masahi commented on issue #6432: URL: https://github.com/apache/incubator-tvm/issues/6432#issuecomment-689772525
@j-paulus this should be fixed in https://github.com/apache/incubator-tvm/pull/6433. The following script works for me ``` import torch from tvm import relay class TriggerBug(torch.nn.Module): def __init__(self): super(TriggerBug, self).__init__() self.bn = torch.nn.BatchNorm2d(8) # input C:(N,C,H,W) def forward(self, x): x = torch.stack((x, x), dim=3) return self.bn(x) x_in = torch.randn(8, 8, 8) torch_model = TriggerBug() traced_model = torch.jit.trace(torch_model, (x_in,)) mod, params = relay.frontend.from_pytorch(traced_model, [('x_in', x_in.shape)]) print(mod["main"]) ``` Thanks for reporting many issues in the PyTorch frontend. I really appreciate them! ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
