Synthetic Learner

For quick testing of the training loop and Callbacks

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synth_dbunch

 synth_dbunch (a=2, b=3, bs=16, n_train=10, n_valid=2, cuda=False)

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RegModel

 RegModel ()

Same as nn.Module, but no need for subclasses to call super().__init__

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synth_learner

 synth_learner (n_trn=10, n_val=2, cuda=False, lr=0.001, data=None,
                model=None, loss_func:Callable|None=None,
                opt_func:Optimizer|OptimWrapper=<function Adam>,
                splitter:Callable=<function trainable_params>,
                cbs:Callback|MutableSequence|None=None,
                metrics:Callable|MutableSequence|None=None,
                path:str|Path|None=None, model_dir:str|Path='models',
                wd:float|int|None=None, wd_bn_bias:bool=False,
                train_bn:bool=True, moms:tuple=(0.95, 0.85, 0.95),
                default_cbs:bool=True)
Type Default Details
n_trn int 10
n_val int 2
cuda bool False
lr float | slice 0.001 Default learning rate
data NoneType None
model Callable PyTorch model for training or inference
loss_func Optional None Loss function. Defaults to dls loss
opt_func fastai.optimizer.Optimizer | fastai.optimizer.OptimWrapper Adam Optimization function for training
splitter Callable trainable_params Split model into parameter groups. Defaults to one parameter group
cbs fastai.callback.core.Callback | collections.abc.MutableSequence | None None Callbacks to add to Learner
metrics Union None Metrics to calculate on validation set
path str | pathlib.Path | None None Parent directory to save, load, and export models. Defaults to dls path
model_dir str | pathlib.Path models Subdirectory to save and load models
wd float | int | None None Default weight decay
wd_bn_bias bool False Apply weight decay to normalization and bias parameters
train_bn bool True Train frozen normalization layers
moms tuple (0.95, 0.85, 0.95) Default momentum for schedulers
default_cbs bool True Include default Callbacks

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VerboseCallback

 VerboseCallback (after_create=None, before_fit=None, before_epoch=None,
                  before_train=None, before_batch=None, after_pred=None,
                  after_loss=None, before_backward=None,
                  after_cancel_backward=None, after_backward=None,
                  before_step=None, after_cancel_step=None,
                  after_step=None, after_cancel_batch=None,
                  after_batch=None, after_cancel_train=None,
                  after_train=None, before_validate=None,
                  after_cancel_validate=None, after_validate=None,
                  after_cancel_epoch=None, after_epoch=None,
                  after_cancel_fit=None, after_fit=None)

Callback that prints the name of each event called

Install Utils

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get_env

 get_env (name)

Return env var value if it’s defined and not an empty string, or return Unknown

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try_import

 try_import (module)

Try to import module. Returns module’s object on success, None on failure

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nvidia_smi

 nvidia_smi (cmd='nvidia-smi')
res = nvidia_smi()

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nvidia_mem

 nvidia_mem ()
nvidia_mem()
['48600', '7982']

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show_install

 show_install (show_nvidia_smi:bool=False)

Print user’s setup information

- Export