Concat - 4 vs 13#

Next section compares an older to a newer version of the same operator after both definition are converted into markdown text. Green means an addition to the newer version, red means a deletion. Anything else is unchanged.

Files changed (1) hide show
  1. Concat4 → Concat13 +2 -4
Concat4 → Concat13 RENAMED
@@ -1 +1 @@
1
- Concatenate a list 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.
1
+ Concatenate a list of tensors into a single tensor
2
2
  **Attributes**
3
3
  * **axis** (required):
4
+ Which axis to concat on
4
- Which axis to concat on. A negative value means counting dimensions
5
- from the back. Accepted range is [-r, r-1] where r = rank(inputs)..
6
5
  **Inputs**
7
6
  Between 1 and 2147483647 inputs.
8
7
  * **inputs** (variadic, heterogeneous) - **T**:
9
8
  List of tensors for concatenation
10
9
  **Outputs**
11
10
  * **concat_result** (heterogeneous) - **T**:
12
11
  Concatenated tensor
13
12
  **Type Constraints**
14
13
  * **T** in (
15
- tensor(bfloat16),
16
14
  tensor(bool),
17
15
  tensor(complex128),
18
16
  tensor(complex64),
19
17
  tensor(double),
20
18
  tensor(float),
21
19
  tensor(float16),
22
20
  tensor(int16),
23
21
  tensor(int32),
24
22
  tensor(int64),
25
23
  tensor(int8),
26
24
  tensor(string),
27
25
  tensor(uint16),
28
26
  tensor(uint32),
29
27
  tensor(uint64),
30
28
  tensor(uint8)
31
29
  ):
32
30
  Constrain output types to any tensor type.