fix abort #992
fix abort #992
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Summary of Changes
Hello @shihaobai, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request addresses a potential bug in the request queueing mechanism where aborted requests and the waiting request list might not be properly managed under certain conditions. The changes ensure that cleanup and state updates related to request abortion and queue progression are always performed, leading to more robust and predictable behavior of the request router.
Highlights
- Robust Abort Handling: Ensured that requests marked for abortion are consistently returned to the shared memory manager, regardless of whether a new batch of runnable requests can be formed.
- Consistent Queue State Management: Modified the logic to always update the
waiting_req_listby removing processed or aborted requests, preventing potential queue stagnation or incorrect state when no new batch is generated. - Refactoring for Clarity and Correctness: Restructured the
generate_new_batchmethod in multiple queue implementations to move critical cleanup and state update operations outside conditional blocks, ensuring they are always executed.
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Code Review
This pull request fixes a bug where aborted requests were not being handled properly when a new batch couldn't be formed. The fix ensures that aborted requests are always processed by moving the handling logic outside of a conditional block. Stylistic improvements have been suggested to make the code more concise.
| if len(can_run_list) != 0: | ||
| new_batch = Batch(uuid.uuid4().int, can_run_list, dp_size_in_node=self.dp_size_in_node) |
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Consider using a more concise way to initialize new_batch based on whether can_run_list is populated. Using the boolean value of the list directly can improve readability.
new_batch = Batch(uuid.uuid4().int, can_run_list, dp_size_in_node=self.dp_size_in_node) if can_run_list else None| if len(can_run_list) != 0: | ||
| new_batch = Batch(uuid.uuid4().int, can_run_list, dp_size_in_node=self.dp_size_in_node) |
There was a problem hiding this comment.
Consider using a more concise way to initialize new_batch based on whether can_run_list is populated. Using the boolean value of the list directly can improve readability.
new_batch = Batch(uuid.uuid4().int, can_run_list, dp_size_in_node=self.dp_size_in_node) if can_run_list else None| if len(can_run_list) != 0: | ||
| new_batch = Batch(uuid.uuid4().int, can_run_list, dp_size_in_node=self.dp_size_in_node) |
There was a problem hiding this comment.
Consider using a more concise way to initialize new_batch based on whether can_run_list is populated. Using the boolean value of the list directly can improve readability.
new_batch = Batch(uuid.uuid4().int, can_run_list, dp_size_in_node=self.dp_size_in_node) if can_run_list else None
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