This document focuses on steps required to setup XPK on TPU VM and assumes you have gone through the README to understand XPK basics.
-
Verify you have these permissions for your account or service account
Storage Admin
Kubernetes Engine Admin -
gcloud is installed on TPUVMs using the snap distribution package. Install kubectl using snap
sudo apt-get update
sudo apt install snapd
sudo snap install kubectl --classic
- Install
gke-gcloud-auth-plugin
echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list
curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
sudo apt update && sudo apt-get install google-cloud-sdk-gke-gcloud-auth-plugin
- Authenticate gcloud installation by running this command and following the prompt
gcloud auth login
- Run this command to configure docker to use docker-credential-gcloud for GCR registries:
gcloud auth configure-docker us-docker.pkg.dev
- Test the installation by running
docker run hello-world
- If getting a permission error, try running
sudo usermod -aG docker $USER
after which log out and log back in to the machine.
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Git clone maxtext locally
git clone https://github.com/google/maxtext.git cd maxtext
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Build local Maxtext docker image
This only needs to be rerun when you want to change your dependencies. This image may expire which would require you to rerun the below command
# Default will pick stable versions of dependencies bash docker_build_dependency_image.sh
We're excited to announce that you can build the Maxtext Docker image using the JAX Stable Stack base image. This provides a more reliable and consistent build environment.
JAX Stable Stack provides a consistent environment for Maxtext by bundling JAX with core packages like
orbax
,flax
, andoptax
, along with Google Cloud utilities and other essential tools. These libraries are tested to ensure compatibility, providing a stable foundation for building and running Maxtext and eliminating potential conflicts due to incompatible package versions.To build the Maxtext Docker image with JAX Stable Stack, simply set the MODE to
stable_stack
and specify the desiredBASEIMAGE
in thedocker_build_dependency_image.sh
script:# Example bash docker_build_dependency_image.sh MODE=stable_stack BASEIMAGE=us-docker.pkg.dev/cloud-tpu-images/jax-stable-stack/tpu:jax0.4.33-rev1 bash docker_build_dependency_image.sh MODE=stable_stack BASEIMAGE={{JAX_STABLE_STACK_BASEIMAGE}}
You can find a list of available JAX Stable Stack base images here.
Important Note: The JAX Stable Stack is currently in the experimental phase. We encourage you to try it out and provide feedback.
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After building the dependency image
maxtext_base_image
, xpk can handle updates to the working directory when runningxpk workload create
and using--base-docker-image
.See details on docker images in xpk here: https://github.com/google/xpk/blob/main/README.md#how-to-add-docker-images-to-a-xpk-workload
Using xpk to upload image to your gcp project and run Maxtext
gcloud config set project $PROJECT_ID gcloud config set compute/zone $ZONE # See instructions in README.me to create below buckets. BASE_OUTPUT_DIR=gs://output_bucket/ DATASET_PATH=gs://dataset_bucket/ # Install xpk pip install xpk # Make sure you are still in the maxtext github root directory when running this command xpk workload create \ --cluster ${CLUSTER_NAME} \ --base-docker-image maxtext_base_image \ --workload ${USER}-first-job \ --tpu-type=v5litepod-256 \ --num-slices=1 \ --command "python3 MaxText/train.py MaxText/configs/base.yml base_output_directory=${BASE_OUTPUT_DIR} dataset_path=${DATASET_PATH} steps=100 per_device_batch_size=1"
Using xpk github repo
git clone https://github.com/google/xpk.git # Make sure you are still in the maxtext github root directory when running this command python3 xpk/xpk.py workload create \ --cluster ${CLUSTER_NAME} \ --base-docker-image maxtext_base_image \ --workload ${USER}-first-job \ --tpu-type=v5litepod-256 \ --num-slices=1 \ --command "python3 MaxText/train.py MaxText/configs/base.yml base_output_directory=${BASE_OUTPUT_DIR} dataset_path=${DATASET_PATH} steps=100 per_device_batch_size=1"