[X] I have searched the existing issues and checked the recent builds/commits
What happened?
I'm running torch 2.0.1+cu118 and python 3.10.10. I get the following warnings:
E:\New folder\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py:314: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
known = {axis for axis in composite_axis if axis_name2known_length[axis] != _unknown_axis_length}
E:\New folder\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py:315: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
unknown = {axis for axis in composite_axis if axis_name2known_length[axis] == _unknown_axis_length}
E:\New folder\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py:158: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
assert x.shape[1] == self.channels
E:\New folder\stable-diffusion-webui\modules\sd_hijack_unet.py:26: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if a.shape[-2:] != b.shape[-2:]:
E:\New folder\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py:109: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
assert x.shape[1] == self.channels
E:\New folder\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py:314: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
known = {axis for axis in composite_axis if axis_name2known_length[axis] != _unknown_axis_length}
E:\New folder\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py:315: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
unknown = {axis for axis in composite_axis if axis_name2known_length[axis] == _unknown_axis_length}
E:\New folder\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py:158: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
assert x.shape[1] == self.channels
E:\New folder\stable-diffusion-webui\modules\sd_hijack_unet.py:26: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if a.shape[-2:] != b.shape[-2:]:
E:\New folder\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py:109: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
assert x.shape[1] == self.channels
Additional information
I put mozilla firefox, but I'm using Opera GX browser. I heard it is recommend most for running SD because it gives a bit of a speed boost in running SD. (might consider adding it as an option to the 'What browsers do you use to access the UI ?' dropdown list option above.
missionfloyd
commented
1 year ago
Is there an existing issue for this?
What happened?
I'm running torch 2.0.1+cu118 and python 3.10.10. I get the following warnings:
Steps to reproduce the problem
Go to TensorRT tab and press convert Unet to ONNX
What should have happened?
no warning should happen
Commit where the problem happens
version: v1.3.1-175-g30bbb8bc • python: 3.10.10 • torch: 2.0.1+cu118 • xformers: N/A • gradio: 3.32.0 • checkpoint: 3f8f827f79
What Python version are you running on ?
Python 3.10.x
What platforms do you use to access the UI ?
Windows
What device are you running WebUI on?
Nvidia GPUs (RTX 20 above)
What browsers do you use to access the UI ?
Mozilla Firefox
Command Line Arguments
List of extensions
stable-diffusion-webui-tokenizer stable-diffusion-webui-tensorrt
Console logs
Additional information
I put mozilla firefox, but I'm using Opera GX browser. I heard it is recommend most for running SD because it gives a bit of a speed boost in running SD. (might consider adding it as an option to the 'What browsers do you use to access the UI ?' dropdown list option above.