modelzoo.common.pytorch.run_cstorch_flow#

Generic run scripts build using the cstorch API

Functions

`compute_grad_norm`	Compute the model wise and per layer norm of the gradients
`compute_params_norm`	Compute the model wise norm of the parameters
`fix_last_epoch`	Generates a function that can be called repeatedly to fix the last epochs across all LR schedulers
`get_cluster_config`	Sets up CS cluster config for the run.
`get_latest_checkpoint`	Get the path to the checkpoint with the highest global step
`get_model_checkpoint`	Get the path to the model checkpoint, if any.
`log_input_summary`	Log the input tensors to tensorboard
`optimizer_step_with_summaries`	Customized equivalent to cstorch.amp.optimizer_step additionally featuring grad norm summaries
`run_cstorch_eval`	Runs the evaluatiion workflow built using the cstorch API
`run_cstorch_flow`	Set up the cstorch run and call the appropriate helper based on the mode
`run_cstorch_train`	Runs the training workflow built using the cstorch API

Classes

Dataclass for parsing grad scaler params from optimizer params.

modelzoo.common.pytorch.run_cstorch_eval_harness.CSEvalHarnessAdapter

modelzoo.common.pytorch.run_cstorch_flow.compute_grad_norm