tf.quantization.quantized_concat

Concatenates quantized tensors along one dimension.

tf.quantization.quantized_concat(
    concat_dim: Annotated[Any, _atypes.Int32],
    values: Annotated[List[Any], TV_QuantizedConcat_T],
    input_mins: Annotated[List[Any], _atypes.Float32],
    input_maxes: Annotated[List[Any], _atypes.Float32],
    name=None
)

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).

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.