ggml : remove ggml-ext.h (#21869)
* ggml: correct placement of ggml-ext.h * ggml : remove ggml-ext.h --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -348,6 +348,53 @@ extern "C" {
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// Set a callback to be called for each resulting node during graph compute
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GGML_API void ggml_backend_sched_set_eval_callback(ggml_backend_sched_t sched, ggml_backend_sched_eval_callback callback, void * user_data);
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//
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// Meta backend
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//
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#define GGML_BACKEND_META_MAX_DEVICES 16
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enum ggml_backend_meta_split_axis {
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// tensor split by tensor dimensions:
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GGML_BACKEND_SPLIT_AXIS_0 = 0,
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GGML_BACKEND_SPLIT_AXIS_1 = 1,
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GGML_BACKEND_SPLIT_AXIS_2 = 2,
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GGML_BACKEND_SPLIT_AXIS_3 = 3,
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GGML_BACKEND_SPLIT_AXIS_MIRRORED = 10, // all values on all backends
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GGML_BACKEND_SPLIT_AXIS_PARTIAL = 11, // each backend has a partial sum
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// for internal bookkeeping only:
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GGML_BACKEND_SPLIT_AXIS_NONE = 98,
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GGML_BACKEND_SPLIT_AXIS_UNKNOWN = 99,
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};
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GGML_API const char * ggml_backend_meta_split_axis_name(enum ggml_backend_meta_split_axis split_axis);
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struct ggml_backend_meta_split_state {
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enum ggml_backend_meta_split_axis axis;
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// for tensors with axis >= 0 && axis < GGML_MAX_DIMS:
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// - each device has a slice of the tensor along the split axis
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// - most tensors have n_segments == 1 and a contiguous slice of the tensor data
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// - some tensors have an inhomogenenous data layout along the split axis,
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// those tensors are divided into segments which are each individually split across devices
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// - ne has one entry per segment and device that add up to ggml_tensor::ne for that axis,
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// the outer/inner loops are over segments/devices like [seg0_dev0, seg0_dev1, seg1_dev0, seg1_dev1],
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// - for example, a transformer may have a fused QKV matrix rather than 3 matrices, those would be 3 separate segments
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// that each need to be split individually across devices so that each device gets a slice of Q, K, and V
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int64_t ne[16*GGML_BACKEND_META_MAX_DEVICES];
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uint32_t n_segments;
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};
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// function to assign split states for statically allocated tensors, compute tensor split states will be assigned to be compatible:
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typedef struct ggml_backend_meta_split_state(*ggml_backend_meta_get_split_state_t)(const struct ggml_tensor * tensor, void * userdata);
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// create a new meta device from "simple" devices, meta buffer type/buffer/backend is then derived from this:
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// TODO: this looks a bit strange - a backend API creates a device. I think we should try
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// express this as a backend registry functionality instead
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GGML_API ggml_backend_dev_t ggml_backend_meta_device(
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ggml_backend_dev_t * devs, size_t n_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud);
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//
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// Utils
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//
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@ -2,6 +2,7 @@
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#include "ggml-backend-impl.h"
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#include "ggml.h"
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#include "ggml-impl.h"
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#include <assert.h>
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#include <limits.h>
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#include <stdarg.h>
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@ -5,9 +5,6 @@
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#include "ggml-alloc.h"
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#include "ggml-cpp.h"
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// TODO: tmp
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#include "ggml-ext.h"
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#include <algorithm>
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#include <cassert>
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#include <cmath>
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@ -1,56 +0,0 @@
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#pragma once
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#include "ggml.h"
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#include "ggml-backend.h"
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// This is a "staging" header for new ggml API
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// It is not publicly available and it should not be used by 3rd party projects
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//
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// When the API matures enough, it will be moved to the official public API
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//
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// Meta backend
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//
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#define GGML_BACKEND_META_MAX_DEVICES 16
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enum ggml_backend_meta_split_axis {
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// tensor split by tensor dimensions:
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GGML_BACKEND_SPLIT_AXIS_0 = 0,
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GGML_BACKEND_SPLIT_AXIS_1 = 1,
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GGML_BACKEND_SPLIT_AXIS_2 = 2,
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GGML_BACKEND_SPLIT_AXIS_3 = 3,
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GGML_BACKEND_SPLIT_AXIS_MIRRORED = 10, // all values on all backends
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GGML_BACKEND_SPLIT_AXIS_PARTIAL = 11, // each backend has a partial sum
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// for internal bookkeeping only:
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GGML_BACKEND_SPLIT_AXIS_NONE = 98,
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GGML_BACKEND_SPLIT_AXIS_UNKNOWN = 99,
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};
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GGML_API const char * ggml_backend_meta_split_axis_name(enum ggml_backend_meta_split_axis split_axis);
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struct ggml_backend_meta_split_state {
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enum ggml_backend_meta_split_axis axis;
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// for tensors with axis >= 0 && axis < GGML_MAX_DIMS:
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// - each device has a slice of the tensor along the split axis
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// - most tensors have n_segments == 1 and a contiguous slice of the tensor data
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// - some tensors have an inhomogenenous data layout along the split axis,
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// those tensors are divided into segments which are each individually split across devices
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// - ne has one entry per segment and device that add up to ggml_tensor::ne for that axis,
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// the outer/inner loops are over segments/devices like [seg0_dev0, seg0_dev1, seg1_dev0, seg1_dev1],
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// - for example, a transformer may have a fused QKV matrix rather than 3 matrices, those would be 3 separate segments
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// that each need to be split individually across devices so that each device gets a slice of Q, K, and V
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int64_t ne[16*GGML_BACKEND_META_MAX_DEVICES];
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uint32_t n_segments;
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};
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// function to assign split states for statically allocated tensors, compute tensor split states will be assigned to be compatible:
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typedef struct ggml_backend_meta_split_state(*ggml_backend_meta_get_split_state_t)(const struct ggml_tensor * tensor, void * userdata);
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// create a new meta device from "simple" devices, meta buffer type/buffer/backend is then derived from this:
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// TODO: this looks a bit strange - a backend API creates a device. I think we should try
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// express this as a backend registry functionality instead
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GGML_API ggml_backend_dev_t ggml_backend_meta_device(
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ggml_backend_dev_t * devs, size_t n_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud);
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@ -18,9 +18,6 @@
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#include "ggml.h"
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#include "ggml-cpp.h"
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// TODO: tmp until the ggml meta backend matures and becomes public
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#include "../src/ggml-ext.h"
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#include <algorithm>
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#include <cassert>
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#include <cfloat>
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@ -15,9 +15,6 @@
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#include "ggml-backend.h"
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#include "gguf.h"
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// TODO: tmp until the ggml meta backend matures and becomes public
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#include "../src/ggml-ext.h"
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#include <algorithm>
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#include <cassert>
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#include <cinttypes>
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