upload_models.ipynb

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   "source": [
    "import dropbox\n",
    "from u import *\n",
    "\n",
    "dbx = dropbox.Dropbox(os.environ['DROPBOX_TOKEN'])\n",
    "dbx.users_get_current_account()\n",
    "\n",
    "def upload(src_path, dst_path):\n",
    "    print('Uploading file', src_path, 'to', dst_path)\n",
    "    f = open(src_path, 'rb')\n",
    "    file_size = os.path.getsize(src_path)\n",
    "\n",
    "    CHUNK_SIZE = 4 * 1024 * 1024\n",
    "\n",
    "    if file_size <= CHUNK_SIZE:\n",
    "        print(dbx.files_upload(f.read(), dst_path))\n",
    "    else:\n",
    "        upload_session_start_result = dbx.files_upload_session_start(f.read(CHUNK_SIZE))\n",
    "        cursor = dropbox.files.UploadSessionCursor(session_id=upload_session_start_result.session_id,\n",
    "                                                   offset=f.tell())\n",
    "        commit = dropbox.files.CommitInfo(path=dst_path)\n",
    "\n",
    "        while f.tell() < file_size:\n",
    "            if ((file_size - f.tell()) <= CHUNK_SIZE):\n",
    "                print(dbx.files_upload_session_finish(f.read(CHUNK_SIZE), cursor, commit))\n",
    "            else:\n",
    "                dbx.files_upload_session_append(f.read(CHUNK_SIZE),\n",
    "                                                cursor.session_id,\n",
    "                                                cursor.offset)\n",
    "                cursor.offset = f.tell()"
   ]
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   },
   "outputs": [],
   "source": [
    "for exp in Res.ls()[0]:\n",
    "    c = Config(exp)\n",
    "    max_step = max(c.get_saved_model_steps())\n",
    "    path = c.model_save(max_step).rel('.')\n",
    "    upload(path, '/' + path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
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