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Dataset: breastmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 2
[1/1], Acc = 44.2308%
Total Inference Images : 156
Total Acc : 44.2308%
Total Convolution Operation Time Consume : 53.9049(s)
Average Convolution Operation Time Consume : 0.345544(s)
Total Square Activation Operation Time Consume : 9.01208(s)
Average Square Activation Operation Time Consume : 0.0577697(s)
Total Linear Operation Time Consume : 158.825(s)
Average Square Activation Operation Time Consume : 1.01811(s)
Total Time Consume : 231.47(s)
Average Time Consume Per Batch : 231.47(s)
Average Time Consume Per Image : 1.48378(s)
Dataset: breastmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 2
[1/1], Acc = 26.9231%
Total Inference Images : 156
Total Acc : 26.9231%
Total Convolution Operation Time Consume : 189.2(s)
Average Convolution Operation Time Consume : 1.21282(s)
Total Square Activation Operation Time Consume : 45.1557(s)
Average Square Activation Operation Time Consume : 0.28946(s)
Total Linear Operation Time Consume : 684.217(s)
Average Square Activation Operation Time Consume : 4.38601(s)
Total Time Consume : 947.521(s)
Average Time Consume Per Batch : 947.521(s)
Average Time Consume Per Image : 6.07386(s)
Dataset: octmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 4
[1/1], Acc = 27.4%
Total Inference Images : 1000
Total Acc : 27.4%
Total Convolution Operation Time Consume : 55.285(s)
Average Convolution Operation Time Consume : 0.055285(s)
Total Square Activation Operation Time Consume : 10.3467(s)
Average Square Activation Operation Time Consume : 0.0103467(s)
Total Linear Operation Time Consume : 159.894(s)
Average Square Activation Operation Time Consume : 0.159894(s)
Total Time Consume : 236.066(s)
Average Time Consume Per Batch : 236.066(s)
Average Time Consume Per Image : 0.236066(s)
Dataset: octmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 4
[1/1], Acc = 25%
Total Inference Images : 1000
Total Acc : 25%
Total Convolution Operation Time Consume : 191.186(s)
Average Convolution Operation Time Consume : 0.191186(s)
Total Square Activation Operation Time Consume : 49.9989(s)
Average Square Activation Operation Time Consume : 0.0499989(s)
Total Linear Operation Time Consume : 690.949(s)
Average Square Activation Operation Time Consume : 0.690949(s)
Total Time Consume : 962.531(s)
Average Time Consume Per Batch : 962.531(s)
Average Time Consume Per Image : 0.962531(s)
Dataset: organamnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 11
[1/5], Acc = 2.06435%
[2/5], Acc = 4.19057%
[3/5], Acc = 6.35055%
[4/5], Acc = 8.44302%
[5/5], Acc = 9.14614%
Total Inference Images : 17778
Total Acc : 9.14614%
Total Convolution Operation Time Consume : 270.382(s)
Average Convolution Operation Time Consume : 0.0152088(s)
Total Square Activation Operation Time Consume : 47.3288(s)
Average Square Activation Operation Time Consume : 0.00266221(s)
Total Linear Operation Time Consume : 793.319(s)
Average Square Activation Operation Time Consume : 0.0446236(s)
Total Time Consume : 1162.01(s)
Average Time Consume Per Batch : 232.402(s)
Average Time Consume Per Image : 0.0653623(s)
Dataset: organamnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 11
[1/3], Acc = 5.42243%
[2/3], Acc = 10.8111%
[3/3], Acc = 11.6099%
Total Inference Images : 17778
Total Acc : 11.6099%
Total Convolution Operation Time Consume : 565.356(s)
Average Convolution Operation Time Consume : 0.0318009(s)
Total Square Activation Operation Time Consume : 136.194(s)
Average Square Activation Operation Time Consume : 0.00766079(s)
Total Linear Operation Time Consume : 2048.93(s)
Average Square Activation Operation Time Consume : 0.115251(s)
Total Time Consume : 2838.69(s)
Average Time Consume Per Batch : 946.23(s)
Average Time Consume Per Image : 0.159674(s)
Dataset: organcmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 11
[1/3], Acc = 3.48331%
[2/3], Acc = 6.94243%
[3/3], Acc = 7.03919%
Total Inference Images : 8268
Total Acc : 7.03919%
Total Convolution Operation Time Consume : 163.299(s)
Average Convolution Operation Time Consume : 0.0197507(s)
Total Square Activation Operation Time Consume : 29.8125(s)
Average Square Activation Operation Time Consume : 0.00360577(s)
Total Linear Operation Time Consume : 477.618(s)
Average Square Activation Operation Time Consume : 0.057767(s)
Total Time Consume : 702.239(s)
Average Time Consume Per Batch : 234.08(s)
Average Time Consume Per Image : 0.0849346(s)
Dataset: organcmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 11
[1/2], Acc = 8.74456%
[2/2], Acc = 8.85341%
Total Inference Images : 8268
Total Acc : 8.85341%
Total Convolution Operation Time Consume : 377.139(s)
Average Convolution Operation Time Consume : 0.0456144(s)
Total Square Activation Operation Time Consume : 92.8184(s)
Average Square Activation Operation Time Consume : 0.0112262(s)
Total Linear Operation Time Consume : 1380.93(s)
Average Square Activation Operation Time Consume : 0.167021(s)
Total Time Consume : 1909.59(s)
Average Time Consume Per Batch : 954.793(s)
Average Time Consume Per Image : 0.230961(s)
Dataset: organsmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 11
[1/3], Acc = 4.38328%
[2/3], Acc = 8.49473%
[3/3], Acc = 9.04972%
Total Inference Images : 8829
Total Acc : 9.04972%
Total Convolution Operation Time Consume : 162.85(s)
Average Convolution Operation Time Consume : 0.0184449(s)
Total Square Activation Operation Time Consume : 29.1401(s)
Average Square Activation Operation Time Consume : 0.0033005(s)
Total Linear Operation Time Consume : 476.198(s)
Average Square Activation Operation Time Consume : 0.0539357(s)
Total Time Consume : 699.79(s)
Average Time Consume Per Batch : 233.263(s)
Average Time Consume Per Image : 0.0792604(s)
Dataset: organsmnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 11
[1/2], Acc = 4.68909%
[2/2], Acc = 5.06286%
Total Inference Images : 8829
Total Acc : 5.06286%
Total Convolution Operation Time Consume : 377.319(s)
Average Convolution Operation Time Consume : 0.0427363(s)
Total Square Activation Operation Time Consume : 91.9056(s)
Average Square Activation Operation Time Consume : 0.0104095(s)
Total Linear Operation Time Consume : 1370.56(s)
Average Square Activation Operation Time Consume : 0.155234(s)
Total Time Consume : 1898.18(s)
Average Time Consume Per Batch : 949.089(s)
Average Time Consume Per Image : 0.214993(s)
Dataset: pneumoniamnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 2
[1/1], Acc = 52.4038%
Total Inference Images : 624
Total Acc : 52.4038%
Total Convolution Operation Time Consume : 55.9248(s)
Average Convolution Operation Time Consume : 0.089623(s)
Total Square Activation Operation Time Consume : 11.1618(s)
Average Square Activation Operation Time Consume : 0.0178875(s)
Total Linear Operation Time Consume : 159.58(s)
Average Square Activation Operation Time Consume : 0.255737(s)
Total Time Consume : 237.974(s)
Average Time Consume Per Batch : 237.974(s)
Average Time Consume Per Image : 0.381368(s)
Dataset: pneumoniamnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 2
[1/1], Acc = 37.5%
Total Inference Images : 624
Total Acc : 37.5%
Total Convolution Operation Time Consume : 190.787(s)
Average Convolution Operation Time Consume : 0.305748(s)
Total Square Activation Operation Time Consume : 47.1136(s)
Average Square Activation Operation Time Consume : 0.0755025(s)
Total Linear Operation Time Consume : 680.388(s)
Average Square Activation Operation Time Consume : 1.09036(s)
Total Time Consume : 949.964(s)
Average Time Consume Per Batch : 949.964(s)
Average Time Consume Per Image : 1.52238(s)
Dataset: tissuemnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 8
[1/12], Acc = 1.53342%
[2/12], Acc = 3.0753%
[3/12], Acc = 4.59391%
[4/12], Acc = 6.14848%
[5/12], Acc = 7.70093%
[6/12], Acc = 9.24069%
[7/12], Acc = 10.7783%
[8/12], Acc = 12.3794%
[9/12], Acc = 13.9023%
[10/12], Acc = 15.4082%
[11/12], Acc = 16.9057%
[12/12], Acc = 17.7665%
Total Inference Images : 47280
Total Acc : 17.7665%
Total Convolution Operation Time Consume : 645.995(s)
Average Convolution Operation Time Consume : 0.0136632(s)
Total Square Activation Operation Time Consume : 109.274(s)
Average Square Activation Operation Time Consume : 0.00231121(s)
Total Linear Operation Time Consume : 1908.93(s)
Average Square Activation Operation Time Consume : 0.040375(s)
Total Time Consume : 2785.37(s)
Average Time Consume Per Batch : 232.114(s)
Average Time Consume Per Image : 0.0589122(s)
Dataset: tissuemnist
Model Information:
conv: In channel = 1; Out Channel = 5; Windows = 5
; Padding = 2; Stride = 2
linear1: In Channel = 980; Out Channel = 100
linear2: In Channel = 100; Out Channel = 8
[1/6], Acc = 4.3253%
[2/6], Acc = 8.52369%
[3/6], Acc = 12.7453%
[4/6], Acc = 16.9734%
[5/6], Acc = 21.1612%
[6/6], Acc = 24.4247%
Total Inference Images : 47280
Total Acc : 24.4247%
Total Convolution Operation Time Consume : 1134.77(s)
Average Convolution Operation Time Consume : 0.024001(s)
Total Square Activation Operation Time Consume : 270.15(s)
Average Square Activation Operation Time Consume : 0.00571383(s)
Total Linear Operation Time Consume : 4108.3(s)
Average Square Activation Operation Time Consume : 0.0868931(s)
Total Time Consume : 5690.01(s)
Average Time Consume Per Batch : 948.334(s)
Average Time Consume Per Image : 0.120347(s)