simulation/modules/IsaacLab/.github/workflows/test-fabric-multi-gpu.yaml

# Copyright (c) 2022-2026, The Isaac Lab Project Developers (https://github.com/isaac-sim/IsaacLab/blob/main/CONTRIBUTORS.md).
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause

# FabricFrameView multi-GPU unit tests
#
# Runs the cuda:1-parameterized unit tests in
# source/isaaclab_physx/test/sim/test_views_xform_prim_fabric.py on the
# dedicated multi-GPU runner.  Kept separate from test-multi-gpu.yaml so
# changes to FabricFrameView do not gate distributed-training validation and
# vice versa.  Runner preconditions (label, install step, GPU pre-flight) are
# identical to the training workflow.

name: FabricFrameView Multi-GPU Tests

# DISABLED: No self-hosted runner with the 'multi-gpu' label is currently
# registered.  All runs queue indefinitely.  Re-enable once infra provisions
# a multi-GPU runner (see also .github/workflows/test-multi-gpu.yaml which
# has the same issue).
#
# on:
#   pull_request:
#     paths:
#       - "source/isaaclab_physx/isaaclab_physx/sim/views/fabric_frame_view.py"
#       - "source/isaaclab_physx/test/sim/test_views_xform_prim_fabric.py"
#       - ".github/workflows/test-fabric-multi-gpu.yaml"
#   workflow_dispatch:
on:
  workflow_dispatch:

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  test-fabric-multi-gpu:
    name: FabricFrameView multi-GPU unit tests
    runs-on: [self-hosted, linux, x64, gpu, multi-gpu]
    timeout-minutes: 30
    steps:
      - name: Checkout repository
        uses: actions/checkout@v4

      - name: Install Isaac Lab
        run: ./isaaclab.sh --install

      - name: Verify multi-GPU availability
        # Fail loud if the runner regressed to a single GPU.  Without this, the
        # test helper's ``_skip_if_unavailable`` would skip every ``cuda:1`` case
        # and the job would go green with no real coverage.
        run: |
          echo "=== GPU Info ==="
          nvidia-smi --query-gpu=index,name,memory.total --format=csv

          GPU_COUNT=$(./isaaclab.sh -p -c "import torch; print(torch.cuda.device_count())")
          echo "Detected $GPU_COUNT GPU(s)"

          if [ "$GPU_COUNT" -lt 2 ]; then
            echo "::error::At least 2 GPUs required for Fabric multi-GPU tests, found $GPU_COUNT"
            exit 1
          fi

      - name: Run FabricFrameView multi-GPU unit tests
        env:
          ISAACLAB_TEST_MULTI_GPU: "1"
        run: |
          ./isaaclab.sh -p -m pytest \
            source/isaaclab_physx/test/sim/test_views_xform_prim_fabric.py -v