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Optimized atan2, _softmax, cat, clamp, full, relu, remainder, permute_copy_out ops and updates to use memory_allocator #7567
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Adding mean and where ops optimized on HiFi
* adding pow, remainder, minimum, maximum operators * adding pow, remainder, minimum, maximum operators
Adding quantized linear optimized versions for int8 and uint8
* Adding cat, full, permute_copy and relu ops (pytorch#34) * Adding cat, full, permute_copy * updating relu wrt new ref (pytorch#36) * Temporary memory allocation, replacing mallocs (pytorch#38) * Integrated temporary mem alloc functionality in place of malloc * Namespace related changes * Cleanup the main application * Adding atan2, softmax, clamp and remainder ops (pytorch#37) * Replaced malloc with temp_memory_allocator --------- Co-authored-by: nishpoonia <94543206+nishpoonia@users.noreply.github.com> Co-authored-by: Rushi-cad <gherderu@cadence.com>
* adding ET_KERNEL_CHECK for allocate_temp_memory * solving lint error * Removing redundant check
Adding _softmax, relu, permute etc
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7567
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit fe5e7d7 with merge base 1bac885 (): This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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- fixing build issue on previous commit
Update functions_hifi.yaml
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module: cadence
Issues related to the Cadence/Xtensa backend
topic: not user facing
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Summary
Optimized atan2, _softmax, cat, clamp, full, relu, remainder, permute_copy_out ops and updates to use memory_allocator
Test plan
Unit tested kernels