diff --git a/tf_adapter/util/acl_channel.cc b/tf_adapter/util/acl_channel.cc
index 17c7961411fe1a6bf3130103be35c54930d39fee..9fea516510b7624228952c89110049edf4a96c8d 100644
--- a/tf_adapter/util/acl_channel.cc
+++ b/tf_adapter/util/acl_channel.cc
@@ -235,7 +235,26 @@ Status SendTensorsByAcl(const acltdtChannelHandle *acl_handle, acltdtTensorType
   acltdtDataset *acl_dataset = nullptr;
   std::vector<std::unique_ptr<uint8_t[]>> buff_list;
   TF_RETURN_IF_ERROR(AssembleTensors2AclDataset(acl_type, tensors, &acl_dataset, buff_list));
-  const int32_t kTimeout = 3000;
+
+  ADP_LOG(ERROR) << "Tacl_type";
+  ADP_LOG(ERROR) << acl_type;
+  ADP_LOG(ERROR) << "&Ttensors2";
+  ADP_LOG(ERROR) << tensors.size();
+  
+
+  
+
+  ADP_LOG(ERROR) << "Tacl_dataset";
+  ADP_LOG(ERROR) << acl_dataset;
+  ADP_LOG(ERROR) << "&Tacl_dataset";
+  ADP_LOG(ERROR) << &acl_dataset;
+
+  for (size_t i = 0; i<tensors.size(); i++)
+  {
+      ADP_LOG(ERROR) << tensors[i].shape();
+  }
+
+  const int32_t kTimeout = 10000;
   auto acl_status = acltdtSendTensor(acl_handle, acl_dataset, kTimeout);
   TF_RETURN_IF_ERROR(DestroyAclDataset(acl_dataset));
   if (acl_status == ACL_ERROR_RT_QUEUE_FULL) {
@@ -249,6 +268,7 @@ Status SendTensorsByAcl(const acltdtChannelHandle *acl_handle, acltdtTensorType
                << "Error Message is " << std::endl << ge::GEGetErrorMsgV2().GetString();
     return errors::Internal("Acl send data failed, acl status:", acl_status);
   }
+  ADP_LOG(FATAL) << "BEGIN CALL ACL_SEND_DATAOK";
   return Status::OK();
 }