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v1.1.0m

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merged with pytorch 1.1.0

v1.1.0-m.0

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Merge pull request pytorch#5 from mctorch/mctorch_1_1

Mctorch 1 1

v0.4.1

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fix lint

v0.4.0

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move to eigenteam github for eigen submodule

v0.3.1

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Scopes 0.3.1 backport (pytorch#5153)

* Introduce scopes during tracing (pytorch#3016)

* Fix segfault during ONNX export

* Further fix to tracing scope (pytorch#4558)

* Set missing temporary scope in callPySymbolicMethod

* Use expected traces in all scope tests

* Fix tracking of tracing scopes during ONNX pass (pytorch#4524)

* Fix tracking of tracing scopes during ONNX pass

* Use ResourceGuard to manage setting a temporary current scope in Graph

* Add tests for ONNX pass scopes

* Remove unused num_classes argument

* Expose node scopeName to python (pytorch#4200)

* Inherit JIT scopes when cloning only when it's correct

It's correct only when the new graph owns the same scope tree
as the original one. We can end up with dangling pointers otherwise.

* Fixes after cherry-picking, still one test to go

* Fix for last failing test after scope cherry-pick

* Fix linting issue

v0.3.0

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Backport transposes optimization to v0.3.0 (pytorch#3994)

* Optimizer: optimize transposes in variety of circumstances (pytorch#3509)

* Optimizer: Optimize transposes in variety of circumstances

- No-op transposes
- Consecutive transposes (fuse them)
- Transposes into Gemm (f
9303
use them into transA/transB parameter)

* touch up out of date comment

* Backporting optimizer changes

v0.2.0

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fix static linkage and make THD statically linked

v0.1.12

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version bump

v0.1.11

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check for nvidia driver's sufficiency before checking for number of C…

…UDA devices (pytorch#1156)

v0.1.10

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import numpy before setting dlopen flags (pytorch#928)

0