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* Add support for yolonas in onnx * Add correct deps * Set ld library path * Refactor cudnn to only be used in amd64 * Add onnx to docs and add explainer at the top * Undo change * Update comment * Remove uneccesary * Remove line change
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15 lines
722 B
Plaintext
# NVidia TensorRT Support (amd64 only)
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--extra-index-url 'https://pypi.nvidia.com'
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numpy < 1.24; platform_machine == 'x86_64'
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tensorrt == 8.5.3.*; platform_machine == 'x86_64'
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cuda-python == 11.8; platform_machine == 'x86_64'
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cython == 0.29.*; platform_machine == 'x86_64'
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nvidia-cuda-runtime-cu12 == 12.1.*; platform_machine == 'x86_64'
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nvidia-cuda-runtime-cu11 == 11.8.*; platform_machine == 'x86_64'
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nvidia-cublas-cu11 == 11.11.3.6; platform_machine == 'x86_64'
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nvidia-cudnn-cu11 == 8.5.0.*; platform_machine == 'x86_64'
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nvidia-cufft-cu11==10.*; platform_machine == 'x86_64'
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onnx==1.14.0; platform_machine == 'x86_64'
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onnxruntime-gpu==1.17.*; platform_machine == 'x86_64'
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protobuf==3.20.3; platform_machine == 'x86_64'
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