facebookresearch--audiocraft
Alexandre Défossez (autodoc)
455 行
25 KiB
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455 行
25 KiB
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<article id="content">
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<header>
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<h1 class="title">Module <code>audiocraft.quantization.base</code></h1>
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</header>
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<section id="section-intro">
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<p>Base class for all quantizers.</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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</section>
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<section>
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<h2 class="section-title" id="header-classes">Classes</h2>
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<dl>
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<dt id="audiocraft.quantization.base.BaseQuantizer"><code class="flex name class">
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<span>class <span class="ident">BaseQuantizer</span></span>
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<span>(</span><span>*args, **kwargs)</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">class BaseQuantizer(nn.Module):
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"""Base class for quantizers.
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"""
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def forward(self, x: torch.Tensor, frame_rate: int) -> QuantizedResult:
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"""
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Given input tensor x, returns first the quantized (or approximately quantized)
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representation along with quantized codes, bandwidth, and any penalty term for the loss.
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Finally, this returns a dict of metrics to update logging etc.
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Frame rate must be passed so that the bandwidth is properly computed.
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"""
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raise NotImplementedError()
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def encode(self, x: torch.Tensor) -> torch.Tensor:
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"""Encode a given input tensor with the specified sample rate at the given bandwidth."""
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raise NotImplementedError()
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def decode(self, codes: torch.Tensor) -> torch.Tensor:
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"""Decode the given codes to the quantized representation."""
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raise NotImplementedError()
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@property
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def total_codebooks(self):
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"""Total number of codebooks."""
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raise NotImplementedError()
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@property
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def num_codebooks(self):
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"""Number of active codebooks."""
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raise NotImplementedError()
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def set_num_codebooks(self, n: int):
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"""Set the number of active codebooks."""
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raise NotImplementedError()</code></pre>
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</details>
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<div class="desc"><p>Base class for quantizers.</p>
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<p>Initializes internal Module state, shared by both nn.Module and ScriptModule.</p></div>
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<h3>Ancestors</h3>
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<ul class="hlist">
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<li>torch.nn.modules.module.Module</li>
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</ul>
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<h3>Subclasses</h3>
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<ul class="hlist">
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<li><a title="audiocraft.quantization.base.DummyQuantizer" href="#audiocraft.quantization.base.DummyQuantizer">DummyQuantizer</a></li>
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<li><a title="audiocraft.quantization.vq.ResidualVectorQuantizer" href="vq.html#audiocraft.quantization.vq.ResidualVectorQuantizer">ResidualVectorQuantizer</a></li>
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</ul>
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<h3>Class variables</h3>
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<dl>
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<dt id="audiocraft.quantization.base.BaseQuantizer.call_super_init"><code class="name">var <span class="ident">call_super_init</span> : bool</code></dt>
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<dd>
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<div class="desc"></div>
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</dd>
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<dt id="audiocraft.quantization.base.BaseQuantizer.dump_patches"><code class="name">var <span class="ident">dump_patches</span> : bool</code></dt>
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<dd>
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<div class="desc"></div>
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||
</dd>
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<dt id="audiocraft.quantization.base.BaseQuantizer.training"><code class="name">var <span class="ident">training</span> : bool</code></dt>
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<dd>
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<div class="desc"></div>
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</dd>
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</dl>
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<h3>Instance variables</h3>
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<dl>
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<dt id="audiocraft.quantization.base.BaseQuantizer.num_codebooks"><code class="name">prop <span class="ident">num_codebooks</span></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">@property
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def num_codebooks(self):
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||
"""Number of active codebooks."""
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raise NotImplementedError()</code></pre>
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||
</details>
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||
<div class="desc"><p>Number of active codebooks.</p></div>
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||
</dd>
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||
<dt id="audiocraft.quantization.base.BaseQuantizer.total_codebooks"><code class="name">prop <span class="ident">total_codebooks</span></code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">@property
|
||
def total_codebooks(self):
|
||
"""Total number of codebooks."""
|
||
raise NotImplementedError()</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Total number of codebooks.</p></div>
|
||
</dd>
|
||
</dl>
|
||
<h3>Methods</h3>
|
||
<dl>
|
||
<dt id="audiocraft.quantization.base.BaseQuantizer.decode"><code class="name flex">
|
||
<span>def <span class="ident">decode</span></span>(<span>self, codes: torch.Tensor) ‑> torch.Tensor</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def decode(self, codes: torch.Tensor) -> torch.Tensor:
|
||
"""Decode the given codes to the quantized representation."""
|
||
raise NotImplementedError()</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Decode the given codes to the quantized representation.</p></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.BaseQuantizer.encode"><code class="name flex">
|
||
<span>def <span class="ident">encode</span></span>(<span>self, x: torch.Tensor) ‑> torch.Tensor</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def encode(self, x: torch.Tensor) -> torch.Tensor:
|
||
"""Encode a given input tensor with the specified sample rate at the given bandwidth."""
|
||
raise NotImplementedError()</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Encode a given input tensor with the specified sample rate at the given bandwidth.</p></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.BaseQuantizer.forward"><code class="name flex">
|
||
<span>def <span class="ident">forward</span></span>(<span>self, x: torch.Tensor, frame_rate: int) ‑> <a title="audiocraft.quantization.base.QuantizedResult" href="#audiocraft.quantization.base.QuantizedResult">QuantizedResult</a></span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def forward(self, x: torch.Tensor, frame_rate: int) -> QuantizedResult:
|
||
"""
|
||
Given input tensor x, returns first the quantized (or approximately quantized)
|
||
representation along with quantized codes, bandwidth, and any penalty term for the loss.
|
||
Finally, this returns a dict of metrics to update logging etc.
|
||
Frame rate must be passed so that the bandwidth is properly computed.
|
||
"""
|
||
raise NotImplementedError()</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Given input tensor x, returns first the quantized (or approximately quantized)
|
||
representation along with quantized codes, bandwidth, and any penalty term for the loss.
|
||
Finally, this returns a dict of metrics to update logging etc.
|
||
Frame rate must be passed so that the bandwidth is properly computed.</p></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.BaseQuantizer.set_num_codebooks"><code class="name flex">
|
||
<span>def <span class="ident">set_num_codebooks</span></span>(<span>self, n: int)</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def set_num_codebooks(self, n: int):
|
||
"""Set the number of active codebooks."""
|
||
raise NotImplementedError()</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Set the number of active codebooks.</p></div>
|
||
</dd>
|
||
</dl>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.DummyQuantizer"><code class="flex name class">
|
||
<span>class <span class="ident">DummyQuantizer</span></span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">class DummyQuantizer(BaseQuantizer):
|
||
"""Fake quantizer that actually does not perform any quantization.
|
||
"""
|
||
def __init__(self):
|
||
super().__init__()
|
||
|
||
def forward(self, x: torch.Tensor, frame_rate: int):
|
||
q = x.unsqueeze(1)
|
||
return QuantizedResult(x, q, torch.tensor(q.numel() * 32 * frame_rate / 1000 / len(x)).to(x))
|
||
|
||
def encode(self, x: torch.Tensor) -> torch.Tensor:
|
||
"""Encode a given input tensor with the specified sample rate at the given bandwidth.
|
||
In the case of the DummyQuantizer, the codes are actually identical
|
||
to the input and resulting quantized representation as no quantization is done.
|
||
"""
|
||
return x.unsqueeze(1)
|
||
|
||
def decode(self, codes: torch.Tensor) -> torch.Tensor:
|
||
"""Decode the given codes to the quantized representation.
|
||
In the case of the DummyQuantizer, the codes are actually identical
|
||
to the input and resulting quantized representation as no quantization is done.
|
||
"""
|
||
return codes.squeeze(1)
|
||
|
||
@property
|
||
def total_codebooks(self):
|
||
"""Total number of codebooks."""
|
||
return 1
|
||
|
||
@property
|
||
def num_codebooks(self):
|
||
"""Total number of codebooks."""
|
||
return self.total_codebooks
|
||
|
||
def set_num_codebooks(self, n: int):
|
||
"""Set the number of active codebooks."""
|
||
raise AttributeError("Cannot override the number of codebooks for the dummy quantizer")</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Fake quantizer that actually does not perform any quantization.</p>
|
||
<p>Initializes internal Module state, shared by both nn.Module and ScriptModule.</p></div>
|
||
<h3>Ancestors</h3>
|
||
<ul class="hlist">
|
||
<li><a title="audiocraft.quantization.base.BaseQuantizer" href="#audiocraft.quantization.base.BaseQuantizer">BaseQuantizer</a></li>
|
||
<li>torch.nn.modules.module.Module</li>
|
||
</ul>
|
||
<h3>Class variables</h3>
|
||
<dl>
|
||
<dt id="audiocraft.quantization.base.DummyQuantizer.call_super_init"><code class="name">var <span class="ident">call_super_init</span> : bool</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.DummyQuantizer.dump_patches"><code class="name">var <span class="ident">dump_patches</span> : bool</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.DummyQuantizer.training"><code class="name">var <span class="ident">training</span> : bool</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
</dl>
|
||
<h3>Instance variables</h3>
|
||
<dl>
|
||
<dt id="audiocraft.quantization.base.DummyQuantizer.num_codebooks"><code class="name">prop <span class="ident">num_codebooks</span></code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">@property
|
||
def num_codebooks(self):
|
||
"""Total number of codebooks."""
|
||
return self.total_codebooks</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Total number of codebooks.</p></div>
|
||
</dd>
|
||
</dl>
|
||
<h3>Methods</h3>
|
||
<dl>
|
||
<dt id="audiocraft.quantization.base.DummyQuantizer.decode"><code class="name flex">
|
||
<span>def <span class="ident">decode</span></span>(<span>self, codes: torch.Tensor) ‑> torch.Tensor</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def decode(self, codes: torch.Tensor) -> torch.Tensor:
|
||
"""Decode the given codes to the quantized representation.
|
||
In the case of the DummyQuantizer, the codes are actually identical
|
||
to the input and resulting quantized representation as no quantization is done.
|
||
"""
|
||
return codes.squeeze(1)</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Decode the given codes to the quantized representation.
|
||
In the case of the DummyQuantizer, the codes are actually identical
|
||
to the input and resulting quantized representation as no quantization is done.</p></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.DummyQuantizer.encode"><code class="name flex">
|
||
<span>def <span class="ident">encode</span></span>(<span>self, x: torch.Tensor) ‑> torch.Tensor</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">def encode(self, x: torch.Tensor) -> torch.Tensor:
|
||
"""Encode a given input tensor with the specified sample rate at the given bandwidth.
|
||
In the case of the DummyQuantizer, the codes are actually identical
|
||
to the input and resulting quantized representation as no quantization is done.
|
||
"""
|
||
return x.unsqueeze(1)</code></pre>
|
||
</details>
|
||
<div class="desc"><p>Encode a given input tensor with the specified sample rate at the given bandwidth.
|
||
In the case of the DummyQuantizer, the codes are actually identical
|
||
to the input and resulting quantized representation as no quantization is done.</p></div>
|
||
</dd>
|
||
</dl>
|
||
<h3>Inherited members</h3>
|
||
<ul class="hlist">
|
||
<li><code><b><a title="audiocraft.quantization.base.BaseQuantizer" href="#audiocraft.quantization.base.BaseQuantizer">BaseQuantizer</a></b></code>:
|
||
<ul class="hlist">
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.forward" href="#audiocraft.quantization.base.BaseQuantizer.forward">forward</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.set_num_codebooks" href="#audiocraft.quantization.base.BaseQuantizer.set_num_codebooks">set_num_codebooks</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.total_codebooks" href="#audiocraft.quantization.base.BaseQuantizer.total_codebooks">total_codebooks</a></code></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.QuantizedResult"><code class="flex name class">
|
||
<span>class <span class="ident">QuantizedResult</span></span>
|
||
<span>(</span><span>x: torch.Tensor,<br>codes: torch.Tensor,<br>bandwidth: torch.Tensor,<br>penalty: torch.Tensor | None = None,<br>metrics: dict = <factory>)</span>
|
||
</code></dt>
|
||
<dd>
|
||
<details class="source">
|
||
<summary>
|
||
<span>Expand source code</span>
|
||
</summary>
|
||
<pre><code class="python">@dataclass
|
||
class QuantizedResult:
|
||
x: torch.Tensor
|
||
codes: torch.Tensor
|
||
bandwidth: torch.Tensor # bandwidth in kb/s used, per batch item.
|
||
penalty: tp.Optional[torch.Tensor] = None
|
||
metrics: dict = field(default_factory=dict)</code></pre>
|
||
</details>
|
||
<div class="desc"><p>QuantizedResult(x: torch.Tensor, codes: torch.Tensor, bandwidth: torch.Tensor, penalty: Optional[torch.Tensor] = None, metrics: dict = <factory>)</p></div>
|
||
<h3>Class variables</h3>
|
||
<dl>
|
||
<dt id="audiocraft.quantization.base.QuantizedResult.bandwidth"><code class="name">var <span class="ident">bandwidth</span> : torch.Tensor</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.QuantizedResult.codes"><code class="name">var <span class="ident">codes</span> : torch.Tensor</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.QuantizedResult.metrics"><code class="name">var <span class="ident">metrics</span> : dict</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.QuantizedResult.penalty"><code class="name">var <span class="ident">penalty</span> : torch.Tensor | None</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
<dt id="audiocraft.quantization.base.QuantizedResult.x"><code class="name">var <span class="ident">x</span> : torch.Tensor</code></dt>
|
||
<dd>
|
||
<div class="desc"></div>
|
||
</dd>
|
||
</dl>
|
||
</dd>
|
||
</dl>
|
||
</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.quantization" href="index.html">audiocraft.quantization</a></code></li>
|
||
</ul>
|
||
</li>
|
||
<li><h3><a href="#header-classes">Classes</a></h3>
|
||
<ul>
|
||
<li>
|
||
<h4><code><a title="audiocraft.quantization.base.BaseQuantizer" href="#audiocraft.quantization.base.BaseQuantizer">BaseQuantizer</a></code></h4>
|
||
<ul class="two-column">
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.call_super_init" href="#audiocraft.quantization.base.BaseQuantizer.call_super_init">call_super_init</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.decode" href="#audiocraft.quantization.base.BaseQuantizer.decode">decode</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.dump_patches" href="#audiocraft.quantization.base.BaseQuantizer.dump_patches">dump_patches</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.encode" href="#audiocraft.quantization.base.BaseQuantizer.encode">encode</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.forward" href="#audiocraft.quantization.base.BaseQuantizer.forward">forward</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.num_codebooks" href="#audiocraft.quantization.base.BaseQuantizer.num_codebooks">num_codebooks</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.set_num_codebooks" href="#audiocraft.quantization.base.BaseQuantizer.set_num_codebooks">set_num_codebooks</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.total_codebooks" href="#audiocraft.quantization.base.BaseQuantizer.total_codebooks">total_codebooks</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.BaseQuantizer.training" href="#audiocraft.quantization.base.BaseQuantizer.training">training</a></code></li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<h4><code><a title="audiocraft.quantization.base.DummyQuantizer" href="#audiocraft.quantization.base.DummyQuantizer">DummyQuantizer</a></code></h4>
|
||
<ul class="two-column">
|
||
<li><code><a title="audiocraft.quantization.base.DummyQuantizer.call_super_init" href="#audiocraft.quantization.base.DummyQuantizer.call_super_init">call_super_init</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.DummyQuantizer.decode" href="#audiocraft.quantization.base.DummyQuantizer.decode">decode</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.DummyQuantizer.dump_patches" href="#audiocraft.quantization.base.DummyQuantizer.dump_patches">dump_patches</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.DummyQuantizer.encode" href="#audiocraft.quantization.base.DummyQuantizer.encode">encode</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.DummyQuantizer.num_codebooks" href="#audiocraft.quantization.base.DummyQuantizer.num_codebooks">num_codebooks</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.DummyQuantizer.training" href="#audiocraft.quantization.base.DummyQuantizer.training">training</a></code></li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<h4><code><a title="audiocraft.quantization.base.QuantizedResult" href="#audiocraft.quantization.base.QuantizedResult">QuantizedResult</a></code></h4>
|
||
<ul class="">
|
||
<li><code><a title="audiocraft.quantization.base.QuantizedResult.bandwidth" href="#audiocraft.quantization.base.QuantizedResult.bandwidth">bandwidth</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.QuantizedResult.codes" href="#audiocraft.quantization.base.QuantizedResult.codes">codes</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.QuantizedResult.metrics" href="#audiocraft.quantization.base.QuantizedResult.metrics">metrics</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.QuantizedResult.penalty" href="#audiocraft.quantization.base.QuantizedResult.penalty">penalty</a></code></li>
|
||
<li><code><a title="audiocraft.quantization.base.QuantizedResult.x" href="#audiocraft.quantization.base.QuantizedResult.x">x</a></code></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
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