# tf.raw_ops.FakeQuantWithMinMaxArgsGradient

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Compute gradients for a FakeQuantWithMinMaxArgs operation.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.FakeQuantWithMinMaxArgsGradient(
        gradients, inputs, min=-6, max=6, num_bits=8, narrow_range=False, name=None
    )

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| ## Args ||
|---|---|
| `gradients` | A `Tensor` of type `float32`. Backpropagated gradients above the FakeQuantWithMinMaxArgs operation. |
| `inputs` | A `Tensor` of type `float32`. Values passed as inputs to the FakeQuantWithMinMaxArgs operation. |
| `min` | An optional `float`. Defaults to `-6`. |
| `max` | An optional `float`. Defaults to `6`. |
| `num_bits` | An optional `int`. Defaults to `8`. |
| `narrow_range` | An optional `bool`. Defaults to `False`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `float32`. ||

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