tf.quantization.quantized_concat

Concatenates quantized tensors along one dimension.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.quantization.quantized_concat, tf.compat.v1.quantized_concat

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
)

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.