This change upstreams llamafile's vectorized expf() functions. This lets
us compute softmax and silu more accurately than the short[65536] lookup
table that GGML previously used to make this operation go faster. We can
support aarch64 and sse2+ with the worst case rounding error of 2ulp. It
makes make -j8 tests && ./tests/test-backend-ops -o SOFT_MAX -b CPU perf
go 1.5x faster for SSE2+FMA, 1.9x faster for AVX2+FMA and 2.1x on AVX512
* logging: add proper checks for clang to avoid errors and warnings with VA_ARGS
* build: add CMake Presets and toolchian files for Windows ARM64
* matmul-int8: enable matmul-int8 with MSVC and fix Clang warnings
* ci: add support for optimized Windows ARM64 builds with MSVC and LLVM
* matmul-int8: fixed typos in q8_0_q8_0 matmuls
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* matmul-int8: remove unnecessary casts in q8_0_q8_0
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Just reordering some structs.
* Adding in the calls to mm_pause
* Passing around the state
* Renaming and moving a bunch of variables around.
* Extracting the logic to it's own function.
* Moving some variable definitions into the chunk function.
* Moving some variables around
* moving src1_cont inside
* Moving row_size
* adding the current_chunk
* Reorg the code.
* Formatting to match the orig patch
* starting to setup the chunking variables
* Starting the buildup of the loop
* The yield shouldn't be necessary.
* adding the looping structure based on the chunk configuration.
* Add in the re-chunking code.
* Making it much more likely to rechunk.
* disable resizing if numa is enabled.
* Updating comments with what we've learned.
* Fix formatting
* Couple more formatting fixes.
* More style fixes.
* Fix Warnings
* Going with unused because there's conditional logic that needs it.
* Update ggml.c
* Update ggml.c
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As discussed in PR #6766, CUDA graphs were being disabled in the presence of long prompts.
This fixes the issue by avoiding the consective update counter from incrementing unnecessarily
for tokens in which cuda graphs are disabled due to batch size > 1.
* initial commit with CPU implementation of upscale to shape and test, cuda implementation next
* experimental commit to see if dst shape is correct
* test version
* test
* removed unnecessary params
* refactor
* fixed tests
* ggml : metal impl + cleanup + sycl dev warnings
* patched ggml_upscale cuda op to handle non-contiguous tensors, added test for non-contiguous behavior
* metal : fix upsacle op to support nb00 + style
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* optimize for ppc64le using VSX intrinsics
* 1. code clean up by removing comments about overflow concern.
2. fix typo in suffix of scaling.
* Continue to fix typo in suffix of scaling for QK_K <> 256
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Add left recursion check: quit early instead of going into an infinite loop
* Remove custom enum, rename left recursion check and move to "grammar internal" section, add handling for edge case where a leftmost nonterminal may be empty
* Remove unnecessary declaration
- Change '--embedding' to '--embeddings' in the README
- Update the description to match the latest --help output
- Added a caution about defining physical batch size
* convert-hf : support q8_0 conversion
* convert-hf : add missing ftype
This was messing with the checksums otherwise.
* convert-hf : add missing ftype to Baichuan and Xverse
I didn't notice these on my first pass.
* convert.py: Outfile default name change and additional metadata support
* convert.py: don't stringify Metadata load method output
* convert.py: typo fix
* convert.py: fix metadata format to sync with LLM_KV_NAMES in llama.cpp
