nashid

# Sample PBS job script
#
# Copy this script, customize it and then submit it with the ``qsub''
# command. For example:
#
# cp pbs-template.sh myjob-pbs.sh
# {emacs|vi} myjob-pbs.sh
# qsub myjob-pbs.sh
#
# PBS directives are fully documented in the ``qsub'' man page. Directives

nashid

```
brew install git-lfs
git lfs install
git lfs track "*.png"
git lfs track path/to/some/folders/*
```

Make sure you commit the .gitattributes file.
git add .gitattributes && git commit -m "Add Git LFS attribute dot file" && git push

nashid

• Check GPU usage every 5s: watch -n5 nvidia-smi

Every 5.0s: nvidia-smi                                                                                                                                                                                                      Thu Feb 10 16:12:32 2022

Thu Feb 10 16:12:32 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.29.05    Driver Version: 495.29.05    CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |

nashid

var PUNCTUATION = "" +
"’'" +       // apostrophe
"()[]{}<>" + // brackets
":" +        // colon
"," +        // comma
"‒–—―" +     // dashes
"…" +        // ellipsis
"!" +        // exclamation mark
"." +        // full stop/period
"«»" +       // guillemets

nashid

Print without the first elemenet:

grep "type" * | awk '{for (i=2; i<NF; i++) printf $i " "; print $NF}' | grep "\"type\""

nashid

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

nashid

import dgl
import dgl.ops as ops
import numpy as np
import torch as th
import torch.nn as nn

class FFN(nn.Module):
    def __init__(self, d_feat, d_ffn, dropout=0.1):
        super().__init__()
        self.linear_0 = nn.Linear(d_feat, d_ffn)

nashid

import dgl
import dgl.ops as ops
import numpy as np
import torch as th
import torch.nn as nn

class FFN(nn.Module):
    def __init__(self, d_feat, d_ffn, dropout=0.1):
        super().__init__()
        self.linear_0 = nn.Linear(d_feat, d_ffn)

nashid

a

nashid

#! /bin/bash

directory=./no_string_change_data_36k
total_size=$(du -h "${directory}" | awk '{print $1}')
echo "DIR SIZE (TOTAL): $total_size"

echo "===================================="
echo "===================================="
echo "LARGEST 10 files:"
du -a "${directory}" | sort -n -r | head -n 10