{ "schema": "szl.kernel-bench.laptop-blackwell/v1", "hub": "SZLHOLDINGS/szl-lambda-gate", "kind": "SOFTWARE_KERNEL", "github_source": "szl-holdings/szl-lambda-gate", "github_sha": "3fb5bb65dfdba006ae917e10b7703a535ea303e0", "local_path": "C:\\Users\\steph\\work-pr\\kernels\\szl-lambda-gate", "computed_at": "2026-08-29T15:53:47Z", "host": { "os": "Windows-10-10.0.26200-SP0", "python": "3.11.9", "machine": "AMD64", "node": "betterwithage", "label": "laptop-blackwell", "torch": "2.10.0+cu128", "cuda_available": true, "gpu": "NVIDIA GeForce RTX 5050 Laptop GPU", "gpu_count": 1, "cuda_capability": "12.0", "arch": "Blackwell", "kernels": "0.16.1" }, "weights": false, "tests": { "command": "PYTHONPATH=torch-ext python -m pytest tests -q --tb=line", "szl_source_tree_tests": "1", "exit": 1, "timeout": false, "label": "FAIL", "summary": "4 failed, 54 passed, 14 warnings in 52.57s", "counts": { "passed": 54, "failed": 4, "warnings": 14 }, "failed": [ { "status": "FAILED", "node": "tests/test_lambda.py::test_torch_compile_friendly" }, { "status": "FAILED", "node": "tests/test_lambda.py::test_fullgraph_lambda_aggregate" }, { "status": "FAILED", "node": "tests/test_lambda.py::test_fullgraph_lambda_gate_score" }, { "status": "FAILED", "node": "tests/test_lambda.py::test_fullgraph_lambda_gate_batch_score" } ], "fullgraph_or_compile_lines": [ "C:\\Users\\steph\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\_inductor\\cpp_builder.py:142: torch._inductor.exc.InductorError: RuntimeError: Compiler: cl is not found.", "E torch._inductor.exc.InductorError: RuntimeError: Compiler: cl is not found.", "C:\\Users\\steph\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\_inductor\\cpp_builder.py:142: torch._inductor.exc.InductorError: RuntimeError: Compiler: cl is not found.", "FAILED tests/test_lambda.py::test_torch_compile_friendly - torch._inductor.ex...", "FAILED tests/test_lambda.py::test_fullgraph_lambda_aggregate - torch._inducto...", "FAILED tests/test_lambda.py::test_fullgraph_lambda_gate_score - torch._induct...", "FAILED tests/test_lambda.py::test_fullgraph_lambda_gate_batch_score - torch._..." ], "stdout_tail": "utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:compile_fx.py:2288 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:compile_fx.py:1246 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:compile_fx.py:1297 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:compile_fx.py:1335 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:convert_frame.py:1783 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:2029 \nDEBUG torch.__trace:utils.py:1724 \nDEBUG torch.__trace:utils.py:2029\nC:\\Users\\steph\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\_inductor\\cpp_builder.py:142: torch._inductor.exc.InductorError: RuntimeError: Compiler: cl is not found.\n============================== warnings summary ===============================\ntests/test_lambda.py: 14 warnings\n C:\\Users\\steph\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\torch\\jit\\_script.py:362: DeprecationWarning: `torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.\n warnings.warn(\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ===========================\nFAILED tests/test_lambda.py::test_torch_compile_friendly - torch._inductor.ex...\nFAILED tests/test_lambda.py::test_fullgraph_lambda_aggregate - torch._inducto...\nFAILED tests/test_lambda.py::test_fullgraph_lambda_gate_score - torch._induct...\nFAILED tests/test_lambda.py::test_fullgraph_lambda_gate_batch_score - torch._...\n4 failed, 54 passed, 14 warnings in 52.57s\n", "stderr_tail": "", "error": null }, "eval": null, "get_kernel": { "hub": "SZLHOLDINGS/szl-lambda-gate", "package": "0.16.1", "load_path": "from kernels import get_kernel\nk = get_kernel(\"SZLHOLDINGS/szl-lambda-gate\", revision=\"main\", trust_remote_code=True)", "trust_remote_code_true": { "trust_remote_code": true, "backend": null, "ok": true, "module": "_szl_lambda_gate_universal_cto1", "file": "C:\\Users\\steph\\.cache\\huggingface\\hub\\kernels--SZLHOLDINGS--szl-lambda-gate\\snapshots\\082de2ad7d48c21fb09fbeee033f617d9e6957a7\\build\\torch-universal\\szl_lambda_gate\\__init__.py", "selfcheck": { "version": "0.2.0", "axioms": { "A1_IsMonotone": true, "A2_IsHomogeneous": true, "A3_IsEgyptianExact": true, "A4_IsBounded": true }, "all_axioms_hold": true, "adversarial": { "trials": 64, "violation": null }, "advisory": true, "lambda_status": "Conjecture 1 (open) — uniqueness unproven; advisory only" } }, "trust_remote_code_true_backend_cpu": { "trust_remote_code": true, "backend": "cpu", "ok": true, "module": "_szl_lambda_gate_cpu_9cf02fddf8", "file": "C:\\Users\\steph\\.cache\\huggingface\\hub\\kernels--SZLHOLDINGS--szl-lambda-gate\\snapshots\\082de2ad7d48c21fb09fbeee033f617d9e6957a7\\build\\torch-cpu\\szl_lambda_gate\\__init__.py", "selfcheck": { "version": "0.2.0", "axioms": { "A1_IsMonotone": true, "A2_IsHomogeneous": true, "A3_IsEgyptianExact": true, "A4_IsBounded": true }, "all_axioms_hold": true, "adversarial": { "trials": 64, "violation": null }, "advisory": true, "lambda_status": "Conjecture 1 (open) — uniqueness unproven; advisory only" } }, "trust_remote_code_false": { "trust_remote_code": false, "backend": null, "ok": false, "error_type": "ValueError", "error": "Kernel repository 'SZLHOLDINGS/szl-lambda-gate' is not from a trusted publisher. Set trust_remote_code=True to allow loading kernels from untrusted sources." }, "ok": true, "default_ok": true }, "hub_presence": { "hub": "SZLHOLDINGS/szl-lambda-gate", "model": true, "kernel": true, "model_sha": "e28ad22c20cd8e75980d089e9ea7f27c7953467d", "model_library": "kernels", "model_pipeline": null, "model_has_bench": false, "model_weights": [], "kernel_sha": "47c7eb2db8859507d4115adbbff20c65de66dbb5", "kernel_files_sample": [], "kernel_has_bench": false }, "formula_tax": { "kind": "SOFTWARE", "registry_count": 21, "locked_8": [ "F1", "F4", "F7", "F11", "F12", "F18", "F19", "F22" ], "lambda_aggregate": 0.316227766016838, "lambda_label": "ADVISORY", "lambda_uniqueness": "CONJECTURE_1", "khipu_merkle_sha256": "9041e7870a54f41a2aaac2c1c0a02df579e5d3094271b1fcd9d3ab25e1474b3a", "honesty": "Λ roll-up is advisory geomean over binary checks. Uniqueness is Conjecture 1, never a theorem. locked-8 = F1 F4 F7 F11 F12 F18 F19 F22." }, "invariants_i1_i8": [ "I1 receipt-chain-continuity", "I2 ledger-failure-shape", "I3 served-run-has-model", "I4 signed-columns-atomic", "I5 loop-steps-positive", "I6 receipt-ed25519-verify", "I7 receipt-columns-consistent", "I8 flywheel-lineage" ], "load_path": "from kernels import get_kernel\nk = get_kernel(\"SZLHOLDINGS/szl-lambda-gate\", revision=\"main\", trust_remote_code=True)", "honesty": [ "Unsloth / LoRA training is the wrong tool for these kernels.", "Λ uniqueness is Conjecture 1, never a theorem.", "locked-8 formulas: F1 F4 F7 F11 F12 F18 F19 F22.", "Do not pickle/joblib.load Hub kernels. GitHub/torch-ext source is the approved path.", "torch.compile fullgraph failures on Windows Blackwell are MEASURED, not hidden.", "Receipted kernels, not silent CUDA. No tokens/s or joules claimed here.", "Do not convert a model-type card into a kernel-type repo by deleting nonexistent weights." ], "cut": "Kernel Hub card is source, not a LoRA. Training it with Unsloth is the wrong tool. One-of-one: receipted kernels, not silent CUDA.", "computed_at_get_kernel": "2026-08-29T16:00:26Z", "torch_universal_put": { "ok": true, "commit": "082de2ad7d48c21fb09fbeee033f617d9e6957a7" } }