upgrading pyarrow to fix the numpy 1.21.0 broken changes

Author: Nikhil Raverkar

docker/0.23-1/base/Dockerfile.cpu

@@ -7,7 +7,7 @@ ARG MINICONDA_VERSION=4.8.3
 ARG CONDA_PY_VERSION=37
 ARG CONDA_PKG_VERSION=4.9.0
 ARG PYTHON_VERSION=3.7.10
-ARG PYARROW_VERSION=0.16.0
+ARG PYARROW_VERSION=3.0.0
 ARG MLIO_VERSION=0.6.0
 
 # Install python and other scikit-learn runtime dependencies

test/integration/test_multiple_model_endpoint.py

@@ -55,19 +55,24 @@ def modulevolume():
 
 @pytest.fixture(scope='module', autouse=True)
 def container(request, docker_base_name, tag):
+    module_dir = os.path.join(resource_path, 'module')
+    model_dir = os.path.join(resource_path, 'models')
+
     test_name = 'sagemaker-sklearn-serving-test'
     try:
         command = (
             'docker run --name {} -p 8080:8080'
-            ' --mount type=volume,source=dynamic_endpoint_model_volume,target=/opt/ml/model,readonly'
-            ' --mount type=volume,source=dynamic_endpoint_module_volume,target=/user_module,readonly'
+            # ' --mount type=volume,source=dynamic_endpoint_model_volume,target=/opt/ml/model,readonly'
+            # ' --mount type=volume,source=dynamic_endpoint_module_volume,target=/user_module,readonly'
+            ' -v {}:/opt/ml/model'
+            ' -v {}:/user_module'
             ' -e SAGEMAKER_BIND_TO_PORT=8080'
             ' -e SAGEMAKER_SAFE_PORT_RANGE=9000-9999'
             ' -e SAGEMAKER_MULTI_MODEL=true'
             ' -e SAGEMAKER_PROGRAM={}'
             ' -e SAGEMAKER_SUBMIT_DIRECTORY={}'
             ' {}:{} serve'
-        ).format(test_name, 'script.py', "/user_module/user_code.tar.gz", docker_base_name, tag)
+        ).format(test_name, model_dir, module_dir, 'script.py', "/user_module/user_code.tar.gz", docker_base_name, tag)
 
         proc = subprocess.Popen(command.split(), stdout=sys.stdout, stderr=subprocess.STDOUT)