diff --git a/python/tvm/relay/frontend/pytorch.py b/python/tvm/relay/frontend/pytorch.py
index dc5938931ed0..3887b40141c7 100644
--- a/python/tvm/relay/frontend/pytorch.py
+++ b/python/tvm/relay/frontend/pytorch.py
@@ -1698,6 +1698,8 @@ def matmul(self, inputs, input_types):
             return output
         elif len(a_shape) > 2:
             inputs_0 = _op.reshape(inputs_0, [-1, a_shape[-1]])
+        elif len(a_shape) == 1:
+            return _op.squeeze(_op.nn.matmul(_op.expand_dims(inputs_0, axis=0), inputs_1), axis=[0])
 
         if len(b_shape) > 2:
             trans_axes = list(range(len(b_shape)))
diff --git a/tests/python/frontend/pytorch/test_forward.py b/tests/python/frontend/pytorch/test_forward.py
index 1abd59dce811..642beb015fec 100644
--- a/tests/python/frontend/pytorch/test_forward.py
+++ b/tests/python/frontend/pytorch/test_forward.py
@@ -3511,6 +3511,11 @@ def forward(self, *args):
     tensor2 = torch.randn(4)
     verify_model(MatMul1().float().eval(), input_data=[tensor1, tensor2])
 
+    # vector x matrix
+    tensor1 = torch.randn(4)
+    tensor2 = torch.randn(4, 3)
+    verify_model(MatMul1().float().eval(), input_data=[tensor1, tensor2])
+
     # matrix x matrix
     tensor1 = torch.randn(10, 4)
     tensor2 = torch.randn(4, 10)