Commit 20b2172
Implementation of ARC-AGI dataset loader (#3115)
* Implementation of linear_ layer for neural networks. This layer provides an optimized linear transformation for multi-dimensional inputs.
* Minor change
* Update dlib/dnn/layers.h
Co-authored-by: Copilot <[email protected]>
* Add reshape_to and flatten layers to Dlib's DNN module
* Missing update to "visitors.h"
* format fixing for reshape_to
* Update dlib/test/dnn.cpp
* Vocabulary size fixed for learning, and function added for transformation-free tokenization
* Added a new example for learning a “complex” Transformer model.
* Added a new example for learning a “complex” Transformer model.
* Updated example for training a Transformer model.
* fix for gcc/ffmpeg compilation
* Fix a warning message for Ubuntu compilation.
* Update for Linux environment.
* Fix batch building
* Slight improvement in model definition.
* linear_ layer implementation improvement
* finalizing the example
* Fixing break condition in training method.
* Fixing declaration order of variables.
* bpe_tokenizer improvements.
* Example updated.
* bpe_tokenizer class refactoring.
* Example updated.
* bpe_tokenizer class updated.
* Decoding part of the bpe_tokenizer updated.
* Network definition update
* Add Adaptive Computation Time (ACT) layer with CPU/CUDA support
* Fixes
* Update comments for params
* Fixes and improvements
* Disabling enable_depth_scaling, which obviously affects the result of test_layer
* Implementation of ARC-AGI dataset loader
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Co-authored-by: Davis E. King <[email protected]>
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Aldric PIERRAIN <[email protected]>1 parent 2ac06f9 commit 20b2172
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