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# Copyright 2026 FlagOS Contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# MetaX C550 Hardware Configuration
# This file defines CI/CD settings for MetaX C550 GPU (MACA) testing
# Test configurations are defined in tests/test_utils/config/platforms/metax.yaml
hardware_name: metax
display_name: "MetaX C550 Tests"
# Docker images for MetaX C550 (MACA-based)
ci_image: harbor.baai.ac.cn/flagscale/megatron-lm-with-te:202603231839
ci_train_image: harbor.baai.ac.cn/flagscale/megatron-lm-with-te:202603231839
ci_inference_image: harbor.baai.ac.cn/flagscale/megatron-lm-with-te:202603231839
# Runner labels for MetaX C550 hardware
runner_labels: ["flagscale-metax-c550-gpu2-8c-256g"]
# Container volumes (hardware-specific paths)
container_volumes:
- /mnt/airs-business/cicd/baai_datasets:/home/gitlab-runner/data
- /mnt/airs-business/cicd/baai_tokenizers:/home/gitlab-runner/tokenizers
# Container options for MetaX C550 (MACA runtime)
container_options: >-
--hostname=flagscale-ci
--ipc=host
--group-add video
--shm-size=100g
--ulimit memlock=-1
--security-opt seccomp=unconfined
--security-opt apparmor=unconfined
--device=/dev/dri
--device=/dev/mxcd
--device=/dev/infiniband
--user root
--ulimit nofile=65535:65535
--cap-add SYS_ADMIN
--cap-add SYS_PTRACE
--cap-add IPC_LOCK
--cap-add NET_ADMIN
--security-opt seccomp=unconfined
# =============================================================================
# Package Manager Configuration
# =============================================================================
pkg_mgr: "conda"
# Environment path (conda installation path)
env_path: "/opt/conda"
# Conda environment names
env_names:
train: "base"
hetero_train: ""
inference: ""
rl: ""