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* Updating BLOCK_SIZE to 1024.
tests/L0/run_optimizers/test_fused_optimizer.py test passes except for bfloat16 for Adam. There seems to be a bug in this test that needs to be resolved.
For now skipping test_bfloat16 for Adam in the unittest.
Ran 17 other tests and ALL other tests pass!
More details on the effects of these changes can be found here -  https://confluence.amd.com/display/MLSE/Apex+Kernel+Optimization

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This commit changes BLOCK_SIZE=1024 ONLY FOR different optimizers.
L2norm kernels (part of LAMB optimizer algorithm) still maintain BLOCK_SIZE=512 otherwise Allclose fails.

* Updating tests/L0/run_optimizers/test_fused_optimizer.py with @skipifRocm to skip test_bfloat16 in Adam.
Co-authored-by: aspanday <aspanday@amd.com>

This reverts commit bdd481d1.

* add device guards to the optimizers

* add untracked file

* set deviceGuard in multi_tensor_apply

* address review comments; fix lamb

* indent

* typo

Fix dispatch where we have a parameter group with multiple
combinations of types
Optionally apply weight decay after momentum

Incorrect types used in a few places

Only support the 4 specific cases we care about
Remove more general set of switch statements

Fuse in fp16 gradient -> fp32 convert
Additional option fp16 weight copy written out

Initial implementation, all fp32
Tested against torch.optim.sgd