[英]caffe2 obtain learning rate: Can't find blob: gpu_0/conv1_w_lr
[英]tensorboard caffe2 can't find blob
我正在嘗試使用以下幾行使用 tensorboard writer 記錄一些值。 如果我留下評論部分的評論,那么代碼運行良好。 但是當我取消注釋時,我得到一個錯誤。 任何意見,將不勝感激。
if (tb_writer != None):
for key, value in qps.items():
tb_writer.add_scalar("QPv2_" + mode + "_Threshold_" + str(key), value, global_step)
# for annotation_idx in range(1, args.num_classes-1):
# annotation_class = annotation_classes[annotation_idx]
# for threshold_idx in range(len(annotation_thresholds)):
# threshold = annotation_thresholds[threshold_idx]
# tb_writer.add_scalar(annotation_class + "_Threshold_" + str(threshold) + "_Precision", str(precision[threshold_idx][annotation_idx].item()), global_step)
# tb_writer.add_scalar(annotation_class + "_Threshold_" + str(threshold) + "_Recall", str(recall[threshold_idx][annotation_idx].item()), global_step)
Traceback (most recent call last):
File "train_transformer_v5.py", line 782, in <module>
main()
File "train_transformer_v5.py", line 763, in main
global_step, tr_loss, metrics_result = trainer.train(args)
File "train_transformer_v5.py", line 451, in train
tb_writer=self.tb_writer, global_step=self.global_step)
File "/home/xianx/model/metrics_v5.py", line 606, in eval_metrics
tb_writer.add_scalar(annotation_class + "_Threshold_" + str(threshold) + "_Precision", str(precision[threshold_idx][annotation_idx].item()), global_step)
File "/opt/conda/lib/python3.6/site-packages/torch/utils/tensorboard/writer.py", line 348, in add_scalar
scalar_value = workspace.FetchBlob(scalar_value)
File "/opt/conda/lib/python3.6/site-packages/caffe2/python/workspace.py", line 379, in FetchBlob
result = C.fetch_blob(StringifyBlobName(name))
RuntimeError: [enforce fail at pybind_state.cc:221] ws->HasBlob(name). Can't find blob: 0.7158585786819458
我的問題是我在將值轉換為字符串時使用.add_scalar(...)
。 刪除該轉換解決了問題。
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