level 2 · 198/288 correct
trajectories
288
finished
288
correct
198
compiled
200
avg speedup (correct)
277.42x
sweep-wide eval metricsaveraged over correct kernels
outcomescorrect 198 · error 88 · incorrect 2
avg speedup277.42x (over 198 correct)
avg memory ratio (kernel / ref)0.89x (197 samples)
avg fusion ratio (ref launches / kernel launches)1147.24x (197 samples)
avg energy ratio (ref / kernel)1.85x (122 samples)
avg SOL score (0–1)0.639 (197 samples)
avg DRAM util %53.4%
avg occupancy %209.2%
avg max abs error2.75e-03
original · 142/200 correct
P1 · Kimi-K2.61_Conv2D_ReLU_BiasAdd.py
correct1.12x3.9μs
P2 · Kimi-K2.62_ConvTranspose2d_BiasAdd_Clamp_
correct0.95x13.6μs
P3 · Kimi-K2.63_ConvTranspose3d_Sum_LayerNorm_
correct2.85x3.5μs
P4 · Kimi-K2.64_Conv2d_Mish_Mish.py
error—
P5 · Kimi-K2.65_ConvTranspose2d_Subtract_Tanh.
error—
P6 · Kimi-K2.66_Conv3d_Softmax_MaxPool_MaxPool
correct0.86x1.0μs
P7 · Kimi-K2.67_Conv3d_ReLU_LeakyReLU_GELU_Sig
correct1.44x4.5μs
P8 · Kimi-K2.68_Conv3d_Divide_Max_GlobalAvgPoo
correct1.17x2.2μs
P9 · Kimi-K2.69_Matmul_Subtract_Multiply_ReLU.
correct1.02x2.7μs
P10 · Kimi-K2.610_ConvTranspose2d_MaxPool_Hardt
correct1.17x8.3μs
P11 · Kimi-K2.611_ConvTranspose2d_BatchNorm_Tan
correct1.10x3.9μs
P12 · Kimi-K2.612_Gemm_Multiply_LeakyReLU.py
error—
P13 · Kimi-K2.613_ConvTranspose3d_Mean_Add_Soft
error—
P14 · Kimi-K2.614_Gemm_Divide_Sum_Scaling.py
error—
P15 · Kimi-K2.615_ConvTranspose3d_BatchNorm_Sub
error—
P16 · Kimi-K2.616_ConvTranspose2d_Mish_Add_Hard
correct1.51x7.3μs
P17 · Kimi-K2.617_Conv2d_InstanceNorm_Divide.py
correct1.36x3.6μs
P18 · Kimi-K2.618_Matmul_Sum_Max_AvgPool_LogSum
correct115.83x0.0μs
P19 · Kimi-K2.619_ConvTranspose2d_GELU_GroupNor
error—
P20 · Kimi-K2.620_ConvTranspose3d_Sum_ResidualA
correct2.12x1.7μs
P21 · Kimi-K2.621_Conv2d_Add_Scale_Sigmoid_Grou
error—
P22 · Kimi-K2.622_Matmul_Scale_ResidualAdd_Clam
correct1.06x2.7μs
P23 · Kimi-K2.623_Conv3d_GroupNorm_Mean.py
correct1.39x0.9μs
P24 · Kimi-K2.624_Conv3d_Min_Softmax.py
correct0.97x1.0μs
P25 · Kimi-K2.625_Conv2d_Min_Tanh_Tanh.py
correct1.04x6.2μs
P26 · Kimi-K2.626_ConvTranspose3d_Add_HardSwish
error—
P27 · Kimi-K2.627_Conv3d_HardSwish_GroupNorm_Me
error—
P28 · Kimi-K2.628_BMM_InstanceNorm_Sum_Residual
correct1.03x2.7μs
P29 · Kimi-K2.629_Matmul_Mish_Mish.py
correct1.00x2.7μs
P30 · Kimi-K2.630_Gemm_GroupNorm_Hardtanh.py
correct1.05x2.7μs
P31 · Kimi-K2.631_Conv2d_Min_Add_Multiply.py
correct1.35x3.8μs
P32 · Kimi-K2.632_Conv2d_Scaling_Min.py
correct1.23x6.4μs
P33 · Kimi-K2.633_Gemm_Scale_BatchNorm.py
error—
P34 · Kimi-K2.634_ConvTranspose3d_LayerNorm_GEL
correct2.00x5.0μs
P35 · Kimi-K2.635_Conv2d_Subtract_HardSwish_Max
error—
P36 · Kimi-K2.636_ConvTranspose2d_Min_Sum_GELU_
correct0.28x5.2μs
P37 · Kimi-K2.637_Matmul_Swish_Sum_GroupNorm.py
correct1.20x7.2μs
P38 · Kimi-K2.638_ConvTranspose3d_AvgPool_Clamp
error—
P39 · Kimi-K2.639_Gemm_Scale_BatchNorm.py
correct0.92x12.5μs
P40 · Kimi-K2.640_Matmul_Scaling_ResidualAdd.py
correct1.05x11.1μs
P41 · Kimi-K2.641_Gemm_BatchNorm_GELU_ReLU.py
correct1.01x11.5μs
P42 · Kimi-K2.642_ConvTranspose2d_GlobalAvgPool
error—
P43 · Kimi-K2.643_Conv3d_Max_LogSumExp_ReLU.py
error—
P44 · Kimi-K2.644_ConvTranspose2d_Multiply_Glob
error—
P45 · Kimi-K2.645_Gemm_Sigmoid_LogSumExp.py
correct0.99x8.6μs
P46 · Kimi-K2.646_Conv2d_Subtract_Tanh_Subtract
error—
P47 · Kimi-K2.647_Conv3d_Mish_Tanh.py
error—
P48 · Kimi-K2.648_Conv3d_Scaling_Tanh_Multiply_
correct0.58x5.8μs
P49 · Kimi-K2.649_ConvTranspose3d_Softmax_Sigmo
error—
P50 · Kimi-K2.650_ConvTranspose3d_Scaling_AvgPo
correct10.04x0.6μs
P51 · Kimi-K2.651_Gemm_Subtract_GlobalAvgPool_L
error—
P52 · Kimi-K2.652_Conv2d_Activation_BatchNorm.p
error—
P53 · Kimi-K2.653_Gemm_Scaling_Hardtanh_GELU.py
correct1.10x0.7μs
P54 · Kimi-K2.654_Conv2d_Multiply_LeakyReLU_GEL
correct1.31x4.7μs
P55 · Kimi-K2.655_Matmul_MaxPool_Sum_Scale.py
error—
P56 · Kimi-K2.656_Matmul_Sigmoid_Sum.py
error—
P57 · Kimi-K2.657_Conv2d_ReLU_HardSwish.py
correct0.41x7.3μs
P58 · Kimi-K2.658_ConvTranspose3d_LogSumExp_Har
correct1.74x4.0μs
P59 · Kimi-K2.659_Matmul_Swish_Scaling.py
correct1.03x5.3μs
P60 · Kimi-K2.660_ConvTranspose3d_Swish_GroupNo
incorrect—
P61 · Kimi-K2.661_ConvTranspose3d_ReLU_GroupNor
correct1.13x3.2μs
P62 · Kimi-K2.662_Matmul_GroupNorm_LeakyReLU_Su
correct1.14x2.7μs
P63 · Kimi-K2.663_Gemm_ReLU_Divide.py
correct1.01x2.7μs
P64 · Kimi-K2.664_Gemm_LogSumExp_LeakyReLU_Leak
correct1.02x5.2μs
P65 · Kimi-K2.665_Conv2d_AvgPool_Sigmoid_Sum.py
correct1.20x10.1μs
P66 · Kimi-K2.666_Matmul_Dropout_Softmax.py
error—
P67 · Kimi-K2.667_Conv2d_GELU_GlobalAvgPool.py
correct1.27x5.2μs
P68 · Kimi-K2.668_Matmul_Min_Subtract.py
error—
P69 · Kimi-K2.669_Conv2d_HardSwish_ReLU.py
correct1.34x1.3μs
P70 · Kimi-K2.670_Gemm_Sigmoid_Scaling_Residual
correct1.02x2.7μs
P71 · Kimi-K2.671_Conv2d_Divide_LeakyReLU.py
correct0.96x1.9μs
P72 · Kimi-K2.672_ConvTranspose3d_BatchNorm_Avg
correct0.86x14.2μs
P73 · Kimi-K2.673_Conv2d_BatchNorm_Scaling.py
error—
P74 · Kimi-K2.674_ConvTranspose3d_LeakyReLU_Mul
error—
P75 · Kimi-K2.675_Gemm_GroupNorm_Min_BiasAdd.py
correct1.06x2.9μs
P76 · Kimi-K2.676_Gemm_Add_ReLU.py
correct1.01x2.8μs
P77 · Kimi-K2.677_ConvTranspose3d_Scale_BatchNo
correct1.00x6.2μs
P78 · Kimi-K2.678_ConvTranspose3d_Max_Max_Sum.p
correct1.00x47.3μs
P79 · Kimi-K2.679_Conv3d_Multiply_InstanceNorm_
correct1.67x0.6μs
P80 · Kimi-K2.680_Gemm_Max_Subtract_GELU.py
correct496.35x0.0μs
P81 · Kimi-K2.681_Gemm_Swish_Divide_Clamp_Tanh_
correct1.04x2.7μs
P82 · Kimi-K2.682_Conv2d_Tanh_Scaling_BiasAdd_M
correct1.91x5.2μs
P83 · Kimi-K2.683_Conv3d_GroupNorm_Min_Clamp_Dr
correct13.70x0.3μs
P84 · Kimi-K2.684_Gemm_BatchNorm_Scaling_Softma
error—
P85 · Kimi-K2.685_Conv2d_GroupNorm_Scale_MaxPoo
correct1.67x1.5μs
P86 · Kimi-K2.686_Matmul_Divide_GELU.py
error—
P87 · Kimi-K2.687_Conv2d_Subtract_Subtract_Mish
correct1.48x5.8μs
P88 · Kimi-K2.688_Gemm_GroupNorm_Swish_Multiply
error—
P89 · Kimi-K2.689_ConvTranspose3d_MaxPool_Softm
correct1.17x4.9μs
P90 · Kimi-K2.690_Conv3d_LeakyReLU_Sum_Clamp_GE
correct1.43x8.0μs
P91 · Kimi-K2.691_ConvTranspose2d_Softmax_BiasA
correct2.01x4.6μs
P92 · Kimi-K2.692_Conv2d_GroupNorm_Tanh_HardSwi
correct0.77x5.8μs
P93 · Kimi-K2.693_ConvTranspose2d_Add_Min_GELU_
correct1.34x4.3μs
P94 · Kimi-K2.694_Gemm_BiasAdd_Hardtanh_Mish_Gr
error—
P95 · Kimi-K2.695_Matmul_Add_Swish_Tanh_GELU_Ha
correct1.05x2.7μs
P96 · Kimi-K2.696_ConvTranspose3d_Multiply_Max_
correct1.20x4.5μs
P97 · Kimi-K2.697_Matmul_BatchNorm_BiasAdd_Divi
correct1.03x2.8μs
P98 · Kimi-K2.698_Matmul_AvgPool_GELU_Scale_Max
error—
P99 · Kimi-K2.699_Matmul_GELU_Softmax.py
error—
P100 · Kimi-K2.6100_ConvTranspose3d_Clamp_Min_Di
error—
P1 · gpt-5.5-priority1_Conv2D_ReLU_BiasAdd.py
correct1.60x2.7μs
P2 · gpt-5.5-priority2_ConvTranspose2d_BiasAdd_Clamp_
correct1.76x7.2μs
P3 · gpt-5.5-priority3_ConvTranspose3d_Sum_LayerNorm_
correct3.01x3.4μs
P4 · gpt-5.5-priority4_Conv2d_Mish_Mish.py
correct1.14x7.6μs
P5 · gpt-5.5-priority5_ConvTranspose2d_Subtract_Tanh.
error—
P6 · gpt-5.5-priority6_Conv3d_Softmax_MaxPool_MaxPool
error—
P7 · gpt-5.5-priority7_Conv3d_ReLU_LeakyReLU_GELU_Sig
correct1.54x4.2μs
P8 · gpt-5.5-priority8_Conv3d_Divide_Max_GlobalAvgPoo
correct1.08x4.1μs
P9 · gpt-5.5-priority9_Matmul_Subtract_Multiply_ReLU.
correct7.91x0.3μs
P10 · gpt-5.5-priority10_ConvTranspose2d_MaxPool_Hardt
correct1.18x8.3μs
P11 · gpt-5.5-priority11_ConvTranspose2d_BatchNorm_Tan
correct1.09x2.4μs
P12 · gpt-5.5-priority12_Gemm_Multiply_LeakyReLU.py
correct0.98x2.8μs
P13 · gpt-5.5-priority13_ConvTranspose3d_Mean_Add_Soft
correct1.34x7.4μs
P14 · gpt-5.5-priority14_Gemm_Divide_Sum_Scaling.py
correct1.01x2.8μs
P15 · gpt-5.5-priority15_ConvTranspose3d_BatchNorm_Sub
correct1.68x1.2μs
P16 · gpt-5.5-priority16_ConvTranspose2d_Mish_Add_Hard
error—
P17 · gpt-5.5-priority17_Conv2d_InstanceNorm_Divide.py
correct1.22x4.0μs
P18 · gpt-5.5-priority18_Matmul_Sum_Max_AvgPool_LogSum
correct95.85x0.0μs
P19 · gpt-5.5-priority19_ConvTranspose2d_GELU_GroupNor
correct1.04x16.2μs
P20 · gpt-5.5-priority20_ConvTranspose3d_Sum_ResidualA
correct2.18x1.7μs
P21 · gpt-5.5-priority21_Conv2d_Add_Scale_Sigmoid_Grou
error—
P22 · gpt-5.5-priority22_Matmul_Scale_ResidualAdd_Clam
correct1.06x2.7μs
P23 · gpt-5.5-priority23_Conv3d_GroupNorm_Mean.py
correct230.22x0.0μs
P24 · gpt-5.5-priority24_Conv3d_Min_Softmax.py
correct0.51x1.9μs
P25 · gpt-5.5-priority25_Conv2d_Min_Tanh_Tanh.py
correct1.04x6.3μs
P26 · gpt-5.5-priority26_ConvTranspose3d_Add_HardSwish
error—
P27 · gpt-5.5-priority27_Conv3d_HardSwish_GroupNorm_Me
correct0.26x46.7μs
P28 · gpt-5.5-priority28_BMM_InstanceNorm_Sum_Residual
correct1.03x2.7μs
P29 · gpt-5.5-priority29_Matmul_Mish_Mish.py
correct—
P30 · gpt-5.5-priority30_Gemm_GroupNorm_Hardtanh.py
correct1.04x2.7μs
P31 · gpt-5.5-priority31_Conv2d_Min_Add_Multiply.py
correct1.34x3.8μs
P32 · gpt-5.5-priority32_Conv2d_Scaling_Min.py
correct1.23x6.5μs
P33 · gpt-5.5-priority33_Gemm_Scale_BatchNorm.py
correct1.00x2.8μs
P34 · gpt-5.5-priority34_ConvTranspose3d_LayerNorm_GEL
error—
P35 · gpt-5.5-priority35_Conv2d_Subtract_HardSwish_Max
correct1.57x3.3μs
P36 · gpt-5.5-priority36_ConvTranspose2d_Min_Sum_GELU_
correct245.00x0.0μs
P37 · gpt-5.5-priority37_Matmul_Swish_Sum_GroupNorm.py
error—
P38 · gpt-5.5-priority38_ConvTranspose3d_AvgPool_Clamp
error—
P39 · gpt-5.5-priority39_Gemm_Scale_BatchNorm.py
correct1.03x11.2μs
P40 · gpt-5.5-priority40_Matmul_Scaling_ResidualAdd.py
correct1.04x11.1μs
P41 · gpt-5.5-priority41_Gemm_BatchNorm_GELU_ReLU.py
error—
P42 · gpt-5.5-priority42_ConvTranspose2d_GlobalAvgPool
correct13.84x0.5μs
P43 · gpt-5.5-priority43_Conv3d_Max_LogSumExp_ReLU.py
correct0.24x11.0μs
P44 · gpt-5.5-priority44_ConvTranspose2d_Multiply_Glob
correct29.93x0.1μs
P45 · gpt-5.5-priority45_Gemm_Sigmoid_LogSumExp.py
correct1.01x8.5μs
P46 · gpt-5.5-priority46_Conv2d_Subtract_Tanh_Subtract
error—
P47 · gpt-5.5-priority47_Conv3d_Mish_Tanh.py
correct0.62x4.1μs
P48 · gpt-5.5-priority48_Conv3d_Scaling_Tanh_Multiply_
correct2.42x1.4μs
P49 · gpt-5.5-priority49_ConvTranspose3d_Softmax_Sigmo
correct0.20x14.7μs
P50 · gpt-5.5-priority50_ConvTranspose3d_Scaling_AvgPo
correct19.00x0.3μs
P51 · gpt-5.5-priority51_Gemm_Subtract_GlobalAvgPool_L
correct77.15x0.1μs
P52 · gpt-5.5-priority52_Conv2d_Activation_BatchNorm.p
correct1.03x3.4μs
P53 · gpt-5.5-priority53_Gemm_Scaling_Hardtanh_GELU.py
correct1.02x5.4μs
P54 · gpt-5.5-priority54_Conv2d_Multiply_LeakyReLU_GEL
correct1.28x4.8μs
P55 · gpt-5.5-priority55_Matmul_MaxPool_Sum_Scale.py
error—
P56 · gpt-5.5-priority56_Matmul_Sigmoid_Sum.py
correct3.46x1.6μs
P57 · gpt-5.5-priority57_Conv2d_ReLU_HardSwish.py
error—
P58 · gpt-5.5-priority58_ConvTranspose3d_LogSumExp_Har
correct7.22x1.0μs
P59 · gpt-5.5-priority59_Matmul_Swish_Scaling.py
correct1.01x5.3μs
P60 · gpt-5.5-priority60_ConvTranspose3d_Swish_GroupNo
error—
P61 · gpt-5.5-priority61_ConvTranspose3d_ReLU_GroupNor
error—
P62 · gpt-5.5-priority62_Matmul_GroupNorm_LeakyReLU_Su
correct1.14x2.7μs
P63 · gpt-5.5-priority63_Gemm_ReLU_Divide.py
correct0.99x2.8μs
P64 · gpt-5.5-priority64_Gemm_LogSumExp_LeakyReLU_Leak
error—
P65 · gpt-5.5-priority65_Conv2d_AvgPool_Sigmoid_Sum.py
correct2.14x5.7μs
P66 · gpt-5.5-priority66_Matmul_Dropout_Softmax.py
error—
P67 · gpt-5.5-priority67_Conv2d_GELU_GlobalAvgPool.py
error—
P68 · gpt-5.5-priority68_Matmul_Min_Subtract.py
correct1.01x1.4μs
P69 · gpt-5.5-priority69_Conv2d_HardSwish_ReLU.py
error—
P70 · gpt-5.5-priority70_Gemm_Sigmoid_Scaling_Residual
correct0.99x2.8μs
P71 · gpt-5.5-priority71_Conv2d_Divide_LeakyReLU.py
correct1.38x1.3μs
P72 · gpt-5.5-priority72_ConvTranspose3d_BatchNorm_Avg
incorrect—
P73 · gpt-5.5-priority73_Conv2d_BatchNorm_Scaling.py
correct0.71x3.7μs
P74 · gpt-5.5-priority74_ConvTranspose3d_LeakyReLU_Mul
correct0.85x1.7μs
P75 · gpt-5.5-priority75_Gemm_GroupNorm_Min_BiasAdd.py
correct1.13x2.7μs
P76 · gpt-5.5-priority76_Gemm_Add_ReLU.py
correct1.02x2.7μs
P77 · gpt-5.5-priority77_ConvTranspose3d_Scale_BatchNo
correct1.08x5.0μs
P78 · gpt-5.5-priority78_ConvTranspose3d_Max_Max_Sum.p
error—
P79 · gpt-5.5-priority79_Conv3d_Multiply_InstanceNorm_
correct1.06x0.9μs
P80 · gpt-5.5-priority80_Gemm_Max_Subtract_GELU.py
correct504.64x0.0μs
P81 · gpt-5.5-priority81_Gemm_Swish_Divide_Clamp_Tanh_
correct1.05x2.7μs
P82 · gpt-5.5-priority82_Conv2d_Tanh_Scaling_BiasAdd_M
correct1.79x5.5μs
P83 · gpt-5.5-priority83_Conv3d_GroupNorm_Min_Clamp_Dr
correct25.95x0.2μs
P84 · gpt-5.5-priority84_Gemm_BatchNorm_Scaling_Softma
correct1.02x2.8μs
P85 · gpt-5.5-priority85_Conv2d_GroupNorm_Scale_MaxPoo
correct1.68x1.5μs
P86 · gpt-5.5-priority86_Matmul_Divide_GELU.py
error—
P87 · gpt-5.5-priority87_Conv2d_Subtract_Subtract_Mish
correct0.65x13.3μs
P88 · gpt-5.5-priority88_Gemm_GroupNorm_Swish_Multiply
error—
P89 · gpt-5.5-priority89_ConvTranspose3d_MaxPool_Softm
correct12.33x0.5μs
P90 · gpt-5.5-priority90_Conv3d_LeakyReLU_Sum_Clamp_GE
correct1.42x8.0μs
P91 · gpt-5.5-priority91_ConvTranspose2d_Softmax_BiasA
correct2.30x4.0μs
P92 · gpt-5.5-priority92_Conv2d_GroupNorm_Tanh_HardSwi
correct1.20x3.5μs
P93 · gpt-5.5-priority93_ConvTranspose2d_Add_Min_GELU_
correct1.71x3.4μs
P94 · gpt-5.5-priority94_Gemm_BiasAdd_Hardtanh_Mish_Gr
correct1.08x2.7μs
P95 · gpt-5.5-priority95_Matmul_Add_Swish_Tanh_GELU_Ha
correct1.03x2.8μs
P96 · gpt-5.5-priority96_ConvTranspose3d_Multiply_Max_
correct18.75x0.3μs
P97 · gpt-5.5-priority97_Matmul_BatchNorm_BiasAdd_Divi
error—
P98 · gpt-5.5-priority98_Matmul_AvgPool_GELU_Scale_Max
correct14.34x0.2μs
P99 · gpt-5.5-priority99_Matmul_GELU_Softmax.py
correct1.00x2.7μs
P100 · gpt-5.5-priority100_ConvTranspose3d_Clamp_Min_Di
correct1.30x10.4μs
popcorn · 56/88 correct
P1 · Kimi-K2.61_DeepSeekMLALoRAExpansion.py
error—
P3 · Kimi-K2.63_FusedCrossAttentionRoPEDropout
error—
P4 · Kimi-K2.64_GFVLA_FusedSceneGraphUpdate.py
correct2.03x0.2μs
P5 · Kimi-K2.65_LayerNorm_GELU_DilatedConv1d_R
error—
P6 · Kimi-K2.66_TriangularAttention.py
correct1.75x0.2μs
P7 · Kimi-K2.67_Conv1d_Depthwise_Separable.py
correct1.48x0.4μs
P8 · Kimi-K2.68_DeepSeekMoEGroundedTop2Routing
correct2.99x0.0μs
P9 · Kimi-K2.69_MetropolisHastingsStep.py
correct8.32x0.0μs
P10 · Kimi-K2.610_GFVLA_FusedPairwiseNodeAggreg
correct0.25x0.5μs
P12 · Kimi-K2.612_BatchNorm_GELU_DilatedConv1d_
error—
P13 · Kimi-K2.613_QuantVLA_SelectiveLayoutFusio
correct1.51x0.1μs
P14 · Kimi-K2.614_TriangularMultiplicativeUpdat
error—
P15 · Kimi-K2.615_GQAKVHeadExpansionAttention.p
correct6289.31x0.0μs
P16 · Kimi-K2.616_HamiltonianMonteCarloStep.py
correct42.97x0.0μs
P17 · Kimi-K2.617_FP8ScaledAttention.py
correct940.53x0.0μs
P19 · Kimi-K2.619_DepthwiseSeparableConv1D_GELU
error—
P20 · Kimi-K2.620_GatedDeltaNetLinearAttention.
error—
P21 · Kimi-K2.621_TriangularMultiplicativeUpdat
correct2.03x0.1μs
P22 · Kimi-K2.622_FusedBallQuery3D.py
error—
P23 · Kimi-K2.623_GibbsSamplingStep.py
correct9.05x0.4μs
P24 · Kimi-K2.624_KimiDeltaAttentionChannelwise
error—
P25 · Kimi-K2.625_OuterProductMean.py
error—
P26 · Kimi-K2.626_RoPEKVCacheUpdate.py
correct225.71x0.0μs
P28 · Kimi-K2.628_FusedGroupNormSiLU.py
correct1.34x0.0μs
P29 · Kimi-K2.629_MSARowAttention.py
correct2.37x0.2μs
P30 · Kimi-K2.630_SelectiveScan_Mamba.py
correct56.22x2.3μs
P31 · Kimi-K2.631_FusedMLAAttention.py
correct3441.40x0.1μs
P32 · Kimi-K2.632_MSAColumnAttention.py
correct3.83x0.1μs
P33 · Kimi-K2.633_VectorizedPoseTransformFused.
correct45.79x0.0μs
P35 · Kimi-K2.635_FusedConv1dGroupNorm.py
error—
P36 · Kimi-K2.636_InvariantPointAttention.py
correct3.95x0.2μs
P37 · Kimi-K2.637_CSRFusedAttentionValue.py
error—
P39 · Kimi-K2.639_Fused1DTemporalConvolution.py
correct0.07x1.5μs
P40 · Kimi-K2.640_SmithWatermanDPScore.py
error—
P41 · Kimi-K2.641_VariationalELBO.py
error—
P42 · Kimi-K2.642_BatchedForwardKinematics.py
correct3.68x0.0μs
P43 · Kimi-K2.643_ContactMapPrediction.py
error—
P44 · Kimi-K2.644_ReparameterizationTrick.py
error—
P45 · Kimi-K2.645_AxialAttention.py
error—
P46 · Kimi-K2.646_SteinVariationalGradient.py
correct4.29x0.2μs
P47 · Kimi-K2.647_virtual_all_gather_concat_lin
correct1.12x0.0μs
P48 · Kimi-K2.648_ParticleFilter.py
error—
P49 · Kimi-K2.649_sum_gelu_across_virtual_ranks
correct1.44x0.0μs
P50 · Kimi-K2.650_HiddenMarkovForward.py
error—
P1 · gpt-5.5-priority1_DeepSeekMLALoRAExpansion.py
correct1.06x0.0μs
P3 · gpt-5.5-priority3_FusedCrossAttentionRoPEDropout
error—
P4 · gpt-5.5-priority4_GFVLA_FusedSceneGraphUpdate.py
correct9.23x0.0μs
P5 · gpt-5.5-priority5_LayerNorm_GELU_DilatedConv1d_R
correct0.99x2.8μs
P6 · gpt-5.5-priority6_TriangularAttention.py
error—
P7 · gpt-5.5-priority7_Conv1d_Depthwise_Separable.py
correct1.76x0.3μs
P8 · gpt-5.5-priority8_DeepSeekMoEGroundedTop2Routing
correct3.61x0.0μs
P9 · gpt-5.5-priority9_MetropolisHastingsStep.py
correct6.20x0.0μs
P10 · gpt-5.5-priority10_GFVLA_FusedPairwiseNodeAggreg
error—
P12 · gpt-5.5-priority12_BatchNorm_GELU_DilatedConv1d_
error—
P13 · gpt-5.5-priority13_QuantVLA_SelectiveLayoutFusio
correct4.24x0.0μs
P14 · gpt-5.5-priority14_TriangularMultiplicativeUpdat
correct2.10x0.1μs
P15 · gpt-5.5-priority15_GQAKVHeadExpansionAttention.p
error—
P16 · gpt-5.5-priority16_HamiltonianMonteCarloStep.py
correct39.82x0.0μs
P17 · gpt-5.5-priority17_FP8ScaledAttention.py
correct2150.84x0.0μs
P19 · gpt-5.5-priority19_DepthwiseSeparableConv1D_GELU
error—
P20 · gpt-5.5-priority20_GatedDeltaNetLinearAttention.
correct108.24x0.1μs
P21 · gpt-5.5-priority21_TriangularMultiplicativeUpdat
error—
P22 · gpt-5.5-priority22_FusedBallQuery3D.py
error—
P23 · gpt-5.5-priority23_GibbsSamplingStep.py
correct23.94x0.1μs
P24 · gpt-5.5-priority24_KimiDeltaAttentionChannelwise
correct97.72x0.1μs
P25 · gpt-5.5-priority25_OuterProductMean.py
correct1.07x0.2μs
P26 · gpt-5.5-priority26_RoPEKVCacheUpdate.py
correct463.61x0.0μs
P28 · gpt-5.5-priority28_FusedGroupNormSiLU.py
correct2.54x0.0μs
P29 · gpt-5.5-priority29_MSARowAttention.py
error—
P30 · gpt-5.5-priority30_SelectiveScan_Mamba.py
correct113.16x1.1μs
P31 · gpt-5.5-priority31_FusedMLAAttention.py
correct31878.79x0.0μs
P32 · gpt-5.5-priority32_MSAColumnAttention.py
correct4.36x0.1μs
P33 · gpt-5.5-priority33_VectorizedPoseTransformFused.
correct50.95x0.0μs
P35 · gpt-5.5-priority35_FusedConv1dGroupNorm.py
correct1.10x0.1μs
P36 · gpt-5.5-priority36_InvariantPointAttention.py
correct12.65x0.1μs
P37 · gpt-5.5-priority37_CSRFusedAttentionValue.py
correct2572.65x0.0μs
P39 · gpt-5.5-priority39_Fused1DTemporalConvolution.py
error—
P40 · gpt-5.5-priority40_SmithWatermanDPScore.py
correct3892.22x0.0μs
P41 · gpt-5.5-priority41_VariationalELBO.py
correct4.02x0.1μs
P42 · gpt-5.5-priority42_BatchedForwardKinematics.py
correct12.89x0.0μs
P43 · gpt-5.5-priority43_ContactMapPrediction.py
correct0.97x0.1μs
P44 · gpt-5.5-priority44_ReparameterizationTrick.py
correct4.81x0.1μs
P45 · gpt-5.5-priority45_AxialAttention.py
correct0.68x0.6μs
P46 · gpt-5.5-priority46_SteinVariationalGradient.py
correct1.35x0.7μs
P47 · gpt-5.5-priority47_virtual_all_gather_concat_lin
correct1.63x0.0μs
P48 · gpt-5.5-priority48_ParticleFilter.py
error—
P49 · gpt-5.5-priority49_sum_gelu_across_virtual_ranks
error—
P50 · gpt-5.5-priority50_HiddenMarkovForward.py
error—