Open jhlee508 opened 1 week ago
Based on this line RuntimeError: Timeout while reading linear.output_add_2
it looks like the device is in a bad state.
Can you do a card reset using the tt-smi tool? or just doing a system reboot. Then try again.
Both tt-smi -r 0
and sudo reboot
didn't work. I don't understand why the input_tensor = torch.randn(32, 32)
causes an error. However, it works fine when it's input_tensor = torch.randn(1, 32, 32)
. Should I just use the latter as a workaround? (Even though this problem should be fixed.)
pybuda
expects a batch dimension, that's why including the extra (1, 32, 32) is required.
This single linear layer test code causes an error as below. It works fine if the input_tensor shape is [1, 32] or [1, 32, 32]. However, when the input is [32, 32] it gets a timeout error when reading output (linear.output_add_2). Could you help me find the solution?
Test code
Error Log