tf.quantization.fake_quant_with_min_max_args_gradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

View aliases

Main aliases

`tf.fake_quant_with_min_max_args_gradient`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.fake_quant_with_min_max_args_gradient, tf.compat.v1.quantization.fake_quant_with_min_max_args_gradient, `tf.compat.v2.quantization.fake_quant_with_min_max_args_gradient`

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.