@@ -101,21 +101,21 @@ namespace dlib
101101 static constexpr long EMBEDDING_DIM = embedding_dim;
102102 static constexpr long PATCH_SIZE = 4 ; // 32/4 = 8x8 = 64 patches
103103 static constexpr long NUM_PATCHES = 64 ; // (32/4)^2
104- static constexpr long DONT_USE_ClASS_TOKEN = 0 ;
104+ static constexpr long DONT_USE_CLASS_TOKEN = 0 ;
105105 static constexpr long DONT_USE_POSITION_EMBEDDINGS = 0 ;
106106
107107 // Backbone: patch embeddings => transformer => pooling
108108 // Returns: (batch, embedding_dim) feature vectors
109109 template <template <typename > class DO , typename INPUT >
110110 using backbone_training =
111111 canonical_transformer::transformer_stack<NUM_LAYERS , gelu, DO , EMBEDDING_DIM , NUM_HEADS ,
112- patch_embeddings<PATCH_SIZE , EMBEDDING_DIM , DONT_USE_ClASS_TOKEN , DONT_USE_POSITION_EMBEDDINGS ,
112+ patch_embeddings<PATCH_SIZE , EMBEDDING_DIM , DONT_USE_CLASS_TOKEN , DONT_USE_POSITION_EMBEDDINGS ,
113113 INPUT >>;
114114
115115 template <typename INPUT >
116116 using backbone_inference =
117117 canonical_transformer::transformer_stack<NUM_LAYERS , gelu, multiply, EMBEDDING_DIM , NUM_HEADS ,
118- patch_embeddings<PATCH_SIZE , EMBEDDING_DIM , DONT_USE_ClASS_TOKEN , DONT_USE_POSITION_EMBEDDINGS ,
118+ patch_embeddings<PATCH_SIZE , EMBEDDING_DIM , DONT_USE_CLASS_TOKEN , DONT_USE_POSITION_EMBEDDINGS ,
119119 INPUT >>;
120120
121121 static std::string describe () {
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