About device size and streaming budget size in TensorRT 10.7

Hi, I upgrade TensorRT from 8.4 to 10.7 and find several new interfaces about size get/set, I have some questions about them.

Following are involved interfaces:

1. ICudaEngine::getDeviceMemorySizeV2
2. ICudaEngine::getStreamableWeightsSize
3. ICudaEngine::setWeightStreamingBudgetV2
4. ICudaEngine::getWeightStreamingScratchMemorySize
5. IExecutionContext::updateDeviceMemorySizeForShapes
6. IExecutionContext::setDeviceMemoryV2

I tried to understand them according to comments but not for sure. Suppose kUSER_MANAGED is used for context creation and open weight streaming.

From 2 can find total weight size and user can calculate the budget size according to it and set through 3. And What does result of 4 do ? just a info ?

And for 1

1. Does it should be called after 3?
2. I think the return of it is the upper limit of total size, so 6 only need to set once using this return and there is no need to call 5 any more. is it right ? Otherwise, 6 should be called to set new buffer according to 5 return value every time new shapes have been set.

The issue names six TensorRT interfaces but no source files, tests, or entry points. Start by reading the interface comments and the surrounding TensorRT 10.7 documentation for device-memory sizing, shape updates, and weight streaming; done means providing definitive lifecycle guidance for each listed call and clarifying the relationship between their returned sizes.