tf.math.logical

TensorFlow 1 version

Returns the max of x and y (i.e. x > y ? x : y) element-wise.

View aliases

Main aliases

tf.maximum

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.maximum, tf.compat.v1.maximum

tf.math.maximum(
    x, y, name=None
)

Used in the notebooks

Used in the tutorials
Transformer model for language understanding Graph regularization for sentiment classification using synthesized graphs Substantial Undocumented Infection Facilitates the Rapid Dissemination of Novel Coronavirus (SARS-CoV2)

Example:

x = tf.constant([0., 0., 0., 0.])
y = tf.constant([-2., 0., 2., 5.])
tf.math.maximum(x, y)
<tf.Tensor: shape=(4,), dtype=float32, numpy=array([0., 0., 2., 5.], dtype=float32)>

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

Returns
A `Tensor`. Has the same type as `x`.

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tf.math / logical_xor

View aliases

Used in the notebooks

Example:

Args

Returns