Pytorch sample readme (oneapi-src#820)

Changed Getting-Started Samples to Getting-Started-Samples.

Author: bdmoore1

AI-and-Analytics/Getting-Started-Samples/IntelPyTorch_GettingStarted/README.md

@@ -1,5 +1,5 @@
 # `PyTorch HelloWorld` Sample
-PyTorch* is a very popular framework for deep learning. Intel and Facebook* collaborate to boost PyTorch* CPU Performance for years. The official PyTorch has been optimized using oneAPI Deep Neural Network Library (oneDNN) primitives by default. This sample demonstrates how to train a PyTorch model and shows how Intel-optimized PyTorch* enables Intel® Deep Neural Network Library (Intel® DNNL) calls by default. 
+PyTorch* is a very popular framework for deep learning. Intel and Facebook* collaborate to boost PyTorch* CPU Performance for years. The official PyTorch has been optimized using oneAPI Deep Neural Network Library (oneDNN) primitives by default. This sample demonstrates how to train a PyTorch model and shows how Intel-optimized PyTorch* enables Intel® Deep Neural Network Library (Intel® DNNL) calls by default.
 
 | Optimized for                       | Description
 |:---                               |:---
@@ -15,7 +15,7 @@ This sample code shows how to get started with Intel Optimization for PyTorch. I
 Intel-optimized PyTorch* is available as part of Intel® AI Analytics Toolkit. For more information on the optimizations as well as performance data, see this blog post http://software.intel.com/en-us/articles/intel-and-facebook-collaborate-to-boost-pytorch-cpu-performance.
 
 ## Key implementation details
-This Hello World sample code is implemented for CPU using the Python language. 
+This Hello World sample code is implemented for CPU using the Python language.
 
 *Please* **export the environment variable `DNNL_VERBOSE=1`** *to display the deep learning primitives trace during execution.*
 
@@ -59,10 +59,10 @@ Third party program Licenses can be found here: [third-party-programs.txt](https
     ```
     conda activate user_pytorch
     ```
-  
+
 4.	Navigate to the directory with the TensorFlow sample:
     ```
-    cd ~/oneAPI-samples/AI-and-Analytics/Getting-Started Samples/IntelPyTorch_GettingStarted
+    cd ~/oneAPI-samples/AI-and-Analytics/Getting-Started-Samples/IntelPyTorch_GettingStarted
     ```
 
 5. Run the Python script
@@ -81,7 +81,7 @@ Third party program Licenses can be found here: [third-party-programs.txt](https
     Please find more information about the mkldnn log [here](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html).
 
 ## Example of Output
-With successful execution, it will print out `[CODE_SAMPLE_COMPLETED_SUCCESSFULLY]` in the terminal.  
+With successful execution, it will print out `[CODE_SAMPLE_COMPLETED_SUCCESSFULLY]` in the terminal.
 
 
 ## Running The Sample In DevCloud (Optional)
@@ -92,7 +92,7 @@ Please refer to [using samples in DevCloud](https://github.com/intel-ai-tce/oneA
 
 1.	Navigate to the directory with the TensorFlow sample:
 ```
-cd ~/oneAPI-samples/AI-and-Analytics/Getting-Started Samples/IntelPyTorch_GettingStarted
+cd ~/oneAPI-samples/AI-and-Analytics/Getting-Started-Samples/IntelPyTorch_GettingStarted
 ```
 2. submit this "IntelPyTorch_GettingStarted" workload on the selected node with the run script.
 ```