tf.quantization.fake_quant_with_min_max_args_gradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

Main aliases

`tf.fake_quant_with_min_max_args_gradient`

Compat aliases for migration

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

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`.

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Last updated 2020-10-01 UTC.

Args