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com.unity.ai.inference 2.5.0

com.unity.ai.inference

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Notes: processedReleased January 29, 2026

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Unity Compatibility

Minimum Unity: 6000.0

Package Dependencies

✨ Features

  • `PyTorch` model import
  • `LRN (Local Response Normalization)` operator implemented on all backends
  • `3D MaxPool` and `AveragePool` operators implemented on all backends
  • Sentis Importer: Allow users to specify dynamic dimensions as static on Sentis model import, same as we do for ONNX
  • Tokenizer Additions
  • - `Hugging Face` parser
  • - Sequence decoder
  • - Regex replace decoder
  • - String split pre-tokenizer
  • - Unigram Mapper
  • - Byte-based substring feature to SubString
  • - Padding: support "pad multiple of" option
  • - Split pre-tokenizers: support "invert"
  • - StripAccents normalizer
  • - Rune split pre-tokenizer
  • - Strip normalizer
  • - WordLevel model
  • - WhitespaceSplit pre-tokenizer
  • - Metaspace pre-tokenizer and decoder
  • - Whitespace pre-tokenizer
  • - NMT normalizer
  • - Punctuation pre-tokenizer
  • - Digits pre-tokenizer
  • - CharDelimiterSplit pre-tokenizer
  • - BPE decoder

📈 Improvements

  • Model Visualizer: Async loading of model
  • Model Visualizer: updating com.unity.dt.app-ui to 1.3.3
  • Resize operator on CPU no longer uses main (mono) thread path
  • All model converters use switch-case instead of if-else cascade
  • Migrate Mono APIs to CoreCLR-compatible APIs

🔧 Bug Fixes

  • Editor crash when quitting in play mode
  • Memory Leak in FuseConstantPass
  • `Clip` operator improvement: no longer need CPU fallback for min/max parameters
  • `Mod` operator fix: on some platform with float operands, could return incorrect value when one of them was 0
  • Faulty optimization pass
  • Fix in existing burst code for 2D pooling vectorization calculations
  • `TopK` issue on `GPUCompute` when dimension is specified
  • Fix source generator empty array
  • Tokenizer Fixes
  • - Special added token decoding condition
  • - Fix added token whole word handling
  • - Gpt2Splitter subtring length computation
  • - Added vocabulary pre-tokenization.
  • - ByteLevelDecoder empty-byte guard in string generation
  • - DefaultDecoder: joining tokens with whitespace
  • - BPE: fix merging, applying on each word instead of the whole string
  • - DefaultPostProcessor: apply the proper type id
  • - RobertaPostProcessor: fix attention and type id assignment
  • - TemplatePostProcessor: fix type id assignment
  • - Assign default type id to sequences
  • - Better surrogate characters support
  • - Fix ByteFallback: inserting the right amount of \ufffd char
  • - Fix BertPreTokenizer
  • - Default model determination based of chain of responsibility