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December 17, 2018 23:54
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========== Memory Information ========== | |
----- Version Information ----- | |
Deeplearning4j Version 1.0.0-beta3 | |
Deeplearning4j CUDA <not present> | |
----- System Information ----- | |
Operating System Microsoft Windows 10 | |
CPU Intel(R) Core(TM) i7-5960X CPU @ 3.00GHz | |
CPU Cores - Physical 8 | |
CPU Cores - Logical 16 | |
Total System Memory 31.89 GB (34246447104) | |
Number of GPUs Detected 1 | |
Name CC Total Memory Used Memory Free Memory | |
TITAN X (Pascal) 6.1 12 GB (12884901888) 11.16 GB (11979574477) 863.39 MB (905327411) | |
----- ND4J Environment Information ----- | |
Data Type FLOAT | |
backend CUDA | |
blas.vendor CUBLAS | |
os Windows 10 | |
----- Memory Configuration ----- | |
JVM Memory: XMX 7.09 GB (7611613184) | |
JVM Memory: current 856.50 MB (898105344) | |
JavaCPP Memory: Max Bytes 7.09 GB (7611613184) | |
JavaCPP Memory: Max Physical 14.18 GB (15223226368) | |
JavaCPP Memory: Current Bytes 65.36 KB (66924) | |
JavaCPP Memory: Current Physical 9.70 GB (10419589120) | |
Periodic GC Enabled true | |
Periodic GC Frequency 100 ms | |
----- Workspace Information ----- | |
Workspaces: # for current thread 4 | |
Current thread workspaces: | |
Name State Size # Cycles | |
WS_LAYER_WORKING_MEM CLOSED 3.71 GB (3982994964) 430 | |
WS_ALL_LAYERS_ACT CLOSED 2.01 GB (2161293440) 20 | |
WS_LAYER_ACT_0 CLOSED 199.92 MB (209631313) 110 | |
WS_LAYER_ACT_1 CLOSED 199.92 MB (209631313) 100 | |
Workspaces total size 6.11 GB (6563551030) | |
----- Network Information ----- | |
Network # Parameters 135079944 | |
Parameter Memory 515.29 MB (540319776) | |
Parameter Gradients Memory 515.29 MB (540319776) | |
Updater Number of Elements 270159888 | |
Updater Memory 1.01 GB (1080639552) | |
Updater Classes: | |
org.nd4j.linalg.learning.AdaDeltaUpdater | |
Params + Gradient + Updater Memory 1.51 GB (1620959328) | |
Iteration Count 10 | |
Epoch Count 1 | |
Backprop Type Standard | |
Workspace Mode: Training ENABLED | |
Workspace Mode: Inference ENABLED | |
Number of Layers 21 | |
Layer Counts | |
ConvolutionLayer 13 | |
DenseLayer 2 | |
OutputLayer 1 | |
SubsamplingLayer 5 | |
Layer Parameter Breakdown | |
Idx Name Layer Type Layer # Parameters Layer Parameter Memory | |
1 0 ConvolutionLayer 1792 7 KB (7168) | |
2 1 ConvolutionLayer 36928 144.25 KB (147712) | |
3 2 SubsamplingLayer 0 0 B | |
4 3 ConvolutionLayer 73856 288.50 KB (295424) | |
5 4 ConvolutionLayer 147584 576.50 KB (590336) | |
6 5 SubsamplingLayer 0 0 B | |
7 6 ConvolutionLayer 295168 1.13 MB (1180672) | |
8 7 ConvolutionLayer 590080 2.25 MB (2360320) | |
9 8 ConvolutionLayer 590080 2.25 MB (2360320) | |
10 9 SubsamplingLayer 0 0 B | |
11 10 ConvolutionLayer 1180160 4.50 MB (4720640) | |
12 11 ConvolutionLayer 2359808 9.00 MB (9439232) | |
13 12 ConvolutionLayer 2359808 9.00 MB (9439232) | |
14 13 SubsamplingLayer 0 0 B | |
15 14 ConvolutionLayer 2359808 9.00 MB (9439232) | |
16 15 ConvolutionLayer 2359808 9.00 MB (9439232) | |
17 16 ConvolutionLayer 2359808 9.00 MB (9439232) | |
18 17 SubsamplingLayer 0 0 B | |
19 18 DenseLayer 102764544 392.02 MB (411058176) | |
20 19 DenseLayer 16781312 64.02 MB (67125248) | |
21 20 OutputLayer 819400 3.13 MB (3277600) | |
----- Layer Helpers - Memory Use ----- | |
Total Helper Count 0 | |
Helper Count w/ Memory 0 | |
Total Helper Persistent Memory Use 0 B | |
----- Network Activations: Inferred Activation Shapes ----- | |
Current Minibatch Size 16 | |
Current Input Shape (Input 0) [16, 3, 224, 224] | |
Idx Name Layer Type Activations Type Activations Shape # Elements Memory | |
0 in InputVertex InputTypeConvolutional(h=224,w=224,c=3) [16, 3, 224, 224] 2408448 9.19 MB (9633792) | |
1 0 ConvolutionLayer InputTypeConvolutional(h=224,w=224,c=64) [16, 64, 224, 224] 51380224 196 MB (205520896) | |
2 1 ConvolutionLayer InputTypeConvolutional(h=224,w=224,c=64) [16, 64, 224, 224] 51380224 196 MB (205520896) | |
3 2 SubsamplingLayer InputTypeConvolutional(h=112,w=112,c=64) [16, 64, 112, 112] 12845056 49 MB (51380224) | |
4 3 ConvolutionLayer InputTypeConvolutional(h=112,w=112,c=128) [16, 128, 112, 112] 25690112 98 MB (102760448) | |
5 4 ConvolutionLayer InputTypeConvolutional(h=112,w=112,c=128) [16, 128, 112, 112] 25690112 98 MB (102760448) | |
6 5 SubsamplingLayer InputTypeConvolutional(h=56,w=56,c=128) [16, 128, 56, 56] 6422528 24.50 MB (25690112) | |
7 6 ConvolutionLayer InputTypeConvolutional(h=56,w=56,c=256) [16, 256, 56, 56] 12845056 49 MB (51380224) | |
8 7 ConvolutionLayer InputTypeConvolutional(h=56,w=56,c=256) [16, 256, 56, 56] 12845056 49 MB (51380224) | |
9 8 ConvolutionLayer InputTypeConvolutional(h=56,w=56,c=256) [16, 256, 56, 56] 12845056 49 MB (51380224) | |
10 9 SubsamplingLayer InputTypeConvolutional(h=28,w=28,c=256) [16, 256, 28, 28] 3211264 12.25 MB (12845056) | |
11 10 ConvolutionLayer InputTypeConvolutional(h=28,w=28,c=512) [16, 512, 28, 28] 6422528 24.50 MB (25690112) | |
12 11 ConvolutionLayer InputTypeConvolutional(h=28,w=28,c=512) [16, 512, 28, 28] 6422528 24.50 MB (25690112) | |
13 12 ConvolutionLayer InputTypeConvolutional(h=28,w=28,c=512) [16, 512, 28, 28] 6422528 24.50 MB (25690112) | |
14 13 SubsamplingLayer InputTypeConvolutional(h=14,w=14,c=512) [16, 512, 14, 14] 1605632 6.13 MB (6422528) | |
15 14 ConvolutionLayer InputTypeConvolutional(h=14,w=14,c=512) [16, 512, 14, 14] 1605632 6.13 MB (6422528) | |
16 15 ConvolutionLayer InputTypeConvolutional(h=14,w=14,c=512) [16, 512, 14, 14] 1605632 6.13 MB (6422528) | |
17 16 ConvolutionLayer InputTypeConvolutional(h=14,w=14,c=512) [16, 512, 14, 14] 1605632 6.13 MB (6422528) | |
18 17 SubsamplingLayer InputTypeConvolutional(h=7,w=7,c=512) [16, 512, 7, 7] 401408 1.53 MB (1605632) | |
19 18 DenseLayer InputTypeFeedForward(4096) [16, 4096] 65536 256 KB (262144) | |
20 19 DenseLayer InputTypeFeedForward(4096) [16, 4096] 65536 256 KB (262144) | |
21 20 OutputLayer InputTypeFeedForward(200) [16, 200] 3200 12.50 KB (12800) | |
Total Activations Memory 929.98 MB (975155712) | |
Total Activation Gradient Memory 929.97 MB (975142912) | |
----- Network Training Listeners ----- | |
Number of Listeners 1 | |
Listener 0 org.deeplearning4j.optimize.listeners.PerformanceListener@68b6f0d6 |
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