aboutsummaryrefslogtreecommitdiffstats
path: root/buch/papers/multiplikation/code/MM
diff options
context:
space:
mode:
authorNunigan <michaelschmid13@hotmail.com>2021-08-02 08:15:28 +0200
committerNunigan <michaelschmid13@hotmail.com>2021-08-02 08:15:28 +0200
commitbd4c62c3e9de5b1fd5fbd1422bdac8843a928897 (patch)
tree7e3a451e565c146b2e46b4c40999e39421e903e6 /buch/papers/multiplikation/code/MM
parentupdate (diff)
parentupdate (diff)
downloadSeminarMatrizen-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.py23
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