issue with tensorflow - Githubissues

Hi,

I installed deepconsensus[cpu]=1.2.0 using pip within a conda environment (I do not have sudo privalages to be able to install from the source).

I installed using: "conda install deepconsensus[cpu]=1.2.0 python==3.9" to get around the installation error described in issue https://github.com/google/deepconsensus/issues/69

The installation worked correctly but when I run deepconsenesus, I get the following issue:

2024-04-16 13:26:55.972174: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0. 2024-04-16 13:26:56.053962: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2024-04-16 13:26:56.722497: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2024-04-16 13:26:56.727045: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-04-16 13:26:59.776981: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT /data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/tensorflow_addons/utils/tfa_eol_msg.py:23: UserWarning:

TensorFlow Addons (TFA) has ended development and introduction of new features. TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024. Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP).

For more information see: https://github.com/tensorflow/addons/issues/2807

warnings.warn( Traceback (most recent call last): File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/bin/deepconsensus", line 8, in sys.exit(run()) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/cli.py", line 118, in run app.run(main, flags_parser=parse_flags) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/cli.py", line 103, in main app.run(quick_inference.main, argv=passed) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 977, in main outcome_counter = run() File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 803, in run params = model_utils.read_params_from_json(checkpoint_path=FLAGS.checkpoint) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/models/model_utils.py", line 444, in read_params_from_json json.load(tf.io.gfile.GFile(json_path, 'r')) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/json/init.py", line 293, in load return loads(fp.read(), File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/tensorflow/python/lib/io/file_io.py", line 116, in read self._preread_check() File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/tensorflow/python/lib/io/file_io.py", line 77, in _preread_check self._read_buf = _pywrap_file_io.BufferedInputStream( tensorflow.python.framework.errors_impl.NotFoundError: model/params.json; No such file or directory

I tried to update tensorflow to version 2.13.0 but that didnt fix the problem. I googled a lot and it seems to be a common problem but I could not find any solution so far.

Any help getting this problem solved would be great.

Hi @corkdagga , from the log above, it seems like you might not have this file:

self._read_buf = _pywrap_file_io.BufferedInputStream( tensorflow.python.framework.errors_impl.NotFoundError: model/params.json; No such file or directory

Can you first check that you have that file or not?

Hi Pichuan,

Sorry, I dont have so much bioinformatics experience. Could you please let me know where I might be able to find the file?

Hi @corkdagga , Have you followed the steps on https://github.com/google/deepconsensus/blob/r1.2/docs/quick_start.md ?

This section has the path of the model, including that file: https://github.com/google/deepconsensus/blob/r1.2/docs/quick_start.md#download-example-data

Let me know if that works!

Hi @pichuan,

In the 'Quick Start for DeepConsensus' document I followed the steps provided for how to run the ccs and actc. I am unable to use Docker so I did not follow these steps. I installed DeepConcensus, ccs and actc independently and ran both tools independently using the settings provided in the 'Quick Start for DeepConsensus' to generate the files needed. I am running on a HPC and Docker is not available as a module, so I do not think its possible for me to install.

I am unsure how I can follow the rest of the steps without Docker...

For the model: I was able to follow the steps and I have the model now downloaded, but I am unsure how to get DeepConcensus to find it. Where should I place the following folders:

n1000.subreads.bam model/checkpoint.data-00000-of-00001 model/checkpoint.index model/params.json

Hi @corkdagga , In this step: https://github.com/google/deepconsensus/blob/r1.2/docs/quick_start.md#run-deepconsensus

It shows that you can use:

  --checkpoint=model/checkpoint \

Let me know if that works for you.

Hi again @pichuan

I made some progress but it was still unsusccessful. I used the following command and below is the result. The text was way too large to copy all, so I just copied the last page of text:

srun deepconsensus run --subreads_to_ccs=PD049.CCS.actc.bam --ccs_bam=m54089_200615_125054.CCS.bam --checkpoint=/data/horse/ws/pada358b-genome_assembly/DC_model/model/checkpoint.index --output=PD049pacbio.output_DC.fastq

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array([[ 0.01415678, -0.03605887, 0.03162613, ..., -0.03945763, -0.0073288 , 0.03972591], [ 0.02551332, 0.00799932, 0.05006762, ..., 0.02487199, 0.04509846, 0.02466176], [ 0.00373553, -0.04407531, 0.01345216, ..., -0.01362591, 0.02301843, -0.01835387], ..., [ 0.0322591 , 0.00598079, 0.03762009, ..., -0.03224697, 0.04059494, 0.00033377], [-0.00664014, 0.00708507, -0.04877863, ..., 0.0017563 , 0.01244135, 0.02614061], [-0.03656027, 0.04186665, -0.03868963, ..., 0.03929602, -0.04559483, -0.04399271]], dtype=float32)>: ['encoder_only_learned_values_transformer/Transformer/encode/encoder_stack/layer_4/ffn/pre_post_processing_wrapper_9/feed_forward_network_4/filter_layer/kernel'] <tf.Variable 'encoder_only_learned_values_transformer/Transformer/encode/encoder_stack/layer_4/ffn/pre_post_processing_wrapper_9/feed_forward_network_4/filter_layer/bias:0' shape=(2048,) dtype=float32, numpy=array([0., 0., 0., ..., 0., 0., 0.], dtype=float32)>: ['encoder_only_learned_values_transformer/Transformer/encode/encoder_stack/layer_4/ffn/pre_post_processing_wrapper_9/feed_forward_network_4/filter_layer/bias'] <tf.Variable 'encoder_only_learned_values_transformer/Transformer/encode/encoder_stack/layer_4/ffn/pre_post_processing_wrapper_9/feed_forward_network_4/output_layer/kernel:0' shape=(2048, 280) dtype=float32, numpy= array([[ 2.3738377e-02, 1.6624801e-02, -6.6365153e-03, ..., -3.4411326e-02, -3.7041619e-02, -5.0726425e-02], [ 9.1396198e-03, -8.4491409e-03, -3.7688024e-02, ..., 2.4418816e-02, -2.3622457e-02, -2.4965273e-02], [-3.1535979e-02, 2.9537365e-02, 3.0608639e-02, ..., 1.1284884e-02, 3.5906903e-02, -8.8443719e-03], ..., [ 4.3789275e-02, 1.9220598e-03, 2.7374551e-02, ..., 2.6777297e-02, 1.8576272e-02, 9.0695880e-03], [-3.4050934e-02, -1.3096701e-02, 1.8710926e-02, ..., -3.8043298e-03, 1.2257956e-03, -4.1745387e-02], [-1.6838312e-06, 5.3003207e-03, -2.6208920e-02, ..., 3.8072430e-02, -1.5364058e-02, 2.3037903e-03]], dtype=float32)>: ['encoder_only_learned_values_transformer/Transformer/encode/encoder_stack/layer_4/ffn/pre_post_processing_wrapper_9/feed_forward_network_4/output_layer/kernel'] <tf.Variable 'encoder_only_learned_values_transformer/Transformer/encode/encoder_stack/layer_4/ffn/pre_post_processing_wrapper_9/feed_forward_network_4/output_layer/bias:0' shape=(280,) dtype=float32, numpy= array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)>: ['encoder_only_learned_values_transformer/Transformer/encode/encoder_stack/layer_4/ffn/pre_post_processing_wrapper_9/feed_forward_network_4/output_layer/bias'] srun: error: n1491: task 0: Exited with exit code 1

Hi @corkdagga ,

In your update, you said you used --checkpoint=/data/horse/ws/pada358b-genome_assembly/DC_model/model/checkpoint.index

Can you try only use the prefix like the https://github.com/google/deepconsensus/blob/r1.2/docs/quick_start.md#run-deepconsensus suggested. So: --checkpoint=/data/horse/ws/pada358b-genome_assembly/DC_model/model/checkpoint

I don't think it would work if you pass in the index.

Thanks!

Hi @pichuan

Deepconsensus was running for a while successfully but unfortunately the following error appeared:

I0503 10:20:37.394586 140737354053440 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.321 seconds I0503 10:20:37.467836 140737354053440 quick_inference.py:931] Processed 47000 ZMWs in 2796.068 seconds I0503 10:20:42.877036 140737354053440 quick_inference.py:693] Example summary: ran model=30 (4.73%; 0.168s) skip=604 (95.27%; 0.033s) total=634. I0503 10:20:42.886625 140737354053440 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.193 seconds I0503 10:20:42.926704 140737354053440 quick_inference.py:931] Processed 47100 ZMWs in 2801.527 seconds I0503 10:20:48.733838 140737354053440 quick_inference.py:693] Example summary: ran model=117 (18.34%; 0.406s) skip=521 (81.66%; 0.030s) total=638. I0503 10:20:48.742551 140737354053440 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.441 seconds I0503 10:20:48.783353 140737354053440 quick_inference.py:931] Processed 47200 ZMWs in 2807.384 seconds Traceback (most recent call last): File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/bin/deepconsensus", line 8, in sys.exit(run()) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/cli.py", line 118, in run app.run(main, flags_parser=parse_flags) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/cli.py", line 103, in main app.run(quick_inference.main, argv=passed) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 977, in main outcome_counter = run() File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 912, in run for zmw, subreads, dc_config, window_widths in input_file_generator: File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 480, in stream_bam for input_data in proc_feeder(): File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/preprocess/pre_lib.py", line 1309, in proc_feeder for read_set in subread_grouper: File "/data/horse/ws/pada358b-genome_assembly/conda/envs/DCpy39/lib/python3.9/site-packages/deepconsensus/preprocess/pre_lib.py", line 73, in next read = next(self.bam_reader) File "pysam/libcalignmentfile.pyx", line 1876, in pysam.libcalignmentfile.AlignmentFile.next OSError: error -3 while reading file srun: error: n1555: task 0: Exited with exit code 1

Hi again @pichuan

A small update regarding the message above.

I reinstalled deepconensus locally on a new computer with GPU. I installed it using pip [gpu=1.2.0] and everything seemed to go ok (I did however have difficulty installing with docker).

Anyway, it installed correctly with pip and I again ran Deepconcensus on the same data as previously. However, I again received an error at exactly the same position as last time - after processing 47200 ZMWs. Therefore I have a feeling it is most likely an error with my input files? Do you agree and do you know how I could check, then fix that? Below is a portion of the output for the new run.

Thanks!

I0507 08:57:24.521475 128752640931648 quick_inference.py:693] Example summary: ran model=53 (8.48%; 0.150s) skip=572 (91.52%; 0.047s) total=625. I0507 08:57:24.533131 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.262 seconds I0507 08:57:24.570044 128752640931648 quick_inference.py:931] Processed 46100 ZMWs in 2692.503 seconds I0507 08:57:30.603274 128752640931648 quick_inference.py:693] Example summary: ran model=80 (12.58%; 0.224s) skip=556 (87.42%; 0.091s) total=636. I0507 08:57:30.621727 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.502 seconds I0507 08:57:30.665697 128752640931648 quick_inference.py:931] Processed 46200 ZMWs in 2698.599 seconds I0507 08:57:36.891413 128752640931648 quick_inference.py:693] Example summary: ran model=78 (11.42%; 0.224s) skip=605 (88.58%; 0.054s) total=683. I0507 08:57:36.908673 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.544 seconds I0507 08:57:36.957104 128752640931648 quick_inference.py:931] Processed 46300 ZMWs in 2704.890 seconds I0507 08:57:43.048226 128752640931648 quick_inference.py:693] Example summary: ran model=144 (21.69%; 0.258s) skip=520 (78.31%; 0.059s) total=664. I0507 08:57:43.059175 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.392 seconds I0507 08:57:43.107503 128752640931648 quick_inference.py:931] Processed 46400 ZMWs in 2711.041 seconds I0507 08:57:48.900568 128752640931648 quick_inference.py:693] Example summary: ran model=75 (11.65%; 0.237s) skip=569 (88.35%; 0.048s) total=644. I0507 08:57:48.911521 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.338 seconds I0507 08:57:48.953398 128752640931648 quick_inference.py:931] Processed 46500 ZMWs in 2716.886 seconds I0507 08:57:55.150791 128752640931648 quick_inference.py:693] Example summary: ran model=63 (10.77%; 0.163s) skip=522 (89.23%; 0.042s) total=585. I0507 08:57:55.160457 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.324 seconds I0507 08:57:55.208146 128752640931648 quick_inference.py:931] Processed 46600 ZMWs in 2723.141 seconds I0507 08:58:02.075521 128752640931648 quick_inference.py:693] Example summary: ran model=80 (12.12%; 0.264s) skip=580 (87.88%; 0.076s) total=660. I0507 08:58:02.086779 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.637 seconds I0507 08:58:02.146010 128752640931648 quick_inference.py:931] Processed 46700 ZMWs in 2730.079 seconds I0507 08:58:07.874739 128752640931648 quick_inference.py:693] Example summary: ran model=70 (11.25%; 0.184s) skip=552 (88.75%; 0.053s) total=622. I0507 08:58:07.886029 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.266 seconds I0507 08:58:07.928063 128752640931648 quick_inference.py:931] Processed 46800 ZMWs in 2735.861 seconds I0507 08:58:14.496442 128752640931648 quick_inference.py:693] Example summary: ran model=120 (17.14%; 0.284s) skip=580 (82.86%; 0.049s) total=700. I0507 08:58:14.508665 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.474 seconds I0507 08:58:14.554958 128752640931648 quick_inference.py:931] Processed 46900 ZMWs in 2742.488 seconds I0507 08:58:20.421319 128752640931648 quick_inference.py:693] Example summary: ran model=48 (7.78%; 0.175s) skip=569 (92.22%; 0.060s) total=617. I0507 08:58:20.439472 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.281 seconds I0507 08:58:20.486044 128752640931648 quick_inference.py:931] Processed 47000 ZMWs in 2748.419 seconds I0507 08:58:25.846841 128752640931648 quick_inference.py:693] Example summary: ran model=30 (4.73%; 0.131s) skip=604 (95.27%; 0.049s) total=634. I0507 08:58:25.857717 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.219 seconds I0507 08:58:25.896061 128752640931648 quick_inference.py:931] Processed 47100 ZMWs in 2753.829 seconds I0507 08:58:31.649722 128752640931648 quick_inference.py:693] Example summary: ran model=117 (18.34%; 0.252s) skip=521 (81.66%; 0.043s) total=638. I0507 08:58:31.660274 128752640931648 quick_inference.py:770] Processed a batch of 100 ZMWs in 1.349 seconds I0507 08:58:31.704504 128752640931648 quick_inference.py:931] Processed 47200 ZMWs in 2759.638 seconds Traceback (most recent call last): File "/home/gulderlab/miniconda3/envs/DC/bin/deepconsensus", line 8, in sys.exit(run()) File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/deepconsensus/cli.py", line 118, in run app.run(main, flags_parser=parse_flags) File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/deepconsensus/cli.py", line 103, in main app.run(quick_inference.main, argv=passed) File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/absl/app.py", line 312, in run _run_main(main, args) File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/absl/app.py", line 258, in _run_main sys.exit(main(argv)) File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 977, in main outcome_counter = run() File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 912, in run for zmw, subreads, dc_config, window_widths in input_file_generator: File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/deepconsensus/inference/quick_inference.py", line 480, in stream_bam for input_data in proc_feeder(): File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/deepconsensus/preprocess/pre_lib.py", line 1309, in proc_feeder for read_set in subread_grouper: File "/home/gulderlab/miniconda3/envs/DC/lib/python3.9/site-packages/deepconsensus/preprocess/pre_lib.py", line 73, in next read = next(self.bam_reader) File "pysam/libcalignmentfile.pyx", line 1876, in pysam.libcalignmentfile.AlignmentFile.next OSError: error -3 while reading file

Hi @pichuan,

Just wanted to check in and see if you had any potential ideas for the errors described above?

Hi @corkdagga , I agree that this looks more like some issue with your input file. Can you check your input file?

By the way, I can't remember - did you try going through Quick Start (using the inputs provided there) and confirm that your current setup works?

Hi @pichuan

I will have the check the file itself on the weekend (sorry) but I will get back to you about that.

To generate the files, I used the following commands based on the quick start:

srun ccs -j 12 --min-rq=0.88 m54089_200615_125054.subreads.bam PD049.CCS.bam

srun actc -j 12 m54089_200615_125054.subreads.bam PD049.CCS.bam PD049.CCS.actc.bam

and then run DeepConcensensus using the recommended input:

deepconsensus run \ --subreads_to_ccs=${shard_id}.subreads_to_ccs.bam \ --ccs_bam=${shard_id}.ccs.bam \ --checkpoint=model/checkpoint \

I am not performing any sharding, so for the --subreads_to_ccs= and --ccs_bam=${shard_id}.ccs.bam arguments I am using the ccs and actc files generated earlier.

Not sure if this information is helpful to see some kind of error I am making. Otherwise I will try check the file on the weekend and I will try and generate the ccs and actc files again, perhaps that helps.

Thanks!

Hi @pichuan

I have done some more work on the problem. I think my issues are with the starting files and not DeepConcensus. You can close the issue it you like. Thanks for all the help.

google / deepconsensus

issue with tensorflow #76