nvidia-modelopt
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Wheel Details
Project: | nvidia-modelopt |
Version: | 0.19.0 |
Filename: | nvidia_modelopt-0.19.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
Download: | [link] |
Size: | 5130550 |
MD5: | e559899f1aa9d252a3ea67124af88471 |
SHA256: | 5b100ab7f737ca59ede4efe3deb95520f80d838a9e1c476405152f8fdce6e131 |
Uploaded: | 2024-10-23 18:16:37 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | setuptools (75.2.0) |
Root-Is-Purelib: | false |
Tag: | cp39-cp39-manylinux_2_17_x86_64 |
Tag: | cp39-cp39-manylinux2014_x86_64 |
RECORD
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modelopt/torch/nas/modules/linear.py | sha256=FCUm3JYHlzWypgTzEx3hRXCq51dOWKDPx9qEboL94uY | 3076 |
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modelopt/torch/nas/plugins/torch.py | sha256=ZW2oYHjcoxS1EdFGJcXH84eUxP_PVh7eh8wRPtD2H9I | 2442 |
modelopt/torch/nas/plugins/transformer_engine.py | sha256=tAqlyV-CF9b70vUBgXw4pSgHnVZJkB4z1O3nktEz6ZY | 1501 |
modelopt/torch/nas/plugins/transformers.py | sha256=3JItlfA70qh6WN1y1yWdjq2UgvNXEaV8SucGnlBhXkQ | 8178 |
modelopt/torch/nas/hparams/concat.py | sha256=y6MB7LzeGpQdh16a6kfExoUJGP08RdZFuyVeD1qb8GA | 12429 |
modelopt/torch/nas/hparams/__init__.py | sha256=4ymvKGxPcXMg4yCEvlCJ5mq-OdMtVnUocLiJ0r7YAJs | 675 |
modelopt/torch/nas/hparams/container.py | sha256=2nCvmUYuqV1f9qCzUF95uRD-7jK45Vdh-FghFgCI0lw | 1611 |
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modelopt/torch/prune/__init__.py | sha256=ZGH3rNm_5hBT7dioRcA9OA3KDWON6UGhQe7-BRa3GkM | 978 |
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modelopt/torch/prune/plugins/megatron.py | sha256=NdfTjf0nBEDzSKWTXAV6PkS3aFf1RlAckEjMfZ6zMd8 | 1100 |
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modelopt/onnx/op_types.py | sha256=9TUOJwZY0Nr44JOm0t1TcWd1y9dilQc8ylhkg_xNOhs | 6936 |
modelopt/onnx/utils.py | sha256=FMZz2_Lg8nkAjalNietrhBGz0z4DHCG_toit2UxzbPM | 20375 |
modelopt/onnx/quantization/ort_patching.py | sha256=UopaRU0tP5buhK5FS6MjZ3lY5JIcQK7xs09Sto-O8so | 25000 |
modelopt/onnx/quantization/quant_utils.py | sha256=0ojVhq1wQVlyO8nqa4xk21ULYR7G30ewj0xiarMOqMI | 4722 |
modelopt/onnx/quantization/__init__.py | sha256=zPAkdyG0IKaHkuktUb7EBLL1GUqzqsJctPqSF-5ok5g | 640 |
modelopt/onnx/quantization/graph_utils.py | sha256=SNP3GMrsvUvD94kcptuCTOxJgEKGe27UiEDJX5YgYs8 | 39902 |
modelopt/onnx/quantization/ort_utils.py | sha256=nUTFYKMOsjx7EfBowtA_UDdN9Zd-B9Tm-m1i4G65W6g | 4959 |
modelopt/onnx/quantization/fp8.py | sha256=IUBkeBX-7_6ri8E-jPwxVDZDatt7LBeLixg3hlMa600 | 10117 |
modelopt/onnx/quantization/int8.py | sha256=Jiw6ISPM9kT6Uc4d424B5vVnK8Q_pLgkj28yoMrZmtg | 10361 |
modelopt/onnx/quantization/extensions.py | sha256=Ah2rAyuLHraJ9-4GUMm5fK11Z__qLAl_HjDZZWQ0BZs | 1080 |
modelopt/onnx/quantization/trt_utils.py | sha256=-DE1qjWlVbJ1znga_-QlB4ABnoyhq8l0wCm_NEcjwAs | 3983 |
modelopt/onnx/quantization/quantize.py | sha256=MOmWGGjSx3ZOljNm0UDJqvPmf9PygeDehAFGrQ16ElQ | 17361 |
modelopt/onnx/quantization/gs_patching.py | sha256=FhoF6T2Z3fwVbXJ2MxUus5hw5MtAfO5I819Uik0galI | 4017 |
modelopt/onnx/quantization/partitioning.py | sha256=J9_HhlPv5KfHLaejT49kAotjpCip8B3E5Jri4GrwOaM | 13816 |
modelopt/onnx/quantization/int4.py | sha256=l6LA-2jovh8_9Wwlw4KQjz6HYyc5eWFGwLWaxoIA6Wk | 43564 |
modelopt/onnx/quantization/__main__.py | sha256=Kk2VuQoDlVRuYrKOcZX8cxkzmXqyJ7SRcHvj9SRT9ts | 8124 |
modelopt/onnx/quantization/qdq_utils.py | sha256=pNJ79GgEPWYEGVPE6SMw-O0EGpcxDF32k1Q_omUs-jM | 19334 |
modelopt/onnx/quantization/calib_utils.py | sha256=bP2tt1rK9vIwrAdS8VDchZ7CPt9hdnWWdhlxbzBMADA | 5160 |
modelopt/onnx/quantization/operators.py | sha256=Y_cQSdnSoP0h4LHpV1rK4-qISTgUMOtrv2YjFX1PTbk | 4251 |
modelopt/onnx/quantization/src/modelopt_round_and_pack_ext.cpp | sha256=YZA8R9RMNdqrhbhmWMBROHb1sjm5KPId37x_5GBJFuY | 4088 |
modelopt/deploy/__init__.py | sha256=duhegEd1OSrG5RzIhV1raqtwyS-qJlHX28cp1JOa7R8 | 593 |
modelopt/deploy/llm/__init__.py | sha256=0jzH15h7-ATGynklKbtngl114Y_95HaWW5Cj-vKu9hI | 1031 |
modelopt/deploy/llm/nemo_utils.py | sha256=Xs9RofolZ3GBhp0-Tsmmszypg7MnX7sNvsFpQPcmPnk | 7158 |
modelopt/deploy/llm/generate.py | sha256=F4OiY-e647NU6qNveTPSoBpu0v28Iw4HOcZQAF4k-40 | 10026 |
top_level.txt
modelopt