Enable shared serialization in Torch #441
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This allows passing tensors between threads by reference. This speeds up training for all models, particulary when data are comparatively large v.s. compute time. Alexnet on CIFAR10 (2 epochs): 10m35s -> 9m28s GoogleNet on CIFAR10 (1 epoch): 45m5s -> 44m52s LeNet on MNIST (30 epochs): 2m17s -> 2m15s
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Chipping away at #339 |
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LGTM |
lukeyeager
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Nov 30, 2015
Enable shared serialization in Torch
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This allows passing tensors between threads by
reference. This speeds up training for all models,
particulary when data are comparatively large
v.s. compute time.
Alexnet on CIFAR10 (2 epochs): 10m35s -> 9m28s
GoogleNet on CIFAR10 (1 epoch): 45m5s -> 44m52s
LeNet on MNIST (30 epochs): 2m17s -> 2m15s