Update from task bf424451-b0dd-4673-9379-10b865be8617#2
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Key features implemented: - Updated TransformerConfig to support per-layer configurations for attention, FFN, normalization, and positional encoding types - Added resolve_layer_config utility function to handle per-layer module instantiation - Enhanced TransformerBlock to initialize different module types per layer based on configuration lists - Implemented Vision Transformer (ViT) compatibility with patch embedding, CLS token, and positional embedding support - Updated API documentation to include new positional embedding types (ALiBi, PartialRoPE) - Modified Transformer main class to accept patch_size and img_size parameters for image processing - Updated .gitignore for cleaner file exclusion patterns - Incremented package version to 0.5.0 with new imports in __init__.py The changes enable flexible per-layer architectural variations and extend the transformer to support multimodal inputs including images.
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This PR was created by qwen-chat coder for task bf424451-b0dd-4673-9379-10b865be8617.