From 40c1dd507b30813d7fe03d65956ee8feb971e230 Mon Sep 17 00:00:00 2001
From: Danielle Pintz <daniellepintz@meta.com>
Date: Tue, 3 Jan 2023 14:09:38 -0800
Subject: [PATCH] Remove unnecessary pyre fixmes (#293)

Summary: Pull Request resolved: https://github.com/pytorch/tnt/pull/293

Reviewed By: ananthsub

Differential Revision: D42279549

fbshipit-source-id: 141cac13387b553e103b502c041991f64fea6fcb
---
 examples/framework/auto_unit_example.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/examples/framework/auto_unit_example.py b/examples/framework/auto_unit_example.py
index f72cd6bd36..c36eef008f 100644
--- a/examples/framework/auto_unit_example.py
+++ b/examples/framework/auto_unit_example.py
@@ -89,10 +89,8 @@ def __init__(
         self.tb_logger = tb_logger
         # create an accuracy Metric to compute the accuracy of training
         self.train_accuracy = train_accuracy
-        # pyre-fixme[4]: See T137070928
         self.loss = None
 
-    # pyre-fixme[3]: See T137070928
     def compute_loss(self, state: State, data: Batch) -> Tuple[torch.Tensor, Any]:
         inputs, targets = data
         # convert targets to float Tensor for binary_cross_entropy_with_logits
@@ -108,7 +106,6 @@ def update_metrics(
         state: State,
         data: Batch,
         loss: torch.Tensor,
-        # pyre-fixme[2]: See T137070928
         outputs: Any,
     ) -> None:
         self.loss = loss