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def | __init__ (self, args, kwargs) |
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def | check_forward_args (self, input, hidden, batch_sizes) |
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def | permute_hidden (self, hx, permutation) |
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def | forward_impl (self, input, hx, batch_sizes, max_batch_size, sorted_indices) |
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def | forward_tensor (self, input, hx=None) |
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def | forward_packed (self, input, hx=None) |
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def | forward (self, input, hx=None) |
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def | __init__ (self, mode, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0., bidirectional=False) |
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def | flatten_parameters (self) |
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def | reset_parameters (self) |
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def | get_flat_weights (self) |
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def | check_input (self, input, batch_sizes) |
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def | get_expected_hidden_size (self, input, batch_sizes) |
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def | check_hidden_size (self, hx, expected_hidden_size, msg='Expected hidden size{}, got) |
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def | check_forward_args (self, input, hidden, batch_sizes) |
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def | permute_hidden (self, hx, permutation) |
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def | forward (self, input, hx=None) |
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def | extra_repr (self) |
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def | __setstate__ (self, d) |
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def | all_weights (self) |
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Definition at line 376 of file rnn.py.