tinhb92
/ Run external Python script in Golang
Created
September 3, 2022 16:12
— forked from olegpolukhin/Run external Python script in Golang
run external Python script in Golang
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| package main | |
| import ( | |
| "bufio" | |
| "fmt" | |
| "io" | |
| "os/exec" | |
| ) | |
| func main() { |
tinhb92
/ install_basic.sh
Last active
April 29, 2019 17:17
— forked from jph00/install_basic.sh
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| sudo add-apt-repository -y ppa:apt-fast/stable | |
| sudo add-apt-repository -y ppa:graphics-drivers/ppa | |
| sudo apt-get update | |
| sudo apt-get -y install apt-fast | |
| # prompts | |
| sudo apt-fast -y upgrade | |
| sudo apt-fast install -y ubuntu-drivers-common libvorbis-dev libflac-dev libsndfile-dev cmake build-essential libgflags-dev libgoogle-glog-dev libgtest-dev google-mock zlib1g-dev libeigen3-dev libboost-all-dev libasound2-dev libogg-dev libtool libfftw3-dev libbz2-dev liblzma-dev libgoogle-glog0v5 gcc-6 gfortran-6 g++-6 doxygen graphviz libsox-fmt-all parallel exuberant-ctags vim-nox python-powerline python3-pip | |
| sudo apt-fast install -y tigervnc-standalone-server firefox lsyncd mesa-common-dev ack |
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| learn = Learner(dat, DartsRnnSearch(), | |
| opt_func = torch.optim.SGD, | |
| callback_fns = [ | |
| HidInit, | |
| partial(ArchParamUpdate, search_dat=search_dat, | |
| arch_lr=arch_lr, arch_wdecay=arch_wdecay, wdecay=wdecay), | |
| Regu, | |
| PrintGenotype, | |
| partial(GradientClipping, clip=clip), | |
| partial(CSVLogger, filename = csv_name, append = True), |
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| def train(): | |
| assert args.batch_size % args.small_batch_size == 0, 'batch_size must be divisible by small_batch_size' | |
| # Turn on training mode which enables dropout. | |
| total_loss = 0 | |
| start_time = time.time() | |
| ntokens = len(corpus.dictionary) | |
| hidden = [model.init_hidden(args.small_batch_size) for _ in range(args.batch_size // args.small_batch_size)] | |
| hidden_valid = [model.init_hidden(args.small_batch_size) for _ in range(args.batch_size // args.small_batch_size)] | |
| batch, i = 0, 0 |
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| def one_batch(self, i, xb, yb): | |
| try: | |
| self.iter = i | |
| self.xb,self.yb = xb,yb; self('begin_batch') | |
| self.pred = self.model(self.xb); self('after_pred') | |
| self.loss = self.loss_func(self.pred, self.yb); self('after_loss') | |
| if not self.in_train: return | |
| self.loss.backward(); self('after_backward') | |
| self.opt.step(); self('after_step') | |
| self.opt.zero_grad() |