TIM-VX/src/tim/vx/ops/gather_elements_test.cc

173 lines
6.1 KiB
C++

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#include "tim/vx/context.h"
#include "tim/vx/graph.h"
#include "tim/vx/ops/gather_elements.h"
#include <iostream>
#include "gtest/gtest.h"
#include "test_utils.h"
TEST(GatherElements, shape_3_2_1_int32_axis_0) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({3, 2, 1});
tim::vx::ShapeType indices_shape({2, 2, 1});
tim::vx::ShapeType out_shape({2, 2, 1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::INT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec indices_spec(tim::vx::DataType::INT32, indices_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto input_tensor = graph->CreateTensor(input_spec);
auto indices_tensor = graph->CreateTensor(indices_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<int32_t> in_data = {
1, 2, 3, 4, 5, 6,
};
std::vector<int32_t> indices = {
1,
2,
0,
2,
};
std::vector<int32_t> golden = {
2, 3, 4, 6,
};
EXPECT_TRUE(
input_tensor->CopyDataToTensor(in_data.data(), in_data.size() * 4));
EXPECT_TRUE(
indices_tensor->CopyDataToTensor(indices.data(), indices.size() * 4));
auto op = graph->CreateOperation<tim::vx::ops::GatherElements>(0);
(*op).BindInputs({input_tensor, indices_tensor}).BindOutputs({output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<int32_t> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(GatherElements, shape_3_2_1_int32_axis_1) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({3, 2, 1});
tim::vx::ShapeType indices_shape({2, 2, 1});
tim::vx::ShapeType out_shape({2, 2, 1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::INT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec indices_spec(tim::vx::DataType::INT32, indices_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto input_tensor = graph->CreateTensor(input_spec);
auto indices_tensor = graph->CreateTensor(indices_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<int32_t> in_data = {
1, 2, 3, 4, 5, 6,
};
std::vector<int32_t> indices = {
1,
2,
0,
2,
};
std::vector<int32_t> golden = {
4, 5, 1, 5,
};
EXPECT_TRUE(
input_tensor->CopyDataToTensor(in_data.data(), in_data.size() * 4));
EXPECT_TRUE(
indices_tensor->CopyDataToTensor(indices.data(), indices.size() * 4));
auto op = graph->CreateOperation<tim::vx::ops::GatherElements>(1);
(*op).BindInputs({input_tensor, indices_tensor}).BindOutputs({output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<int32_t> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(GatherElements, shape_3_2_1_float32_axis_2) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({3, 2, 1});
tim::vx::ShapeType indices_shape({2, 2, 1});
tim::vx::ShapeType out_shape({2, 2, 1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::INT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec indices_spec(tim::vx::DataType::INT32, indices_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::INT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto input_tensor = graph->CreateTensor(input_spec);
auto indices_tensor = graph->CreateTensor(indices_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<float> in_data = {
1, 2, 3, 4, 5, 6,
};
std::vector<int32_t> indices = {
1,
2,
0,
2,
};
std::vector<float> golden = {
1, 2, 3, 4,
};
EXPECT_TRUE(
input_tensor->CopyDataToTensor(in_data.data(), in_data.size() * 4));
EXPECT_TRUE(
indices_tensor->CopyDataToTensor(indices.data(), indices.size() * 4));
auto op = graph->CreateOperation<tim::vx::ops::GatherElements>(2);
(*op).BindInputs({input_tensor, indices_tensor}).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);
}