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| }, |
| "cases": [ |
| { |
| "name": "rank2_bias_f32", |
| "provenance": { |
| "notes": "A plain (M, K) x (K, N) with bias, both dimensions past one 64-wide tile so the kernel's tile loop and its bounds checks both run." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [96, 80], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.18000000000000002, "cosStep": 0.32 } |
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| "dtype": "float32", |
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| "bias": { |
| "dtype": "float32", |
| "shape": [72], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.3, "cosStep": 0.14 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [96, 72], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "rank2_nobias_f32", |
| "provenance": { "notes": "A 96x80 by 80x72 multiplication without bias exercises the two-input binding layout." }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [96, 80], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.19, "cosStep": 0.33 } |
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| "dtype": "float32", |
| "shape": [80, 72], |
| "data": { "kind": "fillFloat32", "scale": 0.5, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [96, 72], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "rank3_batched_bias_f32", |
| "provenance": { |
| "notes": "A rank-3 X: every leading axis is another row, so a (2, 48, 64) input is a 96-row product rather than a batched matmul." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [2, 48, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.2, "cosStep": 0.33999999999999997 } |
| }, |
| "W": { |
| "dtype": "float32", |
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| "data": { "kind": "fillFloat32", "scale": 0.5, "sinStep": 0.14, "cosStep": 0.26 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [40], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.31999999999999995, "cosStep": 0.16 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [2, 48, 40], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "rank4_batched_nobias_f32", |
| "provenance": { |
| "notes": "Rank 4, no bias -- the leading-axis collapse must not depend on how many axes there are." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [2, 3, 16, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.21000000000000002, "cosStep": 0.35 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 24], |
| "data": { "kind": "fillFloat32", "scale": 0.5, "sinStep": 0.15, "cosStep": 0.27 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [2, 3, 16, 24], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "small_unaligned_bias_f32", |
| "provenance": { |
| "notes": "M, K and N all smaller than one tile and none a multiple of the 4x4 micro-tile, so every bounds check is exercised." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [7, 13], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.22000000000000003, "cosStep": 0.36 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [13, 11], |
| "data": { "kind": "fillFloat32", "scale": 0.5, "sinStep": 0.16, "cosStep": 0.28 } |
| }, |
| "bias": { |
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| "shape": [11], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.33999999999999997, "cosStep": 0.18 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [7, 11], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "single_row_bias_f32", |
| "provenance": { "notes": "One row: the GEMV shape, where the M tile is almost entirely padding." }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.23, "cosStep": 0.37 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 48], |
| "data": { |
| "kind": "fillFloat32", |
| "scale": 0.5, |
| "sinStep": 0.16999999999999998, |
| "cosStep": 0.29000000000000004 |
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| "bias": { |
| "dtype": "float32", |
| "shape": [48], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.35, "cosStep": 0.19 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 48], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "f16_rank3_bias", |
| "provenance": { |
| "notes": "float16 operands; the product accumulates in f32 and the activation runs before the single narrowing store." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [2, 32, 48], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.24000000000000002, "cosStep": 0.38 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [48, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.5, "sinStep": 0.18, "cosStep": 0.30000000000000004 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.36, "cosStep": 0.2 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [2, 32, 32], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "f16_rank2_nobias", |
| "provenance": { "notes": "float16 without a bias." }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [48, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.9, "sinStep": 0.25, "cosStep": 0.39 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 24], |
| "data": { "kind": "fillFloat32", "scale": 0.5, "sinStep": 0.19, "cosStep": 0.31 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [48, 24], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "pinned_rank2_bias", |
| "provenance": { |
| "notes": "Hand-computed from the schema's FastGelu definition -- 0.5x(1 + tanh(sqrt(2/pi)(x + 0.044715 x^3))) -- applied to a float64 product, independent of the port's tiling and of its shared gelu helper. The operands are large enough that FastGelu is well outside its near-linear region, so the pin is sensitive to the activation itself." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [5, 6], |
| "data": { |
| "kind": "values", |
| "values": [-0.568, 1.402, -1.744, 0.805, -0.684, -0.366, -1.898, -0.274, 0.008, -1.719, 0.344, 1.185, -0.865, 1.863, -0.792, 1.783, 0.703, -0.614, -1.244, 1.186, 1.21, -0.428, -0.236, 1.268, -1.492, -1.469, 0.673, 1.956, -1.883, -0.872] |
| } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [6, 4], |
| "data": { |
| "kind": "values", |
| "values": [-0.362, -1.699, 1.664, -0.171, 0.412, -0.373, -1.421, 1.657, 1.194, -0.13, -1.707, -0.827, -0.156, -1.618, 1.339, -0.16, -1.723, 1.951, 0.603, 1.677, 1.217, 0.273, 1.35, 0.713] |
| } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [4], |
| "data": { "kind": "values", "values": [-0.818, 0.02, 0.585, 0.387] } |
| } |
| }, |
| "outputs": { |
| "Y": { |
| "dtype": "float32", |
| "shape": [5, 4], |
| "data": { |
| "kind": "values", |
| "values": [-0.099208, -0.041387, 0.626313, 2.704125, 0.716692, 7.121855, -0.009083, 1.89771, -0.004677, -0.16984, -0.072533, 4.732758, 3.581808, 2.075684, -0.000021, 2.106721, 1.733585, -0.000052, -0.167767, -0.0] |
| }, |
| "tolerance": 0.00002, |
| "relTolerance": 0.0002 |
| } |
| } |
| }, |
| { |
| "name": "sgmat_aligned_bias_f32", |
| "provenance": { |
| "notes": "Aligned M, K, and N with bias and fused Gelu; multiple row and column blocks check the activation at interior and boundary outputs." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [128], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 128], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "sgmat_aligned_nobias_f32", |
| "provenance": { |
| "notes": "An aligned subgroup-matrix multiplication without bias exercises direct activation stores from the accumulator." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [96, 192], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [96, 192], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "sgmat_aligned_bias_f16", |
| "provenance": { |
| "notes": "M=32, K=64, N=128 float16 operands with bias check the fused GELU activation on a tile-aligned shape; the accumulator and GELU stay float32 internally before the result casts to float16." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [32, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [128], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [32, 128], "tolerance": 0.02, "relTolerance": 0.02 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m64_k32_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 32], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m64_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 96], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m128_k128_n128", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [128, 128], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m63_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [63, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [63, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m65_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [65, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [65, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m32_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [32, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [32, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m64_k33_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 33], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [33, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m64_k64_n65", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 65], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 65], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r2_m0_k64_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [0, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [0, 32], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_nobias_r4_m128_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [2, 2, 32, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [2, 2, 32, 96], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m64_k32_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 32], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m64_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 96], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m128_k128_n128", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [128], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [128, 128], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m63_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [63, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [63, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m65_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [65, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [65, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m32_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [32, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [32, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m64_k33_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 33], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [33, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m64_k64_n65", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 65], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [65], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 65], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r2_m0_k64_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [0, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [0, 32], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float32_bias_r3_m128_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [2, 64, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [2, 64, 96], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m64_k32_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 32], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m64_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 96], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m128_k128_n128", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [128, 128], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m63_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [63, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [63, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m65_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [65, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [65, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m32_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [32, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [32, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m64_k33_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 33], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [33, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m64_k64_n65", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 65], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 65], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r2_m0_k64_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [0, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [0, 32], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_nobias_r4_m128_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [2, 2, 32, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [2, 2, 32, 96], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m64_k32_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 32], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m64_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 96], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m128_k128_n128", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [128, 128], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [128], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [128, 128], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m63_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [63, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [63, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m65_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [65, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [65, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m32_k64_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [32, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [32, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m64_k33_n64", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 33], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [33, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 64], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m64_k64_n65", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 65], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [65], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 65], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r2_m0_k64_n32", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [0, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [0, 32], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_float16_bias_r3_m128_k96_n96", |
| "provenance": { |
| "notes": "Covers direct-matrix row/column alignment, staged or portable siblings, and dtype-specific fused activation behavior." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [2, 64, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.7, "sinStep": 0.13, "cosStep": 0.29 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.4, "sinStep": 0.21, "cosStep": 0.17 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.11, "cosStep": 0.37 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [2, 64, 96], "tolerance": 0.006, "relTolerance": 0.006 } } |
| }, |
| { |
| "name": "matrix_f32_cancellation_m64_k768_n32", |
| "provenance": { |
| "notes": "Preserves a cancellation-sensitive dot product from gemmfastgelu-bert-base-b8-s384-h768-i3072, output row 340, column 1204. A K+1 weight cycle maps it to column zero of a complete matrix tile. Four K streams and pairwise publication must meet the f32 tolerance." |
| }, |
| "inputs": { |
| "X": { |
| "shape": [64, 768], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k768_n32_input_X" } |
| } |
| }, |
| "W": { |
| "shape": [768, 32], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k768_n32_input_W" } |
| } |
| }, |
| "bias": { "shape": [32], "dtype": "float32", "data": { "kind": "constant", "value": -1.1483134031295776 } } |
| }, |
| "outputs": { "Y": { "shape": [64, 32], "dtype": "float32", "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_f32_cancellation_m64_k1024_n32", |
| "provenance": { |
| "notes": "Preserves a cancellation-sensitive dot product from gemmfastgelu-bert-large-b4-s512-h1024-i4096, output row 133, column 2544. A K+1 weight cycle maps it to column zero of a complete matrix tile. Four K streams and pairwise publication must meet the f32 tolerance." |
| }, |
| "inputs": { |
| "X": { |
| "shape": [64, 1024], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k1024_n32_input_X" } |
| } |
| }, |
| "W": { |
| "shape": [1024, 32], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k1024_n32_input_W" } |
| } |
| }, |
| "bias": { "shape": [32], "dtype": "float32", "data": { "kind": "constant", "value": 0.5819082856178284 } } |
| }, |
| "outputs": { "Y": { "shape": [64, 32], "dtype": "float32", "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m1_k1_n4", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 1], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [1, 4], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 4], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m1_k31_n48", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 31], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [31, 48], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 48], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m1_k129_n124", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 129], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [129, 124], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 124], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m1_k512_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 512], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [512, 132], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 132], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m1_k1024_n1024", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 1024], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [1024, 1024], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 1024], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m1_k33_n127", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 33], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [33, 127], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 127], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m64_k32_n1504", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 1504], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 1504], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m64_k32_n1536", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 1536], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 1536], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m64_k32_n1568", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 1568], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 1568], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m64_k32_n2528", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 2528], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 2528], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m64_k32_n2560", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [32, 2560], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 2560], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_plain_r2_m64_k32_n2592", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "dtype": "float32", |
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| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_plain_r2_m64_k32_n3072", |
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| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_plain_r2_m64_k32_n3104", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_plain_r2_m32_k96_n48", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_plain_r2_m96_k96_n16", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_plain_r2_m1_k129_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_plain_r2_m64_k64_n64", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 64], |
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| "name": "adaptive_float32_bias_r3_m1_k1_n4", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_bias_r3_m1_k31_n48", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "X": { |
| "dtype": "float32", |
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| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| "name": "adaptive_float32_bias_r3_m1_k129_n124", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_bias_r3_m1_k512_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_bias_r3_m1_k1024_n1024", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "W": { |
| "dtype": "float32", |
| "shape": [1024, 1024], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| "bias": { |
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| "shape": [1024], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| "outputs": { "Y": { "dtype": "float32", "shape": [1, 1, 1024], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
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| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
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| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "X": { |
| "dtype": "float32", |
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| "name": "adaptive_float32_bias_r3_m64_k32_n2528", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "X": { |
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| { |
| "name": "adaptive_float32_bias_r3_m64_k32_n2560", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "X": { |
| "dtype": "float32", |
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| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "X": { |
| "dtype": "float32", |
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| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
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| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "X": { |
| "dtype": "float32", |
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| "outputs": { "Y": { "dtype": "float32", "shape": [1, 64, 3104], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_bias_r2_m32_k96_n48", |
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| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [32, 96], |
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| "bias": { |
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| "shape": [48], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| "outputs": { "Y": { "dtype": "float32", "shape": [32, 48], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_bias_r2_m96_k96_n16", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "shape": [16], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [96, 16], "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "adaptive_float32_bias_r2_m1_k129_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 129], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float32", |
| "shape": [129, 132], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| "bias": { |
| "dtype": "float32", |
| "shape": [132], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 132], "tolerance": 0.00002, "relTolerance": 0.0002 } }, |
| "tunables": { "GEMV_TARGET_BLOCKS": 16 } |
| }, |
| { |
| "name": "adaptive_float32_bias_r2_m64_k64_n64", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "dtype": "float32", |
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| "bias": { |
| "dtype": "float32", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [64, 64], "tolerance": 0.00002, "relTolerance": 0.0002 } }, |
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| }, |
| { |
| "name": "adaptive_float16_plain_r2_m1_k1_n4", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 1], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [1, 4], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 4], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m1_k31_n48", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 31], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [31, 48], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 48], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m1_k129_n124", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 129], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [129, 124], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 124], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m1_k512_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 512], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [512, 132], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 132], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m1_k1024_n1024", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 1024], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [1024, 1024], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 1024], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m1_k33_n127", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 33], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [33, 127], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 127], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n1504", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 1504], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 1504], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n1536", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [32, 1536], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 1536], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n1568", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 1568], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 1568], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n2528", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "dtype": "float16", |
| "shape": [32, 2528], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 2528], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n2560", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [32, 2560], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 2560], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n2592", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [32, 2592], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 2592], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n3040", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [32, 3040], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 3040], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n3072", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [32, 3072], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 3072], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k32_n3104", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 32], |
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| "dtype": "float16", |
| "shape": [32, 3104], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| { |
| "name": "adaptive_float16_plain_r2_m32_k96_n48", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [32, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [96, 48], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| "outputs": { "Y": { "dtype": "float16", "shape": [32, 48], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m96_k96_n16", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [96, 16], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| "outputs": { "Y": { "dtype": "float16", "shape": [96, 16], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m1_k129_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 129], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [129, 132], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 132], "tolerance": 0.001, "relTolerance": 0.001 } }, |
| "tunables": { "GEMV_TARGET_BLOCKS": 16 } |
| }, |
| { |
| "name": "adaptive_float16_plain_r2_m64_k64_n64", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
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| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 64], |
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| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 64], "tolerance": 0.001, "relTolerance": 0.001 } }, |
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| }, |
| { |
| "name": "adaptive_float16_bias_r3_m1_k1_n4", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 1, 1], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [1, 4], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
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| "bias": { |
| "dtype": "float16", |
| "shape": [4], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
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| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 1, 4], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m1_k31_n48", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
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| "X": { |
| "dtype": "float16", |
| "shape": [1, 1, 31], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
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| "W": { |
| "dtype": "float16", |
| "shape": [31, 48], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [48], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 1, 48], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m1_k129_n124", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 1, 129], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [129, 124], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [124], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 1, 124], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m1_k512_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 1, 512], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [512, 132], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [132], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 1, 132], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m1_k1024_n1024", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 1, 1024], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [1024, 1024], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [1024], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 1, 1024], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m1_k33_n127", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 1, 33], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [33, 127], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [127], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 1, 127], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n1504", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 1504], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [1504], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 1504], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n1536", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 1536], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [1536], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 1536], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n1568", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 1568], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [1568], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 1568], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n2528", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 2528], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [2528], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 2528], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n2560", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 2560], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [2560], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 2560], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n2592", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 2592], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [2592], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 2592], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n3040", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 3040], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [3040], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 3040], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n3072", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 3072], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [3072], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 3072], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r3_m64_k32_n3104", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 64, 32], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [32, 3104], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [3104], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 64, 3104], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r2_m32_k96_n48", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [32, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [96, 48], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [48], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [32, 48], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r2_m96_k96_n16", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [96, 96], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [96, 16], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [16], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [96, 16], "tolerance": 0.001, "relTolerance": 0.001 } } |
| }, |
| { |
| "name": "adaptive_float16_bias_r2_m1_k129_n132", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [1, 129], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [129, 132], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [132], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [1, 132], "tolerance": 0.001, "relTolerance": 0.001 } }, |
| "tunables": { "GEMV_TARGET_BLOCKS": 16 } |
| }, |
| { |
| "name": "adaptive_float16_bias_r2_m64_k64_n64", |
| "provenance": { |
| "notes": "Checks fused matrix multiplication and FastGelu across output-grid boundaries, leading-axis flattening, optional bias and reduction or output tails." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float16", |
| "shape": [64, 64], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float16", |
| "shape": [64], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float16", "shape": [64, 64], "tolerance": 0.001, "relTolerance": 0.001 } }, |
| "tunables": { "SMALL_MATRIX_MAX_GROUPS": 0, "MEDIUM_MATRIX_MAX_GROUPS_F32": 0, "MEDIUM_MATRIX_MAX_GROUPS_F16": 0 } |
| }, |
| { |
| "name": "vector_f32_cancellation_m1_k768_n32", |
| "provenance": { |
| "notes": "Preserves the cancellation-sensitive dot product with a single leading row. Bias and activation must satisfy the f32 tolerance after the partitioned K reduction." |
| }, |
| "inputs": { |
| "X": { |
| "shape": [1, 768], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k768_n32_input_X" } |
| } |
| }, |
| "W": { |
| "shape": [768, 32], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k768_n32_input_W" } |
| } |
| }, |
| "bias": { "shape": [32], "dtype": "float32", "data": { "kind": "constant", "value": -1.1483134031295776 } } |
| }, |
| "outputs": { "Y": { "shape": [1, 32], "dtype": "float32", "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "vector_f32_cancellation_m1_k1024_n32", |
| "provenance": { |
| "notes": "Preserves the cancellation-sensitive dot product with a single leading row. Bias and activation must satisfy the f32 tolerance after the partitioned K reduction." |
| }, |
| "inputs": { |
| "X": { |
| "shape": [1, 1024], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k1024_n32_input_X" } |
| } |
| }, |
| "W": { |
| "shape": [1024, 32], |
| "dtype": "float32", |
| "data": { |
| "kind": "cycle", |
| "values": { "$ref": "#/fixtureArrays/matrix_f32_cancellation_m64_k1024_n32_input_W" } |
| } |
| }, |
| "bias": { "shape": [32], "dtype": "float32", "data": { "kind": "constant", "value": 0.5819082856178284 } } |
| }, |
| "outputs": { "Y": { "shape": [1, 32], "dtype": "float32", "tolerance": 0.00002, "relTolerance": 0.0002 } } |
| }, |
| { |
| "name": "matrix_availability_float32_m32_k512_n2064_bias1", |
| "provenance": { |
| "notes": "Misaligned rows and columns, optional bias, and output tails exercise the fused activation. The float16 result is cast only after float32 computation." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 32, 512], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [512, 2064], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.13, "cosStep": 0.25 } |
| }, |
| "bias": { |
| "dtype": "float32", |
| "shape": [2064], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.31, "cosStep": 0.15 } |
| } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 32, 2064], "tolerance": 0.00001, "relTolerance": 0.00001 } } |
| }, |
| { |
| "name": "matrix_availability_float32_m96_k512_n1040_bias1", |
| "provenance": { |
| "notes": "Misaligned rows and columns, optional bias, and output tails exercise the fused activation. The float16 result is cast only after float32 computation." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 96, 512], |
| "data": { "kind": "fillFloat32", "scale": 0.3, "sinStep": 0.19, "cosStep": 0.33 } |
| }, |
| "W": { |
| "dtype": "float32", |
| "shape": [512, 1040], |
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| } |
| }, |
| "bias": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-1.6862181425094604] } } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 1], "tolerance": 0.00001, "relTolerance": 0.00001 } } |
| }, |
| { |
| "name": "portable_unit_variance_k1024_bias_1", |
| "provenance": { |
| "notes": "Unit-variance operands with cancellation in a long f32 reduction. The strict tolerance applies after the fused activation. A scalar output isolates one dot product; N=1 retains the tiled fallback instead of the aligned vector path." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 1024], |
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| } |
| }, |
| "bias": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.3165823221206665] } } |
| }, |
| "outputs": { "Y": { "dtype": "float32", "shape": [1, 1], "tolerance": 0.00001, "relTolerance": 0.00001 } } |
| }, |
| { |
| "name": "portable_unit_variance_k768_plain_2", |
| "provenance": { |
| "notes": "Unit-variance operands with cancellation in a long f32 reduction. The strict tolerance applies after the fused activation. A scalar output isolates one dot product; N=1 retains the tiled fallback instead of the aligned vector path." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 768], |
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| } |
| } |
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| "outputs": { "Y": { "dtype": "float32", "shape": [1, 1], "tolerance": 0.00001, "relTolerance": 0.00001 } } |
| }, |
| { |
| "name": "portable_unit_variance_k768_bias_3", |
| "provenance": { |
| "notes": "Unit-variance operands with cancellation in a long f32 reduction. The strict tolerance applies after the fused activation. A scalar output isolates one dot product; N=1 retains the tiled fallback instead of the aligned vector path." |
| }, |
| "inputs": { |
| "X": { |
| "dtype": "float32", |
| "shape": [1, 768], |
| "data": { |
| "kind": "values", |
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