Deployment Error (Reason) : Please make sure all images included in the model for the production variant AllTraffic exist

Question

I am Able to train my modelusing Sagemaker TensorFlow container.

Below is the code

model_dir = '/opt/ml/model'
train_instance_type = 'ml.c4.xlarge'
hyperparameters = {'epochs': 10, 'batch_size': 256, 'learning_rate': 0.001}

script_mode_estimator = TensorFlow(
    entry_point='model.py',
    train_instance_type=train_instance_type,
    train_instance_count=1,
    model_dir=model_dir,
    hyperparameters=hyperparameters,
    role=sagemaker.get_execution_role(),
    base_job_name='tf-fashion-mnist',
    framework_version='1.12.0',
    py_version='py3',
    output_path='s3://my_bucket/testing',
    script_mode=True
)

Model Fitting

script_mode_estimator.fit(inputs)

But when i am trying to deploy model, am getting this below error

Deploy code is

script_mode_d=script_mode_estimator.deploy(initial_instance_count=1,
                 instance_type="ml.m4.xlarge")

Error Message is

UnexpectedStatusException: Error hosting endpoint tf-fashion-mnist-2020-09-29-11-13-47-493: Failed. Reason: Please make sure all images included in the model for the production variant AllTraffic exist, and that the execution role used to create the model has permissions to access them..

Please help me to resolve this issue.