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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[Unreleased] - YYYY-MM-DD

Added

  • Added process sets for TensorFlow: Concurrently running collective operations on subsets of Horovod processes. (#2839)

  • Added terminate_on_nan flag to Spark Lightning estimator. #3088

Changed

  • By default, RayExecutor will now use the current placement group instead of always creating a new one. (#3134)

Deprecated

Removed

Fixed

  • Fix Horovod develop/editable install mode and incremental builds. (#3074)
  • Estimator/Lightning: use lightning datamodule (#3084)
  • Fix Horovod Spark StringType and numpy type mapping issue (#3146)

[v0.22.1] - 2021-06-10

Added

  • Estimator: added support for loading data from S3, GCS, ADLS, and other remote filesystems. (#2927)

  • Estimator: added custom Spark data loader interface. (#2938)

  • LightningEstimator: added support to supply a logger and associated parameter to control the frequency of logging. (#2926)

  • Estimator: added check to ensure all ranks have the same device type. (#2942)

Changed

  • Changed behavior from using TensorBoardLogger to now using it as a fallback if a logger is not supplied. (#2926)

  • Ray: disabled capturing child tasks in placement group. (#2920)

Fixed

  • Fixed hvd.tensorflow.keras.Compression, accidentally removed in v0.22.0. (#2945)

  • TorchEstimator: fixed usage of validation_steps in place of validation_steps_per_epoch. (#2918)

  • TensorFlow: fixed C++ API for TF v2.6.0. (#2932)

  • PyTorch: fixed sparse_allreduce_async for PyTorch v0.10.0. (#2965)

[v0.22.0] - 2021-05-18

Added

  • Added pytorch_lightning spark estimator which enables training pytorch_lightning models. (#2713)

  • Added NVTX tracing hooks for profiling with Nsight Systems. (#2723)

  • Added a generic num_workers API for RayExecutor (#2870)

  • Supports Ray Client without code changes. (#2882)

  • Supports inmemory cache option for Keras Estimator. (#2896)

  • Added FP16 support for GPU tensor in mxnet. (#2915)

  • Added response caching for allgather operations. (#2872)

  • Estimator: add petastorm reader_pool_type into constructor (#2903)

Changed

  • Changed alltoall to return the received splits as a second return value if non-uniform splits are sent. (#2631)

  • Changed RayExecutor to use Ray Placement Groups for worker colocation. (#2824)

  • Changed Inmemory dataloader usage for Torch Estimator with petastorm v0.11.0 release. (#2896)

Fixed

  • Changed RayExecutor to use Ray node ID to enable multi-container:single-host setups. (#2883)

  • Support sparse gradients aggregation in TF1 Keras. (#2879)

  • Respect global_step parameter for LegacyOptimizers when aggregating gradients. (#2879)

  • Fixed compatibility with PyTorch 1.9.0. (#2829)

[v0.21.3] - 2021-02-15

Added

  • Add groups parameter in DistributedOptimizer for custom allreduce groups. (#2523)

Removed

  • Removed num_groups parameter in DistributedOptimizer, replaced with groups. (#2523)

Fixed

  • Fixed worker desynchronization deadlock issue in TensorFlow 2.4. (#2647)

  • Deduped Keras LearningRateWarmupCallback log after gradual learning rate warmup. (#2661)

[v0.21.2] - 2021-02-08

Added

  • Added support for Intel(R) MPI in horovodrun. (#2374)

  • Add support for callbacks in Ray Elastic Executor. (#2639)

  • Added forwarding of stdout/stderr captured to driver over Gloo. (#2646)

Fixed

  • Fixed broadcast_optimizer_state to handle NoneType params for PyTorch 1.8. (#2624)

  • Fixed local_rank support for Ray. (#2596)

  • Fixed DL estimators to obtain the output df schema without sampling the input. (#2611)

  • Fixed wrong default for horovod.tensorflow.keras.allreduce average (#2627)

[v0.21.1] - 2021-01-06

Added

  • Added in-memory dataset caching param to TorchEstimator. (#2434)

  • Added val_batch_size param to the Estimator API. (#2505)

  • Added support for TorchScript modules when using TorchEstimator. (#2494)

Changed

  • Migrated to oneCCL aligned with oneAPI specification v1.0. (#2513)

  • Added knob to set cache hint for oneCCL allreduce. (#2560)

  • Renamed horovodrun arg --ccl-bgt-affinity to --thread-affinity. (#2562)

  • Changed default build parallelism from -j8 to -j1 to address potential race condition. (#2572)

Fixed

  • Fixed building Horovod for ROCm PyTorch with newer hipify script. (#2360)

  • Fixed "Executable class" support for Ray. (#2510)

  • Fixed TorchEstimator returning model without switching to eval mode. (#2517)

  • Remove ssh reliance for Ray elastic training. (#2528)

  • Fixed error handling for changing framework without reinstalling horovod. (#2529)

  • Fixed "Intermediate path does not exist" error with DBFSLocalStore. (#2526)

  • Avoid synchronization if workers are only shrinked in elastic mode. (#2514)

  • Fixed Ray resource test. (#2575)

  • Fixed usage of env variable HOROVOD_GLOO_TIMEOUT_SECONDS with horovodrun. (#2571)

[v0.21.0] - 2020-11-23

Added

  • Added support for backward_passes_per_step > 1 for TF Keras graph mode. (#2346)

  • Added support for backward_passes_per_step > 1 for TF Keras eager execution. (#2371)

  • Added support for backward_passes_per_step > 1 for TF LegacyOptimizer in graph mode. (#2401)

  • Added grouped allreduce to enable more efficient tensor fusion and deterministic training. (#2453)

  • Add support for specifying op and compression in horovod.tensorflow.keras.allreduce(). (#2423)

  • Adding support for batched D2D memcopy kernel on GPU. (#2435)

  • Added schema inference in Spark Estimator without sampling. (#2373)

  • Added Store.create("dbfs:/") mapping to DBFSLocalStore("/dbfs/..."). (#2376)

Changed

  • Changed Keras callbacks to require parameter initial_lr of LearningRateScheduleCallback and LearningRateWarmupCallback. (#2459)

  • Changed default cycle time from 5ms to 1ms and fusion threshold from 64MB to 128MB. (#2468)

Fixed

  • Fixed support for TensorFlow v2.4.0. (#2381)

  • Fixed averaging using CUDA half2 implementation one element half buffers. (#2375)

  • Fixed HOROVOD_THREAD_AFFINITY when using oneCCL. (#2350)

  • Added timeout to SSH check in horovodrun to prevent hanging. (#2448)

  • Added HOROVOD_GLOO_TIMEOUT_SECONDS value to error messages. (#2436)

  • Fixed race condition in dynamic timeline API. (#2341)

  • Fixed --log-hide-timestamp to apply to driver logs with Gloo. (#2388)

  • Fixed the search order of Eigen and Flatbuffers paths. (#2473)

  • Fixed type checks in TorchEstimator to correctly use isinstance(). (#2480)

[0.20.3] - 2020-10-01

Added

  • Added Elastic Ray integration. (#2291)

Changed

  • Removed dependency on SSH access for Ray. (#2275)

[0.20.2] - 2020-09-25

Fixed

  • Fixed building Horovod without HOROVOD_WITHOUT_MXNET when MXNet is not installed. (#2334)

[0.20.1] - 2020-09-25

Added

  • Added Databricks storage DBFSLocalStore and support for GPU-aware scheduling to horovod.spark Estimator. (#2234)

  • Added ElasticSampler and PyTorch Elastic ImageNet example. (#2297)

  • Added ability to dynamically start and stop timeline programmatically. (#2215)

  • Added support for Gloo on macOS. (#2254)

  • Exposed name argument to TensorFlow allreduce operation. (#2325)

  • Added option to strip outer name scope from Horovod ops in TensorFlow. (#2328)

Fixed

  • Fixed usage of VERBOSE=1 when setting custom MAKEFLAGS. (#2239)

  • Fixed bugs in Keras Elastic Callback classes. (#2289)

  • Fixed RelWithDebInfo build and made it the default with -03 optimizations. (#2305)

  • Fixed usage of tf.cond in TensorFlow alltoall gradient. (#2327)

  • Fixed allreduce averaging for TF IndexedSlices in ROCm path. (#2279)

  • Include stdexcept to handle certain compiler / frameworks that don't include it already. (#2238)

  • Fixed Debug builds by setting compiler options based on CMake build type. (#2263)

  • Skipped launching zero-sized send/recvs for NCCLAlltoall. (#2273)

  • Fixed missing run in tf keras elastic mode. (#2272)

  • Fixed loss function in TensorFlow2 elastic synthetic benchmark. (#2265)

  • Fixed usage of HOROVOD_MIXED_INSTALL env var in alltoall tests. (#2266)

  • Removed keras requirement from Ray example. (#2262)

[0.20.0] - 2020-09-02

Added

  • Added bare-metal elastic mode implementation to enable auto-scaling and fault tolerance. (#1849)

  • Added Elastic Horovod support for Spark auto-scaling. (#1956)

  • Added All-to-All operation for TensorFlow, PyTorch, and MXNet. (#2143)

  • Added support for gradient_predivide_factor and averaging in Horovod backend. (#1949)

  • Added NCCL implementation of the allgather operation. (#1952)

  • Added HOROVOD_GPU_OPERATIONS installation variable to simplify enabling NCCL support for all GPU operations. (#1960)

  • Added TensorFlow implementation of SyncBatchNormalization layer. (#2075)

  • Added hvd.is_initialized() method. (#2020)

  • Added hvd.allgather_object function for TensorFlow, PyTorch, and MXNet. (#2166)

  • Added hvd.broadcast_object function for MXNet. (#2122)

  • Added label_shapes parameter to KerasEstimator and TorchEstimator. (#2140)

  • Added optional modelCheckPoint callback to KerasEstimator params. (#2124)

  • Added ssh_identity_file argument to horovodrun. (#2201)

  • Added support for horovodrun on kubeflow/mpi-job. (#2199)

  • Added Ray integration. (#2218)

Changed

  • Moved horovod.run.runner.run to horovod.run. (#2099)

  • HOROVOD_THREAD_AFFINITY accepts multiple values, one for every Horovod rank (#2131)

  • Migrated build system for native libraries to CMake (#2009)

Deprecated

  • HOROVOD_CCL_BGT_AFFINITY is deprected. Use HOROVOD_THREAD_AFFINITY instead (#2131)

Removed

  • Dropped support for Python 2. (#1954)

  • Dropped support for TensorFlow < 1.15. (#2169)

  • Dropped support for PyTorch < 1.2. (#2086)

Fixed

  • Fixed MXNet allgather implementation to correctly handle resizing the output buffer. (#2092)

  • Fixed Keras Spark Estimator incompatibility with TensorFlow 1.15 due to tf.autograph. (#2069)

  • Fixed API compatibility with PyTorch 1.6. (#2051)

  • Fixed Keras API compatibility with TensorFlow 2.4.0. (#2178)

  • Fixed allgather gradient for TensorFlow 2 in cases where the tensor shape is not known during graph construction. (#2121)

  • Fixed running using Gloo with an imbalanced number of workers per host. (#2212)