jp6/cu126/: tvm-0.18.1 metadata and description

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TVM: An End to End Tensor IR/DSL Stack for Deep Learning Systems

author Apache TVM
classifiers
  • License :: OSI Approved :: Apache Software License
  • Development Status :: 4 - Beta
  • Intended Audience :: Developers
  • Intended Audience :: Education
  • Intended Audience :: Science/Research
description_content_type text/markdown
download_url https://github.com/apache/tvm/tags
keywords machine learning
license Apache
requires_dist
  • attrs
  • cloudpickle
  • decorator
  • ml-dtypes
  • numpy
  • packaging
  • psutil
  • scipy
  • tornado
  • typing-extensions
  • attrs; extra == "all-prod"
  • cloudpickle; extra == "all-prod"
  • coremltools; extra == "all-prod"
  • decorator; extra == "all-prod"
  • ethos-u-vela==3.8.0; extra == "all-prod"
  • future; extra == "all-prod"
  • h5py==2.10.0; extra == "all-prod"
  • ml-dtypes; extra == "all-prod"
  • numpy; extra == "all-prod"
  • onnx; extra == "all-prod"
  • onnxoptimizer; extra == "all-prod"
  • onnxruntime; extra == "all-prod"
  • opencv-python; extra == "all-prod"
  • packaging; extra == "all-prod"
  • paddlepaddle; extra == "all-prod"
  • progressbar; extra == "all-prod"
  • protobuf; extra == "all-prod"
  • psutil; extra == "all-prod"
  • scikit-image; extra == "all-prod"
  • scipy; extra == "all-prod"
  • six; extra == "all-prod"
  • tensorflow; extra == "all-prod"
  • tensorflow-estimator; extra == "all-prod"
  • tflite; extra == "all-prod"
  • torch; extra == "all-prod"
  • torchvision; extra == "all-prod"
  • tornado; extra == "all-prod"
  • typing-extensions; extra == "all-prod"
  • xgboost>=1.1.0; extra == "all-prod"
  • astroid; extra == "dev"
  • autodocsumm; extra == "dev"
  • black==20.8b1; extra == "dev"
  • commonmark>=0.7.3; extra == "dev"
  • cpplint; extra == "dev"
  • docutils<0.17; extra == "dev"
  • image; extra == "dev"
  • matplotlib; extra == "dev"
  • pillow; extra == "dev"
  • pylint; extra == "dev"
  • sphinx; extra == "dev"
  • sphinx-autodoc-annotation; extra == "dev"
  • sphinx-gallery; extra == "dev"
  • sphinx-rtd-theme; extra == "dev"
  • types-psutil; extra == "dev"
  • ethos-u-vela==3.8.0; extra == "ethosu"
  • numpy; extra == "importer-caffe"
  • protobuf; extra == "importer-caffe"
  • scikit-image; extra == "importer-caffe"
  • six; extra == "importer-caffe"
  • future; extra == "importer-caffe2"
  • torch; extra == "importer-caffe2"
  • coremltools; extra == "importer-coreml"
  • opencv-python; extra == "importer-darknet"
  • tensorflow; extra == "importer-keras"
  • tensorflow-estimator; extra == "importer-keras"
  • future; extra == "importer-onnx"
  • onnx; extra == "importer-onnx"
  • onnxoptimizer; extra == "importer-onnx"
  • onnxruntime; extra == "importer-onnx"
  • torch; extra == "importer-onnx"
  • torchvision; extra == "importer-onnx"
  • paddlepaddle; extra == "importer-paddle"
  • future; extra == "importer-pytorch"
  • torch; extra == "importer-pytorch"
  • torchvision; extra == "importer-pytorch"
  • tensorflow; extra == "importer-tensorflow"
  • tensorflow-estimator; extra == "importer-tensorflow"
  • tensorflow; extra == "importer-tflite"
  • tensorflow-estimator; extra == "importer-tflite"
  • tflite; extra == "importer-tflite"
  • ethos-u-vela==3.8.0; extra == "tvmc"
  • future; extra == "tvmc"
  • onnx; extra == "tvmc"
  • onnxoptimizer; extra == "tvmc"
  • onnxruntime; extra == "tvmc"
  • paddlepaddle; extra == "tvmc"
  • tensorflow; extra == "tvmc"
  • tflite; extra == "tvmc"
  • torch; extra == "tvmc"
  • torchvision; extra == "tvmc"
  • xgboost>=1.1.0; extra == "tvmc"
  • h5py==2.10.0; extra == "vitis-ai"
  • progressbar; extra == "vitis-ai"
  • future; extra == "xgboost"
  • torch; extra == "xgboost"
  • xgboost>=1.1.0; extra == "xgboost"

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
tvm-0.18.1-cp310-cp310-linux_aarch64.whl
Size
850 MB
Type
Python Wheel
Python
3.10

Open Deep Learning Compiler Stack

Documentation | Contributors | Community | Release Notes

Build Status WinMacBuild

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.