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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -144,7 +144,7 @@ The user code composes these core modules into custom architectures given the us
| `deepwit.cnn` | `LinearConv2DLayer`, `AffineConv2DLayer`, both transpose variants, `MaxPool2DLayer` |
| `deepwit.attention` | scaled-dot-product scores, full / causal / custom masking, multi-head (fused and unfused), self-attention, a readable reference implementation |
| `deepwit.transformer` | `TransformerBlock`, `CrossTransformerBlock` — the residual skeleton, with the mixers left open |
| `deepwit.embedder` | `VocabularyEmbedder` (with tied unembedding), `LearnedAbsolutePositionalInjector`, `ImageToPatchEmbedder`, `PositionalEncoding.sinusoidal2D` |
| `deepwit.embedder` | `VocabularyEmbedder` (with tied unembedding), `LearnedAbsolutePositionalInjector`, `PositionalEncoding.sinusoidal2D` |
| `deepwit.normalization` | `LayerNorm`, `RMSNorm` |
| `deepwit.activation` | `sigmoid`, `relu`, `gelu`, `softmax` |
| `deepwit.loss` | `CategoricalCrossEntropy`, `BernoulliCrossEntropy`, `BinaryCrossEntropy`, `SquaredError`, `AbsoluteError`, `Huber` |
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52 changes: 0 additions & 52 deletions core/src/main/scala/deepwit/embedder/ImageToPatchEmbedder.scala

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2 changes: 1 addition & 1 deletion mdocs/README.md
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Expand Up @@ -173,7 +173,7 @@ The user code composes these core modules into custom architectures given the us
| `deepwit.cnn` | `LinearConv2DLayer`, `AffineConv2DLayer`, both transpose variants, `MaxPool2DLayer` |
| `deepwit.attention` | scaled-dot-product scores, full / causal / custom masking, multi-head (fused and unfused), self-attention, a readable reference implementation |
| `deepwit.transformer` | `TransformerBlock`, `CrossTransformerBlock` — the residual skeleton, with the mixers left open |
| `deepwit.embedder` | `VocabularyEmbedder` (with tied unembedding), `LearnedAbsolutePositionalInjector`, `ImageToPatchEmbedder`, `PositionalEncoding.sinusoidal2D` |
| `deepwit.embedder` | `VocabularyEmbedder` (with tied unembedding), `LearnedAbsolutePositionalInjector`, `PositionalEncoding.sinusoidal2D` |
| `deepwit.normalization` | `LayerNorm`, `RMSNorm` |
| `deepwit.activation` | `sigmoid`, `relu`, `gelu`, `softmax` |
| `deepwit.loss` | `CategoricalCrossEntropy`, `BernoulliCrossEntropy`, `BinaryCrossEntropy`, `SquaredError`, `AbsoluteError`, `Huber` |
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