C API (dlpack.h
)¶
Macros¶
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DLPACK_EXTERN_C¶
Compatibility with C++.
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DLPACK_MAJOR_VERSION¶
The current major version of dlpack.
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DLPACK_MINOR_VERSION¶
The current minor version of dlpack.
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DLPACK_DLL¶
DLPACK_DLL prefix for windows.
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DLPACK_FLAG_BITMASK_READ_ONLY¶
bit mask to indicate that the tensor is read only.
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DLPACK_FLAG_BITMASK_IS_COPIED¶
bit mask to indicate that the tensor is a copy made by the producer.
If set, the tensor is considered solely owned throughout its lifetime by the consumer, until the producer-provided deleter is invoked.
Enumerations¶
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enum DLDeviceType¶
The device type in DLDevice.
Values:
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enumerator kDLCPU¶
CPU device.
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enumerator kDLCUDA¶
CUDA GPU device.
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enumerator kDLCUDAHost¶
Pinned CUDA CPU memory by cudaMallocHost.
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enumerator kDLOpenCL¶
OpenCL devices.
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enumerator kDLVulkan¶
Vulkan buffer for next generation graphics.
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enumerator kDLMetal¶
Metal for Apple GPU.
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enumerator kDLVPI¶
Verilog simulator buffer.
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enumerator kDLROCM¶
ROCm GPUs for AMD GPUs.
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enumerator kDLROCMHost¶
Pinned ROCm CPU memory allocated by hipMallocHost.
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enumerator kDLExtDev¶
Reserved extension device type, used for quickly test extension device The semantics can differ depending on the implementation.
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enumerator kDLCUDAManaged¶
CUDA managed/unified memory allocated by cudaMallocManaged.
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enumerator kDLOneAPI¶
Unified shared memory allocated on a oneAPI non-partititioned device. Call to oneAPI runtime is required to determine the device type, the USM allocation type and the sycl context it is bound to.
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enumerator kDLWebGPU¶
GPU support for next generation WebGPU standard.
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enumerator kDLHexagon¶
Qualcomm Hexagon DSP.
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enumerator kDLMAIA¶
Microsoft MAIA devices.
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enumerator kDLCPU¶
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enum DLDataTypeCode¶
The type code options DLDataType.
Values:
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enumerator kDLInt¶
signed integer
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enumerator kDLUInt¶
unsigned integer
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enumerator kDLFloat¶
IEEE floating point.
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enumerator kDLOpaqueHandle¶
Opaque handle type, reserved for testing purposes. Frameworks need to agree on the handle data type for the exchange to be well-defined.
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enumerator kDLBfloat¶
bfloat16
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enumerator kDLComplex¶
complex number (C/C++/Python layout: compact struct per complex number)
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enumerator kDLBool¶
boolean
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enumerator kDLInt¶
Structs¶
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struct DLPackVersion¶
The DLPack version.
A change in major version indicates that we have changed the data layout of the ABI - DLManagedTensorVersioned.
A change in minor version indicates that we have added new code, such as a new device type, but the ABI is kept the same.
If an obtained DLPack tensor has a major version that disagrees with the version number specified in this header file (i.e. major != DLPACK_MAJOR_VERSION), the consumer must call the deleter (and it is safe to do so). It is not safe to access any other fields as the memory layout will have changed.
In the case of a minor version mismatch, the tensor can be safely used as long as the consumer knows how to interpret all fields. Minor version updates indicate the addition of enumeration values.
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struct DLDevice¶
A Device for Tensor and operator.
Public Members
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DLDeviceType device_type¶
The device type used in the device.
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int32_t device_id¶
The device index. For vanilla CPU memory, pinned memory, or managed memory, this is set to 0.
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DLDeviceType device_type¶
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struct DLDataType¶
The data type the tensor can hold. The data type is assumed to follow the native endian-ness. An explicit error message should be raised when attempting to export an array with non-native endianness.
Examples
float: type_code = 2, bits = 32, lanes = 1
float4(vectorized 4 float): type_code = 2, bits = 32, lanes = 4
int8: type_code = 0, bits = 8, lanes = 1
std::complex<float>: type_code = 5, bits = 64, lanes = 1
bool: type_code = 6, bits = 8, lanes = 1 (as per common array library convention, the underlying storage size of bool is 8 bits)
Public Members
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uint8_t code¶
Type code of base types. We keep it uint8_t instead of DLDataTypeCode for minimal memory footprint, but the value should be one of DLDataTypeCode enum values.
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uint8_t bits¶
Number of bits, common choices are 8, 16, 32.
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uint16_t lanes¶
Number of lanes in the type, used for vector types.
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struct DLTensor¶
Plain C Tensor object, does not manage memory.
Public Members
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void *data¶
The data pointer points to the allocated data. This will be CUDA device pointer or cl_mem handle in OpenCL. It may be opaque on some device types. This pointer is always aligned to 256 bytes as in CUDA. The
byte_offset
field should be used to point to the beginning of the data.Note that as of Nov 2021, multiply libraries (CuPy, PyTorch, TensorFlow, TVM, perhaps others) do not adhere to this 256 byte aligment requirement on CPU/CUDA/ROCm, and always use
byte_offset=0
. This must be fixed (after which this note will be updated); at the moment it is recommended to not rely on the data pointer being correctly aligned.For given DLTensor, the size of memory required to store the contents of data is calculated as follows:
static inline size_t GetDataSize(const DLTensor* t) { size_t size = 1; for (tvm_index_t i = 0; i < t->ndim; ++i) { size *= t->shape[i]; } size *= (t->dtype.bits * t->dtype.lanes + 7) / 8; return size; }
Note that if the tensor is of size zero, then the data pointer should be set to
NULL
.
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int32_t ndim¶
Number of dimensions.
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DLDataType dtype¶
The data type of the pointer.
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int64_t *shape¶
The shape of the tensor.
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int64_t *strides¶
strides of the tensor (in number of elements, not bytes) can be NULL, indicating tensor is compact and row-majored.
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uint64_t byte_offset¶
The offset in bytes to the beginning pointer to data.
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void *data¶
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struct DLManagedTensor¶
C Tensor object, manage memory of DLTensor. This data structure is intended to facilitate the borrowing of DLTensor by another framework. It is not meant to transfer the tensor. When the borrowing framework doesn’t need the tensor, it should call the deleter to notify the host that the resource is no longer needed.
See also
Note
This data structure is used as Legacy DLManagedTensor in DLPack exchange and is deprecated after DLPack v0.8 Use DLManagedTensorVersioned instead. This data structure may get renamed or deleted in future versions.
Public Members
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void *manager_ctx¶
the context of the original host framework of DLManagedTensor in which DLManagedTensor is used in the framework. It can also be NULL.
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void (*deleter)(struct DLManagedTensor *self)¶
Destructor - this should be called to destruct the manager_ctx which backs the DLManagedTensor. It can be NULL if there is no way for the caller to provide a reasonable destructor. The destructor deletes the argument self as well.
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void *manager_ctx¶
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struct DLManagedTensorVersioned¶
A versioned and managed C Tensor object, manage memory of DLTensor.
This data structure is intended to facilitate the borrowing of DLTensor by another framework. It is not meant to transfer the tensor. When the borrowing framework doesn’t need the tensor, it should call the deleter to notify the host that the resource is no longer needed.
Note
This is the current standard DLPack exchange data structure.
Public Members
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DLPackVersion version¶
The API and ABI version of the current managed Tensor.
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void *manager_ctx¶
the context of the original host framework.
Stores DLManagedTensorVersioned is used in the framework. It can also be NULL.
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void (*deleter)(struct DLManagedTensorVersioned *self)¶
Destructor.
This should be called to destruct manager_ctx which holds the DLManagedTensorVersioned. It can be NULL if there is no way for the caller to provide a reasonable destructor. The destructor deletes the argument self as well.
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uint64_t flags¶
Additional bitmask flags information about the tensor.
By default the flags should be set to 0.
See also
See also
Note
Future ABI changes should keep everything until this field stable, to ensure that deleter can be correctly called.
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DLPackVersion version¶