<h2 dir="auto">🐛 Bug</h2>

<h2 dir="auto">To Reproduce</h2>
<p dir="auto">Steps to reproduce the behavior:<br>
19-12-18 Nightly Build Verion Runtime error<br>
Occurs when running a program</p>
<p dir="auto">also How do I use a Nightly version with a different date?<br>
The build time is too long and needs a different version.<br>
Thanks All<br>
call stack</p>
<div class="highlight highlight-source-c++ notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="ntdll.dll!00007ff92825fe0e()	Unknown
KernelBase.dll!00007ff92529a839()	Unknown
vcruntime140d.dll!00007ff904ba82b0()	Unknown
c10.dll!c10::util::detail::extract(c10::basic_string_view&lt;char&gt; prefix, c10::basic_string_view&lt;char&gt; suffix, c10::basic_string_view&lt;char&gt; str) line 51	C++
c10.dll!c10::util::detail::fully_qualified_type_name_impl&lt;float&gt;() line 62	C++
c10.dll!c10::util::get_fully_qualified_type_name&lt;float&gt;() line 	C++
c10.dll!caffe2::detail::_makeTypeMetaDataInstance&lt;float&gt;() line 298	C++
c10.dll!caffe2::TypeMeta::_typeMetaDataInstance&lt;float&gt;() line 44	C++
c10.dll!caffe2::TypeMeta::Make&lt;float&gt;() line C++
c10.dll!c10::`dynamic initializer for 'default_dtype''() line 5	C++"><pre class="notranslate">ntdll.dll!00007ff92825fe0e()	Unknown
KernelBase.dll!00007ff92529a839()	Unknown
vcruntime140d.dll!00007ff904ba82b0()	Unknown
c10.dll!c10::util::detail::extract(c10::basic_string_view&lt;<span class="pl-k">char</span>&gt; prefix, c10::basic_string_view&lt;<span class="pl-k">char</span>&gt; suffix, c10::basic_string_view&lt;<span class="pl-k">char</span>&gt; str) line <span class="pl-c1">51</span>	C++
c10.dll!c10::util::detail::fully_qualified_type_name_impl&lt;<span class="pl-k">float</span>&gt;() line <span class="pl-c1">62</span>	C++
c10.dll!c10::util::get_fully_qualified_type_name&lt;<span class="pl-k">float</span>&gt;() line 	C++
c10.dll!caffe2::detail::_makeTypeMetaDataInstance&lt;<span class="pl-k">float</span>&gt;() line <span class="pl-c1">298</span>	C++
c10.dll!caffe2::TypeMeta::_typeMetaDataInstance&lt;<span class="pl-k">float</span>&gt;() line <span class="pl-c1">44</span>	C++
c10.dll!caffe2::TypeMeta::Make&lt;<span class="pl-k">float</span>&gt;() line C++
c10.dll!c10::`dynamic initializer <span class="pl-k">for</span> <span class="pl-s"><span class="pl-pds">'</span>default_dtype<span class="pl-pds">'</span><span class="pl-pds">'</span>() line 5	C++</span></pre></div>
<p dir="auto">break point</p>
<div class="highlight highlight-source-c++ notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="template &lt;typename T&gt;
inline C10_TYPENAME_CONSTEXPR string_view fully_qualified_type_name_impl() noexcept {
#if defined(_MSC_VER)
  return extract(//&lt;&lt; here
      &quot;class c10::string_view __cdecl c10::util::detail::fully_qualified_type_name_impl&lt;&quot;,
      &quot;&gt;(void)&quot;,
      __FUNCSIG__);
#elif defined(__clang__)
  return extract( 
      &quot;c10::string_view c10::util::detail::fully_qualified_type_name_impl() [T = &quot;,
      &quot;]&quot;,
      __PRETTY_FUNCTION__);
#elif defined(__GNUC__)
  return extract(
    #if C10_TYPENAME_SUPPORTS_CONSTEXPR
      &quot;constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = &quot;,
    #else
      &quot;c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = &quot;,
    #endif
      &quot;; c10::string_view = c10::basic_string_view&lt;char&gt;]&quot;,
      __PRETTY_FUNCTION__);
#endif"><pre class="notranslate"><span class="pl-k">template </span>&lt;<span class="pl-k">typename</span> T&gt;
<span class="pl-k">inline</span> C10_TYPENAME_CONSTEXPR string_view <span class="pl-en">fully_qualified_type_name_impl</span>() <span class="pl-k">noexcept</span> {
#<span class="pl-k">if</span> defined(_MSC_VER)
  <span class="pl-k">return</span> <span class="pl-c1">extract</span>(<span class="pl-c"><span class="pl-c">//</span>&lt;&lt; here</span>
      <span class="pl-s"><span class="pl-pds">"</span>class c10::string_view __cdecl c10::util::detail::fully_qualified_type_name_impl&lt;<span class="pl-pds">"</span></span>,
      <span class="pl-s"><span class="pl-pds">"</span>&gt;(void)<span class="pl-pds">"</span></span>,
      __FUNCSIG__);
#<span class="pl-k">elif</span> defined(__clang__)
  <span class="pl-k">return</span> <span class="pl-c1">extract</span>( 
      <span class="pl-s"><span class="pl-pds">"</span>c10::string_view c10::util::detail::fully_qualified_type_name_impl() [T = <span class="pl-pds">"</span></span>,
      <span class="pl-s"><span class="pl-pds">"</span>]<span class="pl-pds">"</span></span>,
      __PRETTY_FUNCTION__);
#<span class="pl-k">elif</span> defined(__GNUC__)
  <span class="pl-k">return</span> <span class="pl-c1">extract</span>(
    #<span class="pl-k">if</span> C10_TYPENAME_SUPPORTS_CONSTEXPR
      <span class="pl-s"><span class="pl-pds">"</span>constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = <span class="pl-pds">"</span></span>,
    #<span class="pl-k">else</span>
      <span class="pl-s"><span class="pl-pds">"</span>c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = <span class="pl-pds">"</span></span>,
    #<span class="pl-k">endif</span>
      <span class="pl-s"><span class="pl-pds">"</span>; c10::string_view = c10::basic_string_view&lt;char&gt;]<span class="pl-pds">"</span></span>,
      __PRETTY_FUNCTION__);
#<span class="pl-k">endif</span></pre></div>

<h2 dir="auto">Expected behavior</h2>

<h2 dir="auto">Environment</h2>
<p dir="auto">Please copy and paste the output from our<br>
<a href="https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py" rel="nofollow">environment collection script</a><br>
(or fill out the checklist below manually).</p>
<p dir="auto">You can get the script and run it with:</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="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           &lt;pip&gt;
[conda] torch                     1.3.1                     &lt;pip&gt;
[conda] torch                     1.1.0                     &lt;pip&gt;
[conda] torchvision               0.5.0.dev20191215           &lt;pip&gt;"><pre class="notranslate"><code class="notranslate">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           &lt;pip&gt;
[conda] torch                     1.3.1                     &lt;pip&gt;
[conda] torch                     1.1.0                     &lt;pip&gt;
[conda] torchvision               0.5.0.dev20191215           &lt;pip&gt;
</code></pre></div>
<ul dir="auto">
<li>PyTorch Version (e.g., 1.0):</li>
<li>OS (e.g., Linux): windows 10</li>
<li>How you installed PyTorch (<code class="notranslate">conda</code>, <code class="notranslate">pip</code>, source):</li>
<li>Build command you used (if compiling from source):</li>
<li>Python version:</li>
<li>CUDA/cuDNN version: 10.2</li>
<li>GPU models and configuration:</li>
<li>Any other relevant information:</li>
</ul>
<h2 dir="auto">Additional context</h2>
<p dir="auto">cc <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/ezyang/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/ezyang">@ezyang</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/gchanan/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/gchanan">@gchanan</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/zou3519/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/zou3519">@zou3519</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/peterjc123/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/peterjc123">@peterjc123</a></p>
<h2 dir="auto"><g-emoji class="g-emoji" alias="bug" fallback-src="https://github.githubassets.com/images/icons/emoji/unicode/1f41b.png">🐛</g-emoji> Bug</h2>

<p dir="auto">'import torch' starts to fail in the nightly jobs beginning from Dec. 15.</p>
<p dir="auto"><a href="https://dev.azure.com/pytorch/PyTorch/_build/results?buildId=18361&amp;view=results" rel="nofollow">https://dev.azure.com/pytorch/PyTorch/_build/results?buildId=18361&amp;view=results</a><br>
<a href="https://dev.azure.com/pytorch/PyTorch/_build/results?buildId=18363&amp;view=results" rel="nofollow">https://dev.azure.com/pytorch/PyTorch/_build/results?buildId=18363&amp;view=results</a></p>
<h2 dir="auto">To Reproduce</h2>
<p dir="auto">Steps to reproduce the behavior:</p>
<ol dir="auto">
<li>import torch</li>
</ol>

<h2 dir="auto">Expected behavior</h2>

<p dir="auto">Import success.</p>
<h2 dir="auto">Environment</h2>
<p dir="auto">Please copy and paste the output from our<br>
<a href="https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py" rel="nofollow">environment collection script</a><br>
(or fill out the checklist below manually).</p>
<p dir="auto">You can get the script and run it with:</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="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"><pre class="notranslate"><code class="notranslate">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
</code></pre></div>
<ul dir="auto">
<li>PyTorch Version (e.g., 1.0): master</li>
<li>OS (e.g., Linux): Windows</li>
<li>How you installed PyTorch (<code class="notranslate">conda</code>, <code class="notranslate">pip</code>, source): source</li>
<li>Build command you used (if compiling from source): python setup.py install</li>
<li>Python version: 3.5/3.6/3.7</li>
<li>CUDA/cuDNN version: None / 9.2 / 10.1</li>
<li>GPU models and configuration: None</li>
<li>Any other relevant information:</li>
</ul>
<h2 dir="auto">Additional context</h2>

<p dir="auto">Looks like some of the errors are intermittent.</p>
<p dir="auto">cc <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/ezyang/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/ezyang">@ezyang</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/gchanan/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/gchanan">@gchanan</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/zou3519/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/zou3519">@zou3519</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/peterjc123/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/peterjc123">@peterjc123</a></p>