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NVIDIA cuGraph
Basics
nx-cugraph
Installation
Tutorials
Graph Support
WholeGraph
References
Developer Resources
API Reference
System Settings
Light
Dark
GitHub
Section Navigation
WholeGraph documentation
Concepts and architecture
WholeGraph overview
WholeMemory concepts
WholeMemory implementation details
Installation
Install WholeGraph
Run WholeGraph in a container
Build WholeGraph from source
WholeGraph API
pylibwholegraph API
Initialization
pylibwholegraph.torch.init
pylibwholegraph.torch.init_torch_env
pylibwholegraph.torch.init_torch_env_and_create_wm_comm
pylibwholegraph.torch.finalize
Communicators
pylibwholegraph.torch.WholeMemoryCommunicator
pylibwholegraph.torch.comm.set_world_info
pylibwholegraph.torch.create_group_communicator
pylibwholegraph.torch.split_communicator
pylibwholegraph.torch.destroy_communicator
pylibwholegraph.torch.get_global_communicator
pylibwholegraph.torch.get_local_node_communicator
pylibwholegraph.torch.get_local_device_communicator
pylibwholegraph.torch.get_local_mnnvl_communicator
pylibwholegraph.torch.comm.comm_set_distributed_backend
Tensors
pylibwholegraph.torch.WholeMemoryTensor
pylibwholegraph.torch.create_wholememory_tensor
pylibwholegraph.torch.create_wholememory_tensor_from_filelist
pylibwholegraph.torch.destroy_wholememory_tensor
Embeddings and optimizers
pylibwholegraph.torch.WholeMemoryOptimizer
pylibwholegraph.torch.create_wholememory_optimizer
pylibwholegraph.torch.destroy_wholememory_optimizer
pylibwholegraph.torch.WholeMemoryCachePolicy
pylibwholegraph.torch.create_wholememory_cache_policy
pylibwholegraph.torch.create_builtin_cache_policy
pylibwholegraph.torch.destroy_wholememory_cache_policy
pylibwholegraph.torch.WholeMemoryEmbedding
pylibwholegraph.torch.create_embedding
pylibwholegraph.torch.create_embedding_from_filelist
pylibwholegraph.torch.destroy_embedding
pylibwholegraph.torch.WholeMemoryEmbeddingModule
Graph storage and operations
pylibwholegraph.torch.GraphStructure
pylibwholegraph.torch.graph_ops.append_unique
pylibwholegraph.torch.graph_ops.add_csr_self_loop
pylibwholegraph.torch.wholegraph_ops.unweighted_sample_without_replacement
pylibwholegraph.torch.wholegraph_ops.weighted_sample_without_replacement
Distributed launch
pylibwholegraph.torch.add_distributed_launch_options
pylibwholegraph.torch.distributed_launch
pylibwholegraph.torch.get_rank
pylibwholegraph.torch.get_world_size
pylibwholegraph.torch.get_local_rank
pylibwholegraph.torch.get_local_size
Training and data-loading helpers
pylibwholegraph.torch.add_common_graph_options
pylibwholegraph.torch.add_common_model_options
pylibwholegraph.torch.add_common_sampler_options
pylibwholegraph.torch.add_training_options
pylibwholegraph.torch.add_dataloader_options
pylibwholegraph.torch.add_node_classfication_options
pylibwholegraph.torch.set_framework
pylibwholegraph.torch.create_gnn_layers
pylibwholegraph.torch.create_sub_graph
pylibwholegraph.torch.HomoGNNModel
pylibwholegraph.torch.create_node_classification_datasets
pylibwholegraph.torch.get_train_dataloader
pylibwholegraph.torch.get_valid_test_dataloader
pylibwholegraph.torch.compile_cpp_extension
pylibwholegraph.torch.get_part_file_name
pylibwholegraph.torch.get_part_file_list
libwholegraph API
Initialization, communicators, and memory
Tensor descriptions and handles
Tensor and graph operations
Embeddings
Environment callbacks
WholeGraph
WholeGraph API
pylibwholegraph API
Distributed launch
pylibwholegraph.torch.get_local_rank
pylibwholegraph.torch.get_local_rank
#
pylibwholegraph.torch.
get_local_rank
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get_local_rank()
