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authorKawrakow <48489457+ikawrakow@users.noreply.github.com>2024-07-27 07:55:01 +0200
committerGitHub <noreply@github.com>2024-07-27 07:55:01 +0200
commit154e0d75fccf1784fe9ff6fd76a630b66563da3d (patch)
tree81ce6dbb5b1900c1aa78a879f0593c694cab9d27 /ggml/src/ggml-cuda/upscale.cuh
parent0684c3e9c70d49323b4fc517128cbe222cab7f96 (diff)
Merge mainline llama.cpp (#3)
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml/src/ggml-cuda/upscale.cuh')
-rw-r--r--ggml/src/ggml-cuda/upscale.cuh5
1 files changed, 5 insertions, 0 deletions
diff --git a/ggml/src/ggml-cuda/upscale.cuh b/ggml/src/ggml-cuda/upscale.cuh
new file mode 100644
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+++ b/ggml/src/ggml-cuda/upscale.cuh
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+#include "common.cuh"
+
+#define CUDA_UPSCALE_BLOCK_SIZE 256
+
+void ggml_cuda_op_upscale(ggml_backend_cuda_context & ctx, ggml_tensor * dst);