Egor Burkov shrubb
shrubb
/ mount-sshfs.bat
Created
September 22, 2025 08:41
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| set PATH="C:\Program Files\SSHFS-Win\bin" | |
| sshfs aws2: Z: -f "-odebug,sshfs_debug,loglevel=debug" -o idmap=user | |
| pause |
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| nohup tensorboard --logdir . --samples_per_plugin scalars=500,images=90 --port 8091 --host 0.0.0.0 > tensorboard-log.txt 2>&1 & |
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| import random | |
| def partition(array, start, end, pivot_idx): | |
| pivot = array[pivot_idx] | |
| array[pivot_idx], array[end - 1] = array[end - 1], array[pivot_idx] | |
| left, right = start, end - 2 | |
| # invariant: | |
| # array[< left] < pivot | |
| # array[> right] >= pivot |
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| #include <cstdio> | |
| #include <cstdlib> | |
| #include <iostream> | |
| #include <algorithm> | |
| #include <vector> | |
| #include <map> | |
| #include <set> | |
| #include <queue> | |
| #include <cstring> | |
| #include <cmath> |
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| # usage: | |
| # $ ls | |
| # 2.23.1.jpeg 2.23.jpg DSC_0383.JPG DSC_0411.JPG DSC_0439.JPG DSC_0467.JPG | |
| # DSC_0496.JPG DSC_0524.JPG DSC_0553.JPG DSC_0582.JPG DSC_0610.JPG DSC_0638.JPG | |
| # DSC_0384.JPG DSC_0412.JPG DSC_0440.JPG DSC_0468.JPG DSC_0497.JPG DSC_0525.JPG | |
| # ... ... ... | |
| # DSC_0611.JPG DSC_0639.JPG DSC_0357.NEF DSC_0385.JPG DSC_0413.JPG DSC_0441.JPG | |
| # DSC_0554.JPG DSC_0583.JPG DSC_0358.NEF DSC_0386.JPG DSC_0414.JPG DSC_0442.JPG | |
| # $ ./../rename.sh |
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| LIBS_ROOT=/nfs/hpc-4/hdd-raid/e_burkov/Libraries | |
| # CMake variables (CMake will detect them) | |
| CUDNN_ROOT=$LIBS_ROOT/cudnn-11.3 | |
| export CUDNN_LIBRARY_PATH=$CUDNN_ROOT/lib64/libcudnn.so | |
| export CUDNN_LIBRARY=$CUDNN_ROOT/lib64 | |
| export CUDNN_INCLUDE_PATH=$CUDNN_ROOT/include | |
| export CUDNN_INCLUDE_DIR=$CUDNN_ROOT/include | |
| # Environment variables that will be detected too but aren't CMake variables |
shrubb
/ measure-time-dw-conv.lua
Created
August 4, 2017 21:00
A rough benchmark script for depthwise convolution
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| require 'cunn' | |
| torch.setdefaulttensortype('torch.FloatTensor') | |
| torch.manualSeed(666) | |
| cutorch.manualSeed(666) | |
| -- change these as needed | |
| -- no automated testing, sorry :( | |
| local nInputPlane, nOutputPlane, inputHeight, inputWidth = 128, 1, 52, 52 |
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| def get_next_token_probabilities(curr_token_sequence, z, embed_fn, decode_fn): | |
| curr_tokens_embeddings = embed_fn([curr_token_sequence]) | |
| return decode_fn(curr_tokens_embeddings, z)[0][-1] | |
| def beam_search_step(current_token_sequence, get_next_token_probabilities, depth=3, width=4): | |
| """ | |
| returns: next token guess | |
| """ | |
| candidates = [(1.0, [])] # (probability, candidate_appendix) | |
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| # encoding: utf-8 | |
| import sys | |
| import csv | |
| import re | |
| def preprocess_text(text): | |
| text = text.replace('\t', '') | |
| text = text.replace('ё' , 'е') | |
| text = text.replace('…' , '...') | |
| for c in '–—–': |
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