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Fix mypy errors in maths/sigmoid_linear_unit.py #8786

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Merged
merged 12 commits into from
Jun 22, 2023
Merged

Fix mypy errors in maths/sigmoid_linear_unit.py #8786

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f7ba9da
updating DIRECTORY.md
Jan 2, 2023
8b44f10
Merge branch 'TheAlgorithms:master' into master
tianyizheng02 Jan 2, 2023
ed485a2
Fix mypy errors in sigmoid_linear_unit.py
tianyizheng02 Jan 7, 2023
b41eec5
Merge branch 'TheAlgorithms:master' into fix-mypy-errs-7
tianyizheng02 Jan 7, 2023
3056a78
Merge branch 'TheAlgorithms:master' into fix-mypy-errs-7
tianyizheng02 Jan 12, 2023
712a9f6
updating DIRECTORY.md
Jan 12, 2023
c07b9c2
Merge branch 'TheAlgorithms:master' into fix-mypy-errs-7
tianyizheng02 Feb 5, 2023
ad60708
Merge branch 'TheAlgorithms:master' into fix-mypy-errs-7
tianyizheng02 Mar 26, 2023
0844050
Merge branch 'TheAlgorithms:master' into fix-mypy-errs-7
tianyizheng02 Mar 26, 2023
4e2cf4b
Merge branch 'TheAlgorithms:master' into fix-mypy-errs-7
tianyizheng02 Apr 1, 2023
0a8871a
updating DIRECTORY.md
Apr 1, 2023
3f7f3b6
Merge branch 'TheAlgorithms:master' into fix-mypy-errs-7
tianyizheng02 May 30, 2023
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10 changes: 4 additions & 6 deletions maths/sigmoid_linear_unit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@
import numpy as np


def sigmoid(vector: np.array) -> np.array:
def sigmoid(vector: np.ndarray) -> np.ndarray:
"""
Mathematical function sigmoid takes a vector x of K real numbers as input and
returns 1/ (1 + e^-x).
Expand All @@ -29,17 +29,15 @@ def sigmoid(vector: np.array) -> np.array:
return 1 / (1 + np.exp(-vector))


def sigmoid_linear_unit(vector: np.array) -> np.array:
def sigmoid_linear_unit(vector: np.ndarray) -> np.ndarray:
"""
Implements the Sigmoid Linear Unit (SiLU) or swish function

Parameters:
vector (np.array): A numpy array consisting of real
values.
vector (np.ndarray): A numpy array consisting of real values

Returns:
swish_vec (np.array): The input numpy array, after applying
swish.
swish_vec (np.ndarray): The input numpy array, after applying swish

Examples:
>>> sigmoid_linear_unit(np.array([-1.0, 1.0, 2.0]))
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