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tf.quantization.fake_quant_with_min_max_args_gradient

TensorFlow 1 version

Compute gradients for a FakeQuantWithMinMaxArgs operation.

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.