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[PyTorch] Fixing hang in `initialize_ub()` for multi-node runs after PR901 removal of MPI-dependence (#986)

* Re-implementing PR901 (removing MPI-dependence in Userbuffers) with multi-node fixes

* passing data-parallel rank/size info from torch.distributed to userbuffers
Signed-off-by: Alp Dener <adener@nvidia.com>

* multi-node example working with UB_SKIPMC=1 but not with multicast
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed multi-node hang in initialize_ub(), updated comm+GEMM overlap example to support multi-node mixed tensor/data parallelism, added README
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed use case when Userbuffers is asked to allocate the TP overlap buffer with UB_SKIPMC=1
Signed-off-by: Alp Dener <adener@nvidia.com>

* corrected example problem to set device by local ordinal instead of global process rank
Signed-off-by: Alp Dener <adener@nvidia.com>

* double-free fix in userbuffers destructor
Signed-off-by: Alp Dener <adener@nvidia.com>

* removed unnecessary and incorrect torch.cuda.set_device(...)
Signed-off-by: Alp Dener <adener@nvidia.com>

* corrected inter-node ranks logic
Signed-off-by: Alp Dener <adener@nvidia.com>

* generalized node ID logic in initialize_ub to handle arbitrary world rank layouts within node
Signed-off-by: Alp Dener <adener@nvidia.com>

* added single-node comm+GEMM overlap unit tests
Signed-off-by: Alp Dener <adener@nvidia.com>

* LayerNormMLP example confirmed working with 2 nodes on Eos
Signed-off-by: Alp Dener <adener@nvidia.com>

* unit test cleanup
Signed-off-by: Alp Dener <adener@nvidia.com>

* corrected DP group ranks logic in LNMLP comm+GEMM overlap example
Signed-off-by: Alp Dener <adener@nvidia.com>

* corrected enums in unit test
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed incorrect Ubuf object init signature
Signed-off-by: Alp Dener <adener@nvidia.com>

* switched default backend for Userbuffer bootstrapping to Gloo with MPI and NCCL fallbacks, and initialize_ub option to manually select backend
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed all comm+GEMM overlap unit tests
Signed-off-by: Alp Dener <adener@nvidia.com>

* corrected all_gather use for Gloo backend
Signed-off-by: Alp Dener <adener@nvidia.com>

* changed userbuffers allgather callback to always use all_gather() instead of all_gather_into_tensor()
Signed-off-by: Alp Dener <adener@nvidia.com>

* restored and verified old MPI-based bootstrapping via NVTE_UB_WITH_MPI=1 option at compile time
Signed-off-by: Alp Dener <adener@nvidia.com>

* disabled scoped GIL release for comm+GEMM overlap algorithms
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* avoid dist.init_device_mesh in comm+GEMM overlap example to support older PyTorch versions
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* applied RS overlap FP8 fix from PR1004
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed segfault in Userbuffers destructor
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* corrected comm+GEMM overlap unit test arguments
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* fixed unit test run command for when Userbuffers is compiled with MPI
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* Refactored torch.distributed collectives into pure C++ callbacks
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* Add option to pass kwargs to CUDA graph module
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* Debug unit tests
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* Tweak comments
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* Add enabled() to BasePrimitive

* Add layernorm/rmsnorm fallback

* Add cast_fp8 fallback

* Add transpose/cast_transpose XLA fall back

* Act_lu fallback

* Add transpose fallback

* Add softmax fallback

* Unify the use of _cast_fp8

* Add tests for NVTE_JAX_CUSTOM_CALLS_RE

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* minor fixes; add set_deter to bwd_impl
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* Add basic infrastructure for Sequential module
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* Add linear op
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* Add FP8 support in linear op

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* Add reshape op and unit test
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* Disable GEMM+bias fusion with FP32 activations

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* Operator autograd state no longer needs to be initialized
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* Initial functional implementation of linear op
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* Rename subdirectory from "fuser" to "ops"

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* Update with Float8Tensor changes in #820
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* Only run distributed tests with 2 GPUs if there are >=2 GPUs
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cache was added in Python 3.9.
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---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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* WIP: update attention doc
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* WIP: update attn doc
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---------
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---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

Signed-off-by: Oleg Rybakov <orybakov@nvidia.com>
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---------
Signed-off-by: Ming Huang <mingh@nvidia.com>

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---------
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---------
Signed-off-by: Xiaowei Ren <xren@nvidia.com>
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---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Cleanup
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---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
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---------
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---------
Signed-off-by: Xin Yao <xiny@nvidia.com>
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Tensor base class functions in Float8Tensor have significant overhead.
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---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fixed Llama tutorial. Changed batch size and added fused=True.
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* Tutorial updated but not complete yet.
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---------
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>
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* Add a corresponding test
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---------
Signed-off-by: Ming Huang <mingh@nvidia.com>
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---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

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---------
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Co-authored-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* fix inconsistency for attn mask; now True means participating in attn
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Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* enforce window_size for decoder
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add docstring for mask definition 1-mask out;0-keep
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add aux_ctx_tensors to save_for_backward
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* tweak make_decoder_mask and make_mask in jax tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* skip dBias for shapes other than 1HSS; otherwise dq/dk/dv NaNs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* expand attn_biases from list to variables in save_for_backward
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix use of variable before assignment in jax dact_lu
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove window size definition for decoder
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add change notes in README for padding mask in PyTorch
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* tweak padding mask notes in README
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* expand list to tensors for save_for_backwards
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* support main_grad
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* update main_grad and fuse_wgrad_accumulation
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* fix ci errors
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* minor change
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

---------
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* added squared relu in te-torch
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

Signed-off-by: kunlunl <kunlunl@nvidia.com>
Co-authored-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* renamed gelu to act

* added relu, srelu, qgelu

* fixes initialization for layernorm_fp8_mlp tests

* moved activation_fp8 prim into testunit file

* Moved NVTE_Activation_Enum to common/.../activation.h

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

Update FP8 recipe test to handle recipe changes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* templated primitives and respective C++ functions
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes for LayerNormMLP, tests in test_custom_compute all passed
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added default arg for pybind get_workspace_size funcs
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes for TestTransFormer with non-gated act tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* renamed gelu to act
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* improved enum implementation, avoid using magic numbers
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Exposed C++ ActivationEnum to python side
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Changed error messages
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* changed conditional check on input shape for dbias_cast_transpose
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* changed dtype (tol) for bias grad tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes so that layer_norm_fp8_mlp can take bias = None
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Set bias = None in flax modules
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Add layernorm_fp8_dot unit test
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update the softmax primitives support conditions
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add tests for the softmax primitives
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Round1 refactor of test_layer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Split dropout arguments of ref code and add hidden/intermediate dropout elementwise comparison
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add dropout_braodcast_dim, self_attn_mask tests and clean a few code
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Abstract test layer and fix a rope reference code diff
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add bias tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add epsilon and float32 tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add relpos_bias and attention dropout tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Loose the atol
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move common fixtures to conftest.py
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add doc string for test_layer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add doc string for test_layer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix conflicts of test_layer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Avoid to left bias parameters in graph when use_bias=False
Signed-off-by: Reese Wang <rewang@nvidia.com>

---------
Signed-off-by: Reese Wang <rewang@nvidia.com>