As a convenience, we should provide meta tensor implementations of the following:
__add__, __radd__, __sub__, __rsub__, __mul__, __rmul__, __div__, __rdiv__, __truediv__, __rtruediv__, __floordiv__, __rfloordiv__, __mod__, __rmod__, __lt__, __le__, __gt__, __ge__, __and__, __rand__, __or__, __ror__, __xor__, __rxor__, __getitem__, __pow__, __rpow__, __invert__, __neg__, __abs__, __matmul__, __rmatmul__.
Looks like some of these are specified for tf.Tensor in tensorflow.python.ops.math_ops.
As a convenience, we should provide meta tensor implementations of the following:
__add__,__radd__,__sub__,__rsub__,__mul__,__rmul__,__div__,__rdiv__,__truediv__,__rtruediv__,__floordiv__,__rfloordiv__,__mod__,__rmod__,__lt__,__le__,__gt__,__ge__,__and__,__rand__,__or__,__ror__,__xor__,__rxor__,__getitem__,__pow__,__rpow__,__invert__,__neg__,__abs__,__matmul__,__rmatmul__.Looks like some of these are specified for
tf.Tensorintensorflow.python.ops.math_ops.