4e99c12dc0ec327e5eb5b91a21f6d6b055bee991,torchaudio/functional/functional.py,,amplitude_to_DB,#Any#Any#Any#Any#Any#,233

Before Change

    x_db -= multiplier * db_multiplier

    if top_db is not None:
        x_db = x_db.clamp(min=x_db.max().item() - top_db)

    return x_db

After Change

        packed_channels = shape[-3] if x_db.dim() > 2 else 1
        x_db = x_db.reshape(-1, packed_channels, shape[-2], shape[-1])

        x_db = torch.max(x_db, (x_db.amax(dim=(-3, -2, -1)) - top_db).view(-1, 1, 1, 1))

        // Repack batch
        x_db = x_db.reshape(shape)

Instances