facebookresearch--audiocraft
Alexandre Défossez (autodoc)
375 行
21 KiB
HTML
375 行
21 KiB
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Each checkpoint is a torch.saved dict with the following keys:
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- 'xp.cfg': the hydra config as dumped …">
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<article id="content">
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<header>
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<h1 class="title">Module <code>audiocraft.models.loaders</code></h1>
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</header>
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<section id="section-intro">
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<p>Utility functions to load from the checkpoints.
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Each checkpoint is a torch.saved dict with the following keys:
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- 'xp.cfg': the hydra config as dumped during training. This should be used
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to rebuild the object using the audiocraft.models.builders functions,
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- 'model_best_state': a readily loadable best state for the model, including
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the conditioner. The model obtained from <code>xp.cfg</code> should be compatible
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with this state dict. In the case of a LM, the encodec model would not be
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bundled along but instead provided separately.</p>
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<p>Those functions also support loading from a remote location with the Torch Hub API.
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They also support overriding some parameters, in particular the device and dtype
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of the returned model.</p>
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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<h2 class="section-title" id="header-functions">Functions</h2>
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<dl>
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<dt id="audiocraft.models.loaders.get_audiocraft_cache_dir"><code class="name flex">
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<span>def <span class="ident">get_audiocraft_cache_dir</span></span>(<span>) ‑> str | None</span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def get_audiocraft_cache_dir() -> tp.Optional[str]:
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return os.environ.get('AUDIOCRAFT_CACHE_DIR', None)</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="audiocraft.models.loaders.load_audioseal_models"><code class="name flex">
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<span>def <span class="ident">load_audioseal_models</span></span>(<span>file_or_url_or_id: str | pathlib.Path,<br>device='cpu',<br>filename: str | None = None,<br>cache_dir: str | None = None)</span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def load_audioseal_models(
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file_or_url_or_id: tp.Union[Path, str],
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device="cpu",
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filename: tp.Optional[str] = None,
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cache_dir: tp.Optional[str] = None,
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):
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detector_ckpt = _get_state_dict(
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file_or_url_or_id,
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filename=f"detector_{filename}.pth",
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device=device,
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cache_dir=cache_dir,
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)
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assert (
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"model" in detector_ckpt
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), f"No model state dict found in {file_or_url_or_id}/detector_{filename}.pth"
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detector_state = detector_ckpt["model"]
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generator_ckpt = _get_state_dict(
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file_or_url_or_id,
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filename=f"generator_{filename}.pth",
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device=device,
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cache_dir=cache_dir,
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)
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assert (
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"model" in generator_ckpt
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), f"No model state dict found in {file_or_url_or_id}/generator_{filename}.pth"
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generator_state = generator_ckpt["model"]
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def load_model_config():
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if Path(file_or_url_or_id).joinpath(f"{filename}.yaml").is_file():
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return OmegaConf.load(Path(file_or_url_or_id).joinpath(f"{filename}.yaml"))
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elif file_or_url_or_id.startswith("https://"):
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import requests # type: ignore
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resp = requests.get(f"{file_or_url_or_id}/{filename}.yaml")
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return OmegaConf.create(resp.text)
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else:
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file = hf_hub_download(
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repo_id=file_or_url_or_id,
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filename=f"{filename}.yaml",
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cache_dir=cache_dir,
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library_name="audiocraft",
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library_version=audiocraft.__version__,
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)
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return OmegaConf.load(file)
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try:
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cfg = load_model_config()
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except Exception as exc: # noqa
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cfg_fp = (
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Path(__file__)
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.parents[2]
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.joinpath("config", "model", "watermark", "default.yaml")
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)
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cfg = OmegaConf.load(cfg_fp)
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OmegaConf.resolve(cfg)
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model = builders.get_watermark_model(cfg)
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model.generator.load_state_dict(generator_state)
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model.detector.load_state_dict(detector_state)
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return model.to(device)</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="audiocraft.models.loaders.load_compression_model"><code class="name flex">
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<span>def <span class="ident">load_compression_model</span></span>(<span>file_or_url_or_id: str | pathlib.Path,<br>device='cpu',<br>cache_dir: str | None = None)</span>
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</code></dt>
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<dd>
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<details class="source">
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||
<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def load_compression_model(
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file_or_url_or_id: tp.Union[Path, str],
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device="cpu",
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cache_dir: tp.Optional[str] = None,
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):
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pkg = load_compression_model_ckpt(file_or_url_or_id, cache_dir=cache_dir)
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if 'pretrained' in pkg:
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return CompressionModel.get_pretrained(pkg['pretrained'], device=device)
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cfg = OmegaConf.create(pkg['xp.cfg'])
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cfg.device = str(device)
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model = builders.get_compression_model(cfg)
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model.load_state_dict(pkg["best_state"])
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model.eval()
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return model</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="audiocraft.models.loaders.load_compression_model_ckpt"><code class="name flex">
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<span>def <span class="ident">load_compression_model_ckpt</span></span>(<span>file_or_url_or_id: str | pathlib.Path, cache_dir: str | None = None)</span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def load_compression_model_ckpt(file_or_url_or_id: tp.Union[Path, str], cache_dir: tp.Optional[str] = None):
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return _get_state_dict(file_or_url_or_id, filename="compression_state_dict.bin", cache_dir=cache_dir)</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="audiocraft.models.loaders.load_diffusion_models"><code class="name flex">
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<span>def <span class="ident">load_diffusion_models</span></span>(<span>file_or_url_or_id: str | pathlib.Path,<br>device='cpu',<br>filename: str | None = None,<br>cache_dir: str | None = None)</span>
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</code></dt>
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<dd>
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<details class="source">
|
||
<summary>
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<span>Expand source code</span>
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</summary>
|
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<pre><code class="python">def load_diffusion_models(file_or_url_or_id: tp.Union[Path, str],
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device='cpu',
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filename: tp.Optional[str] = None,
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cache_dir: tp.Optional[str] = None):
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pkg = load_mbd_ckpt(file_or_url_or_id, filename=filename, cache_dir=cache_dir)
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models = []
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processors = []
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cfgs = []
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sample_rate = pkg['sample_rate']
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for i in range(pkg['n_bands']):
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cfg = pkg[i]['cfg']
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model = builders.get_diffusion_model(cfg)
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model_dict = pkg[i]['model_state']
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model.load_state_dict(model_dict)
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model.to(device)
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processor = builders.get_processor(cfg=cfg.processor, sample_rate=sample_rate)
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processor_dict = pkg[i]['processor_state']
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processor.load_state_dict(processor_dict)
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processor.to(device)
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models.append(model)
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processors.append(processor)
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cfgs.append(cfg)
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return models, processors, cfgs</code></pre>
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</details>
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<div class="desc"></div>
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</dd>
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<dt id="audiocraft.models.loaders.load_jasco_model"><code class="name flex">
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<span>def <span class="ident">load_jasco_model</span></span>(<span>file_or_url_or_id: str | pathlib.Path,<br>compression_model: <a title="audiocraft.models.encodec.CompressionModel" href="encodec.html#audiocraft.models.encodec.CompressionModel">CompressionModel</a>,<br>device='cpu',<br>cache_dir: str | None = None)</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def load_jasco_model(file_or_url_or_id: tp.Union[Path, str],
|
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compression_model: CompressionModel,
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device='cpu', cache_dir: tp.Optional[str] = None):
|
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pkg = load_lm_model_ckpt(file_or_url_or_id, cache_dir=cache_dir)
|
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cfg = OmegaConf.create(pkg['xp.cfg'])
|
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cfg.device = str(device)
|
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if cfg.device == 'cpu':
|
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cfg.dtype = 'float32'
|
||
else:
|
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cfg.dtype = 'float16'
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model = builders.get_jasco_model(cfg, compression_model)
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model.load_state_dict(pkg['best_state'])
|
||
model.eval()
|
||
model.cfg = cfg
|
||
return model</code></pre>
|
||
</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.models.loaders.load_lm_model"><code class="name flex">
|
||
<span>def <span class="ident">load_lm_model</span></span>(<span>file_or_url_or_id: str | pathlib.Path,<br>device='cpu',<br>cache_dir: str | None = None)</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def load_lm_model(file_or_url_or_id: tp.Union[Path, str], device='cpu', cache_dir: tp.Optional[str] = None):
|
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pkg = load_lm_model_ckpt(file_or_url_or_id, cache_dir=cache_dir)
|
||
cfg = OmegaConf.create(pkg['xp.cfg'])
|
||
cfg.device = str(device)
|
||
if cfg.device == 'cpu':
|
||
cfg.dtype = 'float32'
|
||
else:
|
||
cfg.dtype = 'float16'
|
||
_delete_param(cfg, 'conditioners.self_wav.chroma_stem.cache_path')
|
||
_delete_param(cfg, 'conditioners.args.merge_text_conditions_p')
|
||
_delete_param(cfg, 'conditioners.args.drop_desc_p')
|
||
model = builders.get_lm_model(cfg)
|
||
model.load_state_dict(pkg['best_state'])
|
||
model.eval()
|
||
model.cfg = cfg
|
||
return model</code></pre>
|
||
</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.models.loaders.load_lm_model_ckpt"><code class="name flex">
|
||
<span>def <span class="ident">load_lm_model_ckpt</span></span>(<span>file_or_url_or_id: str | pathlib.Path, cache_dir: str | None = None)</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def load_lm_model_ckpt(file_or_url_or_id: tp.Union[Path, str], cache_dir: tp.Optional[str] = None):
|
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return _get_state_dict(file_or_url_or_id, filename="state_dict.bin", cache_dir=cache_dir)</code></pre>
|
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</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
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<dt id="audiocraft.models.loaders.load_lm_model_magnet"><code class="name flex">
|
||
<span>def <span class="ident">load_lm_model_magnet</span></span>(<span>file_or_url_or_id: str | pathlib.Path,<br>compression_model_frame_rate: int,<br>device='cpu',<br>cache_dir: str | None = None)</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def load_lm_model_magnet(file_or_url_or_id: tp.Union[Path, str], compression_model_frame_rate: int,
|
||
device='cpu', cache_dir: tp.Optional[str] = None):
|
||
pkg = load_lm_model_ckpt(file_or_url_or_id, cache_dir=cache_dir)
|
||
cfg = OmegaConf.create(pkg['xp.cfg'])
|
||
cfg.device = str(device)
|
||
if cfg.device == 'cpu':
|
||
cfg.dtype = 'float32'
|
||
else:
|
||
cfg.dtype = 'float16'
|
||
_delete_param(cfg, 'conditioners.args.merge_text_conditions_p')
|
||
_delete_param(cfg, 'conditioners.args.drop_desc_p')
|
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|
||
cfg.transformer_lm.compression_model_framerate = compression_model_frame_rate
|
||
cfg.transformer_lm.segment_duration = cfg.dataset.segment_duration
|
||
cfg.transformer_lm.span_len = cfg.masking.span_len
|
||
|
||
# MAGNeT models v1 support only xformers backend.
|
||
from audiocraft.modules.transformer import set_efficient_attention_backend
|
||
|
||
if cfg.transformer_lm.memory_efficient:
|
||
set_efficient_attention_backend("xformers")
|
||
|
||
model = builders.get_lm_model(cfg)
|
||
model.load_state_dict(pkg['best_state'])
|
||
model.eval()
|
||
model.cfg = cfg
|
||
return model</code></pre>
|
||
</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.models.loaders.load_mbd_ckpt"><code class="name flex">
|
||
<span>def <span class="ident">load_mbd_ckpt</span></span>(<span>file_or_url_or_id: str | pathlib.Path,<br>filename: str | None = None,<br>cache_dir: str | None = None)</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def load_mbd_ckpt(file_or_url_or_id: tp.Union[Path, str],
|
||
filename: tp.Optional[str] = None,
|
||
cache_dir: tp.Optional[str] = None):
|
||
return _get_state_dict(file_or_url_or_id, filename=filename, cache_dir=cache_dir)</code></pre>
|
||
</details>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
</dl>
|
||
</section>
|
||
<section>
|
||
</section>
|
||
</article>
|
||
<nav id="sidebar">
|
||
<div class="toc">
|
||
<ul></ul>
|
||
</div>
|
||
<ul id="index">
|
||
<li><h3>Super-module</h3>
|
||
<ul>
|
||
<li><code><a title="audiocraft.models" href="index.html">audiocraft.models</a></code></li>
|
||
</ul>
|
||
</li>
|
||
<li><h3><a href="#header-functions">Functions</a></h3>
|
||
<ul class="">
|
||
<li><code><a title="audiocraft.models.loaders.get_audiocraft_cache_dir" href="#audiocraft.models.loaders.get_audiocraft_cache_dir">get_audiocraft_cache_dir</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_audioseal_models" href="#audiocraft.models.loaders.load_audioseal_models">load_audioseal_models</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_compression_model" href="#audiocraft.models.loaders.load_compression_model">load_compression_model</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_compression_model_ckpt" href="#audiocraft.models.loaders.load_compression_model_ckpt">load_compression_model_ckpt</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_diffusion_models" href="#audiocraft.models.loaders.load_diffusion_models">load_diffusion_models</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_jasco_model" href="#audiocraft.models.loaders.load_jasco_model">load_jasco_model</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_lm_model" href="#audiocraft.models.loaders.load_lm_model">load_lm_model</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_lm_model_ckpt" href="#audiocraft.models.loaders.load_lm_model_ckpt">load_lm_model_ckpt</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_lm_model_magnet" href="#audiocraft.models.loaders.load_lm_model_magnet">load_lm_model_magnet</a></code></li>
|
||
<li><code><a title="audiocraft.models.loaders.load_mbd_ckpt" href="#audiocraft.models.loaders.load_mbd_ckpt">load_mbd_ckpt</a></code></li>
|
||
</ul>
|
||
</li>
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