GitLab

* Add activation ops
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* Remove manual FP8 scale update for FP8 params
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* lint
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Debug ONNX export with te.Sequential

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* Add Userbuffers support for column TP linear layer
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* Debug bug with incorrect bias pointers in UB GEMM

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* Fused cast-transpose-dbias
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* Support case where wgrad is optional
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* Expand documentation
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* Fix missing imports
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* Add layer norm op
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* Add AMP support
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* Do not save autograd context if grad mode is disabled

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* Forward args in pre_forward func to base op class
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* Update to use QuantizedTensor class
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* Apply suggestions from code review
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* Review suggestions from @ptrendx

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* Fix linter warnings
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* Debug checkpointing with operation-based API
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* Store checkpoint FP8 state on CPU
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* Fix bug where linear op was saving params multiple times
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* Debug CUDA graph support with operation-based API
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* Refactoring CUDA graph tests
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* Review suggestions from @ptrendx

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* Avoid unnecessary recursion when saving/loading FP8 state
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* Fix circular import
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* Upgrade pylint and first round formatting
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* Handle Float8Tensor when casting module dtype

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* Respect autocast dtype in linear op
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* Tweak comments

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* Add base class for tensor proxies
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* Move tensor detaching logic to tensor proxy base class
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* Include transpose caching logic in proxy encode function
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* Rename to "QuantizedTensor"
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* Rename "proxy_detach" to "detach"
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* Include transpose cache in detach and clone funcs
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* Update FP8 workspaces with QuantizedTensor functions
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* Remove unnecessary args for Float8Tensor when using FP8 attr dict
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* Remove __torch_function__ to QuantizedTensor
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* Fix linter warnings
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* Update tests/pytorch/test_float8tensor.py
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* Debug cast functions
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* Add op for in-place add
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* Add op for in-place add
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* Add op that adds extra output to fuser
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* Add fused op for GEMM+bias+add
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* Add documentation
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* Review suggestions from @ptrendx

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* Debug test failures
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* Link attention docs to the main docs and fix errors reported by Sphinx
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* Lower the version of nbsphinx
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* Update sequential container constructor to handle modules in plain dicts
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* Avoid initializing Sequential with dicts
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* Add basic infrastructure for Sequential module
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* Add FP8 support in linear op

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* Add reshape op and unit test
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* Fix cuDNN front-end commit
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