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Due to the compiler compiling incorrect code. The following test case crashed:

* OperatorTest/CTTestSuite.TestCastTranspose/bfloat16Xbfloat16X2048X12288
* OperatorTest/CTTestSuite.TestCastTranspose/bfloat16Xbfloat16X65536X128
* OperatorTest/CTTestSuite.TestCastTranspose/bfloat16Xbfloat16X256X65536

This commit is intended to fix these test cases.
Signed-off-by: wenjh <wenjh@sugon.com>

[DCU] add env vars to suppress build warnings

See merge request dcutoolkit/deeplearing/TransformerEngine!2

add lightop rmsnorm

See merge request dcutoolkit/deeplearing/TransformerEngine!1

* Fix GEMM+RS overlap for LayerNormMLP
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* Fix error LayerNormMLP param.grad is None
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* Update dtype for wgrad GEMM
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* [PyTorch] fix general_gemm argument out_dtype in LayerNormMLP backward
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* refactor + mxfp8

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* Handle case where FP8 current scaling quantizer gets default process group
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* Fix mxfp8 columnwise data missing when switching from validation to training
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import te before te_jax
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* Update usage of weightmat before saving for backward
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* clone scaling factors of fwd quantizers
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* Enable fp8_primary_weights for current scaling
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* Minor changes in comments
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