Concat - 1 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Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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.

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  1. Concat1 → Concat13 +5 -19
Concat1 → Concat13 RENAMED
@@ -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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+ Concatenate a list of tensors into a single tensor
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  **Attributes**
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+ * **axis**:
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+ Which axis to concat on. Default value is 1.
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- * **axis** (required):
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- Which axis to concat on. A negative value means counting dimensions
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- from the back. Accepted range is [-r, r-1] where r = rank(inputs)..
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  **Inputs**
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  Between 1 and 2147483647 inputs.
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  * **inputs** (variadic, heterogeneous) - **T**:
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  List of tensors for concatenation
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  **Outputs**
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  * **concat_result** (heterogeneous) - **T**:
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  Concatenated tensor
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  **Type Constraints**
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  * **T** in (
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- tensor(bfloat16),
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- tensor(bool),
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- tensor(complex128),
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- tensor(complex64),
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  tensor(double),
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  tensor(float),
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- tensor(float16),
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+ tensor(float16)
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- tensor(int16),
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- tensor(int32),
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- tensor(int64),
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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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- tensor(uint64),
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- tensor(uint8)
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  ):
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- Constrain output types to any tensor type.? ^^ ^^^^^
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+ Constrain output types to float tensors.? +++ ^ ^