Remove ignored options from quant_options

Rename quant.yaml to quantizer.yaml.

tasks/face_segmentation/snpe/docker/quantizer/Dockerfile

@@ -82,7 +82,7 @@ RUN cd Olive && pip install -e .
 RUN pip list
 
 # This container starts running immediately so that the kubernetes cluster simply scales
-# automatically based on how busy this script is (see HorizontalPodAutoscaler in quant.yaml).
+# automatically based on how busy this script is (see HorizontalPodAutoscaler in quantizer.yaml).
 COPY run.sh /home/archai/run.sh
 RUN ls -al /home/archai
 RUN cat run.sh

tasks/face_segmentation/snpe/docker/quantizer/quantizer.yaml

@@ -15,7 +15,7 @@ spec:
     spec:
       containers:
       - name: snpe-quantizer
-        image: snpecontainerregistry001.azurecr.io/quantizer:1.22
+        image: snpecontainerregistry001.azurecr.io/quantizer:1.23
         resources:
           limits:
             cpu: 4

tasks/face_segmentation/snpe/docker/quantizer/readme.md

@@ -39,9 +39,9 @@ The `Setup.ps1` script shows what docker commands to run to build the image, how
 azure docker container registry, how to take your image for that container registry and push it
 to Azure.  So you do not need to use the public docker.org container registry.  You will decide
 what version number to attach to your image here and the same version needs to be specified in the
-following `quant.yaml`.
+following `quantizer.yaml`.
 
-## quant.yaml
+## quantizer.yaml
 
 Once the docker image is published you can configure your Azure Kubernetes cluster. First
 you need to connect your local docker to this cloud service.  The Azure Portal has a connect
@@ -52,7 +52,7 @@ az aks get-credentials --resource-group snpe-quantizaton-rg --name snpe-quantize
 ```
 Run that locally and then you can push docker images to this registry.
 
-Then you can use `kubectl apply -f quant.yaml` to configure the AKS custer.  Note that the version
+Then you can use `kubectl apply -f quantizer.yaml` to configure the AKS custer.  Note that the version
 of the image to use is specified in this file so you may need to edit the file and change the
 version `1.13` to whatever you just tagged and pushed to the azure container registry.
 

tasks/face_segmentation/snpe/docker/quantizer/setup.ps1

@@ -2,13 +2,15 @@
 # also assumes you have run "az aks install-cli"
 
 $resource_group = "snpe-quantizaton-rg"
-$registry_name = "snpecontainerregistry001"
 $storage_account_name = "nasfacemodels"
 $plan_location = "westus2"
 $aks_cluster = "snpe-quantizer-aks"
 $aks_node_vm = "Standard_D16s_v3"
 $aks_namespace = "snpe"
 
+# This registry name is also  referenced in quantizer.yaml
+$registry_name = "snpecontainerregistry001"
+
 function Check-Provisioning($result) {
     $rc = Join-String -Separator "`n" -InputObject $rc
     $x = ConvertFrom-Json $rc
@@ -202,8 +204,8 @@ Write-Host "  docker tag ... $registry_name.azurecr.io/quantizer:1.1"
 Write-Host "  docker push $registry_name.azurecr.io/quantizer:1.1"
 Write-Host "  az acr repository delete --name $registry_name --image <previous_version> -u $registry_name -p <get password>"
 Write-Host ""
-Write-Host "### Make sure the mtaching image version is mentioned in quant.yaml..."
-Write-Host "  kubectl apply -f quant.yaml"
+Write-Host "### Make sure the mtaching image version is mentioned in quantizer.yaml..."
+Write-Host "  kubectl apply -f quantizer.yaml"
 
 Write-Host ""
 Write-Host "### To run the runner script locally please set the following environment variable: "

tasks/face_segmentation/snpe/snpe/test_snpe.py

@@ -223,15 +223,13 @@ def quantize_model(model, onnx_model, snpe_model_dir):
     if config is None:
         return [None, "### SNPE Configuration file could not be loaded"]
 
-    # snpe_quantizer_config = SNPEQuantizationConfig(output_model, data_loader, **config["quantize_options"])
-    # assert snpe_quantizer_config.validate()
-
     snpe_model = SNPEModel(model_path=full_dlc_path, name=basename, **config["io_config"])
 
-    quant_options = config['io_config']
-    quant_options["use_enhanced_quantizer"] = True
-    quant_options["data_dir"] = data_dir
-    quant_options["dataloader_func"] = create_quant_dataloader
+    quant_options = {
+        "use_enhanced_quantizer": True,
+        "data_dir": data_dir,
+        "dataloader_func": create_quant_dataloader
+    }
 
     # tbd: what is "enable_htp": True
     snpe_quantization = SNPEQuantization(quant_options, disable_search=True)