1. Modules
Here is a list of all modules:
1.1. Data types used by cuDLA driver
Classes
Typedefs
- typedef cudlaDevHandle_t * cudlaDevHandle
- typedef cudlaModule_t * cudlaModule
Enumerations
- enum cudlaAccessPermissionFlags
- enum cudlaDevAttributeType
- enum cudlaFenceType
- enum cudlaMode
- enum cudlaModuleAttributeType
- enum cudlaModuleLoadFlags
- enum cudlaNvSciSyncAttributes
- enum cudlaStatus
- enum cudlaSubmissionFlags
Typedefs
Enumerations
- enum cudlaAccessPermissionFlags
-
Access permission flags for importing NvSciBuffers
Values
- CUDLA_READ_WRITE_PERM = 0
- Flag to import memory with read-write permission
- CUDLA_READ_ONLY_PERM = 1
- Flag to import memory with read-only permission
- CUDLA_TASK_STATISTICS = 1<<1
- Flag to indicate buffer as layerwise statistics buffer.
- enum cudlaDevAttributeType
-
Device attribute type.
Values
- CUDLA_UNIFIED_ADDRESSING = 0
- Flag to check for support for UVA.
- CUDLA_DEVICE_VERSION = 1
- Flag to check for DLA HW version.
- enum cudlaFenceType
-
Supported fence types.
Values
- CUDLA_NVSCISYNC_FENCE = 1
- NvSciSync fence type for EOF.
- CUDLA_NVSCISYNC_FENCE_SOF = 2
- enum cudlaMode
-
Device creation modes.
Values
- CUDLA_CUDA_DLA = 0
- Hyrbid mode.
- CUDLA_STANDALONE = 1
- Standalone mode.
- enum cudlaModuleAttributeType
-
Module attribute types.
Values
- CUDLA_NUM_INPUT_TENSORS = 0
- Flag to retrieve number of input tensors.
- CUDLA_NUM_OUTPUT_TENSORS = 1
- Flag to retrieve number of output tensors.
- CUDLA_INPUT_TENSOR_DESCRIPTORS = 2
- Flag to retrieve all the input tensor descriptors.
- CUDLA_OUTPUT_TENSOR_DESCRIPTORS = 3
- Flag to retrieve all the output tensor descriptors.
- CUDLA_NUM_OUTPUT_TASK_STATISTICS = 4
- Flag to retrieve total number of output task statistics buffer.
- CUDLA_OUTPUT_TASK_STATISTICS_DESCRIPTORS = 5
- Flag to retrieve all the output task statistics descriptors.
- enum cudlaModuleLoadFlags
-
Module load flags for cudlaModuleLoadFromMemory.
Values
- CUDLA_MODULE_DEFAULT = 0
- Default flag.
- CUDLA_MODULE_ENABLE_FAULT_DIAGNOSTICS = 1
- Flag to load a module that is used to perform permanent fault diagnostics for DLA HW.
- enum cudlaNvSciSyncAttributes
-
cuDLA NvSciSync attributes.
Values
- CUDLA_NVSCISYNC_ATTR_WAIT = 1
- Wait attribute.
- CUDLA_NVSCISYNC_ATTR_SIGNAL = 2
- Signal attribute.
- enum cudlaStatus
-
Error codes.
Values
- cudlaSuccess = 0
- The API call returned with no errors.
- cudlaErrorInvalidParam = 1
- This indicates that one or more parameters passed to the API is/are incorrect.
- cudlaErrorOutOfResources = 2
- This indicates that the API call failed due to lack of underlying resources.
- cudlaErrorCreationFailed = 3
- This indicates that an internal error occurred during creation of device handle.
- cudlaErrorInvalidAddress = 4
- This indicates that the memory object being passed in the API call has not been registered before.
- cudlaErrorOs = 5
- This indicates that an OS error occurred.
- cudlaErrorCuda = 6
- This indicates that there was an error in a CUDA operation as part of the API call.
- cudlaErrorUmd = 7
- This indicates that there was an error in the DLA runtime for the API call.
- cudlaErrorInvalidDevice = 8
- This indicates that the device handle passed to the API call is invalid.
- cudlaErrorInvalidAttribute = 9
- This indicates that an invalid attribute is being requested.
- cudlaErrorIncompatibleDlaSWVersion = 10
- This indicates that the underlying DLA runtime is incompatible with the current cuDLA version.
- cudlaErrorMemoryRegistered = 11
- This indicates that the memory object is already registered.
- cudlaErrorInvalidModule = 12
- This indicates that the module being passed is invalid.
- cudlaErrorUnsupportedOperation = 13
- This indicates that the operation being requested by the API call is unsupported.
- cudlaErrorNvSci = 14
- This indicates that the NvSci operation requested by the API call failed.
- cudlaErrorDlaErrInvalidInput = 0x40000001
- DLA HW Error.
- cudlaErrorDlaErrInvalidPreAction = 0x40000002
- DLA HW Error.
- cudlaErrorDlaErrNoMem = 0x40000003
- DLA HW Error.
- cudlaErrorDlaErrProcessorBusy = 0x40000004
- DLA HW Error.
- cudlaErrorDlaErrTaskStatusMismatch = 0x40000005
- DLA HW Error.
- cudlaErrorDlaErrEngineTimeout = 0x40000006
- DLA HW Error.
- cudlaErrorDlaErrDataMismatch = 0x40000007
- DLA HW Error.
- cudlaErrorUnknown = 0x7fffffff
- This indicates that an unknown error has occurred.
- enum cudlaSubmissionFlags
-
Task submission flags for cudlaSubmitTask.
Values
- CUDLA_SUBMIT_NOOP = 1
- Flag to specify that the submitted task must be bypassed for execution.
- CUDLA_SUBMIT_SKIP_LOCK_ACQUIRE = 1<<1
- Flag to specify that the global lock acquire must be skipped.
- CUDLA_SUBMIT_DIAGNOSTICS_TASK = 1<<2
- Flag to specify that the submitted task is to run permanent fault diagnostics for DLA HW.
2. Data Structures
Here are the data structures with brief descriptions:
2.1. cudlaDevAttribute Union Reference
[Data types used by cuDLA driver]
Device attribute.
Public Variables
- uint32_t deviceVersion
- uint8_t unifiedAddressingSupported
Variables
- uint32_t cudlaDevAttribute::deviceVersion [inherited]
-
DLA device version. Xavier has 1.0 and Orin has 2.0.
- uint8_t cudlaDevAttribute::unifiedAddressingSupported [inherited]
-
Returns 0 if unified addressing is not supported.
2.2. cudlaExternalMemoryHandleDesc_t Struct Reference
[Data types used by cuDLA driver]
External memory handle descriptor.
Public Variables
- const void * extBufObject
- unsigned long long size
Variables
- const void * cudlaExternalMemoryHandleDesc_t::extBufObject [inherited]
-
A handle representing an external memory object.
- unsigned long long cudlaExternalMemoryHandleDesc_t::size [inherited]
-
Size of the memory allocation
2.3. cudlaExternalSemaphoreHandleDesc_t Struct Reference
[Data types used by cuDLA driver]
External semaphore handle descriptor.
Public Variables
- const void * extSyncObject
Variables
- const void * cudlaExternalSemaphoreHandleDesc_t::extSyncObject [inherited]
-
A handle representing an external synchronization object.
2.4. CudlaFence Struct Reference
[Data types used by cuDLA driver]
Fence description.
Public Variables
- void * fence
- cudlaFenceType type
Variables
- void * CudlaFence::fence [inherited]
-
Fence.
- cudlaFenceTypeCudlaFence::type [inherited]
-
Fence type.
2.5. cudlaModuleAttribute Union Reference
[Data types used by cuDLA driver]
Module attribute.
Public Variables
- cudlaModuleTensorDescriptor * inputTensorDesc
- uint32_t numInputTensors
- uint32_t numOutputTensors
- cudlaModuleTensorDescriptor * outputTensorDesc
Variables
- cudlaModuleTensorDescriptor * cudlaModuleAttribute::inputTensorDesc [inherited]
-
Returns an array of input tensor descriptors.
- uint32_t cudlaModuleAttribute::numInputTensors [inherited]
-
Returns the number of input tensors.
- uint32_t cudlaModuleAttribute::numOutputTensors [inherited]
-
Returns the number of output tensors.
- cudlaModuleTensorDescriptor * cudlaModuleAttribute::outputTensorDesc [inherited]
-
Returns an array of output tensor descriptors.
2.6. cudlaModuleTensorDescriptor Struct Reference
[Data types used by cuDLA driver]
Tensor descriptor.
2.7. cudlaSignalEvents Struct Reference
[Data types used by cuDLA driver]
Signal events for cudlaSubmitTask
Public Variables
- const * devPtrs
- CudlaFence * eofFences
- uint32_t numEvents
Variables
- const * cudlaSignalEvents::devPtrs [inherited]
-
Array of registered synchronization objects (via cudlaImportExternalSemaphore).
- CudlaFence * cudlaSignalEvents::eofFences [inherited]
-
Array of fences pointers for all the signal events corresponding to the synchronization objects.
- uint32_t cudlaSignalEvents::numEvents [inherited]
-
Total number of signal events.
2.8. cudlaTask Struct Reference
[Data types used by cuDLA driver]
Structure of Task.
Public Variables
- const * inputTensor
- cudlaModule moduleHandle
- uint32_t numInputTensors
- uint32_t numOutputTensors
- const * outputTensor
- cudlaSignalEvents * signalEvents
- const cudlaWaitEvents * waitEvents
Variables
- const * cudlaTask::inputTensor [inherited]
-
Array of input tensors.
- cudlaModulecudlaTask::moduleHandle [inherited]
-
cuDLA module handle.
- uint32_t cudlaTask::numInputTensors [inherited]
-
Number of input tensors.
- uint32_t cudlaTask::numOutputTensors [inherited]
-
Number of output tensors.
- const * cudlaTask::outputTensor [inherited]
-
Array of output tensors.
- cudlaSignalEvents * cudlaTask::signalEvents [inherited]
-
Signal events.
- const cudlaWaitEvents * cudlaTask::waitEvents [inherited]
-
Wait events.
2.9. cudlaWaitEvents Struct Reference
[Data types used by cuDLA driver]
Wait events for cudlaSubmitTask.
Public Variables
- uint32_t numEvents
- const CudlaFence * preFences
Variables
- uint32_t cudlaWaitEvents::numEvents [inherited]
-
Total number of wait events.
- const CudlaFence * cudlaWaitEvents::preFences [inherited]
-
Array of fence pointers for all the wait events.
3. Data Fields
Here is a list of all documented struct and union fields with links to the struct/union documentation for each field:
- deviceVersion
- cudlaDevAttribute
- devPtrs
- cudlaSignalEvents
- eofFences
- cudlaSignalEvents
- extBufObject
- cudlaExternalMemoryHandleDesc
- extSyncObject
- cudlaExternalSemaphoreHandleDesc
- fence
- CudlaFence
- inputTensor
- cudlaTask
- inputTensorDesc
- cudlaModuleAttribute
- moduleHandle
- cudlaTask
- numEvents
- cudlaWaitEvents
- cudlaSignalEvents
- numInputTensors
- cudlaTask
- cudlaModuleAttribute
- numOutputTensors
- cudlaTask
- cudlaModuleAttribute
- outputTensor
- cudlaTask
- outputTensorDesc
- cudlaModuleAttribute
- preFences
- cudlaWaitEvents
- signalEvents
- cudlaTask
- size
- cudlaExternalMemoryHandleDesc
- type
- CudlaFence
- unifiedAddressingSupported
- cudlaDevAttribute
- waitEvents
- cudlaTask
Notices
Notice
This document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition, or quality of a product. NVIDIA Corporation (“NVIDIA”) makes no representations or warranties, expressed or implied, as to the accuracy or completeness of the information contained in this document and assumes no responsibility for any errors contained herein. NVIDIA shall have no liability for the consequences or use of such information or for any infringement of patents or other rights of third parties that may result from its use. This document is not a commitment to develop, release, or deliver any Material (defined below), code, or functionality.
NVIDIA reserves the right to make corrections, modifications, enhancements, improvements, and any other changes to this document, at any time without notice.
Customer should obtain the latest relevant information before placing orders and should verify that such information is current and complete.
NVIDIA products are sold subject to the NVIDIA standard terms and conditions of sale supplied at the time of order acknowledgement, unless otherwise agreed in an individual sales agreement signed by authorized representatives of NVIDIA and customer (“Terms of Sale”). NVIDIA hereby expressly objects to applying any customer general terms and conditions with regards to the purchase of the NVIDIA product referenced in this document. No contractual obligations are formed either directly or indirectly by this document.
NVIDIA products are not designed, authorized, or warranted to be suitable for use in medical, military, aircraft, space, or life support equipment, nor in applications where failure or malfunction of the NVIDIA product can reasonably be expected to result in personal injury, death, or property or environmental damage. NVIDIA accepts no liability for inclusion and/or use of NVIDIA products in such equipment or applications and therefore such inclusion and/or use is at customer’s own risk.
NVIDIA makes no representation or warranty that products based on this document will be suitable for any specified use. Testing of all parameters of each product is not necessarily performed by NVIDIA. It is customer’s sole responsibility to evaluate and determine the applicability of any information contained in this document, ensure the product is suitable and fit for the application planned by customer, and perform the necessary testing for the application in order to avoid a default of the application or the product. Weaknesses in customer’s product designs may affect the quality and reliability of the NVIDIA product and may result in additional or different conditions and/or requirements beyond those contained in this document. NVIDIA accepts no liability related to any default, damage, costs, or problem which may be based on or attributable to: (i) the use of the NVIDIA product in any manner that is contrary to this document or (ii) customer product designs.
No license, either expressed or implied, is granted under any NVIDIA patent right, copyright, or other NVIDIA intellectual property right under this document. Information published by NVIDIA regarding third-party products or services does not constitute a license from NVIDIA to use such products or services or a warranty or endorsement thereof. Use of such information may require a license from a third party under the patents or other intellectual property rights of the third party, or a license from NVIDIA under the patents or other intellectual property rights of NVIDIA.
Reproduction of information in this document is permissible only if approved in advance by NVIDIA in writing, reproduced without alteration and in full compliance with all applicable export laws and regulations, and accompanied by all associated conditions, limitations, and notices.
THIS DOCUMENT AND ALL NVIDIA DESIGN SPECIFICATIONS, REFERENCE BOARDS, FILES, DRAWINGS, DIAGNOSTICS, LISTS, AND OTHER DOCUMENTS (TOGETHER AND SEPARATELY, “MATERIALS”) ARE BEING PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. TO THE EXTENT NOT PROHIBITED BY LAW, IN NO EVENT WILL NVIDIA BE LIABLE FOR ANY DAMAGES, INCLUDING WITHOUT LIMITATION ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, PUNITIVE, OR CONSEQUENTIAL DAMAGES, HOWEVER CAUSED AND REGARDLESS OF THE THEORY OF LIABILITY, ARISING OUT OF ANY USE OF THIS DOCUMENT, EVEN IF NVIDIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. Notwithstanding any damages that customer might incur for any reason whatsoever, NVIDIA’s aggregate and cumulative liability towards customer for the products described herein shall be limited in accordance with the Terms of Sale for the product.