as_numpy_dtype is a property (so this effectively returns 0)

PiperOrigin-RevId: 285859645
Change-Id: Ifd3656ef665ae19591414ab6051dd19a68b99bf4
This commit is contained in:
Alexandre Passos 2019-12-16 15:07:11 -08:00 committed by TensorFlower Gardener
parent 2dc7a885a0
commit 486ac20961

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@ -255,10 +255,10 @@ class BoundedTensorSpec(TensorSpec):
raise ValueError("maximum is not compatible with shape. "
"Message: {!r}.".format(exception))
self._minimum = np.array(minimum, dtype=self.dtype.as_numpy_dtype())
self._minimum = np.array(minimum, dtype=self.dtype.as_numpy_dtype)
self._minimum.setflags(write=False)
self._maximum = np.array(maximum, dtype=self.dtype.as_numpy_dtype())
self._maximum = np.array(maximum, dtype=self.dtype.as_numpy_dtype)
self._maximum.setflags(write=False)
@classmethod