// 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. #include "fastdeploy/core/fd_tensor.h" #include "fastdeploy/function/slice.h" #include "glog/logging.h" #include "gtest_utils.h" #include "gtest/gtest.h" #include #include namespace fastdeploy { namespace function { std::vector CreateTestData() { // Shape: [2, 3, 4] std::vector x_data = { 1.8428625, 0.6461913, 0.13740455, 0.11430702, 0.659926, 0.535816, 0.7429162, 0.8456049, -1.21228176, 0.29970083, 0.8621713, 0.40894133, 0.12684688, 2.1566195, -9.42884097, 20.8476526, 0.2458633, 0.669046, 0.87888306, 0.6762589, 0.666453, 0.32523027, 0.4139388, 0.8341406}; return x_data; } TEST(fastdeploy, slice) { CheckShape check_shape; CheckData check_data; FDTensor x, y; auto test_data = CreateTestData(); x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data()); // x[0:1] Slice(x, {0}, {0}, {1}, &y); std::vector result = {1.842862, 0.646191, 0.137405, 0.114307, 0.659926, 0.535816, 0.742916, 0.845605, -1.212282, 0.299701, 0.862171, 0.408941}; check_shape(y.shape, {1, 3, 4}); check_data(reinterpret_cast(y.Data()), result.data(), result.size()); // x[:, 1:2] Slice(x, {1}, {1}, {2}, &y); result = {0.659926, 0.535816, 0.742916, 0.845605, 0.245863, 0.669046, 0.878883, 0.676259}; check_shape(y.shape, {2, 1, 4}); check_data(reinterpret_cast(y.Data()), result.data(), result.size()); // x[:, 0:1, 2:4] Slice(x, {1, 2}, {0, 2}, {1, 4}, &y); result = {0.137405, 0.114307, -9.428841, 20.847652}; check_shape(y.shape, {2, 1, 2}); check_data(reinterpret_cast(y.Data()), result.data(), result.size()); } } // namespace function } // namespace fastdeploy