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Update copyright to include 2026
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

[PyTorch] Implement Selective Activation Checkpointing for LayerNormMLP with checkpoint flag (#2311)

* custom tests for selective activation checkpointing for layernorm mlp
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* add selective layernorm mlp to te.pytorch
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* update test and fix SLNMLP bug
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* fix small typo in tests/pytorch/selective_layernorm_mlp/compare.py
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* make selectiuve activation checkpointing optional in slnmlp via checkpoint flag
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* add comments to clarify logic
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* refactor tests to call modified LayerNormMLP
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* refactor to implement selective activation checkpointing directly into LayerNormMLP, also fix bug to reach cleanup logic in fwd
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* fix MOST cuda graph failures by initializing identical quantizers during fwd. Float8CurrentScaling with bf16 and fp16 still fail with checkpointing
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* fix cuda graphs issue, all tests pass now
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* fix small logic bugs, clean up
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* integrate tests into main testing scripts
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* incorporate rng state tracking in checkpointing
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* clean up tests
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* minor typo fix
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* clear up assertions in tests/pytorch/layernorm_mlp/test_selective_activation_checkpoint.py
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* skip cuda graphs test for SLNMLP with SM>=10.0 and using delayed scaling
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Signed-off-by: zhongboz <zhongboz@nvidia.com>

add test case for current scaling dequantize
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[pre-commit.ci] auto fixes from pre-commit.com hooks

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Signed-off-by: zhongboz <zhongboz@nvidia.com>

finish linear layer fwd bwd test, determined error with bf16
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[pre-commit.ci] auto fixes from pre-commit.com hooks

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achieved zero tolerance for Linear by specify gemm use_split_accumulator config
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enable layernormlinear with current scaling, pass bitwise test
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refactor test case code
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make current scaling quantizers distrbuted, pass distributed linear&layernormlinear tests
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bug fix: use cached fp8 recipe in backward
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fix layernorm_mlp with current scaling, fix activation_helper with current scaling
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support detailed numerical settings from recipe to quantization kernel
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resolving MR comments
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recipe naming
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* resolve mr comments, remove IS_CURRENT_SCALING template from kernels
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* resolve mr comments, make current scaling c++ test cases
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* add current scaling to test_numerics.py, skip act recomp and grouped linear
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* add benchmark for quantizer
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* add benchmarks for linear layer
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* Debug import error in FP8 tensor test
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* Debug compilation error with CUDA 12.1 for Turing
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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* resolve mr comments, fix activation cast fusion
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* resolve comments, add NVTEQuantizationParams for compute scale
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* remove is_current_scaling check totally from common folder
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* remove benchmarks, will contribute in another repo
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* adjust cs default recipe config
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* Remove current scaling mode from core lib
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* Fix cuDNN front-end commit
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* Review suggestions from @sudhakarsingh27 and @ksivaman

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Cleanup
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