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        "description": "=====================\npytorch-stateful-lstm\n=====================\n\n\n.. image:: https://img.shields.io/pypi/v/pytorch_stateful_lstm.svg\n        :target: https://pypi.python.org/pypi/pytorch_stateful_lstm\n\n.. image:: https://img.shields.io/travis/cnt-dev/pytorch-stateful-lstm.svg\n        :target: https://travis-ci.org/cnt-dev/pytorch-stateful-lstm\n\n* Free software: MIT license\n\nFeatures\n--------\n\nPytorch LSTM implementation powered by Libtorch, and with the support of:\n\n- Hidden/Cell Clip.\n- Skip Connections.\n- Variational Dropout & DropConnect.\n- Managed Initial State.\n- Built-in TBPTT.\n\nBenchmark: https://github.com/cnt-dev/pytorch-stateful-lstm/tree/master/benchmark\n\nInstall\n-------\n\nPrerequisite: `torch>=1.0.0`, supported C++11 compiler (see here_). To install through pip::\n\n    pip install pytorch-stateful-lstm\n\n.. _here: https://github.com/pytorch/pytorch/blob/0bf1383f0a6caa34945feaf19191986d18205251/torch/utils/cpp_extension.py#L169-L181\n\nUsage\n-----\n\nExample::\n\n    import torch\n    from torch.nn.utils.rnn import pack_padded_sequence, PackedSequence\n    from pytorch_stateful_lstm import StatefulUnidirectionalLstm\n\n    lstm = StatefulUnidirectionalLstm(\n            num_layers=2,\n            input_size=3,\n            hidden_size=5,\n            cell_size=7,\n    )\n\n    inputs = pack_padded_sequence(torch.rand(4, 5, 3), [5, 4, 2, 1], batch_first=True)\n    raw_packed_outputs, lstm_state = lstm(\n            inputs.data,\n            inputs.batch_sizes\n    )\n    outputs = PackedSequence(raw_packed_outputs, inputs.batch_sizes)\n\nFor the definition of parameters, see https://github.com/cnt-dev/pytorch-stateful-lstm/tree/master/extension.\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2019-01-03)\n------------------\n\n* First release on PyPI.",
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