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# PyPilot Inference Script
from modeling_pypilot import PyPilotModel, PyPilotConfig
def test_inference():
print("🧪 Testing PyPilot Inference...")
config = PyPilotConfig()
model = PyPilotModel(config)
# Mock input (tokenized code)
dummy_input = torch.tensor([[1, 2, 3, 4, 5]])
with torch.no_grad():
output = model(dummy_input)
print(f"✅ Inference test passed! Output shape: {output.shape}")
return output
if __name__ == "__main__":
test_inference() |