* Add the const-set op.
* Cuda implementation.
* Bugfix.
* Metal cleanup.
* Add the metal kernels.
* Add some testing.
* Finish the metal implementation.
* Bump the version.
* 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>
* module docs
* varbuilder gguf docs
* add a link to gguf files
* small additonal mod doc titles
* safetensor docs
* more core docs
* more module docs in canlde_core
* 2 more link fixes
* WIP: hopefully better const impl
* with GPU
* More tests on
* Reverting primitive for
* Incorporating review changes - added check elem count check in kerner, using for call strategy
* rustfmt ran
* Separate quantized phi-3 implementation.
* Integrate the quantized phi3 model.=
* Small fixes, get the generation to work properly.
* Keep the old llama implementation around.
* Change the default.
* Add the argsort cuda kernels.
* CPU version of arg-sort.
* Hook the cuda kernel + rework the cpu bits.
* Add some dedicated test.
* Working cuda kernel.
* Metal kernel.
* Metal adjustments.
* Bugfix.
* Use the fast rope in qwen.
* Rework the expert selection in qwen.
* 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
* Move the metal kernels utils in a separate module.
* Use the BufferOffset for unary ops.
* Fix clippy lints.
* Use the new BufferOffset.
* Adapt the binary ops.
* Affine.
* More ops (powf, elu, cast).
* add the sign unary operator
* remove uneeded import
* remove uneeded import
* undo formatting
* undo formatting
* remove unnecessary redefintion
* allow gradient to flow through for sign and round
* fix cpu ops to ensure that negzero and positive zero are handled properly
* clippy fixes
* Properly avoid gradient tracking.
* Use a branchless version.
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Co-authored-by: laurent <laurent.mazare@gmail.com>
