Release TPU-MLIR v1.6 release · sophgo/tpu-mlir

Change Log

Fixed documentation errors and added checks for documentation errors during build.
Set workaround for ar.copy cycle issue to 0, avoiding potential data overwriting in inplacing operations.
Addressed a bug in Caffe DetectionOutput and fixed a hang in cv186x.
Corrected Mul buffer size alignment issues and various other buffer size corrections.
Fixed issues with attention accuracy, RotaryPosEmbPattern, and op status validation before the matching process.
Addressed a series of backend bugs, including daily build errors, performance declines, and incorrect return values.
Fixed data_checker issues, api_conv bug, and a local slice calculation bug.
Resolved incorrect affineMap for Pooling buffer and fixed reshape bug for inner products.
Corrected Mul&Div dynamic support for local operations and fixed issues with Conv2d buffer size calculations.
Addressed various matmul bugs, including fp8 support issues and quantization inconsistencies.

Enabled multicore optimizations and added support for multi-core model tests.
Updated libbackend_1688.so and various backend updates for better performance and compatibility.
Introduced groupParallel operation, support for dynamic input data generation.
Added support for new patterns such as Permute fuse pattern and splitQuantizedMLP pattern.
Implemented npz compare visualizer tool and added support for bm1688 backend.
Added MatMul weight split case and improved permute performance.
Added support for img2col pattern, attention interface, and several dialects for SG2260 operations.

Updated release notes and resolved issues with document formatting.
Standardized expression terminology and replaced sensitive words in documentation.

Improved local softmax performance and optimized dataFlow checking in coreMatch.
Enhanced performance for Vit L i8 4 batch operations and refined conv multi-core handling.
Optimized VIT-B concurrency and addressed performance issues with MaxPool buffer sizes.