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diffusion bracket fix

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Varuna Jayasiri
2022-07-02 15:31:54 +05:30
parent b6bef1d2fe
commit 6feb054ef5
3 changed files with 6 additions and 6 deletions
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docs/diffusion/ddpm/index.html
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docs/sitemap.xml
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@ -561,7 +561,7 @@
<url> <url>
<loc>https://nn.labml.ai/transformers/models.html</loc> <loc>https://nn.labml.ai/transformers/models.html</loc>
<lastmod>2022-06-28T16:30:00+00:00</lastmod> <lastmod>2022-07-02T16:30:00+00:00</lastmod>
<priority>1.00</priority> <priority>1.00</priority>
</url> </url>
@ -652,7 +652,7 @@
<url> <url>
<loc>https://nn.labml.ai/transformers/basic/autoregressive_experiment.html</loc> <loc>https://nn.labml.ai/transformers/basic/autoregressive_experiment.html</loc>
<lastmod>2022-06-28T16:30:00+00:00</lastmod> <lastmod>2022-07-02T16:30:00+00:00</lastmod>
<priority>1.00</priority> <priority>1.00</priority>
</url> </url>
@ -813,7 +813,7 @@
<url> <url>
<loc>https://nn.labml.ai/transformers/positional_encoding.html</loc> <loc>https://nn.labml.ai/transformers/positional_encoding.html</loc>
<lastmod>2021-10-21T16:30:00+00:00</lastmod> <lastmod>2022-07-02T16:30:00+00:00</lastmod>
<priority>1.00</priority> <priority>1.00</priority>
</url> </url>
@ -855,7 +855,7 @@
<url> <url>
<loc>https://nn.labml.ai/transformers/mha.html</loc> <loc>https://nn.labml.ai/transformers/mha.html</loc>
<lastmod>2022-06-28T16:30:00+00:00</lastmod> <lastmod>2022-07-02T16:30:00+00:00</lastmod>
<priority>1.00</priority> <priority>1.00</priority>
</url> </url>

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labml_nn/diffusion/ddpm/__init__.py
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@ -47,7 +47,7 @@ for $T$ time steps.
\begin{align} \begin{align}
\textcolor{lightgreen}{p_\theta}(x_{t-1} | x_t) &= \mathcal{N}\big(x_{t-1}; \textcolor{lightgreen}{p_\theta}(x_{t-1} | x_t) &= \mathcal{N}\big(x_{t-1};
\textcolor{lightgreen}{\mu_\theta}x_t, t), \textcolor{lightgreen}{\Sigma_\theta}(x_t, t)\big) \\ \textcolor{lightgreen}{\mu_\theta}(x_t, t), \textcolor{lightgreen}{\Sigma_\theta}(x_t, t)\big) \\
\textcolor{lightgreen}{p_\theta}(x_{0:T}) &= \textcolor{lightgreen}{p_\theta}(x_T) \prod_{t = 1}^{T} \textcolor{lightgreen}{p_\theta}(x_{t-1} | x_t) \\ \textcolor{lightgreen}{p_\theta}(x_{0:T}) &= \textcolor{lightgreen}{p_\theta}(x_T) \prod_{t = 1}^{T} \textcolor{lightgreen}{p_\theta}(x_{t-1} | x_t) \\
\textcolor{lightgreen}{p_\theta}(x_0) &= \int \textcolor{lightgreen}{p_\theta}(x_{0:T}) dx_{1:T} \textcolor{lightgreen}{p_\theta}(x_0) &= \int \textcolor{lightgreen}{p_\theta}(x_{0:T}) dx_{1:T}
\end{align} \end{align}