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Add ArgMax/ArgMin unit tests (#333) 

* Add ArgMax/ArgMin unit tests

https://github.com/VeriSilicon/TIM-VX/issues/330
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Kee 2022-03-25 09:46:50 +08:00 committed by GitHub
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src/tim/vx/ops/arg_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/arg.h"
#include "test_utils.h"
#include "gtest/gtest.h"
TEST(ArgMax, shape_2_2_axis_0) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({2, 2});
tim::vx::ShapeType out_shape({2});
tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto in_tensor = graph->CreateTensor(in_spec);
auto out_tensor = graph->CreateTensor(out_spec);
std::vector<float> in_data = {2, 1, 3, 10};
std::vector<int32_t> golden = {0, 1};
EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(float)));
auto op = graph->CreateOperation<tim::vx::ops::ArgMax>(0);
(*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<int32_t> output(golden.size());
EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(ArgMax, shape_2_2_axis_1) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({2, 2});
tim::vx::ShapeType out_shape({2});
tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto in_tensor = graph->CreateTensor(in_spec);
auto out_tensor = graph->CreateTensor(out_spec);
std::vector<float> in_data = {2, 1, 3, 10};
std::vector<int32_t> golden = {1, 1};
EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(float)));
auto op = graph->CreateOperation<tim::vx::ops::ArgMax>(1);
(*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<int32_t> output(golden.size());
EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(ArgMin, shape_2_2_axis_0) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({2, 2});
tim::vx::ShapeType out_shape({2});
tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto in_tensor = graph->CreateTensor(in_spec);
auto out_tensor = graph->CreateTensor(out_spec);
std::vector<float> in_data = {2, 1, 3, 10};
std::vector<int32_t> golden = {1, 0};
EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(float)));
auto op = graph->CreateOperation<tim::vx::ops::ArgMin>(0);
(*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<int32_t> output(golden.size());
EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(ArgMin, shape_2_2_axis_1) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({2, 2});
tim::vx::ShapeType out_shape({2});
tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto in_tensor = graph->CreateTensor(in_spec);
auto out_tensor = graph->CreateTensor(out_spec);
std::vector<float> in_data = {2, 1, 3, 10};
std::vector<int32_t> golden = {0, 0};
EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(float)));
auto op = graph->CreateOperation<tim::vx::ops::ArgMin>(1);
(*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<int32_t> output(golden.size());
EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}