tensorflow::ops::QuantizedBiasAdd

Adds Tensor 'bias' to Tensor 'input' for Quantized types.

Summary

Broadcasts the values of bias on dimensions 0..N-2 of 'input'.

Arguments:

• scope: A Scope object
• bias: A 1D bias Tensor with size matching the last dimension of 'input'.
• min_input: The float value that the lowest quantized input value represents.
• max_input: The float value that the highest quantized input value represents.
• min_bias: The float value that the lowest quantized bias value represents.
• max_bias: The float value that the highest quantized bias value represents.

Returns:

• Output output
• Output min_out: The float value that the lowest quantized output value represents.
• Output max_out: The float value that the highest quantized output value represents.

Public attributes

::tensorflow::Output max_out

::tensorflow::Output min_out

Operation operation

::tensorflow::Output output

 QuantizedBiasAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input bias,
  ::tensorflow::Input min_input,
  ::tensorflow::Input max_input,
  ::tensorflow::Input min_bias,
  ::tensorflow::Input max_bias,
  DataType out_type
)