fix error in convert_dtype: ValueError->TypeError and polish message (#25788)

python/paddle/fluid/data_feeder.py

@@ -66,9 +66,9 @@ def convert_dtype(dtype):
             # may still be a long-lasting problem.
             return str(dtype)
 
-    raise ValueError(
+    raise TypeError(
         "dtype must be any of [bool, float16, float32, float64, int8, int16, "
-        "int32, int64, uint8]")
+        "int32, int64, uint8], but received %s" % dtype)
 
 
 def check_variable_and_dtype(input,

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

@@ -38,7 +38,7 @@ class TestCreateGlobalVarError(unittest.TestCase):
             def test_dtype():
                 fluid.layers.create_global_var([1, 2, 3], 2.0, np.complex128)
 
-            self.assertRaises(ValueError, test_dtype)
+            self.assertRaises(TypeError, test_dtype)
 
 
 if __name__ == '__main__':

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

@@ -297,7 +297,7 @@ class TestFillConstantOpError(unittest.TestCase):
             #for ci coverage
             x1 = fluid.layers.data(name='x1', shape=[1], dtype="int16")
             self.assertRaises(
-                ValueError,
+                TypeError,
                 fluid.layers.fill_constant,
                 shape=[1],
                 value=5,

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

@@ -81,7 +81,7 @@ class TestFullOpError(unittest.TestCase):
         with program_guard(Program(), Program()):
             #for ci coverage
             self.assertRaises(
-                ValueError, paddle.full, shape=[1], fill_value=5, dtype='uint4')
+                TypeError, paddle.full, shape=[1], fill_value=5, dtype='uint4')
 
             # The argument dtype of full must be one of bool, float16,
             #float32, float64, int32 or int64