Created
March 12, 2021 14:12
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Calculate function gradient via numpy
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| import numpy as np | |
| def nabla(f): | |
| n = f.__code__.co_argcount | |
| d = (np.arange(-100, 101, 1) for i in range(n)) | |
| x = np.meshgrid(*d) | |
| return np.gradient(f(*x)) | |
| x_squared = lambda x: x ** 2 | |
| print(nabla(x_squared)) |
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