[DeviceMesh] Removed unneeded .to(cpu)
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This was referenced Apr 23, 2024
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/124768
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 9fe1021 with merge base c82fcb7 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
awgu
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Apr 23, 2024
| @@ -212,7 +212,7 @@ def __init__( | |||
| if isinstance(mesh, torch.Tensor) and mesh.device.type != "cpu": | |||
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We already check that the mesh tensor is on CPU. There is no need to include the device="cpu" in the .to() call.
wz337
approved these changes
Apr 23, 2024
| @@ -212,7 +212,7 @@ def __init__( | |||
| if isinstance(mesh, torch.Tensor) and mesh.device.type != "cpu": | |||
|
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This PR adds a `DeviceMesh.from_group()` static method to convert an existing process group to a device mesh. Motivation: We need `DeviceMesh.from_group()` to allow FSDP2 to interoperate with distributed libraries that do not use `DeviceMesh` for all parallelisms. Pull Request resolved: #124787 Approved by: https://github.com/wanchaol ghstack dependencies: #124651, #124741, #124767, #124768, #124780
This was referenced Apr 25, 2024
alat-rights
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Apr 26, 2024
This PR adds a `DeviceMesh.from_group()` static method to convert an existing process group to a device mesh. Motivation: We need `DeviceMesh.from_group()` to allow FSDP2 to interoperate with distributed libraries that do not use `DeviceMesh` for all parallelisms. Pull Request resolved: pytorch#124787 Approved by: https://github.com/wanchaol ghstack dependencies: pytorch#124651, pytorch#124741, pytorch#124767, pytorch#124768, pytorch#124780
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This PR renames the `FSDP` class to `FSDPModule`. This is a BC breaking change. The rationale is that `FSDPModule` is more descriptive since `fully_shard` is a module-level API (applied to a `module` arg), so the `FSDP` class will always correspond to a module. Also, users commonly import `FullyShardedDataParallel` as `FSDP`, so this can help avoid some name conflict in some cases. Pull Request resolved: #124955 Approved by: https://github.com/wanchaol, https://github.com/wconstab ghstack dependencies: #124651, #124741, #124767, #124768, #124780, #124787
This was referenced Apr 29, 2024
petrex
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May 3, 2024
Pull Request resolved: pytorch#124768 Approved by: https://github.com/wz337 ghstack dependencies: pytorch#124651, pytorch#124741, pytorch#124767
pytorch-bot bot
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This PR adds a `DeviceMesh.from_group()` static method to convert an existing process group to a device mesh. Motivation: We need `DeviceMesh.from_group()` to allow FSDP2 to interoperate with distributed libraries that do not use `DeviceMesh` for all parallelisms. Pull Request resolved: #124787 Approved by: https://github.com/wanchaol ghstack dependencies: #124651, #124741, #124767, #124768, #124780
pytorch-bot bot
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May 3, 2024
This PR renames the `FSDP` class to `FSDPModule`. This is a BC breaking change. The rationale is that `FSDPModule` is more descriptive since `fully_shard` is a module-level API (applied to a `module` arg), so the `FSDP` class will always correspond to a module. Also, users commonly import `FullyShardedDataParallel` as `FSDP`, so this can help avoid some name conflict in some cases. Pull Request resolved: #124955 Approved by: https://github.com/wanchaol, https://github.com/wconstab ghstack dependencies: #124651, #124741, #124767, #124768, #124780, #124787
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Stack from ghstack (oldest at bottom):
DeviceMesh.from_group()#124787.to(cpu)#124768cc @mrshenli @pritamdamania87 @zhaojuanmao @satgera @rohan-varma @gqchen @aazzolini @osalpekar @jiayisuse @H-Huang @kwen2501 @penguinwu @fegin @XilunWu @wanchaol @fduwjj @wz337 @tianyu-l @wconstab @yf225 @chauhang @d4l3k