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older-changes.md

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Older changes

  • 10th August:
    • Improve error message when out of memory, ie will say it ran out of memory, rather than say 'c++ exception' now, in many common cases
    • SpatialMaxPooling can now handle pooling size and stride are different, as long as half the pooling size is no more than stride
    • Added SpatialAveragePooling for case where input size equals filter size, or filter size equals stride size
  • 22nd July:
    • Performance improvements in underlying cltorch mean that times for char-rnn are now around 2-3 times faster on NVIDIA and AMD GPUs
  • 6th July:
    • lots of new activations added: Sqrt, Square, Exp, Abs, LogSigmoid, HardTanh (provided by Sergey Zagoruyko)
    • SpatialMaxPooling:
      • added implicit floor max pooling (provided by Sergey)
      • added 3d forward (from Sergey)
    • added tests from cunn (thank you Sergey)
    • bug fixes:
      • SpatialConvolutionMM updated to match current nn (Sergey)
      • fixed bug in ReLU for in-place forward
  • 27th June:
    • mild perf improvement to LogSoftMax layer
    • removed FullyConnected for now
    • mild perf improvement to Narrow layer
    • huge perf improvement :-) Please update to latest version of cltorch (should be at least commit 2f1e3e758fb or later)
  • 26th June:
    • fixed bug in Sigmoid, which wasnt resizing correctly
  • 25th June:
    • added tests for CMulTable and CAddTable, which pass
    • added test for Narrow, which passes
    • fix bug in cmakelists.txt, which meant that installation didnt work (it ran ok for me, so I didnt notice...)
    • Dropout working now
  • 24th June:
    • Added ClassNLLCriterion layer (and unit tests for this)
  • 23rd June:
    • Added LogSoftMax layer (and unit test for this)
  • 22nd June:
    • Checked that SpatialConvolutionMM gives same results using clnn, compared with cunn
    • Checked that SpatialMaxPooling gives same results using clnn, compared with nn
    • Added ReLU, which was already marked as added but ... wasnt :-P but now is :-) )
  • 21st June:
    • Got SpatialConvolutionMM and SpatialMaxPooling running
    • Ran Soumith benchmarks on SpatialConvolutionMM, for clnn and cunn, on NVidia 940M