Fix the memory type of output tensor when warm-up is enabled #202
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The issue was that the runtime inference would always return a CPU tensor when warm-up is enabled. This occurred because we recorded the output memory type using the first request. Since the warm-up is the first request to the model and always allocates CPU memory for the output, it incorrectly recorded the memory type for the output.
This PR fixes the logic so that the warm-up inference does not affect the actual memory type of the output tensor.
Testing: triton-inference-server/server#6033