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copapy
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bench mark script updated

This commit is contained in:
Nicolas 2025-12-06 15:15:07 +01:00
parent d772d9fa2e
commit 42116b96c9
1 changed files with 23 additions and 13 deletions
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36
tests/benchmark.py
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@ -20,8 +20,8 @@ def cp_vs_python(path: str):
results: list[dict[str, str | float | int]] = []
for _ in range(7):
for v_size in [10, 20, 40, 60] + list(range(100, 500, 50)):
for _ in range(15):
for v_size in [10, 30, 60] + list(range(100, 600, 100)):
sum_size = 10
#v_size = 400
@ -51,7 +51,7 @@ def cp_vs_python(path: str):
time.sleep(0.1)
t0 = time.perf_counter()
for _ in range(iter_size//10):
for _ in range(iter_size//100):
v3 = sum((v1 + i) @ v2 for i in range(sum_size))
elapsed_python = time.perf_counter() - t0
@ -84,16 +84,25 @@ def cp_vs_python_sparse(path: str = 'benchmark_results_001_sparse.json'):
results: list[dict[str, str | float | int]] = []
for _ in range(7):
for v_size in [10, 20, 40, 60] + list(range(100, 500, 50)):
for v_size in [8, 8, 16, 20, 24, 32]:
n_ones = int((v_size ** 2) * 0.5)
n_zeros = (v_size ** 2) - n_ones
mask = np.array([1] * n_ones + [0] * n_zeros).reshape((v_size, v_size))
np.random.shuffle(mask)
sum_size = 10
#v_size = 400
iter_size = 30000
iter_size = 3000
v1 = cp.vector(cp.variable(float(v)) for v in range(v_size))
v2 = cp.vector(cp.variable(float(v)) for v in [5]*v_size)
v3 = sum((cp.diagonal(v1) + i) @ v2 for i in range(sum_size))
test = cp.vector(np.linspace(0, 1, v_size))
assert False, test * v2
v3 = sum(((cp.diagonal(v1) + i) * cp.matrix(mask)) @ v2 for i in range(sum_size))
tg = cp.Target()
tg.compile(v3)
@ -114,8 +123,8 @@ def cp_vs_python_sparse(path: str = 'benchmark_results_001_sparse.json'):
time.sleep(0.1)
t0 = time.perf_counter()
for _ in range(iter_size//10):
v3 = sum((cp.diagonal(v1) + i) @ v2 for i in range(sum_size))
for _ in range(iter_size//1000):
v3 = sum(((cp.diagonal(v1) + i) * cp.matrix(mask)) @ v2 for i in range(sum_size))
elapsed_python = time.perf_counter() - t0
@ -124,12 +133,13 @@ def cp_vs_python_sparse(path: str = 'benchmark_results_001_sparse.json'):
v1 = np.array(list(range(v_size)), dtype=np.float32)
v2 = np.array([5]*v_size, dtype=np.float32)
i = np.array(list(range(sum_size)), dtype=np.int32).reshape([sum_size, 1, 1])
i_arr = np.array(list(range(sum_size)), dtype=np.int32).reshape([sum_size, 1, 1])
tmp1 = v1 * np.eye(v_size) + i_arr
time.sleep(0.1)
t0 = time.perf_counter()
for _ in range(iter_size):
v3 = np.sum((v1 * np.eye(v_size) + i) @ v2)
v3 = np.sum(((tmp1) * mask) @ v2)
elapsed_np = time.perf_counter() - t0
@ -205,10 +215,10 @@ if __name__ == "__main__":
subprocess.run([sys.executable, "tests/benchmark.py"])
elif 'plot' in sys.argv[1:]:
plot_results(path1)
plot_results(path2)
#plot_results(path2)
else:
cp_vs_python(path1)
plot_results(path1)
cp_vs_python_sparse(path2)
plot_results(path2)
#cp_vs_python_sparse(path2)
#plot_results(path2)