Our great sponsors
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
All ops computed in deep learning frameworks are translated into CUDA kernel functions on the GPU, and Softmax operations are no exception. Softmax is a widely used op in most networks, and the efficiency of its CUDA kernel implementation can affect the final training speed of many networks. So how can an efficient Softmax CUDA Kernel be implemented?
Code:https://github.com/Oneflow-Inc/oneflow
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.