forked from mindspore-Ecosystem/mindspore
enhance: add first push log info
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@ -38,7 +38,8 @@ DeviceQueueOp::DeviceQueueOp(std::string channel_name, DeviceType device_type, i
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send_finished_(false),
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total_batch_(total_batch),
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create_data_info_queue_(create_data_info_queue),
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data_info_queue_ptr_(nullptr) {
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data_info_queue_ptr_(nullptr),
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first_push_flag_(false) {
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#ifdef ENABLE_GPUQUE
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// Get the total device num of current machine
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int32_t device_count = 0;
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@ -172,6 +173,10 @@ Status DeviceQueueOp::SendDataToAscend() {
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md_channel_info_->RecordPushStartTime();
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#endif
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RETURN_IF_NOT_OK(SendRowToTdt(curr_row, isProfilingEnable, &tdt_cost));
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if (first_push_flag_ != true) {
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MS_LOG(INFO) << "Loading dataset and push first batch into device successful";
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first_push_flag_ = true;
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}
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ProfilingRecorder(isProfilingEnable, profiling_node, send_batch, tdt_cost, &batch_start_time, &end_time,
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connector_capacity, connector_size);
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send_batch++;
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@ -486,6 +491,10 @@ Status DeviceQueueOp::SendDataToGPU() {
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while (!current_row.eoe() && !is_break_loop && !GpuBufferMgr::GetInstance().IsClosed()) {
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RETURN_IF_NOT_OK(CheckExceptions(current_row));
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RETURN_IF_NOT_OK(receive_queues_[num_buf++ % num_workers_]->Add(std::move(current_row)));
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if (first_push_flag_ != true) {
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MS_LOG(INFO) << "Loading dataset and push first batch into device successful";
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first_push_flag_ = true;
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}
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if (!TaskManager::FindMe()->Interrupted() && !GpuBufferMgr::GetInstance().IsClosed()) {
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RETURN_IF_NOT_OK(child_iterator_->FetchNextTensorRow(¤t_row));
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} else {
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@ -238,6 +238,8 @@ class DeviceQueueOp : public PipelineOp {
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#ifdef ENABLE_TDTQUE
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std::shared_ptr<TdtPlugin> tdtInstancePtr;
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#endif
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bool first_push_flag_; // default: false, when first push, it will be true
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};
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} // namespace dataset
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} // namespace mindspore
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