GitLab

* Add base class for tensor proxies
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Move tensor detaching logic to tensor proxy base class
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use Python wrappers to PyTorch extensions
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Include transpose caching logic in proxy encode function
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug dimension mismatch with amax history
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Move dequantize logic to proxy_decode func
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Rename to "QuantizedTensor"
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Rename "proxy_detach" to "detach"
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Include transpose cache in detach and clone funcs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix linter warnings
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



* Update FP8 workspaces with QuantizedTensor functions
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Move logic for FP8 transpose cache in FP8 workspaces to base class
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove cast-transpose logic from linear op
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove unnecessary args for Float8Tensor when using FP8 attr dict
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove __torch_function__ to QuantizedTensor
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix linter warnings
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update tests/pytorch/test_float8tensor.py
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Debug FP8 transpose test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug cast functions
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>