Equal - 1 vs 7#

Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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. Equal1 → Equal7 +13 -4
Equal1 → Equal7 RENAMED
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  Returns the tensor resulted from performing the equal logical operation
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- elementwise on the input tensors A and B (with Numpy-style broadcasting support).
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+ elementwise on the input tensors A and B.
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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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+ If broadcasting is enabled, the right-hand-side argument will be broadcasted
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+ to match the shape of left-hand-side argument. See the doc of Add for a
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+ detailed description of the broadcasting rules.
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+
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+ **Attributes**
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+
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+ * **axis**:
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+ If set, defines the broadcast dimensions.
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+ * **broadcast**:
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+ Enable broadcasting
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  **Inputs**
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  * **A** (heterogeneous) - **T**:
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- First input operand for the logical operator.
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+ Left input tensor for the logical operator.
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  * **B** (heterogeneous) - **T**:
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- Second input operand for the logical operator.
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+ Right input tensor for the logical operator.
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  **Outputs**
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  * **C** (heterogeneous) - **T1**:
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  Result tensor.
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  **Type Constraints**
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  * **T** in (
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  tensor(bool),
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  tensor(int32),
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  tensor(int64)
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  ):
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  Constrain input to integral tensors.
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  * **T1** in (
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  tensor(bool)
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  ):
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  Constrain output to boolean tensor.