Concatenates quantized tensors along one dimension.
tf.quantization.quantized_concat(
concat_dim, values, input_mins, input_maxes, 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.