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* fix
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* c28619d8999a147d5e09c1199f84ff6af6ad5794
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setup basics of current scaling quantizer in python level
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finish linear layer fwd bwd test, determined error with bf16
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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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* bug fix, typo
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* Debug linter warnings and license check
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* remove benchmarks, will contribute in another repo
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* Remove current scaling mode from core lib
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* Refactor current-scaling-specific logic in core C++ lib

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* moved userbuffers code to TE/common
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* updated bootstrap backend documentation
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* close UB bootstrap socket to avoid interfering with CUDA Multicast shareable file handle send/recv
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* added torch::Tensor wrappers for communication buffer and atomic counters so PyTorch can factor externally allocated memory into its garbage collection threshold
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* automated handling of world, local and node ranks/sizes within C++ CommOverlapHelper to simplify Python function signatures
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* Update dependencies for building documentation
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* Fixes to Float8Tensor
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* Add ONNX export support for TE modules (#1)

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* updates
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* minor fix: coding guidelines
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