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TensorFlow 2.2 compatibility, MPI args for horovodrun
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@tgaddair tgaddair released this 13 May 20:56
· 801 commits to master since this release
v0.19.1
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TensorFlow

  • Added _aggregate_gradients in DistributedOptimizer to support Keras in TensorFlow 2.2. (#1784)

PyTorch

  • Removed uses of deprecated PyTorch C++ API to support PyTorch 1.6. (#1731)

Changes to horovodrun

  • Added process binding arguments to horovodrun. (#1767)
  • Added --tcp flag to horovodrun for TCP only communication. (#1744)

Changes to installer

  • Added HOROVOD_BUILD_ARCH_FLAGS to specify architecture-specific compiler flags. (#1751)
  • Added Python extras to enforce that Horovod is installed after other frameworks. (#1785)

API changes

  • Added mpi_args to horovod.run.run. (#1787)
  • Added support for data transformation before train and validation in TorchEstimator (#1750)

Bugs

  • Fixed bug in cache dump. (#1739)
  • Fixed root rank output handling in MXNet out-of-place broadcast. (#1740)
  • Fixed data_type_to_str for SparseVector and DenseVector. (#1780)
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