rem cncl in ut & build sh (#52811)

* rem cncl in new test

* rem cncl in build sh

* rem cncl in old test

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

@@ -704,7 +704,6 @@ class TestParallelDyGraphRunnerBase:
                 args.update_method == "nccl2"
                 or args.update_method == "bkcl"
                 or args.update_method == "hccl"
-                or args.update_method == "cncl"
             ):
                 strategy = paddle.distributed.parallel.ParallelStrategy()
                 strategy.nranks = nranks
@@ -862,7 +861,6 @@ def runtime_main(test_class):
             "nccl2_reduce_layer",
             "gloo",
             "hccl",
-            "cncl",
         ],
     )
     parser.add_argument('--trainer_id', type=int, required=False, default=0)
@@ -971,7 +969,6 @@ class TestDistBase(unittest.TestCase):
         self._bkcl_mode = False
         self._gloo_mode = False  # now, support gloo backend
         self._hccl_mode = False
-        self._cncl_mode = False
         self._pipeline_mode = False
         self._mp_mode = False
         self._diff_batch = False
@@ -1778,14 +1775,6 @@ class TestDistBase(unittest.TestCase):
                 check_error_log=check_error_log,
                 log_name=log_name,
             )
-        elif self._cncl_mode:
-            tr0_losses, tr1_losses = self._run_cluster_nccl2(
-                model_file,
-                required_envs,
-                update_method='cncl',
-                check_error_log=check_error_log,
-                log_name=log_name,
-            )
         elif self._pipeline_mode:
             tr0_losses, tr1_losses = self._run_pipeline(
                 model_file, required_envs, check_error_log, log_name=log_name

test/cpp/imperative/CMakeLists.txt

@@ -93,8 +93,7 @@ cc_test(
   DEPS tracer layer prepared_operator mul_op)
 if(WITH_NCCL
    OR WITH_RCCL
-   OR WITH_XPU_BKCL
-   OR WITH_CNCL)
+   OR WITH_XPU_BKCL)
   cc_test(
     test_group
     SRCS test_group.cc

test/cpp/imperative/test_group.cc

@@ -77,8 +77,7 @@ void GroupConcatSplit(Place place, size_t size) {
     }
 
     if (std::is_same<Place, platform::CUDAPlace>::value) {
-#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL) || \
-    defined(PADDLE_WITH_CNCL)
+#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
       paddle::memory::Copy(
           place, data, cpu_place, value.data(), sizeof(T) * value.size(), 0);
 #endif