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DeepSparse v1.3.1 Patch Release
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@jeanniefinks jeanniefinks released this 04 Jan 21:37
· 1 commit to release/1.3 since this release
v1.3.1
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This is a patch release for 1.3.0 that contains the following changes:

  • Performance on some unstructured sparse quantized YOLOv5 models has been improved. This fixes a performance regression compared to DeepSparse 1.1.
  • DeepSparse no longer throws an exception when it cannot determine L3 cache information and instead logs a warning message.
  • An assertion failure on some compound sparse quantized transformer models has been fixed.
  • Models with ONNX opset 13 Squeeze operators no longer exhibit poor performance, and DeepSparse now sees speedup from sparsity when running them.
  • NumPy version pinned to <=1.21.6 to avoid deprecation warning/index errors in pipelines.
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