jacobian

commit 35cf0456fa51d66f313f03bd07b16a9223291fa9
parent a69f7eb86e9dbc6811690ba4fdb515842b9d678e
Author: David Freifeld <freifeld.david@gmail.com>
Date:   Fri, 10 Jul 2020 16:28:02 -0700

Attempts to update benchmark are met with segfualts

Diffstat:
M
benchmark.py
 | 
12
+++++++-----

1 file changed, 7 insertions(+), 5 deletions(-)
diff --git a/benchmark.py b/benchmark.py
@@ -5,27 +5,29 @@ import time
 
 def bench(batch_sz, layers):
     init = time.time()
-    net = mrbpnn.Network("./data_banknote_authentication.txt", batch_sz, 0.0155, 0.03, 0.9)
+    net = mrbpnn.Network("./data_banknote_authentication.txt", batch_sz, 0.0155, 0.03, 0.1, 0.9)
     net.add_layer(4, "linear")
     for i in range(layers):
         net.add_layer(5, "relu")
     net.add_layer(1, "resig")
     net.initialize()
     initend = time.time()
-    net.train(50)
+    for i in range(1):
+        net.train()
     end = time.time()
     return (end-init)
 
 x = []
 y = []
 i = 1
-while(i < 1340):
+while(i < 125):
     print(i)
     y.append(bench(i, 1))
     x.append(i)
     i+=1;
-plt.plot(x,y, label = "ML-in-Parallel (Sequential)")
-    
+plt.plot(x,y, label = "Jacobian (Sequential)")
+
 # plt.plot(otherlist, [2.3994078636169434, 1.2735769748687744, 1.0030598640441895, 0.8972160816192627, 0.801548957824707, 0.752018928527832, 0.7073678970336914, 0.6857280731201172, 0.6707980632781982, 0.6421489715576172, 0.6614980697631836, 0.6403779983520508, 0.7251319885253906, 0.6796879768371582, 0.6601080894470215, 0.6711599826812744, 0.6432759761810303, 0.6491389274597168, 0.6762490272521973, 0.6859049797058105, 0.7067179679870605, 0.7142889499664307, 0.7258059978485107, 0.7868969440460205, 0.7326970100402832, 0.7365641593933105, 0.7576079368591309, 0.7772500514984131, 0.8062641620635986, 0.7768490314483643, 0.8253629207611084, 0.8264601230621338, 0.8459320068359375, 0.9670729637145996, 0.8388969898223877, 0.9129719734191895, 0.9009649753570557, 0.8916170597076416, 0.8926799297332764, 0.9171609878540039, 0.9242072105407715, 0.9534740447998047, 0.947465181350708, 0.9723358154296875, 1.018247127532959, 1.1208629608154297, 1.014026165008545, 1.034980058670044, 1.0626468658447266, 1.080394983291626, 1.0627479553222656, 1.0839190483093262, 1.0938241481781006, 1.127730131149292, 1.1265759468078613, 1.136888027191162, 1.140428066253662, 1.1712510585784912, 1.206390142440796, 1.2087180614471436, 1.4066569805145264, 1.2425589561462402, 1.280066967010498, 1.2891559600830078, 1.3243582248687744, 1.3152379989624023], label="Keras")
 plt.legend()
 plt.show()
+print(y)