Implement __matmul__ operator for Tensor.

python/infinicore/tensor.py

@@ -101,6 +101,9 @@ class Tensor:
     def __add__(self, other):
         return infinicore.add(self, other)
 
+    def __matmul__(self, other):
+        return infinicore.matmul(self, other)
+
     def __mul__(self, other):
         return infinicore.mul(self, other)
 

test/infinicore/test.py

@@ -80,6 +80,34 @@ def test2():
     print("abs error: ", torch.abs(ans2_torch_ref - torch_ans2_result).max())
 
 
+def test3():
+    "测试infinicore.Tensor的@运算符功能（矩阵乘法）"
+    shape1 = [2, 3]
+    shape2 = [3, 4]
+
+    x1_torch = torch.rand(shape1, dtype=torch.float32, device="cpu")
+    x2_torch = torch.rand(shape2, dtype=torch.float32, device="cpu")
+
+    x1_infini = infinicore.from_torch(x1_torch.clone())
+    x2_infini = infinicore.from_torch(x2_torch.clone())
+
+    ans_infini = x1_infini @ x2_infini
+    ans_torch_ref = x1_torch @ x2_torch
+
+    print("----------------------------------------")
+    torch_ans_result = torch.zeros([2, 4], dtype=torch.float32, device="cpu")
+    torch_ans = infinicore.from_blob(
+        torch_ans_result.data_ptr(),
+        [2, 4],
+        dtype=infinicore.float32,
+        device=infinicore.device("cpu", 0),
+    )
+    torch_ans.copy_(ans_infini)
+
+    print("abs error: ", torch.abs(ans_torch_ref - torch_ans_result).max())
+
+
 if __name__ == "__main__":
     # test()
     test2()
+    test3()