mlx/docs/build/doctrees/python/nn/_autosummary/mlx.nn.GELU.doctree

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hh@hhubh<00>desc_content<6E><74><EFBFBD>)<29><>}<7D>(hhh]<5D>(h	<09>	paragraph<70><68><EFBFBD>)<29><>}<7D>(h<05>(Applies the Gaussian Error Linear Units.<2E>h]<5D>h<16>(Applies the Gaussian Error Linear Units.<2E><><EFBFBD><EFBFBD><EFBFBD>}<7D>(hh<>hhhNhNubah}<7D>(h!]<5D>h#]<5D>h%]<5D>h']<5D>h)]<5D>uh+h<>h<1D>k/Users/awnihannun/repos/mlx/python/mlx/nn/layers/activations.py:docstring of mlx.nn.layers.activations.GELU<4C>hK
hh<>hhubh	<09>
math_block<EFBFBD><EFBFBD><EFBFBD>)<29><>}<7D>(h<05> \textrm{GELU}(x) = x * \Phi(x)

<EFBFBD>h]<5D>h<16> \textrm{GELU}(x) = x * \Phi(x)

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)<29><>}<7D>(h<05><>\textrm{GELUApprox}(x) &= x * \sigma\left(1.60033 * x \left(1 + 0.0433603 * x^2\right)\right) \\
\textrm{GELUFast}(x) &= x * \sigma\left(1.773 * x\right)

<EFBFBD>h]<5D>h<16><>\textrm{GELUApprox}(x) &= x * \sigma\left(1.60033 * x \left(1 + 0.0433603 * x^2\right)\right) \\
\textrm{GELUFast}(x) &= x * \sigma\left(1.773 * x\right)

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