KernelBench-M / gate_report.json
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KernelBench-M artifact: rules, substrates, witnesses, pipeline, summaries
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[
{
"problem": "L2p100_convtranspose3d_clamp",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p10_convtranspose2d_maxpoo",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p26_convtranspose3d_add_hardswish",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p60_convtranspose3d_swish",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p77_convtranspose3d_scale",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p7_conv3d_relu_leakyrelu",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p92_conv2d_groupnorm_tanh",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p94_gemm_biasadd_hardtanh",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p95_matmul_add_swish_tanh",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p9_matmul_subtract_multiply_relu",
"admitted": true,
"detail": "ok"
},
{
"problem": "L3p20_mobilenetv2",
"admitted": false,
"detail": "T3_positive_spikes/t0: value max_diff=0.01602"
},
{
"problem": "L3p24_efficientnetb2",
"admitted": false,
"detail": "T0_original/t0: value max_diff=1.422"
},
{
"problem": "L3p25_shufflenetunit",
"admitted": true,
"detail": "ok"
},
{
"problem": "L3p43_attention",
"admitted": true,
"detail": "ok"
},
{
"problem": "L3p45_unetsoftmax",
"admitted": false,
"detail": "T0_original/t0: value max_diff=0.3798"
},
{
"problem": "L3p48_mamba2returny",
"admitted": false,
"detail": "T0_original/t0: value max_diff=8.576e+13"
},
{
"problem": "L3p49_mamba2returnfinalsta",
"admitted": true,
"detail": "ok"
},
{
"problem": "batched_matrix_multiplication",
"admitted": true,
"detail": "ok"
},
{
"problem": "matmul_with_large_k_dimension",
"admitted": true,
"detail": "ok"
},
{
"problem": "matmul_with_small_k_dimension",
"admitted": true,
"detail": "ok"
}
]