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log.txt
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{
optnet_optimize : true
generate_graph : false
learningRate : 0.02
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
==> loading data
==> configuring model
nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> (10) -> (11) -> output]
(1): cudnn.SpatialConvolution(3 -> 32, 3x3, 1,1, 1,1) without bias
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> (10) -> output]
(1): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output]
(1): cudnn.SpatialConvolution(32 -> 128, 3x3, 1,1, 1,1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(128 -> 64, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
}
... -> output
}
(2): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> output]
(1): cudnn.SpatialConvolution(96 -> 64, 1x1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(64 -> 256, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
(7): cudnn.SpatialConvolution(256 -> 128, 3x3, 1,1, 1,1)
(8): cudnn.SpatialBatchNormalization
(9): cudnn.ReLU
}
... -> output
}
(3): cudnn.SpatialConvolution(224 -> 64, 1x1)
(4): cudnn.SpatialBatchNormalization
(5): cudnn.ReLU
(6): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output]
(1): cudnn.SpatialConvolution(64 -> 256, 3x3, 1,1, 1,1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(256 -> 128, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
}
... -> output
}
(7): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> output]
(1): cudnn.SpatialConvolution(192 -> 128, 1x1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(128 -> 512, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
(7): cudnn.SpatialConvolution(512 -> 256, 3x3, 1,1, 1,1)
(8): cudnn.SpatialBatchNormalization
(9): cudnn.ReLU
}
... -> output
}
(8): cudnn.SpatialConvolution(448 -> 64, 1x1)
(9): cudnn.SpatialBatchNormalization
(10): cudnn.ReLU
}
(5): cudnn.SpatialMaxPooling(3x3, 2,2)
(6): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> (10) -> output]
(1): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output]
(1): cudnn.SpatialConvolution(64 -> 256, 3x3, 1,1, 1,1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(256 -> 128, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
}
... -> output
}
(2): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> output]
(1): cudnn.SpatialConvolution(192 -> 128, 1x1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(128 -> 512, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
(7): cudnn.SpatialConvolution(512 -> 256, 3x3, 1,1, 1,1)
(8): cudnn.SpatialBatchNormalization
(9): cudnn.ReLU
}
... -> output
}
(3): cudnn.SpatialConvolution(448 -> 128, 1x1)
(4): cudnn.SpatialBatchNormalization
(5): cudnn.ReLU
(6): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output]
(1): cudnn.SpatialConvolution(128 -> 512, 3x3, 1,1, 1,1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(512 -> 256, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
}
... -> output
}
(7): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> output]
(1): cudnn.SpatialConvolution(384 -> 256, 1x1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(256 -> 1024, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
(7): cudnn.SpatialConvolution(1024 -> 512, 3x3, 1,1, 1,1)
(8): cudnn.SpatialBatchNormalization
(9): cudnn.ReLU
}
... -> output
}
(8): cudnn.SpatialConvolution(896 -> 128, 1x1)
(9): cudnn.SpatialBatchNormalization
(10): cudnn.ReLU
}
(7): cudnn.SpatialMaxPooling(3x3, 2,2)
(8): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> (10) -> output]
(1): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output]
(1): cudnn.SpatialConvolution(128 -> 512, 3x3, 1,1, 1,1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(512 -> 256, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
}
... -> output
}
(2): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> output]
(1): cudnn.SpatialConvolution(384 -> 256, 1x1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(256 -> 1024, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
(7): cudnn.SpatialConvolution(1024 -> 512, 3x3, 1,1, 1,1)
(8): cudnn.SpatialBatchNormalization
(9): cudnn.ReLU
}
... -> output
}
(3): cudnn.SpatialConvolution(896 -> 256, 1x1)
(4): cudnn.SpatialBatchNormalization
(5): cudnn.ReLU
(6): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output]
(1): cudnn.SpatialConvolution(256 -> 1024, 3x3, 1,1, 1,1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(1024 -> 512, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
}
... -> output
}
(7): nn.Concat {
input
|`-> (1): nn.Identity
|`-> (2): nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> output]
(1): cudnn.SpatialConvolution(768 -> 512, 1x1)
(2): cudnn.SpatialBatchNormalization
(3): cudnn.ReLU
(4): cudnn.SpatialConvolution(512 -> 2048, 3x3, 1,1, 1,1)
(5): cudnn.SpatialBatchNormalization
(6): cudnn.ReLU
(7): cudnn.SpatialConvolution(2048 -> 1024, 3x3, 1,1, 1,1)
(8): cudnn.SpatialBatchNormalization
(9): cudnn.ReLU
}
... -> output
}
(8): cudnn.SpatialConvolution(1792 -> 256, 1x1)
(9): cudnn.SpatialBatchNormalization
(10): cudnn.ReLU
}
(9): cudnn.VolumetricAveragePooling
(10): nn.View(-1)
(11): nn.Linear(256 -> 100)
}
Network has 37 convolutions
Skipping memory optimization. Network is already optimized for training mode.
Will save at logs/load_59251794
==> online epoch # 1 [batchSize = 64]
{
epoch : 1
test_acc : 69.43
loss : 0.2852416879637
train_acc : 91.21318822023
lr : 0.01966
train_time : 217.08640599251
test_time : 15.168113946915
n_parameters : 23874564
train_loss : 0.2852416879637
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.01966
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.2852416879637,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":69.43,"init_value":10,"train_acc":91.21318822023,"sequences":2,"epoch_step":1,"train_time":217.08640599251,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":1,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.01966,"generate_graph":false,"learningRate":0.01966,"train_loss":0.2852416879637,"randomcrop_type":"reflection","test_time":15.168113946915,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 2 [batchSize = 64]
{
epoch : 2
test_acc : 73.08
loss : 0.18970233768644
train_acc : 94.206145966709
lr : 0.01932272
train_time : 212.30852818489
test_time : 14.240943908691
n_parameters : 23874564
train_loss : 0.18970233768644
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.01932272
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.18970233768644,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":73.08,"init_value":10,"train_acc":94.206145966709,"sequences":2,"epoch_step":1,"train_time":212.30852818489,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":2,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.01932272,"generate_graph":false,"learningRate":0.01932272,"train_loss":0.18970233768644,"randomcrop_type":"reflection","test_time":14.240943908691,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 3 [batchSize = 64]
{
epoch : 3
test_acc : 72.91
loss : 0.12705376891183
train_acc : 96.446862996159
lr : 0.01898813824
train_time : 214.96499109268
test_time : 14.155406951904
n_parameters : 23874564
train_loss : 0.12705376891183
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.01898813824
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.12705376891183,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":72.91,"init_value":10,"train_acc":96.446862996159,"sequences":2,"epoch_step":1,"train_time":214.96499109268,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":3,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.01898813824,"generate_graph":false,"learningRate":0.01898813824,"train_loss":0.12705376891183,"randomcrop_type":"reflection","test_time":14.155406951904,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 4 [batchSize = 64]
{
epoch : 4
test_acc : 73.83
loss : 0.10051002879073
train_acc : 97.349151728553
lr : 0.01865623313408
train_time : 217.71936988831
test_time : 15.417862892151
n_parameters : 23874564
train_loss : 0.10051002879073
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.01865623313408
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.10051002879073,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":73.83,"init_value":10,"train_acc":97.349151728553,"sequences":2,"epoch_step":1,"train_time":217.71936988831,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":4,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.01865623313408,"generate_graph":false,"learningRate":0.01865623313408,"train_loss":0.10051002879073,"randomcrop_type":"reflection","test_time":15.417862892151,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 5 [batchSize = 64]
{
epoch : 5
test_acc : 69.88
loss : 0.37606478133328
train_acc : 88.358274647887
lr : 0.018326983269007
train_time : 213.21268200874
test_time : 13.886549949646
n_parameters : 23874564
train_loss : 0.37606478133328
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.018326983269007
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.37606478133328,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":69.88,"init_value":10,"train_acc":88.358274647887,"sequences":2,"epoch_step":1,"train_time":213.21268200874,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":5,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.018326983269007,"generate_graph":false,"learningRate":0.018326983269007,"train_loss":0.37606478133328,"randomcrop_type":"reflection","test_time":13.886549949646,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 6 [batchSize = 64]
{
epoch : 6
test_acc : 72.4
loss : 0.21239689147045
train_acc : 93.836027528809
lr : 0.018000367402855
train_time : 208.58218884468
test_time : 13.967440128326
n_parameters : 23874564
train_loss : 0.21239689147045
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.018000367402855
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.21239689147045,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":72.4,"init_value":10,"train_acc":93.836027528809,"sequences":2,"epoch_step":1,"train_time":208.58218884468,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":6,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.018000367402855,"generate_graph":false,"learningRate":0.018000367402855,"train_loss":0.21239689147045,"randomcrop_type":"reflection","test_time":13.967440128326,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 7 [batchSize = 64]
{
epoch : 7
test_acc : 72.12
loss : 0.14328808554003
train_acc : 95.97871318822
lr : 0.017676364463632
train_time : 208.69447493553
test_time : 13.915721893311
n_parameters : 23874564
train_loss : 0.14328808554003
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.017676364463632
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.14328808554003,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":72.12,"init_value":10,"train_acc":95.97871318822,"sequences":2,"epoch_step":1,"train_time":208.69447493553,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":7,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.017676364463632,"generate_graph":false,"learningRate":0.017676364463632,"train_loss":0.14328808554003,"randomcrop_type":"reflection","test_time":13.915721893311,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 8 [batchSize = 64]
{
epoch : 8
test_acc : 72.76
loss : 0.11767639775931
train_acc : 96.899007682458
lr : 0.017354953547923
train_time : 208.71616601944
test_time : 13.987716913223
n_parameters : 23874564
train_loss : 0.11767639775931
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.017354953547923
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.11767639775931,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":72.76,"init_value":10,"train_acc":96.899007682458,"sequences":2,"epoch_step":1,"train_time":208.71616601944,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":8,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.017354953547923,"generate_graph":false,"learningRate":0.017354953547923,"train_loss":0.11767639775931,"randomcrop_type":"reflection","test_time":13.987716913223,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 9 [batchSize = 64]
{
epoch : 9
test_acc : 69.79
loss : 0.29365455910621
train_acc : 91.125160051216
lr : 0.01703611391954
train_time : 210.18703103065
test_time : 14.032968997955
n_parameters : 23874564
train_loss : 0.29365455910621
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.01703611391954
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.29365455910621,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":69.79,"init_value":10,"train_acc":91.125160051216,"sequences":2,"epoch_step":1,"train_time":210.18703103065,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":9,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.01703611391954,"generate_graph":false,"learningRate":0.01703611391954,"train_loss":0.29365455910621,"randomcrop_type":"reflection","test_time":14.032968997955,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 10 [batchSize = 64]
{
epoch : 10
test_acc : 72.24
loss : 0.17472302715238
train_acc : 94.930377720871
lr : 0.016719825008184
train_time : 210.24548387527
test_time : 14.048147916794
n_parameters : 23874564
train_loss : 0.17472302715238
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.016719825008184
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.17472302715238,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":72.24,"init_value":10,"train_acc":94.930377720871,"sequences":2,"epoch_step":1,"train_time":210.24548387527,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":10,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.016719825008184,"generate_graph":false,"learningRate":0.016719825008184,"train_loss":0.17472302715238,"randomcrop_type":"reflection","test_time":14.048147916794,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 11 [batchSize = 64]
{
epoch : 11
test_acc : 73.53
loss : 0.1087751671214
train_acc : 97.141085147247
lr : 0.016406066408118
train_time : 210.25364899635
test_time : 14.275574922562
n_parameters : 23874564
train_loss : 0.1087751671214
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.016406066408118
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.1087751671214,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":73.53,"init_value":10,"train_acc":97.141085147247,"sequences":2,"epoch_step":1,"train_time":210.25364899635,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":11,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.016406066408118,"generate_graph":false,"learningRate":0.016406066408118,"train_loss":0.1087751671214,"randomcrop_type":"reflection","test_time":14.275574922562,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 12 [batchSize = 64]
{
epoch : 12
test_acc : 73.72
loss : 0.076997885983747
train_acc : 98.165412932138
lr : 0.016094817876853
train_time : 212.32557415962
test_time : 13.9605281353
n_parameters : 23874564
train_loss : 0.076997885983747
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.016094817876853
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.076997885983747,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":73.72,"init_value":10,"train_acc":98.165412932138,"sequences":2,"epoch_step":1,"train_time":212.32557415962,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":12,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.016094817876853,"generate_graph":false,"learningRate":0.016094817876853,"train_loss":0.076997885983747,"randomcrop_type":"reflection","test_time":13.9605281353,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 13 [batchSize = 64]
{
epoch : 13
test_acc : 73.91
loss : 0.068277717266284
train_acc : 98.44150128041
lr : 0.015786059333838
train_time : 210.84329819679
test_time : 14.196505069733
n_parameters : 23874564
train_loss : 0.068277717266284
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.015786059333838
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.068277717266284,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":73.91,"init_value":10,"train_acc":98.44150128041,"sequences":2,"epoch_step":1,"train_time":210.84329819679,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":13,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.015786059333838,"generate_graph":false,"learningRate":0.015786059333838,"train_loss":0.068277717266284,"randomcrop_type":"reflection","test_time":14.196505069733,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 14 [batchSize = 64]
{
epoch : 14
test_acc : 73.65
loss : 0.051801722568296
train_acc : 98.88564340589
lr : 0.015479770859168
train_time : 210.82946300507
test_time : 14.060109138489
n_parameters : 23874564
train_loss : 0.051801722568296
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.015479770859168
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.051801722568296,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":73.65,"init_value":10,"train_acc":98.88564340589,"sequences":2,"epoch_step":1,"train_time":210.82946300507,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":14,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.015479770859168,"generate_graph":false,"learningRate":0.015479770859168,"train_loss":0.051801722568296,"randomcrop_type":"reflection","test_time":14.060109138489,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 15 [batchSize = 64]
{
epoch : 15
test_acc : 74.47
loss : 0.056419285498416
train_acc : 98.819622279129
lr : 0.015175932692294
train_time : 212.25732588768
test_time : 14.324848890305
n_parameters : 23874564
train_loss : 0.056419285498416
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.015175932692294
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.056419285498416,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":74.47,"init_value":10,"train_acc":98.819622279129,"sequences":2,"epoch_step":1,"train_time":212.25732588768,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":15,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.015175932692294,"generate_graph":false,"learningRate":0.015175932692294,"train_loss":0.056419285498416,"randomcrop_type":"reflection","test_time":14.324848890305,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 16 [batchSize = 64]
{
epoch : 16
test_acc : 69.32
loss : 0.38793406441865
train_acc : 88.288252240717
lr : 0.014874525230756
train_time : 209.52756619453
test_time : 13.94410610199
n_parameters : 23874564
train_loss : 0.38793406441865
}
{
optnet_optimize : true
num_classes : 100
generate_graph : false
learningRate : 0.014874525230756
init_value : 10
randomcrop : 4
sequences : 2
epoch_step : 1
randomcrop_type : "reflection"
learningRateDecayRatio : 0.992
model : "load"
save : "logs/load_59251794"
dampening : 0
weightDecay : 0.0003
shortcutType : "A"
nesterov : true
cudnn_deterministic : false
depth : 2
nGPU : 1
multiply_input_factor : 1
dataset : "./datasets/cifar100_combined.t7"
max_epoch : 1500
momentum : 0.93
optimMethod : "sgd"
widen_factor : 1
hflip : true
imageSize : 32
dropout : 0
learningRateDecay : 0.00018
data_type : "torch.CudaTensor"
batchSize : 64
}
json_stats: {"optnet_optimize":true,"loss":0.38793406441865,"randomcrop":4,"batchSize":64,"data_type":"torch.CudaTensor","model":"load","nesterov":true,"nGPU":1,"multiply_input_factor":1,"dataset":".\/datasets\/cifar100_combined.t7","momentum":0.93,"optimMethod":"sgd","dropout":0,"weightDecay":0.0003,"test_acc":69.32,"init_value":10,"train_acc":88.288252240717,"sequences":2,"epoch_step":1,"train_time":209.52756619453,"learningRateDecayRatio":0.992,"dampening":0,"learningRateDecay":0.00018,"max_epoch":1500,"epoch":16,"imageSize":32,"depth":2,"hflip":true,"widen_factor":1,"num_classes":100,"save":"logs\/load_59251794","lr":0.014874525230756,"generate_graph":false,"learningRate":0.014874525230756,"train_loss":0.38793406441865,"randomcrop_type":"reflection","test_time":13.94410610199,"n_parameters":23874564,"cudnn_deterministic":false,"shortcutType":"A"}
==> online epoch # 17 [batchSize = 64]
{
epoch : 17