Xor - 1 vs 7¶
- Xor1 → Xor7 +4 -13
Xor1 → Xor7
RENAMED
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@@ -1 +1 @@
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1
1
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Returns the tensor resulted from performing the xor logical operation
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2
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-
elementwise on the input tensors A and B.
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2
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+
elementwise on the input tensors A and B (with Numpy-style broadcasting support).
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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/master/docs/Broadcasting.md>_.
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3
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-
If broadcasting is enabled, the right-hand-side argument will be broadcasted
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4
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-
to match the shape of left-hand-side argument. See the doc of Add for a
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5
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-
detailed description of the broadcasting rules.
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6
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-
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7
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-
**Attributes**
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8
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-
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9
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-
* **axis**:
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10
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-
If set, defines the broadcast dimensions.
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11
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-
* **broadcast**:
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12
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-
Enable broadcasting
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13
4
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**Inputs**
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14
5
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* **A** (heterogeneous) - **T**:
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15
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-
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6
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+
First input operand for the logical operator.
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16
7
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* **B** (heterogeneous) - **T**:
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17
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-
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8
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+
Second input operand for the logical operator.
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18
9
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**Outputs**
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19
10
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* **C** (heterogeneous) - **T1**:
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20
11
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Result tensor.
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21
12
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**Type Constraints**
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22
13
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* **T** in (
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23
14
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tensor(bool)
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24
15
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):
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25
16
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Constrain input to boolean tensor.
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26
17
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* **T1** in (
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27
18
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tensor(bool)
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28
19
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):
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29
20
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Constrain output to boolean tensor.
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