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@PostMalone1998 PostMalone1998 released this 19 Jun 03:40
· 3813 commits to master since this release
v1.2-beta.0
b46c21b

Features:
Supported 'Conv3D', 'Pool3D', 'Pow2(n^x)', 'Softplus', 'GRU', 'Scale' for BM1684, more models available like wenet-encoder.
Supported some operations like 'DictConstruct', 'Sub', 'Ones_like', 'Zeros_like', 'ChannelShuffle', 'Activation', 'Conv3d', 'Compare', 'GroupNorm', 'InstanceNorm', 'Clamp' in PyTorchConverter.
New ONNX operations in OnnxConverter, like 'GridSample', 'CompareCst'.
Supported more dynamic more operations like 'Arg', 'Active', 'Reduce', 'Min', 'Max' for BM1684.
Add depth2space to backward pass, 1684x yolov5 postprocess, CopyMultiUseWeight pattern before shape_infer.
Improved the previous subnets's type check logic, add some parallel in learning quant.

Bug Fixes:
Running functions have improved and fixed: weight display problem in visual tool, model_deploy -- test_reference is none.
BM1684: fix8b large dilation weight reorder, MulConst, AddConst, SubConst local buffer size, mulshift local buffer.
BM1684X: 5dim broadcast add, attention and utest bug, scatternd support 5dim, YoloDetection inference bug, strideslice op need begin_mask/end_mask for dynamic shape.
CV18XX: fix gray fuse preprocess, fix TgScaleLutKernel pass.
OnnxConverter: convert_add_op fix broadcast channel when r_dim is 1, infer subgraph to get shape and fix attr:'axes' not in squeeze.
Others: fix sdk demo problem, hanging prob caused by assert in cmodel, group overlap tensor id error, fix python array with random data.

Code Refactoring:
Redesigned subnet splitting, sorting, merging and running order.
Refine 18xx codegen, conv quantization, gather lowering and debugger's dictionary-structure.
Rename bdc to tiu.
Reset pattern of onnx subconst op.
Simplify layernorm to single output.

Documentation Updates:
Fix quick_start typo.
Update yolov3_tiny output_names.
Refine yolov5 postprocess chapter, cv18xx quick start doc.

Testing and Verification:
Update yolov3 regression test, bayer2RGB model sample, squeezenet_v1.1_cf.
Save a copy of bert_base 2.11 version config for cali.
Add timeout checkout and model test timeout for test.
Add many cv18xx model regression.
Align cv18xx detect samples and YOLODetection Func.

Assets 3
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