gpt-5.5-priority
l3_default_gpt · original · 50 trajectories
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generated 2026-05-28 03:33:18 UTC
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gpt-5.5-priority
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gpt-5.5-priority
L3 P1
1_MLP.py
correct
1.06x
3.6μs
L3 P2
2_ShallowWideMLP.py
correct
0.98x
11.2μs
L3 P3
3_DeepNarrowMLP.py
correct
5.11x
0.4μs
L3 P4
4_LeNet5.py
correct
0.87x
0.9μs
L3 P5
5_AlexNet.py
error
—
L3 P6
6_GoogleNetInceptionModule.py
correct
1.38x
16.4μs
L3 P7
7_GoogleNetInceptionV1.py
correct
1.21x
2.1μs
L3 P8
8_ResNetBasicBlock.py
correct
0.83x
2.1μs
L3 P9
9_ResNet18.py
correct
1.18x
1.8μs
L3 P10
10_ResNet101.py
correct
0.65x
15.9μs
L3 P11
11_VGG16.py
correct
1.32x
2.6μs
L3 P12
12_VGG19.py
correct
1.33x
2.8μs
L3 P13
13_DenseNet121TransitionLayer.py
correct
5.86x
1.6μs
L3 P14
14_DenseNet121DenseBlock.py
correct
1.04x
7.8μs
L3 P15
15_DenseNet121.py
correct
1.71x
5.4μs
L3 P16
16_DenseNet201.py
correct
1.85x
12.1μs
L3 P17
17_SqueezeNetFireModule.py
correct
1.60x
8.4μs
L3 P18
18_SqueezeNet.py
error
—
L3 P19
19_MobileNetV1.py
error
—
L3 P20
20_MobileNetV2.py
incorrect
—
L3 P21
21_EfficientNetMBConv.py
correct
1.14x
8.7μs
L3 P22
22_EfficientNetB0.py
correct
1.18x
2.9μs
L3 P23
23_EfficientNetB1.py
correct
2.75x
1.9μs
L3 P24
24_EfficientNetB2.py
correct
1.36x
1.7μs
L3 P25
25_ShuffleNetUnit.py
correct
0.53x
15.5μs
L3 P26
26_ShuffleNet.py
correct
1.02x
9.6μs
L3 P27
27_RegNet.py
correct
0.77x
3.1μs
L3 P28
28_VisionTransformer.py
correct
0.87x
2.5μs
L3 P29
29_SwinMLP.py
correct
2.61x
4.6μs
L3 P30
30_SwinTransformerV2.py
error
—
L3 P31
31_VisionAttention.py
correct
1.51x
14.4μs
L3 P32
32_ConvolutionalVisionTransforme
error
—
L3 P33
33_VanillaRNN.py
correct
1.00x
6.8μs
L3 P34
34_VanillaRNNHidden.py
correct
9.70x
1.7μs
L3 P35
35_LSTM.py
error
—
L3 P36
36_LSTMHn.py
correct
0.91x
28.9μs
L3 P37
37_LSTMCn.py
correct
1.03x
25.2μs
L3 P38
38_LSTMBidirectional.py
error
—
L3 P39
39_GRU.py
correct
1.02x
42.8μs
L3 P40
40_GRUHidden.py
correct
1.10x
23.2μs
L3 P41
41_GRUBidirectional.py
error
—
L3 P42
42_GRUBidirectionalHidden.py
correct
0.94x
326.0μs
L3 P43
43_MinGPTCausalAttention.py
error
—
L3 P44
44_MiniGPTBlock.py
correct
1.60x
21.5μs
L3 P45
45_UNetSoftmax.py
correct
1.09x
5.0μs
L3 P46
46_NetVladWithGhostClusters.py
correct
0.63x
2.5μs
L3 P47
47_NetVladNoGhostClusters.py
correct
0.28x
5.2μs
L3 P48
48_Mamba2ReturnY.py
correct
1.03x
8.1μs
L3 P49
49_Mamba2ReturnFinalState.py
correct
2.93x
2.2μs
L3 P50
50_ReLUSelfAttention.py
correct
—