So I finished my code LSTM jazz improvisation in sequence models
test it
Everything is working fine as I am supposed to pass this and then the grader returns the following errors:
I am not sure why even though everything went fine according to the test and I do not see those errors in my code, if I see them I will fix them but they are not there. I restarted the kernal, I deleted my browser cached but still.
Please help
Code Cell UNQ_C1: Unexpected error (ValueError(‘Your Layer or Model is in an invalid state. This can happen if you are interleaving estimator/non-estimator models or interleaving models/layers made in tf.compat.v1.Graph.as_default() with models/layers created outside of it. Converting a model to an estimator (via model_to_estimator) invalidates all models/layers made before the conversion (even if they were not the model converted to an estimator). Similarly, making a layer or a model inside a a tf.compat.v1.Graph invalidates all layers/models you previously made outside of the graph.’)) occurred during function check. We expected function djmodel to return Test 1 failed. Please check that this function is defined properly.
Code Cell UNQ_C2: Unexpected error (ValueError(‘Your Layer or Model is in an invalid state. This can happen if you are interleaving estimator/non-estimator models or interleaving models/layers made in tf.compat.v1.Graph.as_default() with models/layers created outside of it. Converting a model to an estimator (via model_to_estimator) invalidates all models/layers made before the conversion (even if they were not the model converted to an estimator). Similarly, making a layer or a model inside a a tf.compat.v1.Graph invalidates all layers/models you previously made outside of the graph.’)) occurred during function check. We expected function music_inference_model to return Test 2 failed. Please check that this function is defined properly.
Code Cell UNQ_C3: Unexpected error (ValueError(‘Your Layer or Model is in an invalid state. This can happen if you are interleaving estimator/non-estimator models or interleaving models/layers made in tf.compat.v1.Graph.as_default() with models/layers created outside of it. Converting a model to an estimator (via model_to_estimator) invalidates all models/layers made before the conversion (even if they were not the model converted to an estimator). Similarly, making a layer or a model inside a a tf.compat.v1.Graph invalidates all layers/models you previously made outside of the graph.’)) occurred during function check. We expected function predict_and_sample to return Test 3 failed. Please check that this function is defined properly.
If you see many functions being marked as incorrect, try to trace back your steps & identify if there is an incorrect function that is being used in other steps.
This dependency may be the cause of the errors.