Save outputs in Kubernetes tutorial.
"```"
]
},
- {
- "cell_type": "markdown",
- "metadata": {
- "colab_type": "text",
- "id": "eMl3-DyXX9zZ"
- },
- "source": [
- ""
- ]
- },
{
"cell_type": "markdown",
"metadata": {
"cell_type": "code",
"execution_count": 0,
"metadata": {
- "colab": {},
+ "colab": {
+ "height": 34
+ },
"colab_type": "code",
- "id": "ke7EyuvG0Zyn"
+ "executionInfo": {
+ "elapsed": 1221,
+ "status": "ok",
+ "timestamp": 1582738221300,
+ "user": {
+ "displayName": "",
+ "photoUrl": "",
+ "userId": ""
},
- "outputs": [],
+ "user_tz": 480
+ },
+ "id": "ke7EyuvG0Zyn",
+ "outputId": "3d889b93-cf09-4faa-abaa-79bd5d340604"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ ""
+ ]
+ }
+ ],
"source": [
"#@test {\"skip\": true}\n",
"!pip install --upgrade tensorflow_federated"
},
{
"cell_type": "code",
- "execution_count": 0,
+ "execution_count": 7,
"metadata": {
- "colab": {},
+ "colab": {
+ "height": 215
+ },
"colab_type": "code",
- "id": "mTs9qu87esdN"
+ "executionInfo": {
+ "elapsed": 450,
+ "status": "error",
+ "timestamp": 1582738327955,
+ "user": {
+ "displayName": "",
+ "photoUrl": "",
+ "userId": ""
},
- "outputs": [],
+ "user_tz": 480
+ },
+ "id": "mTs9qu87esdN",
+ "outputId": "f71715d1-b3db-41e1-cdd1-b06c1d78bca1"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ ""
+ ]
+ }
+ ],
"source": [
"# Note: Jupyter requires a patch to asyncio.\n",
"!pip install --quiet --upgrade nest_asyncio\n",
},
{
"cell_type": "code",
- "execution_count": 0,
+ "execution_count": 11,
"metadata": {
- "colab": {},
+ "colab": {
+ "height": 783
+ },
"colab_type": "code",
- "id": "mw92IA6_Zrud"
+ "executionInfo": {
+ "elapsed": 3663,
+ "status": "error",
+ "timestamp": 1582738348897,
+ "user": {
+ "displayName": "",
+ "photoUrl": "",
+ "userId": ""
},
- "outputs": [],
+ "user_tz": 480
+ },
+ "id": "mw92IA6_Zrud",
+ "outputId": "a54611a1-3a1e-4be0-95f0-f37ca686192c"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ ""
+ ]
+ }
+ ],
"source": [
"evaluate()"
]
