[MLU]fix sync_batch_norm and concat_grad op

paddle/fluid/operators/concat_op_mlu.cc

@@ -121,18 +121,23 @@ class ConcatGradMLUKernel : public framework::OpKernel<T> {
             out_grad->dims().size()));
     // get output tensor that the name is not kEmptyVarName
     std::vector<void*> outputs_vec;
+    std::vector<Tensor> tmp_outputs_vec;
     std::vector<MLUCnnlTensorDesc> output_descs;
     std::vector<cnnlTensorDescriptor_t> descs_vec;
     for (size_t j = 0; j < outs.size(); ++j) {
       if (out_var_names[j] != framework::kEmptyVarName &&
           outs[j]->numel() != 0UL) {
         outs[j]->mutable_data<T>(ctx.GetPlace());
         output_descs.emplace_back(MLUCnnlTensorDesc(*outs[j]));
-        descs_vec.push_back(output_descs.back().get());
         outputs_vec.push_back(GetBasePtr(outs[j]));
       } else {
-        outputs_vec.push_back(nullptr);
+        Tensor tmp_tensor;
+        tmp_tensor.mutable_data<T>(ins[j]->dims(), ctx.GetPlace());
+        tmp_outputs_vec.push_back(tmp_tensor);
+        output_descs.emplace_back(MLUCnnlTensorDesc(*ins[j]));
+        outputs_vec.push_back(GetBasePtr(&(tmp_outputs_vec.back())));
       }
+      descs_vec.push_back(output_descs.back().get());
     }
 
     MLUCnnlTensorDesc out_grad_desc(*out_grad);

paddle/fluid/operators/sync_batch_norm_op_mlu.cc

@@ -23,7 +23,9 @@ limitations under the Licnse. */
 namespace paddle {
 namespace operators {
 
+#define NO_USE_CNCL 0
 #define GET_LAYOUT_OFFSET 2
+
 using Tensor = framework::Tensor;
 static std::vector<cnnlTensorLayout_t> supported_input_layout = {
     CNNL_LAYOUT_NC, CNNL_LAYOUT_NLC, CNNL_LAYOUT_NHWC, CNNL_LAYOUT_NDHWC};
@@ -165,6 +167,7 @@ class SyncBatchNormMLUKernel : public framework::OpKernel<T> {
       Tensor mean_all(mean->dtype());
       Tensor invstd_all(variance->dtype());
 
+#ifdef PADDLE_WITH_CNCL
       auto &dev_ctx =
           ctx.template device_context<paddle::platform::MLUDeviceContext>();
       auto stream = dev_ctx.stream();
@@ -205,7 +208,9 @@ class SyncBatchNormMLUKernel : public framework::OpKernel<T> {
                                                  cncl_dtype,
                                                  comm,
                                                  stream));
-
+#else
+      if (NO_USE_CNCL) {
+#endif
       } else {
         count_all = input_count;
         mean_all.ShareDataWith(local_mean);
@@ -404,6 +409,7 @@ class SyncBatchNormMLUGradKernel : public framework::OpKernel<T> {
     FillMLUTensorWithHostValue<int32_t>(
         ctx, static_cast<int32_t>(x->numel() / C), &numel_count);
 
+#ifdef PADDLE_WITH_CNCL
     auto &dev_ctx =
         ctx.template device_context<paddle::platform::MLUDeviceContext>();
     auto stream = dev_ctx.stream();
@@ -440,6 +446,7 @@ class SyncBatchNormMLUGradKernel : public framework::OpKernel<T> {
                                                comm,
                                                stream));
     }
+#endif
 
     if (d_x) {
       MLUCnnlTensorDesc desc_count(numel_count);

python/paddle/fluid/tests/unittests/mlu/sync_batch_norm_op_mlu.py

@@ -35,9 +35,9 @@
 import paddle.fluid.layers as layers
 from functools import reduce
 from test_sync_batch_norm_base_mlu import TestSyncBatchNormRunnerBase, runtime_main
-from paddle.fluid.tests.unittests.op_test import OpTest, _set_use_system_allocator
+from op_test import OpTest, _set_use_system_allocator
 
-from paddle.fluid.tests.unittests.test_sync_batch_norm_op import create_or_get_tensor
+from test_sync_batch_norm_op import create_or_get_tensor
 
 _set_use_system_allocator(False)
 paddle.enable_static()

python/paddle/fluid/tests/unittests/mlu/test_sync_batch_norm_base_mlu.py

@@ -33,9 +33,9 @@
 from six import string_types
 import paddle
 
-from paddle.fluid.tests.unittests.op_test import OpTest, _set_use_system_allocator
+from op_test import OpTest, _set_use_system_allocator
 
-from paddle.fluid.tests.unittests.test_sync_batch_norm_op import create_or_get_tensor
+from test_sync_batch_norm_op import create_or_get_tensor
 
 _set_use_system_allocator(False)
 paddle.enable_static()

python/paddle/fluid/tests/unittests/mlu/test_sync_batch_norm_op_mlu.sh

@@ -0,0 +1,19 @@
+#!/bin/bash
+
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+set -e
+
+MLU_VISIBLE_DEVICES=0,1 python -m paddle.distributed.launch test_sync_batch_norm_op_mlu_baseline.py

python/paddle/fluid/tests/unittests/mlu/test_sync_batch_norm_op_mlu_baseline.py

@@ -20,7 +20,7 @@
 import sys
 
 sys.path.append("..")
-from paddle.fluid.tests.unittests.op_test import OpTest, _set_use_system_allocator
+from op_test import OpTest, _set_use_system_allocator
 
 from test_sync_batch_norm_base_mlu import TestDistBase
 

python/paddle/fluid/tests/unittests/mlu/test_sync_batch_norm_op_mlu_extra.py

@@ -29,8 +29,9 @@
 import paddle.nn as nn
 from paddle.fluid import Program, program_guard
 
-from paddle.fluid.tests.unittests.op_test import OpTest, _set_use_system_allocator
-from paddle.fluid.tests.unittests.test_dist_base import TestDistBase
+sys.path.append("..")
+from op_test import OpTest, _set_use_system_allocator
+from test_dist_base import TestDistBase
 
 paddle.enable_static()