Implementing kernel
C++ engine symbols that back this Python API.Element-wise clamping to a closed interval.
Clips each entry of input so that it lies within [min, max]. Either bound
may be None to leave that side unbounded. Alias of clamp.
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 min < x < max; at the clipped boundaries it is
treated as zero. If min > max the result is implementation-defined.
Examples
>>> import lucid
>>> x = lucid.tensor([-2.0, -0.5, 0.5, 2.0])
>>> lucid.clip(x, -1.0, 1.0)
Tensor([-1., -0.5, 0.5, 1.])