Neg - 1 vs 6

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  1. Neg1 → Neg6 +6 -7
Neg1 → Neg6 RENAMED
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  Neg takes one input data (Tensor<T>) and produces one output data
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  (Tensor<T>) where each element flipped sign, y = -x, is applied to
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  the tensor elementwise.
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-
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- **Attributes**
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-
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- * **consumed_inputs**:
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- legacy optimization attribute.
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  **Inputs**
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  * **X** (heterogeneous) - **T**:
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  Input tensor
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  **Outputs**
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  * **Y** (heterogeneous) - **T**:
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  Output tensor
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  **Type Constraints**
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  * **T** in (
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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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  ):
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- Constrain input and output types to float tensors.? ^^^^^
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+ Constrain input and output types to signed numeric tensors.? ^^^^^^^^^^^^^^