leechanwoo

datalab create instance_name --machine-type=f1-micro

leechanwoo

datalab connect instance_name

leechanwoo

import tensorflow as tf

const = tf.constant("hello tensorflow")

with tf.Session() as sess:
  result = sess.run(const)
  print(result)

leechanwoo

%writefile ./package/simple_code.py

import tensorflow as tf

const = tf.constant("hello tensorflow")

with tf.Session() as sess:
  result = sess.run(const)
  print(result)

leechanwoo

%bash
gcloud ml-engine jobs submit training first_job_submit \
--module-name=package.simple_code \
--package-path=$(pwd)/package \
--region=us-east1 \
--staging-bucket=gs://tensorflowprojects-mlengine \

leechanwoo

%writefile ./package/simple_neuralnet.py
import tensorflow as tf

up = [i for i in range(10)]
down = [9-i for i in range(10)]

x = tf.constant([up if i%2 == 0 else down for i in range(1000)], tf.float32)
y_ = tf.constant([[1] if i%2 == 0 else [0] for i in range(1000)], tf.float32)

layer1 = tf.layers.dense(x, 10)

leechanwoo

gcloud ml-engine jobs submit training simple_neuralnet \
--module-name=package.simple_neuralnet \
--package-path=$(pwd)/package \
--region=us-east1 \
--staging-bucket=gs://tensorflowprojects-mlengine

leechanwoo

gcloud ml-engine jobs submit training simple_neuralnet_gpu \
--module-name=package.simple_neuralnet \
--package-path=$(pwd)/package \
--region=us-east1 \
--staging-bucket=gs://tensorflowprojects-mlengine \
--scale-tier=BASIC_GPU

leechanwoo

%writefile ./config.yaml
trainingInput:
  masterType: complex_model_m_gpu

leechanwoo

gcloud ml-engine jobs submit training simple_neuralnet_8gpu \
--module-name=package.simple_neuralnet \
--package-path=$(pwd)/package \
--region=us-east1 \
--staging-bucket=gs://tensorflowprojects-mlengine \
--scale-tier=CUSTOM \
--config=./config.yaml