bkj

    cudaError_t Core(int peer_ = 0)
    {
        // --
        // Alias variables

        auto &data_slice = this -> enactor ->
            problem -> data_slices[this -> gpu_num][0];

        auto &enactor_slice = this -> enactor ->
            enactor_slices[this -> gpu_num * this -> enactor -> num_gpus + peer_];

bkj

// raw CUDA implementation of 
// ```python
// x = np.random.uniform((0, 1), (1000, 10))
// col_max = x.max(axis=0, keepdims=True)
// x = x - col_max
// x = exp(x)
// exp_col_sum = x.sum(axis=0, keepdims=True)
// x = log(x) - exp_col_sum
// ```

bkj

// CUDA CUB implementation of 
// ```python
// x = np.random.uniform((0, 1), (1000, 10))
// x -= x.max(axis=0, keepdims=True) # subtract max element column-wise
// x = np.exp(x) # exponentiate all values
// x /= x.sum(axis=0, keepdims=True) # divide by column sums
// ```

__global__ void __transpose(double *d_xt, double *d_x, int num_rows, int num_cols) {
  int offset = threadIdx.x + blockDim.x * blockIdx.x;

bkj

#!/usr/bin/env python

"""
    snap_scan_statistics.py
"""

from __future__ import division, print_function

import sys
import snap

bkj

#!/bin/bash

# sdh-init.sh

# --
# Set current repo name (on github) and target repo name (on gitlab.sdh.cloud)

REPO_NAME="bhtsne"
REPO_URL="https://github.com/lvdmaaten/bhtsne"
TARGET_NAME="bhtsne"

bkj

#!/bin/bash

cleanup() {
    echo "cleanup";
    local pids=$(jobs -pr);
    [ -n "$pids" ] && kill $pids;
};
trap "cleanup" INT QUIT TERM EXIT

# Put this at the beginning of a file to kill children

bkj

#!/usr/bin/env python
"""
   pca_svd.py
"""

from sklearn.decomposition import TruncatedSVD, PCA
import numpy as np

X = np.random.normal(0, 1, (100, 10))
X -= X.mean(axis=0)

bkj

#!/bin/bash

cat urls | shuf > tmp
cat tmp | paste - tmp | sed 's@\thttp://@\n\tout=dest/@' > aria-urls
cat aria-urls | aria2c -j8 --deferred-input --auto-file-renaming=false -i -

bkj

#!/usr/bin/env python

"""
  quiet-logs.py
  
  Supress annoying warning messages in `pyspark`
"""

def quiet_logs(sc):
  logger = sc._jvm.org.apache.log4j

bkj

#!/usr/bin/env python

"""
    eval.py
"""

from __future__ import print_function, division

import sys
import argparse