Merge pull request #11 from aws/edits

MXNet tutorial edits; release note cleanup
aws-neuron · Dec 3, 2019 · a95565d · a95565d
2 parents 914883a + 39e589f
commit a95565d
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diff --git a/docs/mxnet-neuron/tutorial-compile-infer.md b/docs/mxnet-neuron/tutorial-compile-infer.md
@@ -5,9 +5,10 @@ Neuron supports both Python module and Symbol APIs and the C predict API. The fo
 ## Steps Overview:
 
 1. Launch an EC2 instance for compilation and/or inference
-2. Install Neuron for compilation and runtime execution
+2. Install MXNet-Neuron and Neuron Compiler On Compilation Instance
 3. Compile on compilation server
-4. Execute inference on Inf1
+4. Install MXNet-Neuron and Neuron Runtime on Inference Instance
+5. Execute inference on Inf1
 
 ## Step 1: Launch EC2 Instances
 
@@ -22,9 +23,9 @@ A typical workflow with the Neuron SDK will be to compile trained ML models on a
 
 1.3. Select and launch an Inf1 instance of your choice to run the compiled model. Launch an instance by following [EC2 instructions](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EC2_GetStarted.html#ec2-launch-instance).
 
-## Step 2: Install Neuron Compiler and MXNet-Neuron On Compilation Instance
+## Step 2: Install MXNet-Neuron and Neuron Compiler On Compilation Instance
 
-If using DLAMI, activate aws_neuron_mxnet_p36 environment and skip this step.
+If using DLAMI, activate pre-installed MXNet-Neuron environment (using `source activate aws_neuron_mxnet_p36`) and skip this step.
 
 On the instance you are going to use for compilation, install both Neuron Compiler and  MXNet-Neuron.
 
@@ -90,9 +91,9 @@ scp -i <PEM key file>  resnet-50_compiled-0000.params ubuntu@<instance DNS>:~/
 scp -i <PEM key file>  resnet-50_compiled-symbol.json ubuntu@<instance DNS>:~/  # Ubuntu
 ```
 
-## Step 4: Install MXNet-Neuron and Neuron-Runtime on Inference Instance
+## Step 4: Install MXNet-Neuron and Neuron Runtime on Inference Instance
 
-If using DLAMI, activate aws_neuron_mxnet_p36 environment and skip this step.
+If using DLAMI, activate pre-installed MXNet-Neuron environment (using `source activate aws_neuron_mxnet_p36`) and skip this step.
 
 On the instance you are going to use for inference, install TensorFlow-Neuron and Neuron Runtime.
 

diff --git a/release-notes/conda-tensorflow-neuron.md b/release-notes/conda-tensorflow-neuron.md
@@ -41,7 +41,7 @@ Please update to the latest conda package release.
 source activate <conda environment>
 conda update tensorflow-neuron
 ```
-In TensorFlow-Neuron conda environment (aws_neuron_tensorflow_p36) of DLAMI v26.0, an incorrect numpy version prevents update to latest conda package version. Please do "conda install numpy=1.17.2 --yes --quiet" before "conda update tensorflow-neuron". (See [DLAMI Release Notes](./dlami-release-notes.md)).
+In TensorFlow-Neuron conda environment (aws_neuron_tensorflow_p36) of DLAMI v26.0, the installed numpy version prevents update to latest conda package version. Please do "conda install numpy=1.17.2 --yes --quiet" before "conda update tensorflow-neuron". (See [DLAMI Release Notes](./dlami-release-notes.md)).
 
 ```bash
 source activate aws_neuron_tensorflow_p36

diff --git a/release-notes/dlami-release-notes.md b/release-notes/dlami-release-notes.md
@@ -55,7 +55,7 @@ conda install numpy=1.17.2 --yes --quiet
 conda update tensorflow-neuron
 ```
 
-* In TensorFlow-Neuron conda environment (aws_neuron_tensorflow_p36), an incorrect numpy version prevents update to latest conda package version. Please do "conda install numpy=1.17.2 --yes --quiet" before "conda update tensorflow-neuron".
+* In TensorFlow-Neuron conda environment (aws_neuron_tensorflow_p36), the installed numpy version prevents update to latest conda package version. Please do "conda install numpy=1.17.2 --yes --quiet" before "conda update tensorflow-neuron".
 
 * When using the Conda DLAMI, use the above conda commands to update packages, not pip.