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nghorbani / soma

Solving Optical MoCap Automatically
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TypeError: __init__() got an unexpected keyword argument 'distributed_backend' #7

Closed karan00713 closed 2 years ago

karan00713 commented 2 years ago

When i tried to run soma on soma dataset using the given ipynb file in jupyter notebook, it gave me error

train_multiple_soma( soma_data_settings=soma_data_settings, soma_train_cfg={ 'soma.expr_id': soma_expr_id, # the experiment ID

    'dirs.support_base_dir': support_base_dir,
    'dirs.work_base_dir': soma_work_base_dir,
    'data_parms.mocap_dataset.amass_marker_noise_model.enable': False, # we cannot create amass marker noise model

    'moshpp_cfg_override.moshpp.verbosity': 1,
    'moshpp_cfg_override.dirs.support_base_dir':support_base_dir,

    'trainer.fast_dev_run': False, # if true then only one iteration of training and validation is done.

    'data_parms.mocap_dataset.marker_layout_fnames': [soma_marker_layout_fname],
    'train_parms.batch_size': 256,
    'trainer.num_gpus': num_gpus,
    'train_parms.num_workers': num_cpus,
},

)

TypeError: init() got an unexpected keyword argument 'distributed_backend'

My specification : Ubuntu 20.04 python 3.7 pytorch version 1.5.10

Neil0511 commented 2 years ago

I also got the same error. It seems 'distributed_backend' has been depreicated in newer pytorch versions. This worked for me so maybe you can try the same. Replace 'distributed_backend' with 'strategy' in conf file i.e, "soma_train_conf.yaml". Also, change the same in trainer object in soma_trainer.py