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jax-toolbox's Introduction

JAX Toolbox

Image Build Tests

container-badge-base

build-badge-base n/a
Frameworks
container-badge-jax build-badge-jax test-badge-jax-V100
test-badge-jax-A100
container-badge-te Included in JAX build unit-test-badge-te
integration-test-badge-te
container-badge-rosetta-t5x build-badge-rosetta-t5x
test-badge-t5x
test-badge-rosetta-t5x
container-badge-rosetta-pax build-badge-rosetta-pax
test-badge-pax
test-badge-rosetta-pax
container-badge-pallas build-badge-pallas test-badge-pallas-V100
test-badge-pallas-A100

Note

This repo currently hosts a public CI for JAX on NVIDIA GPUs and covers some JAX libraries like: T5x, PAXML, Transformer Engine, Pallas and others to come soon.

Supported Models

We currently enable training and evaluation for the following models:

Model Name Pretraining Fine-tuning Evaluation
GPT-3(paxml) ✔️ ✔️
t5(t5x) ✔️ ✔️ ✔️
ViT ✔️ ✔️ ✔️
Imagen ✔️ ✔️

We will update this table as new models become available, so stay tuned.

Environment Variables

The JAX image is embedded with the following flags and environment variables for performance tuning:

XLA Flags Value Explanation
--xla_gpu_enable_latency_hiding_scheduler true allows XLA to move communication collectives to increase overlap with compute kernels
--xla_gpu_enable_async_all_gather true allows XLA to run NCCL AllGather kernels on a separate CUDA stream to allow overlap with compute kernels
--xla_gpu_enable_async_reduce_scatter true allows XLA to run NCCL ReduceScatter kernels on a separate CUDA stream to allow overlap with compute kernels
--xla_gpu_enable_triton_gemm false use cuBLAS instead of Trition GeMM kernels
Environment Variable Value Explanation
CUDA_DEVICE_MAX_CONNECTIONS 1 use a single queue for GPU work to lower latency of stream operations; OK since XLA already orders launches
NCCL_IB_SL 1 defines the InfiniBand Service Level (1)
NCCL_NVLS_ENABLE 0 Disables NVLink SHARP (1). Future releases will re-enable this feature.
CUDA_MODULE_LOADING EAGER Disables lazy-loading (1) which uses slightly more GPU memory.

FAQ (Frequently Asked Questions)

`bus error` when running JAX in a docker container

Solution:

docker run -it --shm-size=1g ...

Explanation: The bus error might occur due to the size limitation of /dev/shm. You can address this by increasing the shared memory size using the --shm-size option when launching your container.

enroot/pyxis reports error code 404 when importing multi-arch images

Problem description:

slurmstepd: error: pyxis:     [INFO] Authentication succeeded
slurmstepd: error: pyxis:     [INFO] Fetching image manifest list
slurmstepd: error: pyxis:     [INFO] Fetching image manifest
slurmstepd: error: pyxis:     [ERROR] URL https://ghcr.io/v2/nvidia/jax/manifests/<TAG> returned error code: 404 Not Found

Solution: Upgrade enroot or apply a single-file patch as mentioned in the enroot v3.4.0 release note.

Explanation: Docker has traditionally used Docker Schema V2.2 for multi-arch manifest lists but has switched to using the Open Container Initiative (OCI) format since 20.10. Enroot added support for OCI format in version 3.4.0.

JAX on Public Clouds

Resources

jax-toolbox's People

Contributors

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