From 26420733f98292639b9addb02e73fd8f12ee82e7 Mon Sep 17 00:00:00 2001
From: Jordan Gong <jordan.gong@protonmail.com>
Date: Fri, 19 Aug 2022 14:02:04 +0800
Subject: Add dependencies

- Pytorch Lighting (pytorch-lighting)
- Pytorch image models (timm)
---
 posrecon/main.py | 31 +++++++++++++++++++++++++++++++
 1 file changed, 31 insertions(+)
 create mode 100644 posrecon/main.py

(limited to 'posrecon')

diff --git a/posrecon/main.py b/posrecon/main.py
new file mode 100644
index 0000000..0660ea0
--- /dev/null
+++ b/posrecon/main.py
@@ -0,0 +1,31 @@
+from typing import Callable, Iterable
+
+import torch
+from torch.utils.data import Dataset
+
+from libs.logging import Loggers
+from libs.utils import Trainer, BaseConfig
+
+
+class PosReconTrainer(Trainer):
+    def __init__(self, *args, **kwargs):
+        super(PosReconTrainer, self).__init__(*args, **kwargs)
+
+    @staticmethod
+    def _prepare_dataset(dataset_config: BaseConfig.DatasetConfig) -> tuple[Dataset, Dataset]:
+        pass
+
+    @staticmethod
+    def _init_models(dataset: str) -> Iterable[tuple[str, torch.nn.Module]]:
+        pass
+
+    @staticmethod
+    def _configure_optimizers(models: Iterable[tuple[str, torch.nn.Module]], optim_config: BaseConfig.OptimConfig) -> \
+            Iterable[tuple[str, torch.optim.Optimizer]]:
+        pass
+
+    def train(self, num_iters: int, loss_fn: Callable, logger: Loggers, device: torch.device):
+        pass
+
+    def eval(self, loss_fn: Callable, device: torch.device):
+        pass
-- 
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