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Switch to automlsamplenotebookdata storage account for batch samples #3713

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e986881
Refactor deploy-and-run script for MNIST classifier
Iyer-Narayan Nov 27, 2025
c6a4760
Refactor deploy-and-run script for MNIST classifier
Iyer-Narayan Nov 27, 2025
cea1e11
Use variable for ImageNet sample URI in script
Iyer-Narayan Nov 27, 2025
734f97d
Update SAMPLE_INPUT_URI for mnist-classifier
Iyer-Narayan Nov 27, 2025
7f649a8
Change IMAGENET_SAMPLE_URI to new blob storage URL
Iyer-Narayan Nov 27, 2025
6523b9e
Update ImageNet sample URI variable in script
Iyer-Narayan Nov 27, 2025
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6 changes: 4 additions & 2 deletions cli/endpoints/batch/deploy-models/imagenet-classifier/deploy-and-run.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@ set -e

# <set_variables>
export ENDPOINT_NAME="<YOUR_ENDPOINT_NAME>"
# imagenet sample base URI
IMAGENET_SAMPLE_URI_BASE="https://automlsamplenotebookdata.blob.core.windows.net/batch/data/imagenet"
# </set_variables>

# <name_endpoint>
Expand All @@ -14,7 +16,7 @@ ENDPOINT_NAME="$ENDPOINT_NAME-$ENDPOINT_SUFIX"

echo "Download model from Azure Storage"
# <download_model>
wget https://azuremlexampledata.blob.core.windows.net/data/imagenet/model.zip
wget "${IMAGENET_SAMPLE_URI_BASE}/model.zip"
unzip model.zip -d .
# </download_model>

Expand Down Expand Up @@ -51,7 +53,7 @@ az ml batch-deployment show --name $DEPLOYMENT_NAME --endpoint-name $ENDPOINT_NA
# </query_deployment>

# <download_sample_data>
wget https://azuremlexampledata.blob.core.windows.net/data/imagenet/imagenet-1000.zip
wget "${IMAGENET_SAMPLE_URI_BASE}/imagenet-1000.zip"
unzip imagenet-1000.zip -d data
# </download_sample_data>

Expand Down
10 changes: 6 additions & 4 deletions cli/endpoints/batch/deploy-models/mnist-classifier/deploy-and-run.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@ set -e

# <set_variables>
export ENDPOINT_NAME="<YOUR_ENDPOINT_NAME>"
# sample input URI variable
SAMPLE_INPUT_URI="https://automlsamplenotebookdata.blob.core.windows.net/batch/data/mnist/sample"
# </set_variables>

# <name_endpoint>
Expand Down Expand Up @@ -46,7 +48,7 @@ az ml batch-deployment show --name $DEPLOYMENT_NAME --endpoint-name $ENDPOINT_NA

echo "Invoking batch endpoint with public URI (MNIST)"
# <start_batch_scoring_job>
JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --input https://azuremlexampledata.blob.core.windows.net/data/mnist/sample --input-type uri_folder --query name -o tsv)
JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --input $SAMPLE_INPUT_URI --input-type uri_folder --query name -o tsv)
# </start_batch_scoring_job>

echo "Showing job detail"
Expand Down Expand Up @@ -80,7 +82,7 @@ echo "Invoke batch endpoint with specific output file name"
OUTPUT_FILE_NAME=predictions_`echo $RANDOM`.csv
OUTPUT_PATH="azureml://datastores/workspaceblobstore/paths/$ENDPOINT_NAME"

JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --input https://azuremlexampledata.blob.core.windows.net/data/mnist/sample --output-path $OUTPUT_PATH --set output_file_name=$OUTPUT_FILE_NAME --query name -o tsv)
JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --input $SAMPLE_INPUT_URI --output-path $OUTPUT_PATH --set output_file_name=$OUTPUT_FILE_NAME --query name -o tsv)
# </start_batch_scoring_job_set_output>

echo "Invoke batch endpoint with specific overwrites"
Expand Down Expand Up @@ -133,7 +135,7 @@ az ml batch-deployment create --file deployment-keras/deployment.yml --endpoint-
echo "Invoke batch endpoint with public data"
# <test_deployment_non_default>
DEPLOYMENT_NAME="mnist-keras-dpl"
JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --deployment-name $DEPLOYMENT_NAME --input https://azuremlexampledata.blob.core.windows.net/data/mnist/sample --input-type uri_folder --query name -o tsv)
JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --deployment-name $DEPLOYMENT_NAME --input $SAMPLE_INPUT_URI --input-type uri_folder --query name -o tsv)
# </test_deployment_non_default>

echo "Show job detail"
Expand Down Expand Up @@ -174,7 +176,7 @@ az ml batch-endpoint show --name $ENDPOINT_NAME --query "{Name:name, Defaults:de

echo "Invoke batch endpoint with the new default deployment with public URI"
# <test_default_deployment>
JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --input https://azuremlexampledata.blob.core.windows.net/data/mnist/sample --input-type uri_folder --query name -o tsv)
JOB_NAME=$(az ml batch-endpoint invoke --name $ENDPOINT_NAME --input $SAMPLE_INPUT_URI --input-type uri_folder --query name -o tsv)
# </test_default_deployment>

echo "Stream job logs to console"
Expand Down
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