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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
66 lines
2.4 KiB
C++
66 lines
2.4 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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#include "fastdeploy/core/fd_tensor.h"
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#include "fastdeploy/function/quantile.h"
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#include "glog/logging.h"
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#include "gtest_utils.h"
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#include "gtest/gtest.h"
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#include <array>
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#include <vector>
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namespace fastdeploy {
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namespace function {
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std::vector<float> CreateTestData() {
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// Shape: [2, 3, 4]
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std::vector<float> x_data = {
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1.8428625, 0.6461913, 0.13740455, 0.11430702, 0.659926, 0.535816,
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0.7429162, 0.8456049, -1.21228176, 0.29970083, 0.8621713, 0.40894133,
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0.12684688, 2.1566195, -9.42884097, 20.8476526, 0.2458633, 0.669046,
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0.87888306, 0.6762589, 0.666453, 0.32523027, 0.4139388, 0.8341406};
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return x_data;
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}
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TEST(fastdeploy, quantile) {
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CheckShape check_shape;
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CheckData check_data;
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FDTensor x, y;
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auto test_data = CreateTestData();
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x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
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std::vector<float> result = {1.834282, 2.149067, 0.089573, 20.743986,
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0.657856, 0.66838, 0.878203, 0.844758,
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0.657059, 0.325103, 0.85993, 0.832015};
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Quantile(x, {0.995}, {0}, &y);
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check_shape(y.shape, {3, 4});
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check_data(reinterpret_cast<const float*>(y.Data()), result.data(),
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result.size());
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result = {1.831033, 0.645088, 0.860979, 0.841238,
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0.662247, 2.141744, 0.874234, 20.647517};
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Quantile(x, {0.995}, {1}, &y);
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check_shape(y.shape, {2, 4});
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check_data(reinterpret_cast<const float*>(y.Data()), result.data(),
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result.size());
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result = {1.824912, 0.844065, 0.855373, 20.567287, 0.875844, 0.831625};
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Quantile(x, {0.995}, {2}, &y);
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check_shape(y.shape, {2, 3});
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check_data(reinterpret_cast<const float*>(y.Data()), result.data(),
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result.size());
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}
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} // namespace function
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} // namespace fastdeploy
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