researches/chunk_unity/modules/causal_conv1d.py

##########################################
# Streaming Conv1d in StreamSpeech
#
# StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning (ACL 2024)
##########################################

from typing import Optional

import torch
import torch.nn.functional as F


class CausalConv1d(torch.nn.Conv1d):
    def __init__(
        self,
        in_channels,
        out_channels,
        kernel_size,
        stride=1,
        dilation=1,
        groups=1,
        bias=True,
    ):
        super(CausalConv1d, self).__init__(
            in_channels,
            out_channels,
            kernel_size=kernel_size,
            stride=stride,
            padding=0,
            dilation=dilation,
            groups=groups,
            bias=bias,
        )

        self.__padding = (kernel_size - 1) * dilation

    def forward(self, input):
        return super(CausalConv1d, self).forward(F.pad(input, (self.__padding, 0)))