tf.raw_ops.QuantizedBiasAdd

robots: noindex

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

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

input A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
bias A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. A 1D bias Tensor with size matching the last dimension of 'input'.
min_input A Tensor of type float32. The float value that the lowest quantized input value represents.
max_input A Tensor of type float32. The float value that the highest quantized input value represents.
min_bias A Tensor of type float32. The float value that the lowest quantized bias value represents.
max_bias A Tensor of type float32. The float value that the highest quantized bias value represents.
out_type A tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16.
name A name for the operation (optional).

A tuple of Tensor objects (output, min_out, max_out).
output A Tensor of type out_type.
min_out A Tensor of type float32.
max_out A Tensor of type float32.