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Unfortunately, system qpeek command does not work. I made some changes and it work for me now (file is attached). Unpack and place the file to $HOME/bin directory and 'chmod +x qpeek' it. To call it instead of system qpeek, place the follow code at the beginning of $HOME/.bash_profile file:
# ========================================================================================= var_add_path(){ # Use var_add_path "VAR" "/path/to/smth" "s|e" # s - at the beginning; e - at the end # echo "Adding $2 to $1 at the <start|end> $3" tmp_var=$1 if [ -d "$2" ]; then if [[ ":${!tmp_var}:" != *":$2:"* ]]; then # For non-empty, only add if not already there if [[ "$3" == "s" ]]; then [[ -z "${!tmp_var}" ]] && export $1=$2 || export $1=$2:${!tmp_var} else [[ -z "${!tmp_var}" ]] && export $1=$2 || export $1=${!tmp_var}:$2 fi fi fi } # ========================================================================================= var_add_path "PATH" "$HOME/.local/bin" "s" var_add_path "PATH" "$HOME/bin" "s"
After that you can use qpeek as described:
32955@login-1:~/scripts$ qstat -n v-qsvr-1.aidevcloud: Req'd Req'd Elap Job ID Username Queue Jobname SessID NDS TSK Memory Time S Time ----------------------- ----------- -------- ---------------- ------ ----- ------ --------- --------- - --------- 445872.v-qsvr-1.aidevc u32955 batch tf_build_on_fpga 3105 1 2 -- 24:00:00 R 00:39:41 s001-n147/0-1
u32955@login-1:~/scripts$ ./qpeek -o 445872 Server: v-qsvr-1.aidevcloud Full Job ID: 445872.v-qsvr-1.aidevcloud Node: s001-n147 ######################################################################## # Date: Sat Dec 14 23:16:44 PST 2019 # Job ID: 445872.v-qsvr-1.aidevcloud # User: u32955 # Resources: neednodes=1:fpga_compile:ppn=2,nodes=1:fpga_compile:ppn=2,walltime=24:00:00 ######################################################################## Start compilation: Sun Dec 15 10:16:48 MSK 2019 Python version: 3.6.8 Python LIB path: /home/u32955/.local/lib/python3.6/site-packages Tensorflow release: master Bazel version: 1.1.0 Number of CPUs: 64 You have bazel 1.1.0 installed. Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details. --config=mkl # Build with MKL support. --config=monolithic # Config for mostly static monolithic build. --config=ngraph # Build with Intel nGraph support. --config=numa # Build with NUMA support. --config=dynamic_kernels # (Experimental) Build kernels into separate shared objects. --config=v2 # Build TensorFlow 2.x instead of 1.x. Preconfigured Bazel build configs to DISABLE default on features: --config=noaws # Disable AWS S3 filesystem support. --config=nogcp # Disable GCP support. --config=nohdfs # Disable HDFS support. --config=nonccl # Disable NVIDIA NCCL support. Configuration finished
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Thank you so much for sharing the information.
We appreciate the efforts you undertook voluntarily.
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