cuda : rename build flag to LLAMA_CUDA (#6299)
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b06c16ef9f
commit
280345968d
28 changed files with 129 additions and 115 deletions
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@ -48,12 +48,12 @@
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#pragma warning(disable: 4244 4267) // possible loss of data
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#endif
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#if (defined(GGML_USE_CUBLAS) || defined(GGML_USE_SYCL))
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#define GGML_USE_CUBLAS_SYCL
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#if (defined(GGML_USE_CUDA) || defined(GGML_USE_SYCL))
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#define GGML_USE_CUDA_SYCL
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#endif
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#if (defined(GGML_USE_CUBLAS) || defined(GGML_USE_SYCL)) || defined(GGML_USE_VULKAN)
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#define GGML_USE_CUBLAS_SYCL_VULKAN
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#if (defined(GGML_USE_CUDA) || defined(GGML_USE_SYCL)) || defined(GGML_USE_VULKAN)
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#define GGML_USE_CUDA_SYCL_VULKAN
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#endif
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#if defined(LLAMA_USE_CURL)
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@ -861,9 +861,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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return true;
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}
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params.main_gpu = std::stoi(argv[i]);
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#ifndef GGML_USE_CUBLAS_SYCL
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fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS/SYCL. Setting the main GPU has no effect.\n");
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#endif // GGML_USE_CUBLAS_SYCL
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#ifndef GGML_USE_CUDA_SYCL
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fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL. Setting the main GPU has no effect.\n");
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#endif // GGML_USE_CUDA_SYCL
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return true;
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}
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if (arg == "--split-mode" || arg == "-sm") {
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@ -889,9 +889,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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invalid_param = true;
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return true;
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}
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#ifndef GGML_USE_CUBLAS_SYCL
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fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS/SYCL. Setting the split mode has no effect.\n");
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#endif // GGML_USE_CUBLAS_SYCL
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#ifndef GGML_USE_CUDA_SYCL
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fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL. Setting the split mode has no effect.\n");
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#endif // GGML_USE_CUDA_SYCL
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return true;
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}
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if (arg == "--tensor-split" || arg == "-ts") {
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@ -917,9 +917,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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params.tensor_split[i] = 0.0f;
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}
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}
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#ifndef GGML_USE_CUBLAS_SYCL_VULKAN
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fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS/SYCL/Vulkan. Setting a tensor split has no effect.\n");
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#endif // GGML_USE_CUBLAS_SYCL
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#ifndef GGML_USE_CUDA_SYCL_VULKAN
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fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL/Vulkan. Setting a tensor split has no effect.\n");
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#endif // GGML_USE_CUDA_SYCL_VULKAN
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return true;
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}
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if (arg == "--no-mmap") {
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@ -2387,7 +2387,7 @@ void dump_non_result_info_yaml(FILE * stream, const gpt_params & params, const l
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fprintf(stream, "cpu_has_avx512: %s\n", ggml_cpu_has_avx512() ? "true" : "false");
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fprintf(stream, "cpu_has_avx512_vbmi: %s\n", ggml_cpu_has_avx512_vbmi() ? "true" : "false");
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fprintf(stream, "cpu_has_avx512_vnni: %s\n", ggml_cpu_has_avx512_vnni() ? "true" : "false");
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fprintf(stream, "cpu_has_cublas: %s\n", ggml_cpu_has_cublas() ? "true" : "false");
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fprintf(stream, "cpu_has_cuda: %s\n", ggml_cpu_has_cuda() ? "true" : "false");
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fprintf(stream, "cpu_has_vulkan: %s\n", ggml_cpu_has_vulkan() ? "true" : "false");
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fprintf(stream, "cpu_has_clblast: %s\n", ggml_cpu_has_clblast() ? "true" : "false");
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fprintf(stream, "cpu_has_kompute: %s\n", ggml_cpu_has_kompute() ? "true" : "false");
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