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Fix the instance norm test input size bug in layout infer test #661

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Nov 22, 2023
Merged

Fix the instance norm test input size bug in layout infer test #661

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40 changes: 20 additions & 20 deletions src/tim/transform/layout_inference_test.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -229,30 +229,30 @@ TEST(InstanceNorm, nhwc) {
auto src_graph = ctx->CreateGraph();

tim::vx::ShapeType io_shape({2, 2, 2, 2}); //nhwc
tim::vx::ShapeType param_shape({1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
tim::vx::ShapeType param_shape({2});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
io_shape, tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec param_spec(tim::vx::DataType::FLOAT32,
tim::vx::TensorSpec param_spec(tim::vx::DataType::FLOAT32,
param_shape, tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
io_shape, tim::vx::TensorAttribute::OUTPUT);

auto input_tensor = src_graph->CreateTensor(input_spec);
auto beta_tensor = src_graph->CreateTensor(param_spec);
auto gamma_tensor = src_graph->CreateTensor(param_spec);
auto output_tensor = src_graph->CreateTensor(output_spec);

std::vector<float> in_data = {
0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f
};
std::vector<float> beta = {0};
std::vector<float> gamma = {1.0f};
std::vector<float> golden = {
0.0f, -1.1470304f, 0.0f, -0.22940612f, 0.0f, -0.22940612f, 0.0f, 1.6058424f, 0.99995005f,
-0.7337929f, -0.99995005f, 0.52413774f, -0.99995005f, -1.1531031f, 0.99995005f, 1.3627582f,
};
auto op = src_graph->CreateOperation<tim::vx::ops::InstanceNormalization>(1e-4f, tim::vx::DataLayout::CWHN);
(*op).BindInputs({input_tensor, beta_tensor, gamma_tensor}).BindOutputs({output_tensor});
auto input_tensor = src_graph->CreateTensor(input_spec);
auto beta_tensor = src_graph->CreateTensor(param_spec);
auto gamma_tensor = src_graph->CreateTensor(param_spec);
auto output_tensor = src_graph->CreateTensor(output_spec);

std::vector<float> in_data = {
0.0f, 1.0f, 0.0f, 2.0f, 0.0f, 2.0f, 0.0f, 4.0f, 1.0f, -1.0f, -1.0f, 2.0f, -1.0f, -2.0f, 1.0f, 4.0f
};
std::vector<float> beta = {0,0};
std::vector<float> gamma = {1.0f,1.0f};
std::vector<float> golden = {
0.0f, -1.1470304f, 0.0f, -0.22940612f, 0.0f, -0.22940612f, 0.0f, 1.6058424f, 0.99995005f,
-0.7337929f, -0.99995005f, 0.52413774f, -0.99995005f, -1.1531031f, 0.99995005f, 1.3627582f,
};
auto op = src_graph->CreateOperation<tim::vx::ops::InstanceNormalization>(1e-4f, tim::vx::DataLayout::CWHN);
(*op).BindInputs({input_tensor, beta_tensor, gamma_tensor}).BindOutputs({output_tensor});
// Do layout inference
auto transform = tim::transform::LayoutInference(src_graph, ctx);
auto infer_graph = transform.first;
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