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May 6, 2019
Merged

Update readme/cluster location from PM's instructions #360

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Update readme from PM's instructions
May 6, 2019
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Update python kernel version
May 6, 2019
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19 changes: 16 additions & 3 deletions how-to-use-azureml/deployment/accelerated-models/README.md
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Expand Up @@ -13,8 +13,21 @@ To learn more about the azureml-accel-model classes, see the section [Model Clas

### Step 1: Create an Azure ML workspace
Follow [these instructions](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python) to install the Azure ML SDK on your local machine, create an Azure ML workspace, and set up your notebook environment, which is required for the next step.

### Step 2: Install the Azure ML Accelerated Models SDK

### Step 2: Check your FPGA quota
Use the Azure CLI to check whether you have quota.

```shell
az vm list-usage --location "eastus" -o table
```

The other locations are ``southeastasia``, ``westeurope``, and ``westus2``.

Under the "Name" column, look for "Standard PBS Family vCPUs" and ensure you have at least 6 vCPUs under "CurrentValue."

If you do not have quota, then submit a request form [here](https://aka.ms/accelerateAI).

### Step 3: Install the Azure ML Accelerated Models SDK
Once you have set up your environment, install the Azure ML Accel Models SDK. This package requires tensorflow >= 1.6,<2.0 to be installed.

If you already have tensorflow >= 1.6,<2.0 installed in your development environment, you can install the SDK package using:
Expand All @@ -35,7 +48,7 @@ If your machine supports GPU (for example, on an [Azure DSVM](https://docs.micro
pip install azureml-accel-models[gpu]
```

### Step 3: Follow our notebooks
### Step 4: Follow our notebooks

The notebooks in this repo walk through the following scenarios:
* [Quickstart](accelerated-models-quickstart.ipynb), deploy and inference a ResNet50 model trained on ImageNet
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8 changes: 5 additions & 3 deletions how-to-use-azureml/deployment/accelerated-models/accelerated-models-object-detection.ipynb
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Expand Up @@ -273,11 +273,12 @@
"from azureml.core.compute import AksCompute, ComputeTarget\n",
"\n",
"# Uses the specific FPGA enabled VM (sku: Standard_PB6s)\n",
"# Authentication is enabled by default, but for testing we specify False\n",
"# Standard_PB6s are available in: eastus, westus2, westeurope, southeastasia\n",
"prov_config = AksCompute.provisioning_configuration(vm_size = \"Standard_PB6s\",\n",
" agent_count = 1)\n",
" agent_count = 1, \n",
" location = \"eastus\")\n",
"\n",
"aks_name = 'my-aks-pb6-ssd-vgg'\n",
"aks_name = 'aks-pb6-obj'\n",
"# Create the cluster\n",
"aks_target = ComputeTarget.create(workspace = ws, \n",
" name = aks_name, \n",
Expand Down Expand Up @@ -318,6 +319,7 @@
"from azureml.core.webservice import Webservice, AksWebservice\n",
"\n",
"# Set the web service configuration (for creating a test service, we don't want autoscale enabled)\n",
"# Authentication is enabled by default, but for testing we specify False\n",
"aks_config = AksWebservice.deploy_configuration(autoscale_enabled=False,\n",
" num_replicas=1,\n",
" auth_enabled = False)\n",
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6 changes: 4 additions & 2 deletions how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb
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Expand Up @@ -341,9 +341,10 @@
"from azureml.core.compute import AksCompute, ComputeTarget\n",
"\n",
"# Uses the specific FPGA enabled VM (sku: Standard_PB6s)\n",
"# Authentication is enabled by default, but for testing we specify False\n",
"# Standard_PB6s are available in: eastus, westus2, westeurope, southeastasia\n",
"prov_config = AksCompute.provisioning_configuration(vm_size = \"Standard_PB6s\",\n",
" agent_count = 1)\n",
" agent_count = 1, \n",
" location = \"eastus\")\n",
"\n",
"aks_name = 'my-aks-pb6'\n",
"# Create the cluster\n",
Expand Down Expand Up @@ -386,6 +387,7 @@
"from azureml.core.webservice import Webservice, AksWebservice\n",
"\n",
"#Set the web service configuration (for creating a test service, we don't want autoscale enabled)\n",
"# Authentication is enabled by default, but for testing we specify False\n",
"aks_config = AksWebservice.deploy_configuration(autoscale_enabled=False,\n",
" num_replicas=1,\n",
" auth_enabled = False)\n",
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10 changes: 6 additions & 4 deletions how-to-use-azureml/deployment/accelerated-models/accelerated-models-training.ipynb
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Expand Up @@ -47,7 +47,7 @@
" * [Transfer Learning](#transfer-learning)\n",
" * [Transfer Learning with Custom Weights](#custom-weights)\n",
"* [Create Image](#create-image)\n",
"* [Deploy Model](#deploy-model)\n",
"* [Deploy Image](#deploy-image)\n",
"* [Test the service](#test-service)\n",
"* [Clean-up](#cleanup)\n",
"* [Appendix](#appendix)"
Expand Down Expand Up @@ -630,11 +630,12 @@
"from azureml.core.compute import AksCompute, ComputeTarget\n",
"\n",
"# Uses the specific FPGA enabled VM (sku: Standard_PB6s)\n",
"# Authentication is enabled by default, but for testing we specify False\n",
"# Standard_PB6s are available in: eastus, westus2, westeurope, southeastasia\n",
"prov_config = AksCompute.provisioning_configuration(vm_size = \"Standard_PB6s\",\n",
" agent_count = 1)\n",
" agent_count = 1,\n",
" location = \"eastus\")\n",
"\n",
"aks_name = 'my-aks-pb6-training'\n",
"aks_name = 'aks-pb6-tl'\n",
"# Create the cluster\n",
"aks_target = ComputeTarget.create(workspace = ws, \n",
" name = aks_name, \n",
Expand Down Expand Up @@ -675,6 +676,7 @@
"from azureml.core.webservice import Webservice, AksWebservice\n",
"\n",
"# Set the web service configuration (for creating a test service, we don't want autoscale enabled)\n",
"# Authentication is enabled by default, but for testing we specify False\n",
"aks_config = AksWebservice.deploy_configuration(autoscale_enabled=False,\n",
" num_replicas=1,\n",
" auth_enabled = False)\n",
Expand Down