Traceback (most recent call last):
File "test.py", line 12, in <module>
model = whisper.load_model("turbo")
File "/data/jiacheng/pyProjects/speech-to-text/whisper/__init__.py", line 160, in load_model
return model.to(device)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py", line 67, in decorated
return fn(*args, **kwargs)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/module.py", line 84, in to
return self._apply(convert)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch/nn/modules/module.py", line 624, in _apply
self._buffers[key] = fn(buf)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/module.py", line 82, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py", line 67, in decorated
return fn(*args, **kwargs)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/device_guard.py", line 45, in wrapper
return func(*args, **kwargs)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/tensor_methods.py", line 89, in _to
return torch_npu._C.to(self, *args, **kwargs)
NotImplementedError: Unsupported device type for sparse layout: xla
Traceback (most recent call last):
File "test.py", line 12, in <module>
model = whisper.load_model("turbo")
File "/data/jiacheng/pyProjects/speech-to-text/whisper/__init__.py", line 160, in load_model
return model.to(device)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py", line 67, in decorated
return fn(*args, **kwargs)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/module.py", line 84, in to
return self._apply(convert)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch/nn/modules/module.py", line 624, in _apply
self._buffers[key] = fn(buf)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/module.py", line 82, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/contrib/transfer_to_npu.py", line 67, in decorated
return fn(*args, **kwargs)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/device_guard.py", line 45, in wrapper
return func(*args, **kwargs)
File "/usr/local/python3.8/lib/python3.8/site-packages/torch_npu/utils/tensor_methods.py", line 89, in _to
return torch_npu._C.to(self, *args, **kwargs)
NotImplementedError: Unsupported device type for sparse layout: xla