pylibcugraph.has_vertex#

pylibcugraph.has_vertex( ResourceHandle resource_handle, _GPUGraph graph, vertices, bool_t do_expensive_check, )[source]#

Verify if vertices exists in the graph

Parameters:

resource_handleResourceHandle: Handle to the underlying device resources needed for referencing data and running algorithms.
graphSGGraph or MGGraph: The input graph, for either Single or Multi-GPU operations.
verticesdevice array type: array of vertices to be queried

Returns:

Return a device array of bool where ‘True’ is indicative of a vertex existance
and ‘False’ otherwise.

Examples

>>> import pylibcugraph, cupy, numpy
>>> srcs = cupy.asarray([0, 1, 1, 2, 2, 2, 3, 3, 4], dtype=numpy.int32)
>>> dsts = cupy.asarray([1, 3, 4, 0, 1, 3, 4, 5, 5], dtype=numpy.int32)
>>> weights = cupy.asarray(
...     [0.1, 2.1, 1.1, 5.1, 3.1, 4.1, 7.2, 3.2, 6.1], dtype=numpy.float32)
>>> source_vertices = cupy.asarray([0, 1], dtype=numpy.int32)
>>> resource_handle = pylibcugraph.ResourceHandle()
>>> graph_props = pylibcugraph.GraphProperties(
...     is_symmetric=False, is_multigraph=False)
>>> G = pylibcugraph.SGGraph(
...     resource_handle, graph_props, srcs, dsts, weight_array=weights,
...     store_transposed=False, renumber=False, do_expensive_check=False)
>>> vertices = cupy.asarray([0, 1, 2, 6], dtype=numpy.int32)
>>> result = pylibcugraph.has_vertex(resource_handle, G, vertices False)
>>> result
[ True  True  True False]