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Added Ceil & unit test (#381) 

* Added Ceil & unit test

* Added Round & Unit test
This commit is contained in:
MESeraph 2022-05-05 17:11:31 +08:00 committed by GitHub
parent 7a8ae32f73
commit eab0d807a6
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3 changed files with 68 additions and 0 deletions
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6
include/tim/vx/ops/simple_operations.h
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@ -82,6 +82,10 @@ namespace ops {
*
* returns the largest integer less than or equal to a given number.
*
* ## Ceil
*
* returns the largest integer more than or equal to a given number.
*
* ## Cast
*
* Change the format from input tensor to output tensor. This operation ignores
@ -101,6 +105,8 @@ DECLARE_SIMPLE_OP(Rsqrt)
DECLARE_SIMPLE_OP(Square)
DECLARE_SIMPLE_OP(LogicalNot)
DECLARE_SIMPLE_OP(Floor)
DECLARE_SIMPLE_OP(Ceil)
DECLARE_SIMPLE_OP(Round)
DECLARE_SIMPLE_OP(Cast)
#undef DECLARE_SIMPLE_OP

2
src/tim/vx/ops/simple_operations.cc
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@ -49,6 +49,8 @@ DEFINE_SIMPLE_OP(Rsqrt, VSI_NN_OP_RSQRT)
DEFINE_SIMPLE_OP(Square, VSI_NN_OP_SQUARE)
DEFINE_SIMPLE_OP(LogicalNot, VSI_NN_OP_LOGICAL_NOT)
DEFINE_SIMPLE_OP(Floor, VSI_NN_OP_FLOOR)
DEFINE_SIMPLE_OP(Ceil, VSI_NN_OP_CEIL)
DEFINE_SIMPLE_OP(Round, VSI_NN_OP_ROUND)
DEFINE_SIMPLE_OP(Cast, VSI_NN_OP_CAST)
#undef DEFINE_SIMPLE_OP

60
src/tim/vx/ops/simple_operations_test.cc
View File

@ -56,6 +56,66 @@ TEST(Floor, shape_5_1_fp32) {
EXPECT_EQ(golden, output);
}
TEST(Round, shape_15_1_fp32) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType io_shape({15, 1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
io_shape, tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
io_shape, tim::vx::TensorAttribute::OUTPUT);
auto input_tensor = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<float> in_data = { 0.1, 0.5, 0.9, 1.2, 1.5,
1.8, 2.3, 2.5, 2.7, -1.1,
-1.5, -1.9, -2.2, -2.5, -2.8 };
std::vector<float> golden = {0., 0., 1., 1., 2.,
2., 2., 2., 3., -1.,
-2., -2., -2., -2., -3. };
EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size()*4));
auto add = graph->CreateOperation<tim::vx::ops::Round>();
(*add).BindInputs({input_tensor}).BindOutputs({output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(15, 0);
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(Ceil, shape_5_1_fp32) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType io_shape({5, 1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
io_shape, tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
io_shape, tim::vx::TensorAttribute::OUTPUT);
auto input_tensor = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<float> in_data = { -2.5, -0.1, 0, 0.55, std::numeric_limits<float>::infinity() };
std::vector<float> golden = {-2, 0, 0, 1, std::numeric_limits<float>::infinity() };
EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size()*4));
auto add = graph->CreateOperation<tim::vx::ops::Ceil>();
(*add).BindInputs({input_tensor}).BindOutputs({output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(5, 0);
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(Cast, shape_5_1_fp32_to_int32) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();