Greater - 7 vs 9¶
Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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.
- Greater7 → Greater9 +2 -2
Greater7 → Greater9
RENAMED
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@@ -1 +1 @@
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1
1
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Returns the tensor resulted from performing the greater logical operation
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2
2
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elementwise on the input tensors A and B (with Numpy-style broadcasting support).
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3
3
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This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [Broadcasting in ONNX](https://github.com/onnx/onnx/blob/main/docs/Broadcasting.md).
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4
4
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### Inputs
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5
5
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- **A** (heterogeneous) - **T**:
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6
6
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First input operand for the logical operator.
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7
7
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- **B** (heterogeneous) - **T**:
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8
8
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Second input operand for the logical operator.
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9
9
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### Outputs
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10
10
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- **C** (heterogeneous) - **T1**:
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11
11
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Result tensor.
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12
12
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### Type Constraints
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13
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-
* **T** in ( tensor(double), tensor(float), tensor(float16) ):
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13
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+
* **T** in ( tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
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14
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-
Constrain input to
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14
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+
Constrain input types to all numeric tensors.
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15
15
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* **T1** in ( tensor(bool) ):
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16
16
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Constrain output to boolean tensor.
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