# Validation Local source validation on NVIDIA GeForce RTX 5090: ```bash python fp4-fused-ops/tests/test_fp4_fused_ops.py \ --backend source \ --mode full \ --json-out internal-tests/fp4-fused-ops-source-full.json ``` Result: - The current full source gate passed. - Unsupported dimensions are rejected explicitly. - Residual in-place updates are checked against the FP16 math contract. - FP4/SFA outputs are dequantized and checked against the documented NVFP4 quantization envelope. - Linear NVFP4 pack/scale bytes use a bit-level reference. - NCDHW RMSNorm, RMSNorm-SiLU and causal-cache outputs are checked against PyTorch and raw native launchers; fullgraph compile parity is covered. - RTX 5090 SM120 full gate: `46/46` checks passed. - Jetson AGX Thor SM110 model-shape gate: `58/58` checks passed across PI0.5, GROOT, Cosmos Edge, and LingBot VLA rows. - The 2026-08-06 Thor rerun includes the additive E0M3 AdaRMS, gated-residual AdaRMS, and GELU-multiply producers plus the Cosmos Edge residual-RMS and ReLU-squared NVFP4 producers. E0M3 packed/SFA outputs were deterministic, residual updates and gates were exact, and all CUDA Graph checks passed. - BF16 AdaRMS and gated-residual AdaRMS twins are checked at rows `1/10/51/105`, `dim=1024`. Tests require exact BF16 residual/gate values, the documented NVFP4 dequantization envelope, and bit-identical CUDA Graph replay for the production rows=10 case. Representative correctness envelope from the full run: | Workload | Shape | Max abs | Mean abs | P99 abs | Cosine | | --- | ---: | ---: | ---: | ---: | ---: | | residual+rms+FP4 v2 vs math reference | rows=1, dim=1024 | 0.453125 | 0.069949 | 0.306641 | 0.995567 | | residual+rms+FP4 v2 vs math reference | rows=10, dim=2048 | 0.552734 | 0.071892 | 0.300781 | 0.995432 | | residual+rms+FP4 v2 vs math reference | rows=64, dim=2048 | 0.589844 | 0.071508 | 0.303993 | 0.995464 | | residual+rms+FP4 v2 vs math reference | rows=128, dim=4096 | 0.562500 | 0.071550 | 0.303711 | 0.995468 | | silu-mul FP4 v2 vs v1 dequant | rows=10, dim=2048 | 0.023438 | 0.000022 | 0.000000 | 0.999895 | | silu-mul FP4 v2 vs v1 dequant | rows=128, dim=4096 | 0.054688 | 0.000014 | 0.000000 | 0.999937 | Notes: - The residual/RMS rows compare a dequantized FP4 result to the FP16 math reference, so the nonzero error is expected NVFP4 quantization error. - `packed_equal=False` can appear for v2-vs-v1 checks when the dequantized values are equivalent within the FP4 envelope; public validation is based on dequantized values plus residual contract, not byte identity alone. ## HF Jobs Publish Status `flashrt/fp4-fused-ops` v1 was built and uploaded through the repository HF Jobs workflow. - Hub revision checked on June 20, 2026: `c77ac5a1` - Uploaded variants: - `torch211-cxx11-cu128-x86_64-linux` - `torch211-cxx11-cu130-x86_64-linux` - `torch212-cxx11-cu130-x86_64-linux` - `torch212-cxx11-cu132-x86_64-linux` The SM110 `torch211-cxx11-cu130-aarch64-linux` artifact and cold Hub load are required release gates before claiming published Thor support. ## Thor Native Parity The package compile flags match the native FlashRT target, including `--use_fast_math`. Without that flag, gated producers regress materially even though correctness passes. With the release flags, CUDA Graph wrapper/native latency over 30 production-model rows had median `1.001`, p95 `1.052`, and maximum `1.082` on Thor.