# tf.quantization.fake_quant_with_min_max_vars_gradient

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Compute gradients for a FakeQuantWithMinMaxVars 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_vars_gradient`](https://www.tensorflow.org/api_docs/python/tf/quantization/fake_quant_with_min_max_vars_gradient), [`tf.compat.v1.quantization.fake_quant_with_min_max_vars_gradient`](https://www.tensorflow.org/api_docs/python/tf/quantization/fake_quant_with_min_max_vars_gradient)

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

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| ## Args ||
|---|---|
| `gradients` | A `Tensor` of type `float32`. Backpropagated gradients above the FakeQuantWithMinMaxVars operation. |
| `inputs` | A `Tensor` of type `float32`. Values passed as inputs to the FakeQuantWithMinMaxVars operation. min, max: Quantization interval, scalar floats. |
| `min` | A `Tensor` of type `float32`. |
| `max` | A `Tensor` of type `float32`. |
| `num_bits` | An optional `int`. Defaults to `8`. The bitwidth of the quantization; between 2 and 8, inclusive. |
| `narrow_range` | An optional `bool`. Defaults to `False`. Whether to quantize into 2\^num_bits - 1 distinct values. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (backprops_wrt_input, backprop_wrt_min, backprop_wrt_max). ||
| `backprops_wrt_input` | A `Tensor` of type `float32`. |
| `backprop_wrt_min` | A `Tensor` of type `float32`. |
| `backprop_wrt_max` | A `Tensor` of type `float32`. |

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