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docs/build/html/_sources/python/nn/_autosummary/mlx.nn.QuantizedLinear.rst
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docs/build/html/_sources/python/nn/_autosummary/mlx.nn.QuantizedLinear.rst
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mlx.nn.QuantizedLinear
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======================
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.. currentmodule:: mlx.nn
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.. autoclass:: QuantizedLinear
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docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst
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docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst
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mlx.nn.losses.smooth\_l1\_loss
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==============================
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.. currentmodule:: mlx.nn.losses
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.. autoclass:: smooth_l1_loss
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docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.rst
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docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.rst
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mlx.nn.losses.triplet\_loss
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===========================
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.. currentmodule:: mlx.nn.losses
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.. autoclass:: triplet_loss
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@@ -26,3 +26,4 @@ Layers
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RoPE
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MultiHeadAttention
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Sequential
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QuantizedLinear
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@@ -9,9 +9,11 @@ Loss Functions
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:toctree: _autosummary_functions
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:template: nn-module-template.rst
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cross_entropy
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binary_cross_entropy
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cross_entropy
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kl_div_loss
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l1_loss
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mse_loss
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nll_loss
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kl_div_loss
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smooth_l1_loss
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triplet_loss
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