!1762 support auto cast bool scalar and tensor to number tensor

Merge pull request !1762 from zhangbuxue/support_convert_bool_scalar_and_tensor_to_number_tensor

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);
   }
 }

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():

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(),