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NVIDIA cuGraph

  • Basics
  • nx-cugraph
  • Installation
  • Tutorials
  • Graph Support
    • WholeGraph
    • References
    • Developer Resources
    • API Reference
  • GitHub
NVIDIA cuGraph - Home NVIDIA cuGraph - Home

NVIDIA cuGraph
  • Basics
  • nx-cugraph
  • Installation
  • Tutorials
  • Graph Support
  • WholeGraph
  • References
  • Developer Resources
  • API Reference
  • 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
  • Installation

Installation#

  • Install WholeGraph
    • Conda
    • pip
    • Verify the installation
  • Run WholeGraph in a container
  • Build WholeGraph from source
    • Prerequisites
    • Build the native and Python libraries
    • Run tests

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WholeMemory implementation details

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Install WholeGraph
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