framework_local = myEstimator(
    image_name=container_image_uri,
    role=role,
    entry_point='code/train.py',
    output_path= '/'.join(input_data.split('/')[:-1])+'/output',
    train_instance_count=1, 
    train_instance_type='local',
    hyperparameters=hyperparameters)

framework_local.fit({'train':'file://data.parquet'}, logs=True) # <---- fails when using files.download_and_extract(uri=uri, path=environment.code_dir)  with botocore.exceptions.ClientError: An error occurred (403) when calling the HeadObject operation: Forbidden

from sagemaker.estimator import Framework

class ToyotaEstimator(Framework):
    def __init__(
        self,
        entry_point,
        source_dir=None,
..
..
..

Creating tmpptzb0bfs_algo-1-g4d94_1 ... 
Attaching to tmpptzb0bfs_algo-1-g4d94_12mdone
algo-1-g4d94_1  | 2020-08-25 20:00:05,420 sagemaker-training-toolkit ERROR    Reporting training FAILURE
algo-1-g4d94_1  | 2020-08-25 20:00:05,420 sagemaker-training-toolkit ERROR    framework error: 
algo-1-g4d94_1  | Traceback (most recent call last):
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/sagemaker_training/trainer.py", line 92, in train
algo-1-g4d94_1  |     entry_point.run(
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/sagemaker_training/entry_point.py", line 92, in run
algo-1-g4d94_1  |     files.download_and_extract(uri=uri, path=environment.code_dir)
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/sagemaker_training/files.py", line 131, in download_and_extract
algo-1-g4d94_1  |     s3_download(uri, dst)
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/sagemaker_training/files.py", line 167, in s3_download
algo-1-g4d94_1  |     s3.Bucket(bucket).download_file(key, dst)
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/boto3/s3/inject.py", line 244, in bucket_download_file
algo-1-g4d94_1  |     return self.meta.client.download_file(
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/boto3/s3/inject.py", line 170, in download_file
algo-1-g4d94_1  |     return transfer.download_file(
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/boto3/s3/transfer.py", line 307, in download_file
algo-1-g4d94_1  |     future.result()
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/s3transfer/futures.py", line 106, in result
algo-1-g4d94_1  |     return self._coordinator.result()
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/s3transfer/futures.py", line 265, in result
algo-1-g4d94_1  |     raise self._exception
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/s3transfer/tasks.py", line 255, in _main
algo-1-g4d94_1  |     self._submit(transfer_future=transfer_future, **kwargs)
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/s3transfer/download.py", line 340, in _submit
algo-1-g4d94_1  |     response = client.head_object(
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/botocore/client.py", line 316, in _api_call
algo-1-g4d94_1  |     return self._make_api_call(operation_name, kwargs)
algo-1-g4d94_1  |   File "/miniconda3/lib/python3.8/site-packages/botocore/client.py", line 635, in _make_api_call
algo-1-g4d94_1  |     raise error_class(parsed_response, operation_name)
algo-1-g4d94_1  | botocore.exceptions.ClientError: An error occurred (403) when calling the HeadObject operation: Forbidden
algo-1-g4d94_1  | 
algo-1-g4d94_1  | An error occurred (403) when calling the HeadObject operation: Forbidden
tmpptzb0bfs_algo-1-g4d94_1 exited with code 1
Aborting on container exit...
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/image.py in train(self, input_data_config, output_data_config, hyperparameters, job_name)
    160         try:
--> 161             _stream_output(process)
    162         except RuntimeError as e:

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/image.py in _stream_output(process)
    676     if exit_code != 0:
--> 677         raise RuntimeError("Process exited with code: %s" % exit_code)
    678 

RuntimeError: Process exited with code: 1

During handling of the above exception, another exception occurred:

RuntimeError                              Traceback (most recent call last)
<ipython-input-22-059e808d1544> in <module>()
     10 train_config = sagemaker.session.s3_input(input_data, content_type='application/x-parquet')
     11 
---> 12 local_framework.fit({'train':train_config}, logs=True)

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
    491         self._prepare_for_training(job_name=job_name)
    492 
--> 493         self.latest_training_job = _TrainingJob.start_new(self, inputs, experiment_config)
    494         self.jobs.append(self.latest_training_job)
    495         if wait:

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in start_new(cls, estimator, inputs, experiment_config)
   1058             train_args["enable_sagemaker_metrics"] = estimator.enable_sagemaker_metrics
   1059 
-> 1060         estimator.sagemaker_session.train(**train_args)
   1061 
   1062         return cls(estimator.sagemaker_session, estimator._current_job_name)

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py in train(self, input_mode, input_config, role, job_name, output_config, resource_config, vpc_config, hyperparameters, stop_condition, tags, metric_definitions, enable_network_isolation, image, algorithm_arn, encrypt_inter_container_traffic, train_use_spot_instances, checkpoint_s3_uri, checkpoint_local_path, experiment_config, debugger_rule_configs, debugger_hook_config, tensorboard_output_config, enable_sagemaker_metrics)
    588         LOGGER.info("Creating training-job with name: %s", job_name)
    589         LOGGER.debug("train request: %s", json.dumps(train_request, indent=4))
--> 590         self.sagemaker_client.create_training_job(**train_request)
    591 
    592     def process(

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/local_session.py in create_training_job(self, TrainingJobName, AlgorithmSpecification, OutputDataConfig, ResourceConfig, InputDataConfig, **kwargs)
    100         hyperparameters = kwargs["HyperParameters"] if "HyperParameters" in kwargs else {}
    101         logger.info("Starting training job")
--> 102         training_job.start(InputDataConfig, OutputDataConfig, hyperparameters, TrainingJobName)
    103 
    104         LocalSagemakerClient._training_jobs[TrainingJobName] = training_job

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/entities.py in start(self, input_data_config, output_data_config, hyperparameters, job_name)
     94 
     95         self.model_artifacts = self.container.train(
---> 96             input_data_config, output_data_config, hyperparameters, job_name
     97         )
     98         self.end_time = datetime.datetime.now()

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/image.py in train(self, input_data_config, output_data_config, hyperparameters, job_name)
    164             # which contains the exit code and append the command line to it.
    165             msg = "Failed to run: %s, %s" % (compose_command, str(e))
--> 166             raise RuntimeError(msg)
    167         finally:
    168             artifacts = self.retrieve_artifacts(compose_data, output_data_config, job_name)

RuntimeError: Failed to run: ['docker-compose', '-f', '/tmp/tmpptzb0bfs/docker-compose.yaml', 'up', '--build', '--abort-on-container-exit'], Process exited with code: 1