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	38de86a711
	
	
	
		
			
			* Multi-threading quantization. Not much gain for simple quantizations, bit it will be important for quantizations that require more CPU cycles. * Multi-threading for quantize-stats It now does the job in ~14 seconds on my Mac for Q4_0, Q4_1 and Q4_2. Single-threaded it was taking more than 2 minutes after adding the more elaborate version of Q4_2. * Reviewer comments * Avoiding compiler confusion After changing chunk_size to const int as suggested by @ggerganov, clang and GCC starting to warn me that I don't need to capture it in the lambda. So, I removed it from the capture list. But that makes the MSVC build fail. So, making it a constexpr to make every compiler happy. * Still fighting with lambda captures in MSVC --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
		
			
				
	
	
		
			62 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			62 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| #include "ggml.h"
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| #include "llama.h"
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| 
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| #include <cstdio>
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| #include <string>
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| 
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| // usage:
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| //  ./quantize models/llama/ggml-model.bin models/llama/ggml-model-quant.bin type
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| //
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| int main(int argc, char ** argv) {
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|     ggml_time_init();
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| 
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|     if (argc < 4) {
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|         fprintf(stderr, "usage: %s model-f32.bin model-quant.bin type [nthread]\n", argv[0]);
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|         fprintf(stderr, "  type = %d - q4_0\n", LLAMA_FTYPE_MOSTLY_Q4_0);
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|         fprintf(stderr, "  type = %d - q4_1\n", LLAMA_FTYPE_MOSTLY_Q4_1);
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|         fprintf(stderr, "  type = %d - q4_2\n", LLAMA_FTYPE_MOSTLY_Q4_2);
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|         fprintf(stderr, "  type = %d - q4_3\n", LLAMA_FTYPE_MOSTLY_Q4_3);
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|         return 1;
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|     }
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| 
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|     // needed to initialize f16 tables
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|     {
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|         struct ggml_init_params params = { 0, NULL, false };
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|         struct ggml_context * ctx = ggml_init(params);
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|         ggml_free(ctx);
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|     }
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| 
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|     const std::string fname_inp = argv[1];
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|     const std::string fname_out = argv[2];
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| 
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|     const enum llama_ftype ftype = (enum llama_ftype)atoi(argv[3]);
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|     int nthread = argc > 4 ? atoi(argv[4]) : 0;
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| 
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|     const int64_t t_main_start_us = ggml_time_us();
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| 
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|     int64_t t_quantize_us = 0;
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| 
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|     // load the model
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|     {
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|         const int64_t t_start_us = ggml_time_us();
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| 
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|         if (llama_model_quantize(fname_inp.c_str(), fname_out.c_str(), ftype, nthread)) {
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|             fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str());
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|             return 1;
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|         }
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| 
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|         t_quantize_us = ggml_time_us() - t_start_us;
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|     }
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| 
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|     // report timing
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|     {
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|         const int64_t t_main_end_us = ggml_time_us();
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| 
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|         printf("\n");
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|         printf("%s: quantize time = %8.2f ms\n", __func__, t_quantize_us/1000.0);
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|         printf("%s:    total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0);
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|     }
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| 
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|     return 0;
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| }
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