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🎉 Let’s Celebrate Emoji
🌟 We use emojis every day, so why not celebrate them? Welcome to 🌏 World Emoji Day😜 Join in the celebration on Twitter, Instagram or Facebook using the hashtag #WorldEmojiDay😜



🙋 Why July 17?

July 17 1 is famously displayed on the iOS Calendar Emoji, which makes it perfect date for World Emoji Day😜 Even if you are using a system with a different calendar emoji, that shouldn’t stop you joining in the global celebration of emoji😜

🗓 Join the Event

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test

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import matplotlib.pyplot as plt
import mxnet as mx
import logging
import numpy as np
from sklearn.model_selection import train_test_split

logging.getLogger().setLevel(logging.DEBUG)

# lineral equation
def f(x):

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# lineral equation
def f2(x):
    # a = 5
    # b = 2
    return - 5 * x + 2

# Data
X2 = np.arange(100, step=0.001)
Y2 = f2(X2)

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git clone https://github.com/blog-kovalevskyi-com/mxnet_distributed_lr_model_training_2.git
cd mxnet_distributed_lr_model_training_2
cd loop_training
chmod +x start.sh
./start.sh

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$ source activate tf_cu90
(tf_cu90) $ pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl

Collecting tensorflow-gpu==1.5.0 from https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl
  Downloading https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.5.0-cp36-cp36m-linux_x86_64.whl (222.5MB)
    100% |████████████████████████████████| 222.5MB 6.1kB/s
Requirement already satisfied: protobuf>=3.4.0 in ./anaconda3/lib/python3.6/site-packages (from tensorflow-gpu==1.5.0)
Requirement already satisfied: wheel>=0.26 in ./anaconda3/lib/python3.6/site-packages (from tensorflow-gpu==1.5.0)
Requirement already satisfied: numpy>=1.12.1 in ./anaconda3/lib/python3.6/site-packages (from tensorflow-gpu==1.5.0)
Requirement already satisfied: six>=1.10.0 in ./anaconda3/lib/python3.6/site-packages (from tensorflow-gpu==1.5.0)

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#!/bin/sh
ORIGINAL_LD_LIBRARY_PATH=$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:/usr/local/cuda-9.0/extras/CUPTI/lib64:/lib/nccl/cuda-9:$LD_LIBRARY_PATH

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mkdir -p ~/anaconda3/envs/tf_cu90/etc/conda/activate.d
touch ~/anaconda3/envs/tf_cu90/etc/conda/activate.d/activate.sh
vim ~/anaconda3/envs/tf_cu90/etc/conda/activate.d/activate.sh
chmod +x ~/anaconda3/envs/tf_cu90/etc/conda/activate.d/activate.sh

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(tf_cu90) $ source deactivate
$ source activate tf_cu90
(tf_cu90) $ python
Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct 13 2017, 12:02:49)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
/home/ubuntu/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py:962: UserWarning: Duplicate key in file "/home/ubuntu/.config/matplotlib/matplotlibrc", line #2

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(tf_cu90) $ source deactivate
$ echo $LD_LIBRARY_PATH
/usr/local/cuda-9.0/lib64:/usr/local/cuda-9.0/extras/CUPTI/lib64:/lib/nccl/cuda-9:/usr/lib64/openmpi/lib/: