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| 1 | +// Copyright (c) 2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. |
| 2 | +// |
| 3 | +// Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +// you may not use this file except in compliance with the License. |
| 5 | +// You may obtain a copy of the License at |
| 6 | +// |
| 7 | +// http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +// |
| 9 | +// Unless required by applicable law or agreed to in writing, software |
| 10 | +// distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +// See the License for the specific language governing permissions and |
| 13 | +// limitations under the License. |
| 14 | + |
| 15 | +#include "dali/c_api_2/data_objects.h" |
| 16 | +#include "dali/c_api_2/error_handling.h" |
| 17 | + |
| 18 | +namespace dali::c_api { |
| 19 | + |
| 20 | +RefCountedPtr<ITensor> ITensor::Create(daliBufferPlacement_t placement) { |
| 21 | + Validate(placement); |
| 22 | + switch (placement.device_type) { |
| 23 | + case DALI_STORAGE_CPU: |
| 24 | + { |
| 25 | + auto tl = std::make_shared<Tensor<CPUBackend>>(); |
| 26 | + tl->set_pinned(placement.pinned); |
| 27 | + if (placement.pinned) |
| 28 | + tl->set_device_id(placement.device_id); |
| 29 | + return Wrap(std::move(tl)); |
| 30 | + } |
| 31 | + case DALI_STORAGE_GPU: |
| 32 | + { |
| 33 | + auto tl = std::make_shared<Tensor<GPUBackend>>(); |
| 34 | + tl->set_pinned(placement.pinned); |
| 35 | + tl->set_device_id(placement.device_id); |
| 36 | + return Wrap(std::move(tl)); |
| 37 | + } |
| 38 | + default: |
| 39 | + assert(!"Unreachable code"); |
| 40 | + return {}; |
| 41 | + } |
| 42 | +} |
| 43 | + |
| 44 | +RefCountedPtr<ITensorList> ITensorList::Create(daliBufferPlacement_t placement) { |
| 45 | + Validate(placement); |
| 46 | + switch (placement.device_type) { |
| 47 | + case DALI_STORAGE_CPU: |
| 48 | + { |
| 49 | + auto tl = std::make_shared<TensorList<CPUBackend>>(); |
| 50 | + tl->set_pinned(placement.pinned); |
| 51 | + if (placement.pinned) |
| 52 | + tl->set_device_id(placement.device_id); |
| 53 | + return Wrap(std::move(tl)); |
| 54 | + } |
| 55 | + case DALI_STORAGE_GPU: |
| 56 | + { |
| 57 | + auto tl = std::make_shared<TensorList<GPUBackend>>(); |
| 58 | + tl->set_pinned(placement.pinned); |
| 59 | + tl->set_device_id(placement.device_id); |
| 60 | + return Wrap(std::move(tl)); |
| 61 | + } |
| 62 | + default: |
| 63 | + assert(!"Unreachable code"); |
| 64 | + return {}; |
| 65 | + } |
| 66 | +} |
| 67 | + |
| 68 | +ITensor *ToPointer(daliTensor_h handle) { |
| 69 | + if (!handle) |
| 70 | + throw NullHandle("Tensor"); |
| 71 | + return static_cast<ITensor *>(handle); |
| 72 | +} |
| 73 | + |
| 74 | +ITensorList *ToPointer(daliTensorList_h handle) { |
| 75 | + if (!handle) |
| 76 | + throw NullHandle("TensorList"); |
| 77 | + return static_cast<ITensorList *>(handle); |
| 78 | +} |
| 79 | + |
| 80 | +} // namespace dali::c_api |
| 81 | + |
| 82 | +using namespace dali::c_api; // NOLINT |
| 83 | + |
| 84 | +template <typename T> |
| 85 | +std::optional<T> ToOptional(const T *nullable) { |
| 86 | + if (nullable == nullptr) |
| 87 | + return std::nullopt; |
| 88 | + else |
| 89 | + return *nullable; |
| 90 | +} |
| 91 | + |
| 92 | +////////////////////////////////////////////////////////////////////////////// |
| 93 | +// Tensor |
| 94 | +////////////////////////////////////////////////////////////////////////////// |
| 95 | + |
| 96 | +daliResult_t daliTensorCreate(daliTensor_h *out, daliBufferPlacement_t placement) { |
| 97 | + DALI_PROLOG(); |
| 98 | + if (!out) |
| 99 | + throw std::invalid_argument("The output parameter must not be NULL."); |
| 100 | + auto t = dali::c_api::ITensor::Create(placement); |
| 101 | + *out = t.release(); // no throwing allowed after this line! |
| 102 | + DALI_EPILOG(); |
| 103 | +} |
| 104 | + |
| 105 | +daliResult_t daliTensorIncRef(daliTensor_h t, int *new_ref) { |
| 106 | + DALI_PROLOG(); |
| 107 | + auto *ptr = ToPointer(t); |
| 108 | + int r = ptr->IncRef(); |
| 109 | + if (new_ref) |
| 110 | + *new_ref = r; |
| 111 | + DALI_EPILOG(); |
| 112 | +} |
| 113 | + |
| 114 | +daliResult_t daliTensorDecRef(daliTensor_h t, int *new_ref) { |
| 115 | + DALI_PROLOG(); |
| 116 | + auto *ptr = ToPointer(t); |
| 117 | + int r = ptr->DecRef(); |
| 118 | + if (new_ref) |
| 119 | + *new_ref = r; |
| 120 | + DALI_EPILOG(); |
| 121 | +} |
| 122 | + |
| 123 | +daliResult_t daliTensorRefCount(daliTensor_h t, int *ref) { |
| 124 | + DALI_PROLOG(); |
| 125 | + auto *ptr = ToPointer(t); |
| 126 | + int r = ptr->RefCount(); |
| 127 | + if (!ref) |
| 128 | + throw std::invalid_argument("The output parameter must not be NULL."); |
| 129 | + *ref = r; |
| 130 | + DALI_EPILOG(); |
| 131 | +} |
| 132 | + |
| 133 | +daliResult_t daliTensorAttachBuffer( |
| 134 | + daliTensor_h tensor, |
| 135 | + int ndim, |
| 136 | + const int64_t *shape, |
| 137 | + daliDataType_t dtype, |
| 138 | + const char *layout, |
| 139 | + void *data, |
| 140 | + daliDeleter_t deleter) { |
| 141 | + DALI_PROLOG(); |
| 142 | + auto *ptr = ToPointer(tensor); |
| 143 | + ptr->AttachBuffer(ndim, shape, dtype, layout, data, deleter); |
| 144 | + DALI_EPILOG(); |
| 145 | +} |
| 146 | + |
| 147 | +daliResult_t daliTensorResize( |
| 148 | + daliTensor_h tensor, |
| 149 | + int ndim, |
| 150 | + const int64_t *shape, |
| 151 | + daliDataType_t dtype, |
| 152 | + const char *layout) { |
| 153 | + DALI_PROLOG(); |
| 154 | + auto *ptr = ToPointer(tensor); |
| 155 | + ptr->Resize(ndim, shape, dtype, layout); |
| 156 | + DALI_EPILOG(); |
| 157 | +} |
| 158 | + |
| 159 | +daliResult_t daliTensorSetLayout( |
| 160 | + daliTensor_h tensor, |
| 161 | + const char *layout) { |
| 162 | + DALI_PROLOG(); |
| 163 | + auto *ptr = ToPointer(tensor); |
| 164 | + ptr->SetLayout(layout); |
| 165 | + DALI_EPILOG(); |
| 166 | +} |
| 167 | + |
| 168 | +daliResult_t daliTensorGetLayout( |
| 169 | + daliTensor_h tensor, |
| 170 | + const char **layout) { |
| 171 | + DALI_PROLOG(); |
| 172 | + auto *ptr = ToPointer(tensor); |
| 173 | + if (!layout) |
| 174 | + throw std::invalid_argument("The output parameter `layout` must not be be NULL"); |
| 175 | + *layout = ptr->GetLayout(); |
| 176 | + DALI_EPILOG(); |
| 177 | +} |
| 178 | + |
| 179 | +daliResult_t daliTensorGetStream( |
| 180 | + daliTensor_h tensor, |
| 181 | + cudaStream_t *out_stream) { |
| 182 | + DALI_PROLOG(); |
| 183 | + auto *ptr = ToPointer(tensor); |
| 184 | + if (!out_stream) |
| 185 | + throw std::invalid_argument("The output parameter `out_stream` must not be NULL"); |
| 186 | + auto str = ptr->GetStream(); |
| 187 | + *out_stream = str.has_value() ? *str : cudaStream_t(-1); |
| 188 | + return str.has_value() ? DALI_SUCCESS : DALI_NO_DATA; |
| 189 | + DALI_EPILOG(); |
| 190 | +} |
| 191 | + |
| 192 | +daliResult_t daliTensorSetStream( |
| 193 | + daliTensor_h tensor, |
| 194 | + const cudaStream_t *stream, |
| 195 | + daliBool synchronize) { |
| 196 | + DALI_PROLOG(); |
| 197 | + auto *ptr = ToPointer(tensor); |
| 198 | + ptr->SetStream(ToOptional(stream), synchronize); |
| 199 | + DALI_EPILOG(); |
| 200 | +} |
| 201 | + |
| 202 | +daliResult_t daliTensorGetDesc( |
| 203 | + daliTensor_h tensor, |
| 204 | + daliTensorDesc_t *out_desc) { |
| 205 | + DALI_PROLOG(); |
| 206 | + auto *ptr = ToPointer(tensor); |
| 207 | + if (!out_desc) |
| 208 | + throw std::invalid_argument("The output parameter `out_desc` must not be NULL."); |
| 209 | + *out_desc = ptr->GetDesc(); |
| 210 | + DALI_EPILOG(); |
| 211 | +} |
| 212 | + |
| 213 | +////////////////////////////////////////////////////////////////////////////// |
| 214 | +// TensorList |
| 215 | +////////////////////////////////////////////////////////////////////////////// |
| 216 | + |
| 217 | +daliResult_t daliTensorListCreate(daliTensorList_h *out, daliBufferPlacement_t placement) { |
| 218 | + DALI_PROLOG(); |
| 219 | + if (!out) |
| 220 | + throw std::invalid_argument("The output parameter must not be NULL."); |
| 221 | + auto tl = dali::c_api::ITensorList::Create(placement); |
| 222 | + *out = tl.release(); // no throwing allowed after this line! |
| 223 | + DALI_EPILOG(); |
| 224 | +} |
| 225 | + |
| 226 | +daliResult_t daliTensorListIncRef(daliTensorList_h tl, int *new_ref) { |
| 227 | + DALI_PROLOG(); |
| 228 | + auto *ptr = ToPointer(tl); |
| 229 | + int r = ptr->IncRef(); |
| 230 | + if (new_ref) |
| 231 | + *new_ref = r; |
| 232 | + DALI_EPILOG(); |
| 233 | +} |
| 234 | + |
| 235 | +daliResult_t daliTensorListDecRef(daliTensorList_h tl, int *new_ref) { |
| 236 | + DALI_PROLOG(); |
| 237 | + auto *ptr = ToPointer(tl); |
| 238 | + int r = ptr->DecRef(); |
| 239 | + if (new_ref) |
| 240 | + *new_ref = r; |
| 241 | + DALI_EPILOG(); |
| 242 | +} |
| 243 | + |
| 244 | +daliResult_t daliTensorListRefCount(daliTensorList_h tl, int *ref) { |
| 245 | + DALI_PROLOG(); |
| 246 | + auto *ptr = ToPointer(tl); |
| 247 | + if (!ref) |
| 248 | + throw std::invalid_argument("The output pointer must not be NULL."); |
| 249 | + int r = ptr->RefCount(); |
| 250 | + *ref = r; |
| 251 | + DALI_EPILOG(); |
| 252 | +} |
| 253 | + |
| 254 | +daliResult_t daliTensorListAttachBuffer( |
| 255 | + daliTensorList_h tensor_list, |
| 256 | + int num_samples, |
| 257 | + int ndim, |
| 258 | + const int64_t *shapes, |
| 259 | + daliDataType_t dtype, |
| 260 | + const char *layout, |
| 261 | + void *data, |
| 262 | + const ptrdiff_t *sample_offsets, |
| 263 | + daliDeleter_t deleter) { |
| 264 | + DALI_PROLOG(); |
| 265 | + auto *ptr = ToPointer(tensor_list); |
| 266 | + ptr->AttachBuffer(num_samples, ndim, shapes, dtype, layout, data, sample_offsets, deleter); |
| 267 | + DALI_EPILOG(); |
| 268 | +} |
| 269 | + |
| 270 | +daliResult_t daliTensorListAttachSamples( |
| 271 | + daliTensorList_h tensor_list, |
| 272 | + int num_samples, |
| 273 | + int ndim, |
| 274 | + daliDataType_t dtype, |
| 275 | + const char *layout, |
| 276 | + const daliTensorDesc_t *samples, |
| 277 | + const daliDeleter_t *sample_deleters) { |
| 278 | + DALI_PROLOG(); |
| 279 | + auto *ptr = ToPointer(tensor_list); |
| 280 | + ptr->AttachSamples(num_samples, ndim, dtype, layout, samples, sample_deleters); |
| 281 | + DALI_EPILOG(); |
| 282 | +} |
| 283 | + |
| 284 | +daliResult_t daliTensorListResize( |
| 285 | + daliTensorList_h tensor_list, |
| 286 | + int num_samples, |
| 287 | + int ndim, |
| 288 | + const int64_t *shapes, |
| 289 | + daliDataType_t dtype, |
| 290 | + const char *layout) { |
| 291 | + DALI_PROLOG(); |
| 292 | + auto *ptr = ToPointer(tensor_list); |
| 293 | + ptr->Resize(num_samples, ndim, shapes, dtype, layout); |
| 294 | + DALI_EPILOG(); |
| 295 | +} |
| 296 | + |
| 297 | +daliResult_t daliTensorListSetLayout( |
| 298 | + daliTensorList_h tensor_list, |
| 299 | + const char *layout) { |
| 300 | + DALI_PROLOG(); |
| 301 | + auto *ptr = ToPointer(tensor_list); |
| 302 | + ptr->SetLayout(layout); |
| 303 | + DALI_EPILOG(); |
| 304 | +} |
| 305 | + |
| 306 | +daliResult_t daliTensorListGetLayout( |
| 307 | + daliTensorList_h tensor_list, |
| 308 | + const char **layout) { |
| 309 | + DALI_PROLOG(); |
| 310 | + auto *ptr = ToPointer(tensor_list); |
| 311 | + if (!layout) |
| 312 | + throw std::invalid_argument("The output parameter `layout` must not be be NULL"); |
| 313 | + *layout = ptr->GetLayout(); |
| 314 | + DALI_EPILOG(); |
| 315 | +} |
| 316 | + |
| 317 | +daliResult_t daliTensorListGetStream( |
| 318 | + daliTensorList_h tensor_list, |
| 319 | + cudaStream_t *out_stream) { |
| 320 | + DALI_PROLOG(); |
| 321 | + auto *ptr = ToPointer(tensor_list); |
| 322 | + if (!out_stream) |
| 323 | + throw std::invalid_argument("The output parameter `out_stream` must not be NULL"); |
| 324 | + auto str = ptr->GetStream(); |
| 325 | + *out_stream = str.has_value() ? *str : cudaStream_t(-1); |
| 326 | + return str.has_value() ? DALI_SUCCESS : DALI_NO_DATA; |
| 327 | + DALI_EPILOG(); |
| 328 | +} |
| 329 | + |
| 330 | +daliResult_t daliTensorListSetStream( |
| 331 | + daliTensorList_h tensor_list, |
| 332 | + const cudaStream_t *stream, |
| 333 | + daliBool synchronize) { |
| 334 | + DALI_PROLOG(); |
| 335 | + auto *ptr = ToPointer(tensor_list); |
| 336 | + ptr->SetStream(ToOptional(stream), synchronize); |
| 337 | + DALI_EPILOG(); |
| 338 | +} |
| 339 | + |
| 340 | +daliResult_t daliTensorListGetTensorDesc( |
| 341 | + daliTensorList_h tensor_list, |
| 342 | + daliTensorDesc_t *out_tensor, |
| 343 | + int sample_idx) { |
| 344 | + DALI_PROLOG(); |
| 345 | + auto *ptr = ToPointer(tensor_list); |
| 346 | + if (!out_tensor) |
| 347 | + throw std::invalid_argument("The output parameter `out_tensor` must not be NULL."); |
| 348 | + *out_tensor = ptr->GetTensorDesc(sample_idx); |
| 349 | + DALI_EPILOG(); |
| 350 | +} |
| 351 | + |
| 352 | +daliResult_t daliTensorListViewAsTensor( |
| 353 | + daliTensorList_h tensor_list, |
| 354 | + daliTensor_h *out_tensor) { |
| 355 | + DALI_PROLOG(); |
| 356 | + auto *ptr = ToPointer(tensor_list); |
| 357 | + if (!out_tensor) |
| 358 | + throw std::invalid_argument("The output parameter `out_tensor` must not be NULL."); |
| 359 | + auto t = ptr->ViewAsTensor(); |
| 360 | + *out_tensor = t.release(); // no throwing allowed after this line |
| 361 | + DALI_EPILOG(); |
| 362 | +} |
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