mirror of
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
82 lines
2.6 KiB
C++
82 lines
2.6 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/concat.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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TEST(fastdeploy, concat1) {
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CheckShape check_shape;
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std::vector<FDTensor> inputs(3);
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FDTensor output;
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inputs[0].Allocate({5, 1, 4, 5}, FDDataType::FP32);
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inputs[1].Allocate({5, 2, 4, 5}, FDDataType::FP32);
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inputs[2].Allocate({5, 3, 4, 5}, FDDataType::FP32);
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Concat(inputs, &output, 1);
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check_shape(output.shape, {5, 6, 4, 5});
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}
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TEST(fastdeploy, concat2) {
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CheckShape check_shape;
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std::vector<FDTensor> inputs(3);
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FDTensor output;
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inputs[0].Allocate({2, 3, 4, 5}, FDDataType::FP32);
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inputs[1].Allocate({2, 3, 4, 5}, FDDataType::FP32);
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inputs[2].Allocate({2, 3, 4, 5}, FDDataType::FP32);
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Concat(inputs, &output, 1);
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check_shape(output.shape, {2, 9, 4, 5});
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}
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TEST(fastdeploy, concat3) {
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CheckShape check_shape;
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std::vector<FDTensor> inputs(3);
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FDTensor output;
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inputs[0].Allocate({1, 256, 170, 256}, FDDataType::FP32);
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inputs[1].Allocate({1, 128, 170, 256}, FDDataType::FP32);
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inputs[2].Allocate({1, 128, 170, 256}, FDDataType::FP32);
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Concat(inputs, &output, 1);
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check_shape(output.shape, {1, 512, 170, 256});
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}
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TEST(fastdeploy, concat4) {
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CheckShape check_shape;
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std::vector<FDTensor> inputs(3);
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FDTensor output;
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inputs[0].Allocate({2, 3, 4, 5}, FDDataType::FP32);
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inputs[1].Allocate({2, 3, 4, 5}, FDDataType::FP32);
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inputs[2].Allocate({0, 3, 4, 5}, FDDataType::FP32);
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Concat(inputs, &output, 0);
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check_shape(output.shape, {4, 3, 4, 5});
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}
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TEST(fastdeploy, concat5) {
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CheckShape check_shape;
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std::vector<FDTensor> inputs(3);
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FDTensor output;
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inputs[0].Allocate({5, 1, 4, 5}, FDDataType::FP32);
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inputs[1].Allocate({5, 2, 4, 5}, FDDataType::FP32);
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inputs[2].Allocate({5, 3, 4, 5}, FDDataType::FP32);
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Concat(inputs, &output, -3);
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check_shape(output.shape, {5, 6, 4, 5});
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}
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} // namespace function
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} // namespace fastdeploy
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