Instructions to use Motif-Technologies/activation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use Motif-Technologies/activation with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("Motif-Technologies/activation", version=1) - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix fused add rms norm (#4)
TaehyunKim +1: TaehyunKimMotif
Unverified signature* make fused add rms norm return 2 outputs * add builds * add plot --------- Co-authored-by: taehyun <taehyun.kim@motiftech.io>a1e5ca8
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Add fusion (#3)
TaehyunKim +1: TaehyunKimMotif
Unverified signature* vectorize and optimized block reduce * add benchmark test (w/o readme update) * implemented fused_mul_poly_norm Signed-off-by: taehyun <taehyun.kim@motiftech.io> * add_rms_norm added * deleted backward pass on fused add rms norm, split test and benchmarks Signed-off-by: taehyun <taehyun.kim@motiftech.io> * refactored benchmarks * add readme * fix readme * add build * fix readme * fix readme2 * add mi250 results * highlight used our kernel for baseline in fused performance * applied yapf --------- Signed-off-by: taehyun <taehyun.kim@motiftech.io> Co-authored-by: taehyun <taehyun.kim@motiftech.io>e5e2eeb