human
Write me a Python code to compute = False given the following:
I am working on the file "FADL1/lesson1-rxt50-CA.ipynb".
The first task is:
Just looking at the fastai library source code while the above works:
class ConvLearner(Learner):
    def __init__(self, data, models, precompute=False, **kwargs):
        self.precompute = False
        super().__init__(data, models, **kwargs)
        self.crit = F.binary_cross_entropy if data.is_multi else F.nll_loss
        if data.is_reg: self.crit = F.l1_loss
        elif self.metrics is None:
            self.metrics = [accuracy_multi] if self.data.is_multi else [accuracy]
        if precompute: self.save_fc1()
        self.freeze()
        self.precompute = precompute  
further below:
```
    def save_fc1(self):
        self.get_activations()
        act, val_act, test_act = self.activations
        m=self.models.top_model
        if len(self.activations[0])==0:
            predict_to_bcolz(m, self.data.fix_dl, act)
        if len(self.activations[1])==0:
            predict_to_bcolz(m, self.data.val_dl, val_act)
        if len(self.activations[2])==0:
            if self.data.test_dl: predict_to_bcolz(m, self.data.test_dl, test_act)
    self.fc_data = ImageClassifierData.from_arrays(self.data.path,
            (act, self.data.trn_y), (val_act, self.data.val_y), self.data.bs, classes=self.data.classes,
            test = test_act if self.data.test_dl else None, num_workers=8)

``
Wait so does this mean whenprecompute=Trueis specified, .. oh of course.. fuck, that's awesome: fastai automatically computes all the activations for the train, validation, AND test data set (if provided) whenprecompute` is set to True. I fucking love this library..
Can you write Python code for it?
assistant
#Here is Python code to compute = False
.

len(data.aug_dl.dataset), bs * 250

len(data.fix_dl.dataset), bs * 2875