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Makefile
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259 lines (220 loc) · 8.53 KB
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PYTHON_INTERPRETER_PATH ?= poetry run python
MIDI_DIR ?= data/midi
AUDIO_DIR ?= data/audio
MODEL_DIR ?= data/model
GENETIC_DIR ?= data/genetic
DOWNLOADS_DIR ?= data/downloads
PRESETS_DIR ?= data/presets
SYNTH_PATH ?= data/synth/TAL-NoiseMaker.vst3
# Benchmarks
SIGNAL_PROCESSING ?= default
TARGET_SYNTH ?= noisemaker
PARAM_LIMIT ?= 32
DOCKER_IMAGE ?= nvalsted/autosoundmatch:latest
.PHONY: nvidia-container-toolkit build-image run-image-interactive paths resources clear-resources tables midi-partitions dataset prepare-data genetic model evaluate reset inspect model-suite synth-dsp-fixtures mono-benchmark-setup poly-benchmark-setup mono-benchmark poly-benchmark
nvidia-container-toolkit: # Should work for Ubuntu and Debian - Otherwise, see: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get install -y nvidia-docker2
sudo systemctl restart docker
build-image:
ifeq ($(OS),Windows_NT)
docker build . -t ${DOCKER_IMAGE}
else
sudo docker build . -t ${DOCKER_IMAGE}
endif
run-image-interactive:
docker run --rm -it ${DOCKER_IMAGE}
paths:
${PYTHON_INTERPRETER_PATH} asm-cli.py setup-paths \
--midi ${MIDI_DIR} \
--audio ${AUDIO_DIR} \
--model ${MODEL_DIR} \
--downloads ${DOWNLOADS_DIR} \
--presets ${PRESETS_DIR} \
--genetic ${GENETIC_DIR}
resources:
@if [ ! -d "${DOWNLOADS_DIR}/msmd_real_performances" ]; \
then \
wget http://www.cp.jku.at/resources/2019_RLScoFo_TISMIR/data.tar.gz -O ${DOWNLOADS_DIR}/RLScoFO_data.tar.gz && \
tar -xzf ${DOWNLOADS_DIR}/RLScoFO_data.tar.gz -C ${DOWNLOADS_DIR} && \
rm ${DOWNLOADS_DIR}/RLScoFO_data.tar.gz; \
else \
echo "Resource http://www.cp.jku.at/resources/2019_RLScoFo_TISMIR/data.tar.gz already downloaded."; \
fi
@if [ ! -d "${DOWNLOADS_DIR}/lmd_matched" ]; \
then \
wget http://hog.ee.columbia.edu/craffel/lmd/lmd_matched.tar.gz -O ${DOWNLOADS_DIR}/lmd_matched.tar.gz && \
tar -xzf ${DOWNLOADS_DIR}/lmd_matched.tar.gz -C ${DOWNLOADS_DIR} && \
rm ${DOWNLOADS_DIR}/lmd_matched.tar.gz; \
else \
echo "Resource http://hog.ee.columbia.edu/craffel/lmd/lmd_matched.tar.gz already downloaded."; \
fi
ifeq ($(OS),Windows_NT)
@if [ ! -f "${SYNTH_PATH}" ]; \
then \
wget https://tal-software.com//downloads/plugins/install_tal-noisemaker.zip -O ${DOWNLOADS_DIR}/install_tal-noisemaker.zip && \
unzip ${DOWNLOADS_DIR}/install_tal-noisemaker.zip "TAL-NoiseMaker.vst3/**/*" -d ${DOWNLOADS_DIR} && \
mkdir -p ${SYNTH_PATH} && \
mv ${DOWNLOADS_DIR}/TAL-NoiseMaker.vst3/Contents/x86_64-win/TAL-NoiseMaker.vst3 ${SYNTH_PATH} && \
rm ${DOWNLOADS_DIR}/install_tal-noisemaker.zip && \
rm -r ${DOWNLOADS_DIR}/TAL-NoiseMaker.vst3; \
else \
echo "Synth already installed."; \
fi
else ifeq ($(OS),Darwin)
@echo "Not implemented - synth can be manually downloaded from https://tal-software.com//downloads/plugins/tal-noisemaker-installer.pkg"
else
@if [ ! -f "${SYNTH_PATH}" ]; \
then \
wget https://tal-software.com/downloads/plugins/TAL-NoiseMaker_64_linux.zip -O ${DOWNLOADS_DIR}/TAL-NoiseMaker_64_linux.zip && \
unzip ${DOWNLOADS_DIR}/TAL-NoiseMaker_64_linux.zip "libTAL-NoiseMaker.so" -d ${DOWNLOADS_DIR} && \
mkdir -p ${SYNTH_PATH} && \
mv ${DOWNLOADS_DIR}/libTAL-NoiseMaker.so ${SYNTH_PATH} && \
rm ${DOWNLOADS_DIR}/TAL-NoiseMaker_64_linux.zip; \
else \
echo "Synth already installed."; \
fi
endif
@if ls ${PRESETS_DIR}/*TAL.vstpreset > /dev/null 2>&1; \
then \
echo "Presets already installed."; \
else \
wget https://tal-software.com//downloads/presets/TAL-NoiseMaker%20vst3.zip --no-check-certificate -O ${DOWNLOADS_DIR}/TAL-NoiseMaker%20vst3.zip && \
unzip ${DOWNLOADS_DIR}/TAL-NoiseMaker%20vst3.zip "*.vstpreset" -d ${PRESETS_DIR} && \
rm ${DOWNLOADS_DIR}/TAL-NoiseMaker%20vst3.zip; \
fi
clear-resources:
rm -r ${DOWNLOADS_DIR}/msmd_all
rm -r ${DOWNLOADS_DIR}/msmd_real_performances
rm -r ${DOWNLOADS_DIR}/nottingham
rm -r ${DOWNLOADS_DIR}/lmd_matched
rm ${SYNTH_PATH}
rm ${PRESETS_DIR}/*TAL.vstpreset ${PRESETS_DIR}/*FN.vstpreset ${PRESETS_DIR}/*AS.vstpreset ${PRESETS_DIR}/*TUC.vstpreset ${PRESETS_DIR}/*FM.vstpreset
tables:
${PYTHON_INTERPRETER_PATH} asm-cli.py setup-relational-models \
--engine-url "sqlite:///data/local.db" \
--synth-path ${SYNTH_PATH}
midi-partitions:
${PYTHON_INTERPRETER_PATH} asm-cli.py partition-midi-files \
--directory ${DOWNLOADS_DIR}/msmd_real_performances/msmd_all_deadpan/performance/ \
--directory ${DOWNLOADS_DIR}/lmd_matched/A/A/
dataset:
${PYTHON_INTERPRETER_PATH} asm-cli.py generate-param-triples
${PYTHON_INTERPRETER_PATH} asm-cli.py process-audio
prepare-data:
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/default_signal_processing.py
make tables
make midi-partitions
make dataset
genetic:
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/genetic.py
${PYTHON_INTERPRETER_PATH} asm-cli.py test-genetic-algorithm \
--test-limit 128
model:
${PYTHON_INTERPRETER_PATH} asm-cli.py train-model
evaluate:
${PYTHON_INTERPRETER_PATH} asm-cli.py test-model
reset:
@echo "Resetting project state"
${PYTHON_INTERPRETER_PATH} asm-cli.py reset
inspect:
@echo "Inspecting project state"
@${PYTHON_INTERPRETER_PATH} -c "import warnings; warnings.filterwarnings('ignore'); from torch.cuda import is_available; print('USING GPU' if is_available() else 'USING CPU')"
${PYTHON_INTERPRETER_PATH} asm-cli.py inspect-registry
model-suite:
for fxt in ae cnn flowreg mlp rescnn vae wae vaeflow ; do \
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/aiflowsynth/$${fxt}.py; \
make model; \
make evaluate; \
done
synth-dsp-fixtures:
ifeq (${SIGNAL_PROCESSING},acids-ircam)
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/aiflowsynth/signal_processing.py
else
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/default_signal_processing.py
endif
ifeq (${TARGET_SYNTH},diva)
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/aiflowsynth/u-he_diva${PARAM_LIMIT}.py
${PYTHON_INTERPRETER_PATH} asm-cli.py setup-diva-presets
else ifeq (${TARGET_SYNTH},mikamicro)
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/mikamicro${PARAM_LIMIT}.py
else ifeq (${TARGET_SYNTH},noisemaker)
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/noisemaker${PARAM_LIMIT}.py
else
${PYTHON_INTERPRETER_PATH} asm-cli.py update-registry \
src/config/fixtures/synth.py
endif
mono-benchmark-setup:
make reset
make paths
make resources
make synth-dsp-fixtures
${PYTHON_INTERPRETER_PATH} asm-cli.py setup-relational-models \
--engine-url "sqlite:///data/local.db"
${PYTHON_INTERPRETER_PATH} asm-cli.py mono-setup
ifeq (${TARGET_SYNTH},diva)
${PYTHON_INTERPRETER_PATH} asm-cli.py generate-param-triples \
--num-presets 11000 \
--num-midi 1 \
--pairs 1 \
--preset-glob "*.json"
else ifeq (${TARGET_SYNTH},noisemaker)
${PYTHON_INTERPRETER_PATH} asm-cli.py generate-param-triples \
--num-presets 11000 \
--num-midi 1 \
--pairs 1 \
--preset-glob "*.vstpreset"
else
${PYTHON_INTERPRETER_PATH} asm-cli.py generate-param-triples \
--num-presets 11000 \
--num-midi 1 \
--pairs 1
endif
${PYTHON_INTERPRETER_PATH} asm-cli.py process-audio
poly-benchmark-setup:
make reset
make paths
make resources
make synth-dsp-fixtures
${PYTHON_INTERPRETER_PATH} asm-cli.py setup-relational-models \
--engine-url "sqlite:///data/local.db"
make midi-partitions
ifeq (${TARGET_SYNTH},diva)
${PYTHON_INTERPRETER_PATH} asm-cli.py generate-param-triples \
--num-presets 2750 \
--num-midi 500 \
--pairs 4 \
--preset-glob "*.json"
else ifeq (${TARGET_SYNTH},noisemaker)
${PYTHON_INTERPRETER_PATH} asm-cli.py generate-param-triples \
--num-presets 2750 \
--num-midi 500 \
--pairs 4 \
--preset-glob "*.vstpreset"
else
${PYTHON_INTERPRETER_PATH} asm-cli.py generate-param-triples \
--num-presets 2750 \
--num-midi 500 \
--pairs 4
endif
${PYTHON_INTERPRETER_PATH} asm-cli.py process-audio
mono-benchmark:
make mono-benchmark-setup
make model-suite
make genetic
poly-benchmark:
make poly-benchmark-setup
make model-suite
make genetic