Morten Hjorth-Jensen
11 lines
233 B
Python
11 lines
233 B
Python
import jax.nuympy as jnp
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from jax import grad, jit, vmap
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from jax import random
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def sum_logistic(x):
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return jnp.sum(1.0 / (1.0 + jnp.exp(-x)))
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x_small = arange(3.)
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derivative_fn = grad(sum_logistic)
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print(derivative_fn(x_small))
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