github neuralmagic/deepsparse v0.3.0
DeepSparse v0.3.0

latest releases: v1.8.0, v1.7.1, v1.7.0...
3 years ago

New Features:

  • Multi-stream scheduler added as a configurable option to the engine.

Changes:

  • Errors related to setting the NUMA memory policy are now issued as warnings.
  • Improved compilation times for sparse networks.
  • Performance improvements made for: networks with large outputs and multi-socket machines; ResNet-50 v1 quantized and kernel sparsity gemms.
  • Copy operations and placement of quantization operations within network optimized.
  • Version changed to be loaded from version.py file, default build on branches is now nightly.
  • cpu.py file and related APIs added to DeepSparse repo instead of copying over from backend.
  • Add unsupported system install errors for end users when running on non-Linux systems.
  • YOLOv3 batch 64 quantized now has a speedup of 16% in the DeepSparse Engine.

Resolved Issues:

  • An assertion is no longer triggered when more sockets or threads than available are requested.
  • Resolved assertion when performing Concat operations on constant buffers.
  • Engine no longer crashes when the output of a QLinearMatMul operation has a dimension not divisible by 4.
  • The engine now starts without crashing on Windows Subsystem for Linux and Docker for Windows or Docker for Mac.

Known Issues:

  • None

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