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From GitBox <...@apache.org>
Subject [GitHub] [incubator-tvm] masahi commented on a change in pull request #5194: [PYTORCH]Activations for pytorch
Date Wed, 01 Apr 2020 02:51:17 GMT
masahi commented on a change in pull request #5194: [PYTORCH]Activations for pytorch
URL: https://github.com/apache/incubator-tvm/pull/5194#discussion_r401326602
 
 

 ##########
 File path: tests/python/frontend/pytorch/test_forward.py
 ##########
 @@ -335,6 +335,53 @@ def forward(self, *args):
     input_data = torch.rand(input_shape).float()
     verify_model(ReLU1().float().eval(), input_data=input_data)
 
+def test_forward_prelu():
+    torch.set_grad_enabled(False)
+    input_shape = [1, 3, 10, 10]
+
+    class PReLU1(Module):
+        def __init__(self):
+            super(PReLU1, self).__init__()
+            self.prelu = torch.nn.PReLU(num_parameters=3)
+        def forward(self, *args):
+            return self.prelu(args[0])
+
+    input_data = torch.rand(input_shape).float()
+    verify_model(PReLU1().float().eval(), input_data=input_data)
+
+def test_forward_leakyrelu():
+    torch.set_grad_enabled(False)
+    input_shape = [10, 10]
+
+    class LeakyReLU1(Module):
+        def forward(self, *args):
+            return torch.nn.LeakyReLU(negative_slope=0.05)(args[0])
+
+    input_data = torch.rand(input_shape).float()
+    verify_model(LeakyReLU1().float().eval(), input_data=input_data)
+
+def test_forward_elu():
+    torch.set_grad_enabled(False)
+    input_shape = [10, 10]
+
+    class ELU1(Module):
+        def forward(self, *args):
+            return torch.nn.ELU(alpha=1.3)(args[0])
+
+    input_data = torch.rand(input_shape).float()
+    verify_model(ELU1().float().eval(), input_data=input_data)
+
+def test_forward_log_sigmoid():
+    torch.set_grad_enabled(False)
+    input_shape = [10, 10]
+
+    class LogSigmoid1(Module):
+        def forward(self, *args):
+            return torch.nn.LogSigmoid()(args[0])
+
+    input_data = torch.rand(input_shape).float()
+    verify_model(LogSigmoid1().float().eval(), input_data=input_data)
+
 
 Review comment:
   New tests shouldn't add these wrapper classes. Use the torch modules directly. See
   
   https://github.com/apache/incubator-tvm/blob/430cb89995bff298cca0adf6ef1087d071875d1a/tests/python/frontend/pytorch/test_forward.py#L771-L781

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