3-tf-hyperopt-training-script/upload_source_to_s3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Specify a bucket name for saving training scripts**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucket_name = 'BUCKET_NAME'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Create a tar file with training scripts**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cifar10-training-script-sagemaker.py\n",
      "inference.py\n",
      "requirements.txt\n"
     ]
    }
   ],
   "source": [
    "!tar cvfz sourcedir.tar.gz cifar10-training-script-sagemaker.py inference.py requirements.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Upload the tar file to S3**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upload: ./sourcedir.tar.gz to s3://sagemaker-jobs/training-scripts/sourcedir.tar.gz\n"
     ]
    }
   ],
   "source": [
    "!aws s3 cp sourcedir.tar.gz s3://{bucket_name}/training-scripts/"
   ]
  }
 ],
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