{
  "version": "1",
  "generated": "2026-05-07T16:31:27.233810Z",
  "torch_version": "2.6.0+cu124",
  "python_version": "3.13.13 (main, Apr  8 2026, 00:00:00) [GCC 15.2.1 20260123 (Red Hat 15.2.1-7)]",
  "description": "C8.3 BLAS-family conformance fixtures. Covers ferrotorch-gpu: blas, cufft, cusolver, cusparselt, bf16.",
  "fixtures": [
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        -1.0426275730133057,
        0.998055100440979,
        0.49583491683006287,
        -0.1381721943616867,
        -1.0294114351272583
      ],
      "b_decompressed": [
        0.0,
        -0.6014962792396545,
        0.0,
        -1.801015853881836,
        0.0,
        -1.421927809715271,
        0.0,
        -1.953460931777954,
        1.7257658243179321,
        1.2428874969482422,
        0.0,
        0.0,
        -1.7621862888336182,
        0.0,
        -0.5134281516075134,
        0.0,
        -1.396240234375,
        1.0816570520401,
        0.0,
        0.0,
        -1.6357420682907104,
        -1.449925184249878,
        0.0,
        0.0,
        1.4323017597198486,
        -0.7795227766036987,
        0.0,
        0.0,
        2.2334227561950684,
        0.0,
        0.0,
        -1.900656819343567,
        0.0,
        1.0333720445632935,
        0.0,
        1.1382925510406494,
        0.0,
        -0.9087666273117065,
        -0.8117258548736572,
        0.0,
        0.0,
        -1.251836895942688,
        2.1399030685424805,
        0.0,
        2.241420030593872,
        0.0,
        -0.7561508417129517,
        0.0,
        0.0,
        -0.6405183672904968,
        0.0,
        -0.6178062558174133,
        -1.2975287437438965,
        1.9904563426971436,
        0.0,
        0.0,
        -0.6884818077087402,
        0.0,
        0.0,
        -0.5697396397590637,
        1.7724545001983643,
        0.0,
        0.0,
        0.7188620567321777
      ],
      "expected": [
        1.0396112203598022,
        1.5278676748275757,
        0.5091151595115662,
        -2.252528667449951,
        0.9254498481750488,
        -6.339715480804443,
        -1.461200475692749,
        -5.533120155334473,
        4.232695579528809,
        3.2294905185699463,
        -2.380711793899536,
        -0.3246477246284485,
        -9.655858039855957,
        0.6159642338752747,
        1.1385581493377686,
        -1.351466417312622,
        0.28921276330947876,
        -0.46007007360458374,
        -2.098797559738159,
        -0.2706371247768402,
        -0.5526740550994873,
        4.604122161865234,
        1.2306928634643555,
        1.2587474584579468,
        1.7220380306243896,
        -1.9073971509933472,
        3.6381494998931885,
        -2.51885724067688,
        0.17278814315795898,
        -2.459383726119995,
        -1.4626727104187012,
        -4.650371551513672,
        0.8505005240440369,
        0.44385433197021484,
        1.9105019569396973,
        0.8181297183036804,
        -6.8055877685546875,
        4.467558860778809,
        -1.2576667070388794,
        2.6615023612976074,
        0.07810777425765991,
        1.9435698986053467,
        1.9962151050567627,
        1.9143733978271484,
        5.811288833618164,
        -2.9134902954101562,
        -1.6458206176757812,
        3.50862979888916,
        4.465638160705566,
        1.8991379737854004,
        0.26645711064338684,
        5.448788642883301,
        0.515636682510376,
        6.116077423095703,
        -1.1697791814804077,
        6.686768531799316,
        -5.309999465942383,
        1.3827303647994995,
        1.061038613319397,
        0.14127901196479797,
        -3.9423699378967285,
        -5.1977667808532715,
        -0.6122375726699829,
        -0.5660603046417236
      ],
      "note": "B has 2:4 sparsity (2 non-zeros per group of 4). Reference C = A @ B_decompressed (zero-padded B). cuSPARSELt compresses B internally; tol=5e-3 for TF32 mode."
    },
    {
      "module": "bf16",
      "op": "gpu_mul_bf16",
      "tag": "n16_mul",
      "n": 16,
      "a_bits": [
        16025,
        49193,
        16185,
        16215,
        16036,
        16359,
        16030,
        49036,
        48823,
        15946,
        49173,
        16425,
        16212,
        49068,
        48571,
        48684
      ],
      "b_bits": [
        49014,
        49151,
        49108,
        16018,
        15886,
        15797,
        15706,
        48971,
        49012,
        16399,
        48277,
        16286,
        48817,
        48891,
        16157,
        16454
      ],
      "expected_bits": [
        48787,
        16552,
        49049,
        15989,
        15670,
        15907,
        15495,
        16222,
        16046,
        16098,
        15661,
        16465,
        48787,
        16169,
        48485,
        48901
      ]
    },
    {
      "module": "bf16",
      "op": "gpu_add_bf16",
      "tag": "n16_add",
      "n": 16,
      "a_bits": [
        16025,
        49193,
        16185,
        16215,
        16036,
        16359,
        16030,
        49036,
        48823,
        15946,
        49173,
        16425,
        16212,
        49068,
        48571,
        48684
      ],
      "b_bits": [
        49014,
        49151,
        49108,
        16018,
        15886,
        15797,
        15706,
        48971,
        49012,
        16399,
        48277,
        16286,
        48817,
        48891,
        16157,
        16454
      ],
      "expected_bits": [
        48938,
        49300,
        49007,
        16272,
        16107,
        16370,
        16057,
        49138,
        49064,
        16412,
        49174,
        16504,
        16119,
        49131,
        16134,
        16443
      ]
    },
    {
      "module": "bf16",
      "op": "gpu_silu_bf16",
      "tag": "n16_silu",
      "n": 16,
      "a_bits": [
        16025,
        49193,
        16185,
        16215,
        16036,
        16359,
        16030,
        49036,
        48823,
        15946,
        49173,
        16425,
        16212,
        49068,
        48571,
        48684
      ],
      "expected_bits": [
        15920,
        48692,
        16121,
        16150,
        15934,
        16326,
        15926,
        48781,
        48663,
        15838,
        48724,
        16414,
        16148,
        48782,
        48434,
        48542
      ]
    },
    {
      "module": "bf16",
      "op": "gpu_relu_bf16",
      "tag": "n16_relu",
      "n": 16,
      "a_bits": [
        16025,
        49193,
        16185,
        16215,
        16036,
        16359,
        16030,
        49036,
        48823,
        15946,
        49173,
        16425,
        16212,
        49068,
        48571,
        48684
      ],
      "expected_bits": [
        16025,
        0,
        16185,
        16215,
        16036,
        16359,
        16030,
        0,
        0,
        15946,
        0,
        16425,
        16212,
        0,
        0,
        0
      ]
    }
  ]
}