# tf.raw_ops.IRFFT3D

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Inverse 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.IRFFT3D`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/IRFFT3D)

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    tf.raw_ops.IRFFT3D(
        input,
        fft_length,
        Treal=https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes#float32,
        name=None
    )

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

The inner-most 3 dimensions of `input` are assumed to be the result of `RFFT3D`:
The inner-most dimension contains the `fft_length / 2 + 1` unique components of
the DFT of a real-valued signal. If `fft_length` is not provided, it is computed
from the size of the inner-most 3 dimensions of `input`. If the FFT length used
to compute `input` is odd, it should be provided since it cannot be inferred
properly.

Along each axis `IRFFT3D` is computed on, if `fft_length` (or
`fft_length / 2 + 1` for the inner-most dimension) 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: `complex64`, `complex128`. A complex tensor. |
| `fft_length` | A `Tensor` of type `int32`. An int32 tensor of shape \[3\]. The FFT length for each dimension. |
| `Treal` | An optional [`tf.DType`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes/DType) from: `tf.float32, tf.float64`. Defaults to [`tf.float32`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf#float32). |
| `name` | A name for the operation (optional). |

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

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