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* Remove manual FP8 scale update for FP8 params
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* Add layer norm op
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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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* Handle Float8Tensor when casting module dtype

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* Add base class for tensor proxies
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* Update FP8 workspaces with QuantizedTensor functions
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* Add op for in-place add
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* Fix linter warnings
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* Review suggestions from @ptrendx

Output tensor dtype and device take precedence over weight tensor in linear functional API. Move some index calculation to fuser constructor. Avoid some unnecessary dereferences.
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* Add basic infrastructure for Sequential module
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* Add linear op
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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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* Disable GEMM+bias fusion with FP32 activations

Not supported by cuBLAS.
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* Debug multi-GPU FP8 test
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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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* Review suggestions from @sudhakarsingh27 and @ksivaman

Fix spelling of "fusible". Avoid "input" name in internal APIs.
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