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Commits on Aug 4, 2017

• Update autograd notes (#2295)

  

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Commits on Aug 3, 2017

• Improve cuDNN weight layout test

  

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• Make sure deserialized RNN modules have _data_ptrs too

  

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Commits on Jul 27, 2017

• Improve Variable.retain_grad

  

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Commits on Jul 25, 2017

• DataParallel device_ids slicing fixes (#2200)

  

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• Update cudnn.py

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• Update cudnn.py

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Commits on Jul 24, 2017

• Improve memory usage of cuDNN RNN modules (#2179)

  

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• Fix minor bug in parallel_apply (#2193)

  

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Commits on Jul 21, 2017

• Fixes for DistributedDataParallel (#2168)

  

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• Add a support matrix for distributed backends

  

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Commits on Jul 20, 2017

• Remove assertions with side effects

  

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• Unify argument names in tensor and Variable methods

  

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• Accept all kinds of arguments in Variable.expand

  

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• Allow keyword args in long_arg options

  

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• Let parallel_apply accept arbitrary inputs

  

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  4af40e3

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• Fix repeat backward to handle unsqueezed dims

  

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Commits on Jul 12, 2017

• Refactor scatter/gather and add distributed docs

  

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• Fix a memory leak in DataChannelTCP

  

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  ebd5c08

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• Fix undefined symbol errors in THD

  

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Commits on Jun 13, 2017

• Rename arguments to distributed collectives

  

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• Officially enable process-group mode

  

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• Fix deadlock in GlooCache

  

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• Add DistributedDataParallel

  

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• Add Module._all_buffers

  

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• Support non-default streams in NCCL reduce

  

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• Free GIL when entering THD functions

  

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• Add more checks in torch.distributed

  

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• THD updates and bug fixes

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• Add end callbacks to the engine

  

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Commits on Jun 6, 2017

• Rename masked_copy_ to masked_scatter_

  

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• Accept None values returned from grad hooks

  

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  98afdcf

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• Fix grad type of compare functions

  

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  ef32e96

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• Fix Prod backward and autograd tests

  

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Commits on Jun 2, 2017

• Fix minor bug in InitMethodFile

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