diff --git a/mindspore/core/abstract/prim_others.cc b/mindspore/core/abstract/prim_others.cc
index 8d9dff2fc03..f706b61cae6 100644
--- a/mindspore/core/abstract/prim_others.cc
+++ b/mindspore/core/abstract/prim_others.cc
@@ -399,7 +399,7 @@ AbstractBasePtr InferImplMakeCOOTensor(const AnalysisEnginePtr &, const Primitiv
   }
   constexpr int64_t kDimTwo = 2;
   if (indices_shp[kIndexOne] != kDimTwo) {
-    MS_EXCEPTION(ValueError) << "For COOTensor, `indices.shape[" << kIndexOne << "]` must be " << kDimTwo << "but got "
+    MS_EXCEPTION(ValueError) << "For COOTensor, `indices.shape[" << kIndexOne << "]` must be " << kDimTwo << ",but got "
                              << indices_shp[kIndexOne];
   }
 
@@ -718,11 +718,13 @@ AbstractBasePtr InferImplMakeCSRTensor(const AnalysisEnginePtr &, const Primitiv
     return elem;
   });
   if (shape_vec.size() != kSizeTwo) {
-    MS_EXCEPTION(ValueError) << "Currently only supports 2-dimensional csr tensor, got shape length = "
+    MS_EXCEPTION(ValueError) << "Currently only supports 2-dimensional csr tensor, but got shape length = "
                              << shape_vec.size() << ".";
   }
   if (values_shp.size() + 1 != shape_vec.size()) {
-    MS_EXCEPTION(ValueError) << "Values' dimension should equal to csr_tensor's dimension - 1.";
+    MS_EXCEPTION(ValueError) << "Values' dimension should equal to csr_tensor's dimension - 1, but got"
+                             << "Values' dimension: " << values_shp.size()
+                             << ", csr_tensor's dimension: " << shape_vec.size() << ".";
   }
   if (shape_vec[kIndexZero] + 1 != indptr_shp[kIndexZero]) {
     MS_EXCEPTION(ValueError) << "Indptr must have length (1 + shape[0]), but got: " << indptr_shp[kIndexZero];
diff --git a/mindspore/python/mindspore/_checkparam.py b/mindspore/python/mindspore/_checkparam.py
index f42589475e2..cd31a46ffe3 100644
--- a/mindspore/python/mindspore/_checkparam.py
+++ b/mindspore/python/mindspore/_checkparam.py
@@ -884,7 +884,7 @@ class Validator:
     def check_csr_tensor_shape(indptr_shp, indices_shp, values_shp, csr_shp):
         """Checks input tensors' shapes for CSRTensor."""
         if len(csr_shp) != 2:
-            raise ValueError(f"Currently only supports 2-dimensional csr tensor, got `shape length`={len(csr_shp)}.")
+            raise ValueError(f"Currently only supports 2-dimensional csr tensor, but got shape length={len(csr_shp)}.")
         shape_size = 1
         for item in csr_shp:
             if item <= 0:
@@ -938,7 +938,7 @@ class Validator:
             raise ValueError(f"For COOTensor, `values` must be a 1-dimensional tensor, but got a {len(values_shp)}" \
                              f"dimension tensor.")
         if indices_shp[0] != values_shp[0]:
-            raise ValueError(f"For COOTensor, `indices.shape[0]` must be euqla to `values.shape[0]`, but got " \
+            raise ValueError(f"For COOTensor, `indices.shape[0]` must be euqal to `values.shape[0]`, but got " \
                              f"`indices.shape[0]` = {indices_shp[0]} and `values.shape[0]` = {values_shp[0]}.")
         if indices_shp[1] != 2:
             raise ValueError(f"For COOTensor, `indices.shape[1]` must be 2, but got {indices_shp[1]}.")
diff --git a/mindspore/python/mindspore/_extends/parse/standard_method.py b/mindspore/python/mindspore/_extends/parse/standard_method.py
index a58c31dae09..dcd34366519 100644
--- a/mindspore/python/mindspore/_extends/parse/standard_method.py
+++ b/mindspore/python/mindspore/_extends/parse/standard_method.py
@@ -1931,7 +1931,7 @@ def csr_abs(x):
 
 def csr_mv(x, dense_vector):
     """Implementation of `abs` for CSRTensor."""
-    check_value_type('dense_vector', dense_vector, (Tensor_,), 'Tensor')
+    check_value_type('dense_vector', dense_vector, (Tensor_,), 'CSRTensor.mv')
     return F.csr_mv(x, dense_vector)
 
 
diff --git a/mindspore/python/mindspore/common/tensor.py b/mindspore/python/mindspore/common/tensor.py
index 3df7e6209dd..4db82478d48 100644
--- a/mindspore/python/mindspore/common/tensor.py
+++ b/mindspore/python/mindspore/common/tensor.py
@@ -2846,7 +2846,7 @@ class CSRTensor(CSRTensor_):
             [[2.]
             [1.]]
         """
-        validator.check_value_type('dense_vector', dense_vector, (Tensor_,), 'Tensor')
+        validator.check_value_type('dense_vector', dense_vector, (Tensor_,), 'CSRTensor.mv')
         return tensor_operator_registry.get("csr_mv")(self, dense_vector)
 
     def sum(self, axis):