Extract multiple features in a single Forward pass
Progress should be reported for each feature blob
No need to manually delete the pointers which are managed by std::vector
Replace the raw pointers with shared_ptr to ensure memory is released
Init google logging
Merge pull request #511 from kloudkl/extract_multiple_features

Extract multiple features in a single Forward pass
add latest CUDA arch to fix invalid device function errors

...on devices of that architecture.
Merge pull request #554 from shelhamer/nvcc-arch-50

Add latest CUDA arch to fix invalid device function errors on such devices
Add parameter for AccuracyLayer in proto.
Incorporate top_k param into AccuracyLayer and check it's value.
Compute top-k accuracy in AccuracyLayer.
Use vectors instead of arrays.
Next LayerParameter proto id
Add unit test for accuracy layer.
Update name of last added param.
Comment-fix.
Merge pull request #531 from flickr/dev-top-k-accuracy

Measure accuracy as top-k (default to top-1)