tf.quantization.quantized_concat
Concatenates quantized tensors along one dimension.
tf.quantization.quantized_concat(
concat_dim, values, input_mins, input_maxes, name=None
)
| Args | |
|---|---|
concat_dim |
A Tensor of type int32. 0-D. The dimension along which to concatenate. Must be in the range [0, rank(values)). |
values |
A list of at least 2 Tensor objects with the same type. The N Tensors to concatenate. Their ranks and types must match, and their sizes must match in all dimensions except concat_dim. |
input_mins |
A list with the same length as values of Tensor objects with type float32. The minimum scalar values for each of the input tensors. |
input_maxes |
A list with the same length as values of Tensor objects with type float32. The maximum scalar values for each of the input tensors. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A tuple of Tensor objects (output, output_min, output_max). |
|
output |
A Tensor. Has the same type as values. |
output_min |
A Tensor of type float32. |
output_max |
A Tensor of type float32. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/quantization/quantized_concat