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horovod
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v0.17.0.post1
Bugfix: make Horovodrun work with ABI-incompatible frameworks
bab1f83
2019-08-20 13:45
下载
v0.17.0
MPI-less Horovod alpha, TensorFlow 2.0 support, MXNet 1.5.0 support, g++ autodetection, RDMA in Dockerfile
2fed041
2019-08-20 07:45
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v0.16.4
Improved optimizer.skip_synchronize() API for NVIDIA AMP
2aac48c
2019-06-12 03:46
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v0.16.3
Intel MLSL support, improvements to gradient clipping & NVIDIA AMP performance, bugfixes
30a2148
2019-06-04 01:44
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v0.16.2
Apache MXNet 1.4.1 compatibility, improvements to coordination performance at ultra-large scale, stall message improvements, bugfixes
2177746
2019-05-17 05:38
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v0.16.1
Add horovodrun
5d38749
2019-03-19 16:48
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v0.16.0
PySpark, Apache MXNet, autotuning, TensorFlow eager execution, mixed-precision & embedding improvements
34529a8
2019-02-20 17:49
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v0.15.2
Force allreduce of all gradients in step(), bugfixes
42c0977
2018-11-29 06:37
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v0.15.1
FP16 hierarchical allreduce
4370712
2018-10-25 09:08
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v0.15.0
PyTorch 1.0, TF-Keras, FP16 ops on GPU
af69c0f
2018-10-03 07:08
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v0.14.1
Parallelized hierarchical allreduce
fa6f7db
2018-09-07 06:00
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v0.14.0
Support for the upcoming PyTorch release
fa97c59
2018-08-31 14:12
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v0.13.11
Add compatibility with PyTorch 0.4.1
641a1de
2018-07-30 05:04
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v0.13.10
Support for IBM PowerAI DDL & APIs to restore optimizer state
8e00093
2018-07-14 13:41
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v0.13.8
Critical Bugfix: PyTorch must wait for GPU data before allreduce
ecea3e5
2018-07-10 03:15
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v0.13.7
Critical Bugfix: non-fused allreduce produces incorrect results
ff49876
2018-07-06 03:56
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v0.13.6
Hierarchical allreduce & differentiable ops
c9d1818
2018-07-04 02:20
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v0.13.5
Fix PyTorch master break - use proper THTensor_storage() API
9e4b08f
2018-06-27 00:16
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v0.13.4
Bugfix mpi4py: Create a private MPI communicator
712813d
2018-06-08 06:31
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v0.13.3
Collective control plane & other low latency improvements
92454da
2018-06-02 18:24
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