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Fix libuv target include path #5

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merged 1 commit into from
Jan 8, 2020
Merged

Fix libuv target include path #5

merged 1 commit into from
Jan 8, 2020

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pietern
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@pietern pietern commented Jan 8, 2020

This was broken as discovered during debugging the CircleCI builds in #4.

@pietern pietern merged commit 77df777 into master Jan 8, 2020
@pietern pietern deleted the fix-libuv-include-path branch January 8, 2020 16:46
facebook-github-bot pushed a commit that referenced this pull request Mar 31, 2020
Summary: Rename `fooFromReactor()` to `fooFromLoop()` for consistency.

Reviewed By: lw

Differential Revision: D20747558

fbshipit-source-id: b1fc0b0de1ab12a6a0d1285b91217ee507b709f4
mrshenli added a commit that referenced this pull request Jan 12, 2021
Without this change, I am seeing the following error when running PyTorch's `test_device_map_gpu_non_default` test:

```
[E thread_pool.cpp:112] Exception in thread pool task: CUDA error: invalid device ordinal                                                                       
Exception raised from exchangeDevice at ../c10/cuda/impl/CUDAGuardImpl.h:31 (most recent call first):                                                           
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x6c (0x7fb1de41c9ac in /rai
d/shenli/pytorch/torch/lib/libc10.so)                                                                                                                           
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > co
nst&) + 0xfa (0x7fb1de3e022c in /raid/shenli/pytorch/torch/lib/libc10.so)                                                                                       
frame #2: <unknown function> + 0xc29798 (0x7fb1f32f6798 in /raid/shenli/pytorch/torch/lib/libtorch_python.so)                                                   
frame #3: <unknown function> + 0xc19d91 (0x7fb1f32e6d91 in /raid/shenli/pytorch/torch/lib/libtorch_python.so)                                                   
frame #4: c10::ThreadPool::main_loop(unsigned long) + 0x295 (0x7fb1de40b955 in /raid/shenli/pytorch/torch/lib/libc10.so)                                        
frame #5: <unknown function> + 0xc819d (0x7fb1fece419d in /raid/shenli/miniconda/envs/torchdev/bin/../lib/libstdc++.so.6)                                       
frame #6: <unknown function> + 0x9609 (0x7fb21c06e609 in /lib/x86_64-linux-gnu/libpthread.so.0)                                                                 
frame #7: clone + 0x43 (0x7fb21bf95293 in /lib/x86_64-linux-gnu/libc.so.6)  
```
facebook-github-bot pushed a commit that referenced this pull request Jan 12, 2021
Summary:
Without this change, I am seeing the following error when running PyTorch's `test_device_map_gpu_non_default` test:

```
[E thread_pool.cpp:112] Exception in thread pool task: CUDA error: invalid device ordinal
Exception raised from exchangeDevice at ../c10/cuda/impl/CUDAGuardImpl.h:31 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x6c (0x7fb1de41c9ac in /rai
d/shenli/pytorch/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > co
nst&) + 0xfa (0x7fb1de3e022c in /raid/shenli/pytorch/torch/lib/libc10.so)
frame #2: <unknown function> + 0xc29798 (0x7fb1f32f6798 in /raid/shenli/pytorch/torch/lib/libtorch_python.so)
frame #3: <unknown function> + 0xc19d91 (0x7fb1f32e6d91 in /raid/shenli/pytorch/torch/lib/libtorch_python.so)
frame #4: c10::ThreadPool::main_loop(unsigned long) + 0x295 (0x7fb1de40b955 in /raid/shenli/pytorch/torch/lib/libc10.so)
frame #5: <unknown function> + 0xc819d (0x7fb1fece419d in /raid/shenli/miniconda/envs/torchdev/bin/../lib/libstdc++.so.6)
frame #6: <unknown function> + 0x9609 (0x7fb21c06e609 in /lib/x86_64-linux-gnu/libpthread.so.0)
frame #7: clone + 0x43 (0x7fb21bf95293 in /lib/x86_64-linux-gnu/libc.so.6)
```

Pull Request resolved: #264

Reviewed By: beauby

Differential Revision: D25887193

Pulled By: mrshenli

fbshipit-source-id: 47fa6b22e88f0a2800c6b20451e74c880715d637
lw pushed a commit that referenced this pull request Sep 20, 2021
Summary: Rename `fooFromReactor()` to `fooFromLoop()` for consistency.

Reviewed By: lw

Differential Revision: D20747558

fbshipit-source-id: b1fc0b0de1ab12a6a0d1285b91217ee507b709f4
lw pushed a commit that referenced this pull request Sep 20, 2021
Summary:
Without this change, I am seeing the following error when running PyTorch's `test_device_map_gpu_non_default` test:

```
[E thread_pool.cpp:112] Exception in thread pool task: CUDA error: invalid device ordinal
Exception raised from exchangeDevice at ../c10/cuda/impl/CUDAGuardImpl.h:31 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x6c (0x7fb1de41c9ac in /rai
d/shenli/pytorch/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > co
nst&) + 0xfa (0x7fb1de3e022c in /raid/shenli/pytorch/torch/lib/libc10.so)
frame #2: <unknown function> + 0xc29798 (0x7fb1f32f6798 in /raid/shenli/pytorch/torch/lib/libtorch_python.so)
frame #3: <unknown function> + 0xc19d91 (0x7fb1f32e6d91 in /raid/shenli/pytorch/torch/lib/libtorch_python.so)
frame #4: c10::ThreadPool::main_loop(unsigned long) + 0x295 (0x7fb1de40b955 in /raid/shenli/pytorch/torch/lib/libc10.so)
frame #5: <unknown function> + 0xc819d (0x7fb1fece419d in /raid/shenli/miniconda/envs/torchdev/bin/../lib/libstdc++.so.6)
frame #6: <unknown function> + 0x9609 (0x7fb21c06e609 in /lib/x86_64-linux-gnu/libpthread.so.0)
frame #7: clone + 0x43 (0x7fb21bf95293 in /lib/x86_64-linux-gnu/libc.so.6)
```

Pull Request resolved: #264

Reviewed By: beauby

Differential Revision: D25887193

Pulled By: mrshenli

fbshipit-source-id: 47fa6b22e88f0a2800c6b20451e74c880715d637
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