NVIDIA/cudnn-frontend v1.6.1

cudnn FE 1.6.1 release

on GitHub

Bug fix

• Fixed an issue where custom dropout mask was not correctly applied.
• Added -fvisibility=hidden for the pip wheels generated to avoid symbol conflicts with other modules that use cudnn frontend.
• Fixed an issue in sdpa operation which when deserialized will lead to numerical mismatches.
• Fixed an issue in sdpa fp8 fprop operation (in inference mode).

Samples

• Added a new sample to showcase how a custom dropout mask can be applied to a sdpa operation.
• Added a sample to shocase convolutions on large (c * d * h * w > 2 **31) tensors.