Mean - 8 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Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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.
- Mean8 → Mean13 +1 -1
Mean8 → Mean13
RENAMED
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@@ -1 +1 @@
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1
1
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Element-wise mean of each of the input tensors (with Numpy-style broadcasting support).
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2
2
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All inputs and outputs must have the same data type.
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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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Between 1 and 2147483647 inputs.
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6
6
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- **data_0** (variadic, heterogeneous) - **T**:
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7
7
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List of tensors for mean.
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8
8
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### Outputs
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9
9
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- **mean** (heterogeneous) - **T**:
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10
10
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Output tensor.
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11
11
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### Type Constraints
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12
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-
* **T** in ( tensor(double), tensor(float), tensor(float16) ):
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12
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+
* **T** in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):
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13
13
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Constrain input and output types to float tensors.
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