[ci] add test workflow for 3090 machine

[zhulinJulia24]

add test workflow for 3090 machine

[Copilot]

Pull Request Overview

This PR adds support for running tests on a 3090 machine by introducing new configuration flags, updating test annotations, and adding a dedicated workflow file. The key changes include:

• Injecting environment‑specific command line flags (e.g. “cache‑max‑entry‑count”) for the 3090 machine.
• Updating test functions to include a new @pytest.mark.test_3090 annotation.
• Adding a new daily ETE test workflow file and a dedicated 3090 configuration file.

Reviewed Changes

Copilot reviewed 21 out of 21 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
autotest/utils/run_client_chat.py	Adds extra CLI flag when running on env '3090'.
autotest/utils/quantization_utils.py	Adjusts batch-size logic for 3090 and applies conditional cuda_prefix usage.
autotest/utils/pipeline_chat.py	Updates default parameter handling for extra and injects cache settings for 3090.
autotest/utils/config_utils.py	Uses OrderedDict to remove duplicate model entries in quantization config.
Various test files	Adds @pytest.mark.test_3090 annotations for tests targeting the 3090 machine.
autotest/tools/pipeline/mllm_case.py & llm_case.py	Adds support for passing cache settings via extra configuration.
autotest/config.yaml & config-3090.yaml	Introduces env_tag for distinguishing configurations.
.github/workflows/daily_ete_test_3090.yml	New workflow configuration for daily testing on the 3090 machine.

[Copilot]

Pull Request Overview

This PR adds support for running test workflows on a 3090 machine by updating various test files, configuration files, and adding a new GitHub workflow. Key changes include:

• Inserting environment‐specific logic (checking for env_tag "3090") in the client, quantization, and pipeline modules.
• Adding new pytest marks (@pytest.mark.test_3090) to multiple test cases and updating configuration files to support 3090 settings.
• Introducing a new GitHub workflow file (.github/workflows/daily_ete_test_3090.yml) to orchestrate daily tests on the 3090 machine.

Reviewed Changes

Copilot reviewed 23 out of 23 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
autotest/utils/run_client_chat.py	Added environment check for "3090" to adjust extra cli flags.
autotest/utils/quantization_utils.py	Refactored command construction for quantization with environment-specific batch sizes.
autotest/utils/pipeline_chat.py	Included test-specific overrides via env_tag "3090" and modified extra parameters for chat tests.
autotest/utils/config_utils.py	Updated quantization model list construction to remove duplicate entries using OrderedDict.
Various test files under autotest/tools	Added new pytest marker (@pytest.mark.test_3090) for 3090-targeted tests.
autotest/config.yaml & autotest/config-3090.yaml	Introduced and updated env_tag settings to distinguish between standard and 3090 environments.
.github/workflows/daily_ete_test_3090.yml	Added a comprehensive workflow to run daily E2E tests on the 3090 machine.

Comments suppressed due to low confidence (1)

autotest/utils/pipeline_chat.py:33

• [nitpick] The extra parameter 'cache-max-entry-count' is set to different values across modules (e.g., 0.7 in run_client_chat, 0.6 and 0.5 in pipeline tests). Verify these values are intentionally different; if not, consider consolidating them to avoid confusion.

if str(config.get('env_tag')) == '3090':