[examples/pytorch] added a bunch of models for more thorough testing

examples/python/pytorch/models/lenet.py

@@ -0,0 +1,24 @@
+'''LeNet in PyTorch.'''
+import torch.nn as nn
+import torch.nn.functional as F
+import triton
+
+class LeNet(nn.Module):
+    def __init__(self):
+        super(LeNet, self).__init__()
+        self.conv1 = nn.Conv2d(3, 512, 3)
+        self.conv2 = triton.Conv2d(512, 512, 1)
+        self.fc1   = nn.Linear(512*7*7, 120)
+        self.fc2   = nn.Linear(120, 84)
+        self.fc3   = nn.Linear(84, 10)
+
+    def forward(self, x):
+        out = F.relu(self.conv1(x))
+        out = F.max_pool2d(out, 2)
+        out = F.relu(self.conv2(out))
+        out = F.max_pool2d(out, 2)
+        out = out.view(out.size(0), -1)
+        out = F.relu(self.fc1(out))
+        out = F.relu(self.fc2(out))
+        out = self.fc3(out)
+        return out