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Added unit test for STACK (#298) 

Signed-off-by: Chen Xin <jack.chen@verisilicon.com>

Co-authored-by: Chen Xin <jack.chen@verisilicon.com>
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chxin66 2022-02-23 22:04:54 +08:00 committed by GitHub
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src/tim/vx/ops/stack_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/stack.h"
#include "gtest/gtest.h"
TEST(Stack, shape_2_3_axis_2) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType input_shape({2,3});
tim::vx::ShapeType output_shape({2,3,2});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
input_shape, tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
output_shape, tim::vx::TensorAttribute::OUTPUT);
auto input_tensor1 = graph->CreateTensor(input_spec);
auto input_tensor2 = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<float> in_data1 = {
1,4,
2,5,
3,6
};
std::vector<float> in_data2 = {
1,4,
2,5,
3,6
};
std::vector<float> golden = {
1,4,
2,5,
3,6,
1,4,
2,5,
3,6
};
EXPECT_TRUE(input_tensor1->CopyDataToTensor(
in_data1.data(), in_data1.size() * sizeof(float)));
EXPECT_TRUE(input_tensor2->CopyDataToTensor(
in_data2.data(), in_data2.size() * sizeof(float)));
auto op = graph->CreateOperation<tim::vx::ops::Stack>(2, 2);
(*op).BindInputs({input_tensor1,input_tensor2}).BindOutputs(
{output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(Stack, shape_2_3_axis_1) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType input_shape({2,3});
tim::vx::ShapeType output_shape({2,3,2});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
input_shape, tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
output_shape, tim::vx::TensorAttribute::OUTPUT);
auto input_tensor1 = graph->CreateTensor(input_spec);
auto input_tensor2 = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<float> in_data1 = {
1,4,
2,5,
3,6
};
std::vector<float> in_data2 = {
1,4,
2,5,
3,6
};
std::vector<float> golden = {
1,4,
1,4,
2,5,
2,5,
3,6,
3,6,
};
EXPECT_TRUE(input_tensor1->CopyDataToTensor(
in_data1.data(), in_data1.size() * sizeof(float)));
EXPECT_TRUE(input_tensor2->CopyDataToTensor(
in_data2.data(), in_data2.size() * sizeof(float)));
auto op = graph->CreateOperation<tim::vx::ops::Stack>(1, 2);
(*op).BindInputs({input_tensor1,input_tensor2}).BindOutputs(
{output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(Stack, shape_2_3_axis_0) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType input_shape({2,3});
tim::vx::ShapeType output_shape({2,3,2});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
input_shape, tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
output_shape, tim::vx::TensorAttribute::OUTPUT);
auto input_tensor1 = graph->CreateTensor(input_spec);
auto input_tensor2 = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<float> in_data1 = {
1,4,
2,5,
3,6
};
std::vector<float> in_data2 = {
1,4,
2,5,
3,6
};
std::vector<float> golden = {
1, 1,
4, 4,
2, 2,
5, 5,
3, 3,
6, 6
};
EXPECT_TRUE(input_tensor1->CopyDataToTensor(
in_data1.data(), in_data1.size() * sizeof(float)));
EXPECT_TRUE(input_tensor2->CopyDataToTensor(
in_data2.data(), in_data2.size() * sizeof(float)));
auto op = graph->CreateOperation<tim::vx::ops::Stack>(0, 2);
(*op).BindInputs({input_tensor1,input_tensor2}).BindOutputs(
{output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}