Created
March 27, 2023 21:59
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what_exactly_does_'vectorisation'_mean?1
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# import numba | |
from numba import jit | |
# define our function to profile our compiled code | |
def find_instr(func, keyword, sig=0, limit=5): | |
count = 0 | |
# iterate over each of the assembly instructions and check if they match our chosen string | |
for l in func.inspect_asm(func.signatures[sig]).split('\n'): | |
if keyword in l or keyword == '': | |
count += 1 | |
print(l) | |
if count >= limit: | |
break | |
if count == 0: | |
print('No instructions found') | |
# apply numba's just-in-time compilation | |
@jit(nopython=True, fastmath=True) | |
def arr_sum(arr): | |
total = 0 | |
for i in range(arr.shape[0]): | |
total += arr[i] | |
return total | |
# define array | |
arr = np.arange(0, 1_000_000) | |
# run function (so it compiles at least once) | |
arr_sum(arr) | |
# inspect instruction set for additions | |
find_instr(arr_sum, 'add', limit=5) |
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