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| author | Nunigan <michaelschmid13@hotmail.com> | 2021-08-02 08:15:28 +0200 |
|---|---|---|
| committer | Nunigan <michaelschmid13@hotmail.com> | 2021-08-02 08:15:28 +0200 |
| commit | bd4c62c3e9de5b1fd5fbd1422bdac8843a928897 (patch) | |
| tree | 7e3a451e565c146b2e46b4c40999e39421e903e6 /buch/papers/multiplikation/code/MM.py | |
| parent | update (diff) | |
| parent | update (diff) | |
| download | SeminarMatrizen-bd4c62c3e9de5b1fd5fbd1422bdac8843a928897.tar.gz SeminarMatrizen-bd4c62c3e9de5b1fd5fbd1422bdac8843a928897.zip | |
Merge branch 'master' of https://github.com/Nunigan/SeminarMatrizen
Diffstat (limited to '')
| -rw-r--r-- | buch/papers/multiplikation/code/MM.py | 23 |
1 files changed, 12 insertions, 11 deletions
diff --git a/buch/papers/multiplikation/code/MM.py b/buch/papers/multiplikation/code/MM.py index 626b82d..352771f 100644 --- a/buch/papers/multiplikation/code/MM.py +++ b/buch/papers/multiplikation/code/MM.py @@ -174,10 +174,11 @@ def test_perfomance(n): plt.plot(n, t_mm_strassen, label='Strassen', lw=5) plt.plot(n, t_wino, label='Winograd', lw=5) plt.plot(n, t_np, label='NumPy A@B', lw=5) + plt.xscale('log', base=2) plt.legend() plt.xlabel("n") plt.ylabel("time (s)") - plt.grid(True) + plt.grid(True, which="both", ls="-") plt.tight_layout() # plt.yscale('log') plt.legend(fontsize=19) @@ -198,7 +199,7 @@ def plot(num): plt.plot(n, t_mm, label='3 For Loops', lw=5) plt.plot(n, t_mm_dc, label='Divide and Conquer', lw=5) plt.plot(n, t_mm_strassen, label='Strassen', lw=5) - # plt.plot(n, t_wino, label='Winograd', lw=5) + plt.plot(n, t_wino, label='Winograd', lw=5) plt.plot(n, t_np, label='NumPy A@B', lw=5) plt.legend() plt.xlabel("n") @@ -275,22 +276,22 @@ def plot_c_res(ave, num): # test%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if __name__ == '__main__': - plot_c_res(1, 4096) + # plot_c_res(1, 4096) # plot(8) - # n = np.logspace(1,10,10,base=2,dtype=(np.int)) + n = np.logspace(1,8,8,base=2,dtype=(np.int)) # n = np.arange(1,50,2) - A = np.random.randint(-10, 10, (5,3)) - B = np.random.randint(-10, 10, (3,5)) + # A = np.random.randint(-10, 6, (5,3)) + # B = np.random.randint(-10, 6, (3,5)) - C = winograd2(A, B) - C_test = A@B - print(C) - print(C_test) + # C = winograd2(A, B) + # C_test = A@B + # print(C) + # print(C_test) # print(np.equal(C, C_test)) - # t_np = test_perfomance(n) + t_np = test_perfomance(n) # C = strassen(A, B) # C_test = A@B |