ConcatFromSequence#
ConcatFromSequence - 11#
Version#
domain:
main
since_version:
11
function:
False
support_level:
SupportType.COMMON
shape inference:
True
This version of the operator has been available since version 11.
Summary#
Concatenate a sequence of tensors into a single tensor. All input tensors must have the same shape, except for the dimension size of the axis to concatenate on. By default ‘new_axis’ is 0, the behavior is similar to numpy.concatenate. When ‘new_axis’ is 1, the behavior is similar to numpy.stack.
Attributes#
axis - INT (required) :
Which axis to concat on. Accepted range in
[-r, r - 1]
, wherer
is the rank of input tensors. Whennew_axis
is 1, accepted range is[-r - 1, r]
.new_axis - INT (default is
'0'
):Insert and concatenate on a new axis or not, default 0 means do not insert new axis.
Inputs#
input_sequence (heterogeneous) - S:
Sequence of tensors for concatenation
Outputs#
concat_result (heterogeneous) - T:
Concatenated tensor
Type Constraints#
S in (
seq(tensor(bool))
,seq(tensor(complex128))
,seq(tensor(complex64))
,seq(tensor(double))
,seq(tensor(float))
,seq(tensor(float16))
,seq(tensor(int16))
,seq(tensor(int32))
,seq(tensor(int64))
,seq(tensor(int8))
,seq(tensor(string))
,seq(tensor(uint16))
,seq(tensor(uint32))
,seq(tensor(uint64))
,seq(tensor(uint8))
):Constrain input types to any tensor type.
T in (
tensor(bool)
,tensor(complex128)
,tensor(complex64)
,tensor(double)
,tensor(float)
,tensor(float16)
,tensor(int16)
,tensor(int32)
,tensor(int64)
,tensor(int8)
,tensor(string)
,tensor(uint16)
,tensor(uint32)
,tensor(uint64)
,tensor(uint8)
):Constrain output types to any tensor type.