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Disable CPU Offload as default for DeepSpeed #6262

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merged 4 commits into from
Mar 2, 2021
Merged

Disable CPU Offload as default for DeepSpeed #6262

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bd02f58
Change default for CPU offload to false for best throughput/memory ef…
Mar 1, 2021
9781c2c
Add changelog
Mar 1, 2021
27f86a1
default
Borda Mar 1, 2021
3e931b3
Merge branch 'master' into fix/default_deepspeed
kaushikb11 Mar 2, 2021
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3 changes: 3 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -20,6 +20,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- Changed the order of `backward`, `step`, `zero_grad` to `zero_grad`, `backward`, `step` ([#6147](https://github.com/PyTorchLightning/pytorch-lightning/pull/6147))


- Changed default for DeepSpeed CPU Offload to False, due to prohibitively slow speeds at smaller scale ([#6262](https://github.com/PyTorchLightning/pytorch-lightning/pull/6262))


- Renamed `pytorch_lightning.callbacks.swa` to `pytorch_lightning.callbacks.stochastic_weight_avg` ([#6259](https://github.com/PyTorchLightning/pytorch-lightning/pull/6259))


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4 changes: 2 additions & 2 deletions pytorch_lightning/plugins/training_type/deepspeed.py
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Expand Up @@ -66,7 +66,7 @@ def __init__(
self,
zero_optimization: bool = True,
stage: int = 2,
cpu_offload: bool = True,
cpu_offload: bool = False,
contiguous_gradients: bool = True,
overlap_comm: bool = True,
allgather_partitions: bool = True,
Expand Down Expand Up @@ -104,7 +104,7 @@ def __init__(
stage: Different stages of the ZeRO Optimizer. 0 is disabled,
1 is optimizer state partitioning, 2 is optimizer+gradient state partitioning (default: 2)

cpu_offload: Enable offloading optimizer memory and computation to CPU (default: True)
cpu_offload: Enable offloading optimizer memory and computation to CPU

contiguous_gradients: Copies gradients to a continuous buffer as they are produced.
Avoids memory fragmentation during backwards. Useful when training large models. (default: True)
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