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Merge pull request #264 from Seas0/patch-1
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labml_nn/gan/wasserstein/__init__.py

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$\mathbb{E}_{(x,y) \sim \gamma} \Vert x - y \Vert$ is the earth mover distance for
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a given joint distribution ($x$ and $y$ are probabilities).
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So $W(\mathbb{P}_r, \mathbb{P}g)$ is equal to the least earth mover distance for
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So $W(\mathbb{P}_r, \mathbb{P}_g)$ is equal to the least earth mover distance for
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any joint distribution between the real distribution $\mathbb{P}_r$ and generated distribution $\mathbb{P}_g$.
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The paper shows that Jensen-Shannon (JS) divergence and other measures for the difference between two probability

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