tensorflowbutler
commented
6 years ago Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks. What is the top-level directory of the model you are using Have I written custom code OS Platform and Distribution TensorFlow installed from TensorFlow version Bazel version CUDA/cuDNN version GPU model and memory Exact command to reproduce
jixiaonanzhuaizhuai
MaggieLieu
wt-huang
When I use model faster-rcnn_nas with my own data for training, I get a error message (CUDA_VISIBLE_DEVICES=1 python3 model_main.py --logtostderr --pipeline_config_path=modelH/faster_rcnn_nas_coco.config --model_dir=modelH/train ):
Use object_detection/model_main.py. Traceback (most recent call last): File "legacy/train.py", line 184, in
tf.app.run()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 250, in new_func
return func(*args, **kwargs)
File "legacy/train.py", line 93, in main
FLAGS.pipeline_config_path)
File "/home/ubuntu/.local/lib/python3.5/site-packages/tensorflow/models-master/research/object_detection/utils/config_util.py", line 94, in get_configs_from_pipeline_file
text_format.Merge(proto_str, pipeline_config)
File "/home/ubuntu/.local/lib/python3.5/site-packages/google/protobuf/text_format.py", line 533, in Merge
descriptor_pool=descriptor_pool)
File "/home/ubuntu/.local/lib/python3.5/site-packages/google/protobuf/text_format.py", line 587, in MergeLines
return parser.MergeLines(lines, message)
File "/home/ubuntu/.local/lib/python3.5/site-packages/google/protobuf/text_format.py", line 620, in MergeLines
self._ParseOrMerge(lines, message)
File "/home/ubuntu/.local/lib/python3.5/site-packages/google/protobuf/text_format.py", line 635, in _ParseOrMerge
self._MergeField(tokenizer, message)
File "/home/ubuntu/.local/lib/python3.5/site-packages/google/protobuf/text_format.py", line 735, in _MergeField
merger(tokenizer, message, field)
File "/home/ubuntu/.local/lib/python3.5/site-packages/google/protobuf/text_format.py", line 823, in _MergeMessageField
self._MergeField(tokenizer, sub_message)
File "/home/ubuntu/.local/lib/python3.5/site-packages/google/protobuf/text_format.py", line 703, in _MergeField
(message_descriptor.full_name, name))
google.protobuf.text_format.ParseError: 143:1 : Message type "object_detection.protos.EvalConfig" has no field named "eval_input_reader".
my protoc --version : 3.5.1
my tensorflow : 1.6.0
my GUP : -----------------------------------------------------------------------------+ | NVIDIA-SMI 384.130 Driver Version: 384.130 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 108... Off | 00000000:02:00.0 On | N/A | | 51% 84C P2 156W / 250W | 10539MiB / 11170MiB | 95% Default | +-------------------------------+----------------------+----------------------+ | 1 GeForce GTX 108... Off | 00000000:03:00.0 Off | N/A | | 46% 68C P8 22W / 250W | 10786MiB / 11172MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 GeForce GTX 108... Off | 00000000:82:00.0 Off | N/A | | 62% 85C P2 102W / 250W | 10788MiB / 11172MiB | 91% Default | +-------------------------------+----------------------+----------------------+ | 3 GeForce GTX 108... Off | 00000000:83:00.0 Off | N/A | | 30% 49C P8 18W / 250W | 10592MiB / 11172MiB | 0% Default | +-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1574 G /usr/lib/xorg/Xorg 84MiB | | 0 28929 C python 10343MiB | | 0 37191 G compiz 95MiB | | 0 46611 G /opt/teamviewer/tv_bin/TeamViewer 11MiB | | 1 18207 C python3 10775MiB | | 2 20236 C python3 10775MiB | | 3 16837 C python 10579MiB | +----------------------------------------------------------------------------
Can you give me some solutions?