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mindspore2022
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Releases 22 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
34722 Commits
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584 MB
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15 Commits (a64920c46802a3030bfdf8754870ffb1e5c6ba78)

Author SHA1 Message Date
  Erpim 300456a2d7 clearing the untrusted code of quantization 4 years ago
  wangshuide2020 185ddbbe66 remove the redundant code, add docstring of operator init and add default value for args. 4 years ago
  wangshuide2020 296e756b50 fix the reduction args of Loss operator, line too long and other warning problems. 4 years ago
  wangshuide2020 9877a491dc fix the format, extract function and del redundant code. 4 years ago
  wangshuide2020 3551ee5a27 delete duplication_code, and fix the format and line too long problem. 5 years ago
  Erpim 90d5d5dab3 add lsq quantization method 5 years ago
  liangchenghui 37ee246c70 Add quant ops. 5 years ago
  jzg 2c6a9c8486 add fake-quant operators. 5 years ago
  chenzomi a834a6308e change some comment name in the whole project 5 years ago
  chenzomi bbce6faff9 remove _quant_ops.py from __init__.py 5 years ago
  wandongdong 86ba93629b split correction_mul op 5 years ago
  chenzomi b7db3e9a4b add fake quant per channel and bug fix 5 years ago
  wangdongxu6 9eee157c58 fix some quant op bug 5 years ago
  wandongdong d35c41e737 add custom tbe ops for quant aware training 6 years ago
  chenzomi d64f662c76 quantization aware training frontend operators define. 6 years ago