Add metric value for the current expriments to the spreadsheet. Parameters ---------- metric_name: ``str``, required

Convert other memory size to bytes Parameters ---------- size: ``str``, required. The numeric part of th

Restore checkpoint. Parameters ---------- folder_path: ``str``, required. Path to the checkpoint file

save the config file.

Cached a file to the cache folder. Parameters ---------- url: ``str``, required. The url or the path.

Get the current GPU memory usage. Based on https://discuss.pytorch.org/t/access-gpu-memory-usage-in-pytorch/3192/4 Parameter

Restore the config dict. Parameters ---------- name: ``str``, optional, (default = "config.json"). Name

Add description for the experiment to the spreadsheet. Parameters ---------- description: ``str``, required.

Add descriptions for the current expriments to the spreadsheet. Parameters ---------- description: ``str``, required

Add loss to the ``loss_tracking`` section in the tensorboard. Parameters ---------- kv_dict: ``dict``, required.

Add parameter histogram in the tensorboard. Parameters ---------- model: ``torch.nn.Module``, required.

Add parameter stats to the ``parameter_*`` sections in the tensorboard. Parameters ---------- model: ``torch.nn.Modu

Add parameter update stats to the ``parameter_gradient_update`` sections in the tensorboard. Parameters ---------- m

Automatically choose the gpu (would return the gpu index with minimal used gpu memory by default). Parameters __________

Automatically choose the gpu (would return the gpu index with minimal used gpu memory by default). Parameters __________

Close the tensorboard writer and the logger.

Check whether a folder is an empty folder (not-exist). Parameters __________ path: ``str``, required. Pa

Convert other memory size to bytes Parameters ---------- size: ``str``, required. The numeric part of th

Return the tensorboard writer.

Get the current GPU memory usage. Based on https://discuss.pytorch.org/t/access-gpu-memory-usage-in-pytorch/3192/4 Parameter

Restore the best checkpoint. Parameters ---------- folder_path: ``str``, required. Path to the folder co

Restore the best checkpoint. Parameters ---------- folder_path: ``str``, optional, (default = None). Pat

Restore the config dict. Parameters ---------- path: ``str``, required. The path toward the folder.

Restore the latest checkpoint. Parameters ---------- folder_path: ``str``, required. Path to the folder

Restore the latest checkpoint. Parameters ---------- folder_path: ``str``, optional, (default = None). P

Save checkpoint under the path. Parameters ---------- model: ``torch.nn.Module``, required. The model to

Save config dict to the ``config.json`` under the path. Parameters ---------- config: ``dict``, required.