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DeepSparse v0.11.0

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@jeanniefinks jeanniefinks released this 11 Mar 18:31
· 2 commits to release/0.11 since this release
v0.11.0
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New Features:

  • High-performance sparse quantized convolutional neural networks supported on AVX2 systems.
  • CCX detection added to the DeepSparse Engine for AMD systems.
  • deepsparse.server integration and CLIs added with Hugging Face transformers pipelines support.

Changes:

Performance improvements made for

  • FP32 sparse BERT models
  • batch size 1 networks
  • quantized sparse BERT models
  • Pooling operations

Resolved Issues:

  • When hyperthreads are disabled in the BIOS, core/socket information on certain systems can now be detected.
  • Hugging Face transformers validation flows for QQP now giving correct accuracy metrics.
  • PyTorch downloaded for YOLO model stubs now supported.

Known Issues:

  • When running NanoDet-Plus-m, the DeepSparse Engine will fail with an assertion (See #279). A hotfix is being pursued.
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