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NVDLA Roadmap

DLA 1.3.0

  • HW Multibatch for FC layers
  • Multi-input network support
  • Support different precision and format for input tensors
  • Buffer pre-registration
  • INT8 deconvolution
  • Deconvolution optmization
  • Support deconvolution with stride > 32
  • INT8 group convolution
  • Depthwise convolution optmization
  • ReLU-N
  • Machine Translation Layer (MTL)

Note: APIs are expected to change in DLA1.3.0

Future

  • Memory optimzations
  • ONNX
  • Sample application for accuracy
  • Sample application for object detection
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