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hub / github.com/DeepGraphLearning/graphvite / pyVisualizationSolver

Method pyVisualizationSolver

include/bind.h:652–744  ·  view source on GitHub ↗

Source from the content-addressed store, hash-verified

650
651 template<class... Args>
652 pyVisualizationSolver(py::handle scope, const char *name, const Args &...args) :
653 Base(scope, signature(name, dim, typeid(Float).name(), typeid(Index).name()).c_str(), args...) {
654 attr("__doc__") = "VisualizationSolver(dim, float_type=dtype.float32, index_type=dtype.uint32, "
655 "device_ids=[], num_sampler_per_worker=auto, gpu_memory_limit=auto)"
656 R"(
657 Visualization solver.
658
659 Parameters:
660 dim (int): dimension of embeddings
661 float_type (dtype): type of parameters
662 index_type (dtype): type of node indexes
663 device_ids (list of int, optional): GPU ids, [] for auto
664 num_sampler_per_worker (int, optional): number of sampler thread per GPU
665 gpu_memory_limit (int, optional): memory limit for each GPU in bytes
666 )";
667
668 // override instance name with template name
669 attr("__name__") = py::internal_str(name);
670 attr("__qualname__") = py::internal_str(name);
671
672 // data members
673 def_readonly("num_partition", &VisualizationSolver::num_partition);
674 def_readonly("num_negative", &VisualizationSolver::num_negative);
675 def_readonly("sample_batch_size", &VisualizationSolver::sample_batch_size);
676 def_readonly("optimizer", &VisualizationSolver::optimizer);
677 def_readonly("negative_sample_exponent", &VisualizationSolver::negative_sample_exponent);
678 def_readonly("negative_weight", &VisualizationSolver::negative_weight);
679 def_readonly("model", &VisualizationSolver::model);
680 def_readonly("num_epoch", &VisualizationSolver::num_epoch);
681 def_readonly("resume", &VisualizationSolver::resume);
682 def_readonly("episode_size", &VisualizationSolver::episode_size);
683 def_readonly("batch_size", &VisualizationSolver::batch_size);
684 def_readonly("positive_reuse", &VisualizationSolver::positive_reuse);
685 def_readonly("log_frequency", &VisualizationSolver::log_frequency);
686 def_readonly("num_worker", &VisualizationSolver::num_worker);
687 def_readonly("num_sampler", &VisualizationSolver::num_sampler);
688 def_readonly("gpu_memory_limit", &VisualizationSolver::gpu_memory_limit);
689 def_readonly("gpu_memory_cost", &VisualizationSolver::gpu_memory_cost);
690
691 // numpy views (mutable but unassignable)
692 def_property_readonly("coordinates", numpy_view(&VisualizationSolver::coordinates),
693 "Low-dimensional coordinates (2D numpy view).");
694
695 // member functions
696 def(py::init<std::vector<int>, int, size_t> (), py::no_gil(),
697 py::arg("device_ids") = std::vector<int>(), py::arg("num_sampler_per_worker") = graphvite::kAuto,
698 py::arg("gpu_memory_limit") = graphvite::kAuto);
699
700 def("build", &VisualizationSolver::build, py::no_gil(),
701 py::arg("graph"), py::arg("optimizer") = graphvite::Optimizer(graphvite::kAuto),
702 py::arg("num_partition") = graphvite::kAuto, py::arg("num_negative") = 5, py::arg("batch_size") = 100000,
703 py::arg("episode_size") = graphvite::kAuto,
704 "build(graph, optimizer=auto, num_partition=auto, num_negative=5, batch_size=100000, episode_size=auto)"
705 R"(
706 Determine and allocate all resources for the solver.
707
708 Parameters:
709 graph (KNNGraph): KNNGraph

Callers

nothing calls this directly

Calls 4

numpy_viewFunction · 0.85
signatureFunction · 0.70
OptimizerClass · 0.50
nameMethod · 0.45

Tested by

no test coverage detected