CUDA: remove -sm row, refactor cuBLAS (#24216)
* CUDA: remove -sm row, refactor cuBLAS * fix CDNA + BF16 logic * fix bad return * fix src0 strides, contiguous requirements * fix GGML_CUDA_FORCE_CUBLAS * fix casts to BF16
This commit is contained in:
@@ -30,9 +30,6 @@ GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int de
|
||||
// conduct allreduce operation between devices
|
||||
GGML_BACKEND_API bool ggml_backend_cuda_allreduce_tensor(ggml_backend_t * backends, struct ggml_tensor ** tensors, size_t n_backends);
|
||||
|
||||
// split tensor buffer that splits matrices by rows across multiple devices
|
||||
GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(int main_device, const float * tensor_split);
|
||||
|
||||
// pinned host buffer for use with the CPU backend for faster copies between CPU and GPU
|
||||
GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type(void);
|
||||
|
||||
|
||||
Reference in New Issue
Block a user