tf.math.divide_no_nan

TensorFlow 1 version

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Computes a safe divide which returns 0 if y (denominator) is zero.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.div_no_nan, tf.compat.v1.math.divide_no_nan

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

For example:

tf.constant(3.0) / 0.0
<tf.Tensor: shape=(), dtype=float32, numpy=inf>
tf.math.divide_no_nan(3.0, 0.0)
<tf.Tensor: shape=(), dtype=float32, numpy=0.0>

Args
`x`	A `Tensor`. Must be one of the following types: `float32`, `float64`.
`y`	A `Tensor` whose dtype is compatible with `x`.
`name`	A name for the operation (optional).

Returns
The element-wise value of the x divided by y.

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Last updated 2021-05-14 UTC.

tf.math.divide_no_nan

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For example:

Args

Returns