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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
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)
api_docs:
pdoc3 --html -o api_docs -f audiocraft
dist:
python setup.py sdist
.PHONY: linter tests api_docs dist
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