GitLab

Ds v0.9.2 rocm

See merge request dcutoolkit/deeplearing/deepspeed!2

Ds v0.8.2 rocm

See merge request aicomponent/deepspeed!3

modify error

See merge request aicomponent/deepspeed!2

Ds v0.8.2 rocm, support torch1.13 for the hipify change

See merge request aicomponent/deepspeed!1

Merge branch 'deepspeed-0.6.3-rocm' of http://10.0.100.3/dcutoolkit/deeplearing/deepspeed into deepspeed-0.6.3-rocm
version modify

Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

This test has been giving us trouble for a bit, seeing nondeterministic failures, skipping for now to not break out CI. Need to revisit soon though.

* zero.Init() clarification

clarify that if `model.half()` can't fit into gpu memory `zero.Init()` is a must.

this proposal is via @samyam's clarification shared elsewhere.

Thank you.

* style

* add clarity

* style
Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>

Bumps [kramdown](https://github.com/gettalong/kramdown) from 2.3.0 to 2.3.1.
- [Release notes](https://github.com/gettalong/kramdown/releases)
- [Changelog](https://github.com/gettalong/kramdown/blob/master/doc/news.page)
- [Commits](https://github.com/gettalong/kramdown/commits

)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

security alert related to older kramdown version

* Fix zero stage2 cpu_offload when some model trainable parameters skipped in training, as in https://github.com/microsoft/DeepSpeed/issues/707



As some model trainable parameters skipped in training,
their backward hooks in self.create_reduce_and_remove_grad_hooks() will not run, 
so they have no norm_for_param_grads

* Trim space

* Trim space
Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>

Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>

* see_memory_usage fixes

* didn't expect pt-1.2

* fix the order of things

* fix the order of things

* [doc] pipeline

As @g-karthik flagged in https://github.com/microsoft/DeepSpeed/pull/659#discussion_r600132598 my previous correction PR had one sentence that said the wrong thing. So this PR attempts to rectify that. 

Thank you!

* tweak

As discussed in https://github.com/microsoft/DeepSpeed/issues/662 this PR modifies the doc:
* explains what to use instead of CUDA_VISIBLE_DEVICES
* puts the `--hostfile` cl arg in the correct place in the invocation script

Fixes: https://github.com/microsoft/DeepSpeed/issues/662

Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

* consistent checkpoint filenaming

* backward compatible rename
Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>

Authors: @awan-10 @conglongli @samyam @jeffra

What's new:

NCCL-based implementation which provides better performance and usability compared to the MPI-based implementation.
Add support to momentum masks for those parameters with constant zero gradients during training.
Bug fixes (e.g., #813).

* NCCL-based 1-bit Adam + Code Refactor for Comm. Backends (#594)

* NCCL based 1-bit Implementation + Refactor to add communication backends (#593)

* add nccl 1-bit optim.

* temporary commit to save stuff.

* Use dist collectives instead of mpi routines.

* remove old code for comm.

* Fix bugs. still does not work.

* modify to test the nccl side code path

* Initial gather impl. Works intra-node.

* Updates to comm. phase 2. nccl comm. passed the tests.

* refactor code to introduce nccl/mpi as backends for onebit adam.

* Refactor updates to test/engine.

* Fix compile/runtime errors.

* simplify support for nccl/mpi backends.

* Add missign file

*...

Co-authored-by: Jeff Rasley <jerasley@microsoft.com>