# tf.raw_ops.QuantizedConv2DPerChannel

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Computes QuantizedConv2D per channel.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.raw_ops.QuantizedConv2DPerChannel`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedConv2DPerChannel)

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    tf.raw_ops.QuantizedConv2DPerChannel(
        input,
        filter,
        min_input,
        max_input,
        min_filter,
        max_filter,
        strides,
        padding,
        out_type=https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/dtypes#qint32,
        dilations=[1, 1, 1, 1],
        name=None
    )

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. The original input tensor. |
| `filter` | A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. The original filter tensor. |
| `min_input` | A `Tensor` of type `float32`. The minimum value of the input tensor |
| `max_input` | A `Tensor` of type `float32`. The maximum value of the input tensor. |
| `min_filter` | A `Tensor` of type `float32`. The minimum value of the filter tensor. |
| `max_filter` | A `Tensor` of type `float32`. The maximum value of the filter tensor. |
| `strides` | A list of `ints`. list of stride values. |
| `padding` | A `string` from: `"SAME", "VALID"`. |
| `out_type` | An optional [`tf.DType`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/dtypes/DType) from: `tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16`. Defaults to [`tf.qint32`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf#qint32). The quantized type of output tensor that needs to be converted. |
| `dilations` | An optional list of `ints`. Defaults to `[1, 1, 1, 1]`. list of dilation values. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (output, min_output, max_output). ||
| `output` | A `Tensor` of type `out_type`. |
| `min_output` | A `Tensor` of type `float32`. |
| `max_output` | A `Tensor` of type `float32`. |

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