[DRAFT][onert-micro] Introduce Huffman Transcoder #12744
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Output for this example: As we can see - using this coding of quantized weights we can significantly compress weights tensor (under the assumption that it contains many identical values) |
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This commit introduces Huffman Transcoder for lossless weight compression. ONE-DCO-1.0-Signed-off-by: Vyacheslav Bazhenov <slavikmipt@gmail.com>
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| // std::cout << "Huffman Codes are :\n"; | ||
| // for (auto pair : huffmanCode) { | ||
| // std::cout << static_cast<int>(pair.first) << " " << pair.second << '\n'; | ||
| // } |
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I think need to be remove, right?)
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| // TODO: replace string with bitset or bool vector | ||
| // print encoded string | ||
| std::string str = ""; |
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Maybe better rewrite it to bool or bitset in this draft? Since a string can take up a lot of extra memory, and then check memory after that?
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This commit introduces Huffman Transcoder for lossless weight compression.
ONE-DCO-1.0-Signed-off-by: Vyacheslav Bazhenov slavikmipt@gmail.com