{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/layer-normalization","title":"Layer Normalization","arxiv_id":"1607.06450","date":"2016-07-21","proceeding":null,"authors":["Jimmy Lei Ba","Jamie Ryan Kiros","Geoffrey E. Hinton"],"abstract":"Training state-of-the-art, deep neural networks is computationally expensive.\nOne way to reduce the training time is to normalize the activities of the\nneurons. A recently introduced technique called batch normalization uses the\ndistribution of the summed input to a neuron over a mini-batch of training\ncases to compute a mean and variance which are then used to normalize the\nsummed input to that neuron on each training case. This significantly reduces\nthe training time in feed-forward neural networks. However, the effect of batch\nnormalization is dependent on the mini-batch size and it is not obvious how to\napply it to recurrent neural networks. In this paper, we transpose batch\nnormalization into layer normalization by computing the mean and variance used\nfor normalization from all of the summed inputs to the neurons in a layer on a\nsingle training case. Like batch normalization, we also give each neuron its\nown adaptive bias and gain which are applied after the normalization but before\nthe non-linearity. Unlike batch normalization, layer normalization performs\nexactly the same computation at training and test times. It is also\nstraightforward to apply to recurrent neural networks by computing the\nnormalization statistics separately at each time step. Layer normalization is\nvery effective at stabilizing the hidden state dynamics in recurrent networks.\nEmpirically, we show that layer normalization can substantially reduce the\ntraining time compared with previously published techniques.","url_abs":"http://arxiv.org/abs/1607.06450v1","url_pdf":"http://arxiv.org/pdf/1607.06450v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"layer-normalization","repo_url":"https://github.com/Binbose/keras-layer-normalization-rnn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/ElektrischesSchaf/LayerNorm_GRU","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/HarmanDotpy/Normalizations-in-Deep-Learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/JRC1995/Machine-Translation-Transformers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/JeffreyJosanne/nematus_tf","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/JonasRSV/DDPG","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/JonasRSV/DQN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/JonasRSV/DQNTensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/JonasRSV/PGTensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/MycChiu/fast-LayerNorm-TF","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/Waino/hnmt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/Xinsen-Zhang/transformer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":{"status":"ok"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/ajenningsfrankston/Dynamic-Memory-Network-Plus-master","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/bhaddow/dev-nematus","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/bzhangGo/rmsnorm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/chunghyunhee/twitter_disaster_NLP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/cyh1112/GraphNormalization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/daehwannam/pytorch-rnn-util","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/dhesenkamp/attentive-lstm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/iejMac/ScriptWriter","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/jiamings/fast-weights","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/kienduynguyen/Layer-Normalization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/lmnt-com/haste","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/wri/restoration-mapper","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/wri/sentinel-tree-cover","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/zhangyaoyuan/GAN-Simplification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/MindCode-4/code-12/tree/main/layer-normalization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/MindCode-4/code-7/tree/main/layer-normalization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/MindSpore-scientific-2/code-12/tree/main/layer-normalization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/Ritvik19/Implemented-Data-Science/blob/main/Normalization-In-Neural-Networks.ipynb","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"layer-normalization","repo_url":"https://github.com/labmlai/annotated_deep_learning_paper_implementations","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/mindspore-ai/contrib/tree/master/application/layer-normalization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/nanzhaogang/contrib/tree/master/application/layer-normalization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"layer-normalization","repo_url":"https://github.com/vpj/jax_transformer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"jax","reach":null}],"tasks":[],"methods":[{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"layer-normalization","method_name":"Layer Normalization"}],"datasets_introduced":[],"methods_introduced":[{"slug":"layer-normalization","name":"Layer Normalization","full_name":"Layer Normalization"}],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1607.06450","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1607.06450"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/MindCode-4/code-7/tree/main/layer-normalization","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/wri/sentinel-tree-cover","reach":{"status":"ok","spdx":"GPL-3.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Binbose/keras-layer-normalization-rnn","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/iejMac/ScriptWriter","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/HarmanDotpy/Normalizations-in-Deep-Learning","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/JonasRSV/PGTensorflow","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Waino/hnmt","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/MycChiu/fast-LayerNorm-TF","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/zhangyaoyuan/GAN-Simplification","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/JonasRSV/DQN","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/kienduynguyen/Layer-Normalization","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mindspore-ai/contrib/tree/master/application/layer-normalization","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/cyh1112/GraphNormalization","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Ritvik19/Implemented-Data-Science/blob/main/Normalization-In-Neural-Networks.ipynb","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ajenningsfrankston/Dynamic-Memory-Network-Plus-master","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/MindCode-4/code-12/tree/main/layer-normalization","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/bhaddow/dev-nematus","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/nanzhaogang/contrib/tree/master/application/layer-normalization","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/JRC1995/Machine-Translation-Transformers","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ElektrischesSchaf/LayerNorm_GRU","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/vpj/jax_transformer","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/labmlai/annotated_deep_learning_paper_implementations","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/jiamings/fast-weights","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/chunghyunhee/twitter_disaster_NLP","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/wri/restoration-mapper","reach":null}],"summary":{"ran":5,"unverified":12},"by_repo_kind":{"listed":{"samples":17,"ran":5,"repositories":10}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":8,"samples":[{"code_sha256_prefix":"7d881e4088f29595","entry":"GraphNorm","repo":"cyh1112/GraphNormalization","repo_kind":"listed","path":"norm/graph_norm.py","file_url":"https://github.com/cyh1112/GraphNormalization/blob/HEAD/norm/graph_norm.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"7d881e4088f29595"}},{"code_sha256_prefix":"74c1444feed033d0","entry":"LayerNorm","repo":"kienduynguyen/Layer-Normalization","repo_kind":"listed","path":"LayerNorm.py","file_url":"https://github.com/kienduynguyen/Layer-Normalization/blob/HEAD/LayerNorm.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"74c1444feed033d0"}},{"code_sha256_prefix":"94ce18ebe841264e","entry":"LayerNorm2D","repo":"HarmanDotpy/Normalizations-in-Deep-Learning","repo_kind":"listed","path":"Normalisations.py","file_url":"https://github.com/HarmanDotpy/Normalizations-in-Deep-Learning/blob/HEAD/Normalisations.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"94ce18ebe841264e"}},{"code_sha256_prefix":"ea323f4fc8005e6d","entry":"LayerNormLayer","repo":"JeffreyJosanne/nematus_tf","repo_kind":"listed","path":"nematus/layers.py","file_url":"https://github.com/JeffreyJosanne/nematus_tf/blob/HEAD/nematus/layers.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"ea323f4fc8005e6d"}},{"code_sha256_prefix":"def0b163983628e2","entry":"layer_norm","repo":"kienduynguyen/Layer-Normalization","repo_kind":"listed","path":"LayerNorm.py","file_url":"https://github.com/kienduynguyen/Layer-Normalization/blob/HEAD/LayerNorm.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"def0b163983628e2"}},{"code_sha256_prefix":"4455b0c0adbcbe75","entry":"LayerNormGRUCell","repo":"ElektrischesSchaf/LayerNorm_GRU","repo_kind":"listed","path":"GRU_layernorm_cell.py","file_url":"https://github.com/ElektrischesSchaf/LayerNorm_GRU/blob/HEAD/GRU_layernorm_cell.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4455b0c0adbcbe75"}},{"code_sha256_prefix":"c12ea25352a4dd86","entry":"LayerNormLayer","repo":"bhaddow/dev-nematus","repo_kind":"listed","path":"nematus/layers.py","file_url":"https://github.com/bhaddow/dev-nematus/blob/HEAD/nematus/layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"c12ea25352a4dd86"}},{"code_sha256_prefix":"b29f84a895c28c9c","entry":"create_lstm_cell_init_state","repo":"daehwannam/pytorch-rnn-util","repo_kind":"listed","path":"rnnlib/common.py","file_url":"https://github.com/daehwannam/pytorch-rnn-util/blob/HEAD/rnnlib/common.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b29f84a895c28c9c"}},{"code_sha256_prefix":"626f734fb412461b","entry":"forward_rnn","repo":"daehwannam/pytorch-rnn-util","repo_kind":"listed","path":"rnnlib/seq.py","file_url":"https://github.com/daehwannam/pytorch-rnn-util/blob/HEAD/rnnlib/seq.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"626f734fb412461b"}},{"code_sha256_prefix":"f1b57d3c5218cd84","entry":"get_indicator","repo":"daehwannam/pytorch-rnn-util","repo_kind":"listed","path":"rnnlib/common.py","file_url":"https://github.com/daehwannam/pytorch-rnn-util/blob/HEAD/rnnlib/common.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"f1b57d3c5218cd84"}},{"code_sha256_prefix":"29bb6248ac270983","entry":"group_norm","repo":"wri/restoration-mapper","repo_kind":"listed","path":"src/layers/extra_layers.py","file_url":"https://github.com/wri/restoration-mapper/blob/HEAD/src/layers/extra_layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"29bb6248ac270983"}},{"code_sha256_prefix":"0050dfbf8ad7677a","entry":"layer_norm","repo":"JRC1995/Machine-Translation-Transformers","repo_kind":"listed","path":"Machine Translation.py","file_url":"https://github.com/JRC1995/Machine-Translation-Transformers/blob/HEAD/Machine%20Translation.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0050dfbf8ad7677a"}},{"code_sha256_prefix":"caa1927febb58775","entry":"layer_norm","repo":"zhangyaoyuan/GAN-Simplification","repo_kind":"listed","path":"tensor2tensor/common_layers.py","file_url":"https://github.com/zhangyaoyuan/GAN-Simplification/blob/HEAD/tensor2tensor/common_layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"caa1927febb58775"}},{"code_sha256_prefix":"f61aa475517589c3","entry":"layer_norm_compute","repo":"zhangyaoyuan/GAN-Simplification","repo_kind":"listed","path":"tensor2tensor/common_layers.py","file_url":"https://github.com/zhangyaoyuan/GAN-Simplification/blob/HEAD/tensor2tensor/common_layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"f61aa475517589c3"}},{"code_sha256_prefix":"56c490283a6d5297","entry":"layer_norm_compute_grad","repo":"zhangyaoyuan/GAN-Simplification","repo_kind":"listed","path":"tensor2tensor/common_layers.py","file_url":"https://github.com/zhangyaoyuan/GAN-Simplification/blob/HEAD/tensor2tensor/common_layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"56c490283a6d5297"}},{"code_sha256_prefix":"80444e734e109863","entry":"layer_norm_compute_python","repo":"zhangyaoyuan/GAN-Simplification","repo_kind":"listed","path":"tensor2tensor/common_layers.py","file_url":"https://github.com/zhangyaoyuan/GAN-Simplification/blob/HEAD/tensor2tensor/common_layers.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"80444e734e109863"}},{"code_sha256_prefix":"14170af1a02b42f5","entry":"repeat_lstm_cell_state","repo":"daehwannam/pytorch-rnn-util","repo_kind":"listed","path":"rnnlib/common.py","file_url":"https://github.com/daehwannam/pytorch-rnn-util/blob/HEAD/rnnlib/common.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"14170af1a02b42f5"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}