updated pytorch to 1.13.1

README.md

@@ -4,7 +4,7 @@ This repository contains code for the following two papers:
 - [ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition](https://arxiv.org/abs/2104.03841). Code is provided to download and prepare the ORBIT benchmark dataset, and train/test 4 few-shot learning models on this dataset (at 84x84 frames). 
 - [Memory Efficient Meta-Learning with Large Images](https://arxiv.org/abs/2107.01105). Code is provided for Large Image and Task Episodic (LITE) training, enabling the models to be trained on large (224x224) frames on a single GPU.
 
-The code is authored by Daniela Massiceti and built using PyTorch 1.13.0, TorchVision 0.14.0, and Python 3.7.
+The code is authored by Daniela Massiceti and built using PyTorch 1.13.1, TorchVision 0.14.0, and Python 3.7.
 
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environment.yml

@@ -8,7 +8,7 @@ dependencies:
   - pip=22.2.2
   - plotly=4.8.1
   - plotly-orca=1.3.1
-  - pytorch=1.13.0
+  - pytorch=1.13.1
   - pytorch-cuda=11.6
   - torchvision=0.14.0
   - tqdm=4.62.3