Remove Modal CUDA clippy job, now handled by T4 runner

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.github/workflows/test-cuda.yml

@@ -9,31 +9,6 @@ on:
     workflow_dispatch:
 
 jobs:
-    cuda_clippy:
-        if: >-
-            github.event_name == 'push'
-            || github.event_name == 'workflow_dispatch'
-            || (github.event_name == 'pull_request'
-                && contains(github.event.pull_request.labels.*.name, 'modal-ready'))
-        name: Cuda Clippy
-        runs-on: ubuntu-latest
-        environment: Modal
-        timeout-minutes: 30
-
-        steps:
-            - uses: actions/checkout@v6
-            - name: Set up Python
-              uses: actions/setup-python@v5
-              with:
-                  python-version: "3.11"
-            - name: Install Modal
-              run: pip install modal
-            - name: Run CUDA clippy on Modal
-              env:
-                  MODAL_TOKEN_ID: ${{ secrets.MODAL_TOKEN_ID }}
-                  MODAL_TOKEN_SECRET: ${{ secrets.MODAL_TOKEN_SECRET }}
-              run: modal run ci/modal_cargo_clippy.py
-
     cuda_unit_test:
         if: >-
             github.event_name == 'push'

ci/modal_cargo_clippy.py

@@ -1,66 +0,0 @@
-import modal
-import subprocess
-import os
-
-gpu_type = os.environ.get("GPU_TYPE", "T4")
-CUDARC_CUDA_VERSION = "12080"
-
-app = modal.App("luminal-ci-cargo-clippy")
-
-WORKDIR = "/workspace/luminal"
-
-cuda_image = (
-    modal.Image.from_registry("nvcr.io/nvidia/pytorch:25.03-py3")
-    .apt_install("protobuf-compiler")
-    .run_commands(
-        "curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y",
-        "pip install pre-commit",
-    )
-    .env(
-        {
-            "PATH": "/root/.cargo/bin:$PATH",
-            "CUDARC_CUDA_VERSION": CUDARC_CUDA_VERSION,
-        }
-    )
-    .add_local_dir(".", remote_path=WORKDIR, copy=True)
-)
-
-
-@app.function(
-    image=cuda_image,
-    gpu=gpu_type,
-    timeout=1800,  # 30 minutes
-)
-def run_cargo_clippy():
-    """Run cargo clippy for CUDA crates on a Modal GPU."""
-    subprocess.run(["nvidia-smi"], check=True)
-
-    # Detect GPU compute capability
-    result = subprocess.run(
-        ["nvidia-smi", "--query-gpu=compute_cap", "--format=csv,noheader"],
-        capture_output=True,
-        text=True,
-        check=True,
-    )
-    compute_cap = result.stdout.strip().replace(".", "")
-
-    subprocess.run(
-        [
-            "pre-commit", "run",
-            "--hook-stage", "manual",
-            "cargo-clippy-cuda-lite",
-            "--all-files",
-        ],
-        cwd=WORKDIR,
-        env={
-            **os.environ,
-            "CUDARC_CUDA_VERSION": CUDARC_CUDA_VERSION,
-            "CUDA_COMPUTE_CAP": compute_cap,
-        },
-        check=True,
-    )
-
-
-@app.local_entrypoint()
-def main():
-    run_cargo_clippy.remote()