Adds Tensor 'bias' to Tensor 'input' for Quantized types.
tf.raw_ops.QuantizedBiasAdd(
input, bias, min_input, max_input, min_bias, max_bias, out_type, name=None
)
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.
|