Fixing conda references.

Author: AlannaBurke

beginner_source/introyt/tensorboardyt_tutorial.py

@@ -24,6 +24,13 @@
 To run this tutorial, you’ll need to install PyTorch, TorchVision,
 Matplotlib, and TensorBoard.
 
+With ``conda``:
+
+.. code-block:: sh
+
+    conda install pytorch torchvision -c pytorch
+    conda install matplotlib tensorboard
+
 With ``pip``:
 
 .. code-block:: sh

recipes_source/intel_neural_compressor_for_pytorch.rst

@@ -50,6 +50,9 @@ Installation
     # install nightly version from pip
     pip install -i https://test.pypi.org/simple/ neural-compressor
 
+    # install stable version from from conda
+    conda install neural-compressor -c conda-forge -c intel
+
 *Supported python versions are 3.6 or 3.7 or 3.8 or 3.9*
 
 Usages

recipes_source/xeon_run_cpu.rst

@@ -99,6 +99,11 @@ The Intel® OpenMP Runtime Library can be installed using one of these commands:
 
    $ pip install intel-openmp
 
+   or
+
+.. code-block:: console
+   $ conda install mkl
+
 
 Choosing an Optimized Memory Allocator
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -117,6 +122,12 @@ On CentOS, you can install it by running:
 
    $ yum install gperftools
 
+In a conda environment, it can also be installed by running:
+
+.. code-block:: console
+
+   $ conda install conda-forge::gperftools
+
 On Ubuntu ``JeMalloc`` can be installed by this command:
 
 .. code-block:: console
@@ -129,6 +140,12 @@ On CentOS it can be installed by running:
 
    $ yum install jemalloc
 
+In a conda environment, it can also be installed by running:
+
+.. code-block:: console
+
+   $ conda install conda-forge::jemalloc
+
 Quick Start Example Commands
 ----------------------------