diff --git a/mindspore/ccsrc/ir/tensor.cc b/mindspore/ccsrc/ir/tensor.cc
index dccdbb65b8c..c06ba2a8203 100644
--- a/mindspore/ccsrc/ir/tensor.cc
+++ b/mindspore/ccsrc/ir/tensor.cc
@@ -30,8 +30,6 @@
 namespace mindspore {
 namespace tensor {
 
-using Bool = unsigned char;
-
 static std::string MakeId() {
   // Use atomic to make id generator thread safe.
   static std::atomic<uint64_t> last_id{1};
@@ -50,10 +48,7 @@ template <typename T>
 std::vector<T> CopyData(const std::vector<int> &shape, void *data, TypeId data_type) {
   const size_t count = SizeOf(shape);
   switch (data_type) {
-    case kNumberTypeBool: {
-      auto buf = static_cast<Bool *>(data);
-      return std::vector<T>(buf, buf + count);
-    }
+    case kNumberTypeBool:
     case kNumberTypeUInt8: {
       auto buf = static_cast<uint8_t *>(data);
       return std::vector<T>(buf, buf + count);
@@ -104,14 +99,6 @@ std::vector<T> CopyData(const std::vector<int> &shape, void *data, TypeId data_t
   MS_LOG(EXCEPTION) << "Cannot construct Tensor because of unsupported data type: " << data_type << ".";
 }
 
-// Convert to bool is not allowed.
-template <>
-std::vector<Bool> CopyData<Bool>(const std::vector<int> &shape, void *data, TypeId data_type) {
-  MS_LOG(EXCEPTION) << "Cannot convert from " << TypeIdLabel(data_type) << " to " << TypeIdLabel(kNumberTypeBool)
-                    << ".";
-  return {};
-}
-
 template <typename T>
 std::vector<T> CopyData(const std::vector<int> &shape, void *data, size_t data_len) {
   size_t size = SizeOf(shape);
@@ -192,10 +179,6 @@ template <typename... Args>
 TensorDataPtr MakeTensorData(TypeId data_type, const std::vector<int> &shape, Args... args) {
   switch (data_type) {
     case kNumberTypeBool:
-      // std::vector<bool> is a specialization of std::vector,
-      // it may use single bit instead of sizeof(bool) bytes,
-      // so we use std::vector<Bool> for bool tensors.
-      return std::make_shared<TensorDataImpl<Bool>>(shape, args...);
     case kNumberTypeUInt8:
       return std::make_shared<TensorDataImpl<uint8_t>>(shape, args...);
     case kNumberTypeInt8:
diff --git a/tests/ut/python/ir/test_tensor.py b/tests/ut/python/ir/test_tensor.py
index 357187cdddf..72100b2715e 100644
--- a/tests/ut/python/ir/test_tensor.py
+++ b/tests/ut/python/ir/test_tensor.py
@@ -430,10 +430,20 @@ def test_tensor_dtype_np_int64():
 
 
 def test_tensor_dtype_fp32_to_bool():
-    with pytest.raises(RuntimeError):
-        input_ = np.random.randn(2, 3, 4, 5).astype(np.float32)
-        input_ = ms.Tensor(input_)
-        _ = ms.Tensor(input_, dtype=ms.bool_)
+    input_ = np.random.randn(2, 3, 4, 5).astype(np.float32)
+    input_ = ms.Tensor(input_)
+    t = ms.Tensor(input_, dtype=ms.bool_)
+    assert isinstance(t, ms.Tensor)
+    assert t.shape == (2, 3, 4, 5)
+    assert t.dtype == ms.bool_
+
+
+def test_tensor_dtype_fp64_to_uint8():
+    array = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float64)
+    t = ms.Tensor(array, ms.uint8)
+    assert isinstance(t, ms.Tensor)
+    assert t.shape == (2, 3)
+    assert t.dtype == ms.uint8
 
 
 def test_tensor_operation():