revert sageattn back to optional dependency because it's not on windows, force resize_modules on by default because I broke something
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155
setup.py
155
setup.py
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@ -5,94 +5,99 @@ from datetime import datetime
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from setuptools import setup, find_packages
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def shell(*args):
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out = subprocess.check_output(args)
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return out.decode("ascii").strip()
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out = subprocess.check_output(args)
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return out.decode("ascii").strip()
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def write_version(version_core, pre_release=True):
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if pre_release:
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time = shell("git", "log", "-1", "--format=%cd", "--date=iso")
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time = datetime.strptime(time, "%Y-%m-%d %H:%M:%S %z")
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time = time.strftime("%Y%m%d%H%M%S")
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version = f"{version_core}-dev{time}"
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else:
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version = version_core
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if pre_release:
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time = shell("git", "log", "-1", "--format=%cd", "--date=iso")
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time = datetime.strptime(time, "%Y-%m-%d %H:%M:%S %z")
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time = time.strftime("%Y%m%d%H%M%S")
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version = f"{version_core}-dev{time}"
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else:
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version = version_core
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with open(Path("vall_e", "version.py"), "w") as f:
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f.write('__version__ = "{}"\n'.format(version))
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with open(Path("vall_e", "version.py"), "w") as f:
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f.write('__version__ = "{}"\n'.format(version))
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return version
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return version
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with open("README.md", "r") as f:
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long_description = f.read()
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long_description = f.read()
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platform_dependencies = []
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if sys.platform.startswith("win"):
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platform_dependencies += ["psutil"]
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else:
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platform_dependencies += ["deepspeed>=0.7.7"]
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setup(
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name="vall-e",
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python_requires=">=3.10.0",
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version=write_version("0.0.1"),
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description="An unofficial implementation of the audio LM VALL-E",
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author="ecker",
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author_email="mrq@ecker.tech",
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long_description=long_description,
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long_description_content_type="text/markdown",
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packages=find_packages(),
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install_requires=(
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# training backends
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["deepspeed>=0.7.7"] if not sys.platform.startswith("win") else ["psutil"])
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+ [
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# logging niceties
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"coloredlogs>=15.0.1", # barely required
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"humanize>=4.4.0", # not really required
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"matplotlib>=3.6.0", # only required for plotting
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"pandas>=1.5.0", # not really required
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name="vall-e",
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python_requires=">=3.10.0",
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version=write_version("0.0.1"),
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description="An unofficial implementation of the audio LM VALL-E",
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author="ecker",
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author_email="mrq@ecker.tech",
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long_description=long_description,
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long_description_content_type="text/markdown",
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packages=find_packages(),
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install_requires=
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platform_dependencies + [
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# logging niceties
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"coloredlogs>=15.0.1", # barely required
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"humanize>=4.4.0", # not really required
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"matplotlib>=3.6.0", # only required for plotting
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"pandas>=1.5.0", # not really required
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# boiler plate niceties
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#"diskcache>=5.4.0",
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"einops>=0.6.0", # could be replaced
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"tqdm",
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# boiler plate niceties
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#"diskcache>=5.4.0",
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"einops>=0.6.0", # could be replaced
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"tqdm",
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# HF bloat
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"tokenizers",
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"transformers",
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"safetensors",
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# HF bloat
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"tokenizers",
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"transformers",
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"safetensors",
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# training bloat
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"auraloss[all]", # [all] is needed for MelSTFTLoss
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"h5py",
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"prodigyopt @ git+https://github.com/konstmish/prodigy",
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# training bloat
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"auraloss[all]", # [all] is needed for MelSTFTLoss
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"h5py",
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"prodigyopt @ git+https://github.com/konstmish/prodigy",
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# practically the reason to use python
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"numpy",
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"torch>=1.13.0",
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"torchaudio>=0.13.0",
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"torchmetrics",
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# practically the reason to use python
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"numpy",
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"torch>=1.13.0",
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"torchaudio>=0.13.0",
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"torchmetrics",
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# core foundations
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"phonemizer>=2.1.0",
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"encodec>=0.1.1",
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"vocos",
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# core foundations
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"phonemizer>=2.1.0",
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"encodec>=0.1.1",
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"vocos",
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# for the web UI
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"gradio",
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"nltk",
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"sageattention==1.0.6",
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],
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extras_require = {
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"all": [
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# retnet backend (even though two internal copies exist)
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"torchscale @ git+https://git.ecker.tech/mrq/torchscale",
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# bitnet
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"bitnet",
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# mamba
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"causal-conv1d",
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"mamba-ssm",
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# for the web UI
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"gradio",
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"nltk",
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],
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extras_require = {
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"all": [
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# retnet backend (even though two internal copies exist)
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"torchscale @ git+https://git.ecker.tech/mrq/torchscale",
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# bitnet
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"bitnet",
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# mamba
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"causal-conv1d",
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"mamba-ssm",
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# attention helpers
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"xformers",
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# "flash-attn" --no-build-isolation # commented out right now because I want to query this for Volta freaks like me who can't use it
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# other audio backend that doesn't prove fruitful
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"descript-audio-codec",
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]
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},
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url="https://git.ecker.tech/mrq/vall-e",
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# attention helpers
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"xformers",
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"sageattention==1.0.6",
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# "flash-attn" --no-build-isolation # commented out right now because I want to query this for Volta freaks like me who can't use it
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# other audio backend that doesn't prove fruitful
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"descript-audio-codec",
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]
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},
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url="https://git.ecker.tech/mrq/vall-e",
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)
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@ -698,7 +698,7 @@ class Trainer:
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strict_loading: bool = False # sets strict_loading=True when loading the state dict
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load_module_only: bool = False #
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restart_step_count: bool = False # clears the training stats when loading a checkpoint
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resize_modules: bool = False # automatically resizes
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resize_modules: bool = True # automatically resizes
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activation_checkpointing: bool | None = None # deprecated, should technically be used for only on activations and not the entire gradients, but HF only has gradient checkpointing
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gradient_checkpointing: bool = True # enables gradient checkpointing to save VRAM at the cost of slightly reduced performance when training
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