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Commits on Mar 9, 2020

• Retain the order of parameters while generating ConcreteModuleTypes (pytorch#34131)

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Commits on Mar 5, 2020

• Throw a proper error when parsing local variable annotations without assignments (pytorch#34133)

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Commits on Aug 27, 2019

• Add myself as a CODEOWNER for better discoverability (pytorch#25231)

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Commits on Jun 24, 2019

• Make Dropout.__repr__ consistent with other modules (pytorch#22110)

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• Improve repr for IncompatibleKeys (pytorch#22119)

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• Fix minor issues with pytorch#21736 (pytorch#22074)

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Commits on Jun 23, 2019

• Restore default values on premature test exit (pytorch#22115)

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Commits on Feb 15, 2019

• Add special ops for BatchNorm symbolic differentiation (pytorch#15403)

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Commits on Feb 11, 2019

• Don't keep unnecessary saved_inputs alive (pytorch#16583)

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• Add support for fusion of half batch norm with float stats (pytorch#16735)

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Commits on Feb 5, 2019

• Make tuple checks faster (pytorch#16657)

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• Don't throw in operator== for TypeMeta and ScalarType (pytorch#16736)

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Commits on Jan 11, 2019

• Simplify cat fusion (pytorch#15633)

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Commits on Jan 10, 2019

• JIT Batch Norm fusion (pytorch#15897)

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Commits on Jan 8, 2019

• Stop leaving garbage files after running test_jit.py

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• Add support for batch_norm fusion to the JIT (pytorch#15146)

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Commits on Dec 5, 2018

• Use AT_WARN for warnings in the JIT (pytorch#14770)

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• Don't DCE PythonOp

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• Improvements for symbolic AD (pytorch#14758)

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Commits on Dec 4, 2018

• Reenable all forward-pass fusions that worked before the AD fix (pytorch#14558)

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• Disable randn_like fusion in the JIT (pytorch#14752)

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• Reduce broadcasted inputs in derivative code (pytorch#14485)

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Commits on Dec 3, 2018

• Reduce broadcasted inputs in derivative code (pytorch#14485)

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Commits on Nov 29, 2018

• Broadcast prim::FusedConcat inputs independently when checking kernels (pytorch#14503)

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Commits on Nov 26, 2018

• Batch more matrix multiplies (pytorch#13456)

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Commits on Nov 6, 2018

• Append parameters when checking graphs for TorchScript Methods (pytorch#13553)

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Commits on Nov 5, 2018

• Stop depending on static analysis of tensor types in graph fuser (pytorch#13387)

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Commits on Nov 1, 2018

• Re-enabled mm+add tree batching in the JIT (pytorch#13228)

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Commits on Sep 26, 2018

• Fix ONNX bug, add symbolic for full

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• Enable tracing of tensor factories with an out argument

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Commits on Sep 25, 2018

• Eliminate no-op adds and muls in peephole pass (pytorch#11801)

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Commits on Sep 24, 2018

• Stop moving constants into DifferentiableSubgraphs (pytorch#11809)

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Commits on Sep 21, 2018

• Specialize ArgumentSpecs on tuple elements too (pytorch#11863)

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• Minor JIT improvements (pytorch#11654)

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Commits on Sep 19, 2018

• Improve autograd profiler performance (pytorch#11773)

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