Modify english document and unittest of while_loop (#22615) (#22629)

cherry-pick #22615

python/paddle/fluid/layers/control_flow.py

@@ -929,16 +929,17 @@ def while_loop(cond, body, loop_vars, is_test=False, name=None):
     while_loop is one of the control flows. Repeats while_loop `body` until `cond` returns False.
 
     Args:
-        cond(Callable): A callable returning a boolean tensor controlling whether to continue looping.
-        body(Callable): A callable returning a tuple or list of tensors of the same arity (length and structure)
-            and types as ``loops_vars`` .
-        loop_vars(list|tuple): A list or tuple of tensors that is passed to both ``cond`` and ``body`` .
+        cond(Callable): A callable returning a boolean tensor controlling whether to continue looping. And ``cond`` takes
+	    as many arguments as ``loop_vars`` .
+        body(Callable): A callable returning a tuple or list of tensors or LoDTensorArrays of the same arity
+            (length and structure) and types as ``loops_vars`` . And ``body`` takes as many arguments as ``loop_vars`` .
+        loop_vars(list|tuple): A list or tuple of tensors or LoDTensorArrays that is passed to both ``cond`` and ``body`` .
         is_test(bool, optional): A flag indicating whether execution is in test phase. Default value is False.
         name(str, optional): Normally there is no need for users to set this property. For more information, please
             refer to :ref:`api_guide_Name`. Default is None.
     
     Returns:
-        A list or tuple of tensors which returned by ``body`` .
+        A list or tuple of tensors or LoDTensorArrays which returned by ``body`` .
     
     Returen type:
         list(Variable)|tuple(Variable).
@@ -951,6 +952,7 @@ def while_loop(cond, body, loop_vars, is_test=False, name=None):
         TypeError: If the type of ``cond`` returns is not a boolean variable.
         TypeError: If the shape of ``cond`` returns is not equals 1.
         ValueError: If the ``var_loops`` is empty.
+        ValueError: If the length or type of ``body`` returns is not same as ``loop_vars``.
 
     Examples:
         .. code-block:: python
@@ -958,11 +960,12 @@ def while_loop(cond, body, loop_vars, is_test=False, name=None):
             import paddle.fluid as fluid
             import paddle.fluid.layers as layers
 
-            def cond(i):
-                return layers.less_than(i, ten)
+            def cond(i, ten):
+                return i < ten
 
-            def body(i):
-                return layers.increment(x=i, value=1, in_place=True)
+            def body(i, ten):
+                i = i + 1
+                return [i, ten]
 
             main_program = fluid.default_main_program()
             startup_program = fluid.default_startup_program()
@@ -970,10 +973,10 @@ def while_loop(cond, body, loop_vars, is_test=False, name=None):
             with fluid.program_guard(main_program, startup_program):
                 i = layers.fill_constant(shape=[1], dtype='int64', value=0)     # loop counter
                 ten = layers.fill_constant(shape=[1], dtype='int64', value=10)  # loop length
-                out = layers.while_loop(cond, body, [i])
+                i, ten = layers.while_loop(cond, body, [i, ten])
                 
                 exe = fluid.Executor(fluid.CPUPlace())
-                res = exe.run(main_program, feed={}, fetch_list=out)
+                res = exe.run(main_program, feed={}, fetch_list=[i])
                 print(res) # [array([10])]
     """
     helper = LayerHelper('while_loop', **locals())
@@ -1000,11 +1003,13 @@ def while_loop(cond, body, loop_vars, is_test=False, name=None):
     while_loop_block = While(pre_cond, is_test, name)
     with while_loop_block.block():
         output_vars = body(*loop_vars)
+        if not isinstance(output_vars, (list, tuple)):
+            output_vars = [output_vars]
+        if len(output_vars) != len(loop_vars):
+            raise ValueError("body in while_loop should return the same arity "
+                             "(length and structure) and types as loop_vars")
+        now_cond = cond(*output_vars)
         map_structure(assign, output_vars, loop_vars)
-        if len(loop_vars) == 1:
-            now_cond = cond(output_vars)
-        else:
-            now_cond = cond(*output_vars)
         assign(now_cond, pre_cond)
     return loop_vars
 

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

@@ -311,9 +311,19 @@ class TestApiWhileLoop_Error(unittest.TestCase):
         def cond_returns_2d_tensor(i):
             return layers.less_than(i, ten_2d)
 
+        def cond_receives_two_args(i, ten):
+            return layers.less_than(i, ten)
+
         def body(i):
             return layers.increment(i)
 
+        def body_returns_error_length(i):
+            i = layers.increment(i)
+            return [i, i]
+
+        def body_returns_error_type(i, ten):
+            return layers.increment(i)
+
         main_program = Program()
         startup_program = Program()
         with program_guard(main_program, startup_program):
@@ -367,6 +377,20 @@ class TestApiWhileLoop_Error(unittest.TestCase):
 
             self.assertRaises(TypeError, type_error_shape_cond_returns_2d)
 
+            # The length of `body` returns in Op(while_loop) must be same as `loop_vars`
+            def value_error_body_returns_error_length():
+                out = layers.while_loop(cond_returns_bool_tensor,
+                                        body_returns_error_length, [data])
+
+            self.assertRaises(ValueError, value_error_body_returns_error_length)
+
+            # The type of `body` returns in Op(while_loop) must be same as `loop_vars`
+            def value_error_body_returns_error_type():
+                out = layers.while_loop(cond_receives_two_args,
+                                        body_returns_error_type, [data, ten])
+
+            self.assertRaises(ValueError, value_error_body_returns_error_type)
+
 
 if __name__ == '__main__':
     unittest.main()