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chore: remove comments
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tests/py/dynamo/conversion/test_linear_aten.py

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@@ -104,12 +104,6 @@ class linear(nn.Module):
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def __init__(self):
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super().__init__()
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self.weight = torch.rand(weight_shape)
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# self.weight = torch.randn(weight_shape)
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# # Note: When using torch.randn for weight initialization, the following assertion error occurs:
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# AssertionError: Tensor-likes are not close!
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# Mismatched elements: 323 / 2304 (14.0%)
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# Greatest absolute difference: 0.015128374099731445 at index (1, 1, 139) (up to 0.001 allowed)
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# Greatest relative difference: 3.242828845977783 at index (1, 1, 154) (up to 0.001 allowed)
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if bias_shape:
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self.bias = torch.randn(bias_shape)

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