diff --git a/mindspore/ccsrc/operator/composite/do_signature.cc b/mindspore/ccsrc/operator/composite/do_signature.cc
index dd4d3a87c6ff935c4eaef3394c797fd76e337414..305f07584f69ca6853becbf3132c28b0d33cc22d 100644
--- a/mindspore/ccsrc/operator/composite/do_signature.cc
+++ b/mindspore/ccsrc/operator/composite/do_signature.cc
@@ -255,9 +255,6 @@ void DoAutoCast(const std::vector<Signature> &signature, const abstract::Abstrac
     if (arg_value->isa<abstract::AbstractTensor>() && arg_type_id == it->second) {
       continue;
     }
-    if ((arg_type_id == kNumberTypeBool || it->second == kNumberTypeBool) && arg_type_id != it->second) {
-      continue;
-    }
     (*op_inputs)[i + 1] = DoCast((*op_inputs)[i + 1], it->second, graph);
   }
 }
diff --git a/tests/ut/python/ops/test_math_ops.py b/tests/ut/python/ops/test_math_ops.py
index d600ce16b4c8b9ead33efd0760257b9049fcd9c7..e280cc10947b80030f01e2f9872f4de6d393976f 100755
--- a/tests/ut/python/ops/test_math_ops.py
+++ b/tests/ut/python/ops/test_math_ops.py
@@ -101,10 +101,8 @@ def test_pow():
     result = testpow(input_tensor, power)
     assert np.all(result.asnumpy() == expect)
     net = PowNet()
-    with pytest.raises(TypeError):
-        net(input_tensor, True)
-    with pytest.raises(TypeError):
-        net(input_tensor, power2)
+    net(input_tensor, True)
+    net(input_tensor, power2)
 
 
 def test_exp():
diff --git a/tests/ut/python/ops/test_math_ops_check.py b/tests/ut/python/ops/test_math_ops_check.py
index 355e35f9331ad102c369fa9d94eda4a12fde544f..9772de82e4378b0231a16acb600c338c2e155dc5 100755
--- a/tests/ut/python/ops/test_math_ops_check.py
+++ b/tests/ut/python/ops/test_math_ops_check.py
@@ -293,13 +293,6 @@ raise_set = [
         'desc_inputs': [5.0],
         'skip': ['backward']}),
 
-    # input x is Tensor(bool)
-    ('Pow1', {
-        'block': (P.Pow(),
-                  {'exception': TypeError, 'error_keywords': ['Pow']}),
-        'desc_inputs': [Tensor(np.ones([2, 3]).astype(np.bool_)), 2.0],
-        'skip': ['backward']}),
-
     # input is not Tensor
     ('Exp1', {
         'block': (P.Exp(),