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mtl : adapt the MNIST example as starter
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Original file line number | Diff line number | Diff line change |
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#include "ggml.h" | ||
#include "mtl.h" | ||
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#include <cstdio> | ||
#include <cstring> | ||
#include <cstdlib> | ||
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int main(int argc, char ** argv) { | ||
ggml_time_init(); | ||
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if (argc != 2) { | ||
fprintf(stderr, "Usage: %s llama.ggml\n", argv[0]); | ||
return -1; | ||
} | ||
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const char * fname_cgraph = argv[1]; | ||
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// load the compute graph | ||
struct ggml_context * ctx_data = NULL; | ||
struct ggml_context * ctx_eval = NULL; | ||
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struct ggml_cgraph gf = ggml_graph_import(fname_cgraph, &ctx_data, &ctx_eval); | ||
gf.n_threads = 1; | ||
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// allocate eval context | ||
// needed during ggml_graph_compute() to allocate a work tensor | ||
static size_t buf_size = gf.work_size; // TODO | ||
static void * buf = malloc(buf_size); | ||
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struct ggml_init_params params = { | ||
/*.mem_size =*/ buf_size, | ||
/*.mem_buffer =*/ buf, | ||
/*.no_alloc =*/ false, | ||
}; | ||
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struct ggml_context * ctx_work = ggml_init(params); | ||
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// this allocates all Metal resources and memory buffers | ||
auto * ctx_mtl = llama_mtl_init(ctx_data, ctx_eval, ctx_work, &gf); | ||
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// the actual inference happens here | ||
llama_mtl_eval(ctx_mtl, &gf); | ||
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llama_mtl_free(ctx_mtl); | ||
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ggml_free(ctx_work); | ||
ggml_free(ctx_data); | ||
ggml_free(ctx_eval); | ||
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return 0; | ||
} | ||
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#pragma once | ||
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struct ggml_context; | ||
struct ggml_cgraph; | ||
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#ifdef __cplusplus | ||
extern "C" { | ||
#endif | ||
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struct ggml_mtl_context; | ||
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struct ggml_mtl_context * llama_mtl_init( | ||
struct ggml_context * ctx_data, | ||
struct ggml_context * ctx_eval, | ||
struct ggml_context * ctx_work, | ||
struct ggml_cgraph * gf); | ||
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void llama_mtl_free(struct ggml_mtl_context * ctx); | ||
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// return 0 on success | ||
int llama_mtl_eval( | ||
struct ggml_mtl_context * ctx, | ||
struct ggml_cgraph * gf); | ||
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#ifdef __cplusplus | ||
} | ||
#endif | ||
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