Fix small bug in Pytorch xquant notebook (sony#1234)

* Fix small bug in PyTorch xquant notebook * Fix broken links --------- Co-authored-by: liord <[email protected]>
lapid92 · Sep 29, 2024 · 9eb83cb · 9eb83cb
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diff --git a/README.md b/README.md
@@ -42,7 +42,7 @@ Explore the Model Compression Toolkit (MCT) through our tutorials,
 covering compression techniques for Keras and PyTorch models. Access interactive [notebooks](https://github.com/sony/model_optimization/blob/main/tutorials/README.md) 
 for hands-on learning. For example:
 * [Keras MobileNetV2 post training quantization](https://github.com/sony/model_optimization/blob/main/tutorials/notebooks/imx500_notebooks/keras/example_keras_mobilenetv2_for_imx500.ipynb)
-* [Post training quantization with PyTorch](https://github.com/sony/model_optimization/blob/main/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_ptq_mnist.ipynb)
+* [Post training quantization with PyTorch](https://github.com/sony/model_optimization/blob/main/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_post_training_quantization.ipynb)
 * [Data Generation for ResNet18 with PyTorch](https://github.com/sony/model_optimization/blob/main/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_data_generation.ipynb).
 
 

diff --git a/tutorials/README.md b/tutorials/README.md
@@ -7,7 +7,7 @@ Access interactive Jupyter notebooks for hands-on learning.
 ## Getting started
 Learn how to quickly quantize pre-trained models using MCT's post-training quantization technique for both Keras and PyTorch models.
 - [Post training quantization with Keras](notebooks/imx500_notebooks/keras/example_keras_mobilenetv2_for_imx500.ipynb)
-- [Post training quantization with PyTorch](notebooks/mct_features_notebooks/pytorch/example_pytorch_ptq_mnist.ipynb)
+- [Post training quantization with PyTorch](notebooks/mct_features_notebooks/pytorch/example_pytorch_post_training_quantization.ipynb)
 
 ## MCT Features
 This set of tutorials covers all the quantization tools provided by MCT. 

diff --git a/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_xquant.ipynb b/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_xquant.ipynb
@@ -153,7 +153,7 @@
     "result = xquant_report_pytorch_experimental(\n",
     "            float_model,\n",
     "            quantized_model,\n",
-    "            repr_dataset,\n",
+    "            random_data_gen,\n",
     "            validation_dataset,\n",
     "            xquant_config\n",
     "        )"