tf.math.divide_no_nan

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

View aliases

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>

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.