Added #

• IndexOutOfBoundsException - Thrown when an index or axis is out of valid range
• DTypeMismatchException - Thrown when tensor data types do not match

Changed #

• BREAKING: Unified exception handling across the library
  • All exceptions now extend TensorException sealed class
  • ArgumentError → ShapeMismatchException, InvalidParameterException
  • RangeError → IndexOutOfBoundsException
  • StateError → NonContiguousException, DTypeMismatchException
• Shape validation now happens before buffer creation in zeros() and ones()

Migration Guide #

If you were catching standard Dart exceptions, update your code:

Added #

• Reduction operations for TensorBuffer:
  • sum() - Returns the sum of all elements
  • mean() - Returns the arithmetic mean of all elements
  • min() - Returns the minimum value
  • max() - Returns the maximum value
• Axis-wise reduction operations:
  • sumAxis(int axis, {bool keepDims}) - Sum along a specific axis
  • meanAxis(int axis, {bool keepDims}) - Mean along a specific axis
  • minAxis(int axis, {bool keepDims}) - Min along a specific axis
  • maxAxis(int axis, {bool keepDims}) - Max along a specific axis
• Support for negative axis indexing in axis-wise operations
• Comprehensive test coverage for all reduction operations (49 tests)

Added #

• TensorBuffer.toList() method for extracting tensor data as List<double>

Fixed #

• Unused import in test file (dart:math)
• Unused variable in test file
• prefer_final_locals lint warnings in test files
• dangling_library_doc_comments lint warnings in test files

Added #

• .gitignore file for Git
• .pubignore file for pub.dev publishing

Added #

• Comprehensive dartdoc comments for all public API elements
• Library-level documentation with usage examples

Added #

• Core tensor operations

  • TensorBuffer with shape, strides, and view/storage separation
  • TensorStorage for immutable typed data wrapper
  • DType enum with ONNX-compatible data types

• Transform operations

  • ResizeOp with nearest, bilinear, bicubic interpolation
  • ResizeShortestOp for aspect-ratio preserving resize
  • CenterCropOp for center cropping
  • NormalizeOp with ImageNet, CIFAR-10, symmetric presets
  • ScaleOp for value scaling
  • PermuteOp for axis reordering
  • ToTensorOp for HWC uint8 to CHW float32 conversion
  • ToImageOp for CHW float32 to HWC uint8 conversion
  • UnsqueezeOp, SqueezeOp, ReshapeOp, FlattenOp for shape manipulation
  • TypeCastOp for dtype conversion

• Pipeline system

  • TensorPipeline for chaining operations
  • PipelinePresets with ImageNet, ResNet, YOLO, CLIP, ViT, MobileNet presets
  • Async execution via Isolate.run

• Zero-copy operations

  • transpose() via stride manipulation
  • squeeze(), unsqueeze() as shape-only changes