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Running
on
Zero
Running
on
Zero
INTEG=AUDIOCRAFT_DORA_DIR="/tmp/magma_$(USER)" python3 -m dora -v run --clear device=cpu dataset.num_workers=0 optim.epochs=1 \ | |
dataset.train.num_samples=10 dataset.valid.num_samples=10 \ | |
dataset.evaluate.num_samples=10 dataset.generate.num_samples=2 sample_rate=16000 \ | |
logging.level=DEBUG | |
INTEG_COMPRESSION = $(INTEG) solver=compression/debug rvq.n_q=2 rvq.bins=48 checkpoint.save_last=true # SIG is 5091833e | |
INTEG_MUSICGEN = $(INTEG) solver=musicgen/debug dset=audio/example compression_model_checkpoint=//sig/5091833e \ | |
transformer_lm.n_q=2 transformer_lm.card=48 transformer_lm.dim=16 checkpoint.save_last=false # Using compression model from 5091833e | |
INTEG_AUDIOGEN = $(INTEG) solver=audiogen/debug dset=audio/example compression_model_checkpoint=//sig/5091833e \ | |
transformer_lm.n_q=2 transformer_lm.card=48 transformer_lm.dim=16 checkpoint.save_last=false # Using compression model from 5091833e | |
INTEG_MBD = $(INTEG) solver=diffusion/debug dset=audio/example \ | |
checkpoint.save_last=false # Using compression model from 616d7b3c | |
INTEG_WATERMARK = AUDIOCRAFT_DORA_DIR="/tmp/wm_$(USER)" dora run device=cpu dataset.num_workers=0 optim.epochs=1 \ | |
dataset.train.num_samples=10 dataset.valid.num_samples=10 dataset.evaluate.num_samples=10 dataset.generate.num_samples=10 \ | |
logging.level=DEBUG solver=watermark/robustness checkpoint.save_last=false dset=audio/example | |
default: linter tests | |
install: | |
pip install -U pip | |
pip install -U -e '.[dev]' | |
linter: | |
flake8 audiocraft && mypy audiocraft | |
flake8 tests && mypy tests | |
tests: | |
coverage run -m pytest tests | |
coverage report | |
tests_integ: | |
$(INTEG_COMPRESSION) | |
$(INTEG_MBD) | |
$(INTEG_MUSICGEN) | |
$(INTEG_AUDIOGEN) | |
$(INTEG_WATERMARK) | |
api_docs: | |
pdoc3 --html -o api_docs -f audiocraft | |
dist: | |
python setup.py sdist | |
.PHONY: linter tests api_docs dist | |