tf.quantization.fake_quant_with_min_max_args_gradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

View aliases

Compat aliases for migration

tf.compat.v1.fake_quant_with_min_max_args_gradient, tf.compat.v1.quantization.fake_quant_with_min_max_args_gradient

tf.quantization.fake_quant_with_min_max_args_gradient(
    gradients: Annotated[Any, _atypes.Float32],
    inputs: Annotated[Any, _atypes.Float32],
    min: float = -6,
    max: float = 6,
    num_bits: int = 8,
    narrow_range: bool = False,
    name=None
) -> Annotated[Any, _atypes.Float32]

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).

Returns
A `Tensor` of type `float32`.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/quantization/fake_quant_with_min_max_args_gradient