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0.11.0 brevitas-0.11.0-py3-none-any.whl

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Project: brevitas
Version: 0.11.0
Filename: brevitas-0.11.0-py3-none-any.whl
Download: [link]
Size: 706609
MD5: 186507fbdead5817b4ebfa85b76161cd
SHA256: 0350a5516bbcd2eb3c6d504d9d32425129a62ad62d39df57ece820c45301a0b5
Uploaded: 2024-10-10 12:33:11 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: brevitas
Version: 0.11.0
Summary: Quantization-aware training in PyTorch
Author: Alessandro Pappalardo
Author-Email: alessand[at]amd.com
Home-Page: https://github.com/Xilinx/brevitas
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Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4800 characters]

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brevitas-0.11.0.dist-info/RECORD — —

top_level.txt

brevitas
brevitas_examples

entry_points.txt

[console_scripts]
brevitas_bnn_pynq_train = brevitas_examples.bnn_pynq.bnn_pynq_train:main
brevitas_melgan_preprocess = brevitas_examples.text_to_speech.preprocess_dataset:main
brevitas_melgan_val = brevitas_examples.text_to_speech.melgan_val:main
brevitas_ptq_imagenet_val = brevitas_examples.imagenet_classification.ptq.ptq_evaluate:main
brevitas_ptq_llm = brevitas_examples.llm.main:main
brevitas_qat_imagenet_val = brevitas_examples.imagenet_classification.qat.imagenet_val:main
brevitas_quartznet_preprocess = brevitas_examples.speech_to_text.get_librispeech_data:main
brevitas_quartznet_val = brevitas_examples.speech_to_text.quartznet_val:main