tf.math.imag
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Returns the imaginary part of a complex (or real) tensor.
tf.math.imag(
input, name=None
)
Used in the notebooks
Given a tensor input, this operation returns a tensor of type float that
is the imaginary part of each element in input considered as a complex
number. If input is real, a tensor of all zeros is returned.
For example:
x = tf.constant([-2.25 + 4.75j, 3.25 + 5.75j])
tf.math.imag(x) # [4.75, 5.75]
Args |
|---|
input
|
A Tensor. Must be one of the following types: float, double,
complex64, complex128.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type float32 or float64.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.math.imag\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/math_ops.py#L829-L860) |\n\nReturns the imaginary part of a complex (or real) tensor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.imag`](https://www.tensorflow.org/api_docs/python/tf/math/imag)\n\n\u003cbr /\u003e\n\n tf.math.imag(\n input, name=None\n )\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|-----------------------------------------------------------------------------------------------|\n| - [Scalable model compression](https://www.tensorflow.org/tutorials/optimization/compression) |\n\nGiven a tensor `input`, this operation returns a tensor of type `float` that\nis the imaginary part of each element in `input` considered as a complex\nnumber. If `input` is real, a tensor of all zeros is returned.\n\n#### For example:\n\n x = tf.constant([-2.25 + 4.75j, 3.25 + 5.75j])\n tf.math.imag(x) # [4.75, 5.75]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|-----------------------------------------------------------------------------------------------|\n| `input` | A `Tensor`. Must be one of the following types: `float`, `double`, `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` of type `float32` or `float64`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub