tf.keras.ops.rsqrt
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Computes reciprocal of square root of x element-wise.
tf.keras.ops.rsqrt(
x
)
Returns |
|---|
A tensor with the same dtype as x.
|
Example:
x = keras.ops.convert_to_tensor([1.0, 10.0, 100.0])
keras.ops.rsqrt(x)
array([1.0, 0.31622776, 0.1], dtype=float32)
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Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.ops.rsqrt\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#L847-L866) |\n\nComputes reciprocal of square root of x element-wise. \n\n tf.keras.ops.rsqrt(\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 = keras.ops.convert_to_tensor([1.0, 10.0, 100.0])\n keras.ops.rsqrt(x)\n array([1.0, 0.31622776, 0.1], dtype=float32)"]]
View source on GitHub
