tf.compat.v1.math.divide_no_nan

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

tf.compat.v1.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>

Note that 0 is returned if y is 0 even if x is nonfinite:

tf.math.divide_no_nan(np.nan, 0.0)
<tf.Tensor: shape=(), dtype=float32, numpy=0.0>

Args
`x`	A `Tensor` of a floating or integer dtype.
`y`	A `Tensor` with the same dtype as `x` and a compatible shape.
`name`	A name for the operation (optional).

Returns
The element-wise quotient as in `tf.math.divide(x, y)`, except that division by zero produces `0.0`, not `nan`.

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Last updated 2024-04-26 UTC.

tf.compat.v1.math.divide_no_nan

For example:

Args

Returns