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https://git.adityakumar.xyz/llama.cpp.git
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7fc50c051a
* cuBLAS: dequantize simultaneously while copying memory * cuBLAS: use host pinned memory * cuBLAS: improve ggml_compute_forward_mul_mat_f16_f32 with pinned memory * cuBLAS: also pin kv cache * fix rebase
54 lines
2.7 KiB
C
54 lines
2.7 KiB
C
#include <cublas_v2.h>
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#include <cuda_runtime.h>
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#include "ggml.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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#define CUDA_CHECK(err) \
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do { \
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cudaError_t err_ = (err); \
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if (err_ != cudaSuccess) { \
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fprintf(stderr, "CUDA error %d at %s:%d: %s\n", err_, __FILE__, __LINE__, \
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cudaGetErrorString(err_)); \
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exit(1); \
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} \
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} while (0)
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#define CUBLAS_CHECK(err) \
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do { \
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cublasStatus_t err_ = (err); \
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if (err_ != CUBLAS_STATUS_SUCCESS) { \
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fprintf(stderr, "cuBLAS error %d at %s:%d\n", err_, __FILE__, __LINE__); \
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exit(1); \
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} \
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} while (0)
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extern cublasHandle_t g_cublasH;
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extern cudaStream_t g_cudaStream;
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extern cudaStream_t g_cudaStream2;
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extern cudaEvent_t g_cudaEvent;
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void ggml_init_cublas(void);
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void * ggml_cuda_host_malloc(size_t size);
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void ggml_cuda_host_free(void * ptr);
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void * ggml_cuda_pool_malloc(size_t size, size_t * actual_size);
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void ggml_cuda_pool_free(void * ptr, size_t size);
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void dequantize_row_q4_0_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q4_1_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q4_2_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q5_0_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q5_1_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q8_0_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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cudaError_t ggml_cuda_h2d_tensor_2d(void * dst, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, cudaStream_t stream);
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typedef void (*dequantize_row_q_cuda_t)(const void * x, float * y, int k, cudaStream_t stream);
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dequantize_row_q_cuda_t ggml_get_dequantize_row_q_cuda(enum ggml_type type);
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#ifdef __cplusplus
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}
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#endif
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