Remove the examples force required torch 1.13.1 (#2074)

* remove alexnet_fashion_mnist notebook

Signed-off-by: chensuyue <suyue.chen@intel.com>

* remove rnnt in pytorch examples

Signed-off-by: chensuyue <suyue.chen@intel.com>

---------

Signed-off-by: chensuyue <suyue.chen@intel.com>

Author: chensuyue

examples/.config/model_params_pytorch.json

@@ -316,13 +316,6 @@
       "batch_size": 100,
       "main_script": "run.py"
     },
-    "rnnt": {
-      "model_src_dir": "speech_recognition/rnnt/quantization/ptq_dynamic/fx",
-      "dataset_location": "/tf_dataset/pytorch/rnnt/convert_dataset/",
-      "input_model": "/tf_dataset/pytorch/rnnt/rnnt.pt",
-      "main_script": "run_tune.py",
-      "batch_size": 100
-    },
     "wav2vec2_dynamic":{
       "model_src_dir": "speech_recognition/torchaudio_models/quantization/ptq_dynamic/fx",
       "dataset_location": "/tf_dataset2/datasets/speech_data/LibriSpeech/test-clean",

examples/README.md

@@ -486,12 +486,6 @@ Intel® Neural Compressor validated examples with multiple compression technique
     <td>Post-Training Dynamic Quantization</td>
     <td><a href="./pytorch/speech_recognition/torchaudio_models/quantization/ptq_dynamic/fx">fx</a></td>
   </tr>
-  <tr>
-    <td>RNNT</td>
-    <td>Speech Recognition</td>
-    <td>Post-Training Dynamic Quantization</td>
-    <td><a href="./pytorch/speech_recognition/rnnt/quantization/ptq_dynamic/fx">fx</a></td>
-  </tr>
   <tr>
     <td>BlendCNN</td>
     <td>Natural Language Processing</td>
@@ -1479,7 +1473,6 @@ Intel® Neural Compressor validated examples with multiple compression technique
 # Notebook Examples
 
 * [Performance of FP32 Vs. INT8 ResNet50 Model](/examples/notebook/perf_fp32_int8_tf): compare existed FP32 & INT8 ResNet50 model directly.
-* [Intel® Neural Compressor Sample for PyTorch*](/examples/notebook/pytorch/alexnet_fashion_mnist): an End-To-End pipeline to build up a CNN model by PyTorch to recognize fashion image and speed up AI model by Intel® Neural Compressor.
 * [Intel® Neural Compressor Sample for TensorFlow*](/examples/notebook/tensorflow/alexnet_mnist): an End-To-End pipeline to build up a CNN model by TensorFlow to recognize handwriting number and speed up AI model by Intel® Neural Compressor.
 * [Accelerate VGG19 Inference on Intel® Gen4 Xeon® Sapphire Rapids](/examples/notebook/tensorflow/vgg19_ibean): an End-To-End pipeline to train VGG19 model by transfer learning based on pre-trained model from [TensorFlow Hub](https://tfhub.dev); quantize it by Intel® Neural Compressor on Intel® Gen4 Xeon® Sapphire Rapids.