Class ov::RemoteTensor#
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class RemoteTensor : public ov::Tensor#
Remote memory access and interoperability API.
Subclassed by ov::intel_gpu::ocl::ClBufferTensor, ov::intel_gpu::ocl::ClImage2DTensor, ov::intel_gpu::ocl::USMTensor, ov::intel_npu::level_zero::ZeroBufferTensor
Public Functions
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RemoteTensor() = default#
Default constructor.
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RemoteTensor(const RemoteTensor &other, const Coordinate &begin, const Coordinate &end)#
Constructs region of interest (ROI) tensor from another remote tensor.
Note
Does not perform memory allocation internally
Note
A Number of dimensions in
beginandendmust match number of dimensions inother.get_shape()- Parameters:
other – original tensor
begin – start coordinate of ROI object inside of the original object.
end – end coordinate of ROI object inside of the original object.
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void *data(const element::Type) = delete#
Access to host memory is not available for RemoteTensor. To access a device-specific memory, cast to a specific RemoteTensor derived object and work with its properties or parse device memory properties via RemoteTensor::get_params.
- Returns:
Nothing, throws an exception.
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void copy_to(ov::Tensor &dst) const#
Copies data from this RemoteTensor to the specified destination tensor.
- Parameters:
dst – The destination tensor to which data will be copied.
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void copy_from(const ov::Tensor &src)#
Copies data from the specified source tensor to this RemoteTensor.
- Parameters:
src – The source tensor from which data will be copied.
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ov::AnyMap get_params() const#
Returns a map of device-specific parameters required for low-level operations with underlying object. Parameters include device/context/surface/buffer handles, access flags, etc. Content of the returned map depends on remote execution context that is currently set on the device (working scenario). Abstract method.
- Returns:
A map of name/parameter elements.
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RemoteTensor() = default#