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Added 2 cases for stack (#664) 

Added int32 and uint8 ut for stack op

Type: Code Improvement

Signed-off-by: Feiyue Chen <Feiyue.Chen@verisilicon.com>
This commit is contained in:
Chen Feiyue 2023-11-30 15:01:33 +08:00 committed by GitHub
parent 517397949d
commit 4578f40953
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1 changed files with 93 additions and 0 deletions
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93
src/tim/vx/ops/stack_test.cc
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@ -168,3 +168,96 @@ TEST(Stack, shape_3_4_axis_0) {
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(Stack, shape_3_4_axis_0_int32) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType input_shape({4, 3});
tim::vx::ShapeType output_shape({2, 4, 3});
tim::vx::TensorSpec input_spec(tim::vx::DataType::INT32, input_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::INT32, 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<int32_t> in_data = {
2, 1, 0, 1,
2, 4, 4, 4,
3, 2, 1, 4,
};
std::vector<int32_t> golden = {
2, 2,
1, 1,
0, 0,
1, 1,
2, 2,
4, 4,
4, 4,
4, 4,
3, 3,
2, 2,
1, 1,
4, 4,
};
EXPECT_TRUE(input_tensor1->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(int32_t)));
EXPECT_TRUE(input_tensor2->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(int32_t)));
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<int32_t> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(Stack, Stack_shape_2_4_axis_1_u8) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType input_shape({4});
tim::vx::ShapeType output_shape({4, 2});
tim::vx::TensorSpec input_spec(tim::vx::DataType::UINT8, input_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::UINT8, 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<uint8_t> in_data1 = {
2, 1, 0, 1,
};
std::vector<uint8_t> in_data2 = {
1, 0, 1, 2
};
std::vector<uint8_t> golden = {
2, 1, 0, 1,
1,0, 1, 2
};
EXPECT_TRUE(input_tensor1->CopyDataToTensor(in_data1.data(),
in_data1.size() * sizeof(uint8_t)));
EXPECT_TRUE(input_tensor2->CopyDataToTensor(in_data2.data(),
in_data2.size() * sizeof(uint8_t)));
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<uint8_t> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}