[FusedRMSNorm doc] document where epsilon is added#1295
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crcrpar merged 3 commits intoNVIDIA:masterfrom Feb 11, 2022
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[FusedRMSNorm doc] document where epsilon is added#1295crcrpar merged 3 commits intoNVIDIA:masterfrom
crcrpar merged 3 commits intoNVIDIA:masterfrom
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I'm not sure this formula is accurate, as the epsilon value is used during the computation of the root-mean-square: apex/csrc/layer_norm_cuda_kernel.cu Line 378 in e1aa1fc |
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Thank you for catching that, @eqy. You're correct - perhaps we just document this nuance as in my last edit? |
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eqy
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thank you @stas00 |
crcrpar
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Feb 11, 2022
hubertlu-tw
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Apr 15, 2022
* [FusedRMSNorm doc] add epsilon to formula * correct * better wording
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* FusedRMSNorm/"T5LayerNorm" based on FusedLayerNorm (NVIDIA#1274) * FusedRMSNorm based on FusedLayerNorm * refactor duplicated kernels * delete comments * delete comments * cleanup * cleanup * cleanup, fixed clobbering forward_affine_mixed_dtypes * fix pybind naming and add MixedFused test * undo skipping * check elementwise_affine * Update tests/L0/run_fused_layer_norm/test_fused_layer_norm.py Oof, nice catch, thanks Co-authored-by: Masaki Kozuki <masaki.kozuki.2014@gmail.com> Co-authored-by: Masaki Kozuki <masaki.kozuki.2014@gmail.com> * fix and generate docs for FusedRMSNorm (NVIDIA#1285) * [FusedRMSNorm doc] document where epsilon is added (NVIDIA#1295) * [FusedRMSNorm doc] add epsilon to formula * correct * better wording * Fix some bugs * Optimize HostRMSNormGradient and HostApplyRMSNorm for AMD GPUs * Fix NaN issues in FusedRMSNorm * Update test_fused_layer_norm.py * Skip test_fused_layer_norm.TestAutocastFusedRMSNorm on ROCm * Use at::cuda::warp_size() instead of at::cuda::getCurrentDeviceProperties()->warpSize Co-authored-by: eqy <eddiey@nvidia.com> Co-authored-by: Masaki Kozuki <masaki.kozuki.2014@gmail.com> Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
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This PR adds the the missing epsilon to formula to match the code
It's actually very unlikely that the denominator will ever be zero in this class - unless each input is zero, since this is the root of sum of squares of numbers.
I don't know if it's faster to add epsilon than to check if all inputs are zero, since the output will be zero then.
@eqy