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ad5076f645
* Combine base and arm trt detectors * Remove unused deps for amd64 build * Add missing packages and cleanup ldconfig * Expand packages for tensorflow model training * Cleanup * Refactor training to not reserve memory
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20 lines
1.0 KiB
Plaintext
# NVidia TensorRT Support (amd64 only)
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--extra-index-url 'https://pypi.nvidia.com'
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cython==3.0.*; platform_machine == 'x86_64'
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nvidia_cuda_cupti_cu12==12.5.82; platform_machine == 'x86_64'
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nvidia-cublas-cu12==12.5.3.*; platform_machine == 'x86_64'
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nvidia-cudnn-cu12==9.3.0.*; platform_machine == 'x86_64'
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nvidia-cufft-cu12==11.2.3.*; platform_machine == 'x86_64'
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nvidia-curand-cu12==10.3.6.*; platform_machine == 'x86_64'
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nvidia_cuda_nvcc_cu12==12.5.82; platform_machine == 'x86_64'
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nvidia-cuda-nvrtc-cu12==12.5.82; platform_machine == 'x86_64'
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nvidia_cuda_runtime_cu12==12.5.82; platform_machine == 'x86_64'
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nvidia_cusolver_cu12==11.6.3.*; platform_machine == 'x86_64'
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nvidia_cusparse_cu12==12.5.1.*; platform_machine == 'x86_64'
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nvidia_nccl_cu12==2.23.4; platform_machine == 'x86_64'
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nvidia_nvjitlink_cu12==12.5.82; platform_machine == 'x86_64'
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tensorflow==2.19.*; platform_machine == 'x86_64'
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onnx==1.16.*; platform_machine == 'x86_64'
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onnxruntime-gpu==1.22.*; platform_machine == 'x86_64'
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protobuf==3.20.3; platform_machine == 'x86_64'
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