skip for rmsnorm

Author: nihui

tools/pnnx/tests/ncnn/test_transformers_deepseek_v3_attention.py

@@ -29,6 +29,9 @@ def forward(self, x, mask0):
         return out0[0]
 
 def test():
+    if version.parse(torch.__version__) < version.parse('2.4'):
+        return True
+
     net = Model()
     net.eval()
 

tools/pnnx/tests/ncnn/test_transformers_qwen2_attention.py

@@ -29,6 +29,9 @@ def forward(self, x, mask0):
         return out0[0]
 
 def test():
+    if version.parse(torch.__version__) < version.parse('2.4'):
+        return True
+
     net = Model()
     net.eval()
 

tools/pnnx/tests/ncnn/test_transformers_qwen3_attention.py

@@ -29,6 +29,9 @@ def forward(self, x, mask0):
         return out0[0]
 
 def test():
+    if version.parse(torch.__version__) < version.parse('2.4'):
+        return True
+
     net = Model()
     net.eval()
 

tools/pnnx/tests/test_transformers_deepseek_v3_attention.py

@@ -29,6 +29,9 @@ def forward(self, x, mask0):
         return out0[0]
 
 def test():
+    if version.parse(torch.__version__) < version.parse('2.4'):
+        return True
+
     net = Model()
     net.eval()
 

tools/pnnx/tests/test_transformers_qwen2_attention.py

@@ -29,6 +29,9 @@ def forward(self, x, mask0):
         return out0[0]
 
 def test():
+    if version.parse(torch.__version__) < version.parse('2.4'):
+        return True
+
     net = Model()
     net.eval()
 

tools/pnnx/tests/test_transformers_qwen3_attention.py

@@ -29,6 +29,9 @@ def forward(self, x, mask0):
         return out0[0]
 
 def test():
+    if version.parse(torch.__version__) < version.parse('2.4'):
+        return True
+
     net = Model()
     net.eval()