Rerun C++ SDK
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Datatype: A multi-dimensional Tensor
of data.
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#include <rerun/datatypes/tensor_data.hpp>
Public Member Functions | |
TensorData (Collection< rerun::datatypes::TensorDimension > shape_, datatypes::TensorBuffer buffer_) | |
New tensor data from shape and tensor buffer. | |
template<typename TElement > | |
TensorData (Collection< datatypes::TensorDimension > shape_, const TElement *data) | |
New tensor data from dimensions and pointer to tensor data. | |
Public Attributes | |
rerun::Collection< rerun::datatypes::TensorDimension > | shape |
rerun::datatypes::TensorBuffer | buffer |
Datatype: A multi-dimensional Tensor
of data.
The number of dimensions and their respective lengths is specified by the shape
field. The dimensions are ordered from outermost to innermost. For example, in the common case of a 2D RGB Image, the shape would be [height, width, channel]
.
These dimensions are combined with an index to look up values from the buffer
field, which stores a contiguous array of typed values.
Note that the buffer may be encoded in a compressed format such as jpeg
or in a format with downsampled chroma, such as NV12 or YUY2. For file formats, the shape is used as a hint, for chroma downsampled format the shape has to be the shape of the decoded image.
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inline |
New tensor data from shape and tensor buffer.
shape_ | Shape of the tensor. |
buffer_ | The tensor buffer containing the tensor's data. |
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inlineexplicit |
New tensor data from dimensions and pointer to tensor data.
Type must be one of the types supported by rerun::datatypes::TensorData
.
shape_ | Shape of the tensor. Determines the number of elements expected to be in data . |
data | Target of the pointer must outlive the archetype. |