Min - 1 vs 6#
Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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.
- Min1 → Min6 +5 -0
Min1 → Min6
RENAMED
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@@ -1 +1 @@
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1
1
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Element-wise min of each of the input tensors. All inputs and outputs must
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2
2
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have the same shape and data type.
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3
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+
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4
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+
**Attributes**
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5
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+
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6
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+
* **consumed_inputs**:
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7
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+
legacy optimization attribute.
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3
8
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**Inputs**
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4
9
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Between 1 and 2147483647 inputs.
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5
10
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* **data_0** (variadic, heterogeneous) - **T**:
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6
11
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List of tensors for Min
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7
12
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**Outputs**
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8
13
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* **min** (heterogeneous) - **T**:
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9
14
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Output tensor. Same dimension as inputs.
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10
15
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**Type Constraints**
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11
16
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* **T** in (
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12
17
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tensor(double),
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13
18
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tensor(float),
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14
19
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tensor(float16)
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15
20
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):
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16
21
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Constrain input and output types to float tensors.
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