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-rw-r--r--llama.cpp/ggml/src/ggml-cuda/mmvf.cuh14
1 files changed, 14 insertions, 0 deletions
diff --git a/llama.cpp/ggml/src/ggml-cuda/mmvf.cuh b/llama.cpp/ggml/src/ggml-cuda/mmvf.cuh
new file mode 100644
index 0000000..a50f7c0
--- /dev/null
+++ b/llama.cpp/ggml/src/ggml-cuda/mmvf.cuh
@@ -0,0 +1,14 @@
+#include "common.cuh"
+
+#define MMVF_MAX_BATCH_SIZE 8 // Max. batch size for which to use MMVF kernels.
+
+void ggml_cuda_mul_mat_vec_f(ggml_backend_cuda_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst,
+ const ggml_cuda_mm_fusion_args_host * fusion = nullptr);
+
+void ggml_cuda_op_mul_mat_vec_f(
+ ggml_backend_cuda_context & ctx,
+ const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, const char * src0_dd_i, const float * src1_ddf_i,
+ const char * src1_ddq_i, float * dst_dd_i, const int64_t row_low, const int64_t row_high, const int64_t src1_ncols,
+ const int64_t src1_padded_row_size, cudaStream_t stream);
+
+bool ggml_cuda_should_use_mmvf(enum ggml_type type, int cc, const int64_t * src0_ne, const size_t * src0_nb, int64_t ne11);