tf.raw_ops.QuantizedBiasAdd
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. |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/QuantizedBiasAdd