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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",
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"detail": "ok"
},
{
"problem": "L2p60_convtranspose3d_swish",
"admitted": true,
"detail": "ok"
},
{
"problem": "L2p77_convtranspose3d_scale",
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"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",
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"detail": "ok"
},
{
"problem": "L2p95_matmul_add_swish_tanh",
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"detail": "ok"
},
{
"problem": "L2p9_matmul_subtract_multiply_relu",
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"detail": "ok"
},
{
"problem": "L3p20_mobilenetv2",
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"detail": "T3_positive_spikes/t0: value max_diff=0.01602"
},
{
"problem": "L3p24_efficientnetb2",
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},
{
"problem": "L3p25_shufflenetunit",
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"detail": "ok"
},
{
"problem": "L3p43_attention",
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"detail": "ok"
},
{
"problem": "L3p45_unetsoftmax",
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},
{
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"detail": "T0_original/t0: value max_diff=8.576e+13"
},
{
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"detail": "ok"
},
{
"problem": "batched_matrix_multiplication",
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"detail": "ok"
},
{
"problem": "matmul_with_large_k_dimension",
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"detail": "ok"
},
{
"problem": "matmul_with_small_k_dimension",
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"detail": "ok"
},
{
"problem": "instancenorm",
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"detail": "ok; H100 CUDA validation: all five T0 trials, all targeted trials and both probes",
"validation_status": "validation/instancenorm/status.json",
"candidate_sha256": "073c3c2a2fce3f599eae9776a52b79528df6a0e95166b7436526f1154dbcf945"
}
]
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