chore: import upstream snapshot with attribution

.github/workflows/nv-inference.yml

@@ -0,0 +1,66 @@
+name: nv-inference
+
+on:
+  workflow_dispatch:
+  pull_request:
+    paths:
+      - '.github/workflows/nv-inference.yml'
+      - 'requirements/**'
+      - 'deepspeed/__init__.py'
+      - 'deepspeed/inference/**'
+      - '!deepspeed/inference/v2/**' # exclude v2 dir
+      - 'tests/unit/inference/**'
+      - '!tests/unit/inference/v2/**' # exclude v2 tests dir
+  merge_group:
+    branches: [ master ]
+  schedule:
+    - cron: "0 0 * * *"
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  unit-tests:
+    name: nv-inference / inference tests
+    runs-on: [self-hosted, nvidia, cu124, v100]
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - id: setup-venv
+        uses: ./.github/workflows/setup-venv
+
+      - name: Install pytorch
+        run: |
+          pip install -U --cache-dir $TORCH_CACHE torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu124
+          python -c "import torch; print('torch:', torch.__version__, torch)"
+          python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
+
+      - name: Install transformers
+        run: |
+          git clone https://github.com/huggingface/transformers
+          cd transformers
+          #git checkout f370bebdc
+          git rev-parse --short HEAD
+          pip install .
+
+      - name: Install deepspeed
+        run: |
+          DS_ACCELERATOR=cpu pip install .[dev,1bit,autotuning,inf]
+          #pip install .[dev,1bit,autotuning,inf,triton]
+          ds_report
+
+      - name: Python environment
+        run: |
+          pip list
+
+      - name: Unit tests
+        run: |
+          unset TORCH_CUDA_ARCH_LIST # only jit compile for current arch
+          cd tests
+          #pytest $PYTEST_OPTS -m 'seq_inference' unit/ --torch_ver="2.1" --cuda_ver="12.4"
+          pytest $PYTEST_OPTS -m 'inference_ops' unit/ --torch_ver="2.1" --cuda_ver="12.4"
+          pytest $PYTEST_OPTS --forked -n 4 -m 'inference' unit/ --torch_ver="2.1" --cuda_ver="12.4"
+          # run ds_report again to check updated op list
+          ds_report