How to use the eagerpy.tensor.base.istensor function in eagerpy
To help you get started, we’ve selected a few eagerpy examples, based on popular ways it is used in public projects.
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jonasrauber / eagerpy / eagerpy / tensor / pytorch.py View on Github 
def minimum(self, other):
if istensor(other):
other = other.tensor
else:
other = self.backend.ones_like(self.tensor) * other
return self.backend.min(self.tensor, other)def maximum(self, other):
if istensor(other):
other = other.tensor
else:
other = self.backend.ones_like(self.tensor) * other
return self.backend.max(self.tensor, other)eagerpy
EagerPy is a thin wrapper around PyTorch, TensorFlow Eager, JAX and NumPy that unifies their interface and thus allows writing code that works natively across all of them.
