tfp.experimental.distributions.marginal_fns.ps.greater

Returns the truth value of (x > y) element-wise.

tfp.experimental.distributions.marginal_fns.ps.greater(
    x: Annotated[Any, TV_Greater_T], y: Annotated[Any, TV_Greater_T], name=None
) -> Annotated[Any, _atypes.Bool]

Example:

x = tf.constant([5, 4, 6])
y = tf.constant([5, 2, 5])
tf.math.greater(x, y) ==> [False, True, True]

x = tf.constant([5, 4, 6])
y = tf.constant([5])
tf.math.greater(x, y) ==> [False, False, True]

x A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
y A Tensor. Must have the same type as x.
name A name for the operation (optional).

A Tensor of type bool.