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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Module.update_modules.html">mlx.nn.Module.update_modules</a></li>
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</ul>
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</details></li>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../python/nn/layers.html">Layers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ALiBi.html">mlx.nn.ALiBi</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.AvgPool1d.html">mlx.nn.AvgPool1d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.AvgPool2d.html">mlx.nn.AvgPool2d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.AvgPool3d.html">mlx.nn.AvgPool3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.BatchNorm.html">mlx.nn.BatchNorm</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.CELU.html">mlx.nn.CELU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Conv1d.html">mlx.nn.Conv1d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Conv2d.html">mlx.nn.Conv2d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Conv3d.html">mlx.nn.Conv3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ConvTranspose1d.html">mlx.nn.ConvTranspose1d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ConvTranspose2d.html">mlx.nn.ConvTranspose2d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ConvTranspose3d.html">mlx.nn.ConvTranspose3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Dropout.html">mlx.nn.Dropout</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Dropout2d.html">mlx.nn.Dropout2d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Dropout3d.html">mlx.nn.Dropout3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Embedding.html">mlx.nn.Embedding</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ELU.html">mlx.nn.ELU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.GELU.html">mlx.nn.GELU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.GLU.html">mlx.nn.GLU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.GroupNorm.html">mlx.nn.GroupNorm</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.GRU.html">mlx.nn.GRU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.HardShrink.html">mlx.nn.HardShrink</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.HardTanh.html">mlx.nn.HardTanh</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Hardswish.html">mlx.nn.Hardswish</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.InstanceNorm.html">mlx.nn.InstanceNorm</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.LayerNorm.html">mlx.nn.LayerNorm</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.LeakyReLU.html">mlx.nn.LeakyReLU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Linear.html">mlx.nn.Linear</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.LogSigmoid.html">mlx.nn.LogSigmoid</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.LogSoftmax.html">mlx.nn.LogSoftmax</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.LSTM.html">mlx.nn.LSTM</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.MaxPool1d.html">mlx.nn.MaxPool1d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.MaxPool2d.html">mlx.nn.MaxPool2d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.MaxPool3d.html">mlx.nn.MaxPool3d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Mish.html">mlx.nn.Mish</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.QuantizedEmbedding.html">mlx.nn.QuantizedEmbedding</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ReLU.html">mlx.nn.ReLU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.ReLU6.html">mlx.nn.ReLU6</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.RNN.html">mlx.nn.RNN</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.RoPE.html">mlx.nn.RoPE</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.SELU.html">mlx.nn.SELU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Sequential.html">mlx.nn.Sequential</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Sigmoid.html">mlx.nn.Sigmoid</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.SiLU.html">mlx.nn.SiLU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.SinusoidalPositionalEncoding.html">mlx.nn.SinusoidalPositionalEncoding</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Softmin.html">mlx.nn.Softmin</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Softshrink.html">mlx.nn.Softshrink</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Softsign.html">mlx.nn.Softsign</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Softmax.html">mlx.nn.Softmax</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Softplus.html">mlx.nn.Softplus</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Step.html">mlx.nn.Step</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Tanh.html">mlx.nn.Tanh</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Transformer.html">mlx.nn.Transformer</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.Upsample.html">mlx.nn.Upsample</a></li>
|
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</ul>
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</details></li>
|
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<li class="toctree-l2 has-children"><a class="reference internal" href="../python/nn/functions.html">Functions</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.elu.html">mlx.nn.elu</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.celu.html">mlx.nn.celu</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.gelu.html">mlx.nn.gelu</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.gelu_approx.html">mlx.nn.gelu_approx</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.gelu_fast_approx.html">mlx.nn.gelu_fast_approx</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.glu.html">mlx.nn.glu</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.hard_shrink.html">mlx.nn.hard_shrink</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.hard_tanh.html">mlx.nn.hard_tanh</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.hardswish.html">mlx.nn.hardswish</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.leaky_relu.html">mlx.nn.leaky_relu</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.log_sigmoid.html">mlx.nn.log_sigmoid</a></li>
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|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.log_softmax.html">mlx.nn.log_softmax</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.mish.html">mlx.nn.mish</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.prelu.html">mlx.nn.prelu</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.relu.html">mlx.nn.relu</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.relu6.html">mlx.nn.relu6</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.selu.html">mlx.nn.selu</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.sigmoid.html">mlx.nn.sigmoid</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.silu.html">mlx.nn.silu</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.softmax.html">mlx.nn.softmax</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.softmin.html">mlx.nn.softmin</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.softplus.html">mlx.nn.softplus</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.softshrink.html">mlx.nn.softshrink</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.step.html">mlx.nn.step</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.tanh.html">mlx.nn.tanh</a></li>
|
|
</ul>
|
|
</details></li>
|
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<li class="toctree-l2 has-children"><a class="reference internal" href="../python/nn/losses.html">Loss Functions</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.binary_cross_entropy.html">mlx.nn.losses.binary_cross_entropy</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.cosine_similarity_loss.html">mlx.nn.losses.cosine_similarity_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.cross_entropy.html">mlx.nn.losses.cross_entropy</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.gaussian_nll_loss.html">mlx.nn.losses.gaussian_nll_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.hinge_loss.html">mlx.nn.losses.hinge_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.huber_loss.html">mlx.nn.losses.huber_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.nll_loss.html">mlx.nn.losses.nll_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.html">mlx.nn.losses.smooth_l1_loss</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.html">mlx.nn.losses.triplet_loss</a></li>
|
|
</ul>
|
|
</details></li>
|
|
<li class="toctree-l2 has-children"><a class="reference internal" href="../python/nn/init.html">Initializers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.constant.html">mlx.nn.init.constant</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.normal.html">mlx.nn.init.normal</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.uniform.html">mlx.nn.init.uniform</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.identity.html">mlx.nn.init.identity</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.glorot_normal.html">mlx.nn.init.glorot_normal</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.glorot_uniform.html">mlx.nn.init.glorot_uniform</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.he_normal.html">mlx.nn.init.he_normal</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/nn/_autosummary/mlx.nn.init.he_uniform.html">mlx.nn.init.he_uniform</a></li>
|
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</ul>
|
|
</details></li>
|
|
</ul>
|
|
</details></li>
|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../python/optimizers.html">Optimizers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../python/optimizers/optimizer.html">Optimizer</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Optimizer.state.html">mlx.optimizers.Optimizer.state</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Optimizer.apply_gradients.html">mlx.optimizers.Optimizer.apply_gradients</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
|
|
</ul>
|
|
</details></li>
|
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<li class="toctree-l2 has-children"><a class="reference internal" href="../python/optimizers/common_optimizers.html">Common Optimizers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.SGD.html">mlx.optimizers.SGD</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Adagrad.html">mlx.optimizers.Adagrad</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Adafactor.html">mlx.optimizers.Adafactor</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.AdaDelta.html">mlx.optimizers.AdaDelta</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Adam.html">mlx.optimizers.Adam</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.AdamW.html">mlx.optimizers.AdamW</a></li>
|
|
<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Adamax.html">mlx.optimizers.Adamax</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../python/optimizers/_autosummary/mlx.optimizers.Lion.html">mlx.optimizers.Lion</a></li>
|
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</ul>
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<div id="jb-print-docs-body" class="onlyprint">
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<h1>Launching Distributed Programs</h1>
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<!-- Table of contents -->
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<section id="launching-distributed-programs">
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<span id="usage-launch-distributed"></span><h1>Launching Distributed Programs<a class="headerlink" href="#launching-distributed-programs" title="Link to this heading">#</a></h1>
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<p>Installing the MLX python package provides a helper script <code class="docutils literal notranslate"><span class="pre">mlx.launch</span></code> that
|
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can be used to run python scripts distributed on several nodes. It allows
|
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launching using either the MPI backend or the ring backend. See the
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<a class="reference internal" href="distributed.html"><span class="doc">distributed docs</span></a> for the different backends.</p>
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<section id="usage">
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<h2>Usage<a class="headerlink" href="#usage" title="Link to this heading">#</a></h2>
|
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<p>The minimal usage example of <code class="docutils literal notranslate"><span class="pre">mlx.launch</span></code> is simply</p>
|
|
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>mlx.launch<span class="w"> </span>--hosts<span class="w"> </span>ip1,ip2<span class="w"> </span>my_script.py
|
|
</pre></div>
|
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</div>
|
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<p>or for testing on localhost</p>
|
|
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>mlx.launch<span class="w"> </span>-n<span class="w"> </span><span class="m">2</span><span class="w"> </span>my_script.py
|
|
</pre></div>
|
|
</div>
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<p>The <code class="docutils literal notranslate"><span class="pre">mlx.launch</span></code> command connects to the provided host and launches the input
|
|
script on each host. It monitors each of the launched processes and terminates
|
|
the rest if one of them fails unexpectedly or if <code class="docutils literal notranslate"><span class="pre">mlx.launch</span></code> is terminated.
|
|
It also takes care of forwarding the output of each remote process to stdout
|
|
and stderr respectively.</p>
|
|
<section id="providing-hosts">
|
|
<h3>Providing Hosts<a class="headerlink" href="#providing-hosts" title="Link to this heading">#</a></h3>
|
|
<p>Hosts can be provided as command line arguments, like above, but the way that
|
|
allows to fully define a list of hosts is via a JSON hostfile. The hostfile has
|
|
a very simple schema. It is simply a list of objects that define each host via
|
|
a hostname to ssh to and a list of IPs to utilize for the communication.</p>
|
|
<div class="highlight-json notranslate"><div class="highlight"><pre><span></span><span class="p">[</span>
|
|
<span class="w"> </span><span class="p">{</span><span class="nt">"ssh"</span><span class="p">:</span><span class="w"> </span><span class="s2">"hostname1"</span><span class="p">,</span><span class="w"> </span><span class="nt">"ips"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">"123.123.1.1"</span><span class="p">,</span><span class="w"> </span><span class="s2">"123.123.2.1"</span><span class="p">]},</span>
|
|
<span class="w"> </span><span class="p">{</span><span class="nt">"ssh"</span><span class="p">:</span><span class="w"> </span><span class="s2">"hostname2"</span><span class="p">,</span><span class="w"> </span><span class="nt">"ips"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">"123.123.1.2"</span><span class="p">,</span><span class="w"> </span><span class="s2">"123.123.2.2"</span><span class="p">]}</span>
|
|
<span class="p">]</span>
|
|
</pre></div>
|
|
</div>
|
|
<p>You can use <code class="docutils literal notranslate"><span class="pre">mlx.distributed_config</span> <span class="pre">--over</span> <span class="pre">ethernet</span></code> to create a hostfile
|
|
with IPs corresponding to the <code class="docutils literal notranslate"><span class="pre">en0</span></code> interface.</p>
|
|
</section>
|
|
<section id="setting-up-remote-hosts">
|
|
<h3>Setting up Remote Hosts<a class="headerlink" href="#setting-up-remote-hosts" title="Link to this heading">#</a></h3>
|
|
<p>In order to be able to launch the script on each host we need to be able to
|
|
connect via ssh. Moreover the input script and python binary need to be on each
|
|
host and on the same path. A good checklist to debug errors is the following:</p>
|
|
<ul class="simple">
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">ssh</span> <span class="pre">hostname</span></code> works without asking for password or host confirmation</p></li>
|
|
<li><p>the python binary is available on all hosts at the same path. You can use
|
|
<code class="docutils literal notranslate"><span class="pre">mlx.launch</span> <span class="pre">--print-python</span></code> to see what that path is.</p></li>
|
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<li><p>the script you want to run is available on all hosts at the same path</p></li>
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</ul>
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</section>
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</section>
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<section id="mpi-specifics">
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<span id="id1"></span><h2>MPI Specifics<a class="headerlink" href="#mpi-specifics" title="Link to this heading">#</a></h2>
|
|
<p>One can use MPI by passing <code class="docutils literal notranslate"><span class="pre">--backend</span> <span class="pre">mpi</span></code> to <code class="docutils literal notranslate"><span class="pre">mlx.launch</span></code>. In that case,
|
|
<code class="docutils literal notranslate"><span class="pre">mlx.launch</span></code> is a thin wrapper over <code class="docutils literal notranslate"><span class="pre">mpirun</span></code>. Moreover,</p>
|
|
<ul class="simple">
|
|
<li><p>The IPs in the hostfile are ignored</p></li>
|
|
<li><p>The ssh connectivity requirement is stronger as every node needs to be able
|
|
to connect to every other node</p></li>
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">mpirun</span></code> needs to be available on every node at the same path</p></li>
|
|
</ul>
|
|
<p>Finally, one can pass arguments to <code class="docutils literal notranslate"><span class="pre">mpirun</span></code> using <code class="docutils literal notranslate"><span class="pre">--mpi-arg</span></code>. For instance
|
|
to choose a specific interface for the byte-transfer-layer of MPI we can call
|
|
<code class="docutils literal notranslate"><span class="pre">mlx.launch</span></code> as follows:</p>
|
|
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>mlx.launch<span class="w"> </span>--backend<span class="w"> </span>mpi<span class="w"> </span>--mpi-arg<span class="w"> </span><span class="s1">'--mca btl_tcp_if_include en0'</span><span class="w"> </span>--hostfile<span class="w"> </span>hosts.json<span class="w"> </span>my_script.py
|
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</pre></div>
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</div>
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</section>
|
|
<section id="ring-specifics">
|
|
<span id="id2"></span><h2>Ring Specifics<a class="headerlink" href="#ring-specifics" title="Link to this heading">#</a></h2>
|
|
<p>The ring backend, which is also the default backend, can be explicitly selected
|
|
with the argument <code class="docutils literal notranslate"><span class="pre">--backend</span> <span class="pre">ring</span></code>. The ring backend has some specific
|
|
requirements and arguments that are different to MPI:</p>
|
|
<ul class="simple">
|
|
<li><p>The argument <code class="docutils literal notranslate"><span class="pre">--hosts</span></code> only accepts IPs and not hostnames. If we need to
|
|
ssh to a hostname that does not correspond to the IP we want to bind to we
|
|
have to provide a hostfile.</p></li>
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">--starting-port</span></code> defines the port to bind to on the remote hosts.
|
|
Specifically rank 0 for the first IP will use this port and each subsequent
|
|
IP or rank will add 1 to this port.</p></li>
|
|
<li><p><code class="docutils literal notranslate"><span class="pre">--connections-per-ip</span></code> allows us to increase the number of connections
|
|
between neighboring nodes. This corresponds to <code class="docutils literal notranslate"><span class="pre">--mca</span> <span class="pre">btl_tcp_links</span> <span class="pre">2</span></code> for
|
|
<code class="docutils literal notranslate"><span class="pre">mpirun</span></code>.</p></li>
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</ul>
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</section>
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<footer class="bd-footer-content">
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<div class="bd-footer-content__inner container">
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<div class="footer-item">
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<p class="component-author">
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By MLX Contributors
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</p>
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</div>
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<div class="footer-item">
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<p class="copyright">
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© Copyright 2023, MLX Contributors.
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<br/>
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</p>
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</div>
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<div class="footer-item">
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</div>
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<div class="footer-item">
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</div>
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</div>
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</footer>
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</main>
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</div>
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</div>
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<!-- Scripts loaded after <body> so the DOM is not blocked -->
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<script src="../_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b"></script>
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<footer class="bd-footer">
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</footer>
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</body>
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</html> |