remove debug code (PaddlePaddle#21)

* search and fill slot_feature * search and fill slot_feature, fix compile error * search and fill slot_feature, rename 8 as slot_num_ * remove debug code Co-authored-by: root <[email protected]>
DesmonDay · Jun 8, 2022 · 8c65693 · 8c65693
1 parent 1816fc2
commit 8c65693
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diff --git a/paddle/fluid/framework/data_feed.cu b/paddle/fluid/framework/data_feed.cu
@@ -26,8 +26,6 @@ limitations under the License. */
 #include "paddle/fluid/framework/fleet/heter_ps/gpu_graph_node.h"
 #include "paddle/fluid/framework/fleet/heter_ps/graph_gpu_wrapper.h"
 
-DECLARE_int32(batch_num);
-
 namespace paddle {
 namespace framework {
 
@@ -349,15 +347,7 @@ int GraphDataGenerator::FillInsBuf() {
 }
 
 
-int times = 0;
 int GraphDataGenerator::GenerateBatch() {
-  times += 1;
-  VLOG(0) << "Begin batch " << times;
-  if (times > FLAGS_batch_num) {
-      VLOG(0) << "close batch";
-      return 0;
-  }
-
   platform::CUDADeviceGuard guard(gpuid_);
   int res = 0;
   while (ins_buf_pair_len_ < batch_size_) {

diff --git a/paddle/fluid/platform/flags.cc b/paddle/fluid/platform/flags.cc
@@ -88,25 +88,6 @@ PADDLE_DEFINE_EXPORTED_bool(
     "input and output must be half precision) and recurrent neural networks "
     "(RNNs).");
 
-/**
- * CUDA related FLAG
- * Name: FLAGS_selected_gpus
- * Since Version: 1.3.0
- * Value Range: integer list separated by comma, default empty list
- * Example: FLAGS_selected_gpus=0,1,2,3,4,5,6,7 to train or predict with 0~7 gpu
- * cards
- * Note: A list of device ids separated by comma, like: 0,1,2,3
- */
-PADDLE_DEFINE_EXPORTED_int32(
-    batch_num, 0,
-    "A list of device ids separated by comma, like: 0,1,2,3. "
-    "This option is useful when doing multi process training and "
-    "each process have only one device (GPU). If you want to use "
-    "all visible devices, set this to empty string. NOTE: the "
-    "reason of doing this is that we want to use P2P communication"
-    "between GPU devices, use CUDA_VISIBLE_DEVICES can only use"
-    "share-memory only.");
-
 /**
  * CUDA related FLAG
  * Name: FLAGS_selected_gpus