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The system cannot find the path specified.
16:51:55-883076 ERROR Not a git repository
16:51:55-908027 INFO nVidia toolkit detected
16:51:57-295309 INFO Torch 2.0.1+cu118
16:51:57-319374 INFO Torch backend: nVidia CUDA 11.8 cuDNN 8700
16:51:57-321346 INFO Torch detected GPU: NVIDIA GeForce RTX 2080 Ti VRAM 11264 Arch (7, 5) Cores 68
16:51:57-323338 INFO Verifying modules instalation status from requirements_windows_torch2.txt...
16:51:57-325333 INFO Verifying modules instalation status from requirements.txt...
16:51:59-921632 INFO headless: False
16:51:59-931603 INFO Load CSS...
Running on local URL: http://127.0.0.1:7860
I used today newest code V21.7.16.
I ran gui.bat --listen 127.0.0.1 --server_port 7860 --inbrowser under my conda environment. My accelerate version is 19, python version is 3.10
I got bugs as following:
WARNING The following values were not passed to accelerate launch and had defaults used instead: launch.py:890 --num_processes was set to a value of 1 --num_machines was set to a value of 1 --mixed_precision was set to a value of 'no' --dynamo_backend was set to a value of 'no'
To avoid this warning pass in values for each of the problematic parameters or run accelerate config.
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause i
ncorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP r
untime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to
continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/su
pport/.
The system cannot find the path specified.
16:51:55-883076 ERROR Not a git repository
16:51:55-908027 INFO nVidia toolkit detected
16:51:57-295309 INFO Torch 2.0.1+cu118
16:51:57-319374 INFO Torch backend: nVidia CUDA 11.8 cuDNN 8700
16:51:57-321346 INFO Torch detected GPU: NVIDIA GeForce RTX 2080 Ti VRAM 11264 Arch (7, 5) Cores 68
16:51:57-323338 INFO Verifying modules instalation status from requirements_windows_torch2.txt...
16:51:57-325333 INFO Verifying modules instalation status from requirements.txt...
16:51:59-921632 INFO headless: False
16:51:59-931603 INFO Load CSS...
Running on local URL: http://127.0.0.1:7860
I used today newest code V21.7.16.
I ran
gui.bat --listen 127.0.0.1 --server_port 7860 --inbrowser
under my conda environment. My accelerate version is 19, python version is 3.10I got bugs as following:
WARNING The following values were not passed to
accelerate launch
and had defaults used instead: launch.py:890--num_processes
was set to a value of1
--num_machines
was set to a value of1
--mixed_precision
was set to a value of'no'
--dynamo_backend
was set to a value of'no'
To avoid this warning pass in values for each of the problematic parameters or run
accelerate config
.A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause i
ncorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP r
untime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to
continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/su
pport/.
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