Open Deep Learning Compiler Stack

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Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends.

License

TVM is licensed under the Apache-2.0 license.

Getting Started

Check out the TVM Documentation site for installation instructions, tutorials, examples, and more. The Getting Started with TVM tutorial is a great place to start.

Contribute to TVM

TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community. Check out the Contributor Guide.

Acknowledgement

We learned a lot from the following projects when building TVM.

  • Halide: Part of TVM's TIR and arithmetic simplification module originates from Halide. We also learned and adapted some part of lowering pipeline from Halide.
  • Loopy: use of integer set analysis and its loop transformation primitives.
  • Theano: the design inspiration of symbolic scan operator for recurrence.

Project links

Key dates

PyPI data
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  • Released:
Newer release available (0.21.0.7)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for guillon from gravatar.com guillon

Credits

Author: Apache TVM

License

Apache Software License (Apache)

Provides Extra

ethosu importer-caffe importer-caffe2 importer-coreml importer-darknet importer-keras importer-onnx importer-paddle importer-pytorch importer-tensorflow importer-tflite tvmc vitis-ai xgboost dev all-prod

Tags

machine learning

Classifiers

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0.21.0.7

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0.21.0.5

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0.19.0.11 This release

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0.19.0.10

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0.19.0.9

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0.19.0.8

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