tf.quantization.fake_quant_with_min_max_args_gradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

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]

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).

A Tensor of type float32.