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[New feature] With cudnn backend 9.2.0 and above, `Graph::check_support`
can determine support check for runtime engines without invoking the
nvrtc compiler. This allows users to check the support surface of cudnn
without invoking the nvrtc compilation.
[New feature] Python pip wheel now contains the necessary c++
development headers.
[New feature] Sliding window attention is now supported as an attribute
to the sdpa forward and bprop node. Usage:
`sdpa_attributes.set_sliding_window_length(window_length)`
[New feature] Bottom right aligned causal masking is now supported as an
attribute to the sdpa forward and bprop node. Usage:
`sdpa_attributes.use_causal_mask_bottom_right(true)`
[New feature] SDPA bprop attributes can choose deterministic algorithm
using the `use_deterministic_algorithm` API.
[New feature] Allow users to filter candidate execution plans of graph
by its shared memory usage in cudnn 9.2.0 and later.
[Bug fix] A runtime error if chosen execution plan candidate is
incorrectly set in the backend has been fixed. This would happen when
`check_support` does not correctly filter by the workspace size.
[Bug fix] selecting/deselecting by behavior and numerical notes has now
been fixed and works as intended.
[Debugging] A new tool for easy reproduction of a failure using the json
representation of the graph can be found [here](tools/json_reproducer).
[Samples] Restructured the cpp samples into categories for easier
navigation.
[Samples] Added a sample to showcase how different plans can be built in
parallel in separate threads.
[Compilation enhancement] Added a new macro
`CUDNN_FRONTEND_SKIP_NLOHMANN_JSON` as compilation flag to not have
nlohman::json as compilation dependency. Users lose access to certain
API functions like `print`, `key`, `serialize`, `deserialzie` that
depend on the library.
[Enhancement] Serialization of resample operation is now supported.
[Enhancement] Bug template has been added for new github issues
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This was mistakenly added during #41