tf.raw_ops.QuantizedBiasAdd

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

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

Args
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).
Returns
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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/QuantizedBiasAdd