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Ref params of rmsnorm will make program corruption with 'nil' error.
Signed-off-by: wenjh <wenjh@sugon.com>

API `rmsnorm_forward` of python returns 3 values rather than 2 from V2.3
Signed-off-by: wenjh <wenjh@sugon.com>

Due to the difference of warp size between nvidia(32) and dtk(64), the
OperatorTest/CTDBiasTestSuite.TestCTDBias/* are all failed except:

* OperatorTest/CTDBiasTestSuite.TestCTDBias/bfloat16Xfloat32X65536X128
* OperatorTest/CTDBiasTestSuite.TestCTDBias/bfloat16Xfloat16X65536X128
* OperatorTest/CTDBiasTestSuite.TestCTDBias/bfloat16Xbfloat16X65536X128
* OperatorTest/CTDBiasTestSuite.TestCTDBias/bfloat16Xfloat8e5m2X65536X128
* OperatorTest/CTDBiasTestSuite.TestCTDBias/bfloat16Xfloat8e4m3X65536X128

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

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
Signed-off-by: Guyue Huang <guyueh@nvidia.com>

* Fix error LayerNormMLP param.grad is None
Signed-off-by: Guyue Huang <guyueh@nvidia.com>

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* Update dtype for wgrad GEMM
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* [PyTorch] fix general_gemm argument out_dtype in LayerNormMLP backward
Signed-off-by: Markus Schnoes <markus.schnoes@gmx.de>

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* refactor + mxfp8

* added grouped gemm

* rename linear to dense

* added cublas init phase for groupedGemm

* relax the tol of test encoder multiprocessing mxfp8 by 0.001
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

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* Handle case where FP8 current scaling quantizer gets default process group
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* Fix linter warning
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Avoid canonicalizing TP group since it may not be initialized
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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Add fast path for causal masking with segment IDs.
Signed-off-by: Michael Goldfarb <mgoldfarb@nvidia.com>

fix a race error softmax_lse
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* Cleanup sanity tests and add CS recipe tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix sanity test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix CG capture with CS recipe
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* Fix ops for CG
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* Coalesce NCCL all-gathers for MXFP8 all-gather
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* Add missing import
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* Cache quantized input tensor after linear module forward pass
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* Fix linter warnings
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Avoid unnecessarily allocating layernorm output in LayerNormLinear/LayerNormMLP
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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* skip cuDNN 9.8 for KV caching
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* revert from max_seqlen_kv to max_sequence_length for InferenceParams
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* rename test_paged_attn to test_kv_cache
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* remove redundant None returns in bwd
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* add debug flags when no backend is found
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* skip kv_cache_accuracy tests for cuDNN 9.8
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* truncate length of cu_seqlens for consistency with q/k/v shape
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* add back padding_brcm for fused attn tests
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* re-enable kv_cache_accuracy test for 9.8
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* fix cuDNN search dir
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* fixes based on review
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* remove extra empty line
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* Fix mxfp8 columnwise data missing when switching from validation to training
Signed-off-by: Guyue Huang <guyueh@login-preos02.a51.clusters.nvidia.com>

* Fix when you interleave training and inference
Signed-off-by: Guyue Huang <guyueh@login-preos02.a51.clusters.nvidia.com>

* refact
Signed-off-by: Guyue Huang <guyueh@login-preos02.a51.clusters.nvidia.com>

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* rm useless code
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* Update transformer_engine/pytorch/module/base.py
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* Fix linter warnings
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* Defer torch compilation steps until first function call
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* Fix function call in smoke test
Signed-off-by: Peter St. John <pstjohn@nvidia.com>

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fix mcore DDP error
Signed-off-by: lit <lit@nvidia.com>
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