【Bug fix】Fix dygraph double grad dtype error (#36125)

* fix dygraph double grad dtype error when calling for high differential senario

* reinvoke ci

* add test for partial_engine.cc

paddle/fluid/framework/operator.cc

@@ -1589,14 +1589,15 @@ void OperatorWithKernel::ParseInputDataType(
                 "not initialized.",
                 Type(), name, ctx.InputNames(name).at(i)));
         proto::VarType::Type tmp = t->type();
-        PADDLE_ENFORCE(
-            tmp == *data_type || *data_type == default_data_type,
-            platform::errors::InvalidArgument(
-                "The DataType of %s Op's duplicable Variable %s must be "
-                "consistent. The current variable type is (%s), but the "
-                "previous variable type is (%s).",
-                Type(), name, DataTypeToString(tmp),
-                DataTypeToString(*data_type)));
+        PADDLE_ENFORCE(tmp == *data_type || *data_type == default_data_type,
+                       platform::errors::InvalidArgument(
+                           "The DataType of %s Op's duplicable or different "
+                           "slot Variable %s must be "
+                           "consistent or reigster GetExpectedKernelType. The "
+                           "current variable type is (%s), but the "
+                           "previous variable type is (%s).",
+                           Type(), name, DataTypeToString(tmp),
+                           DataTypeToString(*data_type)));
         *data_type = tmp;
       }
     }

paddle/fluid/imperative/partial_grad_engine.cc

@@ -307,7 +307,15 @@ static void FillConstantLike(const VariableWrapper &ref_var,
   auto *dst_tensor = dst_var->MutableVar()->GetMutable<framework::LoDTensor>();
   auto *dev_ctx = platform::DeviceContextPool::Instance().Get(place);
   dst_tensor->Resize(ref_tensor.dims());
-  dst_tensor->mutable_data(place, ref_var.DataType());
+  // TOOD(jiabin): Ugly fix here we have fwd_data_type_ and data_type, since in
+  // grad mission
+  // we can't get data_type_ directly. We need to check if we can only use
+  // default data_type for now.
+  if (ref_var.ForwardDataType() != -1) {
+    dst_tensor->mutable_data(place, ref_var.ForwardDataType());
+  } else {
+    dst_tensor->mutable_data(place, ref_var.DataType());
+  }
   operators::math::set_constant(*dev_ctx, dst_tensor, value);
 }
 

paddle/fluid/imperative/variable_wrapper.h

@@ -162,6 +162,7 @@ class VariableWrapper {
       return tensor->type();
     } else {
       VLOG(6) << "The tensor of variable " << name_ << " is not initialized";
+
       return data_type_;
     }
   }

python/paddle/fluid/tests/unittests/autograd/test_jacobian.py

@@ -215,10 +215,6 @@ class TestJacobianFloat64(TestJacobian):
         self.x = paddle.rand(shape=self.shape, dtype=self.dtype)
         self.y = paddle.rand(shape=self.shape, dtype=self.dtype)
 
-    # NOTE(levi): skip this test case temporaryly.
-    def test_create_graph_true(self):
-        pass
-
 
 if __name__ == "__main__":
     unittest.main()