Skip to content

[DDP] Enhance comm hook docs #61677

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 2 commits into from

Conversation

rohan-varma
Copy link
Member

@rohan-varma rohan-varma commented Jul 14, 2021

Stack from ghstack:

Specify return type more clearly, 2) Misc fixes

Differential Revision: D29701384

Specify return type more clearly, 2) Misc fixes

Differential Revision: [D29701384](https://our.internmc.facebook.com/intern/diff/D29701384/)

[ghstack-poisoned]
@facebook-github-bot
Copy link
Contributor

facebook-github-bot commented Jul 14, 2021

💊 CI failures summary and remediations

As of commit f894844 (more details on the Dr. CI page and at hud.pytorch.org/pr/61677):



🕵️ 1 new failure recognized by patterns

The following CI failures do not appear to be due to upstream breakages:

See CircleCI build pytorch_macos_10_13_py3_test (1/1)

Step: "Test" (full log | diagnosis details | 🔁 rerun)

Jul 16 04:20:31 test_remote_message_script_de...yUniqueId(created_on=0, local_id=0) to be created.
Jul 16 04:20:03 frame #12: std::__1::__function::__func<std::__1::__bind<torch::distributed::rpc::ProcessGroupAgent::enqueueRecv(torch::distributed::rpc::RecvWork)::$_6, torch::distributed::rpc::RecvWork>, std::__1::allocator<std::__1::__bind<torch::distributed::rpc::ProcessGroupAgent::enqueueRecv(torch::distributed::rpc::RecvWork)::$_6, torch::distributed::rpc::RecvWork> >, void ()>::operator()() + 42 (0x114c6ab7a in libtorch_cpu.dylib)
Jul 16 04:20:03 frame #13: c10::ThreadPool::main_loop(unsigned long) + 569 (0x10e753369 in libc10.dylib)
Jul 16 04:20:03 frame #14: void* std::__1::__thread_proxy<std::__1::tuple<std::__1::unique_ptr<std::__1::__thread_struct, std::__1::default_delete<std::__1::__thread_struct> >, c10::ThreadPool::ThreadPool(int, int, std::__1::function<void ()>)::$_0> >(void*) + 67 (0x10e753a13 in libc10.dylib)
Jul 16 04:20:03 frame #15: _pthread_start + 148 (0x7fff6775f109 in libsystem_pthread.dylib)
Jul 16 04:20:03 frame #16: thread_start + 15 (0x7fff6775ab8b in libsystem_pthread.dylib)
Jul 16 04:20:03 
Jul 16 04:20:04 ok (4.233s)
Jul 16 04:20:12   test_remote_message_dropped_pickle (__main__.FaultyFaultyAgentRpcTestWithSpawn) ... ok (8.221s)
Jul 16 04:20:20   test_remote_message_dropped_pickle_to_self (__main__.FaultyFaultyAgentRpcTestWithSpawn) ... ok (8.294s)
Jul 16 04:20:27   test_remote_message_script_delay_timeout (__main__.FaultyFaultyAgentRpcTestWithSpawn) ... ok (7.302s)
Jul 16 04:20:31   test_remote_message_script_delay_timeout_to_self (__main__.FaultyFaultyAgentRpcTestWithSpawn) ... [E request_callback_no_python.cpp:555] Received error while processing request type 260: falseINTERNAL ASSERT FAILED at "../torch/csrc/distributed/rpc/rref_context.cpp":390, please report a bug to PyTorch. Expected OwnerRRef with id GloballyUniqueId(created_on=0, local_id=0) to be created.
Jul 16 04:20:31 Exception raised from getOwnerRRef at ../torch/csrc/distributed/rpc/rref_context.cpp:390 (most recent call first):
Jul 16 04:20:31 frame #0: c10::Error::Error(c10::SourceLocation, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >) + 98 (0x112e4d6b2 in libc10.dylib)
Jul 16 04:20:31 frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&) + 106 (0x112e4be2a in libc10.dylib)
Jul 16 04:20:31 frame #2: c10::detail::torchInternalAssertFail(char const*, char const*, unsigned int, char const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&) + 64 (0x112e4c060 in libc10.dylib)
Jul 16 04:20:31 frame #3: torch::distributed::rpc::RRefContext::getOwnerRRef(torch::distributed::rpc::GloballyUniqueId const&, bool) + 1711 (0x11d62f07f in libtorch_cpu.dylib)
Jul 16 04:20:31 frame #4: torch::distributed::rpc::RequestCallbackNoPython::assignOwnerRRef(torch::distributed::rpc::GloballyUniqueId const&, torch::distributed::rpc::GloballyUniqueId const&, c10::intrusive_ptr<c10::ivalue::Future, c10::detail::intrusive_target_default_null_type<c10::ivalue::Future> >) const + 86 (0x11d6198d6 in libtorch_cpu.dylib)
Jul 16 04:20:31 frame #5: torch::distributed::rpc::RequestCallbackImpl::processScriptRemoteCall(torch::distributed::rpc::RpcCommandBase&, std::__1::vector<c10::Stream, std::__1::allocator<c10::Stream> >) const + 376 (0x1196d07a8 in libtorch_python.dylib)
Jul 16 04:20:31 frame #6: torch::distributed::rpc::RequestCallbackNoPython::processRpc(torch::distributed::rpc::RpcCommandBase&, torch::distributed::rpc::MessageType const&, std::__1::vector<c10::Stream, std::__1::allocator<c10::Stream> >) const + 437 (0x11d618525 in libtorch_cpu.dylib)
Jul 16 04:20:31 frame #7: torch::distributed::rpc::RequestCallbackImpl::processRpcWithErrors(torch::distributed::rpc::RpcCommandBase&, torch::distributed::rpc::MessageType const&, std::__1::vector<c10::Stream, std::__1::allocator<c10::Stream> >) const + 74 (0x1196d151a in libtorch_python.dylib)
Jul 16 04:20:31 frame #8: c10::intrusive_ptr<c10::ivalue::Future, c10::detail::intrusive_target_default_null_type<c10::ivalue::Future> > c10::ivalue::Future::thenAsync<torch::distributed::rpc::RequestCallbackNoPython::processMessage(torch::distributed::rpc::Message&, std::__1::vector<c10::Stream, std::__1::allocator<c10::Stream> >) const::$_1>(torch::distributed::rpc::RequestCallbackNoPython::processMessage(torch::distributed::rpc::Message&, std::__1::vector<c10::Stream, std::__1::allocator<c10::Stream> >) const::$_1, std::__1::shared_ptr<c10::Type>)::'lambda'(c10::ivalue::Future&)::operator()(c10::ivalue::Future&) + 223 (0x11d6201ef in libtorch_cpu.dylib)

1 failure not recognized by patterns:

Job Step Action
GitHub Actions Linux CI (pytorch-linux-xenial-py3.6-gcc5.4) / pytorch_python_doc_build Build Python Doc in Docker 🔁 rerun

❄️ 1 failure tentatively classified as flaky

but reruns have not yet been triggered to confirm:

See CircleCI build pytorch_linux_xenial_py3_clang5_asan_build (1/1)

Step: "Build" (full log | diagnosis details | 🔁 rerun) ❄️

Failed to recurse into submodule path 'third_party/onnx-tensorrt'
 * branch            6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5 -> FETCH_HEAD
remote: Total 0 (delta 0), reused 0 (delta 0), pack-reused 0        
remote: Enumerating objects: 610, done.        
remote: Counting objects:   0% (1/610)        
remote: Counting objects:   1% (7/610)        
remote: Counting objects:   2% (13/610)        
remote: Counting objects:   3% (19/610)        
remote: Counting objects:   4% (25/610)        
remote: Counting objects:   5% (31/610)        
remote: Counting objects:   6% (37/610)        
remote: Counting objects:   7% (43/610)        
remote: Counting objects:   8% (49/610)        
remote: Counting objects:   9% (55/610)        
remote: Counting objects:  10% (61/610)        
remote: Counting objects:  11% (68/610)        
remote: Counting objects:  12% (74/610)        
remote: Counting objects:  13% (80/610)        
remote: Counting objects:  14% (86/610)        
remote: Counting objects:  15% (92/610)        
remote: Counting objects:  16% (98/610)        
remote: Counting objects:  17% (104/610)        
remote: Counting objects:  18% (110/610)        
remote: Counting objects:  19% (116/610)        
remote: Counting objects:  20% (122/610)        
remote: Counting objects:  21% (129/610)        
remote: Counting objects:  22% (135/610)        
remote: Counting objects:  23% (141/610)        
remote: Counting objects:  24% (147/610)        
remote: Counting objects:  25% (153/610)        
remote: Counting objects:  26% (159/610)        
remote: Counting objects:  27% (165/610)        
remote: Counting objects:  28% (171/610)        
remote: Counting objects:  29% (177/610)        
remote: Counting objects:  30% (183/610)        
remote: Counting objects:  31% (190/610)        
remote: Counting objects:  32% (196/610)        
remote: Counting objects:  33% (202/610)        
remote: Counting objects:  34% (208/610)        
remote: Counting objects:  35% (214/610)        
remote: Counting objects:  36% (220/610)        
remote: Counting objects:  37% (226/610)        
remote: Counting objects:  38% (232/610)        
remote: Counting objects:  39% (238/610)        
remote: Counting objects:  40% (244/610)        
remote: Counting objects:  41% (251/610)        
remote: Counting objects:  42% (257/610)        
remote: Counting objects:  43% (263/610)        
remote: Counting objects:  44% (269/610)        
remote: Counting objects:  45% (275/610)        
remote: Counting objects:  46% (281/610)        
remote: Counting objects:  47% (287/610)        
remote: Counting objects:  48% (293/610)        
remote: Counting objects:  49% (299/610)        
remote: Counting objects:  50% (305/610)        
remote: Counting objects:  51% (312/610)        
remote: Counting objects:  52% (318/610)        
remote: Counting objects:  53% (324/610)        
remote: Counting objects:  54% (330/610)        
remote: Counting objects:  55% (336/610)        
remote: Counting objects:  56% (342/610)        
remote: Counting objects:  57% (348/610)        
remote: Counting objects:  58% (354/610)        
remote: Counting objects:  59% (360/610)        
remote: Counting objects:  60% (366/610)        
remote: Counting objects:  61% (373/610)        
remote: Counting objects:  62% (379/610)        
remote: Counting objects:  63% (385/610)        
remote: Counting objects:  64% (391/610)        
remote: Counting objects:  65% (397/610)        
remote: Counting objects:  66% (403/610)        
remote: Counting objects:  67% (409/610)        
remote: Counting objects:  68% (415/610)        
remote: Counting objects:  69% (421/610)        
remote: Counting objects:  70% (427/610)        
remote: Counting objects:  71% (434/610)        
remote: Counting objects:  72% (440/610)        
remote: Counting objects:  73% (446/610)        
remote: Counting objects:  74% (452/610)        
remote: Counting objects:  75% (458/610)        
remote: Counting objects:  76% (464/610)        
remote: Counting objects:  77% (470/610)        
remote: Counting objects:  78% (476/610)        
remote: Counting objects:  79% (482/610)        
remote: Counting objects:  80% (488/610)        
remote: Counting objects:  81% (495/610)        
remote: Counting objects:  82% (501/610)        
remote: Counting objects:  83% (507/610)        
remote: Counting objects:  84% (513/610)        
remote: Counting objects:  85% (519/610)        
remote: Counting objects:  86% (525/610)        
remote: Counting objects:  87% (531/610)        
remote: Counting objects:  88% (537/610)        
remote: Counting objects:  89% (543/610)        
remote: Counting objects:  90% (549/610)        
remote: Counting objects:  91% (556/610)        
remote: Counting objects:  92% (562/610)        
remote: Counting objects:  93% (568/610)        
remote: Counting objects:  94% (574/610)        
remote: Counting objects:  95% (580/610)        
remote: Counting objects:  96% (586/610)        
remote: Counting objects:  97% (592/610)        
remote: Counting objects:  98% (598/610)        
remote: Counting objects:  99% (604/610)        
remote: Counting objects: 100% (610/610)        
remote: Counting objects: 100% (610/610), done.        
remote: Compressing objects:   0% (1/323)        
remote: Compressing objects:   1% (4/323)        
remote: Compressing objects:   2% (7/323)        
remote: Compressing objects:   3% (10/323)        
remote: Compressing objects:   4% (13/323)        
remote: Compressing objects:   5% (17/323)        
remote: Compressing objects:   6% (20/323)        
remote: Compressing objects:   7% (23/323)        
remote: Compressing objects:   8% (26/323)        
remote: Compressing objects:   9% (30/323)        
remote: Compressing objects:  10% (33/323)        
remote: Compressing objects:  11% (36/323)        
remote: Compressing objects:  12% (39/323)        
remote: Compressing objects:  13% (42/323)        
remote: Compressing objects:  14% (46/323)        
remote: Compressing objects:  15% (49/323)        
remote: Compressing objects:  16% (52/323)        
remote: Compressing objects:  17% (55/323)        
remote: Compressing objects:  18% (59/323)        
remote: Compressing objects:  19% (62/323)        
remote: Compressing objects:  20% (65/323)        
remote: Compressing objects:  21% (68/323)        
remote: Compressing objects:  22% (72/323)        
remote: Compressing objects:  23% (75/323)        
remote: Compressing objects:  24% (78/323)        
remote: Compressing objects:  25% (81/323)        
remote: Compressing objects:  26% (84/323)        
remote: Compressing objects:  27% (88/323)        
remote: Compressing objects:  28% (91/323)        
remote: Compressing objects:  29% (94/323)        
remote: Compressing objects:  30% (97/323)        
remote: Compressing objects:  31% (101/323)        
remote: Compressing objects:  32% (104/323)        
remote: Compressing objects:  33% (107/323)        
remote: Compressing objects:  34% (110/323)        
remote: Compressing objects:  35% (114/323)        
remote: Compressing objects:  36% (117/323)        
remote: Compressing objects:  37% (120/323)        
remote: Compressing objects:  38% (123/323)        
remote: Compressing objects:  39% (126/323)        
remote: Compressing objects:  40% (130/323)        
remote: Compressing objects:  41% (133/323)        
remote: Compressing objects:  42% (136/323)        
remote: Compressing objects:  43% (139/323)        
remote: Compressing objects:  44% (143/323)        
remote: Compressing objects:  45% (146/323)        
remote: Compressing objects:  46% (149/323)        
remote: Compressing objects:  47% (152/323)        
remote: Compressing objects:  48% (156/323)        
remote: Compressing objects:  49% (159/323)        
remote: Compressing objects:  50% (162/323)        
remote: Compressing objects:  51% (165/323)        
remote: Compressing objects:  52% (168/323)        
remote: Compressing objects:  53% (172/323)        
remote: Compressing objects:  54% (175/323)        
remote: Compressing objects:  55% (178/323)        
remote: Compressing objects:  56% (181/323)        
remote: Compressing objects:  57% (185/323)        
remote: Compressing objects:  58% (188/323)        
remote: Compressing objects:  59% (191/323)        
remote: Compressing objects:  60% (194/323)        
remote: Compressing objects:  61% (198/323)        
remote: Compressing objects:  62% (201/323)        
remote: Compressing objects:  63% (204/323)        
remote: Compressing objects:  64% (207/323)        
remote: Compressing objects:  65% (210/323)        
remote: Compressing objects:  66% (214/323)        
remote: Compressing objects:  67% (217/323)        
remote: Compressing objects:  68% (220/323)        
remote: Compressing objects:  69% (223/323)        
remote: Compressing objects:  70% (227/323)        
remote: Compressing objects:  71% (230/323)        
remote: Compressing objects:  72% (233/323)        
remote: Compressing objects:  73% (236/323)        
remote: Compressing objects:  74% (240/323)        
remote: Compressing objects:  75% (243/323)        
remote: Compressing objects:  76% (246/323)        
remote: Compressing objects:  77% (249/323)        
remote: Compressing objects:  78% (252/323)        
remote: Compressing objects:  79% (256/323)        
remote: Compressing objects:  80% (259/323)        
remote: Compressing objects:  81% (262/323)        
remote: Compressing objects:  82% (265/323)        
remote: Compressing objects:  83% (269/323)        
remote: Compressing objects:  84% (272/323)        
remote: Compressing objects:  85% (275/323)        
remote: Compressing objects:  86% (278/323)        
remote: Compressing objects:  87% (282/323)        
remote: Compressing objects:  88% (285/323)        
remote: Compressing objects:  89% (288/323)        
remote: Compressing objects:  90% (291/323)        
remote: Compressing objects:  91% (294/323)        
remote: Compressing objects:  92% (298/323)        
remote: Compressing objects:  93% (301/323)        
remote: Compressing objects:  94% (304/323)        
remote: Compressing objects:  95% (307/323)        
remote: Compressing objects:  96% (311/323
Receiving objects:   0% (1/370)
Receiving objects:   1% (4/370)
Receiving objects:   2% (8/370)
Receiving objects:   3% (12/370)
Receiving objects:   4% (15/370)
Receiving objects:   5% (19/370)
Receiving objects:   6% (23/370)
Receiving objects:   7% (26/370)
Receiving objects:   8% (30/370)
Receiving objects:   9% (34/370)
Receiving objects:  10% (37/370)
Receiving objects:  11% (41/370)
Receiving objects:  12% (45/370)
Receiving objects:  13% (49/370)
Receiving objects:  14% (52/370)
Receiving objects:  15% (56/370)
Receiving objects:  16% (60/370)
Receiving objects:  17% (63/370)
Receiving objects:  18% (67/370)
Receiving objects:  19% (71/370)
Receiving objects:  20% (74/370)
Receiving objects:  21% (78/370)
Receiving objects:  22% (82/370)
Receiving objects:  23% (86/370)
Receiving objects:  24% (89/370)
Receiving objects:  25% (93/370)
Receiving objects:  26% (97/370)
Receiving objects:  27% (100/370)
Receiving objects:  28% (104/370)
Receiving objects:  29% (108/370)
Receiving objects:  30% (111/370)
Receiving objects:  31% (115/370)
Receiving objects:  32% (119/370)
Receiving objects:  33% (123/370)
Receiving objects:  34% (126/370)
Receiving objects:  35% (130/370)
Receiving objects:  36% (134/370)
Receiving objects:  37% (137/370)
Receiving objects:  38% (141/370)
Receiving objects:  39% (145/370)
Receiving objects:  40% (148/370)
Receiving objects:  41% (152/370)
Receiving objects:  42% (156/370)
Receiving objects:  43% (160/370)
Receiving objects:  44% (163/370)
Receiving objects:  45% (167/370)
Receiving objects:  46% (171/370)
Receiving objects:  47% (174/370)
Receiving objects:  48% (178/370)
Receiving objects:  49% (182/370)
Receiving objects:  50% (185/370)
Receiving objects:  51% (189/370)
Receiving objects:  52% (193/370)
Receiving objects:  53% (197/370)
Receiving objects:  54% (200/370)
Receiving objects:  55% (204/370)
Receiving objects:  56% (208/370)
Receiving objects:  57% (211/370)
Receiving objects:  58% (215/370)
Receiving objects:  59% (219/370)
Receiving objects:  60% (222/370)
Receiving objects:  61% (226/370)
Receiving objects:  62% (230/370)
Receiving objects:  63% (234/370)
Receiving objects:  64% (237/370)
Receiving objects:  65% (241/370)
Receiving objects:  66% (245/370)
Receiving objects:  67% (248/370)
Receiving objects:  68% (252/370)
Receiving objects:  69% (256/370)
Receiving objects:  70% (259/370)
Receiving objects:  71% (263/370)
Receiving objects:  72% (267/370)
Receiving objects:  73% (271/370)
Receiving objects:  74% (274/370)
Receiving objects:  75% (278/370)
Receiving objects:  76% (282/370)
Receiving objects:  77% (285/370)
Receiving objects:  78% (289/370)
Receiving objects:  79% (293/370)
Receiving objects:  80% (296/370)
Receiving objects:  81% (300/370)
remote: Total 370 (delta 199), reused 107 (delta 23), pack-reused 0        
Receiving objects:  82% (304/370)
Receiving objects:  83% (308/370)
Receiving objects:  84% (311/370)
Receiving objects:  85% (315/370)
Receiving objects:  86% (319/370)
Receiving objects:  87% (322/370)
Receiving objects:  88% (326/370)
Receiving objects:  89% (330/370)
Receiving objects:  90% (333/370)
Receiving objects:  91% (337/370)
Receiving objects:  92% (341/370)
Receiving objects:  93% (345/370)
Receiving objects:  94% (348/370)
Receiving objects:  95% (352/370)
Receiving objects:  96% (356/370)
Receiving objects:  97% (359/370)
Receiving objects:  98% (363/370)
Receiving objects:  99% (367/370)
Receiving objects: 100% (370/370)
Receiving objects: 100% (370/370), 1.18 MiB | 10.53 MiB/s, done.
Resolving deltas:   0% (0/199)
Resolving deltas:   1% (2/199)
Resolving deltas:   2% (4/199)
Resolving deltas:   3% (6/199)
Resolving deltas:   4% (8/199)
Resolving deltas:   5% (10/199)
Resolving deltas:   6% (12/199)
Resolving deltas:   7% (14/199)
Resolving deltas:   8% (16/199)
Resolving deltas:   9% (18/199)
Resolving deltas:  10% (20/199)
Resolving deltas:  11% (22/199)
Resolving deltas:  12% (24/199)
Resolving deltas:  13% (26/199)
Resolving deltas:  14% (28/199)
Resolving deltas:  15% (30/199)
Resolving deltas:  16% (32/199)
Resolving deltas:  17% (34/199)
Resolving deltas:  18% (36/199)
Resolving deltas:  19% (38/199)
Resolving deltas:  20% (40/199)
Resolving deltas:  21% (42/199)
Resolving deltas:  22% (44/199)
Resolving deltas:  23% (46/199)
Resolving deltas:  24% (48/199)
Resolving deltas:  25% (50/199)
Resolving deltas:  26% (52/199)
Resolving deltas:  27% (54/199)
Resolving deltas:  28% (56/199)
Resolving deltas:  29% (58/199)
Resolving deltas:  30% (60/199)
Resolving deltas:  31% (62/199)
Resolving deltas:  32% (64/199)
Resolving deltas:  33% (66/199)
Resolving deltas:  34% (68/199)
Resolving deltas:  35% (70/199)
Resolving deltas:  36% (72/199)
Resolving deltas:  37% (74/199)
Resolving deltas:  38% (76/199)
Resolving deltas:  39% (78/199)
Resolving deltas:  40% (80/199)
Resolving deltas:  41% (82/199)
Resolving deltas:  42% (84/199)
Resolving deltas:  43% (86/199)
Resolving deltas:  44% (88/199)
Resolving deltas:  45% (90/199)
Resolving deltas:  46% (92/199)
Resolving deltas:  47% (94/199)
Resolving deltas:  48% (96/199)
Resolving deltas:  49% (98/199)
Resolving deltas:  50% (100/199)
Resolving deltas:  51% (102/199)
Resolving deltas:  52% (104/199)
Resolving deltas:  53% (106/199)
Resolving deltas:  54% (108/199)
Resolving deltas:  55% (110/199)
Resolving deltas:  56% (112/199)
Resolving deltas:  57% (114/199)
Resolving deltas:  58% (116/199)
Resolving deltas:  59% (118/199)
Resolving deltas:  60% (120/199)
Resolving deltas:  61% (122/199)
Resolving deltas:  62% (124/199)
Resolving deltas:  63% (126/199)
Resolving deltas:  64% (128/199)
Resolving deltas:  65% (130/199)
Resolving deltas:  66% (132/199)
Resolving deltas:  67% (134/199)
Resolving deltas:  68% (136/199)
Resolving deltas:  69% (138/199)
Resolving deltas:  70% (140/199)
Resolving deltas:  71% (142/199)
Resolving deltas:  72% (144/199)
Resolving deltas:  73% (146/199)
Resolving deltas:  74% (148/199)
Resolving deltas:  75% (150/199)
Resolving deltas:  76% (152/199)
Resolving deltas:  77% (154/199)
Resolving deltas:  78% (156/199)
Resolving deltas:  79% (158/199)
Resolving deltas:  80% (160/199)
Resolving deltas:  81% (162/199)
Resolving deltas:  82% (164/199)
Resolving deltas:  83% (166/199)
Resolving deltas:  84% (168/199)
Resolving deltas:  85% (170/199)
Resolving deltas:  86% (172/199)
Resolving deltas:  87% (174/199)
Resolving deltas:  88% (176/199)
Resolving deltas:  89% (178/199)
Resolving deltas:  90% (180/199)
Resolving deltas:  91% (182/199)
Resolving deltas:  92% (184/199)
Resolving deltas:  93% (186/199)
Resolving deltas:  94% (188/199)
Resolving deltas:  95% (190/199)
Resolving deltas:  96% (192/199)
Resolving deltas:  97% (194/199)
Resolving deltas:  98% (196/199)
Resolving deltas:  99% (198/199)
Resolving deltas: 100% (199/199)
Resolving deltas: 100% (199/199), completed with 151 local objects.
From ssh://github.com/facebook/zstd
 * branch            aec56a52fbab207fc639a1937d1e708a282edca8 -> FETCH_HEAD
Failed to recurse into submodule path 'third_party/onnx-tensorrt'


Exited with code exit status 1


This comment was automatically generated by Dr. CI (expand for details).Follow this link to opt-out of these comments for your Pull Requests.

Please report bugs/suggestions to the (internal) Dr. CI Users group.

Click here to manually regenerate this comment.

Specify return type more clearly, 2) Misc fixes

Differential Revision: [D29701384](https://our.internmc.facebook.com/intern/diff/D29701384/)

[ghstack-poisoned]
rohan-varma added a commit that referenced this pull request Jul 16, 2021
Pull Request resolved: #61677

Specify return type more clearly, 2) Misc fixes
ghstack-source-id: 133657895

Differential Revision: [D29701384](https://our.internmc.facebook.com/intern/diff/D29701384/)
@facebook-github-bot
Copy link
Contributor

This pull request has been merged in f111436.

@facebook-github-bot facebook-github-bot deleted the gh/rohan-varma/352/head branch July 20, 2021 14:16
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
cla signed Merged oncall: distributed Add this issue/PR to distributed oncall triage queue
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants