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    Manage memory

    As a Sentis user you are responsible for calling Dispose on any worker, inputs and sometimes outputs. You must call Dispose on outputs if you obtain them via worker.FinishExecutionAndDownloadOutput or if you take ownership of them by calling tensor.TakeOwnership.

    Note: Calling Dispose is necessary to properly free up GPU resources.

    For example:

    public void OnDestroy()
    {
        worker?.Dispose();
    
        // Assuming model with multiple inputs that were passed as a Dictionary
        foreach (var key in inputs.Keys)
        {
            inputs[key].Dispose();
        }
        
        inputs.Clear();
    }
    

    You don't need to call Dispose for the following:

    • Tensors that you receive via the worker.PeekOutput call. Refer to Get output from a model.
    • CPUOps, GPUPixelOps, GPUComputeOps and GPUCommandBufferOps objects you create with no allocator.

    Additional resources

    • Profile a model
    • Create an engine to run a model
    • Create and modify tensors
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