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[Test]: Models test configs in a single Config file #596

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[Test]: Models test configs in a single Config file #596

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1cd87ef
Models test config in single Config file
abukhoy Oct 22, 2025
d7e045e
Conflict Resolved
abukhoy Oct 23, 2025
a59a660
Merge branch 'main' into test-configs
abukhoy Oct 23, 2025
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4 changes: 2 additions & 2 deletions QEfficient/utils/constants.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@
ONNX_EXPORT_EXAMPLE_SEQ_LEN = 32
ONNX_EXPORT_EXAMPLE_FBS = 4
ONNX_EXPORT_EXAMPLE_NLK = 2 # Number of Logits to Keep
ONNX_EXPORT_OPSET = 13
ONNX_EXPORT_OPSET = 17
ONNX_EXPORT_MAX_NUM_IMAGES = 1
ONNX_EXPORT_MAX_IMAGE_TILES = 4
ONNX_EXPORT_IMAGE_WIDTH = 560
Expand Down Expand Up @@ -84,7 +84,7 @@ def get_models_dir():
ONNX_EXPORT_EXAMPLE_MAX_TOP_K_IDS = 512
ONNX_EXPORT_EXAMPLE_TOP_PS = 0.80
ONNX_EXPORT_EXAMPLE_MIN_PS = 0.99
ONNX_EXPORT_OPSET = 13
ONNX_EXPORT_OPSET = 17

COMPILER = ["/opt/qti-aic/exec/qaic-exec", "-aic-hw"]
DEFAULT_AIC_HW_VERSION = "ai100"
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35 changes: 0 additions & 35 deletions tests/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,46 +5,11 @@
#
# -----------------------------------------------------------------------------

import json
import os
import shutil

import pytest
from transformers import AutoConfig

from QEfficient.utils.constants import QEFF_MODELS_DIR
from QEfficient.utils.logging_utils import logger
from QEfficient.utils.test_utils import ModelConfig


def get_custom_model_config_dict(configs):
"""
Converts a list of custom model configuration dictionaries into a dictionary
mapping model names to their corresponding AutoConfig objects.

Args:
configs (List[Dict]): A list of dictionaries, each containing model configuration parameters.

Returns:
Dict[str, AutoConfig]: A dictionary where keys are model names and values are AutoConfig objects.
"""
config_dict = {}
for config in configs:
model_name = config["model_name"]
config_dict[model_name] = AutoConfig.from_pretrained(
model_name,
trust_remote_code=config["model_name"] in ModelConfig.EXTERNAL_MODELS,
**config.get("additional_params", {}),
)
return config_dict


# Pytest fixture to load custom model configs from a JSON file
@pytest.fixture(scope="session")
def custom_causal_model_config_dict():
with open("tests/transformers/models/custom_tiny_model_configs.json", "r") as f:
custom_model_configs_data = json.load(f)
return get_custom_model_config_dict(custom_model_configs_data)


def qeff_models_clean_up():
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