# tf.raw_ops.QuantizedConcat

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Concatenates quantized tensors along one dimension.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.QuantizedConcat(
        concat_dim, values, input_mins, input_maxes, name=None
    )

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| ## Args ||
|---|---|
| `concat_dim` | A `Tensor` of type `int32`. 0-D. The dimension along which to concatenate. Must be in the range \[0, rank(values)). |
| `values` | A list of at least 2 `Tensor` objects with the same type. The `N` Tensors to concatenate. Their ranks and types must match, and their sizes must match in all dimensions except `concat_dim`. |
| `input_mins` | A list with the same length as `values` of `Tensor` objects with type `float32`. The minimum scalar values for each of the input tensors. |
| `input_maxes` | A list with the same length as `values` of `Tensor` objects with type `float32`. The maximum scalar values for each of the input tensors. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (output, output_min, output_max). ||
| `output` | A `Tensor`. Has the same type as `values`. |
| `output_min` | A `Tensor` of type `float32`. |
| `output_max` | A `Tensor` of type `float32`. |

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