Hi there, I used the test data but something seems to be wrong. As you mentioned that the program takes about 1 minute. However, it didn't finished after running for one hour. Could you tell me what's wrong with my program? Here is my code.
Here is the log file1
WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
2024-05-15 10:56:52.418372: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer.
WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer.
WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer.
WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer.
2024-05-15 10:57:01.614202: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
Here is the log file2:
[2024-05-15 10:56:39][INFO][3851.node200] In prologue, JOB_ID is 3851.node200
[2024-05-15 10:56:39][INFO][3851.node200] In prologue, the pbs_server_name is tc6000.
[2024-05-15 10:35:20][INFO][3851.node200] ######################## Job 3851.node200 start to execute pre.sh! ##########################
[2024-05-15 10:35:20][INFO][3851.node200] Goldenable & storageenable both are false, job ran without making reserve!
Loading Models.
model directory /data2/Betula/software/DeepVirFinder/models
Encoding and Predicting Sequences.
processing line 1
processing line 1389
Hi there, I used the test data but something seems to be wrong. As you mentioned that the program takes about 1 minute. However, it didn't finished after running for one hour. Could you tell me what's wrong with my program? Here is my code.
!/bin/bash
source activate dvf cd /data2/Betula/software/DeepVirFinder python dvf.py -i /data2/Betula/virus/deepvirfinder/test1/crAssphage.fa -o /data2/Betula/virus/deepvirfinder/test1 -c 26 -l 1000
Here is the log file1 WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions. 2024-05-15 10:56:52.418372: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer. WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer. WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer. WARNING:tensorflow:Error in loading the saved optimizer state. As a result, your model is starting with a freshly initialized optimizer. 2024-05-15 10:57:01.614202: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
Here is the log file2: [2024-05-15 10:56:39][INFO][3851.node200] In prologue, JOB_ID is 3851.node200 [2024-05-15 10:56:39][INFO][3851.node200] In prologue, the pbs_server_name is tc6000. [2024-05-15 10:35:20][INFO][3851.node200] ######################## Job 3851.node200 start to execute pre.sh! ########################## [2024-05-15 10:35:20][INFO][3851.node200] Goldenable & storageenable both are false, job ran without making reserve!
Looking for your reply!