ConcatFromSequence#

Domain: ai.onnx
Since version: 11

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.

Inputs

input_sequence (S): Sequence of tensors for concatenation

Outputs

concat_result (T): Concatenated tensor

Attributes

axis (int): Which axis to concat on. Accepted range in [-r, r - 1], where r is the rank of input tensors. When new_axis is 1, accepted range is [-r - 1, r].
new_axis (int): Insert and concatenate on a new axis or not, default 0 means do not insert new axis.

Type Constraints

S: Constrain input types to any tensor type. Allowed types: 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)).
T: Constrain output types to any tensor type. Allowed types: 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).

Examples#

test_cc_concat_from_sequence_axis_0

Node:
  ConcatFromSequence(input_seq) -> (concat_result)
  Attributes:
    axis = 0

Inputs:
  input_seq: shape=(2, 3), dtype=float32
    [[-1.  ,  0.  ,  1.5 ],
     [-2.25,  3.5 , -4.75]]
  input_1: shape=(2, 3), dtype=float32
    [[0., 1., 2.],
     [3., 4., 5.]]
  input_2: shape=(2, 3), dtype=float32
    [[ 6.,  7.,  8.],
     [ 9., 10., 11.]]

Outputs:
  concat_result: shape=(6, 3), dtype=float32
    [[-1.  ,  0.  ,  1.5 ],
     [-2.25,  3.5 , -4.75],
     [ 0.  ,  1.  ,  2.  ],
     [ 3.  ,  4.  ,  5.  ],
     [ 6.  ,  7.  ,  8.  ],
     [ 9.  , 10.  , 11.  ]]

test_cc_concat_from_sequence_axis_1

Node:
  ConcatFromSequence(input_seq) -> (concat_result)
  Attributes:
    axis = 1

Inputs:
  input_seq: shape=(2, 3), dtype=float32
    [[-1.  ,  0.  ,  1.5 ],
     [-2.25,  3.5 , -4.75]]
  input_1: shape=(2, 3), dtype=float32
    [[0., 1., 2.],
     [3., 4., 5.]]
  input_2: shape=(2, 3), dtype=float32
    [[ 6.,  7.,  8.],
     [ 9., 10., 11.]]

Outputs:
  concat_result: shape=(2, 9), dtype=float32
    [[-1.  ,  0.  ,  1.5 ,  0.  ,  1.  ,  2.  ,  6.  ,  7.  ,  8.  ],
     [-2.25,  3.5 , -4.75,  3.  ,  4.  ,  5.  ,  9.  , 10.  , 11.  ]]

test_cc_concat_from_sequence_new_axis

Node:
  ConcatFromSequence(input_seq) -> (concat_result)
  Attributes:
    axis = 0
    new_axis = 1

Inputs:
  input_seq: shape=(2, 3), dtype=float32
    [[-1.  ,  0.  ,  1.5 ],
     [-2.25,  3.5 , -4.75]]
  input_1: shape=(2, 3), dtype=float32
    [[0., 1., 2.],
     [3., 4., 5.]]
  input_2: shape=(2, 3), dtype=float32
    [[ 6.,  7.,  8.],
     [ 9., 10., 11.]]

Outputs:
  concat_result: shape=(3, 2, 3), dtype=float32
    [[[-1.  ,  0.  ,  1.5 ],
      [-2.25,  3.5 , -4.75]],

     [[ 0.  ,  1.  ,  2.  ],
      [ 3.  ,  4.  ,  5.  ]],

     [[ 6.  ,  7.  ,  8.  ],
      [ 9.  , 10.  , 11.  ]]]