llama_cpp_for_radxa_dragon_.../tests
Aman Gupta c0bfc57af4
CUDA: mul_mat_id for mmf for bs <= 64 for f16 and bs <= 32 for f32 (#16277)
* CUDA: mul_mat_id for mmf for bs <= 64 for f16 and bs <= 32 for f32

This commit adds mul_mat_id support for ncols_dst >= 16. It does this by
packing ncols_dst tiles into the blockDim.y.

My tests on a RTX 3090 show that this is faster than the cuBLAS fallback
for f16 till bs=64, and for f32 till bs=32

* Review: refactor if statement
2025-09-27 18:49:32 +02:00
..
.gitignore
CMakeLists.txt devops: add s390x & ppc64le CI (#15925) 2025-09-27 02:03:33 +08:00
get-model.cpp
get-model.h
run-json-schema-to-grammar.mjs
test-alloc.cpp
test-arg-parser.cpp
test-autorelease.cpp
test-backend-ops.cpp CUDA: mul_mat_id for mmf for bs <= 64 for f16 and bs <= 32 for f32 (#16277) 2025-09-27 18:49:32 +02:00
test-barrier.cpp
test-c.c
test-chat-parser.cpp
test-chat-template.cpp
test-chat.cpp
test-double-float.cpp
test-gbnf-validator.cpp
test-gguf.cpp
test-grammar-integration.cpp
test-grammar-llguidance.cpp
test-grammar-parser.cpp
test-json-partial.cpp
test-json-schema-to-grammar.cpp
test-llama-grammar.cpp
test-log.cpp
test-lora-conversion-inference.sh
test-model-load-cancel.cpp
test-mtmd-c-api.c
test-opt.cpp
test-quantize-fns.cpp
test-quantize-perf.cpp
test-quantize-stats.cpp
test-regex-partial.cpp
test-rope.cpp
test-sampling.cpp
test-thread-safety.cpp
test-tokenizer-0.cpp
test-tokenizer-0.py
test-tokenizer-0.sh
test-tokenizer-1-bpe.cpp
test-tokenizer-1-spm.cpp
test-tokenizer-random.py
test-tokenizers-repo.sh devops: add s390x & ppc64le CI (#15925) 2025-09-27 02:03:33 +08:00