tf.keras.ops.erf
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Computes the error function of x, element-wise.
tf.keras.ops.erf(
x
)
Returns |
|---|
A tensor with the same dtype as x.
|
Example:
x = np.array([-3.0, -2.0, -1.0, 0.0, 1.0])
keras.ops.erf(x)
array([-0.99998 , -0.99532, -0.842701, 0., 0.842701], dtype=float32)
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Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.ops.erf\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/ops/math.py#L877-L896) |\n\nComputes the error function of `x`, element-wise. \n\n tf.keras.ops.erf(\n x\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----|---------------|\n| `x` | Input tensor. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor with the same dtype as `x`. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n x = np.array([-3.0, -2.0, -1.0, 0.0, 1.0])\n keras.ops.erf(x)\n array([-0.99998 , -0.99532, -0.842701, 0., 0.842701], dtype=float32)"]]
View source on GitHub
