I am getting an issue regarding memory, how to solve this ?
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Description
(deepbgc) [devaraja@rocket ~]$ deepbgc pipeline deepbgc/deepbgc-0.1-3.29/test/data/BGC0000015.fa
_____ ____ ____ ____
| _ \ ___ ___ ____ | __ ) / ___) / ___)
| | \ \/ _ \/ _ \ _ \| _ \ | | _ | |
| |_/ / __/ __/ |_) | |_) || |_| || |___
|____/ \___|\___| ___/|____/ \____| \____)
=================|_|===== version 0.1.29 =====
INFO 20/03 11:17:39 Loading model from: /gpfs/space/home/devaraja/.local/share/deepbgc/data/0.1.0/detector/deepbgc.pkl
Using TensorFlow backend.
WARNING 20/03 11:17:45 From /gpfs/space/home/devaraja/.conda/envs/deepbgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING 20/03 11:17:45 From /gpfs/space/home/devaraja/.conda/envs/deepbgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING 20/03 11:17:45 From /gpfs/space/home/devaraja/.conda/envs/deepbgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
WARNING 20/03 11:17:45 From /gpfs/space/home/devaraja/.conda/envs/deepbgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.
WARNING 20/03 11:17:45 From /gpfs/space/home/devaraja/.conda/envs/deepbgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
WARNING 20/03 11:17:46 From /gpfs/space/home/devaraja/.conda/envs/deepbgc/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
terminate called after throwing an instance of 'std::system_error'
what(): Resource temporarily unavailable
Aborted
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Research direction
Reproduce the failure with the shown `deepbgc pipeline deepbgc/deepbgc-0.1-3.29/test/data/BGC0000015.fa` command and inspect the `Resource temporarily unavailable` error after TensorFlow/Keras initialization. The issue names no source file or test and does not define a fix, so completion would require identifying the resource cause and agreeing on the expected resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100