I see that you are trying to use the “Stateful Predict” Simulink block to make predictions with a trained “dlnetwork” (LSTM). The Format field in the Input data formats section must be filled with a string based on the type of input given to the block.
The string must be a combination of characters representing type of each input dimension as shown:
“S” – Spatial
“C” – Channel
“B” – Batch
“T” – Time
“U” – Unspecified
For example, consider an array containing a batch of sequences where the first, second, and third dimensions correspond to channels, observations, and time steps, respectively. You can specify that this array has the format "CBT" (channel, batch, time).
Given that the input size is Nx3 array, I assume the first dimension consists of Time Steps and 3 is the number of channels present. Hence the input data format must be “TC”.
To get a better understanding on how various input data formats work you can refer to the following documentation links:
- https://www.mathworks.com/help/deeplearning/ug/deep-learning-data-formats.html
- https://www.mathworks.com/help/R2023b/deeplearning/ref/statefulpredict.html
I hope this helps.
