# tf.quantization.fake_quant_with_min_max_args_gradient

<br />

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.fake_quant_with_min_max_args_gradient`](https://www.tensorflow.org/api_docs/python/tf/quantization/fake_quant_with_min_max_args_gradient), [`tf.compat.v1.quantization.fake_quant_with_min_max_args_gradient`](https://www.tensorflow.org/api_docs/python/tf/quantization/fake_quant_with_min_max_args_gradient)

<br />

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

<br />

<br />

<br />

| ## 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). |

<br />

<br />

<br />

<br />

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

<br />