diff --git a/rastervision_sagemaker/rastervision/sagemaker/sagemaker_runner.py b/rastervision_sagemaker/rastervision/sagemaker/sagemaker_runner.py
index c9dd97b445..210b2983df 100644
--- a/rastervision_sagemaker/rastervision/sagemaker/sagemaker_runner.py
+++ b/rastervision_sagemaker/rastervision/sagemaker/sagemaker_runner.py
@@ -11,8 +11,6 @@
 from sagemaker.workflow.pipeline_context import PipelineSession
 from sagemaker.workflow.steps import ProcessingStep, TrainingStep
 
-import tempfile
-
 log = logging.getLogger(__name__)
 SAGEMAKER = 'sagemaker'
 
@@ -25,7 +23,6 @@ def make_step(
         instance_type: str,
         use_spot_instances: bool,
         sagemaker_session: PipelineSession,
-        tempdir: tempfile.TemporaryDirectory,
 ):
 
     python_executable = cmd[0]
@@ -105,67 +102,64 @@ def run(self,
 
         steps = []
 
-        with tempfile.TemporaryDirectory() as tempdir:
-            for command in commands:
-
-                use_gpu = command in pipeline.gpu_commands
-                job_name = command
-                cmd = [
-                    'python',
-                    '/opt/src/rastervision_pipeline/rastervision/pipeline/cli.py',  # XXX
-                ]
-                if rv_config.get_verbosity() > 1:
-                    cmd.append('-' + 'v' * (rv_config.get_verbosity() - 1))
-                cmd.extend(['run_command', cfg_json_uri, command])
-
-                if command in pipeline.split_commands and num_splits > 1:
-                    # If the step can be split, then split it into parts
-                    # that do not depend on each other (can run in
-                    # parallel).
-                    _steps = []
-                    for i in range(num_splits):
-                        cmd += [
-                            '--split-ind',
-                            str(i), '--num-splits',
-                            str(num_splits)
-                        ]
-                        step = make_step(
-                            f'{job_name}_{i+1}of{num_splits}',
-                            cmd,
-                            exec_role,
-                            gpu_image if use_gpu else cpu_image,
-                            gpu_inst_type if use_gpu else cpu_inst_type,
-                            use_spot_instances,
-                            sagemaker_session,
-                            tempdir,
-                        )
-                        # step.add_depends_on(steps)
-                        _steps.append(step)
-                    steps.extend(_steps)
-                else:
-                    # If the step can not be split, then submit it as-is.
+        for command in commands:
+
+            use_gpu = command in pipeline.gpu_commands
+            job_name = command
+            cmd = [
+                'python',
+                '/opt/src/rastervision_pipeline/rastervision/pipeline/cli.py',  # XXX
+            ]
+            if rv_config.get_verbosity() > 1:
+                cmd.append('-' + 'v' * (rv_config.get_verbosity() - 1))
+            cmd.extend(['run_command', cfg_json_uri, command])
+
+            if command in pipeline.split_commands and num_splits > 1:
+                # If the step can be split, then split it into parts
+                # that do not depend on each other (can run in
+                # parallel).
+                _steps = []
+                for i in range(num_splits):
+                    cmd += [
+                        '--split-ind',
+                        str(i), '--num-splits',
+                        str(num_splits)
+                    ]
                     step = make_step(
-                        job_name,
+                        f'{job_name}_{i+1}of{num_splits}',
                         cmd,
                         exec_role,
                         gpu_image if use_gpu else cpu_image,
-                        cpu_inst_type if use_gpu else cpu_inst_type,
+                        gpu_inst_type if use_gpu else cpu_inst_type,
                         use_spot_instances,
                         sagemaker_session,
-                        tempdir,
                     )
-                    step.add_depends_on(steps)
-                    steps.append(step)
-
-            # Submit the pipeline to SageMaker
-            iam_client = boto3.client('iam')
-            role_arn = iam_client.get_role(RoleName=exec_role)['Role']['Arn']
-            pipeline = Pipeline(
-                name=pipeline_run_name,
-                steps=steps,
-                sagemaker_session=sagemaker_session,
-            )
-            pipeline.upsert(role_arn=role_arn)
-            execution = pipeline.start()
+                    # step.add_depends_on(steps)
+                    _steps.append(step)
+                steps.extend(_steps)
+            else:
+                # If the step can not be split, then submit it as-is.
+                step = make_step(
+                    job_name,
+                    cmd,
+                    exec_role,
+                    gpu_image if use_gpu else cpu_image,
+                    cpu_inst_type if use_gpu else cpu_inst_type,
+                    use_spot_instances,
+                    sagemaker_session,
+                )
+                step.add_depends_on(steps)
+                steps.append(step)
+
+        # Submit the pipeline to SageMaker
+        iam_client = boto3.client('iam')
+        role_arn = iam_client.get_role(RoleName=exec_role)['Role']['Arn']
+        pipeline = Pipeline(
+            name=pipeline_run_name,
+            steps=steps,
+            sagemaker_session=sagemaker_session,
+        )
+        pipeline.upsert(role_arn=role_arn)
+        execution = pipeline.start()
 
         print(execution.describe())