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Revert "Use internal quantizer for input to the modules (#1551)"

This reverts commit b3e70353

.
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

Internal quantizer for input to the modules
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Verified TE2.0 with offloading
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* Skipping tests for Ampere and removed child class preparing
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* offloading support for MXFP8 dtype
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* Changed quantized tensor detection mechanism
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* Fix mxfp8 offload, lint errors, and var name
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* Supported disabling offloading for quantized tensors
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* bug fix
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* Fixed bugs
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* Added support for None in list of Quantized data tensors
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* Hopper backward compatibility cleanup
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* Coding style nit
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* Added guards
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setup basics of current scaling quantizer in python level
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achieved zero tolerance for Linear by specify gemm use_split_accumulator config
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enable layernormlinear with current scaling, pass bitwise test
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make current scaling quantizers distrbuted, pass distributed linear&layernormlinear tests
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bug fix: use cached fp8 recipe in backward
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fix layernorm_mlp with current scaling, fix activation_helper with current scaling
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support detailed numerical settings from recipe to quantization kernel
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resolving MR comments
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