Changelog

All notable changes to this package will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

[2.6.1] - 2026-04-02

Fixed

  • Documentation fix

[2.6.0] - 2026-03-20

Added

  • Officially support ONNX opset up to version 25
  • Functional methods for Swish and RMSNorm
  • Support for the alpha argument for the Swish operator
  • Improved analytics and error reporting when importing models with unsupported operators
  • Now supporting Fast Enter Play Mode for CoreCLR compatibility
  • Added support for Buffer in PyTorch import
  • Tokenizer: Generic truncation with support for longestfirst, onlyfirst and onlysecond

Changed

  • Now using Unity's Mathematics.Random instead of System.Random
  • Improved documentation for the Tensor and Functional APIs
  • Maintenance of documentation links
  • Updated documentation for Cubic interpolation mode support limitations

Fixed

  • Updated behavior of ReduceL1, ReduceL2, ReduceSumSquare and ReduceLogSum operators when argument noop_with_empty_axes is true and axes are empty
  • Interpolate issue with argument scaleFactor
  • Fix when GPU allocations (ComputeTensorData) are used for tensors without a corresponding backend.
  • Prevent crashes when closing the editor while in Play mode
  • Fixed memory leak in PyTorch Import
  • Fix GPU crash for convolution with padding on GPU compute
  • Fixed issue with Split operator when importing .sentis file

[2.5.0] - 2026-01-23

Added

  • 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

Changed

  • 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

Fixed

  • 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
  • ModelLoader: Exception handling now properly bubbles failures for importer integration and analytics reporting instead of silently catching exceptions
  • ModelLoader: Added robust stream reading with full buffer validation to prevent data corruption from partial reads and properly handle EOF scenarios
  • 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

[2.4.1] - 2025-10-31

Fixed

  • Small error in documentation preventing user manual publication

[2.4.0] - 2025-10-22

Added

  • LiteRT model import
  • Tokenization API
  • STFT and DFT ONNX operators
  • BlackmanWindow, HammingWindow, HannWindow and MelWeightMatrix ONNX operators
  • BitwiseAnd, BitwiseOr, BitwiseXor, BitwiseNot ONNX operators and functional methods
  • AsStrided, Atan2, Expm1, Log10, Log1p, Log2, Rsqrt, Trunc, ReduceVariance, Diagonal layers, functional methods and optimizer passes
  • NotEqual, FloorDiv, TrueDiv layers and LiteRT operators

Changed

  • Renamed Inference Engine to Sentis in package name and documentation
  • Improved model import time for ONNX models
  • ONNX model import operator order now consistent with the original model
  • Improved optimization passes to reduce operator count in imported models
  • Improved visualizer loading times and consistency in displaying attributes
  • ScatterND operator can now run on much larger tensors, enabling new models
  • ScatterND operator now allows negative indices
  • ONNX model outputs that are not connected to any inputs are no longer incorrectly pruned
  • Improve model import warning and error display in the inspector

Fixed

  • Small errors in documentation
  • Faulty optimization passes that could lead to inference issues
  • Memory leaks on model constants
  • Non-matching ProfilerMarker calls
  • Issues in CPU callback which could lead to incorrect inference on some models
  • Enable missing modes for GridSample and Upsample operators

[2.3.0] - 2025-07-15

Added

  • Model Visualizer for inspecting models as node-based graphs inside the Unity Editor
  • Support for Tensor<int> input for GatherND operator on GPUPixel backend
  • Support for Tensor<int> input for the base of the Pow operator on all backends
  • Support for the group and dilations arguments for the ConvTranspose operator on all backends
  • Support for value_float, value_floats, value_int and value_ints values in ONNX Constant operators

Changed

  • Optimized single-argument operators on CPU backend
  • Optimized deserialization of models to avoid reflection at runtime

Fixed

  • Einsum operator now works correctly on fallback path

[2.2.1] - 2025-05-28

Fixed

  • Issue with incorrect TensorShape in Conv layer when dilations are greater than 1 and auto-padding is used
  • Incorrect Third Party Notices

[2.2.0] - 2025-05-15

Added

  • First version of Inference Engine