Unexpected behavior of @jit and @boost

Recently I tested transonic with this simple code:

transonic_test.py

import numpy as np
from transonic import jit,boost

#transonic def norming(float[])

@boost
def norming(np_array):
    norm_array = np.linalg.norm(np_array, axis=1)
    return norm_array

I use this command to compile it ahead-of-time:

transonic transonic_test.py -af "-march=native -DUSE_XSIMD -Ofast"

which ran successfully. However, when I execute the following program

transonic_test_main.py

from transonic_test import *
from timeit import default_timer as timer

start_1 = timer()
for i in range(1000):
    in_arr = np.random.rand(10000, 3)
    norm_arr = norming(in_arr)
end_1 = timer()

print("time spent are {}".format(end_1 - start_1))

with python, the output shows:

DEBUG    Using rich for tracking progress.                                                                             
WARNING  Pythran file does not seem to be up-to-date:                                                                  
         <module '__pythran__.transonic_test_4f3187f787722cc89a00775cc0002503' from '/Users/jw598/Desktop/high_entropy_
         alloy/__pythran__/transonic_test_4f3187f787722cc89a00775cc0002503.cpython-37m-darwin.so'>                     
         func: norming                                                                                                 
time spent are 0.3765912619999999

with the timing almost the same as pure python. This problem is identical to the one reported here:
https://stackoverflow.com/questions/64857530/transonic-run-python-code-instead-of-pythran

My system configuration is:

OS: MacOS Catalina 10.15.7
gcc: 10.2.0
python: 3.7.7
pythran: 0.9.8.post2
transonic: 0.4.7.post0

Thanks a lot!

Jingyang Wang