foolbox.tensorboard

Internal module for attacks that support logging to TensorBoard

class foolbox.tensorboard.TensorBoard(logdir)

A custom TensorBoard class that accepts EagerPy tensors and that can be disabled by turned into a noop by passing logdir=False.

This makes it possible to add tensorboard logging without any if statements and without any computational overhead if it’s disabled.

Parameters

logdir (Union[typing_extensions.Literal[False], None, str]) –

close()

Return type

None

conditional_mean(tag, x, cond, step)

Parameters

• tag (str) –

• x (eagerpy.Tensor) –

• cond (eagerpy.Tensor) –

• step (int) –

Return type

None

histogram(tag, x, step, *, first=True)

Parameters

• tag (str) –

• x (eagerpy.Tensor) –

• step (int) –

• first (bool) –

Return type

None

mean(tag, x, step)

Parameters

• tag (str) –

• x (eagerpy.Tensor) –

• step (int) –

Return type

None

probability(tag, x, step)

Parameters

• tag (str) –

• x (eagerpy.Tensor) –

• step (int) –

Return type

None

probability_ratio(tag, x, y, step)

Parameters

• tag (str) –

• x (eagerpy.Tensor) –

• y (eagerpy.Tensor) –

• step (int) –

Return type

None

scalar(tag, x, step)

Parameters

• tag (str) –

• x (Union[int, float]) –

• step (int) –

Return type

None

foolbox.tensorboard.maybenoop(f)

Parameters

f (F) –

Return type

F