Fix compatibility checks for 18.04 container #4
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rohithkrn
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May 8, 2020
* fix dropout scaling from p to 1/(1-p) (NVIDIA#816) Co-authored-by: Sukru Eryilmaz <[email protected]> * Improvements to apex.mlp (NVIDIA#804) * update fused bias relu backward kernel * adding support for not require first layer dgrad * fix bug: wrong layer in requires grad * add infrastructure for optional bias and activation, currently only support no bias and no relu * make bias and relu optional separately * add sigmoid activation option * enable wider load/store for multi_tensor_apply kernels (NVIDIA#763) * modify MTA axpby for wider load/store * Make scale/axpby/l2/adam/lamb multi_tensor uses wider load * Changes to make xentropysoftmax load/store vectorized when possible: (NVIDIA#725) * Changes to make xentropysoftmax load/store vectorized when possible: Increase default ILP so that each thread handle 16 Bytes data in one step Make thread load/store longest vector possible Make unroll case handle adjacent data instead of strided, so same order compare to vector case * Add shift for not aligned case. Remove less than 16 bytes aligned access Co-authored-by: Burc Eryilmaz <[email protected]> Co-authored-by: Sukru Eryilmaz <[email protected]> Co-authored-by: Deyu Fu <[email protected]>
thorjohnsen
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Sep 15, 2020
Accept custom (layer type:param name) to include in sparse_parameter …
ptrblck
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Jul 17, 2021
* Added support for fused ReLU and dropout into transducer joint * Reorganized code selection path in transducer joint fwd * Added support for fused ReLU+dropout into transducer joint * Vectorize transducer loss backward with fused softmax (#3) * Nanz/transducer loss (#4) * Vectorize transducer loss backward with fused softmax * Added a predicate to avoid potential IMA * Nanz/transducer loss (#5) * Vectorize transducer loss backward with fused softmax * Added a predicate to avoid potentional IMA * Added more predicates to avoid IMAs * Updated documentations for newly added features. * Fixed a error in transducer.py
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Our 18.04 container is weird -- kind of an intermediate state of tensor / variable merge. This handles it better.