l3_all_gpt · original · 50 trajectories
L3 P1 1_MLP.py
error —
L3 P2 2_ShallowWideMLP.py
correct 1.60x 7.1μs
L3 P3 3_DeepNarrowMLP.py
correct 1.09x 1.7μs
L3 P4 4_LeNet5.py
correct 2.03x 0.4μs
L3 P5 5_AlexNet.py
correct 1.40x 17.6μs
L3 P6 6_GoogleNetInceptionModule.py
error —
L3 P7 7_GoogleNetInceptionV1.py
correct 0.52x 6.5μs
L3 P8 8_ResNetBasicBlock.py
correct 1.08x 1.7μs
L3 P9 9_ResNet18.py
correct 3.14x 2.3μs
L3 P10 10_ResNet101.py
correct 1.83x 9.5μs
L3 P11 11_VGG16.py
correct 1.51x 2.4μs
L3 P12 12_VGG19.py
correct 1.37x 2.9μs
L3 P13 13_DenseNet121TransitionLayer.py
correct 0.97x 9.7μs
L3 P14 14_DenseNet121DenseBlock.py
correct 0.33x 40.1μs
L3 P15 15_DenseNet121.py
correct 1.51x 5.5μs
L3 P16 16_DenseNet201.py
correct 1.70x 12.7μs
L3 P17 17_SqueezeNetFireModule.py
correct 1.09x 12.3μs
L3 P18 18_SqueezeNet.py
error —
L3 P19 19_MobileNetV1.py
correct 1.37x 1.9μs
L3 P20 20_MobileNetV2.py
error —
L3 P21 21_EfficientNetMBConv.py
correct 1.12x 8.2μs
L3 P22 22_EfficientNetB0.py
error —
L3 P23 23_EfficientNetB1.py
correct 1.34x 2.1μs
L3 P24 24_EfficientNetB2.py
correct 0.98x 1.9μs
L3 P25 25_ShuffleNetUnit.py
correct 0.97x 9.4μs
L3 P26 26_ShuffleNet.py
correct 1.14x 10.1μs
L3 P27 27_RegNet.py
correct 1.22x 1.9μs
L3 P28 28_VisionTransformer.py
correct 10.48x 0.2μs
L3 P29 29_SwinMLP.py
correct 1.97x 4.1μs
L3 P30 30_SwinTransformerV2.py
correct 0.81x 15.9μs
L3 P31 31_VisionAttention.py
correct 1.46x 14.9μs
L3 P32 32_ConvolutionalVisionTransforme
correct 6.43x 0.4μs
L3 P33 33_VanillaRNN.py
correct 1.01x 1.1μs
L3 P34 34_VanillaRNNHidden.py
error —
L3 P35 35_LSTM.py
correct 1.26x 20.5μs
L3 P36 36_LSTMHn.py
correct 1.00x 30.7μs
L3 P37 37_LSTMCn.py
correct 1.05x 24.1μs
L3 P38 38_LSTMBidirectional.py
correct 1.01x 49.2μs
L3 P39 39_GRU.py
error —
L3 P40 40_GRUHidden.py
correct 3.73x 12.4μs
L3 P41 41_GRUBidirectional.py
correct 0.09x 691.0μs
L3 P42 42_GRUBidirectionalHidden.py
error —
L3 P43 43_MinGPTCausalAttention.py
correct 1.44x 11.8μs
L3 P44 44_MiniGPTBlock.py
correct 1.49x 9.1μs
L3 P45 45_UNetSoftmax.py
error —
L3 P46 46_NetVladWithGhostClusters.py
correct 1.13x 1.2μs
L3 P47 47_NetVladNoGhostClusters.py
error —
L3 P48 48_Mamba2ReturnY.py
correct 0.94x 8.9μs
L3 P49 49_Mamba2ReturnFinalState.py
error —
L3 P50 50_ReLUSelfAttention.py
error —