diff --git a/docs/api/api_python/ops/mindspore.ops.func_addbmm.rst b/docs/api/api_python/ops/mindspore.ops.func_addbmm.rst
index e9b93bd929a..4830bc79ecd 100644
--- a/docs/api/api_python/ops/mindspore.ops.func_addbmm.rst
+++ b/docs/api/api_python/ops/mindspore.ops.func_addbmm.rst
@@ -22,4 +22,5 @@
         Tensor，和 `x` 具有相同的dtype。
 
     异常：
+        - **TypeError** - 如果 `alpha`，`beta` 不是int或者float。
         - **ValueError** - 如果 `batch1`， `batch2` 不能进行批量矩阵乘法。
diff --git a/mindspore/python/mindspore/ops/function/math_func.py b/mindspore/python/mindspore/ops/function/math_func.py
index 0b1400a72ce..048e0f460e7 100644
--- a/mindspore/python/mindspore/ops/function/math_func.py
+++ b/mindspore/python/mindspore/ops/function/math_func.py
@@ -4758,6 +4758,7 @@ def addbmm(x, batch1, batch2, *, beta=1, alpha=1):
         Tensor, has the same dtype as `x`.
 
     Raises:
+        TypeError: If `alpha` or beta is not an int or float.
         ValueError: If `batch1`, `batch2` cannot apply batch matrix multiplication.
 
     Supported Platforms:
@@ -4776,6 +4777,10 @@ def addbmm(x, batch1, batch2, *, beta=1, alpha=1):
          [1285. 1377. 1469.]
          [1621. 1745. 1869.]]
     """
+    if not isinstance(alpha, (int, float)):
+        raise TypeError(f"For 'addbmm', parameter 'alpha' must be an int or float, but got {type(alpha)}.")
+    if not isinstance(beta, (int, float)):
+        raise TypeError(f"For 'addbmm', parameter 'beta' must be an int or float, but got {type(beta)}.")
     bmm_op = _get_cache_prim(P.BatchMatMul)()
     bmm_res = bmm_op(batch1, batch2)
     return beta * x + alpha * (bmm_res.sum(axis=0))