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| 1 | +#ifndef ONNXIFI_EXT_H |
| 2 | +#define ONNXIFI_EXT_H 1 |
| 3 | + |
| 4 | +#include "onnx/onnxifi.h" |
| 5 | + |
| 6 | +#ifdef __cplusplus |
| 7 | +extern "C" { |
| 8 | +#endif |
| 9 | + |
| 10 | +/** |
| 11 | + * Generic ONNXIFI extension function pointer. |
| 12 | + * |
| 13 | + * The caller should convert this generic function pointer to the function |
| 14 | + * pointer specific for an extension function type. |
| 15 | + */ |
| 16 | +typedef onnxStatus (ONNXIFI_ABI* onnxExtensionFunctionPointer)(void); |
| 17 | + |
| 18 | +/* Function pointer declarations for dynamic loading */ |
| 19 | +typedef ONNXIFI_CHECK_RESULT onnxStatus |
| 20 | + (ONNXIFI_ABI* onnxGetExtensionFunctionAddressFunction)( |
| 21 | + onnxBackendID backendID, |
| 22 | + const char* name, |
| 23 | + onnxExtensionFunctionPointer* function); |
| 24 | + |
| 25 | +/** |
| 26 | + * Query function pointer for an ONNXIFI extension function. |
| 27 | + * |
| 28 | + * The returned function pointer is specific to the provided backend ID, and |
| 29 | + * MUST NOT be used with objects created for other backend IDs. |
| 30 | + * |
| 31 | + * This function is a part of onnx_extension_function extension. Backends which |
| 32 | + * implement this function MUST list "onnx_extension_function" in the result of |
| 33 | + * onnxGetBackendInfo with ONNXIFI_BACKEND_EXTENSIONS information type. |
| 34 | + * |
| 35 | + * @param backendID - ID of the backend to query for extension function. |
| 36 | + * @param[in] name - name of the extension function to query. |
| 37 | + * @param[out] function - pointer to a generic function pointer for an ONNXIFI |
| 38 | + * extension function. If the function fails, the |
| 39 | + * function pointer is initialized to NULL. The caller |
| 40 | + * MUST cast this function pointer to the type specific |
| 41 | + * for the extension function before use. |
| 42 | + * |
| 43 | + * @retval ONNXIFI_STATUS_SUCCESS The function call succeeded and the extension |
| 44 | + * function pointer is stored in the location |
| 45 | + * specified by function argument. |
| 46 | + * @retval ONNXIFI_STATUS_INVALID_ID The function call failed because backendID |
| 47 | + * is not an ONNXIFI backend ID. |
| 48 | + * @retval ONNXIFI_STATUS_INVALID_POINTER The function call failed because |
| 49 | + * name or function argument is NULL. |
| 50 | + * @retval ONNXIFI_STATUS_UNIDENTIFIED_NAME The function call failed because |
| 51 | + * the backend does not implement |
| 52 | + * the function identified by the name. |
| 53 | + * @retval ONNXIFI_STATUS_INTERNAL_ERROR The function call failed because the |
| 54 | + * backend experienced an unrecovered |
| 55 | + * internal error. |
| 56 | + * @retval ONNXIFI_STATUS_BACKEND_UNAVAILABLE The function call failed because |
| 57 | + * the backend was disconnected or |
| 58 | + * uninstalled from the system. |
| 59 | + */ |
| 60 | + |
| 61 | +ONNXIFI_PUBLIC ONNXIFI_CHECK_RESULT onnxStatus ONNXIFI_ABI |
| 62 | +onnxGetExtensionFunctionAddress( |
| 63 | + onnxBackendID backendID, |
| 64 | + const char* name, |
| 65 | + onnxExtensionFunctionPointer* function); |
| 66 | + |
| 67 | +/* Extension function pointer declarations for dynamic loading */ |
| 68 | +typedef ONNXIFI_CHECK_RESULT onnxStatus |
| 69 | + (ONNXIFI_ABI* onnxSetIOAndRunGraphFunction)( |
| 70 | + onnxGraph graph, |
| 71 | + uint32_t inputsCount, |
| 72 | + const onnxTensorDescriptorV1* inputDescriptors, |
| 73 | + uint32_t outputsCount, |
| 74 | + const onnxTensorDescriptorV1* outputDescriptors, |
| 75 | + onnxMemoryFenceV1* outputFence); |
| 76 | + |
| 77 | +/** |
| 78 | + * A combination of onnxSetIO and onnxRunGraph, functionally equals to first run |
| 79 | + * onnxSetIO(graph, inputsCount, inputDescriptors, outputsCount, |
| 80 | + * outputDescriptors), then run onnxRunGraph(graph, inputFence, outputFence) |
| 81 | + * with an internal inputFence. |
| 82 | + * |
| 83 | + * As two separate functions, it is difficult to do atomic evaluation. |
| 84 | + * Therefore, we would like to unify this process and make it evaluable. |
| 85 | + * |
| 86 | + * @param graph - graph handle created by onnxInitGraph. |
| 87 | + * @param inputsCount - number of elements in the inputDescriptors array. |
| 88 | + * @param[in] inputDescriptors - descriptors of input tensors for the graph. |
| 89 | + * Elements of this array must provide a location |
| 90 | + * for each ValueInfoProto.name listed in |
| 91 | + * ModelProto.graph.input of the ONNX graph. |
| 92 | + * If inputsCount is non-zero, inputDescriptors |
| 93 | + * pointer must be non-NULL. |
| 94 | + * @param outputsCount - number of elements in the outputDescriptors array. |
| 95 | + * Must be greater than zero. |
| 96 | + * @param[in] outputDescriptors - descriptors of output tensors for the graph. |
| 97 | + * outputDescriptors pointer must be non-NULL. |
| 98 | + * Elements of this array must provide a location |
| 99 | + * for each ValueInfoProto.name listed in |
| 100 | + * ModelProto.graph.output of the ONNX graph. |
| 101 | + * @param[out] outputFence - synchronization primitive that signals when graph |
| 102 | + * outputs are ready to use by the caller. The type |
| 103 | + * of the synchronization primitive always must be |
| 104 | + * initialized by the caller. The type of the |
| 105 | + * synchronization primitive determines whether it |
| 106 | + * is initialized by the user before the call or by |
| 107 | + * the backend as a result of this call. Single-shot |
| 108 | + * synchronizatiom objects are initialized as a result |
| 109 | + * of the call. Reusable synchronization objects are |
| 110 | + * generally initialized by the user prior to the |
| 111 | + * call. |
| 112 | + * |
| 113 | + * @retval ONNXIFI_STATUS_SUCCESS The function call succeeded and the all graph |
| 114 | + * inputs and outputs were matched to a memory |
| 115 | + * location. |
| 116 | + * @retval ONNXIFI_STATUS_INVALID_GRAPH The function call failed because |
| 117 | + * graph is not an ONNXIFI graph handle. |
| 118 | + * @retval ONNXIFI_STATUS_INVALID_POINTER The function call failed because |
| 119 | + * outputDescriptors pointer is NULL or |
| 120 | + * inputDescriptors pointer is NULL while |
| 121 | + * inputsCount is non-zero. |
| 122 | + * @retval ONNXIFI_STATUS_INVALID_NAME The function call failed because one of |
| 123 | + * the names in tensor descriptors doesn't |
| 124 | + * match blob name in ModelProto.graph.input |
| 125 | + * or ModelProto.graph.output, or the same |
| 126 | + * name appears in more than one tensor |
| 127 | + * descriptor. |
| 128 | + * @retval ONNXIFI_STATUS_INVALID_SHAPE The function call failed because one of |
| 129 | + * the shape dimensions is 0. |
| 130 | + * @retval ONNXIFI_STATUS_INVALID_DATATYPE The function call failed because |
| 131 | + * one of the data types in |
| 132 | + * inputDescriptors or outputDescriptors |
| 133 | + * is unknown to the backend. |
| 134 | + * @retval ONNXIFI_STATUS_INVALID_MEMORY_TYPE The function call failed because |
| 135 | + * one of the memory types in |
| 136 | + * inputDescriptors or |
| 137 | + * outputDescriptors is unknown to |
| 138 | + * the backend. |
| 139 | + * @retval ONNXIFI_STATUS_INVALID_MEMORY_LOCATION The function call failed |
| 140 | + * because one of the memory |
| 141 | + * locations in inputDescriptors |
| 142 | + * or outputDescriptors is not |
| 143 | + * valid for the specified |
| 144 | + * memory type (e.g. NULL pointer |
| 145 | + * for ONNXIFI_MEMORY_TYPE_CPU). |
| 146 | + * @retval ONNXIFI_STATUS_UNSUPPORTED_TAG The function call failed because one |
| 147 | + * of the tags in inputDescriptors or |
| 148 | + * outputDescriptors is unknown to the |
| 149 | + * backend (tag does not match |
| 150 | + * ONNXIFI_TAG_TENSOR_DESCRIPTOR_V1). |
| 151 | + * @retval ONNXIFI_STATUS_UNSUPPORTED_SHAPE The function call failed because the |
| 152 | + * backend does not support the |
| 153 | + * tensor shapes in an input or output |
| 154 | + * of one of the operators. The |
| 155 | + * problematic tensor shapes could be |
| 156 | + * directly specified through |
| 157 | + * inputDescriptors or |
| 158 | + * outputDescriptors argument, |
| 159 | + * or inferred from the inputs by the |
| 160 | + * backend. This error code can be |
| 161 | + * returned when the backend supports |
| 162 | + * variable-size inputs and outputs, |
| 163 | + * and the problematic tensor shape was |
| 164 | + * provided in the ValueInfoProto as a |
| 165 | + * symbolic variable. |
| 166 | + * @retval ONNXIFI_STATUS_UNSUPPORTED_MEMORY_TYPE The function call failed |
| 167 | + * because the backend does not |
| 168 | + * support one of the memory |
| 169 | + * types in inputDescriptors or |
| 170 | + * outputDescriptors. |
| 171 | + * @retval ONNXIFI_STATUS_UNIDENTIFIED_NAME The function call failed because one |
| 172 | + * of the ValueInfoProto.name value in |
| 173 | + * ModelProto.graph.input or |
| 174 | + * ModelProto.graph.output doesn't have |
| 175 | + * a match in the inputDescriptors or |
| 176 | + * outputDescriptors. |
| 177 | + * @retval ONNXIFI_STATUS_MISMATCHING_SHAPE The function call failed because |
| 178 | + * the shapes specified through |
| 179 | + * inputDescriptors or |
| 180 | + * outputDescriptors argument are |
| 181 | + * inconsistent with the shapes |
| 182 | + * specified in the ONNX model graph. |
| 183 | + * @retval ONNXIFI_STATUS_MISMATCHING_DATATYPE The function call failed because |
| 184 | + * data types specified through |
| 185 | + * inputDescriptors or |
| 186 | + * outputDescriptors argument are |
| 187 | + * inconsistent with the data types |
| 188 | + * specified in the ONNX model |
| 189 | + * graph. |
| 190 | + * @retval ONNXIFI_STATUS_NO_SYSTEM_MEMORY The function call failed because the |
| 191 | + * backend could not allocate enough |
| 192 | + * system memory to parse, analyze, and |
| 193 | + * initialize the tensor locations. |
| 194 | + * @retval ONNXIFI_STATUS_NO_SYSTEM_RESOURCES The function call failed due to |
| 195 | + * insufficient non-memory system |
| 196 | + * resources (e.g. file handles) to |
| 197 | + * initialize the tensor locations. |
| 198 | + * @retval ONNXIFI_STATUS_NO_DEVICE_MEMORY The function call failed due to |
| 199 | + * insufficient backend-specific memory |
| 200 | + * to initialize the tensor locations. |
| 201 | + * @retval ONNXIFI_STATUS_NO_DEVICE_RESOURCES The function call failed due to |
| 202 | + * insufficient non-memory |
| 203 | + * backend-specific resources (e.g. |
| 204 | + * command queues) to initialize the |
| 205 | + * tensor locations. |
| 206 | + * @retval ONNXIFI_STATUS_BACKEND_UNAVAILABLE The function call failed because |
| 207 | + * the backend was disconnected or |
| 208 | + * uninstalled from the system. |
| 209 | + * @retval ONNXIFI_STATUS_INTERNAL_ERROR The function call failed because the |
| 210 | + * backend experienced an unrecovered |
| 211 | + * internal error. |
| 212 | + */ |
| 213 | + |
| 214 | +ONNXIFI_PUBLIC ONNXIFI_CHECK_RESULT onnxStatus ONNXIFI_ABI onnxSetIOAndRunGraph( |
| 215 | + onnxGraph graph, |
| 216 | + uint32_t inputsCount, |
| 217 | + const onnxTensorDescriptorV1* inputDescriptors, |
| 218 | + uint32_t outputsCount, |
| 219 | + const onnxTensorDescriptorV1* outputDescriptors, |
| 220 | + onnxMemoryFenceV1* outputFence); |
| 221 | + |
| 222 | +#ifdef __cplusplus |
| 223 | +} /* extern "C" */ |
| 224 | +#endif |
| 225 | + |
| 226 | +#endif /* !defined(ONNXIFI_EXT_H) */ |
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