Google Colab Setting - conda & terminal

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from IPython.core.display import display, HTML

display(HTML("<style>.container { width:100% !important; }</style>"))

View Source

Google Drive Mount¶

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from google.colab import drive
drive.mount('/content/drive')

Check GPU¶

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gpu_info = !nvidia-smi
gpu_info = '\n'.join(gpu_info)
if gpu_info.find('failed') >= 0:
  print('Not connected to a GPU')
else:
  print(gpu_info)

Sun Apr 24 03:06:53 2022       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |
| N/A   35C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Check Memory¶

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from psutil import virtual_memory
ram_gb = virtual_memory().total / 1e9
print('Your runtime has {:.1f} gigabytes of available RAM\n'.format(ram_gb))

if ram_gb < 20:
  print('Not using a high-RAM runtime')
else:
  print('You are using a high-RAM runtime!')

Your runtime has 13.6 gigabytes of available RAM

Not using a high-RAM runtime

Install Conda¶

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!pip install -q condacolab

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import condacolab
condacolab.install()

⏬ Downloading https://github.com/jaimergp/miniforge/releases/latest/download/Mambaforge-colab-Linux-x86_64.sh...
📦 Installing...
📌 Adjusting configuration...
🩹 Patching environment...
⏲ Done in 0:00:24
🔁 Restarting kernel...

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!conda --version

Install Xterm (Terminal)¶

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!pip install colab-xterm
%load_ext colabxterm
%xterm

Collecting colab-xterm
  Downloading colab_xterm-0.1.2-py3-none-any.whl (115 kB)
     |████████████████████████████████| 115 kB 34.8 MB/s 
Requirement already satisfied: ptyprocess~=0.7.0 in /usr/local/lib/python3.7/dist-packages (from colab-xterm) (0.7.0)
Requirement already satisfied: tornado>5.1 in /usr/local/lib/python3.7/dist-packages (from colab-xterm) (5.1.1)
Installing collected packages: colab-xterm
Successfully installed colab-xterm-0.1.2

Launching Xterm...

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