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v0.3.0
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New Features & Improvements
Added support for int8 and int16 data types for the following operations: PACK, UNPACK, DIV, BROADCAST_TO, SQRT, and MAXIMUM.
Added support for SQUARED_DIFFERENCE (int8) and GATHER_ND, RESIZE_BILINEAR (a8w8, a16w8) operations.
Introduced a new CalibrationQsvAlignmentUtils class for aligning quantization parameters.
Improved the quantizer.save() process.
Added recipe-building utilities.
Added support for SELECT operations for int8 and int16.
Bug Fixes
Fixed an issue where a single consumer using the same tensor multiple times was only recorded once.
Fixed a bug in create_random_bool for requests with more than two elements.
Adjusted the clipping value for blockwise quantization.
Internal Changes
Refactored the is_conditionally_unquantized function.
Handled np.ndarray and bytes as constant buffers.
Deprecated emulated subchannel transformation.
Disabled narrow range for low bits quantization.
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