tf.fake_quant_with_min_max_args_gradient

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

Defined in tensorflow/python/ops/gen_array_ops.py.

See the guide: Tensor Transformations > Fake quantization

Compute gradients for a FakeQuantWithMinMaxArgs operation.

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.