Releases
v1.1.1
Feature:
Support ION buffer on APU v4 and support input is float
Auto signing libhexagon_nn_skel.so inside
Remove op module when do not use cpu or gpu
Supports boost and preference hints for APU
Support build apu mace_run with no device connected
Add dsp soc id 450
Support fake warmup for OpenCL to speed up GPU warmup
Add Qnn Backend and update qnn library
Add special models to CI and Micro runtime_load_model example
Support opencl3.0
Support mtk ion mode
Support dma_buf_heap
Remove fallbacks caused by Reshape
Add run validation for MACE-Micro
Add MACE-Micro runtime load model interface
Update MTK APU lib
Operator:
Support sigmoid uint8 mode
Support DepthToSpace, SpaceToDepth, ReduceSum and DetectionOutput operator
Support depthwise_deconv2d host configuration
Add keras converter supported ops
Support InstanceNorm operator and fold InstanceNorm from TensorFlow
Supports depth_to_space CRD mode
Support dsp op: leaky relu, reshape
Support htp op: depthwise_deconv, leaky_relu
Support keras op: substract, multiply
Support op: HardSigmoid
Performance:
Optimize cpu op pooling and softmax performance
Optimize Softmax on GPU and support GPU Reduce on channel dimension
Other
Fix some compatibility and stability bugs
Fix some document error
Add some convert bug
You can’t perform that action at this time.