Issue 1:
🐛 Bug

To Reproduce

Steps to reproduce the behavior:

19-12-18 Nightly Build Verion Runtime error

Occurs when running a program

also How do I use a Nightly version with a different date?

The build time is too long and needs a different version.

Thanks All

call stack

ntdll.dll!00007ff92825fe0e()	Unknown
KernelBase.dll!00007ff92529a839()	Unknown
vcruntime140d.dll!00007ff904ba82b0()	Unknown
c10.dll!c10::util::detail::extract(c10::basic_string_view<char> prefix, c10::basic_string_view<char> suffix, c10::basic_string_view<char> str) line 51	C++
c10.dll!c10::util::detail::fully_qualified_type_name_impl<float>() line 62	C++
c10.dll!c10::util::get_fully_qualified_type_name<float>() line	C++
c10.dll!caffe2::detail::_makeTypeMetaDataInstance<float>() line 298	C++
c10.dll!caffe2::TypeMeta::_typeMetaDataInstance<float>() line 44	C++
c10.dll!caffe2::TypeMeta::Make<float>() line C++
c10.dll!c10::`dynamic initializer for 'default_dtype''() line 5	C++

break point

template <typename T>
inline C10_TYPENAME_CONSTEXPR string_view fully_qualified_type_name_impl() noexcept {
#if defined(_MSC_VER)
return extract(//<< here
"class c10::string_view __cdecl c10::util::detail::fully_qualified_type_name_impl<",
">(void)",
__FUNCSIG__);
#elif defined(__clang__)
return extract(
"c10::string_view c10::util::detail::fully_qualified_type_name_impl() [T = ",
"]",
__PRETTY_FUNCTION__);
#elif defined(__GNUC__)
return extract(
#if C10_TYPENAME_SUPPORTS_CONSTEXPR
"constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = ",
#else
"c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = ",
#endif
"; c10::string_view = c10::basic_string_view<char>]",
__PRETTY_FUNCTION__);
#endif

Expected behavior

Environment

Please copy and paste the output from our

environment collection script

(or fill out the checklist below manually).

You can get the script and run it with:

PyTorch version: 1.4.0.dev20191214
Is debug build: No
CUDA used to build PyTorch: 10.1

OS: Microsoft Windows 10 Pro
GCC version: Could not collect
CMake version: version 3.14.0

Python version: 3.5
Is CUDA available: Yes
CUDA runtime version: 10.2.89
GPU models and configuration: GPU 0: GeForce RTX 2080 Ti
Nvidia driver version: 441.22
cuDNN version: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\cudnn64_7.dll

[pip3] numpy==1.16.3
[pip3] torch==1.4.0.dev20191214
[pip3] torchvision==0.5.0.dev20191215
[conda] blas 1.0 mkl
[conda] mkl 2018.0.3 1
[conda] mkl-include 2019.3 203
[conda] mkl-service 1.1.2 py35_2
[conda] mkl_fft 1.0.6 py35hdbbee80_0
[conda] mkl_random 1.0.1 py35h77b88f5_1
[conda] torch 1.4.0.dev20191214 <pip>
[conda] torch 1.3.1 <pip>
[conda] torch 1.1.0 <pip>
[conda] torchvision 0.5.0.dev20191215 <pip>

PyTorch Version (e.g., 1.0):

OS (e.g., Linux): windows 10

How you installed PyTorch (conda, pip, source):

Build command you used (if compiling from source):

Python version:

CUDA/cuDNN version: 10.2

GPU models and configuration:

Any other relevant information:

Additional context

cc @ezyang @gchanan @zou3519 @peterjc123

Issue 2:
🐛 Bug

'import torch' starts to fail in the nightly jobs beginning from Dec. 15.

https://dev.azure.com/pytorch/PyTorch/_build/results?buildId=18361&view=results

https://dev.azure.com/pytorch/PyTorch/_build/results?buildId=18363&view=results

To Reproduce

Steps to reproduce the behavior:

import torch

Expected behavior

Import success.

Environment

Please copy and paste the output from our

environment collection script

(or fill out the checklist below manually).

You can get the script and run it with:

wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py

PyTorch Version (e.g., 1.0): master

OS (e.g., Linux): Windows

How you installed PyTorch (conda, pip, source): source

Build command you used (if compiling from source): python setup.py install

Python version: 3.5/3.6/3.7

CUDA/cuDNN version: None / 9.2 / 10.1

GPU models and configuration: None

Any other relevant information:

Additional context

Looks like some of the errors are intermittent.

cc @ezyang @gchanan @zou3519 @peterjc123