalar to fd tensor * Add full unittest * Add functions headers * move fdtensor operators to fastdeploy namespace
35 lines
1.3 KiB
C++
35 lines
1.3 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/core/fd_tensor.h"
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namespace fastdeploy {
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namespace function {
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/** Compute the quantile of the input along the specified axis. If any values
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** in a reduced row are NaN, then the quantiles for that reduction will be NaN.
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@param x The input tensor.
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@param q The q for calculate quantile, which should be in range [0, 1].
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@param axis The axis along which to calculate quantile. axis should be int
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or list of int.
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@param out The output tensor which stores the result.
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*/
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FASTDEPLOY_DECL void Quantile(const FDTensor& x, const std::vector<double>& q,
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const std::vector<int>& axis, FDTensor* out);
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} // namespace function
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} // namespace fastdeploy
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