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Hi
I tried to run, interactively, the cells in example/notebooks/basics/index.ipynb. I have a problem in training the CpG model. Here is the output:
#################################
dcpg_train.py ./data/c1_000000-001000.h5 --val_files ./data/c13_000000-001000.h5 --cpg_model RnnL1 --out_dir ./models/cpg --nb_epoch 1 --nb_train_sample 1000 --nb_val_sample 1000
#################################
Using TensorFlow backend.
INFO (2020-04-22 15:04:14,822): Building model ...
Replicate names:
BS27_1_SER, BS27_3_SER, BS27_5_SER, BS27_6_SER, BS27_8_SER
INFO (2020-04-22 15:04:14,834): Building CpG model ...
WARNING:tensorflow:From /tamir1/yoramzar/Projects/Models/NN/deepcpg/venv37/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
WARNING (2020-04-22 15:04:14,846): From /tamir1/yoramzar/Projects/Models/NN/deepcpg/venv37/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
Model: "RnnL1"
______________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
cpg/state (InputLayer) (None, 5, 50) 0
__________________________________________________________________________________________________
cpg/dist (InputLayer) (None, 5, 50) 0
__________________________________________________________________________________________________
cpg/concatenate_1 (Concatenate) (None, 5, 100) 0 cpg/state[0][0]
cpg/dist[0][0]
__________________________________________________________________________________________________
cpg/time_distributed_1 (TimeDis (None, 5, 256) 25856 cpg/concatenate_1[0][0]
__________________________________________________________________________________________________
cpg/bidirectional_1 (Bidirectio (None, 512) 787968 cpg/time_distributed_1[0][0]
__________________________________________________________________________________________________
cpg/dropout_1 (Dropout) (None, 512) 0 cpg/bidirectional_1[0][0]
__________________________________________________________________________________________________
cpg/BS27_1_SER (Dense) (None, 1) 513 cpg/dropout_1[0][0]
__________________________________________________________________________________________________
cpg/BS27_3_SER (Dense) (None, 1) 513 cpg/dropout_1[0][0]
__________________________________________________________________________________________________
cpg/BS27_5_SER (Dense) (None, 1) 513 cpg/dropout_1[0][0]
__________________________________________________________________________________________________
cpg/BS27_6_SER (Dense) (None, 1) 513 cpg/dropout_1[0][0]
__________________________________________________________________________________________________
cpg/BS27_8_SER (Dense) (None, 1) 513 cpg/dropout_1[0][0]
==================================================================================================
Total params: 816,389
Trainable params: 816,389
Non-trainable params: 0
__________________________________________________________________________________________________
INFO (2020-04-22 15:04:15,272): Computing output statistics ...
Output statistics:
name | nb_tot | nb_obs | frac_obs | mean | var
---------------------------------------------------------
cpg/BS27_1_SER | 1000 | 193 | 0.19 | 0.84 | 0.13
cpg/BS27_3_SER | 1000 | 209 | 0.21 | 0.77 | 0.18
cpg/BS27_5_SER | 1000 | 196 | 0.20 | 0.75 | 0.19
cpg/BS27_6_SER | 1000 | 203 | 0.20 | 0.62 | 0.24
cpg/BS27_8_SER | 1000 | 200 | 0.20 | 0.81 | 0.15
Class weights:
cpg/BS27_1_SER | cpg/BS27_3_SER | cpg/BS27_5_SER | cpg/BS27_6_SER | cpg/BS27_8_SER
----------------------------------------------------------------------------------
0=0.84 | 0=0.77 | 0=0.75 | 0=0.62 | 0=0.81
1=0.16 | 1=0.23 | 1=0.25 | 1=0.38 | 1=0.19
WARNING:tensorflow:From /tamir1/yoramzar/Projects/Models/NN/deepcpg/venv37/lib/python3.7/site-packages/tensorflow_core/python/ops/nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING (2020-04-22 15:04:15,502): From /tamir1/yoramzar/Projects/Models/NN/deepcpg/venv37/lib/python3.7/site-packages/tensorflow_core/python/ops/nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
INFO (2020-04-22 15:04:15,568): Loading data ...
INFO (2020-04-22 15:04:15,586): Initializing callbacks ...
INFO (2020-04-22 15:04:23,654): Training model ...
WARNING:tensorflow:From /tamir1/yoramzar/Projects/Models/NN/deepcpg/venv37/lib/python3.7/site-packages/tensorflow_core/python/ops/nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING (2020-04-22 15:04:15,502): From /tamir1/yoramzar/Projects/Models/NN/deepcpg/venv37/lib/python3.7/site-packages/tensorflow_core/python/ops/nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
INFO (2020-04-22 15:04:15,568): Loading data ...
INFO (2020-04-22 15:04:15,586): Initializing callbacks ...
INFO (2020-04-22 15:04:23,654): Training model ...
Training samples: 1000
Validation samples: 1000
WARNING:tensorflow:OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs.
WARNING (2020-04-22 15:04:24,831): OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs.
2020-04-22 15:04:24.831482: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2020-04-22 15:04:24.831508: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2020-04-22 15:04:24.831531: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (compute-0-254.power5): /proc/driver/nvidia/version does not exist
2020-04-22 15:04:24.831851: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2020-04-22 15:04:24.841381: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2600000000 Hz
cannot allocate memory for thread-local data: ABORT
cannot allocate memory for thread-local data: ABORT
: 127
Why is it pointing to libcuda? I am assuming this notebook act be run on a cpu, right?
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