tensorflow / tensorflow/models
trainning mistake about ssd_mobilenet_v1_fpn_shared_box_predictor_640x640_coco14_sync.config
@pkulzc is already working on this.
Since May 14, 2020.
- Dominant language
- Python
- Stars
- 77.7k
- Forks
- 44.8k
- PR merge metrics
- No merged PRs in 30d
Description
env: tf1.15.0
when i trained self-data
it showed these:
2020-03-04 23:35:45.814879: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1384 MB memory) -> physical GPU (device: 0, name: GeForce 940MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
INFO:tensorflow:Running local_init_op.
I0304 23:35:47.901240 16708 session_manager.py:500] Running local_init_op.
INFO:tensorflow:Done running local_init_op.
I0304 23:35:48.229287 16708 session_manager.py:502] Done running local_init_op.
INFO:tensorflow:Saving checkpoints for 0 into C:\Users\pc\AppData\Local\Temp\tmpi_6fes0s\model.ckpt.
I0304 23:36:12.552839 16708 basic_session_run_hooks.py:606] Saving checkpoints for 0 into C:\Users\pc\AppData\Local\Temp\tmpi_6fes0s\model.ckpt.
2020-03-04 23:36:30.669752: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll
Fatal Python error: Aborted
Thread 0x00003b18 (most recent call first):
File "E:\Python\Anaconda\envs\tensorflow-gpu\lib\threading.py", line 296 in wait
File "E:\Python\Anaconda\envs\tensorflow-gpu\lib\queue.py", line 170 in get
File "E:\Python\Anaconda\envs\tensorflow-gpu\lib\site-packages\tensorflow_core\python\summary\writer\event_file_writer.py", line 159 in run
File "E:\Python\Anaconda\envs\tensorflow-gpu\lib\threading.py", line 926 in _bootstrap_inner
File "E:\Python\Anacon
how can i solve it
thank you very much
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.