Concat - 11 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Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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.
- Concat11 → Concat13 +0 -1
Concat11 → Concat13
RENAMED
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@@ -1 +1 @@
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1
1
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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.
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2
2
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**Attributes**
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3
3
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* **axis** (required):
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4
4
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Which axis to concat on. A negative value means counting dimensions
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5
5
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from the back. Accepted range is [-r, r-1] where r = rank(inputs)..
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6
6
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**Inputs**
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7
7
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Between 1 and 2147483647 inputs.
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8
8
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* **inputs** (variadic, heterogeneous) - **T**:
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9
9
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List of tensors for concatenation
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10
10
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**Outputs**
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11
11
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* **concat_result** (heterogeneous) - **T**:
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12
12
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Concatenated tensor
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13
13
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**Type Constraints**
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14
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* **T** in (
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15
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-
tensor(bfloat16),
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16
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tensor(bool),
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17
16
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tensor(complex128),
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18
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tensor(complex64),
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tensor(double),
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tensor(float),
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21
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tensor(float16),
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22
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tensor(int16),
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23
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tensor(int32),
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tensor(int64),
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25
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tensor(int8),
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tensor(string),
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tensor(uint16),
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tensor(uint32),
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29
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tensor(uint64),
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tensor(uint8)
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):
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32
31
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Constrain output types to any tensor type.
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