Adding new options for LLM #768
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nv-braf
commented
Oct 2, 2023
| @@ -51,10 +51,15 @@ | |||
| DEFAULT_RUN_CONFIG_MIN_MODEL_BATCH_SIZE = 1 | |||
| DEFAULT_RUN_CONFIG_MAX_MODEL_BATCH_SIZE = 128 | |||
| DEFAULT_RUN_CONFIG_MAX_BINARY_SEARCH_STEPS = 5 | |||
| DEFAULT_RUN_CONFIG_MIN_PROMPT_LENGTH = 1 | |||
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These are just placeholder values. Need input from LLM stakeholders to pick real values
nv-braf
commented
Oct 2, 2023
| @@ -36,62 +37,6 @@ | |||
| from model_analyzer.triton.server.server_config import TritonServerConfig | |||
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| from .config_command import ConfigCommand | |||
| from .config_defaults import ( | |||
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It was getting annoying (and ugly) to keep adding more defaults. So, I switched this to import all the defaults
nv-braf
commented
Oct 2, 2023
| @@ -71,23 +72,27 @@ def get_test_options(): | |||
| # The following options can be None: | |||
| # short_option | |||
| # expected_default_value | |||
| OptionStruct("int", "profile", "--client-max-retries", "-r", "125", "50"), | |||
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Boyscoutted the removal of magic numbers
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nv-braf
commented
Oct 2, 2023
| @@ -12,8 +12,8 @@ | |||
| # See the License for the specific language governing permissions and | |||
| # limitations under the License. | |||
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| ARG BASE_IMAGE=nvcr.io/nvidia/tritonserver:23.08-py3 | |||
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I don't know why these changes are showing up after I rebased, but these and the docs changes are safe to ignore.
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Maybe you can try this to remove the unwanted commit from PR: https://stackoverflow.com/a/51400593
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I'm not too concerned. They match what is on the add-llm-mode branch and will go away when this subbranch is pushed. Just wanted to call it out so you wouldn't review it.
nv-hwoo
reviewed
Oct 2, 2023
nv-hwoo
approved these changes
Oct 3, 2023
nv-braf
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Nov 3, 2023
* Adding new options for LLM (#768) * Update README and versions for 23.09 branch (#761) (#767) * Adding new options for LLM * Fixing codeQL issues * Fixing codeQL issue --------- Co-authored-by: Misha Chornyi <[email protected]> * Add LLM support to Brute Search (#769) * Initial coding complete * First unit test passing * Adding test for prompt length * Refactor PACG methods * Further refactoring * Ensure early exit isn't enabled for LLM models * Fix type checking errors * Attempt at fixing codeql issue * Revert "Attempt at fixing codeql issue" This reverts commit 2619b83. * Attempt at codeQL fix * Adding deepcopy back in * Removing deepcopy in an attempt to fix codeQL errors * Update model_analyzer/config/input/config_command_profile.py Co-authored-by: Hyunjae Woo <[email protected]> * Update model_analyzer/config/generate/perf_analyzer_config_generator.py Co-authored-by: Hyunjae Woo <[email protected]> * Update model_analyzer/config/generate/perf_analyzer_config_generator.py Co-authored-by: Hyunjae Woo <[email protected]> * Update model_analyzer/config/generate/perf_analyzer_config_generator.py Co-authored-by: Hyunjae Woo <[email protected]> * Moving location of method * Changing parameter to inference load * Changing parameter to inference load * Changing prompt length to text input length * Changing max_tokens to use request-parameter * Fix input-data typo * Changing non-parameter to parameter --------- Co-authored-by: Hyunjae Woo <[email protected]> * New LLM record types (#770) * New measurement fields created. * Fixing omission in llm_metric_table * Changing name to be avg_token_to_token... * New config options based on live run (#775) * Added new config options and modified existing options * Refactoring model parameter setting * Removing magic numbers * Capture LLM metrics from PA (#774) * Initial code for aggregation of new LLM metrics * New measurement fields created. * Fixing PA unit tests * Adding hooks in metrics to capture new LLM fields * Fixing codeQL errors * Fixing type checking errors * Changes needed post-merge from other branches * Revert naming mistake (due to merge). * Changes uncovered during live testing * Fixes based on hwoo review * Fixing typo * Change to use lists and mean() * Changes based on hwoo review * Correct how periodic concurrency works in PACG (#777) * Created a new class ConfigRangeNumeric and using it for periodic-concurrency * Fixes and defaults for periodic concurrency * First unit test passing * PACG chagnes complete. Unit tests updated and passing * Removing uneeded class * Fixing codeQL and hwoo's review suggestions * Adding missing else * Llm testing live run (#778) * Created a new class ConfigRangeNumeric and using it for periodic-concurrency * Fixes and defaults for periodic concurrency * First unit test passing * PACG chagnes complete. Unit tests updated and passing * Removing uneeded class * Changes to fix live run * Minor refactor and cleanup * Removing json files * Changing to use f-string * More cleanup from hwoo CR * Removing stale code for request period * Fix nit * Changes to get LLM summary reports working (#779) * Changes to get LLM summary reports working * Addressing hwoo's CR * Adding illegal LLM checks w/ unit testing + some minor cleanup (#781) * Adding illegal LLM checks w/ unit testing + some minor cleanup * Updated with TMA * Misc LLM cleanup (#782) * General cleanup * Add ticket nums to todos * Fix for non-LLM breaking bug introduced. * summary table in progress --------- Co-authored-by: Misha Chornyi <[email protected]> Co-authored-by: Hyunjae Woo <[email protected]>
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Added the following new options to support LLM: