tag:github.com,2008:https://github.com/aobannong/pytorch/releasesRelease notes from pytorch2019-08-08T12:54:09Ztag:github.com,2008:Repository/208687989/v1.2.02019-08-08T12:54:09Zv1.2.0<p>delete C_CONTIGUOUS assertions to be compatible with particular build…</p>soumithtag:github.com,2008:Repository/208687989/v1.1.02019-04-30T23:22:19Zv1.1.0: Fix version handler in 1.1.0 docs. (#19977)<p>Update the find & replace to be less restrictive. Will port this change<br>
to master to avoid problems in the future.</p>zou3519tag:github.com,2008:Repository/208687989/v1.0.12019-02-07T07:24:24Zv1.0.1: Remove unnecessary typing dependency. (#16776)<p>Signed-off-by: Edward Z. Yang <a href="mailto:ezyang@fb.com">ezyang@fb.com</a></p>ezyangtag:github.com,2008:Repository/208687989/v1.0.02018-12-06T23:44:56Zv1.0.0<p>add fix for CUDA 10</p>soumithtag:github.com,2008:Repository/208687989/v1.0rc12018-10-02T04:54:52Zv1.0rc1<p>Back out "Revert D10123245: Back out "codemod cuda_gpu_id to device_i…</p>bddppqtag:github.com,2008:Repository/208687989/v1.0rc02018-10-02T04:54:52Zv1.0rc0<p>Back out "Revert D10123245: Back out "codemod cuda_gpu_id to device_i…</p>bddppqtag:github.com,2008:Repository/208687989/v0.4.12018-07-26T00:28:04Zv0.4.1<p>fix lint</p>soumithtag:github.com,2008:Repository/208687989/v0.4.02018-05-30T21:37:47Zv0.4.0<p>move to eigenteam github for eigen submodule</p>soumithtag:github.com,2008:Repository/208687989/v0.3.12018-02-09T17:07:43Zv0.3.1: Scopes 0.3.1 backport (#5153)<ul>
<li>
<p>Introduce scopes during tracing (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="263595888" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/3016" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/3016/hovercard" href="https://github.com/pytorch/pytorch/pull/3016">pytorch#3016</a>)</p>
</li>
<li>
<p>Fix segfault during ONNX export</p>
</li>
<li>
<p>Further fix to tracing scope (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="287133511" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/4558" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/4558/hovercard" href="https://github.com/pytorch/pytorch/pull/4558">pytorch#4558</a>)</p>
</li>
<li>
<p>Set missing temporary scope in callPySymbolicMethod</p>
</li>
<li>
<p>Use expected traces in all scope tests</p>
</li>
<li>
<p>Fix tracking of tracing scopes during ONNX pass (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="286570426" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/4524" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/4524/hovercard" href="https://github.com/pytorch/pytorch/pull/4524">pytorch#4524</a>)</p>
</li>
<li>
<p>Fix tracking of tracing scopes during ONNX pass</p>
</li>
<li>
<p>Use ResourceGuard to manage setting a temporary current scope in Graph</p>
</li>
<li>
<p>Add tests for ONNX pass scopes</p>
</li>
<li>
<p>Remove unused num_classes argument</p>
</li>
<li>
<p>Expose node scopeName to python (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="282550193" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/4200" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/4200/hovercard" href="https://github.com/pytorch/pytorch/pull/4200">pytorch#4200</a>)</p>
</li>
<li>
<p>Inherit JIT scopes when cloning only when it's correct</p>
</li>
</ul>
<p>It's correct only when the new graph owns the same scope tree<br>
as the original one. We can end up with dangling pointers otherwise.</p>
<ul>
<li>
<p>Fixes after cherry-picking, still one test to go</p>
</li>
<li>
<p>Fix for last failing test after scope cherry-pick</p>
</li>
<li>
<p>Fix linting issue</p>
</li>
</ul>lantigatag:github.com,2008:Repository/208687989/v0.3.02017-12-04T08:00:43ZBackport transposes optimization to v0.3.0 (#3994)<ul>
<li>
<p>Optimizer: optimize transposes in variety of circumstances (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="271554935" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/3509" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/3509/hovercard" href="https://github.com/pytorch/pytorch/pull/3509">pytorch#3509</a>)</p>
</li>
<li>
<p>Optimizer: Optimize transposes in variety of circumstances</p>
</li>
</ul>
<ul>
<li>No-op transposes</li>
<li>Consecutive transposes (fuse them)</li>
<li>Transposes into Gemm (fuse them into transA/transB parameter)</li>
</ul>
<ul>
<li>
<p>touch up out of date comment</p>
</li>
<li>
<p>Backporting optimizer changes</p>
</li>
</ul>dzhulgakov