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* Support L2Norm basic op
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* Add L2Norm module wrapper
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* Linear op avoids saving input tensor if weight grad is not needed
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* Add option to cache activation input in FP8
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* Debug checkpointing with te.Sequential
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Explicitly specify quantized tensor usages needed for linear op backward
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* Add activation ops
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* Fix lint warnings
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* Fix linter warning
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* Remove manual FP8 scale update for FP8 params
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* lint
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* Add layer norm op
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* Fix linter warnings
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* Replace LayerNorm module with LayerNorm op
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* Replace RMSNorm module with RMSNorm op
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* Add AMP support
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* Do not save autograd context if grad mode is disabled

Debugging ONNX export tests.
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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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* Use weight dtype as default compute dtype
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* Handle Float8Tensor when casting module dtype

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* Respect autocast dtype in linear op
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* Suppress linter warning
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* Suppress linter warning
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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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* Debug dimension mismatch with amax history
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* Move dequantize logic to proxy_decode func
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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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* Move logic for FP8 transpose cache in FP8 workspaces to base class
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* Remove cast-transpose logic from linear op
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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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* 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 fused op for dgrad+add
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* Add documentation
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* Fix linter warnings
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* Review suggestions from @ptrendx

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* Debug test failures
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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

Runs, but need to validate. Runtime errors with non-FP8 params and FP8 compute, or FP8 params and non-FP8 compute.
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* Add reshape op and unit test
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* Add bias op
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* Add unfused linear op

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* Debug unfused linear op
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* Add test for linear+bias op
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* Consolidate unfused ops in submodule
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* Use fused cast-transpose in linear ops
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* Disable GEMM+bias fusion with FP32 activations

Not supported by cuBLAS.
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* Refactor parallel tests to reduce job launches
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* Rename pipeline to fuser

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* Fix cuDNN front-end commit
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* Rename subdirectory from "fuser" to "ops"

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* Update with Float8Tensor changes in #820
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* Remove unnecessary CPU overheads
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