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* Enable fp8_primary_weights for current scaling
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* Use different cast_master_weights_to_fp8 functions depending on the type of quantizer
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* All amaxes of model_weights should participate in reduce-max
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Clear _high_precision_init_val automatically in cast_master_weights_to_fp8 function
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Merge all all-reduce on amaxes into one NCCL kernel
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* Add unit tests for multi_tensor_compute_scale_and_scale_inv and preserve_high_precision_init_val
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Fix conflicts
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* Add unit test for cast_master_weights_to_fp8
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* use mock group to initialize fp8_autocast to avoid reduction of amax_history by fp8_autocast_exit
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Remove with_computing_amax and with_computing_scale
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Move replace_raw_data from QuantizedTensor to utils.py
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Remove allow_empty_output argument from nvte_compute_amax and set it always be true
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Rename import guard of recipe_common.cuh to be align with other import guards
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Add unit test for replace_raw_data
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* Add test_replace_raw_data into qa/L0_pytorch_unittest/test.sh
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Minor changes in comments
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Add randomness to the unit test of replace_raw_data
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* (Maybe need revert) Add tex.quantize_to_fragment
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* (Maybe needsto rrevert) Use nvte_quantize_noop in quantize_to_fragment
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* Fix lint error
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Move high_precision_init_val test and replace_raw_data test to test_sanity.py
Signed-off-by: kunlunl <kunlunl@nvidia.com>

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* Remove test_fp8_model_init.py and test_replace_raw_data.py
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Remove cast_master_weights_to_fp8 and replace_raw_data from __all__ of tensor.__init__.py
Signed-off-by: kunlunl <kunlunl@nvidia.com>

* Move FP8 casting logic back from C++ tex funcs to Python
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* Remove unimplemented function from header
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: kunlunl <kunlunl@nvidia.com>
Signed-off-by: Kunlun Li <94586211+kunlunl@users.noreply.github.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>