Fix the assign data check (#20564)

* Fix the assign data check. test=develop

* Fix test_assign_op.py. test=develop

python/paddle/fluid/layers/tensor.py

@@ -455,12 +455,12 @@ def assign(input, output=None):
     helper = LayerHelper('assign', **locals())
     if isinstance(input, Variable):
         if convert_dtype(input.dtype) not in [
-                'float32', 'float64', 'int32', 'int64'
+                'float32', 'float64', 'int32', 'int64', 'bool'
         ]:
             raise TypeError(
                 "When the type of 'input' in assign is Variable, the data "
-                "type of 'input' must be float32, float64, int32 or int64, "
-                "but received %s." % convert_dtype(input.dtype))
+                "type of 'input' must be float32, float64, int32, int64 or "
+                "bool, but received %s." % convert_dtype(input.dtype))
         if output is None:
             output = helper.create_variable_for_type_inference(
                 dtype=input.dtype)

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

@@ -44,9 +44,7 @@ class TestAssignOpError(op_test.OpTest):
             x1 = fluid.create_lod_tensor(
                 np.array([[-1]]), [[1]], fluid.CPUPlace())
             self.assertRaises(TypeError, fluid.layers.assign, x1)
-            # When the type of input is Variable, the dtype of input must be float32, float64, int32, int64.
-            x2 = fluid.layers.data(name='x2', shape=[4], dtype="bool")
-            self.assertRaises(TypeError, fluid.layers.assign, x2)
+            # When the type of input is Variable, the dtype of input must be float32, float64, int32, int64, bool.
             x3 = fluid.layers.data(name='x3', shape=[4], dtype="float16")
             self.assertRaises(TypeError, fluid.layers.assign, x3)
             x4 = fluid.layers.data(name='x4', shape=[4], dtype="uint8")