# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.

import torch.nn as nn
import torch.nn.functional as F


class FairseqDecoder(nn.Module):
    """Base class for decoders."""

    def __init__(self, dictionary):
        super().__init__()
        self.dictionary = dictionary

    def forward(self, prev_output_tokens, encoder_out):
        raise NotImplementedError

    def get_normalized_probs(self, net_output, log_probs):
        """Get normalized probabilities (or log probs) from a net's output."""
        vocab = net_output.size(-1)
        net_output1 = net_output.view(-1, vocab)
        if log_probs:
            return F.log_softmax(net_output1, dim=1).view_as(net_output)
        else:
            return F.softmax(net_output1, dim=1).view_as(net_output)

    def max_positions(self):
        """Maximum input length supported by the decoder."""
        raise NotImplementedError

    def upgrade_state_dict(self, state_dict):
        return state_dict
