Contents

deepsparse 1.7.1

0

An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your appli

An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

Stars: 2879, Watchers: 2879, Forks: 167, Open Issues: 21

The neuralmagic/deepsparse repo was created 3 years ago and the last code push was 9 hours ago.
The project is very popular with an impressive 2879 github stars!

How to Install deepsparse

You can install deepsparse using pip

pip install deepsparse

or add it to a project with poetry

poetry add deepsparse

Package Details

Author
Neuralmagic, Inc.
License
Neural Magic DeepSparse Community License
Homepage
https://github.com/neuralmagic/deepsparse
PyPi:
https://pypi.org/project/deepsparse/
GitHub Repo:
https://github.com/neuralmagic/deepsparse

Classifiers

  • Scientific/Engineering
  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Mathematics
  • Software Development
  • Software Development/Libraries/Python Modules
No  deepsparse  pypi packages just yet.

Errors

A list of common deepsparse errors.

Code Examples

Here are some deepsparse code examples and snippets.

GitHub Issues

The deepsparse package has 21 open issues on GitHub

  • Bug Fix: Make Numpy Array Outputs JSON Serializable for Server
  • [Text Generation] [Fix] Raise error when we use deepsparse engine and prompt_processing_length == sequence_lenght
  • [Text Generation] Optimize the slow update method in the KVCacheDecoder
  • [BugFix] Delay torch import until needed for deepsparse.transformers.eval_downstream
  • Update text_generation.py
  • DS eval for OPT on WikiText
  • [CLIP] Validation Script
  • Changes to support pass@k evaluation on the HumanEval dataset
  • [Text Generation] Turn off the (currently) inefficient external KV cache logic when internal KV cache management enabled
  • Implement OpenAI-compatible server
  • Generalize disabling batch size across engine interfaces
  • [Text Generation] KVCacheStorage Implementation
  • [Text Generation][Doc] Point to KV Cache Injection
  • Can't use DeepSparse with VITS ONNX file from Coqui TTS.
  • Encountered an issue when trying to optimize Donut model.

See more issues on GitHub

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