tf.math.divide_no_nan | TensorFlow v2.16.1 (original) (raw)
tf.math.divide_no_nan
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Computes a safe divide which returns 0 if y (denominator) is zero.
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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. |
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Last updated 2024-04-26 UTC.