Unpinning azureml-defaults to avoid installing itsdangerous coming indirectly from Flask (#981)

* Unpinning azureml-defaults to avoid installing itsdangerous coming indirectly from Flask

* Pinning to the latest azureml version and touching files to trigger the builds

* Removing the update from docker

cli/deploy-managed-online-endpoint-access-resource-sai.sh

@@ -1,5 +1,6 @@
 set -e
 
+
 # <set_variables>
 export WORKSPACE="<WORKSPACE_NAME>"
 export LOCATION="<WORKSPACE_LOCATION>"

cli/deploy-managed-online-endpoint-access-resource-uai.sh

@@ -1,5 +1,6 @@
 set -e
 
+
 # <set_variables>
 export WORKSPACE="<WORKSPACE_NAME>"
 export LOCATION="<WORKSPACE_LOCATION>"

cli/deploy-managed-online-endpoint-mlflow.sh

@@ -1,5 +1,6 @@
 set -e
 
+
 # <set_endpoint_name>
 export ENDPOINT_NAME="<YOUR_ENDPOINT_NAME>"
 # </set_endpoint_name>

cli/deploy-safe-rollout-online-endpoints.sh

@@ -1,5 +1,6 @@
 set -e
 
+
 # <set_endpoint_name>
 export ENDPOINT_NAME="<YOUR_ENDPOINT_NAME>"
 # </set_endpoint_name>

cli/endpoints/online/model-1/environment/conda.yml

@@ -8,6 +8,6 @@ dependencies:
   - scikit-learn=0.24.2
   - scipy=1.7.1
   - pip:
-    - azureml-defaults==1.33.0
+    - azureml-defaults==1.38.0
     - inference-schema[numpy-support]==1.3.0
     - joblib==1.0.1

cli/endpoints/online/model-2/environment/conda.yml

@@ -8,6 +8,6 @@ dependencies:
   - scikit-learn=0.24.2
   - scipy=1.7.1
   - pip:
-    - azureml-defaults==1.33.0
+    - azureml-defaults==1.38.0
     - inference-schema[numpy-support]==1.3.0
     - joblib==1.0.1

python-sdk/workflows/train/deepspeed/transformers/dockerfile

@@ -241,4 +241,4 @@ RUN cd DeepSpeed && \
   git pull && \
   git checkout master && \
   pip install -v . && \
-  ds_report
+  ds_report