mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-10-29 08:41:22 +00:00
574406dc7e
* ggml : add Q5_0 quantization (cuBLAS only) * ggml : fix Q5_0 qh -> uint32_t * ggml : fix q5_0 histogram stats * ggml : q5_0 scalar dot product * ggml : q5_0 ARM NEON dot * ggml : q5_0 more efficient ARM NEON using uint64_t masks * ggml : rename Q5_0 -> Q5_1 * ggml : adding Q5_0 mode * quantize : add Q5_0 and Q5_1 to map * ggml : AVX2 optimizations for Q5_0, Q5_1 (#1195) --------- Co-authored-by: Stephan Walter <stephan@walter.name>
45 lines
2.3 KiB
C
45 lines
2.3 KiB
C
#include <cublas_v2.h>
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#include <cuda_runtime.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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void ggml_init_cublas(void);
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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_q4_3_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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#ifdef __cplusplus
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}
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#endif
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