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 .
|