27 lines
838 B
Python
27 lines
838 B
Python
import pybuda
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import torch
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# Sample PyTorch module
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class PyTorchTestModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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self.weights1 = torch.nn.Parameter(torch.rand(32, 32), requires_grad=True)
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self.weights2 = torch.nn.Parameter(torch.rand(32, 32), requires_grad=True)
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def forward(self, act1, act2):
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m1 = torch.matmul(act1, self.weights1)
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m2 = torch.matmul(act2, self.weights2)
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return m1 + m2, m1
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def test_module_direct_pytorch():
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input1 = torch.rand(4, 32, 32)
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input2 = torch.rand(4, 32, 32)
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# Run single inference pass on a PyTorch module, using a wrapper to convert to PyBUDA first
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output = pybuda.PyTorchModule("direct_pt", PyTorchTestModule()).run(input1, input2)
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print(output)
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if __name__ == "__main__":
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test_module_direct_pytorch()
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