# Synthetic Learner
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source
### synth_dbunch
``` python
def synth_dbunch(
a:int=2, b:int=3, bs:int=16, n_train:int=10, n_valid:int=2, cuda:bool=False
):
```
*Call self as a function.*
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source
### RegModel
``` python
def RegModel(
):
```
*Same as `nn.Module`, but no need for subclasses to call
`super().__init__`*
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source
### synth_learner
``` python
def synth_learner(
n_trn:int=10, n_val:int=2, cuda:bool=False, lr:float=0.001, # Default learning rate
data:NoneType=None, model:NoneType=None, 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, # [`Callback`](https://docs.fast.ai/callback.core.html#callback)s to add to [`Learner`](https://docs.fast.ai/learner.html#learner)
metrics:Union=None, # [`Metric`](https://docs.fast.ai/learner.html#metric)s 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 [`Callback`](https://docs.fast.ai/callback.core.html#callback)s
):
```
*Call self as a function.*
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source
### VerboseCallback
``` python
def VerboseCallback(
after_create:NoneType=None, before_fit:NoneType=None, before_epoch:NoneType=None, before_train:NoneType=None,
before_batch:NoneType=None, after_pred:NoneType=None, after_loss:NoneType=None, before_backward:NoneType=None,
after_cancel_backward:NoneType=None, after_backward:NoneType=None, before_step:NoneType=None,
after_cancel_step:NoneType=None, after_step:NoneType=None, after_cancel_batch:NoneType=None,
after_batch:NoneType=None, after_cancel_train:NoneType=None, after_train:NoneType=None,
before_validate:NoneType=None, after_cancel_validate:NoneType=None, after_validate:NoneType=None,
after_cancel_epoch:NoneType=None, after_epoch:NoneType=None, after_cancel_fit:NoneType=None,
after_fit:NoneType=None
):
```
*Callback that prints the name of each event called*
## Install Utils
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source
### get_env
``` python
def 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
``` python
def try_import(
module
):
```
*Try to import [`module`](https://docs.fast.ai/layers.html#module).
Returns module’s object on success, None on failure*
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### nvidia_smi
``` python
def nvidia_smi(
cmd:str='nvidia-smi'
):
```
*Call self as a function.*
``` python
res = nvidia_smi()
```
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### nvidia_mem
``` python
def nvidia_mem(
):
```
*Call self as a function.*
``` python
nvidia_mem()
```
['48600', '7982']
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source
### show_install
``` python
def show_install(
show_nvidia_smi:bool=False
):
```
*Print user’s setup information*
## - Export