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DeepSparse v1.2.0
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@jeanniefinks jeanniefinks released this 28 Oct 13:40
· 6 commits to release/1.2 since this release
v1.2.0
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New Features:

  • DeepSparse Engine Trial and Enterprise Editions now available, including license key activations.
  • DeepSparse Pipelines document classification use case in NLP supported.

Changes:

  • Mock engine tests added to enable faster and more precise unit tests in pipelines and Python code.
  • DeepSparse Engine benchmarking updated to use time.perf_counter for more accurate benchmarks.
  • Dynamic batch implemented to be more generic so it can support any pipeline.
  • Minimum Python version changed to 3.7 as 3.6 reached EOL.

Performance:

  • Performance improvements for unstructured sparse quantized convolutional neural networks implemented for throughput use cases.

Resolved Issues:

  • In the C++ interface, the engine no longer crashes with a segmentation fault when the num_streams provided to the engine_context_t is greater than the number of physical CPU cores.
  • The engine no longer crashes with assertion failures when running YOLOv4.
  • YOLACT pipelines fixed where dynamic batch was not working and exported images had color channels improperly swapped.
  • DeepSparse Server no longer crashes for hyphenated task names such as "question-answering."
  • Computer vision pipelines now additionally accept single NumPy array inputs.
  • Protobuf version for ONNX 1.12 compatibility pinned to prevent installation failures on some systems.

Known Issues:

  • None
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