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13a7cc8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # SPDX-FileCopyrightText: 2025 Stanford University, ETH Zurich, and the project authors (see CONTRIBUTORS.md)
# SPDX-FileCopyrightText: 2025 This source file is part of the OpenTSLM open-source project.
#
# SPDX-License-Identifier: MIT
from abc import abstractmethod
import torch
import torch.nn as nn
from opentslm.model_config import TRANSFORMER_INPUT_DIM, PATCH_SIZE
class TimeSeriesDecoderBase(nn.Module):
"""
Base class for time series decoders.
Decoders map from latent representations back to time series space.
"""
def __init__(
self,
input_dim: int = TRANSFORMER_INPUT_DIM,
patch_size: int = PATCH_SIZE,
dropout: float = 0.0,
):
"""
Args:
input_dim: Dimension of input latent representation
patch_size: Size of time series patches to reconstruct
dropout: Dropout probability
"""
super().__init__()
self.input_dim = input_dim
self.patch_size = patch_size
self.dropout = dropout
@abstractmethod
def forward(self, x: torch.Tensor) -> torch.Tensor:
"""
Decode latent representation to time series.
Args:
x: Latent representation from encoder
Returns:
Reconstructed time series
"""
pass |