lelayf

I followed instructions documented at https://ubuntu.com/blog/getting-started-with-cuda-on-ubuntu-on-wsl-2.

A few things that wwere not documented:

• After the Insiders Dev channel install, my WSL kernel version was still unchanged. Restarting the computer fixed it.
• sudo service docker start did not work for me. It looks like Systemd is not/can't be the init system in WSL2. What worked is simply sudo dockerd. Then I had an issue with cgroups, fixed with:

sudo mkdir /sys/fs/cgroup/systemd
sudo mount -t cgroup -o none,name=systemd cgroup /sys/fs/cgroup/systemd

lelayf

#!/bin/sh

cd ~

# install bazel if you don't have it already
brew install bazel

# install Android NDK v14b in your home dir (more recent versions are NOT supported by Bazel)
# check https://developer.android.com/ndk/downloads/older_releases
curl -O https://dl.google.com/android/repository/android-ndk-r14b-darwin-x86_64.zip

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# coding: utf-8

# In[35]:

import numpy as np
import pandas as pd
import tensorflow as tf
import random
import math

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import random
random.seed(a=1337)
k_fold = KFold(n_splits=10)
LABEL_COLUMN = "Ask.Low.Pc_H4_8AM"

resultz=[]
layerz=[]
stepz=[]

for  i in range(100):

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Verifying that +lelayf is my blockchain ID. https://onename.com/lelayf

lelayf

# The train/test net protocol buffer definition
net: "lehedge_train_test.prototxt"
# test_iter specifies how many forward passes the test should carry out.
# In the case of MNIST, we have test batch size 100 and 100 test iterations,
# covering the full 10,000 testing images.
test_iter: 282
# Carry out testing every 500 training iterations.
test_interval: 564
# The base learning rate, momentum and the weight decay of the network.
base_lr: 0.0001

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import os, struct
import numpy as np
from array import array as pyarray
from numpy import append, array, int8, uint8, zeros

def read(digits, dataset = "training", path = "."):
    """
    Loads MNIST files into 3D numpy arrays

    Adapted from: http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py

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# save in $CAFFE_ROOT/examples/mnist 
../../python/classify.py --model_def ./lenet.prototxt --pretrained_model ./lenet_iter_10000 --mean_file='' --images_dim 28,28 --gpu --channel_swap '0' ~/lehedge/mnist-predict-100-twos.npy foo

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# Compliler is jdk 1.7 but jre is 1.6
# I got error 
javac -source 1.6 -target 1.6 -bootclasspath /usr/lib/jvm/java-6-sun-1.6.0.26/jre/lib/rt.jar AvroDataFileReader.java 

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;; thrifters

(defn thrift-order-item-line_price_net
  [id val]
  (DataUnit/order_item_property
    (OrderItemProperty.
      (OrderItemID/id id)
      (OrderItemPropertyValue/line_price_net val)
      (. (new Date) getTime))))