Anton Khirnovlavfi: drop internal.h6d75d442 years agoHistory
140 lines · 4.7 KB · C
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/* * Copyright (c) 2018 Sergey Lavrushkin * * This file is part of FFmpeg. * * FFmpeg is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public * License as published by the Free Software Foundation; either * version 2.1 of the License, or (at your option) any later version. * * FFmpeg is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with FFmpeg; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA */ /** * @file * Implements DNN module initialization with specified backend. */ #include "../dnn_interface.h"#include "libavutil/avassert.h"#include "libavutil/mem.h"#include "libavutil/opt.h" #include "libavfilter/filters.h" extern const DNNModule ff_dnn_backend_openvino;extern const DNNModule ff_dnn_backend_tf;extern const DNNModule ff_dnn_backend_torch; #define OFFSET(x) offsetof(DnnContext, x)#define FLAGS AV_OPT_FLAG_FILTERING_PARAMstatic const AVOption dnn_base_options[] = {        {"model", "path to model file",                OFFSET(model_filename), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS},        {"input", "input name of the model",                OFFSET(model_inputname), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS},        {"output", "output name of the model",                OFFSET(model_outputnames_string), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS},        {"backend_configs", "backend configs (deprecated)",                OFFSET(backend_options), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS | AV_OPT_FLAG_DEPRECATED},        {"options", "backend configs (deprecated)",                OFFSET(backend_options), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS | AV_OPT_FLAG_DEPRECATED},        {"nireq", "number of request",                OFFSET(nireq), AV_OPT_TYPE_INT, {.i64 = 0}, 0, INT_MAX, FLAGS},        {"async", "use DNN async inference",                OFFSET(async), AV_OPT_TYPE_BOOL, {.i64 = 1}, 0, 1, FLAGS},        {"device", "device to run model",                OFFSET(device), AV_OPT_TYPE_STRING, {.str = NULL}, 0, 0, FLAGS},        {NULL}}; AVFILTER_DEFINE_CLASS(dnn_base); typedef struct DnnBackendInfo {    const size_t offset;    union {        const AVClass *class;        const DNNModule *module;    };} DnnBackendInfo; static const DnnBackendInfo dnn_backend_info_list[] = {        {0, .class = &dnn_base_class},        // Must keep the same order as in DNNOptions, so offset value in incremental order#if CONFIG_LIBTENSORFLOW        {offsetof(DnnContext, tf_option), .module = &ff_dnn_backend_tf},#endif#if CONFIG_LIBOPENVINO        {offsetof(DnnContext, ov_option), .module = &ff_dnn_backend_openvino},#endif#if CONFIG_LIBTORCH        {offsetof(DnnContext, torch_option), .module = &ff_dnn_backend_torch},#endif}; const DNNModule *ff_get_dnn_module(DNNBackendType backend_type, void *log_ctx){    for (int i = 1; i < FF_ARRAY_ELEMS(dnn_backend_info_list); i++) {        if (dnn_backend_info_list[i].module->type == backend_type)            return dnn_backend_info_list[i].module;    }     av_log(log_ctx, AV_LOG_ERROR,            "Module backend_type %d is not supported or enabled.\n",            backend_type);    return NULL;} void ff_dnn_init_child_class(DnnContext *ctx){    for (int i = 0; i < FF_ARRAY_ELEMS(dnn_backend_info_list); i++) {        const AVClass **ptr = (const AVClass **) ((char *) ctx + dnn_backend_info_list[i].offset);        *ptr = dnn_backend_info_list[i].class;    }} void *ff_dnn_child_next(DnnContext *obj, void *prev) {    size_t pre_offset;     if (!prev) {        av_assert0(obj->clazz);        return obj;    }     pre_offset = (char *)prev - (char *)obj;    for (int i = 0; i < FF_ARRAY_ELEMS(dnn_backend_info_list) - 1; i++) {        if (dnn_backend_info_list[i].offset == pre_offset) {            const AVClass **ptr = (const AVClass **) ((char *) obj + dnn_backend_info_list[i + 1].offset);            av_assert0(*ptr);            return ptr;        }    }     return NULL;} const AVClass *ff_dnn_child_class_iterate_with_mask(void **iter, uint32_t backend_mask){    for (uintptr_t i = (uintptr_t)*iter; i < FF_ARRAY_ELEMS(dnn_backend_info_list); i++) {        if (i > 0) {            const DNNModule *module = dnn_backend_info_list[i].module;             if (!(module->type & backend_mask))                continue;        }         *iter = (void *)(i + 1);        return dnn_backend_info_list[i].class;    }     return NULL;} 

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