# tf.raw_ops.RFFT3D

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3D real-valued fast Fourier transform.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.RFFT3D`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/RFFT3D)

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    tf.raw_ops.RFFT3D(
        input,
        fft_length,
        Tcomplex=https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes#complex64,
        name=None
    )

Computes the 3-dimensional discrete Fourier transform of a real-valued signal
over the inner-most 3 dimensions of `input`.

Since the DFT of a real signal is Hermitian-symmetric, `RFFT3D` only returns the
`fft_length / 2 + 1` unique components of the FFT for the inner-most dimension
of `output`: the zero-frequency term, followed by the `fft_length / 2`
positive-frequency terms.

Along each axis `RFFT3D` is computed on, if `fft_length` is smaller than the
corresponding dimension of `input`, the dimension is cropped. If it is larger,
the dimension is padded with zeros.

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `float32`, `float64`. A float32 tensor. |
| `fft_length` | A `Tensor` of type `int32`. An int32 tensor of shape \[3\]. The FFT length for each dimension. |
| `Tcomplex` | An optional [`tf.DType`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes/DType) from: `tf.complex64, tf.complex128`. Defaults to [`tf.complex64`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf#complex64). |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `Tcomplex`. ||

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