chetandhembre

#include <stdio.h>
#include<common.h>
#include <cassert>

/*
Implement a kernel that computes the dot-product of a and b and stores it in out.
You have 1 thread per position.
You only need 2 global reads and 1 global write per thread.

Note: For this problem you don't need to worry about number of shared reads. 

chetandhembre

                        //"avcoti" hexadecimal representation of the following three bytes in the (subset) sequence parameter set Network Abstraction Layer (NAL) unit specified in AVC:  1.profile_idc, 2.the byte containing the constraint_set flags (currently constraint_set0_flag through constraint_set5_flag, and the reserved_zero_2bits), 3.level_idc.
AVC1_CODEC_MAP = {                  
 ,"avc1.66.30":   {profile:"Baseline", level:3.0, max_bit_rate:10000}   //iOS friendly variation (iOS 3.0-3.1.2)
  "avc1.42001e":  {profile:"Baseline", level:3.0, max_bit_rate:10000}
 ,"avc1.42001f":  {profile:"Baseline", level:3.1, max_bit_rate:14000}

//other variations
 ,"avc1.77.30":   {profile:"Main",     level:3.0, max_bit_rate:10000}   //iOS friendly variation (iOS 3.0-3.1.2)
 ,"avc1.4d001e":  {profile:"Main",     level:3.0, max_bit_rate:10000}
 ,"avc1.4d001f":  {profile:"Main",     level:3.1, max_bit_rate:14000}

chetandhembre

EFS Mounting on Ubuntu

Get EFS ID

aws configure set preview.efs true
aws efs describe-file-systems --profile TEST --region us-east-2

{

chetandhembre

import math

import numpy as np
import gym
import tensorflow as tf

import matplotlib
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

chetandhembre

import math

import numpy as np
import gym
import tensorflow as tf

import matplotlib
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

chetandhembre

# https://dl.dropboxusercontent.com/u/47591917/cliff_world_episode_length.png
# https://dl.dropboxusercontent.com/u/47591917/cliff_world_episode_reward.png
# https://dl.dropboxusercontent.com/u/47591917/cliff_world_episode_timestamp.png
# https://dl.dropboxusercontent.com/u/47591917/cliff_world_path.png

import numpy as np
import matplotlib
import math
import pandas as pd
from matplotlib import pyplot as plt

chetandhembre

#graph solution
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_episode_length_sarsa.png
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_episode_reward_sarsa.png
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_episode_timestamp_sarsa.png
# https://dl.dropboxusercontent.com/u/47591917/windy_gride_path_sarsa.png
import numpy as np
import matplotlib
import math
import pandas as pd
from matplotlib import pyplot as plt

chetandhembre

#!#/usr/bin/python2
import numpy as np
import matplotlib
import math
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.mlab as mlab
from matplotlib.patches import Circle, Wedge, Polygon
from matplotlib.collections import PatchCollection
import matplotlib.patches as patches

chetandhembre

#!#/usr/bin/python2
#plot link: https://dl.dropboxusercontent.com/u/47591917/easy21_mc.png
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D


RED = 0
BLACK = 1

chetandhembre

#resultant graphs are here: https://dl.dropboxusercontent.com/u/47591917/demo.png
import numpy as np
import math
from matplotlib import pyplot as plt

class State(object):
  def __init__(self, capital):
    self.capital = capital

  def staked(self, stake):