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  • burn-core-0.10.0
    • burn-core 0.10.0
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    • nathanielsimard
    • Dependencies
      • bincode ^2.0.0-rc.3 normal
      • burn-autodiff ^0.10.0 normal
      • burn-candle ^0.10.0 normal
      • burn-common ^0.10.0 normal
      • burn-dataset ^0.10.0 normal
      • burn-derive ^0.10.0 normal
      • burn-ndarray ^0.10.0 normal
      • burn-tch ^0.10.0 normal
      • burn-tensor ^0.10.0 normal
      • burn-wgpu ^0.10.0 normal
      • derive-new ^0.5.9 normal
      • flate2 ^1.0.27 normal
      • half ^2.3.1 normal
      • hashbrown ^0.14.1 normal
      • libm ^0.2.8 normal
      • log ^0.4.20 normal
      • rand ^0.8.5 normal
      • rmp-serde ^1.1.2 normal
      • serde ^1.0.188 normal
      • serde_json ^1.0.107 normal
      • spin ^0.9.8 normal
      • burn-autodiff ^0.10.0 dev
      • burn-dataset ^0.10.0 dev
      • burn-ndarray ^0.10.0 dev
      • tempfile ^3.8.0 dev
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burn_core0.10.0

Module module

  • Functions

In burn_core::tensor

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Module burn_core::tensor::module

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The burn module.

Functions

  • adaptive_avg_pool1d
    Applies a 1D adaptive avg pooling.
  • adaptive_avg_pool2d
    Applies a 2D adaptive avg pooling.
  • avg_pool1d
    Applies a 1D avg pooling.
  • avg_pool2d
    Applies a 2D avg pooling.
  • conv1d
    Applies a 1D convolution.
  • conv2d
    Applies a 2D convolution.
  • conv_transpose1d
    Applies a 1D transposed convolution.
  • conv_transpose2d
    Applies a 2D transposed convolution.
  • embedding
    Applies the embedding module.
  • max_pool1d
    Applies a 1D max pooling.
  • max_pool1d_with_indices
    Applies a 1D max pooling.
  • max_pool2d
    Applies a 2D max pooling.
  • max_pool2d_with_indices
    Applies a 2D max pooling with indices.
  • unfold4d
    Applies a 4D to 3D unfold.