tf.compat.v1.math.angle
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Returns the element-wise argument of a complex (or real) tensor.
tf.compat.v1.math.angle(
input, name=None
)
Given a tensor input, this operation returns a tensor of type float that
is the argument of each element in input considered as a complex number.
The elements in input are considered to be complex numbers of the form
\(a + bj\), where a is the real part and b is the imaginary part.
If input is real then b is zero by definition.
The argument returned by this function is of the form \(atan2(b, a)\).
If input is real, a tensor of all zeros is returned.
For example:
input = tf.constant([-2.25 + 4.75j, 3.25 + 5.75j], dtype=tf.complex64)
tf.math.angle(input).numpy()
# ==> array([2.0131705, 1.056345 ], dtype=float32)
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.compat.v1.math.angle\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/math_ops.py#L863-L902) |\n\nReturns the element-wise argument of a complex (or real) tensor. \n\n tf.compat.v1.math.angle(\n input, name=None\n )\n\nGiven a tensor `input`, this operation returns a tensor of type `float` that\nis the argument of each element in `input` considered as a complex number.\n\nThe elements in `input` are considered to be complex numbers of the form\n\\\\(a + bj\\\\), where *a* is the real part and *b* is the imaginary part.\nIf `input` is real then *b* is zero by definition.\n\nThe argument returned by this function is of the form \\\\(atan2(b, a)\\\\).\nIf `input` is real, a tensor of all zeros is returned.\n\n#### For example:\n\n input = tf.constant([-2.25 + 4.75j, 3.25 + 5.75j], dtype=tf.complex64)\n tf.math.angle(input).numpy()\n # ==\u003e array([2.0131705, 1.056345 ], dtype=float32)\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