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numba_dpex.utils.type_conversion_fns module

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Provides helper functions to convert from numba types to dpex types.

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Currently the module supports the following converter functions:
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  • types.npytypes.Array to numba_dpex.core.types.Array.

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-numba_dpex.utils.type_conversion_fns.npytypes_array_to_dpex_array(arrtype, addrspace=1)
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Converts Numba’s Array type to numba_dpex.core.types.Array -type.

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Numba’s Array type does not have a notion of address space for the data -pointer. To get around the issues, numba_dpex defines its own array type -that is inherits from Numba’s Array type. In the -numba_dpex.core.types.Array type the data pointer has an -associated address space. In addition, the meminfo and the parent -attributes are stored as CPointer types instead of PyObject.

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The converter function converts the Numba Array type to -numba_dpex.core.types.Array type with address space of pointer -members typed to the specified address space.

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Args:
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arrtype (numba.types): A numba data type that should be

numba.types.Array.

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specified: Defaults to numba_dpex.utils.address_space.GLOBAL.

The SPIR-V address space to which the data pointer of the array -belongs.

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Returns: The dpex data type corresponding to the input numba type.

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Raises:
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NotImplementedError: If the input numba type is not

numba.types.Array

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