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Expose a set of observability hooks into C10D such that our users can
detect collectives failure both faster and more easily.
The design is similar to NCCL desync debug that it minimized the
overhead by doing most of the work out of the main thread.
This PR introduces a new module torch.distributed.hooks that exposes the following set of methods:
register_collective_start_hook
register_collective_end_hook
register_process_group_hook
The process group hook exposes PG creation on the member ranks and call them inline from the
the PG creation code. This is fine since this happens during initialization and a limited number of times.
The collective start/end hooks are fired from a single background thread. It reads
events from a C++ queue and dispatches over.
Queue notification is oddly done using a pipe, this is needed so python can abort the thread on shutdown
and have it as background thread. This is not possible with more reasonable choices like a condvar.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/108815
Approved by: https://github.com/wconstab, https://github.com/fduwjj
383 lines
12 KiB
C++
383 lines
12 KiB
C++
#pragma once
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#include <condition_variable>
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#include <memory>
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#include <mutex>
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#include <stdexcept>
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#include <unordered_map>
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#include <utility>
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#include <vector>
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#include <ATen/ATen.h>
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#include <c10/macros/Macros.h>
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#include <torch/csrc/distributed/c10d/Types.hpp>
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#include <torch/csrc/distributed/c10d/Utils.hpp>
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#include <torch/csrc/distributed/c10d/Work.hpp>
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#include <torch/csrc/distributed/c10d/debug.h>
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constexpr auto kBackendDefaultTimeout =
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std::chrono::milliseconds(30 * 60 * 1000);
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namespace c10d {
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class TORCH_API Backend : public torch::CustomClassHolder {
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public:
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// Backend Options is a base struct that defines the basic options
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// when constructing a Backend. Each Backend subclass should
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// extend this struct and define its options if it wants to provide more
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// config options (beyond basic ones defined here) to end user.
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struct TORCH_API Options : torch::CustomClassHolder {
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explicit Options(
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std::string backend,
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std::chrono::milliseconds timeout = kBackendDefaultTimeout)
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: timeout(timeout), backend(std::move(backend)) {}
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~Options() override = default;
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std::chrono::milliseconds timeout;
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// backend name
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const std::string backend;
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};
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explicit Backend(int rank, int size);
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~Backend() override = 0;
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int getRank() const {
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return rank_;
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}
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int getSize() const {
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return size_;
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}
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// Returns an unique opaque ID of this backend that can be used to correlate
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// with its collectives.
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int64_t getID() const {
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return reinterpret_cast<std::intptr_t>(this);
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}
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virtual void startCoalescing() {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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getBackendName(),
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" does not implement startCoalescing"));
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}
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virtual c10::intrusive_ptr<Work> endCoalescing() {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ", getBackendName(), " does not implement endCoalescing"));
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}
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// Subclasses must override this method to return the backend name
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virtual const std::string getBackendName() const {
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TORCH_INTERNAL_ASSERT(false, "getBackendName is not implemented.");
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};
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virtual c10::intrusive_ptr<Work> broadcast(
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std::vector<at::Tensor>& /* tensors */,
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const BroadcastOptions& /* opts */ = BroadcastOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support broadcast"));
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}
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virtual c10::intrusive_ptr<Work> allreduce(
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std::vector<at::Tensor>& /* tensors */,
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const AllreduceOptions& /* opts */ = AllreduceOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support allreduce"));
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}
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virtual c10::intrusive_ptr<Work> allreduce_sparse(
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std::vector<at::Tensor>& /* tensors */,
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const AllreduceOptions& /* opts */ = AllreduceOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), "does not support allreduce"));
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}
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virtual c10::intrusive_ptr<Work> allreduce_coalesced(
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std::vector<at::Tensor>& /* tensors */,
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const AllreduceCoalescedOptions& /* opts */ =
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AllreduceCoalescedOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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getBackendName(),
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" does not support allreduce_coalesced"));
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}
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virtual c10::intrusive_ptr<Work> reduce(
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std::vector<at::Tensor>& /* tensors */,
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const ReduceOptions& /* opts */ = ReduceOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support reduce"));
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}
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virtual c10::intrusive_ptr<Work> allgather(
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std::vector<std::vector<at::Tensor>>& /* outputTensors */,
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std::vector<at::Tensor>& /* inputTensors */,
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const AllgatherOptions& /* opts */ = AllgatherOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support allgather"));
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}
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// Gathers a single tensor inputBuffer into a single buffer outputBuffer that
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// is interpreted as a contiguous collection of size inputBuffer * WORLD_SIZE.
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// For implementers of ProcessGroup API and advanced users only.
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// Note: this function will be deprecated in near future.
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virtual c10::intrusive_ptr<Work> _allgather_base(
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at::Tensor& /* outputBuffer */,
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at::Tensor& /* inputBuffer */,
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const AllgatherOptions& /* opts */ = AllgatherOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ", getBackendName(), " does not support _allgather_base"));
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}
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// This function is deprecated and will be moved out of Backend to comms:
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// * do not add dependencies on this function,
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// * do not implement it in your Backend, implement _allgather_base
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// instead.
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virtual c10::intrusive_ptr<Work> allgather_coalesced(
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std::vector<std::vector<at::Tensor>>& /* outputTensorLists */,
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std::vector<at::Tensor>& /* inputTensors */,
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const AllgatherOptions& /* opts */ = AllgatherOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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getBackendName(),
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" does not support allgather_coalesced"));
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}
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// This function is a coalesced version of `allgather_into_tensor` (currently
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// still named as `_allgather_base`). Each tensor in the vector corresponds to
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// an input/output of one `allgather_into_tensor` operation.
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virtual c10::intrusive_ptr<Work> allgather_into_tensor_coalesced(
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std::vector<at::Tensor>& /* outputs */,
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std::vector<at::Tensor>& /* inputs */,
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const AllgatherOptions& /* opts */ = AllgatherOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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getBackendName(),
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" does not support allgather_into_tensor_coalesced"));
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}
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virtual c10::intrusive_ptr<Work> gather(
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std::vector<std::vector<at::Tensor>>& /* outputTensors */,
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std::vector<at::Tensor>& /* inputTensors */,
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const GatherOptions& /* opts */ = GatherOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support gather"));
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}
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virtual c10::intrusive_ptr<Work> scatter(
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std::vector<at::Tensor>& /* outputTensors */,
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std::vector<std::vector<at::Tensor>>& /* inputTensors */,
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const ScatterOptions& /* opts */ = ScatterOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support scatter"));
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}
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virtual c10::intrusive_ptr<Work> reduce_scatter(
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std::vector<at::Tensor>& /* outputTensors */,
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std::vector<std::vector<at::Tensor>>& /* inputTensors */,
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const ReduceScatterOptions& /* opts */ = ReduceScatterOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ", getBackendName(), " does not support reduce_scatter"));
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}
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virtual c10::intrusive_ptr<Work> _reduce_scatter_base(
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at::Tensor& /* outputBuffer */,
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at::Tensor& /* inputBuffer */,
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const ReduceScatterOptions& /* opts */ = ReduceScatterOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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getBackendName(),
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" does not support _reduce_scatter_base"));
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}
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// This function is a coalesced version of `reduce_scatter_tensor` (currently
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// still named as `_reduce_scatter_base`). Each tensor in the vector
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// corresponds to an input/output of one `reduce_scatter_tensor` operation.
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virtual c10::intrusive_ptr<Work> reduce_scatter_tensor_coalesced(
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std::vector<at::Tensor>& /* outputs */,
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std::vector<at::Tensor>& /* inputs */,
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const ReduceScatterOptions& /* opts */ = ReduceScatterOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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getBackendName(),
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" does not support reduce_scatter_tensor_coalesced"));
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}
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virtual c10::intrusive_ptr<Work> alltoall_base(
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at::Tensor& /* outputBuffer */,
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at::Tensor& /* inputBuffer */,
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std::vector<int64_t>& /* outputSplitSizes */,
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std::vector<int64_t>& /* inputSplitSizes */,
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const AllToAllOptions& /* opts */ = AllToAllOptions()) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ", getBackendName(), " does not support alltoall_base"));
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}
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virtual c10::intrusive_ptr<Work> alltoall(
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std::vector<at::Tensor>& /* outputTensors */,
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std::vector<at::Tensor>& /* inputTensors */,
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const AllToAllOptions& opts = AllToAllOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support alltoall"));
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}
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virtual void monitoredBarrier(
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const BarrierOptions& /* unused */,
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bool /* unused */ = false) {
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auto backendName = getBackendName();
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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backendName,
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" does not support monitoredBarrier, only GLOO supports monitored barrier."));
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}
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// Agrees on an initial sequence number for the whole group by having rank 0
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// create it and broadcast it to other ranks using the store. Only implemented
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// for GLOO and NCCL backends currently.
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virtual void setSequenceNumberForGroup() {
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auto backendName = getBackendName();
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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backendName,
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" does not yet support sequence numbers."));
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}
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// Retrieves the current sequence number for the whole group, which should be
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// in sync. If the returned number is not consistent across the group, it
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// may indicate that there is some sort of collective desynchronization.
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virtual uint64_t getSequenceNumberForGroup() {
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auto backendName = getBackendName();
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ",
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backendName,
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" does not yet support sequence numbers."));
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}
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virtual c10::intrusive_ptr<Work> send(
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std::vector<at::Tensor>& /* tensors */,
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int /* dstRank */,
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int /* tag */) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support send"));
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}
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virtual c10::intrusive_ptr<Work> recv(
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std::vector<at::Tensor>& /* tensors */,
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int /* srcRank */,
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int /* tag */) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support recv"));
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}
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virtual c10::intrusive_ptr<Work> recvAnysource(
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std::vector<at::Tensor>& /* tensors */,
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int /* tag */) {
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TORCH_CHECK(
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false,
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c10::str(
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"Backend ", getBackendName(), " does not support recvAnysource"));
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}
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virtual c10::intrusive_ptr<Work> barrier(
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const BarrierOptions& /* opts */ = BarrierOptions()) {
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TORCH_CHECK(
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false,
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c10::str("Backend ", getBackendName(), " does not support barrier"));
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}
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virtual void registerOnCompletionHook(
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std::function<void(std::shared_ptr<WorkInfo>)>&& hook) {
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TORCH_CHECK(
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false,
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"Only ProcessGrouppNCCL supports onCompletion hook, but got ",
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getBackendName(),
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" backend.");
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}
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virtual void waitForPendingWorks() {
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TORCH_CHECK(
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false,
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"Only ProcessGrouppNCCL supports waitForPendingWorks, but got ",
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getBackendName(),
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" backend.");
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}
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virtual void enableCollectivesTiming() {
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TORCH_CHECK(
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false,
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"Backend ",
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getBackendName(),
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" is missing implementation of enableCollectivesTiming.");
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}
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bool hasHooks() const {
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return onCompletionHook_ != nullptr;
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}
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// Do not call this directly, use ProcessGroup::setGroupName instead.
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void setGroupName(const std::string& name) {
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pg_name_ = name;
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}
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const std::string& getGroupName() const {
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return pg_name_;
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}
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protected:
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// Implementations of this interface need to call this to setup
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// appropriate logging etc.
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void init();
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void emitCollectiveStart(const Work& work);
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void emitCollectiveEnd(const Work& work);
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const int rank_;
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const int size_;
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// Debug level setting. It is parsed once when ProcessGroup is constructed and
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// remains the same across use of this process group.
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DebugLevel dist_debug_level_;
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std::string pg_name_;
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std::function<void(std::shared_ptr<WorkInfo>)> onCompletionHook_;
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};
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} // namespace c10d
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