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⚡️ Speed up function tridiagonal_solve_jax by 1,995% #1074

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⚡️ Speed up function tridiagonal_solve_jax by 1,995% #1074

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3 changes: 2 additions & 1 deletion code_to_optimize/sample_code.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
import numpy as np
import tensorflow as tf
import torch
from jax import lax
from jax import jit, lax


def tridiagonal_solve(a: np.ndarray, b: np.ndarray, c: np.ndarray, d: np.ndarray) -> np.ndarray:
Expand Down Expand Up @@ -128,6 +128,7 @@ def _tridiagonal_back_step_jax(x_next, inputs):
return x_i, x_i


@jit
def tridiagonal_solve_jax(a, b, c, d):
n = b.shape[0]

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