@@ -301,6 +301,53 @@ def test_transform_byo_estimator(sagemaker_session):
301301 assert tags == model_tags
302302
303303
304+ def test_single_transformer_multiple_jobs (sagemaker_session , mxnet_full_version ):
305+ data_path = os .path .join (DATA_DIR , "mxnet_mnist" )
306+ script_path = os .path .join (data_path , "mnist.py" )
307+
308+ mx = MXNet (
309+ entry_point = script_path ,
310+ role = "SageMakerRole" ,
311+ train_instance_count = 1 ,
312+ train_instance_type = "ml.c4.xlarge" ,
313+ sagemaker_session = sagemaker_session ,
314+ framework_version = mxnet_full_version ,
315+ )
316+
317+ train_input = mx .sagemaker_session .upload_data (
318+ path = os .path .join (data_path , "train" ), key_prefix = "integ-test-data/mxnet_mnist/train"
319+ )
320+ test_input = mx .sagemaker_session .upload_data (
321+ path = os .path .join (data_path , "test" ), key_prefix = "integ-test-data/mxnet_mnist/test"
322+ )
323+ job_name = unique_name_from_base ("test-mxnet-transform" )
324+
325+ with timeout (minutes = TRAINING_DEFAULT_TIMEOUT_MINUTES ):
326+ mx .fit ({"train" : train_input , "test" : test_input }, job_name = job_name )
327+
328+ transform_input_path = os .path .join (data_path , "transform" , "data.csv" )
329+ transform_input_key_prefix = "integ-test-data/mxnet_mnist/transform"
330+ transform_input = mx .sagemaker_session .upload_data (
331+ path = transform_input_path , key_prefix = transform_input_key_prefix
332+ )
333+
334+ transformer = mx .transformer (1 , "ml.m4.xlarge" )
335+
336+ job_name = unique_name_from_base ("test-mxnet-transform" )
337+ transformer .transform (transform_input , content_type = "text/csv" , job_name = job_name )
338+ with timeout_and_delete_model_with_transformer (
339+ transformer , sagemaker_session , minutes = TRANSFORM_DEFAULT_TIMEOUT_MINUTES
340+ ):
341+ assert transformer .output_path == "s3://{}/{}" .format (
342+ sagemaker_session .default_bucket (), job_name
343+ )
344+ job_name = unique_name_from_base ("test-mxnet-transform" )
345+ transformer .transform (transform_input , content_type = "text/csv" , job_name = job_name )
346+ assert transformer .output_path == "s3://{}/{}" .format (
347+ sagemaker_session .default_bucket (), job_name
348+ )
349+
350+
304351def _create_transformer_and_transform_job (
305352 estimator ,
306353 transform_input ,
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