/**************************************************************************** * * Copyright (c) 2021 Vivante Corporation * * Permission is hereby granted, free of charge, to any person obtaining a * copy of this software and associated documentation files (the "Software"), * to deal in the Software without restriction, including without limitation * the rights to use, copy, modify, merge, publish, distribute, sublicense, * and/or sell copies of the Software, and to permit persons to whom the * Software is furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. * *****************************************************************************/ #include "tim/vx/context.h" #include "tim/vx/graph.h" #include "tim/vx/ops/space2batch.h" #include "gtest/gtest.h" TEST(Space2Batch, shape_2_2_3_1_fp32_whcn) { auto ctx = tim::vx::Context::Create(); auto graph = ctx->CreateGraph(); tim::vx::ShapeType in_shape({2, 2, 3, 1}); tim::vx::ShapeType out_shape({1, 1, 3, 4}); tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, in_shape, tim::vx::TensorAttribute::INPUT); tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, out_shape, tim::vx::TensorAttribute::OUTPUT); std::vector in_data = {1, 4, 7, 10, 2, 5, 8, 11, 3, 6, 9, 12}; std::vector golden = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}; auto input_tensor = graph->CreateTensor(input_spec); auto output_tensor = graph->CreateTensor(output_spec); EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size())); auto op = graph->CreateOperation( std::vector{2, 2}, std::vector{0, 0, 0, 0}); (*op).BindInputs({input_tensor}).BindOutputs({output_tensor}); EXPECT_TRUE(graph->Compile()); EXPECT_TRUE(graph->Run()); std::vector output(12); EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data())); EXPECT_EQ(golden, output); }