tf.math.exp
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Computes exponential of x element-wise. \(y = e^x\).
tf.math.exp(
x, name=None
)
This function computes the exponential of every element in the input tensor.
i.e. exp(x) or e^(x), where x is the input tensor.
e denotes Euler's number and is approximately equal to 2.718281.
Output is positive for any real input.
x = tf.constant(2.0)
tf.math.exp(x) ==> 7.389056
x = tf.constant([2.0, 8.0])
tf.math.exp(x) ==> array([7.389056, 2980.958], dtype=float32)
For complex numbers, the exponential value is calculated as follows:
e^(x+iy) = e^x * e^iy = e^x * (cos y + i sin y)
Let's consider complex number 1+1j as an example.
e^1 * (cos 1 + i sin 1) = 2.7182818284590 * (0.54030230586+0.8414709848j)
x = tf.constant(1 + 1j)
tf.math.exp(x) ==> 1.4686939399158851+2.2873552871788423j
Args |
|---|
x
|
A Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, complex128.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as x.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.math.exp\n\n|------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/math/exp) |\n\nComputes exponential of x element-wise. \\\\(y = e\\^x\\\\).\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.exp`](/api_docs/python/tf/math/exp)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.exp`](/api_docs/python/tf/math/exp), [`tf.compat.v1.math.exp`](/api_docs/python/tf/math/exp), \\`tf.compat.v2.exp\\`, \\`tf.compat.v2.math.exp\\`\n\n\u003cbr /\u003e\n\n tf.math.exp(\n x, name=None\n )\n\nThis function computes the exponential of every element in the input tensor.\ni.e. `exp(x)` or `e^(x)`, where `x` is the input tensor.\n`e` denotes Euler's number and is approximately equal to 2.718281.\nOutput is positive for any real input.\n\u003e\n\u003e x = tf.constant(2.0)\n\u003e tf.math.exp(x) ==\u003e 7.389056\n\u003e\n\u003e x = tf.constant([2.0, 8.0])\n\u003e tf.math.exp(x) ==\u003e array([7.389056, 2980.958], dtype=float32)\n\nFor complex numbers, the exponential value is calculated as follows:\n\u003e\n\u003e e^(x+iy) = e^x * e^iy = e^x * (cos y + i sin y)\n\nLet's consider complex number 1+1j as an example.\ne\\^1 \\* (cos 1 + i sin 1) = 2.7182818284590 \\* (0.54030230586+0.8414709848j)\n\u003e\n\u003e x = tf.constant(1 + 1j)\n\u003e tf.math.exp(x) ==\u003e 1.4686939399158851+2.2873552871788423j\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|----------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `complex64`, `complex128`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `x`. ||\n\n\u003cbr /\u003e"]]
TensorFlow 2 version