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Improving performance with custom input VectorSpace #43

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@alexjc alexjc commented May 8, 2015

Some overheads remain, but the Theano part is faster in PyLearn2 than Lasagne.

Closes #26.

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Coverage decreased (-0.1%) to 99.9% when pulling e94832c on profile into f472e11 on master.

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Coverage remained the same at 100.0% when pulling e2f50e8 on profile into f472e11 on master.

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Coverage remained the same at 100.0% when pulling 9d88196 on profile into f472e11 on master.

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Coverage remained the same at 100.0% when pulling d72ccf9 on profile into f472e11 on master.

alexjc added a commit that referenced this pull request May 8, 2015
Improving performance with custom input VectorSpace
@alexjc alexjc merged commit 9365715 into master May 8, 2015
@alexjc alexjc deleted the profile branch May 8, 2015 09:55
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Investigate performance issues on GPU (slower) vs. CPU (faster)
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