NVDLA 1.2.0

Release 1.2.0

NVDLA 1.2.0 release is focused on INT8 precision and nv_large/nv_small configurations support along with performance optimizations

New features and improvements

• INT8 precision support
  • Per-tensor and per-kernel scale factors
  • Symmetric scaling
• nv_small and nv_large configuration support
• FP16 winograd support
• SDP fusion performance feature

Fixes and other changes

• Failures in deconvolution for number of groups greater than one
• Disable scale+bias fusion to BN as it is not required with SDP fusion enabled
• Disable winograd for output layers of network as it causes size mismatch due to special requirements of winograd
• Return error for pooling layers with pad size greater than kernel size

Known limitations

• An INT8 calibration tool is not provided
  • More details about supplying INT8 scale factors to the NVDLA Compiler can be found in Low precision support in NVDLA