EKami

#######################################################
#! /bin/sh
# . /etc/rc.d/init.d/functions  # uncomment/modify for your killproc
case "$1" in
    start)
        echo "Starting noip2."
        /usr/local/bin/noip2
    ;;
    stop)
        echo -n "Shutting down noip2."

EKami

import tensorflow as tf
import time

# Import MNIST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

# Parameters
learning_rate = 0.001
training_iters = 200000

EKami

#! /bin/sh
# . /etc/rc.d/init.d/functions  # uncomment/modify for your killproc
case "$1" in
    start)
        echo "Starting noip2."
        /usr/local/bin/noip2
    ;;
    stop)
        echo -n "Shutting down noip2."
        killproc -TERM /usr/local/bin/noip2

EKami

mask_img = np.array(Image.open(mask.file, mode='r').convert('1'))

# Absolute WSI coordinates
dx = max(patch_x, mask.x)
dx2 = min(patch_x + self.crop_size, mask.x + mask.width)
dy = max(patch_y, mask.y)
dy2 = min(patch_y + self.crop_size, mask.y + mask.height)

# Make the coordinates relative to the mask position
dx = dx - mask.x

EKami

Traceback (most recent call last):
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/core/handlers/exception.py", line 35, in inner
    response = get_response(request)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/core/handlers/base.py", line 128, in _get_response
    response = self.process_exception_by_middleware(e, request)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/core/handlers/base.py", line 126, in _get_response
    response = wrapped_callback(request, *callback_args, **callback_kwargs)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/views/generic/base.py", line 69, in view
    return self.dispatch(request, *args, **kwargs)
  File "/Users/Ekami/Programs/anaconda/envs/dl/lib/python3.6/site-packages/django/views/generic/base.py", line 89, in dispatch

EKami

Error: Failed to start algorithm - Traceback (most recent call last):
  File "/opt/algorithm/bin/pipe.py", line 14, in <module>
    algorithm = __import__('src.'+config['algoname'], fromlist=["apply"])
  File "/opt/algorithm/src/srgan_algorithmia.py", line 6, in <module>
    from torchlite.eval import eval
  File "/opt/algorithm/dependencies/torchlite/eval/eval.py", line 5, in <module>
    from torchlite.data.datasets.srgan import EvalDataset
  File "/opt/algorithm/dependencies/torchlite/data/datasets/srgan.py", line 3, in <module>
    import torchlite.nn.transforms as ttransforms
  File "/opt/algorithm/dependencies/torchlite/nn/transforms.py", line 20, in <module>

EKami

import os
import requests
from io import BytesIO
import Algorithmia
from Algorithmia.acl import ReadAcl
from torchlite.eval import eval
from pathlib import Path
from PIL import Image
import uuid

EKami

import os
import requests
from io import BytesIO
import Algorithmia
from Algorithmia.acl import ReadAcl
from torchlite.eval import eval
from pathlib import Path
from PIL import Image
import uuid

EKami

import gym
from gym import wrappers

env = gym.make('CartPole-v0')
env = wrappers.Monitor(env, '/tmp/cartpole-experiment-1', force=True)

for i_episode in range(20):
    observation = env.reset()
    for t in range(100):
        env.render()