Element-wise clamping to a closed interval.
Constrains each entry of input to lie within [min, max]. Either bound
may be None to leave that side unbounded.
Parameters
inputTensorInput tensor.
minscalar or None= ...Lower bound.
None disables the lower clip.maxscalar or None= ...Upper bound.
None disables the upper clip.Returns
TensorTensor with the same shape and dtype as input, with values constrained
to [min, max].
Notes
Mathematical definition:
Gradient flows through where the input lies strictly inside the interval and is
zero at the clipped boundaries. Equivalent to clip.
Examples
>>> import lucid
>>> x = lucid.tensor([-3.0, 0.0, 3.0])
>>> lucid.clamp(x, -1.0, 1.0)
Tensor([-1., 0., 1.])