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# Imports
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
import pdb as pdb
from scipy import ndimage as nd
from scipy import signal

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import time
import sys



print 'hello',
sys.stdout.flush()
time.sleep(1)

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git clone https://github.com/vlfeat/matconvnet.git
cd matconvnet/matlab
run vl_setupnn
run vl_compilenn('enableGpu', true)
run vl_testnn('gpu', true)

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import find_mxnet
import mxnet as mx
from load_data import load
from sklearn.cross_validation import train_test_split
import logging
import pdb as pdb
import numpy as np
import matplotlib.pyplot as plt

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grep MXNET_REGISTER_OP_PROPERTY . -R
./src/operator/cross_device_copy.cc:            MXNET_REGISTER_OP_PROPERTY(_CrossDeviceCopy, CrossDeviceCopyProp)
./src/operator/convolution.cc:                  MXNET_REGISTER_OP_PROPERTY(Convolution, ConvolutionProp)
./src/operator/elementwise_sum.cc:              MXNET_REGISTER_OP_PROPERTY(ElementWiseSum, ElementWiseSumProp)
./src/operator/activation.cc:                   MXNET_REGISTER_OP_PROPERTY(Activation, ActivationProp)
./src/operator/reshape.cc:                      MXNET_REGISTER_OP_PROPERTY(Reshape, ReshapeProp)
./src/operator/reshape.cc:                      MXNET_REGISTER_OP_PROPERTY(Flatten, FlattenProp)
./src/operator/fully_connected.cc:              MXNET_REGISTER_OP_PROPERTY(FullyConnected, FullyConnectedProp)
./src/operator/softmax_output.cc:               MXNET_REGISTER_OP_PROPERTY(SoftmaxOutput, SoftmaxOutputProp)
./src/operator/softmax_output.cc:               MXNET_REGISTER_OP_PROPERTY(Softmax, DeprecatedSoftmaxProp)

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import numpy as np
import pdb as pdb


def batchnorm_forward(x, gamma, beta, eps):


  N, D = x.shape

  #step1: calciulate mean

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import numpy as np
import pdb as pdb

np.random.seed(0)
b = 5
h = 10
m = 3

# forward pass
W = np.random.randn(b, h)

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//: Playground - noun: a place where people can play

import UIKit

var str = "Hello, playground"

//
// Closure basicsg
//

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# 1. Generate .d file
g++ -std=c++11  -I`pwd`/../../OpenBLAS/installed/lib -MD -MF mxnet_predict0.d -I `pwd`/../ -I `pwd`/../mshadow/ -I `pwd`/../dmlc-core/include -I `pwd`/../include -c mxnet_predict0.cc 
rm mxnet_predict0.o

# 2. Run python script
Generating amalgamation to  mxnet_predict-all.cc
python ./amalgamation.py mxnet_predict0.d mxnet_predict0.cc mxnet_predict-all.cc 0
Not processed: mxnet_predict0.o:

# 3. Compile amalgamate code

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For automatic parameter setup, the filename must contain the following tokens, in any order.

    whatever_widthxheight_rateHz_precb_format.yuv



    width = integer number, the frame width in pixel
    height = integer number, the frame height in pixel
    rate = real number, the frames per second to be rendered