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adammichaelwoodTensorflow Cloud maintainers
adammichaelwood
authored and
Tensorflow Cloud maintainers
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Makes superfluous output cells nicer.
PiperOrigin-RevId: 374644614
1 parent 006de16 commit f7336cb

5 files changed

+155
-147
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‎g3doc/tutorials/distributed_training_nasnet_with_tensorflow_cloud.ipynb‎

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"# limitations under the License."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "4FIdRGBH_gMj"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3.6.13\n"
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]
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}
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],
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"source": [
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"import platform\n",
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"print(platform.python_version())"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"## Import required modules"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "Kw7YV8nN0gEb"
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},
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"outputs": [
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{
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"data": {
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"application/vnd.google.colaboratory.intrinsic+json": {
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"type": "string"
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},
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"text/plain": [
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"'2.6.0'"
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]
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},
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"execution_count": 1,
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"metadata": {
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"tags": []
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},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import tensorflow as tf\n",
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"tf.version.VERSION"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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},
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"outputs": [],
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"source": [
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"import os\n",
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"import sys\n",
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"import tensorflow as tf\n",
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"import subprocess\n",
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"\n",
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"# Install latest version of tensorflow_cloud\n",
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"if os.environ.get(\"TF_KERAS_RUNNING_REMOTELY\", True):\n",
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" subprocess.run(\n",
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" ['python3', '-m', 'pip', 'install', 'tensorflow-cloud', '-q'])\n",
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"! pip install -q tensorflow-cloud\n",
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"\n",
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"import tensorflow_cloud as tfc\n",
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"print(tfc.__version__)"
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"tfc.__version__"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "DjY-m05B4PMC"
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},
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"outputs": [],
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"source": [
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"import sys"
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]
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},
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{
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"# If you are using a custom image you can install modules via requirements\n",
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"# txt file.\n",
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"with open('requirements.txt','w') as f:\n",
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" f.write('tensorflow-cloud==0.1.12\\n')\n",
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" f.write('tensorflow-cloud\\n')\n",
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"\n",
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"# Optional: Some recommended base images. If you provide none the system\n",
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"# will choose one for you.\n",
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],
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"metadata": {
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"colab": {
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"collapsed_sections": [],
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"collapsed_sections": [
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"cIG5d4Kvls6m"
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],
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"name": "distributed_training_nasnet_with_tensorflow_cloud.ipynb",
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"toc_visible": true
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},

‎g3doc/tutorials/google_cloud_project_setup_instructions.ipynb‎

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"# limitations under the License."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "4FIdRGBH_gMj",
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"outputId": "1c976348-a4d1-48da-9f65-6b7a471aa15b"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3.6.13\n"
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]
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}
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],
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"source": [
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"import platform\n",
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"print(platform.python_version())"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"id": "WPew3GoCcdtm"
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" \n"
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]
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}
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],
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"source": [
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"GCP_PROJECT_ID = 'YOUR_PROJECT_ID'\n",
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"PROJECT_NUMBER = 'YOUR_PROJECT_NUMBER'"
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],
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"metadata": {
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"colab": {
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"collapsed_sections": [
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"3t3TAdQCmX9o"
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],
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"collapsed_sections": [],
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"name": "google_cloud_project_setup_instructions.ipynb",
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"provenance": [],
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"toc_visible": true
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},
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"kernelspec": {

‎g3doc/tutorials/hp_tuning_cifar10_using_google_cloud.ipynb‎

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"# limitations under the License."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "4FIdRGBH_gMj",
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"outputId": "d8b84ada-47f7-4436-efe5-6a672f923c04"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3.6.13\n"
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]
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}
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],
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"source": [
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"import platform\n",
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"print(platform.python_version())"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"from tensorflow.keras import datasets, layers, models\n",
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"from sklearn.model_selection import train_test_split\n",
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"\n",
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"# Install latest version of tensorflow_cloud\n",
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"if os.environ.get(\"TF_KERAS_RUNNING_REMOTELY\", True):\n",
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" subprocess.run(\n",
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" ['python3', '-m', 'pip', 'install', 'tensorflow-cloud', '-q'])\n",
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"\n",
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"import tensorflow_cloud as tfc\n",
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"print(tfc.__version__)"
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"! pip install -q tensorflow-cloud\n",
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"import tensorflow_cloud as tfc"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "BnUf9-AA_pZ_"
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},
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"outputs": [
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{
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"data": {
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"application/vnd.google.colaboratory.intrinsic+json": {
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"type": "string"
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},
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"text/plain": [
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"'2.6.0'"
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]
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},
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"execution_count": 1,
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"metadata": {
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"tags": []
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},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tf.version.VERSION"
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]
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},
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{
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"2ej8rnJkmoA8"
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],
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"name": "hp_tuning_cifar10_using_google_cloud.ipynb",
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"provenance": [],
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"toc_visible": true
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},
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"kernelspec": {

‎g3doc/tutorials/hp_tuning_wide_and_deep_model.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {
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"cellView": "form",
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"id": "d60Uw7pfm88w"
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"# limitations under the License."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"id": "4FIdRGBH_gMj"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3.6.13\n"
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]
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}
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],
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"source": [
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"import platform\n",
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"print(platform.python_version())"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"print(tfc.__version__)"
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "jsvQ6ZjzArYS"
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},
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"outputs": [
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{
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"data": {
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"application/vnd.google.colaboratory.intrinsic+json": {
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"type": "string"
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},
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"text/plain": [
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"'2.6.0'"
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]
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},
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"execution_count": 2,
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"metadata": {
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"tags": []
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},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tf.version.VERSION"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {

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