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ggml : sync (ggml-alloc, GPU, eps, etc.) (#1220)
* ggml : sync (ggml-alloc, GPU, eps, etc.) * ggml : fix build * wasm : fix build
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20
ggml-metal.h
20
ggml-metal.h
@@ -24,6 +24,7 @@
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// max memory buffers that can be mapped to the device
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#define GGML_METAL_MAX_BUFFERS 16
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#define GGML_METAL_MAX_COMMAND_BUFFERS 32
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struct ggml_tensor;
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struct ggml_cgraph;
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@@ -34,9 +35,16 @@ extern "C" {
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struct ggml_metal_context;
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struct ggml_metal_context * ggml_metal_init(void);
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// number of command buffers to use
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struct ggml_metal_context * ggml_metal_init(int n_cb);
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void ggml_metal_free(struct ggml_metal_context * ctx);
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void * ggml_metal_host_malloc(size_t n);
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void ggml_metal_host_free (void * data);
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// set the number of command buffers to use
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void ggml_metal_set_n_cb(struct ggml_metal_context * ctx, int n_cb);
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// creates a mapping between a host memory buffer and a device memory buffer
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// - make sure to map all buffers used in the graph before calling ggml_metal_graph_compute
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// - the mapping is used during computation to determine the arguments of the compute kernels
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@@ -57,6 +65,16 @@ void ggml_metal_set_tensor(struct ggml_metal_context * ctx, struct ggml_tensor *
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// get data from the device into host memory
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void ggml_metal_get_tensor(struct ggml_metal_context * ctx, struct ggml_tensor * t);
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// try to find operations that can be run concurrently in the graph
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// you should run it again if the topology of your graph changes
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void ggml_metal_graph_find_concurrency(struct ggml_metal_context * ctx, struct ggml_cgraph * gf, bool check_mem);
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// if the graph has been optimized for concurrently dispatch, return length of the concur_list if optimized
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int ggml_metal_if_optimized(struct ggml_metal_context * ctx);
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// output the concur_list for ggml_alloc
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int * ggml_metal_get_concur_list(struct ggml_metal_context * ctx);
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// same as ggml_graph_compute but uses Metal
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// creates gf->n_threads command buffers in parallel
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void ggml_metal_graph_compute(struct ggml_metal_context * ctx, struct ggml_cgraph * gf);
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