razhangwei

• logging
• misc
• numpy
• pandas
• plotting
• torch

razhangwei

import torch


# > https://github.com/pmelchior/proxmin/blob/master/proxmin/operators.py
def _step_gamma(step, gamma):
    """Update gamma parameter for use inside of continuous proximal operator.
    Every proximal operator for a function with a continuous parameter,
    e.g. gamma ||x||_1, needs to update that parameter to account for the
    stepsize of the algorithm.
    Returns:

razhangwei

find . -type f | xargs -Ix sed -i.bak -r 's/\r//g' x

find . -type f -name '*.bak' | xargs -Ix rm x

razhangwei

from .sccs import NeuralSCCS
from .log_linear_hawkes import LogLinearHawkes, StochasticLogAdditiveHawkes

__all__ = ["NeuralSCCS", "LogLinearHawkes", "StochasticLogLinearHawkes"]


def get_model(model, **kwargs):

    if model == 'N-SCCS':
        model = NeuralSCCS(**kwargs)

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class ByLengthBatchSampler(torch.utils.data.Sampler):
    """Pseduo bucketed batch sampler.

    Sample in a way that
    Args:
        lengths (list of int): the
        batch_size (int):
        drop_last (bool, optional): Defaults to False. [description]
    """

razhangwei

Usage:

printf {0..100} | ./ssh_wrapper.py echo --cpus 2 --gpus 1 --email -N 2
printf myscript.py" --foo "{0..100} | ./ssh_wrapper.py python --cpus 2 --gpus 1 --email -N 2

razhangwei

• Top features
  • Generate full cell of code with gemini
  • Expain error with gemini and Google search.
• Local connection
  • Option 1: jupyter notebook (simpler than docker, but with limited functionalities)

jupyter notebook \
    --NotebookApp.allow_origin='https://colab.research.google.com' \
    --port=8888 \
    --NotebookApp.port_retries=0

razhangwei

点赞收藏：PyTorch常用代码段整理合集

众所周知，程序猿在写代码时通常会在网上搜索大量资料，其中大部分是代码段。然而，这项工作常常令人心累身疲，耗费大量时间。所以，今天小编转载了知乎上的一篇文章，介绍了一些常用PyTorch代码段，希望能够为奋战在电脑桌前的众多程序猿们提供帮助！

razhangwei

mail -s "Subject" [email protected] << "Message"

razhangwei

! save to ~/.Xmodmap
clear Mod2
clear control
keycode 63 = Control_L
keycode 67 = Control_L
keycode 71 = Control_L
add control = Control_L