fix too-many-function-args-1 (#33398)

paddle/fluid/inference/tests/api/full_ILSVRC2012_val_preprocess.py

@@ -167,8 +167,8 @@ def run_convert():
                os.path.getsize(output_file) == FULL_SIZE_BYTES):
         if os.path.exists(output_file):
             sys.stderr.write(
-                "\n\nThe existing binary file is broken. Start to generate new one...\n\n"
-            )
+                "\n\nThe existing binary file[{}] is broken. Start to generate new one...\n\n".
+                format(output_file))
             os.remove(output_file)
         if retry < try_limit:
             retry = retry + 1

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

@@ -133,7 +133,7 @@ class TestGradientClip(unittest.TestCase):
         print(val)
         self.assertFalse(np.isnan(val))
 
-    def backward_and_optimize(cost):
+    def backward_and_optimize(self, cost):
         pass
 
 

python/paddle/fluid/transpiler/collective.py

@@ -434,9 +434,10 @@ class MultiThread(GradAllReduce):
             print("total endpoints: ", self.endpoints)
             print("rank: %d, ring_id: %d" % (self.rank, self.nrings))
             for ring_id in range(self.nrings):
-                self._init_communicator(
-                    self.startup_program, self.current_endpoint, self.endpoints,
-                    self.rank, ring_id, self.wait_port, True)
+                self._init_communicator(self.startup_program,
+                                        self.current_endpoint, self.endpoints,
+                                        self.rank, ring_id, self.wait_port)
+
         else:
             print("begin to _transpile_startup_program for single-node")
             block = self.startup_program.global_block()