Implementing kernel
C++ engine symbols that back this Python API.Return input with a different shape.
The total number of elements must be preserved.
On the CPU a dense input is viewed, not copied: the result reads
the same buffer, so an in-place write to either reaches the other.
On metal the result is a copy.
Parameters
inputTensorSource tensor.
shapeint or sequence of int= ()Target shape. Exactly one entry may be
-1 (auto-inferred).Returns
Tensorinput under the new shape — a view on the CPU, a copy on metal.
Notes
view and reshape behave the same, and neither ever
refuses a layout: a CPU input that is not contiguous — a transpose, a
column slice — is copied, unless the new shape only adds or drops
size-1 axes.
Examples
>>> import lucid
>>> x = lucid.arange(12)
>>> lucid.view(x, (3, 4)).shape
(3, 4)