microsoft / microsoft/onnxruntime

iobinding support part of inputs

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core runtime feature request
Dominant language
C++
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Description

### Describe the feature request

My model has 2 inputs, the first input is received from client, and the second input can be loaded from local and it's input size is very big.
In case of copy the big input from cpu mem to gpu mem, i have to move the big input to device mem before run inference.
I want to know if i create iobinding each time in inference, does the big input need to copy to gpu mem every time ?

### Describe scenario use case

some model inputs are big and can be loaded by local, other inputs is small and received from client, how to avoid the big input copy from cpu to gpu in every inference ?

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Research direction

The issue concerns I/O binding for a model with one client input and one large local input, and asks whether creating bindings per inference recopies the large input to GPU memory. The payload names no files or tests, so start by locating the I/O binding inference entry point and related coverage; done means establishing a supported way to handle the large input across repeated runs.

Written by the indexing model from the issue text.

Assessment

Domain
backend-api-design, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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