v0.1

Full Changelog: v0.0.5...v0.1

v0.0.5

What's Changed

• Enable pytree step_size, offsets input by @ASEM000 in #5
• fgrad can handle arrays

import numpy as np
import jax
import finitediffx as fdx 

def func(x):
    return np.sum(np.sin(x))

x = np.ones([5,1])

print(fdx.fgrad(func)(x))
# [[0.54003906]
#  [0.54003906]
#  [0.54003906]
#  [0.54003906]
#  [0.54003906]]


try:
    jax.grad(func)(x)
except jax.errors.TracerArrayConversionError:
    print("Fail: `jax.grad` cannot be used with numpy arrays")
    def func(x):
        return jnp.sum(jnp.sin(x))
    print(jax.grad(func)(x))
# Fail: `jax.grad` cannot be used with numpy arrays
# [[0.54030234]
#  [0.54030234]
#  [0.54030234]
#  [0.54030234]
#  [0.54030234]]

Full Changelog: v0.0.4...v0.0.5

v0.0.4

What's Changed

• Value and fgrad by @ASEM000 in #3
• fgrad with pytrees by @ASEM000 in #4

Full Changelog: v0.0.3...v0.0.4

v0.0.3

What's Changed

• Add define_fdjvp and fgrad improvements by @ASEM000 in #2

Full Changelog: v0.0.2...v0.0.3

v0.0.2

What's Changed

• Added Forward, Backward and Central Difference Option. by @jejjohnson in #1

New Contributors

• @jejjohnson made their first contribution in #1

Full Changelog: v0.0.1...v0.0.2

v0.0.1

initial release