dmlc--dgl
Da Zheng
6e7f19f27b
* add distributed in-degree and out-degree. * update comments. * fix a bug. * add tests. * add tests. * fix a bug. * fix docstring. * update doc. * fix * fix. Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com> Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
33 行
1.1 KiB
Python
33 行
1.1 KiB
Python
"""DGL distributed module contains classes and functions to support
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distributed graph neural network training and inference in a cluster of
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machines.
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This includes a few submodules:
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* distributed data structures including distributed graph, distributed tensor
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and distributed embeddings.
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* distributed sampling.
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* distributed workload split at runtime.
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* graph partition.
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"""
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import os
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import sys
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from .dist_graph import DistGraphServer, DistGraph, node_split, edge_split
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from .dist_tensor import DistTensor
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from .partition import partition_graph, load_partition, load_partition_book
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from .graph_partition_book import GraphPartitionBook, PartitionPolicy
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from .sparse_emb import SparseAdagrad, DistEmbedding
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from . import nn
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from . import optim
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from .rpc import *
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from .rpc_server import start_server
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from .rpc_client import connect_to_server
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from .dist_context import initialize, exit_client
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from .kvstore import KVServer, KVClient
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from .server_state import ServerState
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from .dist_dataloader import DistDataLoader
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from .graph_services import sample_neighbors, in_subgraph
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