# tf.signal.irfft

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/signal/fft_ops.py#L149-L171) |

Inverse 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.signal.irfft`](https://www.tensorflow.org/api_docs/python/tf/signal/irfft), [`tf.compat.v1.spectral.irfft`](https://www.tensorflow.org/api_docs/python/tf/signal/irfft)

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    tf.signal.irfft(
        input_tensor, fft_length=None, name=None
    )

Computes the inverse 1-dimensional discrete Fourier transform of a real-valued
signal over the inner-most dimension of `input_tensor`.

The inner-most dimension of `input_tensor` is assumed to be the result of `RFFT`: 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
dimension of `input_tensor` (`fft_length = 2 * (inner - 1)`). If the FFT length used to
compute `input_tensor` is odd, it should be provided since it cannot be inferred
properly.

Along the axis `IRFFT` is computed on, if `fft_length / 2 + 1` is smaller
than the corresponding dimension of `input_tensor`, the dimension is cropped. If it is
larger, the dimension is padded with zeros.

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| ## Args ||
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| `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 \[1\]. The FFT length. |
| `name` | A name for the operation (optional). |

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

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