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<h1>Source code for torch.distributed.distributed_c10d</h1><div class="highlight"><pre>
<span></span><span class="sd">"""Distributed Collective Communication (c10d)."""</span>
<span class="kn">import</span> <span class="nn">itertools</span>
<span class="kn">import</span> <span class="nn">collections.abc</span>
<span class="kn">import</span> <span class="nn">contextlib</span>
<span class="kn">import</span> <span class="nn">hashlib</span>
<span class="kn">import</span> <span class="nn">io</span>
<span class="kn">import</span> <span class="nn">logging</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">pickle</span>
<span class="kn">import</span> <span class="nn">sys</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">import</span> <span class="nn">warnings</span>
<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">namedtuple</span>
<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">timedelta</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">List</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torch._C._distributed_c10d</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">AllgatherOptions</span><span class="p">,</span>
<span class="n">AllreduceCoalescedOptions</span><span class="p">,</span>
<span class="n">AllreduceOptions</span><span class="p">,</span>
<span class="n">AllToAllOptions</span><span class="p">,</span>
<span class="n">_DistributedBackendOptions</span><span class="p">,</span>
<span class="n">BarrierOptions</span><span class="p">,</span>
<span class="n">BroadcastOptions</span><span class="p">,</span>
<span class="n">GatherOptions</span><span class="p">,</span>
<span class="n">PrefixStore</span><span class="p">,</span>
<span class="n">ProcessGroup</span><span class="p">,</span>
<span class="n">ReduceOp</span><span class="p">,</span>
<span class="n">ReduceOptions</span><span class="p">,</span>
<span class="n">ReduceScatterOptions</span><span class="p">,</span>
<span class="n">ScatterOptions</span><span class="p">,</span>
<span class="n">Store</span><span class="p">,</span>
<span class="n">DebugLevel</span><span class="p">,</span>
<span class="n">get_debug_level</span><span class="p">,</span>
<span class="n">Work</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">.constants</span> <span class="kn">import</span> <span class="n">default_pg_timeout</span><span class="p">,</span> <span class="n">default_pg_nccl_timeout</span>
<span class="kn">from</span> <span class="nn">.c10d_logger</span> <span class="kn">import</span> <span class="n">_exception_logger</span><span class="p">,</span> <span class="n">_time_logger</span>
<span class="kn">from</span> <span class="nn">.rendezvous</span> <span class="kn">import</span> <span class="n">register_rendezvous_handler</span><span class="p">,</span> <span class="n">rendezvous</span> <span class="c1"># noqa: F401</span>
<span class="n">DistStoreError</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_DistStoreError</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
<span class="s1">'Backend'</span><span class="p">,</span> <span class="s1">'BackendConfig'</span><span class="p">,</span> <span class="s1">'GroupMember'</span><span class="p">,</span> <span class="s1">'P2POp'</span><span class="p">,</span> <span class="s1">'all_gather'</span><span class="p">,</span> <span class="s1">'all_gather_coalesced'</span><span class="p">,</span>
<span class="s1">'all_gather_object'</span><span class="p">,</span> <span class="s1">'all_reduce'</span><span class="p">,</span>
<span class="s1">'all_reduce_coalesced'</span><span class="p">,</span> <span class="s1">'all_to_all'</span><span class="p">,</span>
<span class="s1">'all_to_all_single'</span><span class="p">,</span> <span class="s1">'barrier'</span><span class="p">,</span> <span class="s1">'batch_isend_irecv'</span><span class="p">,</span> <span class="s1">'broadcast'</span><span class="p">,</span>
<span class="s1">'broadcast_object_list'</span><span class="p">,</span> <span class="s1">'destroy_process_group'</span><span class="p">,</span>
<span class="s1">'gather'</span><span class="p">,</span> <span class="s1">'gather_object'</span><span class="p">,</span> <span class="s1">'get_backend_config'</span><span class="p">,</span> <span class="s1">'get_backend'</span><span class="p">,</span> <span class="s1">'get_rank'</span><span class="p">,</span>
<span class="s1">'get_world_size'</span><span class="p">,</span> <span class="s1">'group'</span><span class="p">,</span> <span class="s1">'init_process_group'</span><span class="p">,</span> <span class="s1">'irecv'</span><span class="p">,</span>
<span class="s1">'is_gloo_available'</span><span class="p">,</span> <span class="s1">'is_initialized'</span><span class="p">,</span> <span class="s1">'is_mpi_available'</span><span class="p">,</span> <span class="s1">'is_backend_available'</span><span class="p">,</span>
<span class="s1">'is_nccl_available'</span><span class="p">,</span> <span class="s1">'is_torchelastic_launched'</span><span class="p">,</span> <span class="s1">'is_ucc_available'</span><span class="p">,</span>
<span class="s1">'isend'</span><span class="p">,</span> <span class="s1">'monitored_barrier'</span><span class="p">,</span> <span class="s1">'new_group'</span><span class="p">,</span> <span class="s1">'new_subgroups'</span><span class="p">,</span>
<span class="s1">'new_subgroups_by_enumeration'</span><span class="p">,</span> <span class="s1">'recv'</span><span class="p">,</span> <span class="s1">'reduce'</span><span class="p">,</span>
<span class="s1">'reduce_scatter'</span><span class="p">,</span> <span class="s1">'scatter'</span><span class="p">,</span>
<span class="s1">'scatter_object_list'</span><span class="p">,</span> <span class="s1">'send'</span><span class="p">,</span> <span class="s1">'supports_complex'</span><span class="p">,</span>
<span class="s1">'AllreduceCoalescedOptions'</span><span class="p">,</span> <span class="s1">'AllreduceOptions'</span><span class="p">,</span> <span class="s1">'AllToAllOptions'</span><span class="p">,</span>
<span class="s1">'BarrierOptions'</span><span class="p">,</span> <span class="s1">'BroadcastOptions'</span><span class="p">,</span> <span class="s1">'GatherOptions'</span><span class="p">,</span> <span class="s1">'PrefixStore'</span><span class="p">,</span>
<span class="s1">'ProcessGroup'</span><span class="p">,</span> <span class="s1">'ReduceOp'</span><span class="p">,</span> <span class="s1">'ReduceOptions'</span><span class="p">,</span> <span class="s1">'ReduceScatterOptions'</span><span class="p">,</span>
<span class="s1">'ScatterOptions'</span><span class="p">,</span> <span class="s1">'Store'</span><span class="p">,</span> <span class="s1">'DebugLevel'</span><span class="p">,</span> <span class="s1">'get_debug_level'</span><span class="p">,</span> <span class="s1">'Work'</span><span class="p">,</span>
<span class="s1">'default_pg_timeout'</span><span class="p">,</span> <span class="s1">'get_group_rank'</span><span class="p">,</span> <span class="s1">'get_global_rank'</span><span class="p">,</span> <span class="s1">'get_process_group_ranks'</span><span class="p">,</span>
<span class="s1">'reduce_op'</span><span class="p">,</span> <span class="s1">'all_gather_into_tensor'</span><span class="p">,</span> <span class="s1">'reduce_scatter_tensor'</span><span class="p">,</span>
<span class="p">]</span>
<span class="n">_MPI_AVAILABLE</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">_NCCL_AVAILABLE</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">_GLOO_AVAILABLE</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">_UCC_AVAILABLE</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">_pickler</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">Pickler</span>
<span class="n">_unpickler</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">Unpickler</span>
<span class="c1"># Change __module__ of all imported types from torch._C._distributed_c10d that are public</span>
<span class="k">def</span> <span class="nf">_export_c_types</span><span class="p">():</span>
<span class="n">_public_types_to_change_module</span> <span class="o">=</span> <span class="p">[</span>
<span class="n">AllreduceCoalescedOptions</span><span class="p">,</span>
<span class="n">AllreduceOptions</span><span class="p">,</span>
<span class="n">AllToAllOptions</span><span class="p">,</span>
<span class="n">BarrierOptions</span><span class="p">,</span>
<span class="n">BroadcastOptions</span><span class="p">,</span>
<span class="n">GatherOptions</span><span class="p">,</span>
<span class="n">PrefixStore</span><span class="p">,</span>
<span class="n">ProcessGroup</span><span class="p">,</span>
<span class="n">ReduceOp</span><span class="p">,</span>
<span class="n">ReduceOptions</span><span class="p">,</span>
<span class="n">ReduceScatterOptions</span><span class="p">,</span>
<span class="n">ScatterOptions</span><span class="p">,</span>
<span class="n">Store</span><span class="p">,</span>
<span class="n">DebugLevel</span><span class="p">,</span>
<span class="n">get_debug_level</span><span class="p">,</span>
<span class="n">Work</span>
<span class="p">]</span>
<span class="k">for</span> <span class="nb">type</span> <span class="ow">in</span> <span class="n">_public_types_to_change_module</span><span class="p">:</span>
<span class="nb">type</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.distributed.distributed_c10d"</span>
<span class="n">_export_c_types</span><span class="p">()</span>
<span class="k">try</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">torch._C._distributed_c10d</span> <span class="kn">import</span> <span class="n">ProcessGroupMPI</span>
<span class="n">ProcessGroupMPI</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.distributed.distributed_c10d"</span>
<span class="n">__all__</span> <span class="o">+=</span> <span class="p">[</span><span class="s2">"ProcessGroupMPI"</span><span class="p">]</span>
<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
<span class="n">_MPI_AVAILABLE</span> <span class="o">=</span> <span class="kc">False</span>
<span class="k">try</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">torch._C._distributed_c10d</span> <span class="kn">import</span> <span class="n">ProcessGroupNCCL</span>
<span class="n">ProcessGroupNCCL</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.distributed.distributed_c10d"</span>
<span class="n">__all__</span> <span class="o">+=</span> <span class="p">[</span><span class="s2">"ProcessGroupNCCL"</span><span class="p">]</span>
<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
<span class="n">_NCCL_AVAILABLE</span> <span class="o">=</span> <span class="kc">False</span>
<span class="k">try</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">torch._C._distributed_c10d</span> <span class="kn">import</span> <span class="n">ProcessGroupGloo</span>
<span class="kn">from</span> <span class="nn">torch._C._distributed_c10d</span> <span class="kn">import</span> <span class="n">_ProcessGroupWrapper</span>
<span class="n">ProcessGroupGloo</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.distributed.distributed_c10d"</span>
<span class="n">__all__</span> <span class="o">+=</span> <span class="p">[</span><span class="s2">"ProcessGroupGloo"</span><span class="p">]</span>
<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
<span class="n">_GLOO_AVAILABLE</span> <span class="o">=</span> <span class="kc">False</span>
<span class="k">try</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">torch._C._distributed_c10d</span> <span class="kn">import</span> <span class="n">ProcessGroupUCC</span>
<span class="n">ProcessGroupUCC</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.distributed.distributed_c10d"</span>
<span class="n">__all__</span> <span class="o">+=</span> <span class="p">[</span><span class="s2">"ProcessGroupUCC"</span><span class="p">]</span>
<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
<span class="n">_UCC_AVAILABLE</span> <span class="o">=</span> <span class="kc">False</span>
<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
<span class="n">PG_WRAPPER_STORE_PREFIX</span> <span class="o">=</span> <span class="s2">"pg_wrapper"</span>
<span class="c1"># Some reduce ops are not supported by complex numbers and will result in an error.</span>
<span class="c1"># We currently provide complex support to the distributed API by viewing</span>
<span class="c1"># complex tensors as real (torch.view_as_real), meaning that calling</span>
<span class="c1"># these unsupported ops will return garbage values rather than error out.</span>
<span class="c1"># (e.g. max(2+3i, 3+2i) = 3+3i)</span>
<span class="c1"># We'd like calls to unsupported ops to error out accordingly,</span>
<span class="c1"># rather than returning garbage values.</span>
<span class="k">def</span> <span class="nf">supports_complex</span><span class="p">(</span><span class="n">reduceOp</span><span class="p">:</span> <span class="n">ReduceOp</span><span class="p">)</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Return true if reduce ops is supported. False otherwise."""</span>
<span class="n">denyList</span> <span class="o">=</span> <span class="p">[</span>
<span class="n">ReduceOp</span><span class="o">.</span><span class="n">MAX</span><span class="p">,</span>
<span class="n">ReduceOp</span><span class="o">.</span><span class="n">MIN</span><span class="p">,</span>
<span class="n">ReduceOp</span><span class="o">.</span><span class="n">PRODUCT</span><span class="p">,</span>
<span class="n">ReduceOp</span><span class="o">.</span><span class="n">BAND</span><span class="p">,</span>
<span class="n">ReduceOp</span><span class="o">.</span><span class="n">BOR</span><span class="p">,</span>
<span class="n">ReduceOp</span><span class="o">.</span><span class="n">BXOR</span><span class="p">,</span>
<span class="p">]</span>
<span class="k">return</span> <span class="n">reduceOp</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">denyList</span>
<div class="viewcode-block" id="Backend"><a class="viewcode-back" href="../../../distributed.html#torch.distributed.Backend">[docs]</a><span class="k">class</span> <span class="nc">Backend</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> An enum-like class for backends.</span>
<span class="sd"> Available backends: GLOO, NCCL, UCC, MPI, and other registered backends.</span>
<span class="sd"> The values of this class are lowercase strings, e.g., ``"gloo"``. They can</span>
<span class="sd"> be accessed as attributes, e.g., ``Backend.NCCL``.</span>
<span class="sd"> This class can be directly called to parse the string, e.g.,</span>
<span class="sd"> ``Backend(backend_str)`` will check if ``backend_str`` is valid, and</span>
<span class="sd"> return the parsed lowercase string if so. It also accepts uppercase strings,</span>
<span class="sd"> e.g., ``Backend("GLOO")`` returns ``"gloo"``.</span>
<span class="sd"> .. note:: The entry ``Backend.UNDEFINED`` is present but only used as</span>
<span class="sd"> initial value of some fields. Users should neither use it directly</span>
<span class="sd"> nor assume its existence.</span>
<span class="sd"> """</span>
<span class="n">UNDEFINED</span> <span class="o">=</span> <span class="s2">"undefined"</span>
<span class="n">GLOO</span> <span class="o">=</span> <span class="s2">"gloo"</span>
<span class="n">NCCL</span> <span class="o">=</span> <span class="s2">"nccl"</span>
<span class="n">UCC</span> <span class="o">=</span> <span class="s2">"ucc"</span>
<span class="n">MPI</span> <span class="o">=</span> <span class="s2">"mpi"</span>
<span class="n">_BackendPlugin</span> <span class="o">=</span> <span class="n">namedtuple</span><span class="p">(</span><span class="s2">"_BackendPlugin"</span><span class="p">,</span> <span class="p">[</span><span class="s2">"creator_fn"</span><span class="p">,</span> <span class="s2">"extended_api"</span><span class="p">])</span>
<span class="n">_plugins</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">_BackendPlugin</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">backend_list</span> <span class="o">=</span> <span class="p">[</span><span class="n">UNDEFINED</span><span class="p">,</span> <span class="n">GLOO</span><span class="p">,</span> <span class="n">NCCL</span><span class="p">,</span> <span class="n">UCC</span><span class="p">,</span> <span class="n">MPI</span><span class="p">]</span>
<span class="n">default_device_backend_map</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'cpu'</span> <span class="p">:</span> <span class="n">GLOO</span><span class="p">,</span>
<span class="s1">'cuda'</span> <span class="p">:</span> <span class="n">NCCL</span><span class="p">,</span>
<span class="p">}</span>
<span class="n">backend_capability</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{</span>
<span class="n">GLOO</span> <span class="p">:</span> <span class="p">[</span><span class="s2">"cpu"</span><span class="p">,</span> <span class="s2">"cuda"</span><span class="p">],</span>
<span class="n">NCCL</span> <span class="p">:</span> <span class="p">[</span><span class="s2">"cuda"</span><span class="p">],</span>
<span class="n">UCC</span> <span class="p">:</span> <span class="p">[</span><span class="s2">"cpu"</span><span class="p">,</span> <span class="s2">"cuda"</span><span class="p">],</span>
<span class="n">MPI</span> <span class="p">:</span> <span class="p">[</span><span class="s2">"cpu"</span><span class="p">,</span> <span class="s2">"cuda"</span><span class="p">],</span>
<span class="p">}</span>
<span class="n">backend_type_map</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">ProcessGroup</span><span class="o">.</span><span class="n">BackendType</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="n">UNDEFINED</span><span class="p">:</span> <span class="n">ProcessGroup</span><span class="o">.</span><span class="n">BackendType</span><span class="o">.</span><span class="n">UNDEFINED</span><span class="p">,</span>
<span class="n">GLOO</span> <span class="p">:</span> <span class="n">ProcessGroup</span><span class="o">.</span><span class="n">BackendType</span><span class="o">.</span><span class="n">GLOO</span><span class="p">,</span>
<span class="n">NCCL</span><span class="p">:</span> <span class="n">ProcessGroup</span><span class="o">.</span><span class="n">BackendType</span><span class="o">.</span><span class="n">NCCL</span><span class="p">,</span>
<span class="n">UCC</span><span class="p">:</span> <span class="n">ProcessGroup</span><span class="o">.</span><span class="n">BackendType</span><span class="o">.</span><span class="n">UCC</span><span class="p">,</span>
<span class="p">}</span>
<span class="k">def</span> <span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Create and return a new instance of the class."""</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Backend name must be a string, but got: </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="n">value</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">Backend</span><span class="p">,</span> <span class="n">name</span><span class="o">.</span><span class="n">upper</span><span class="p">(),</span> <span class="n">Backend</span><span class="o">.</span><span class="n">UNDEFINED</span><span class="p">)</span>
<span class="k">if</span> <span class="n">value</span> <span class="o">==</span> <span class="n">Backend</span><span class="o">.</span><span class="n">UNDEFINED</span><span class="p">:</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
<span class="k">return</span> <span class="n">value</span>
<div class="viewcode-block" id="Backend.register_backend"><a class="viewcode-back" href="../../../distributed.html#torch.distributed.Backend.register_backend">[docs]</a> <span class="nd">@classmethod</span>
<span class="k">def</span> <span class="nf">register_backend</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">func</span><span class="p">,</span> <span class="n">extended_api</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">devices</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Register a new backend with the given name and instantiating function.</span>
<span class="sd"> This class method is used by 3rd party ``ProcessGroup`` extension to</span>
<span class="sd"> register new backends.</span>
<span class="sd"> Args:</span>
<span class="sd"> name (str): Backend name of the ``ProcessGroup`` extension. It</span>
<span class="sd"> should match the one in ``init_process_group()``.</span>
<span class="sd"> func (function): Function handler that instantiates the backend.</span>
<span class="sd"> The function should be implemented in the backend</span>
<span class="sd"> extension and takes four arguments, including</span>
<span class="sd"> ``store``, ``rank``, ``world_size``, and ``timeout``.</span>
<span class="sd"> extended_api (bool, optional): Whether the backend supports extended argument structure.</span>
<span class="sd"> Default: ``False``. If set to ``True``, the backend</span>
<span class="sd"> will get an instance of ``c10d::DistributedBackendOptions``, and</span>
<span class="sd"> a process group options object as defined by the backend implementation.</span>
<span class="sd"> device (str or list of str, optional): device type this backend</span>
<span class="sd"> supports, e.g. "cpu", "cuda", etc. If `None`,</span>
<span class="sd"> assuming both "cpu" and "cuda"</span>
<span class="sd"> .. note:: This support of 3rd party backend is experimental and subject to change.</span>
<span class="sd"> """</span>
<span class="c1"># Allow UCC plugin if Pytorch is not built with native support.</span>
<span class="c1"># TODO: remove this exception once UCC plugin is fully deprecated.</span>
<span class="k">if</span> <span class="p">(</span><span class="n">name</span> <span class="o">!=</span> <span class="n">Backend</span><span class="o">.</span><span class="n">UCC</span> <span class="ow">or</span> <span class="p">(</span><span class="n">name</span> <span class="o">==</span> <span class="n">Backend</span><span class="o">.</span><span class="n">UCC</span> <span class="ow">and</span> <span class="n">is_ucc_available</span><span class="p">())):</span>
<span class="k">assert</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">Backend</span><span class="p">,</span> <span class="n">name</span><span class="o">.</span><span class="n">upper</span><span class="p">()),</span> <span class="p">(</span>
<span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">name</span><span class="o">.</span><span class="n">upper</span><span class="p">()</span><span class="si">}</span><span class="s2"> c10d backend already exist"</span>
<span class="p">)</span>
<span class="k">assert</span> <span class="n">name</span><span class="o">.</span><span class="n">upper</span><span class="p">()</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">Backend</span><span class="o">.</span><span class="n">_plugins</span><span class="p">,</span> <span class="p">(</span>
<span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">name</span><span class="o">.</span><span class="n">upper</span><span class="p">()</span><span class="si">}</span><span class="s2"> c10d backend creator function already exist"</span>
<span class="p">)</span>
<span class="nb">setattr</span><span class="p">(</span><span class="n">Backend</span><span class="p">,</span> <span class="n">name</span><span class="o">.</span><span class="n">upper</span><span class="p">(),</span> <span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
<span class="n">Backend</span><span class="o">.</span><span class="n">backend_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
<span class="k">if</span> <span class="n">devices</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">for</span> <span class="n">device</span> <span class="ow">in</span> <span class="n">devices</span><span class="p">:</span>
<span class="k">if</span> <span class="n">device</span> <span class="o">!=</span> <span class="s1">'cpu'</span> <span class="ow">and</span> <span class="n">device</span> <span class="o">!=</span> <span class="s1">'cuda'</span><span class="p">:</span>
<span class="n">Backend</span><span class="o">.</span><span class="n">default_device_backend_map</span><span class="p">[</span><span class="n">device</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
<span class="n">Backend</span><span class="o">.</span><span class="n">backend_type_map</span><span class="p">[</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span> <span class="o">=</span> <span class="n">ProcessGroup</span><span class="o">.</span><span class="n">BackendType</span><span class="o">.</span><span class="n">CUSTOM</span>
<span class="c1"># Update device capability matrix in Backend class</span>
<span class="k">if</span> <span class="n">devices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="c1"># This is more of a backward support for groups like `threaded`:</span>
<span class="c1"># assume default devices "cpu" and "cuda", but warn</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span>
<span class="sa">f</span><span class="s2">"Device capability of </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2"> unspecified, assuming `cpu` and "</span>
<span class="s2">"`cuda`. Please specify it via the `devices` argument of "</span>
<span class="s2">"`register_backend`."</span>
<span class="p">)</span>
<span class="n">Backend</span><span class="o">.</span><span class="n">backend_capability</span><span class="p">[</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"cpu"</span><span class="p">,</span> <span class="s2">"cuda"</span><span class="p">]</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">devices</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="c1"># Single device string specified. Simply convert to list.</span>
<span class="n">Backend</span><span class="o">.</span><span class="n">backend_capability</span><span class="p">[</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span> <span class="o">=</span> <span class="p">[</span><span class="n">devices</span><span class="p">]</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">Backend</span><span class="o">.</span><span class="n">backend_capability</span><span class="p">[</span><span class="n">name</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span> <span class="o">=</span> <span class="n">devices</span>
<span class="n">Backend</span><span class="o">.</span><span class="n">_plugins</span><span class="p">[</span><span class="n">name</span><span class="o">.</span><span class="n">upper</span><span class="p">()]</span> <span class="o">=</span> <span class="n">Backend</span><span class="o">.</span><span class="n">_BackendPlugin</span><span class="p">(</span><span class="n">func</span><span class="p">,</span> <span class="n">extended_api</span><span class="p">)</span></div></div>
<span class="k">class</span> <span class="nc">BackendConfig</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Backend configuration class."""</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">backend</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Backend</span><span class="p">]):</span>
<span class="w"> </span><span class="sd">"""Init."""</span>
<span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">,</span> <span class="n">Backend</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">if</span> <span class="n">backend</span> <span class="o">==</span> <span class="n">Backend</span><span class="o">.</span><span class="n">UNDEFINED</span><span class="p">:</span>
<span class="c1"># default config when backend is not specified</span>
<span class="c1"># supported since PyTorch 2.0</span>
<span class="k">for</span> <span class="n">device</span> <span class="ow">in</span> <span class="n">Backend</span><span class="o">.</span><span class="n">default_device_backend_map</span><span class="p">:</span>
<span class="k">if</span> <span class="n">is_backend_available</span><span class="p">(</span><span class="n">Backend</span><span class="o">.</span><span class="n">default_device_backend_map</span><span class="p">[</span><span class="n">device</span><span class="p">]):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span><span class="p">[</span><span class="n">device</span><span class="p">]</span> <span class="o">=</span> <span class="n">Backend</span><span class="o">.</span><span class="n">default_device_backend_map</span><span class="p">[</span><span class="n">device</span><span class="p">]</span>
<span class="k">elif</span> <span class="n">backend</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">Backend</span><span class="o">.</span><span class="n">backend_list</span><span class="p">:</span>
<span class="c1"># Cases for when backend is a single string (without device types)</span>
<span class="c1"># e.g. "nccl", "gloo", "ucc", "mpi"</span>
<span class="n">supported_devices</span> <span class="o">=</span> <span class="n">Backend</span><span class="o">.</span><span class="n">backend_capability</span><span class="p">[</span><span class="n">backend</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span>
<span class="n">backend_val</span> <span class="o">=</span> <span class="n">Backend</span><span class="p">(</span><span class="n">backend</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span> <span class="o">=</span> <span class="p">{</span>
<span class="n">device</span> <span class="p">:</span> <span class="n">backend_val</span> <span class="k">for</span> <span class="n">device</span> <span class="ow">in</span> <span class="n">supported_devices</span>
<span class="p">}</span>
<span class="k">elif</span> <span class="s2">":"</span> <span class="ow">in</span> <span class="n">backend</span><span class="o">.</span><span class="n">lower</span><span class="p">():</span>
<span class="c1"># Backend specified in "device:backend" format</span>
<span class="c1"># make sure the backend string is in the correct format</span>
<span class="c1"># "{device_type1}:{backend1},{device_type2}:{backend2}"</span>
<span class="c1"># e.g. "cpu:gloo,cuda:nccl"</span>
<span class="n">backend_str_error_message</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"""The custom backend string argument is invalid: </span><span class="si">{</span><span class="n">backend</span><span class="si">}</span><span class="s2">.</span>
<span class="s2"> Custom backend string is an experimental feature where the backend string must be in the format:</span>
<span class="s2"> "<device_type1>:<backend1>,<device_type2>:<backend2>...". e.g. 'cpu:gloo,cuda:nccl'"""</span>
<span class="c1"># parse the backend string and populate the device_backend_map</span>
<span class="k">for</span> <span class="n">device_backend_pair_str</span> <span class="ow">in</span> <span class="n">backend</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">","</span><span class="p">):</span>
<span class="n">device_backend_pair</span> <span class="o">=</span> <span class="n">device_backend_pair_str</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">":"</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">device_backend_pair</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">2</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Invalid device:backend pairing: </span><span class="se">\</span>
<span class="s2"> </span><span class="si">{</span><span class="n">device_backend_pair_str</span><span class="si">}</span><span class="s2">. </span><span class="si">{</span><span class="n">backend_str_error_message</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="n">device</span><span class="p">,</span> <span class="n">backend</span> <span class="o">=</span> <span class="n">device_backend_pair</span>
<span class="k">if</span> <span class="n">device</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Duplicate device type </span><span class="si">{</span><span class="n">device</span><span class="si">}</span><span class="s2"> </span><span class="se">\</span>
<span class="s2"> in backend string: </span><span class="si">{</span><span class="n">backend</span><span class="si">}</span><span class="s2">. </span><span class="si">{</span><span class="n">backend_str_error_message</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span><span class="p">[</span><span class="n">device</span><span class="p">]</span> <span class="o">=</span> <span class="n">Backend</span><span class="p">(</span><span class="n">backend</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># User specified a single backend name whose device capability is</span>
<span class="c1"># unknown, assuming it can support the default devices of PyTorch</span>
<span class="c1"># (cpu and cuda)</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span>
<span class="sa">f</span><span class="s2">"Device capability of </span><span class="si">{</span><span class="n">backend</span><span class="si">}</span><span class="s2"> unknown, assuming `cpu` and "</span>
<span class="s2">"`cuda`. You can specify it in `device:backend` format in "</span>
<span class="s2">"`init_process_group` call."</span>
<span class="p">)</span>
<span class="n">backend_val</span> <span class="o">=</span> <span class="n">Backend</span><span class="p">(</span><span class="n">backend</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span> <span class="o">=</span> <span class="p">{</span>
<span class="s2">"cpu"</span> <span class="p">:</span> <span class="n">backend_val</span><span class="p">,</span>
<span class="s2">"cuda"</span> <span class="p">:</span> <span class="n">backend_val</span><span class="p">,</span>
<span class="s2">"xpu"</span> <span class="p">:</span> <span class="n">backend_val</span><span class="p">,</span>
<span class="p">}</span>
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
<span class="sa">f</span><span class="s2">"Using backend config: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span><span class="si">}</span><span class="s2">"</span> <span class="c1"># noqa: G004</span>
<span class="p">)</span>
<span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Return all the device:backend pairs separated by commas."""</span>
<span class="k">return</span> <span class="s2">","</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">device</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="n">backend</span><span class="si">}</span><span class="s2">"</span> <span class="k">for</span> <span class="n">device</span><span class="p">,</span> <span class="n">backend</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span><span class="o">.</span><span class="n">items</span><span class="p">())</span>
<span class="k">def</span> <span class="nf">get_device_backend_map</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Return backend map of the device."""</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">device_backend_map</span>
<span class="k">class</span> <span class="nc">_reduce_op</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""</span>
<span class="sd"> Deprecated enum-like class.</span>
<span class="sd"> For reduction operations: ``SUM``, ``PRODUCT``, ``MIN``, and ``MAX``.</span>
<span class="sd"> :class:`~torch.distributed.ReduceOp` is recommended to use instead.</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># __members__ is a dict storing key-value pairs for enum classes</span>
<span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">ReduceOp</span><span class="o">.</span><span class="n">RedOpType</span><span class="o">.</span><span class="n">__members__</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">__members__</span> <span class="o">=</span> <span class="n">ReduceOp</span><span class="o">.</span><span class="n">RedOpType</span><span class="o">.</span><span class="n">__members__</span>
<span class="k">def</span> <span class="fm">__getattribute__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">):</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span>
<span class="s2">"torch.distributed.reduce_op is deprecated, please use "</span>
<span class="s2">"torch.distributed.ReduceOp instead"</span>
<span class="p">)</span>
<span class="k">return</span> <span class="nb">object</span><span class="o">.</span><span class="fm">__getattribute__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">)</span>
<span class="n">reduce_op</span> <span class="o">=</span> <span class="n">_reduce_op</span><span class="p">()</span>
<div class="viewcode-block" id="P2POp"><a class="viewcode-back" href="../../../distributed.html#torch.distributed.P2POp">[docs]</a><span class="k">class</span> <span class="nc">P2POp</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> A class to build point-to-point operations for ``batch_isend_irecv``.</span>
<span class="sd"> This class builds the type of P2P operation, communication buffer, peer rank,</span>
<span class="sd"> Process Group, and tag. Instances of this class will be passed to</span>
<span class="sd"> ``batch_isend_irecv`` for point-to-point communications.</span>
<span class="sd"> Args:</span>
<span class="sd"> op (Callable): A function to send data to or receive data from a peer process.</span>
<span class="sd"> The type of ``op`` is either ``torch.distributed.isend`` or</span>
<span class="sd"> ``torch.distributed.irecv``.</span>
<span class="sd"> tensor (Tensor): Tensor to send or receive.</span>
<span class="sd"> peer (int): Destination or source rank.</span>
<span class="sd"> group (ProcessGroup, optional): The process group to work on. If None,</span>
<span class="sd"> the default process group will be used.</span>
<span class="sd"> tag (int, optional): Tag to match send with recv.</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">op</span><span class="p">:</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">tensor</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">peer</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">group</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">tag</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Init."""</span>
<span class="bp">self</span><span class="o">.</span><span class="n">op</span> <span class="o">=</span> <span class="n">op</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tensor</span> <span class="o">=</span> <span class="n">tensor</span>
<span class="bp">self</span><span class="o">.</span><span class="n">peer</span> <span class="o">=</span> <span class="n">peer</span>
<span class="bp">self</span><span class="o">.</span><span class="n">group</span> <span class="o">=</span> <span class="n">group</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag</span> <span class="o">=</span> <span class="n">tag</span>
<span class="k">def</span> <span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">op</span><span class="p">:</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">tensor</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">peer</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">group</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">tag</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Create and return a new instance of the class."""</span>
<span class="n">_check_op</span><span class="p">(</span><span class="n">op</span><span class="p">)</span>
<span class="n">_check_single_tensor</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="s2">"tensor"</span><span class="p">)</span>
<span class="k">return</span> <span class="nb">object</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span></div>
<span class="k">class</span> <span class="nc">_CollOp</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> A class to capture collective operations.</span>
<span class="sd"> Args:</span>
<span class="sd"> op (Callable): A collective function, e.g. ``torch.distributed.all_reduce``.</span>
<span class="sd"> tensor (Tensor): Tensor to operate on.</span>
<span class="sd"> dst_tensor (Tensor, optional): Provided when source and destinaton tensors are not the same.</span>
<span class="sd"> redop (ReduceOp, optional): reduce operation.</span>
<span class="sd"> root (int, optional): root of broadcast or reduce.</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">op</span><span class="p">:</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">tensor</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">dst_tensor</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">redop</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">ReduceOp</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">root</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">op</span> <span class="o">=</span> <span class="n">op</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tensor</span> <span class="o">=</span> <span class="n">tensor</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dst_tensor</span> <span class="o">=</span> <span class="n">dst_tensor</span>
<span class="bp">self</span><span class="o">.</span><span class="n">redop</span> <span class="o">=</span> <span class="n">redop</span>
<span class="bp">self</span><span class="o">.</span><span class="n">root</span> <span class="o">=</span> <span class="n">root</span>
<span class="c1"># DO NOT USE THESE FIELDS DIRECTLY.</span>
<span class="c1"># Use them through the _world object to make sure the _world override mechanism</span>
<span class="n">_pg_map</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Store</span><span class="p">]]]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">_pg_names</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">_pg_group_ranks</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="c1"># For a pg, it is a map from ProcessGroup to BackendConfig</span>
<span class="n">_pg_backend_config</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">_group_count</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">_tags_to_pg</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">_pg_to_tag</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">class</span> <span class="nc">_World</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Container class for c10d process group state.</span>
<span class="sd"> This is used during registration and lookup of PG state.</span>
<span class="sd"> .. warning:: This is an experimental API intended to expose the inner workings</span>
<span class="sd"> of c10d and is subject to change..</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_default_pg</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pg_coalesce_state</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">_CollOp</span><span class="p">,</span> <span class="n">P2POp</span><span class="p">]]]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pg_default_device</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">default_pg</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Process group that includes all ranks of the cluster.</span>
<span class="sd"> This default ProcessGroup is used by c10d APIs when a ProcessGroup is needed</span>
<span class="sd"> but None is provided.</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_default_pg</span>
<span class="nd">@default_pg</span><span class="o">.</span><span class="n">setter</span>
<span class="k">def</span> <span class="nf">default_pg</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_default_pg</span> <span class="o">=</span> <span class="n">value</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">pg_map</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Store</span><span class="p">]]]:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Provide Mapping from ProcessGroup to backend name and store.</span>
<span class="sd"> For NCCL and GLOO pg, it is a map from ProcessGroup to (Backend, Store)</span>
<span class="sd"> For MPI pg, it is a map from ProcessGroup to (Backend, None)</span>
<span class="sd"> TODO don't expose the map, expose fine grained ops</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_pg_map</span>
<span class="k">return</span> <span class="n">_pg_map</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">pg_names</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="nb">str</span><span class="p">]:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Process group's names, map from ProcessGroup to str.</span>
<span class="sd"> TODO don't expose the map, expose fine grained ops</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_pg_names</span>
<span class="k">return</span> <span class="n">_pg_names</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">pg_group_ranks</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Process group's global rank to local rank mapping.</span>
<span class="sd"> TODO don't expose the map, expose fine grained ops</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_pg_group_ranks</span>
<span class="k">return</span> <span class="n">_pg_group_ranks</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">pg_backend_config</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="nb">str</span><span class="p">]:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Process group's backend config.</span>
<span class="sd"> TODO don't expose the map, expose fine grained ops</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_pg_backend_config</span>
<span class="k">return</span> <span class="n">_pg_backend_config</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">group_count</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="nb">int</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Process group count for default naming.</span>
<span class="sd"> TODO don't expose group_count, use something else instead</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_group_count</span>
<span class="k">return</span> <span class="n">_group_count</span>
<span class="nd">@group_count</span><span class="o">.</span><span class="n">setter</span>
<span class="k">def</span> <span class="nf">group_count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Use to compute the name of ProcessGroups when using global synchronization."""</span>
<span class="k">global</span> <span class="n">_group_count</span>
<span class="n">_group_count</span> <span class="o">=</span> <span class="n">value</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">tags_to_pg</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">]]:</span>
<span class="k">global</span> <span class="n">_tags_to_pg</span>
<span class="k">return</span> <span class="n">_tags_to_pg</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">pg_to_tag</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="n">ProcessGroup</span><span class="p">,</span> <span class="nb">str</span><span class="p">]:</span>
<span class="k">global</span> <span class="n">_pg_to_tag</span>
<span class="k">return</span> <span class="n">_pg_to_tag</span>
<span class="nd">@property</span>