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While following tutorial "Voice_Activity_Detection.ipynb", I confronted errors in
"exp_dir = exp_manager(trainer, config.get("exp_manager",None))"
I've changed nothing on the tutorial, and I am getting errrors.
WHen I first run the cell , I get
"---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[164], line 1
----> 1 exp_dir = exp_manager(trainer, config.get("exp_manager",None))
File ~/.conda/envs/nemo/lib/python3.10/site-packages/nemo/utils/exp_manager.py:786, in get_git_hash() 776 """ 777 Helper function that tries to get the commit hash if running inside a git folder 778
(...) 781 str: git subprocess output or error message 782 """ 783 try: 784 return ( 785 True,
--> 786 subprocess.check_output(['git', 'rev-parse', 'HEAD'], stderr=subprocess.STDOUT).decode(), 787 ) 788 except subprocess.CalledProcessError as err:
... 1862 err_msg = os.strerror(errno_num)
-> 1863 raise child_exception_type(errno_num, err_msg, err_filename) 1864 raise child_exception_type(err_msg)
FileNotFoundError: [Errno 2] No such file or directory: 'git'"
and when I rerun the cell, I get
'LoggerMisconfigurationError: The pytorch lightning trainer that was passed to exp_manager contained a logger, and either create_tensorboard_logger: True or create_wandb_logger: False or create_mlflow_logger: Falseor create_dllogger_logger: False was set to True. These can only be used if trainer does not already have a logger. You can disable lighning's trainer from creating a logger by passing logger=False to its constructor'
I am using conda environment, which is recommended in README(python 3.10.12, cuda 11.8 etc)
The text was updated successfully, but these errors were encountered:
While following tutorial "Voice_Activity_Detection.ipynb", I confronted errors in
"exp_dir = exp_manager(trainer, config.get("exp_manager",None))"
I've changed nothing on the tutorial, and I am getting errrors.
WHen I first run the cell , I get
"---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[164], line 1
----> 1 exp_dir = exp_manager(trainer, config.get("exp_manager",None))
File ~/.conda/envs/nemo/lib/python3.10/site-packages/nemo/utils/exp_manager.py:510, in exp_manager(trainer, cfg)
507 _file.write(" ".join(sys.argv))
509 # Try to get git hash
--> 510 git_repo, git_hash = get_git_hash()
511 if git_repo:
512 with open(log_dir / 'git-info.log', 'w', encoding='utf-8') as _file:
File ~/.conda/envs/nemo/lib/python3.10/site-packages/nemo/utils/exp_manager.py:786, in get_git_hash()
776 """
777 Helper function that tries to get the commit hash if running inside a git folder
778
(...)
781 str: git subprocess output or error message
782 """
783 try:
784 return (
785 True,
--> 786 subprocess.check_output(['git', 'rev-parse', 'HEAD'], stderr=subprocess.STDOUT).decode(),
787 )
788 except subprocess.CalledProcessError as err:
...
1862 err_msg = os.strerror(errno_num)
-> 1863 raise child_exception_type(errno_num, err_msg, err_filename)
1864 raise child_exception_type(err_msg)
FileNotFoundError: [Errno 2] No such file or directory: 'git'"
and when I rerun the cell, I get
'LoggerMisconfigurationError: The pytorch lightning trainer that was passed to exp_manager contained a logger, and either create_tensorboard_logger: True or create_wandb_logger: False or create_mlflow_logger: Falseor create_dllogger_logger: False was set to True. These can only be used if trainer does not already have a logger. You can disable lighning's trainer from creating a logger by passing logger=False to its constructor'
I am using conda environment, which is recommended in README(python 3.10.12, cuda 11.8 etc)
The text was updated successfully, but these errors were encountered: