Skip to content

add some Broadcast unit tests #692

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

add some Broadcast unit tests #692

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
74 changes: 74 additions & 0 deletions src/tim/vx/ops/broadcast_test.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -73,6 +73,80 @@ TEST(Broadcast, ScalarTo2D_2x3) {
CheckResult(graph, golden, output_tensor);
}

TEST(Broadcast, ScalarTo2D_INT32) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();

tim::vx::ShapeType input_shape({1});
tim::vx::ShapeType output_shape({6, 1});
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_tensor = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);

std::vector<int32_t> in_data = {
5,
};
std::vector<int32_t> golden = {
5, 5, 5, 5, 5, 5,
};
std::vector<uint32_t> shape = {6, 1};
std::vector<int32_t> dimensions = {1};

EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(int32_t)));

auto op = graph->CreateOperation<tim::vx::ops::Broadcast>(shape, dimensions);
(*op).BindInputs({input_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(Broadcast, ScalarTo2D_INT8) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();

tim::vx::ShapeType input_shape({1});
tim::vx::ShapeType output_shape({6, 1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::INT8, input_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::INT8, output_shape,
tim::vx::TensorAttribute::OUTPUT);

auto input_tensor = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);

std::vector<int8_t> in_data = {
5,
};
std::vector<int8_t> golden = {
5, 5, 5, 5, 5, 5,
};
std::vector<uint32_t> shape = {6, 1};
std::vector<int32_t> dimensions = {1};

EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(),
in_data.size() * sizeof(int8_t)));

auto op = graph->CreateOperation<tim::vx::ops::Broadcast>(shape, dimensions);
(*op).BindInputs({input_tensor}).BindOutputs({output_tensor});

EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());

std::vector<int8_t> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}

TEST(Broadcast, 1DTo2D) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
Expand Down