|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/ops/math_ops.py#L1596-L1648) | Computes a safe divide which returns 0 if `y` (denominator) is zero. #### View aliases **Compat aliases for migration** See [Migration guide](https://www.tensorflow.org/guide/migrate) for more details. [`tf.compat.v1.div_no_nan`](https://www.tensorflow.org/api_docs/python/tf/math/divide_no_nan)
tf.math.divide_no_nan( x, y, name=None ) #### For example: tf.constant(3.0) / 0.0 tf.math.divide_no_nan(3.0, 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)


| ## 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)`](https://www.tensorflow.org/api_docs/python/tf/math/divide), except that division by zero produces `0.0`, not `nan`. ||