tf.quantization.fake_quant_with_min_max_args_gradient | TensorFlow v2.16.1 (original) (raw)

tf.quantization.fake_quant_with_min_max_args_gradient

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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.

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Last updated 2024-04-26 UTC.