def transpose(self, out=None):
"""
Return a transposed view of the data. Alias of .T property
"""
if out:
return OpTreeNode.build("assign", out, self.T)
return self.T
def _assign(self, value):
"""
Assign an input value to the CPU tensor. The NervanaCPU does clipping
for int and uint types, when overflow happens
Arguments:
value (GPUTennsor, OpTreNode, numeric): the value to be assigned.
"""
if isinstance(value, (CPUTensor, OpTreeNode)):
OpTreeNode.build("assign", self, value)
elif isinstance(value, (int, float, np.ndarray)):
self.set(value)
else:
raise TypeError("Invalid type for assignment: %s" % type(value))
return self