* Optimize Tensor::new when called on nested Vec<..>.
* Improve performance.
* Similar flattening for the 4d case.
* More tweaks.
* Add some dummy test.
* Improve reduce perf and add contiguous impl
* Improve arg reduce and add contiguous impl
* Improve softmax kernel. 33%-39% higher thrpt
* fmt
* Fixed all bugs. Improved code quality. Added tests.
* Stash for debugging
* Stash for debugging 2
* Fixing argmax bug and improve performance
Co-authored-by: Christopher Fleetwood <45471420+FL33TW00D@users.noreply.github.com>
* Fix test and add is_valid_simgroup_reduce_type trait
* Online softmax. Improved threadgroup reduce. Tidying up a bit.
* Remove redundant threadgroup_barrier from arg reduce
* Mostly tidying up. Some improvements
* Simplify indexed struct
* tidying
* Reuse operation operator instead of passing it in as a parameter
* Fix how operators are applied to indexed<vec<T,N>>
* Vectorized load. Scalar block reduce. Hitting max throughput for f32 reduce.
* Vectorized load for online softmax. Involves a reinterpret_cast of src which may be suboptimal.
* Metal as_type casting vec<bfloat, N> -> vec<float, N/2> for simd and fast math
* Use constant for input instead of const device. Fix strided reduce.
* Use contiguous reduce in tests
* Rename finalize -> to_scalar
* Support integer types max/min (switch with trait-inferred impl later)
* Was worried I was skipping work -> shuffling the 1D test cases
* Add build.rs to avoid metal kernel jit compile overhead
* Improve build. Extract utils
* Compile metal kernels for both macos and ios
* Fixed over xmas and then forgot about it
* Add calculate_reduce_threads util
* Remove old reduce.metal
* Improve f16/bf16 softmax precision by accumulating in f32
* Remove build.rs (for now)
* Move softmax bench to candle-nn
* Remove redundant thread calc util fn
* Use uint over ushort for indices etc
* Use fast exp in MDReduceOp
* Remove nested metal define for softmax
* Fix some clippy lint.
---------
Co-authored-by: Christopher Fleetwood <45471420+FL33TW00D@users.noreply.github.com>
Co-authored-by: Laurent <laurent.mazare@gmail.com>
* Add Llama 3.1 rope
* Clippy
* Format
* Clippy
* Add support for multiple eos tokens:
* Untagged either
* Remove either dep and fix settings.json
* Make the max positional embeddings configurable
* add basic unary bench for sqrt
* process unary commands in tiles of 4
* re-enable all benchmarks
* rename helper to unary
* modify approach to split up tiled and non-tiled operations
* undo bench ignore for other tests
* update tile size to 2
* only perform the optimization on the contiguous even numbered element case
* Use cfg to seperate benchmark results based on features
* Add metal where_cond for f16 and bf16. Add benchmark
* Remove allow pragma
* Avoid some unnecessary returns.
* Improve benchmarks layout
* Updated feature separated benchmarks
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Co-authored-by: Laurent <laurent.mazare@gmail.com>
* Use cfg to seperate benchmark results based on features
* Remove allow pragma
* Avoid some unnecessary returns.
* Improve benchmarks layout
* Derive bench_name from actual device
* Run CPU benchmarks even when GPU feature is enabled
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Co-authored-by: Laurent <laurent.mazare@gmail.com>
