litCI: try switching A100 to L4 for oldest suites

.github/checkgroup.yml

@@ -47,7 +47,7 @@ subprojects:
       - "!*.md"
       - "!**/*.md"
     checks:
-      - "pytorch.yml / Lit Job (nvidia/cuda:12.1.1-runtime-ubuntu22.04, pytorch, 3.10, A100_X_2)"
+      - "pytorch.yml / Lit Job (nvidia/cuda:12.1.1-runtime-ubuntu22.04, pytorch, 3.10, L4_X_2)"
       - "pytorch.yml / Lit Job (nvidia/cuda:12.6.3-runtime-ubuntu22.04, lightning, 3.12, L4_X_2)"
       - "pytorch.yml / Lit Job (nvidia/cuda:12.6.3-runtime-ubuntu22.04, pytorch, 3.12, L4_X_2)"
 
@@ -148,7 +148,7 @@ subprojects:
       - "!*.md"
       - "!**/*.md"
     checks:
-      - "fabric.yml / Lit Job (nvidia/cuda:12.1.1-runtime-ubuntu22.04, fabric, 3.10, A100_X_2)"
+      - "fabric.yml / Lit Job (nvidia/cuda:12.1.1-runtime-ubuntu22.04, fabric, 3.10, L4_X_2)"
       - "fabric.yml / Lit Job (nvidia/cuda:12.6.3-runtime-ubuntu22.04, fabric, 3.12, L4_X_2)"
       - "fabric.yml / Lit Job (nvidia/cuda:12.6.3-runtime-ubuntu22.04, lightning, 3.12, L4_X_2)"
 

.lightning/workflows/benchmark.yml

@@ -22,12 +22,13 @@ env:
   RUN_ONLY_CUDA_TESTS: "1"
 
 run: |
-  # Install Python and UV
-  apt-get update -qq --fix-missing
+  echo "Installing dependencies"
+  apt-get update -qq --fix-missing -o=Dpkg::Use-Pty=0 &> /dev/null
   apt-get install -q -y software-properties-common curl
-  # Add deadsnakes PPA for newer Python versions if needed
+  echo "Add deadsnakes PPA for newer Python versions if needed"
   add-apt-repository ppa:deadsnakes/ppa -y
-  apt-get update -qq --fix-missing
+  apt-get update -qq --fix-missing -o=Dpkg::Use-Pty=0 &> /dev/null
+  echo "Install Python ${python_version} and other dependencies"
   apt-get install -q -y --no-install-recommends --allow-downgrades --allow-change-held-packages \
         build-essential \
         pkg-config \
@@ -36,23 +37,25 @@ run: |
         libopenmpi-dev \
         openmpi-bin
 
+  echo "Install Python ${python_version} and UV"
   apt-get install -y python${python_version} python${python_version}-venv python${python_version}-dev
   ln -sf /usr/bin/python${python_version} /usr/bin/python
   curl -LsSf https://astral.sh/uv/install.sh | sh
 
-  # Source the environment and ensure UV is in PATH
+  echo "Source the environment and ensure UV is in PATH"
   [ -f "$HOME/.local/bin/env" ] && . "$HOME/.local/bin/env"
   export PATH="$HOME/.local/bin:$PATH"
   source $HOME/.cargo/env 2>/dev/null || true
   export PATH="$HOME/.cargo/bin:$PATH"
 
-  # Verify UV installation
+  echo "Verify UV installation"
   command -v uv || (echo "UV not found in PATH" && exit 1)
   # Create and activate a local uv virtual environment
   uv venv .venv -p "/usr/bin/python${python_version}" || uv venv .venv -p "python${python_version}" || uv venv .venv
   . .venv/bin/activate
   hash -r
 
+  echo "Show system information"
   whereis nvidia
   nvidia-smi
   python --version
@@ -68,26 +71,26 @@ run: |
   CUDA_VERSION_MM="${CUDA_VERSION_M_M//./}"  # "126"
   export UV_TORCH_BACKEND=cu${CUDA_VERSION_MM}
 
-  # Adjust tests
+  echo "Adjust tests"
   uv pip install -q -r .actions/requirements.txt
   python .actions/assistant.py copy_replace_imports --source_dir="./tests" \
     --source_import="lightning.fabric,lightning.pytorch" \
     --target_import="lightning_fabric,pytorch_lightning"
 
-  # Install package
+  echo "Install package"
   uv pip install ".[dev]"
 
   # Env details
   python requirements/collect_env_details.py
   python -c "import torch ; mgpu = torch.cuda.device_count() ; assert mgpu >= 2, f'GPU: {mgpu}'"
 
   cd tests/
-  # Testing: benchmarks
+  echo "Testing: benchmarks"
   export PL_RUNNING_BENCHMARKS=1
   python -m pytest parity_${PACKAGE_NAME} -v --durations=0
   export PL_RUNNING_BENCHMARKS=0
 
-  # Testing: fabric standalone tasks
+  echo "Testing: fabric standalone tasks"
   export PL_RUN_STANDALONE_TESTS=1
   if [ "${PACKAGE_NAME}" == "fabric" ]; then
     cd parity_fabric/

.lightning/workflows/fabric.yml

@@ -12,7 +12,7 @@ parametrize:
     - image: "nvidia/cuda:12.1.1-runtime-ubuntu22.04"
       PACKAGE_NAME: "fabric"
       python_version: "3.10"
-      machine: "A100_X_2"
+      machine: "L4_X_2"
     - image: "nvidia/cuda:12.6.3-runtime-ubuntu22.04"
       PACKAGE_NAME: "fabric"
       python_version: "3.12"
@@ -37,12 +37,13 @@ env:
   RUN_ONLY_CUDA_TESTS: "1"
 
 run: |
-  # Install Python and UV
-  apt-get update -qq --fix-missing
+  echo "Installing dependencies"
+  apt-get update -qq --fix-missing -o=Dpkg::Use-Pty=0 &> /dev/null
   apt-get install -q -y software-properties-common curl
-  # Add deadsnakes PPA for newer Python versions if needed
+  echo "Add deadsnakes PPA for newer Python versions if needed"
   add-apt-repository ppa:deadsnakes/ppa -y
-  apt-get update -qq --fix-missing
+  apt-get update -qq --fix-missing -o=Dpkg::Use-Pty=0 &> /dev/null
+  echo "Install Python ${python_version} and other dependencies"
   apt-get install -q -y --no-install-recommends --allow-downgrades --allow-change-held-packages \
         build-essential \
         pkg-config \
@@ -54,23 +55,25 @@ run: |
         libnccl2 \
         libnccl-dev
 
+  echo "Install Python ${python_version} and UV"
   apt-get install -y python${python_version} python${python_version}-venv python${python_version}-dev
   ln -sf /usr/bin/python${python_version} /usr/bin/python
   curl -LsSf https://astral.sh/uv/install.sh | sh
 
-  # Source the environment and ensure UV is in PATH
+  echo "Source the environment and ensure UV is in PATH"
   [ -f "$HOME/.local/bin/env" ] && . "$HOME/.local/bin/env"
   export PATH="$HOME/.local/bin:$PATH"
   source $HOME/.cargo/env 2>/dev/null || true
   export PATH="$HOME/.cargo/bin:$PATH"
 
-  # Verify UV installation
+  echo "Verify UV installation"
   command -v uv || (echo "UV not found in PATH" && exit 1)
   # Create and activate a local uv virtual environment
   uv venv .venv -p "/usr/bin/python${python_version}" || uv venv .venv -p "python${python_version}" || uv venv .venv
   . .venv/bin/activate
   hash -r
 
+  echo "Show system information"
   whereis nvidia
   nvidia-smi
   python --version
@@ -98,7 +101,7 @@ run: |
     uv pip install "cython<3.0" wheel  # for compatibility
   fi
 
-  # install the base so we can adjust other packages
+  echo "Install the base so we can adjust other packages"
   uv pip install .
   echo "Adjust torch versions in requirements files"
   PYTORCH_VERSION=$(python -c "import torch; print(torch.__version__.split('+')[0])")
@@ -119,6 +122,7 @@ run: |
       --target_import="lightning_fabric"
   fi
 
+  echo "Install package with [${PACKAGE_NAME}] extras"
   extra=$(python -c "print({'lightning': 'fabric-'}.get('$(PACKAGE_NAME)', ''))")
   uv pip install ".[${extra}dev]" --upgrade
 

.lightning/workflows/pytorch.yml

@@ -12,7 +12,7 @@ parametrize:
     - image: "nvidia/cuda:12.1.1-runtime-ubuntu22.04"
       PACKAGE_NAME: "pytorch"
       python_version: "3.10"
-      machine: "A100_X_2"
+      machine: "L4_X_2"
     - image: "nvidia/cuda:12.6.3-runtime-ubuntu22.04"
       PACKAGE_NAME: "pytorch"
       python_version: "3.12"
@@ -37,12 +37,13 @@ env:
   RUN_ONLY_CUDA_TESTS: "1"
 
 run: |
-  # Install Python and UV
-  apt-get update -qq --fix-missing
+  echo "Installing dependencies"
+  apt-get update -qq --fix-missing -o=Dpkg::Use-Pty=0 &> /dev/null
   apt-get install -q -y software-properties-common curl
-  # Add deadsnakes PPA for newer Python versions if needed
+  echo "Add deadsnakes PPA for newer Python versions if needed"
   add-apt-repository ppa:deadsnakes/ppa -y
-  apt-get update -qq --fix-missing
+  apt-get update -qq --fix-missing -o=Dpkg::Use-Pty=0 &> /dev/null
+  echo "Install Python ${python_version} and other dependencies"
   apt-get install -q -y --no-install-recommends --allow-downgrades --allow-change-held-packages \
         build-essential \
         pkg-config \
@@ -54,23 +55,25 @@ run: |
         libnccl2 \
         libnccl-dev
 
+  echo "Install Python ${python_version} and UV"
   apt-get install -y python${python_version} python${python_version}-venv python${python_version}-dev
   ln -sf /usr/bin/python${python_version} /usr/bin/python
   curl -LsSf https://astral.sh/uv/install.sh | sh
 
-  # Source the environment and ensure UV is in PATH
+  echo "Source the environment and ensure UV is in PATH"
   [ -f "$HOME/.local/bin/env" ] && . "$HOME/.local/bin/env"
   export PATH="$HOME/.local/bin:$PATH"
   source $HOME/.cargo/env 2>/dev/null || true
   export PATH="$HOME/.cargo/bin:$PATH"
 
-  # Verify UV installation
+  echo "Verify UV installation"
   command -v uv || (echo "UV not found in PATH" && exit 1)
   # Create and activate a local uv virtual environment
   uv venv .venv -p "/usr/bin/python${python_version}" || uv venv .venv -p "python${python_version}" || uv venv .venv
   . .venv/bin/activate
   hash -r
 
+  echo "Show system information"
   whereis nvidia
   nvidia-smi
   python --version
@@ -98,7 +101,7 @@ run: |
     uv pip install "cython<3.0" wheel  # for compatibility
   fi
 
-  # install the base so we can adjust other packages
+  echo "Install the base so we can adjust other packages"
   uv pip install .
   echo "Adjust torch versions in requirements files"
   PYTORCH_VERSION=$(python -c "import torch; print(torch.__version__.split('+')[0])")
@@ -119,9 +122,11 @@ run: |
       --target_import="lightning_fabric,pytorch_lightning"
   fi
 
+  echo "Install package"
   extra=$(python -c "print({'lightning': 'pytorch-'}.get('$(PACKAGE_NAME)', ''))")
   uv pip install -e ".[${extra}dev]" --upgrade
 
+  echo "Ensure only a single package is installed"
   if [ "${PACKAGE_NAME}" == "pytorch" ]; then
     echo "uninstall lightning to have just single package"
     uv pip uninstall lightning