diff --git a/docs/build/html/.buildinfo b/docs/build/html/.buildinfo index e8163c94..0bdadc03 100644 --- a/docs/build/html/.buildinfo +++ b/docs/build/html/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 7192ed07ca0b377e57ed9f17cbd933a4 +config: 78e86a9caf7acb193f064f97ea2f4572 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.array.round.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.array.round.rst new file mode 100644 index 00000000..9a427018 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.array.round.rst @@ -0,0 +1,6 @@ +mlx.core.array.round +==================== + +.. currentmodule:: mlx.core + +.. automethod:: array.round \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.array.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.array.rst index a93bbadc..1a56a582 100644 --- a/docs/build/html/_sources/python/_autosummary/mlx.core.array.rst +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.array.rst @@ -40,6 +40,7 @@ ~array.prod ~array.reciprocal ~array.reshape + ~array.round ~array.rsqrt ~array.sin ~array.split diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.clip.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.clip.rst new file mode 100644 index 00000000..12db7db2 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.clip.rst @@ -0,0 +1,6 @@ +mlx.core.clip +============= + +.. currentmodule:: mlx.core + +.. autofunction:: clip \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.dequantize.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.dequantize.rst new file mode 100644 index 00000000..de7cfe21 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.dequantize.rst @@ -0,0 +1,6 @@ +mlx.core.dequantize +=================== + +.. currentmodule:: mlx.core + +.. autofunction:: dequantize \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.floor_divide.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.floor_divide.rst new file mode 100644 index 00000000..d28782c7 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.floor_divide.rst @@ -0,0 +1,6 @@ +mlx.core.floor\_divide +====================== + +.. currentmodule:: mlx.core + +.. autofunction:: floor_divide \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.linspace.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.linspace.rst new file mode 100644 index 00000000..42e329d2 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.linspace.rst @@ -0,0 +1,6 @@ +mlx.core.linspace +================= + +.. currentmodule:: mlx.core + +.. autofunction:: linspace \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.quantize.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.quantize.rst new file mode 100644 index 00000000..386d8bc8 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.quantize.rst @@ -0,0 +1,6 @@ +mlx.core.quantize +================= + +.. currentmodule:: mlx.core + +.. autofunction:: quantize \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.quantized_matmul.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.quantized_matmul.rst new file mode 100644 index 00000000..3e358f1a --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.quantized_matmul.rst @@ -0,0 +1,6 @@ +mlx.core.quantized\_matmul +========================== + +.. currentmodule:: mlx.core + +.. autofunction:: quantized_matmul \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.core.round.rst b/docs/build/html/_sources/python/_autosummary/mlx.core.round.rst new file mode 100644 index 00000000..ca752fce --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.core.round.rst @@ -0,0 +1,6 @@ +mlx.core.round +============== + +.. currentmodule:: mlx.core + +.. autofunction:: round \ No newline at end of file diff --git a/docs/build/html/_sources/python/_autosummary/mlx.nn.Module.rst b/docs/build/html/_sources/python/_autosummary/mlx.nn.Module.rst index 79f55b25..8b28b3ac 100644 --- a/docs/build/html/_sources/python/_autosummary/mlx.nn.Module.rst +++ b/docs/build/html/_sources/python/_autosummary/mlx.nn.Module.rst @@ -41,6 +41,7 @@ ~Module.trainable_parameters ~Module.unfreeze ~Module.update + ~Module.update_modules ~Module.valid_child_filter ~Module.valid_parameter_filter ~Module.values diff --git a/docs/build/html/_sources/python/_autosummary/mlx.optimizers.Lion.rst b/docs/build/html/_sources/python/_autosummary/mlx.optimizers.Lion.rst new file mode 100644 index 00000000..a00dc50f --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary/mlx.optimizers.Lion.rst @@ -0,0 +1,18 @@ +mlx.optimizers.Lion +=================== + +.. currentmodule:: mlx.optimizers + +.. autoclass:: Lion + + + + + .. rubric:: Methods + + .. autosummary:: + + ~Lion.__init__ + ~Lion.apply_single + + diff --git a/docs/build/html/_sources/python/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst b/docs/build/html/_sources/python/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst new file mode 100644 index 00000000..00a647a7 --- /dev/null +++ b/docs/build/html/_sources/python/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst @@ -0,0 +1,8 @@ +mlx.nn.losses.smooth\_l1\_loss +============================== + +.. currentmodule:: mlx.nn.losses + +.. autoclass:: smooth_l1_loss + + \ No newline at end of file diff --git a/docs/build/html/_sources/python/array.rst b/docs/build/html/_sources/python/array.rst index 96ddd32b..e96e7234 100644 --- a/docs/build/html/_sources/python/array.rst +++ b/docs/build/html/_sources/python/array.rst @@ -34,6 +34,7 @@ Array array.prod array.reciprocal array.reshape + array.round array.rsqrt array.sin array.split diff --git a/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.QuantizedLinear.rst b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.QuantizedLinear.rst new file mode 100644 index 00000000..ccbde434 --- /dev/null +++ b/docs/build/html/_sources/python/nn/_autosummary/mlx.nn.QuantizedLinear.rst @@ -0,0 +1,8 @@ +mlx.nn.QuantizedLinear +====================== + +.. currentmodule:: mlx.nn + +.. autoclass:: QuantizedLinear + + \ No newline at end of file diff --git a/docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst b/docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst new file mode 100644 index 00000000..00a647a7 --- /dev/null +++ b/docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.rst @@ -0,0 +1,8 @@ +mlx.nn.losses.smooth\_l1\_loss +============================== + +.. currentmodule:: mlx.nn.losses + +.. autoclass:: smooth_l1_loss + + \ No newline at end of file diff --git a/docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.rst b/docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.rst new file mode 100644 index 00000000..4698d615 --- /dev/null +++ b/docs/build/html/_sources/python/nn/_autosummary_functions/mlx.nn.losses.triplet_loss.rst @@ -0,0 +1,8 @@ +mlx.nn.losses.triplet\_loss +=========================== + +.. currentmodule:: mlx.nn.losses + +.. autoclass:: triplet_loss + + \ No newline at end of file diff --git a/docs/build/html/_sources/python/nn/layers.rst b/docs/build/html/_sources/python/nn/layers.rst index 5628134d..fab3ff78 100644 --- a/docs/build/html/_sources/python/nn/layers.rst +++ b/docs/build/html/_sources/python/nn/layers.rst @@ -26,3 +26,4 @@ Layers RoPE MultiHeadAttention Sequential + QuantizedLinear diff --git a/docs/build/html/_sources/python/nn/losses.rst b/docs/build/html/_sources/python/nn/losses.rst index 4808ce5a..b6a202d4 100644 --- a/docs/build/html/_sources/python/nn/losses.rst +++ b/docs/build/html/_sources/python/nn/losses.rst @@ -9,9 +9,11 @@ Loss Functions :toctree: _autosummary_functions :template: nn-module-template.rst - cross_entropy binary_cross_entropy + cross_entropy + kl_div_loss l1_loss mse_loss nll_loss - kl_div_loss + smooth_l1_loss + triplet_loss \ No newline at end of file diff --git a/docs/build/html/_sources/python/ops.rst b/docs/build/html/_sources/python/ops.rst index ea25b90f..7e391ec4 100644 --- a/docs/build/html/_sources/python/ops.rst +++ b/docs/build/html/_sources/python/ops.rst @@ -27,12 +27,14 @@ Operations array_equal broadcast_to ceil + clip concatenate convolve conv1d conv2d cos cosh + dequantize divide equal erf @@ -40,14 +42,16 @@ Operations exp expand_dims eye - floor flatten + floor + floor_divide full greater greater_equal identity less less_equal + linspace load log log2 @@ -70,8 +74,11 @@ Operations partition pad prod + quantize + quantized_matmul reciprocal reshape + round rsqrt save savez diff --git a/docs/build/html/_sources/python/optimizers.rst b/docs/build/html/_sources/python/optimizers.rst index b8e5cfea..7cc6ef90 100644 --- a/docs/build/html/_sources/python/optimizers.rst +++ b/docs/build/html/_sources/python/optimizers.rst @@ -44,3 +44,4 @@ model's parameters and the **optimizer state**. Adam AdamW Adamax + Lion diff --git a/docs/build/html/_static/documentation_options.js b/docs/build/html/_static/documentation_options.js index 0339f4d4..14cb7e61 100644 --- a/docs/build/html/_static/documentation_options.js +++ b/docs/build/html/_static/documentation_options.js @@ -1,6 +1,6 @@ var DOCUMENTATION_OPTIONS = { URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), - VERSION: '0.0.5', + VERSION: '0.0.6', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/docs/build/html/cpp/ops.html b/docs/build/html/cpp/ops.html index a6e660fe..0509907b 100644 --- a/docs/build/html/cpp/ops.html +++ b/docs/build/html/cpp/ops.html @@ -9,7 +9,7 @@ - Operations — MLX 0.0.5 documentation + Operations — MLX 0.0.6 documentation @@ -134,8 +134,8 @@ - MLX 0.0.5 documentation - Home - + MLX 0.0.6 documentation - Home + @@ -186,6 +186,7 @@
  • mlx.core.array.prod
  • mlx.core.array.reciprocal
  • mlx.core.array.reshape
    • +
  • mlx.core.array.round
  • mlx.core.array.rsqrt
  • mlx.core.array.sin
  • mlx.core.array.split
    • @@ -227,12 +228,14 @@
  • mlx.core.array_equal
  • mlx.core.broadcast_to
  • mlx.core.ceil
    • +
  • mlx.core.clip
  • mlx.core.concatenate
  • mlx.core.convolve
  • mlx.core.conv1d
  • mlx.core.conv2d
  • mlx.core.cos
  • mlx.core.cosh
    • +
  • mlx.core.dequantize
  • mlx.core.divide
  • mlx.core.equal
  • mlx.core.erf
    • @@ -240,14 +243,16 @@
  • mlx.core.exp
  • mlx.core.expand_dims
  • mlx.core.eye
    • -
  • mlx.core.floor
  • mlx.core.flatten
    • +
  • mlx.core.floor
    • +
  • mlx.core.floor_divide
  • mlx.core.full
  • mlx.core.greater
  • mlx.core.greater_equal
  • mlx.core.identity
  • mlx.core.less
  • mlx.core.less_equal
    • +
  • mlx.core.linspace
  • mlx.core.load
  • mlx.core.log
  • mlx.core.log2
    • @@ -270,8 +275,11 @@
  • mlx.core.partition
  • mlx.core.pad
  • mlx.core.prod
    • +
  • mlx.core.quantize
    • +
  • mlx.core.quantized_matmul
  • mlx.core.reciprocal
  • mlx.core.reshape
    • +
  • mlx.core.round
  • mlx.core.rsqrt
  • mlx.core.save
  • mlx.core.savez
    • @@ -364,6 +372,7 @@
  • mlx.nn.RoPE
  • mlx.nn.MultiHeadAttention
  • mlx.nn.Sequential
    • +
  • mlx.nn.QuantizedLinear
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -398,6 +409,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -396,6 +407,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils +

    Q

    + + + +
    +

    R

    - + - + + + + - + - + - + - + - + - + - + - + - + - + diff --git a/docs/build/html/python/_autosummary/mlx.core.array.item.html b/docs/build/html/python/_autosummary/mlx.core.array.item.html index 1bcb7c26..5853461b 100644 --- a/docs/build/html/python/_autosummary/mlx.core.array.item.html +++ b/docs/build/html/python/_autosummary/mlx.core.array.item.html @@ -9,7 +9,7 @@ - mlx.core.array.item — MLX 0.0.5 documentation + mlx.core.array.item — MLX 0.0.6 documentation @@ -134,8 +134,8 @@ - MLX 0.0.5 documentation - Home - + MLX 0.0.6 documentation - Home + @@ -186,6 +186,7 @@
  • mlx.core.array.prod
  • mlx.core.array.reciprocal
  • mlx.core.array.reshape
    • +
  • mlx.core.array.round
  • mlx.core.array.rsqrt
  • mlx.core.array.sin
  • mlx.core.array.split
    • @@ -227,12 +228,14 @@
  • mlx.core.array_equal
  • mlx.core.broadcast_to
  • mlx.core.ceil
    • +
  • mlx.core.clip
  • mlx.core.concatenate
  • mlx.core.convolve
  • mlx.core.conv1d
  • mlx.core.conv2d
  • mlx.core.cos
  • mlx.core.cosh
    • +
  • mlx.core.dequantize
  • mlx.core.divide
  • mlx.core.equal
  • mlx.core.erf
    • @@ -240,14 +243,16 @@
  • mlx.core.exp
  • mlx.core.expand_dims
  • mlx.core.eye
    • -
  • mlx.core.floor
  • mlx.core.flatten
    • +
  • mlx.core.floor
    • +
  • mlx.core.floor_divide
  • mlx.core.full
  • mlx.core.greater
  • mlx.core.greater_equal
  • mlx.core.identity
  • mlx.core.less
  • mlx.core.less_equal
    • +
  • mlx.core.linspace
  • mlx.core.load
  • mlx.core.log
  • mlx.core.log2
    • @@ -270,8 +275,11 @@
  • mlx.core.partition
  • mlx.core.pad
  • mlx.core.prod
    • +
  • mlx.core.quantize
    • +
  • mlx.core.quantized_matmul
  • mlx.core.reciprocal
  • mlx.core.reshape
    • +
  • mlx.core.round
  • mlx.core.rsqrt
  • mlx.core.save
  • mlx.core.savez
    • @@ -364,6 +372,7 @@
  • mlx.nn.RoPE
  • mlx.nn.MultiHeadAttention
  • mlx.nn.Sequential
    • +
  • mlx.nn.QuantizedLinear
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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    • +
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    • +
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      @@ -379,12 +388,14 @@
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    • +
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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    • +
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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    • +
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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    • +
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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      @@ -718,13 +730,16 @@ set by calling
    • - + + + + - + - + diff --git a/docs/build/html/python/_autosummary/mlx.nn.value_and_grad.html b/docs/build/html/python/_autosummary/mlx.nn.value_and_grad.html index 37798613..59b3764b 100644 --- a/docs/build/html/python/_autosummary/mlx.nn.value_and_grad.html +++ b/docs/build/html/python/_autosummary/mlx.nn.value_and_grad.html @@ -9,7 +9,7 @@ - mlx.nn.value_and_grad — MLX 0.0.5 documentation + mlx.nn.value_and_grad — MLX 0.0.6 documentation @@ -134,8 +134,8 @@ - MLX 0.0.5 documentation - Home - + MLX 0.0.6 documentation - Home + @@ -186,6 +186,7 @@
  • mlx.core.array.prod
  • mlx.core.array.reciprocal
  • mlx.core.array.reshape
    • +
  • mlx.core.array.round
  • mlx.core.array.rsqrt
  • mlx.core.array.sin
  • mlx.core.array.split
    • @@ -227,12 +228,14 @@
  • mlx.core.array_equal
  • mlx.core.broadcast_to
  • mlx.core.ceil
    • +
  • mlx.core.clip
  • mlx.core.concatenate
  • mlx.core.convolve
  • mlx.core.conv1d
  • mlx.core.conv2d
  • mlx.core.cos
  • mlx.core.cosh
    • +
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  • mlx.core.divide
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  • mlx.core.erf
    • @@ -240,14 +243,16 @@
  • mlx.core.exp
  • mlx.core.expand_dims
  • mlx.core.eye
    • -
  • mlx.core.floor
  • mlx.core.flatten
    • +
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    • +
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  • mlx.core.full
  • mlx.core.greater
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  • mlx.core.identity
  • mlx.core.less
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    • +
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  • mlx.core.load
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    • @@ -270,8 +275,11 @@
  • mlx.core.partition
  • mlx.core.pad
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    • +
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    • +
  • mlx.core.quantized_matmul
  • mlx.core.reciprocal
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    • +
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  • mlx.core.rsqrt
  • mlx.core.save
  • mlx.core.savez
    • @@ -364,6 +372,7 @@
  • mlx.nn.RoPE
  • mlx.nn.MultiHeadAttention
  • mlx.nn.Sequential
    • +
  • mlx.nn.QuantizedLinear
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
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  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
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  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
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  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
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      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
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    • +
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  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
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    • +
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  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
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    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
      @@ -675,37 +687,40 @@ document.write(`

    • reshape(self, *args[, stream])

    Equivalent to reshape() but the shape can be passed either as a tuple or as separate arguments.

    rsqrt(self, *[, stream])

    round(self, /[, decimals, stream])

    See round().

    rsqrt(self, *[, stream])

    See rsqrt().

    sin(self, *[, stream])

    sin(self, *[, stream])

    See sin().

    split(self, indices_or_sections[, axis, stream])

    split(self, indices_or_sections[, axis, stream])

    See split().

    sqrt(self, *[, stream])

    sqrt(self, *[, stream])

    See sqrt().

    square(self, *[, stream])

    square(self, *[, stream])

    See square().

    squeeze(self[, axis, stream])

    squeeze(self[, axis, stream])

    See squeeze().

    sum(self[, axis, keepdims, stream])

    sum(self[, axis, keepdims, stream])

    See sum().

    swapaxes(self, axis1, axis2, *[, stream])

    swapaxes(self, axis1, axis2, *[, stream])

    See moveaxis().

    tolist(self)

    tolist(self)

    Convert the array to a Python list.

    transpose(self, *args[, stream])

    transpose(self, *args[, stream])

    Equivalent to transpose() but the axes can be passed either as a tuple or as separate arguments.

    var(self[, axis, keepdims, ddof, stream])

    var(self[, axis, keepdims, ddof, stream])

    See var().

    update(parameters)

    Replace the parameters of this Module with the provided ones in the dict of dicts and lists.

    valid_child_filter(module, key, value)

    update_modules(modules)

    Replace the child modules of this Module instance with the provided ones in the dict of dicts and lists.

    valid_child_filter(module, key, value)

    valid_parameter_filter(module, key, value)

    valid_parameter_filter(module, key, value)

    values()

    values()

    + + + + + + + + +

    __init__(learning_rate[, betas, weight_decay])

    apply_single(gradient, parameter, state)

    Performs the Lion parameter update and stores \(m\) in the optimizer state.

    + + + + + + + + + + + + + + + + + + + + +
    + +
    + +
    + +

    +By MLX Contributors +

    + +
    + +
    + + +

    + + © Copyright 2023, MLX Contributors. +
    + +

    + +
    + +
    + +
    + +
    + +
    + +
    +
    + + + + + + + + + + +
    +
    + + \ No newline at end of file diff --git a/docs/build/html/python/_autosummary/mlx.optimizers.Optimizer.html b/docs/build/html/python/_autosummary/mlx.optimizers.Optimizer.html index a97e1206..d114a555 100644 --- a/docs/build/html/python/_autosummary/mlx.optimizers.Optimizer.html +++ b/docs/build/html/python/_autosummary/mlx.optimizers.Optimizer.html @@ -9,7 +9,7 @@ - mlx.optimizers.Optimizer — MLX 0.0.5 documentation + mlx.optimizers.Optimizer — MLX 0.0.6 documentation @@ -134,8 +134,8 @@ - MLX 0.0.5 documentation - Home - + MLX 0.0.6 documentation - Home + @@ -186,6 +186,7 @@
  • mlx.core.array.prod
  • mlx.core.array.reciprocal
  • mlx.core.array.reshape
    • +
  • mlx.core.array.round
  • mlx.core.array.rsqrt
  • mlx.core.array.sin
  • mlx.core.array.split
    • @@ -227,12 +228,14 @@
  • mlx.core.array_equal
  • mlx.core.broadcast_to
  • mlx.core.ceil
    • +
  • mlx.core.clip
  • mlx.core.concatenate
  • mlx.core.convolve
  • mlx.core.conv1d
  • mlx.core.conv2d
  • mlx.core.cos
  • mlx.core.cosh
    • +
  • mlx.core.dequantize
  • mlx.core.divide
  • mlx.core.equal
  • mlx.core.erf
    • @@ -240,14 +243,16 @@
  • mlx.core.exp
  • mlx.core.expand_dims
  • mlx.core.eye
    • -
  • mlx.core.floor
  • mlx.core.flatten
    • +
  • mlx.core.floor
    • +
  • mlx.core.floor_divide
  • mlx.core.full
  • mlx.core.greater
  • mlx.core.greater_equal
  • mlx.core.identity
  • mlx.core.less
  • mlx.core.less_equal
    • +
  • mlx.core.linspace
  • mlx.core.load
  • mlx.core.log
  • mlx.core.log2
    • @@ -270,8 +275,11 @@
  • mlx.core.partition
  • mlx.core.pad
  • mlx.core.prod
    • +
  • mlx.core.quantize
    • +
  • mlx.core.quantized_matmul
  • mlx.core.reciprocal
  • mlx.core.reshape
    • +
  • mlx.core.round
  • mlx.core.rsqrt
  • mlx.core.save
  • mlx.core.savez
    • @@ -364,6 +372,7 @@
  • mlx.nn.RoPE
  • mlx.nn.MultiHeadAttention
  • mlx.nn.Sequential
    • +
  • mlx.nn.QuantizedLinear
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -377,12 +386,14 @@
  • Loss Functions
    • @@ -397,6 +408,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -784,12 +797,14 @@ parameters as the first argument to the function returned by
  • Loss Functions
    • diff --git a/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html b/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html index 82157914..ab43288a 100644 --- a/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html +++ b/docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html @@ -9,7 +9,7 @@ - mlx.nn.Conv1d — MLX 0.0.5 documentation + mlx.nn.Conv1d — MLX 0.0.6 documentation @@ -134,8 +134,8 @@ - MLX 0.0.5 documentation - Home - + MLX 0.0.6 documentation - Home + @@ -186,6 +186,7 @@
  • mlx.core.array.prod
  • mlx.core.array.reciprocal
  • mlx.core.array.reshape
    • +
  • mlx.core.array.round
  • mlx.core.array.rsqrt
  • mlx.core.array.sin
  • mlx.core.array.split
    • @@ -227,12 +228,14 @@
  • mlx.core.array_equal
  • mlx.core.broadcast_to
  • mlx.core.ceil
    • +
  • mlx.core.clip
  • mlx.core.concatenate
  • mlx.core.convolve
  • mlx.core.conv1d
  • mlx.core.conv2d
  • mlx.core.cos
  • mlx.core.cosh
    • +
  • mlx.core.dequantize
  • mlx.core.divide
  • mlx.core.equal
  • mlx.core.erf
    • @@ -240,14 +243,16 @@
  • mlx.core.exp
  • mlx.core.expand_dims
  • mlx.core.eye
    • -
  • mlx.core.floor
  • mlx.core.flatten
    • +
  • mlx.core.floor
    • +
  • mlx.core.floor_divide
  • mlx.core.full
  • mlx.core.greater
  • mlx.core.greater_equal
  • mlx.core.identity
  • mlx.core.less
  • mlx.core.less_equal
    • +
  • mlx.core.linspace
  • mlx.core.load
  • mlx.core.log
  • mlx.core.log2
    • @@ -270,8 +275,11 @@
  • mlx.core.partition
  • mlx.core.pad
  • mlx.core.prod
    • +
  • mlx.core.quantize
    • +
  • mlx.core.quantized_matmul
  • mlx.core.reciprocal
  • mlx.core.reshape
    • +
  • mlx.core.round
  • mlx.core.rsqrt
  • mlx.core.save
  • mlx.core.savez
    • @@ -364,6 +372,7 @@
  • mlx.nn.RoPE
  • mlx.nn.MultiHeadAttention
  • mlx.nn.Sequential
    • +
  • mlx.nn.QuantizedLinear
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -380,12 +389,14 @@
  • Loss Functions
    • @@ -400,6 +411,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
      @@ -641,24 +653,30 @@ document.write(`

      ceil(a, /, *[, stream])

      Element-wise ceil.

      -

      concatenate(arrays[, axis, stream])

      +

      clip(a, /, a_min, a_max, *[, stream])

      +

      Clip the values of the array between the given minimum and maximum.

      + +

      concatenate(arrays[, axis, stream])

      Concatenate the arrays along the given axis.

      -

      convolve(a, v, /[, mode, stream])

      +

      convolve(a, v, /[, mode, stream])

      The discrete convolution of 1D arrays.

      -

      conv1d(input, weight, /[, stride, padding, ...])

      +

      conv1d(input, weight, /[, stride, padding, ...])

      1D convolution over an input with several channels

      -

      conv2d(input, weight, /[, stride, padding, ...])

      +

      conv2d(input, weight, /[, stride, padding, ...])

      2D convolution over an input with several channels

      -

      cos(a, /, *[, stream])

      +

      cos(a, /, *[, stream])

      Element-wise cosine.

      -

      cosh(a, /, *[, stream])

      +

      cosh(a, /, *[, stream])

      Element-wise hyperbolic cosine.

      +

      dequantize(w, /, scales, biases[, ...])

      +

      Dequantize the matrix w using the provided scales and biases and the group_size and bits configuration.

      +

      divide(a, b[, stream])

      Element-wise division.

      @@ -680,30 +698,36 @@ document.write(`

      eye(n[, m, k, dtype, stream])

      Create an identity matrix or a general diagonal matrix.

      -

      floor(a, /, *[, stream])

      -

      Element-wise floor.

      - -

      flatten(a, /[, start_axis, end_axis, stream])

      +

      flatten(a, /[, start_axis, end_axis, stream])

      Flatten an array.

      -

      full(shape, vals[, dtype, stream])

      +

      floor(a, /, *[, stream])

      +

      Element-wise floor.

      + +

      floor_divide(a, b[, stream])

      +

      Element-wise integer division.

      + +

      full(shape, vals[, dtype, stream])

      Construct an array with the given value.

      -

      greater(a, b[, stream])

      +

      greater(a, b[, stream])

      Element-wise greater than.

      -

      greater_equal(a, b[, stream])

      +

      greater_equal(a, b[, stream])

      Element-wise greater or equal.

      -

      identity(n[, dtype, stream])

      +

      identity(n[, dtype, stream])

      Create a square identity matrix.

      -

      less(a, b[, stream])

      +

      less(a, b[, stream])

      Element-wise less than.

      -

      less_equal(a, b[, stream])

      +

      less_equal(a, b[, stream])

      Element-wise less than or equal.

      +

      linspace(start, stop[, num, dtype, stream])

      +

      Generate num evenly spaced numbers over interval [start, stop].

      +

      load(file, /, *[, stream])

      Load array(s) from a binary file in .npy or .npz format.

      @@ -770,103 +794,112 @@ document.write(`

      prod(a, /[, axis, keepdims, stream])

      An product reduction over the given axes.

      +

      quantize(w, /[, group_size, bits, stream])

      +

      Quantize the matrix w using bits bits per element.

      + +

      quantized_matmul(x, w, scales, biases, /[, ...])

      +

      Perform the matrix multiplication with the quantized matrix w.

      +

      reciprocal(a, /, *[, stream])

      Element-wise reciprocal.

      reshape(a, /, shape, *[, stream])

      Reshape an array while preserving the size.

      -

      rsqrt(a, /, *[, stream])

      +

      round(a, /[, decimals, stream])

      +

      Round to the given number of decimals.

      + +

      rsqrt(a, /, *[, stream])

      Element-wise reciprocal and square root.

      -

      save(file, arr, /[, retain_graph])

      +

      save(file, arr, /[, retain_graph])

      Save the array to a binary file in .npy format.

      -

      savez(file, *args, **kwargs)

      +

      savez(file, *args, **kwargs)

      Save several arrays to a binary file in uncompressed .npz format.

      -

      savez_compressed(file, *args, **kwargs)

      +

      savez_compressed(file, *args, **kwargs)

      Save several arrays to a binary file in compressed .npz format.

      -

      sigmoid(a, /, *[, stream])

      +

      sigmoid(a, /, *[, stream])

      Element-wise logistic sigmoid.

      -

      sign(a, /, *[, stream])

      +

      sign(a, /, *[, stream])

      Element-wise sign.

      -

      sin(a, /, *[, stream])

      +

      sin(a, /, *[, stream])

      Element-wise sine.

      -

      sinh(a, /, *[, stream])

      +

      sinh(a, /, *[, stream])

      Element-wise hyperbolic sine.

      -

      softmax(a, /[, axis, stream])

      +

      softmax(a, /[, axis, stream])

      Perform the softmax along the given axis.

      -

      sort(a, /[, axis, stream])

      +

      sort(a, /[, axis, stream])

      Returns a sorted copy of the array.

      -

      split(a, /, indices_or_sections[, axis, stream])

      +

      split(a, /, indices_or_sections[, axis, stream])

      Split an array along a given axis.

      -

      sqrt(a, /, *[, stream])

      +

      sqrt(a, /, *[, stream])

      Element-wise square root.

      -

      square(a, /, *[, stream])

      +

      square(a, /, *[, stream])

      Element-wise square.

      -

      squeeze(a, /[, axis, stream])

      +

      squeeze(a, /[, axis, stream])

      Remove length one axes from an array.

      -

      stack(arrays[, axis, stream])

      +

      stack(arrays[, axis, stream])

      Stacks the arrays along a new axis.

      -

      stop_gradient(a, /, *[, stream])

      +

      stop_gradient(a, /, *[, stream])

      Stop gradients from being computed.

      -

      subtract(a, b[, stream])

      +

      subtract(a, b[, stream])

      Element-wise subtraction.

      -

      sum(a, /[, axis, keepdims, stream])

      +

      sum(a, /[, axis, keepdims, stream])

      Sum reduce the array over the given axes.

      -

      swapaxes(a, /, axis1, axis2, *[, stream])

      +

      swapaxes(a, /, axis1, axis2, *[, stream])

      Swap two axes of an array.

      -

      take(a, /, indices[, axis, stream])

      +

      take(a, /, indices[, axis, stream])

      Take elements along an axis.

      -

      take_along_axis(a, /, indices[, axis, stream])

      +

      take_along_axis(a, /, indices[, axis, stream])

      Take values along an axis at the specified indices.

      -

      tan(a, /, *[, stream])

      +

      tan(a, /, *[, stream])

      Element-wise tangent.

      -

      tanh(a, /, *[, stream])

      +

      tanh(a, /, *[, stream])

      Element-wise hyperbolic tangent.

      -

      transpose(a, /[, axes, stream])

      +

      transpose(a, /[, axes, stream])

      Transpose the dimensions of the array.

      -

      tri(n, m, k[, dtype, stream])

      +

      tri(n, m, k[, dtype, stream])

      An array with ones at and below the given diagonal and zeros elsewhere.

      -

      tril(x, k, *[, stream])

      +

      tril(x, k, *[, stream])

      Zeros the array above the given diagonal.

      -

      triu(x, k, *[, stream])

      +

      triu(x, k, *[, stream])

      Zeros the array below the given diagonal.

      -

      var(a, /[, axis, keepdims, ddof, stream])

      +

      var(a, /[, axis, keepdims, ddof, stream])

      Compute the variance(s) over the given axes.

      -

      where(condition, x, y, /, *[, stream])

      +

      where(condition, x, y, /, *[, stream])

      Select from x or y according to condition.

      -

      zeros(shape[, dtype, stream])

      +

      zeros(shape[, dtype, stream])

      Construct an array of zeros.

      -

      zeros_like(a, /, *[, stream])

      +

      zeros_like(a, /, *[, stream])

      An array of zeros like the input.

      diff --git a/docs/build/html/python/optimizers.html b/docs/build/html/python/optimizers.html index 42c2cc15..bd3b0fb2 100644 --- a/docs/build/html/python/optimizers.html +++ b/docs/build/html/python/optimizers.html @@ -9,7 +9,7 @@ - Optimizers — MLX 0.0.5 documentation + Optimizers — MLX 0.0.6 documentation @@ -47,7 +47,7 @@ - + @@ -134,8 +134,8 @@ - MLX 0.0.5 documentation - Home - + MLX 0.0.6 documentation - Home + @@ -186,6 +186,7 @@
    • mlx.core.array.prod
    • mlx.core.array.reciprocal
    • mlx.core.array.reshape
      • +
    • mlx.core.array.round
    • mlx.core.array.rsqrt
    • mlx.core.array.sin
    • mlx.core.array.split
      • @@ -227,12 +228,14 @@
    • mlx.core.array_equal
    • mlx.core.broadcast_to
    • mlx.core.ceil
      • +
    • mlx.core.clip
    • mlx.core.concatenate
    • mlx.core.convolve
    • mlx.core.conv1d
    • mlx.core.conv2d
    • mlx.core.cos
    • mlx.core.cosh
      • +
    • mlx.core.dequantize
    • mlx.core.divide
    • mlx.core.equal
    • mlx.core.erf
      • @@ -240,14 +243,16 @@
    • mlx.core.exp
    • mlx.core.expand_dims
    • mlx.core.eye
      • -
    • mlx.core.floor
    • mlx.core.flatten
      • +
    • mlx.core.floor
      • +
    • mlx.core.floor_divide
    • mlx.core.full
    • mlx.core.greater
    • mlx.core.greater_equal
    • mlx.core.identity
    • mlx.core.less
    • mlx.core.less_equal
      • +
    • mlx.core.linspace
    • mlx.core.load
    • mlx.core.log
    • mlx.core.log2
      • @@ -270,8 +275,11 @@
    • mlx.core.partition
    • mlx.core.pad
    • mlx.core.prod
      • +
    • mlx.core.quantize
      • +
    • mlx.core.quantized_matmul
    • mlx.core.reciprocal
    • mlx.core.reshape
      • +
    • mlx.core.round
    • mlx.core.rsqrt
    • mlx.core.save
    • mlx.core.savez
      • @@ -364,6 +372,7 @@
    • mlx.nn.RoPE
    • mlx.nn.MultiHeadAttention
    • mlx.nn.Sequential
      • +
    • mlx.nn.QuantizedLinear
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -378,12 +387,14 @@
  • Loss Functions
    • @@ -398,6 +409,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
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215, 216, 219, 227, 228, 231, 232, 233], "def": [1, 2, 3, 4, 143, 165, 172, 190, 232], "simple_axpbi": 1, "float": [1, 13, 15, 56, 92, 123, 128, 131, 132, 174, 175, 176, 177, 178, 181, 182, 187, 195, 196, 201, 203, 207, 222], "return": [1, 2, 3, 4, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 37, 49, 56, 59, 60, 61, 62, 63, 64, 65, 66, 67, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 183, 184, 185, 190, 211, 212, 213, 214, 215, 216, 230, 232], "thi": [1, 3, 4, 6, 12, 13, 14, 15, 22, 23, 24, 25, 74, 97, 105, 107, 108, 109, 111, 112, 121, 122, 124, 143, 146, 147, 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92, 100, 108, 119, 123, 124, 125, 126, 128, 131, 137, 151, 153, 154, 157, 158, 169, 171, 183, 184, 185, 190, 199, 230, 231, 232], "frontend": 1, "api": 1, "redirect": 1, "when": [1, 3, 5, 6, 172, 191, 192, 213, 228, 232], "appropri": 1, "fallback": 1, "metal": 1, "vjp": [1, 231], "jvp": [1, 231], "In": [1, 3, 4, 108, 172, 174, 175, 176, 178, 184, 190, 195, 230, 232], "one": [1, 3, 6, 56, 64, 76, 77, 103, 108, 124, 151, 154, 232], "sentenc": 1, "comput": [1, 2, 3, 4, 5, 6, 93, 97, 105, 111, 143, 146, 153, 165, 166, 167, 173, 174, 176, 177, 178, 190, 195, 196, 201, 203, 209, 210, 211, 212, 213, 214, 215, 216, 227, 231, 232], "graph": [1, 3, 4, 5, 74, 136, 143], "rule": 1, "evalu": [1, 3, 4, 74, 97, 136, 167, 172, 190, 227, 231], "said": [1, 3], "start": [1, 2, 3, 5, 6, 15, 148, 232], "discuss": 1, "more": [1, 4, 8, 56, 108, 190, 228, 232], "detail": [1, 8, 174, 175, 176, 178, 190], "thei": [1, 2, 3, 65, 172, 205, 230, 231, 232], "c": [1, 3, 187, 191, 192, 231, 232], "scalar": [1, 11, 13, 26, 37, 56, 59, 60, 70, 71, 92, 93, 94, 95, 98, 99, 105, 106, 108, 110, 113, 115, 120, 128, 131, 132, 154, 165, 169, 173, 231], "sum": [1, 2, 11, 107, 146, 190, 211, 212, 213, 214, 215, 216], "elementwis": 1, "numpi": [1, 3, 4, 5, 11, 13, 15, 60, 70, 71, 94, 95, 98, 99, 105, 108, 110, 113, 115, 154, 231], "style": [1, 11, 13, 70, 71, 94, 95, 98, 99, 105, 108, 110, 113, 115, 154], "broadcast": [1, 11, 13, 60, 70, 71, 92, 94, 95, 98, 99, 105, 108, 110, 113, 115, 123, 124, 131, 132, 154, 158, 169, 199], "between": [1, 5, 211, 212, 213, 214, 215, 216, 232], "input": [1, 2, 3, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 59, 60, 61, 62, 63, 64, 65, 66, 67, 70, 71, 72, 73, 75, 76, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95, 97, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 119, 120, 121, 122, 130, 133, 134, 135, 141, 142, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163, 164, 165, 166, 168, 169, 171, 191, 192, 193, 195, 196, 197, 199, 201, 203, 207, 211, 213, 216, 222, 231], "upcast": 1, "const": 1, "factor": 1, "streamordevic": 1, "stream": [1, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 33, 34, 36, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 50, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127, 128, 130, 131, 132, 133, 134, 135, 140, 141, 142, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 166, 169, 170, 171, 232], "schedul": [1, 232], "itself": 1, "call": [1, 3, 4, 27, 172, 190, 193, 205, 227], "other": [1, 3, 172, 190, 199, 231], "within": [1, 24], "simplest": [1, 190], "wai": [1, 3, 6, 190], 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169, 170, 171, 191, 192, 197, 199, 207, 211, 212, 213, 214, 215, 216, 222, 231, 232], "given": [1, 12, 14, 24, 60, 62, 74, 76, 78, 79, 80, 81, 82, 83, 87, 88, 89, 92, 107, 109, 111, 112, 122, 128, 146, 148, 155, 162, 163, 164, 166, 199], "set": [1, 3, 4, 6, 172, 180, 194, 197, 203, 207, 222, 228], "further": [1, 6], "class": [1, 3, 4, 7, 8, 9, 26, 172, 174, 175, 176, 177, 178, 179, 180, 181, 182, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222], "under": 1, "These": [1, 158, 232], "word": 1, "bit": [1, 187], "abstract": 1, "back": [1, 3], "give": [1, 3, 4, 24], "ourselv": 1, "concret": [1, 197, 232], "imag": [1, 192], "public": [1, 190], "explicit": [1, 228], "alpha_": 1, "beta_": 1, "must": [1, 6, 74, 92, 123, 124, 128, 131, 132, 169], "know": [1, 3], "popul": 1, "To": [1, 2, 3, 4, 6, 190, 231], "avoid": 1, "unnecessari": [1, 3], "alloc": [1, 172], "respons": 1, "space": [1, 216], "void": 1, "eval_cpu": 1, "std": 1, "overrid": 1, "eval_gpu": 1, "jacobian": [1, 97, 167, 231], "product": [1, 97, 108, 122, 167, 199, 231], "primal": [1, 97, 167], "tangent": [1, 20, 21, 97, 159, 160], "int": [1, 3, 4, 7, 9, 12, 14, 15, 22, 23, 24, 25, 29, 30, 31, 32, 40, 41, 42, 43, 45, 49, 52, 55, 56, 58, 60, 62, 63, 64, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 96, 107, 109, 111, 112, 114, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 146, 147, 148, 151, 152, 155, 156, 157, 158, 161, 162, 163, 164, 165, 166, 168, 170, 172, 190, 191, 192, 193, 195, 196, 197, 199, 201, 203, 212, 213, 216], "argnum": [1, 93, 165], "cotan": 1, "across": [1, 195], "pair": [1, 120, 203], "repres": [1, 3], "axi": [1, 3, 4, 12, 14, 22, 23, 24, 25, 29, 30, 31, 32, 40, 41, 42, 43, 45, 52, 55, 58, 62, 76, 78, 81, 84, 85, 86, 87, 88, 89, 107, 109, 111, 112, 114, 120, 121, 122, 124, 146, 147, 148, 151, 152, 155, 156, 157, 158, 161, 166, 168, 212, 213, 216], "correspond": [1, 12, 14, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 107, 109, 112, 122, 155, 168, 184], "dimens": [1, 3, 12, 14, 22, 23, 44, 49, 56, 64, 76, 85, 86, 88, 89, 90, 107, 108, 109, 111, 112, 122, 124, 130, 155, 158, 161, 166, 191, 192, 195, 196, 199, 201, 203], "vmap": [1, 231], "print": [1, 2, 3, 4, 6, 183, 184, 185, 190, 228, 231], "ostream": 1, "os": [1, 6], "equival": [1, 27, 47, 57, 194], "check": [1, 6, 59], "bool": [1, 12, 14, 22, 23, 29, 30, 31, 32, 40, 41, 42, 43, 45, 55, 56, 58, 59, 74, 107, 109, 111, 112, 122, 123, 128, 131, 132, 136, 155, 166, 182, 191, 192, 195, 196, 197, 199, 203], "is_equival": 1, "privat": 1, "fall": 1, "eval": [1, 2, 3, 4, 143, 172, 190, 227, 231], "deriv": 1, "base": [1, 74, 102, 104, 172, 178, 179, 203, 227, 228], "abov": [1, 3, 6, 163, 177, 190, 232], "demonstr": 1, "treat": [1, 59, 85, 86, 88, 89, 157], "paramet": [1, 2, 3, 4, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 59, 60, 61, 62, 63, 64, 65, 66, 67, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183, 184, 185, 191, 192, 193, 194, 195, 196, 197, 199, 201, 203, 205, 207, 211, 212, 213, 214, 215, 216, 222, 223, 227], "produc": [1, 199], "through": [1, 153], "construct": [1, 4, 92, 118, 170], "its": [1, 6, 108, 121, 130, 143, 162, 173, 176, 177, 178, 185, 190, 232], "type": [1, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 49, 56, 59, 60, 61, 62, 63, 64, 65, 66, 67, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 141, 142, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 179, 183, 190, 211, 212, 213, 214, 215, 216], "shape": [1, 3, 4, 47, 59, 60, 63, 64, 78, 81, 84, 87, 88, 89, 92, 97, 108, 118, 119, 123, 124, 125, 127, 128, 131, 132, 134, 158, 167, 169, 170, 171, 190, 191, 192, 197, 227, 231, 232], "pass": [1, 3, 4, 47, 57, 120, 165, 173, 183, 190, 205], "re": [1, 4], "now": [1, 3], "promot": 1, "dtype": [1, 3, 15, 26, 33, 56, 77, 92, 96, 118, 125, 127, 128, 131, 132, 162, 170, 187, 231], "promoted_dtyp": 1, "promote_typ": 1, "float32": [1, 15, 77, 96, 118, 125, 127, 131, 132, 162, 170, 187, 231], "non": [1, 6, 172, 198, 217], "point": [1, 2, 3, 6, 187], "out_dtyp": 1, "is_floating_point": 1, 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MLX 0.0.6 documentation - Home + @@ -186,6 +186,7 @@
    • mlx.core.array.prod
    • mlx.core.array.reciprocal
    • mlx.core.array.reshape
      • +
    • mlx.core.array.round
    • mlx.core.array.rsqrt
    • mlx.core.array.sin
    • mlx.core.array.split
      • @@ -227,12 +228,14 @@
    • mlx.core.array_equal
    • mlx.core.broadcast_to
    • mlx.core.ceil
      • +
    • mlx.core.clip
    • mlx.core.concatenate
    • mlx.core.convolve
    • mlx.core.conv1d
    • mlx.core.conv2d
    • mlx.core.cos
    • mlx.core.cosh
      • +
    • mlx.core.dequantize
    • mlx.core.divide
    • mlx.core.equal
    • mlx.core.erf
      • @@ -240,14 +243,16 @@
    • mlx.core.exp
    • mlx.core.expand_dims
    • mlx.core.eye
      • -
    • mlx.core.floor
    • mlx.core.flatten
      • +
    • mlx.core.floor
      • +
    • mlx.core.floor_divide
    • mlx.core.full
    • mlx.core.greater
    • mlx.core.greater_equal
    • mlx.core.identity
    • mlx.core.less
    • mlx.core.less_equal
      • +
    • mlx.core.linspace
    • mlx.core.load
    • mlx.core.log
    • mlx.core.log2
      • @@ -270,8 +275,11 @@
    • mlx.core.partition
    • mlx.core.pad
    • mlx.core.prod
      • +
    • mlx.core.quantize
      • +
    • mlx.core.quantized_matmul
    • mlx.core.reciprocal
    • mlx.core.reshape
      • +
    • mlx.core.round
    • mlx.core.rsqrt
    • mlx.core.save
    • mlx.core.savez
      • @@ -364,6 +372,7 @@
    • mlx.nn.RoPE
    • mlx.nn.MultiHeadAttention
    • mlx.nn.Sequential
      • +
    • mlx.nn.QuantizedLinear
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils
  • Functions
      @@ -379,12 +388,14 @@
  • Loss Functions
    • @@ -399,6 +410,7 @@
  • mlx.optimizers.Adam
  • mlx.optimizers.AdamW
  • mlx.optimizers.Adamax
    • +
  • mlx.optimizers.Lion
  • Tree Utils