LeakyRelu - 1 vs 6

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1. LeakyRelu1 → LeakyRelu6 +1 -3

LeakyRelu1 → LeakyRelu6 RENAMED Viewed

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1 1	LeakyRelu takes input data (Tensor<T>) and an argument alpha, and produces one
2 2	output data (Tensor<T>) where the function f(x) = alpha * x for x < 0,
3 3	f(x) = x for x >= 0, is applied to the data tensor elementwise.
4 4	**Attributes**
5 5	* **alpha**:
6	- Coefficient of leakage default to 0.01.
6	+ Coefficient of leakage.
7	- * **consumed_inputs**:
8	- legacy optimization attribute.
9 7	**Inputs**
10 8	* **X** (heterogeneous) - **T**:
11 9	Input tensor
12 10	**Outputs**
13 11	* **Y** (heterogeneous) - **T**:
14 12	Output tensor
15 13	**Type Constraints**
16 14	* **T** in (
17 15	tensor(double),
18 16	tensor(float),
19 17	tensor(float16)
20 18	):
21 19	Constrain input and output types to float tensors.