setup.sh for VM setup

AugmentedNet/texturizers.py

@@ -1,6 +1,8 @@
 """Templates for texturizing annotation files and turn them into scores."""
 
 import random
+from music21 import note
+from music21 import interval
 
 
 class TextureTemplate(object):
@@ -218,6 +220,36 @@ def templateSeventh(self):
 """
 
 
+class AuxiliaryNotes(TextureTemplate):
+    """A syncopated pattern to separate the upper voice from the rest.
+
+    TODO: Add details"""
+
+    supported_durations = [1.0, 2.0]
+
+    def templateTriad(self):
+        transposed_note = note.Note(self.notes[2]).transpose(-1)
+        transposed_name = transposed_note.nameWithOctave
+        transposed_interval = interval.Interval(noteStart=note.Note(self.notes[0]), noteEnd=transposed_note).name
+        dur = self.duration / 4
+        return f"""\
+0.0,{dur},,"['{self.notes[0]}', '{self.notes[1]}', '{self.notes[2]}']","['{self.intervals[0]}', '{self.intervals[1]}']","[True, True, True]"
+{dur},{dur},,"['{self.notes[0]}', '{self.notes[1]}', '{transposed_name}']","['{self.intervals[0]}', '{transposed_interval}']","[False, False, True]"
+{dur*2},{dur*2},,"['{self.notes[0]}', '{self.notes[1]}', '{self.notes[2]}']","['{self.intervals[0]}', '{self.intervals[1]}']","[False, False, True]"
+"""
+
+    def templateSeventh(self):
+        transposed_note = note.Note(self.notes[3]).transpose(-1)
+        transposed_name = transposed_note.nameWithOctave
+        transposed_interval = interval.Interval(noteStart=note.Note(self.notes[0]), noteEnd=transposed_note).name
+        dur = self.duration / 4
+        return f"""\
+0.0,{dur},,"['{self.notes[0]}', '{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[0]}', '{self.intervals[1]}', '{self.intervals[2]}']","[True, True, True, True]"
+{dur},{dur},,"['{self.notes[0]}', '{self.notes[1]}', '{self.notes[2]}', '{transposed_name}']","['{self.intervals[0]}', '{self.intervals[1]}', '{transposed_interval}']","[False, False, False, True]"
+{dur*2},{dur*2},,"['{self.notes[0]}', '{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[0]}', '{self.intervals[1]}', '{self.intervals[2]}']","[False, False, False, True]"
+"""
+
+
 class BlockChord(TextureTemplate):
     """A block-chord texture. The default texture in music21-generated scores."""
 
@@ -235,10 +267,11 @@ def templateSeventh(self):
 
 
 available_templates = {
-    "BassSplit": BassSplit,
-    "Alberti": Alberti,
-    "Syncopation": Syncopation,
+    # "BassSplit": BassSplit,
+    # "Alberti": Alberti,
+    # "Syncopation": Syncopation,
     "BlockChord": BlockChord,
+    "AuxiliaryNotes": AuxiliaryNotes,
 }
 
 available_durations = list(

README.md

@@ -244,3 +244,14 @@ These are the results for the best AugmentedNet configuration (11+) against othe
 | BPS                     | BPS          | CS18         | 66.7                           | 51.8                  | 60.6                  | 59.1                  | -                     | -                     | 25.7                           | -                     |
 
 **[Visualize experiments in TensorBoard.dev!](https://tensorboard.dev/experiment/fXVA71nWTkSZh6CqTXCeCw/#scalars)**
+
+## How to run on Google Cloud VM
+
+1. `wget https://github.com/Alicelavander/AugmentedNet/raw/setup/setup-cuda.sh`
+2. `chmod +x setup-cuda.sh`
+3. `sudo ./setup-cuda.sh`
+4. `./setup-augmentednet.sh`
+5. `sudo shutdown -r now`
+6. `cd AugmentedNet`
+7. `conda create -n aha python=3.8`
+8. `conda activate aha`

setup-augmentednet.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+
+#setup ssh for GitHub
+#cd $HOME/.ssh
+#ssh-keygen -t rsa
+#cat id_rsa.pub
+#ssh -T git@github.com
+
+#setup AugmentedNet
+#git clone --recursive git@github.com:Alicelavander/AugmentedNet.git
+wget https://github.com/napulen/AugmentedNet/archive/refs/heads/main.zip
+apt install unzip
+unzip main.zip
+mv AugmentedNet-main AugmentedNet
+cd AugmentedNet/
+wget https://github.com/napulen/AugmentedNet/releases/latest/download/dataset.zip
+unzip dataset.zip
+wget https://repo.anaconda.com/miniconda/Miniconda3-py38_23.1.0-1-Linux-x86_64.sh
+bash Miniconda3-py38_23.1.0-1-Linux-x86_64.sh
+
+#pip install -r requirements.txt

setup-cuda.sh

@@ -0,0 +1,23 @@
+#!/bin/bash
+
+#setup CUDA & cuDNN
+apt install gcc
+apt-get install linux-headers-$(uname -r)
+wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
+mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
+wget https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda-repo-ubuntu2004-12-1-local_12.1.0-530.30.02-1_amd64.deb
+dpkg -i cuda-repo-ubuntu2004-12-1-local_12.1.0-530.30.02-1_amd64.deb
+cp /var/cuda-repo-ubuntu2004-12-1-local/cuda-*-keyring.gpg /usr/share/keyrings/
+apt-get update
+apt-get -y install cuda
+apt install nvidia-cuda-toolkit
+apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
+add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
+apt-get update
+apt-get install libcudnn8=8.8.0.121-1+cuda12.0
+apt-get autoremove
+
+wget https://github.com/Alicelavander/AugmentedNet/raw/setup/setup-augmentednet.sh
+chmod +x setup-augmentednet.sh
+
+#nvidia-smi