test upload files to s3 bucket (#4353)

* test upload files to s3 bucket

* print out file path

* Re-enable TF 2.16 graviton images (#4354)

* reformat and change bucket name

* trigger tests

* rerun

* update tf model path with test/

* change directory of BATCH_CSV

* enable all sm tests

* restore s3 bucket name and toml file

* remove directory print

---------

Co-authored-by: Yadan Wei <[email protected]>
Co-authored-by: arjkesh <[email protected]>

Author: 3 people

test/sagemaker_tests/tensorflow/inference/test/data/python-with-requirements_greater_than_equal_to_26.tar.gz

@@ -18,9 +18,9 @@
 from ...... import invoke_sm_endpoint_helper_function
 
 
-MODEL_WITH_REQUIREMENTS_PATH = "data/tfs-model_greater_than_equal_to_tf26.tar.gz"
-MODEL_WITH_LIB_PATH = "data/python-with-lib.tar.gz"
-TFS_MODEL_PATH = "data/tfs-model.tar.gz"
+MODEL_WITH_REQUIREMENTS_PATH = "test/data/tfs-model_greater_than_equal_to_tf26.tar.gz"
+MODEL_WITH_LIB_PATH = "test/data/python-with-lib.tar.gz"
+TFS_MODEL_PATH = "test/data/tfs-model.tar.gz"
 TFS_NEURONX_MODEL_PATH = "data/tfs-neuronx-model.tar.gz"
 TFS_NEURON_MODEL_PATH = "data/tfs-neuron-model.tar.gz"
 MME1_MODEL_PATHS = [

test/sagemaker_tests/tensorflow/inference/test/data/tfs-model_greater_than_equal_to_tf26.tar.gz

@@ -20,10 +20,12 @@
 import time
 import sys
 
+from test.test_utils import LOGGER
+
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.DEBUG)
 logger.addHandler(logging.StreamHandler(sys.stdout))
-BATCH_CSV = os.path.join("data", "batch.csv")
+BATCH_CSV = os.path.join("test", "data", "batch.csv")
 
 
 def _botocore_resolver():
@@ -174,7 +176,6 @@ def find_or_put_mme_model_data(region, boto_session, mme_folder_name, path_list)
         except botocore.exceptions.ClientError as e:
             if e.response["Error"]["Code"] != "404":
                 raise
-
             # file doesn't exist - upload it
             s3.upload_file(local_path, bucket, key)