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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
79 lines
2.5 KiB
C++
79 lines
2.5 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/isfinite.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 <cmath>
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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]
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std::vector<float> x_data = {0.8428625, NAN, INFINITY,
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0.11430702, 0.659926, 0.535816};
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return x_data;
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}
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TEST(fastdeploy, finite) {
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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}, FDDataType::FP32, test_data.data());
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std::array<bool, 6> result = {false, true, false, false, false, false};
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IsNan(x, &y);
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check_shape(y.shape, {2, 3});
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check_data(reinterpret_cast<const bool*>(y.Data()), result.data(),
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result.size());
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std::vector<int> int_result = {0, 1, 0, 0, 0, 0};
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IsNan(x, &y, FDDataType::INT32);
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check_shape(y.shape, {2, 3});
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check_data(reinterpret_cast<const int*>(y.Data()), int_result.data(),
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int_result.size());
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result = {false, false, true, false, false, false};
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IsInf(x, &y);
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check_shape(y.shape, {2, 3});
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check_data(reinterpret_cast<const bool*>(y.Data()), result.data(),
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result.size());
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int_result = {0, 0, 1, 0, 0, 0};
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IsInf(x, &y, FDDataType::INT32);
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check_shape(y.shape, {2, 3});
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check_data(reinterpret_cast<const int*>(y.Data()), int_result.data(),
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int_result.size());
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result = {true, false, false, true, true, true};
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IsFinite(x, &y);
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check_shape(y.shape, {2, 3});
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check_data(reinterpret_cast<const bool*>(y.Data()), result.data(),
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result.size());
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int_result = {1, 0, 0, 1, 1, 1};
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IsFinite(x, &y, FDDataType::INT32);
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check_shape(y.shape, {2, 3});
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check_data(reinterpret_cast<const int*>(y.Data()), int_result.data(),
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int_result.size());
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}
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} // namespace function
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} // namespace fastdeploy
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