fix lod_reset check dtype (#24133)

test=develop

python/paddle/fluid/layers/nn.py

@@ -6263,8 +6263,7 @@ def lod_reset(x, y=None, target_lod=None):
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
     if y is not None:
         check_type(y, 'y', (Variable), 'lod_reset')
-        if y.lod_level == 0:
-            check_variable_and_dtype(y, 'y', ['int32'], 'lod_reset')
+        #TODO: check y.lod_level = 0 dtype
         helper.append_op(
             type="lod_reset", inputs={'X': x,
                                       'Y': y}, outputs={'Out': out})
@@ -6335,8 +6334,7 @@ def lod_append(x, level):
 
     if isinstance(level, Variable):
         inputs['Y'] = level
-        if level.lod_level == 0:
-            check_variable_and_dtype(level, 'level', ['int32'], 'lod_append')
+        #TODO: check y.lod_level = 0 dtype
     else:
         attrs['target_lod'] = level
     helper.append_op(

python/paddle/fluid/tests/unittests/test_lod_append_op.py

@@ -67,14 +67,6 @@ class TestLodAppendOpError(unittest.TestCase):
                 name='level3' + dtype, shape=[4], dtype='int32', lod_level=2)
             self.assertRaises(TypeError, fluid.layers.lod_append, x3, level3)
 
-        # Input(level) dtype must be int32 when lod_level=0
-        for dtype in ["bool", "float16", "float32", "float64", "int64"]:
-            x4 = fluid.layers.data(
-                name='x4' + dtype, shape=[4], dtype='float32')
-            level4 = fluid.layers.data(
-                name='level4_' + dtype, shape=[4], dtype=dtype, lod_level=0)
-            self.assertRaises(TypeError, fluid.layers.lod_append, x4, level4)
-
 
 if __name__ == "__main__":
     unittest.main()

python/paddle/fluid/tests/unittests/test_lod_reset_op.py

@@ -150,14 +150,6 @@ class TestLodResetOpError(unittest.TestCase):
                     name='y2' + dtype, shape=[4], dtype='int32', lod_level=2)
                 self.assertRaises(TypeError, fluid.layers.lod_reset, x2, y2)
 
-            # Input(y) dtype must be int32 when lod_level=0
-            for dtype in ["bool", "float16", "float32", "float64", "int64"]:
-                x3 = fluid.layers.data(
-                    name='x3' + dtype, shape=[4], dtype='float32')
-                y3 = fluid.layers.data(
-                    name='y3' + dtype, shape=[4], dtype=dtype, lod_level=0)
-                self.assertRaises(TypeError, fluid.layers.lod_reset, x3, y3)
-
 
 if __name__ == '__main__':
     unittest.main()