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Added unit test for batch2space and space2batch (#321)

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Kee 2022-03-15 21:25:01 +08:00 committed by GitHub
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61
src/tim/vx/ops/batch2space_test.cc Normal file
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/****************************************************************************
*
* 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/batch2space.h"
#include "gtest/gtest.h"
TEST(Batch2Space, shape_1_1_3_4_fp32_whcn) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({1, 1, 3, 4});
tim::vx::ShapeType out_shape({2, 2, 3, 1});
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<float> in_data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::vector<float> golden = {1, 4, 7, 10, 2, 5, 8, 11, 3, 6, 9, 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<tim::vx::ops::Batch2Space>(
std::vector<int>{2, 2}, std::vector<int>{0, 0, 0, 0});
(*op).BindInputs({input_tensor}).BindOutputs({output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(12);
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}

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src/tim/vx/ops/space2batch_test.cc Normal file
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/****************************************************************************
*
* 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<float> in_data = {1, 4, 7, 10, 2, 5, 8, 11, 3, 6, 9, 12};
std::vector<float> 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<tim::vx::ops::Space2Batch>(
std::vector<int>{2, 2}, std::vector<int>{0, 0, 0, 0});
(*op).BindInputs({input_tensor}).BindOutputs({output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(12);
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}