TensorFlow 1 version

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

    gradients, inputs, min, max, num_bits=8, narrow_range=False, name=None


  • gradients: A Tensor of type float32. Backpropagated gradients above the FakeQuantWithMinMaxVars operation, shape one of: [d], [b, d], [b, h, w, d].
  • inputs: A Tensor of type float32. Values passed as inputs to the FakeQuantWithMinMaxVars operation, shape same as gradients. min, max: Quantization interval, floats of shape [d].
  • min: A Tensor of type float32.
  • max: A Tensor of type float32.
  • num_bits: An optional int. Defaults to 8. The bitwidth of the quantization; between 2 and 16, inclusive.
  • narrow_range: An optional bool. Defaults to False. Whether to quantize into 2^num_bits - 1 distinct values.
  • name: A name for the operation (optional).


A tuple of Tensor objects (backprops_wrt_input, backprop_wrt_min, backprop_wrt_max).

  • backprops_wrt_input: A Tensor of type float32.
  • backprop_wrt_min: A Tensor of type float32.
  • backprop_wrt_max: A Tensor of type float32.