Added LeNet5 example

pyexamples/lenet5.py

@@ -0,0 +1,56 @@
+
+import sys
+sys.path.append('../')
+from pycore.tikzeng import *
+from pycore.blocks  import *
+
+arch = [ 
+    to_head('..'), 
+    to_cor(),
+    to_begin(),
+    
+    #input
+    to_input( '9.png', height=7, width=7 ),
+
+    to_Conv("INPUT", 32, 1, offset="(0,0,0)", to="(0,0,0)", height=32, depth=32, width=1, caption="INPUT" ),
+    to_Conv("C1", 28, 6, offset="(1,0,0)", to="(INPUT-east)", height=28, depth=28, width=6, caption="C1" ),
+    to_connection( "INPUT", "C1"),
+    to_Pool("S2", offset="(0,0,0)", to="(C1-east)", height=14, depth=14, width=6, caption="S2"),
+    to_Conv("C3", 10, 16, offset="(1,0,0)", to="(S2-east)", height=10, depth=10, width=16, caption="C3" ),
+    to_connection( "S2", "C3"),
+    to_Pool("S4", offset="(0,0,0)", to="(C3-east)", height=5, depth=5, width=16, caption="S4"),
+    to_Conv("C5", 120, 1, offset="(1,0,0)", to="(S4-east)", height=1, depth=120, width=1, caption="C5" ),
+    to_connection( "S4", "C5"),
+    to_Conv("F6", 84, 1, offset="(1,0,0)", to="(C5-east)", height=1, depth=84, width=1, caption="F6" ),
+    to_connection( "C5", "F6"),
+    to_SoftMax("OUTPUT", 10 ,"(3,0,0)", "(C5-east)", caption="OUTPUT" ),    
+    to_connection( "F6", "OUTPUT"),
+
+# input(32, 32, 1)
+# conv(28, 28, 6)
+
+# pool(14, 14, 6)
+# conv(10, 10, 16)
+# pool(5, 5, 16)
+# conv(1,1,120)
+# fullyconn(1,1,84)
+# softmax(1,1,10)
+
+    # to_Pool("pool1", offset="(0,0,0)", to="(conv1-east)"),
+    # to_Conv("conv2", 128, 64, offset="(1,0,0)", to="(pool1-east)", height=32, depth=32, width=2 ),
+    #to_connection( "pool1", "conv2"), 
+    # to_Pool("pool2", offset="(0,0,0)", to="(conv2-east)", height=28, depth=28, width=1),
+    # to_SoftMax("soft1", 10 ,"(3,0,0)", "(pool1-east)", caption="SOFT"  ),
+    # to_connection("pool2", "soft1"), 
+     
+    to_end() 
+    ]
+
+
+def main():
+    namefile = str(sys.argv[0]).split('.')[0]
+    to_generate(arch, namefile + '.tex' )
+
+if __name__ == '__main__':
+    main()
+