Upgrade to a better CUDA paradigm #114
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… slowdown when using CUDA.
…s were found, then don't bother initializing CUDA contexts
Added binOp that uses CUDA (name is still incorrect)
…tandable Cleaned up the logging stuff as well so it doesn't make so much noise
… for making the VM only store Memory types
…of an input node, assume that it will be required at the end of the program. Updated the op_math_tests fixed up all the issues with elemBinOp
…start optimizing CUDA funcs
… sharing memories
…or finetuning while the batching algorithms are being written Added basic rudimentary block/grid calculations. Could definitely use a lot of improvements there
…iple blocks and grids
lispMachine now uses CUDA... somewhat wrongly (pointer values get overwritten)
The charRNN example program STIL randomly segfaults.
renamed unamangedMem() to IsManuallyManaged(). Renamed everything related to unmanagedMem to manuallyManagedMem
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Both
tapeMachineandlispMachinenow can use CUDA ops!