Files
zeekayandHanzo Dev f84fe1fd15 snapshot slice 1
Co-authored-by: Hanzo Dev <[email protected]>
2026-07-28 15:29:05 -07:00

83 lines
2.2 KiB
Python

# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import sys
from typing import TYPE_CHECKING
from onnx.backend.test.case.test_case import TestCase
from onnx.backend.test.case.utils import import_recursive
if TYPE_CHECKING:
from collections.abc import Sequence
import numpy as np
from onnx import ModelProto
_SimpleModelTestCases = []
def expect(
model: ModelProto,
inputs: Sequence[np.ndarray],
outputs: Sequence[np.ndarray],
name: str | None = None,
) -> None:
name = name or model.graph.name
_SimpleModelTestCases.append(
TestCase(
name=name,
model_name=model.graph.name,
url=None,
model_dir=None,
model=model,
data_sets=[(inputs, outputs)],
kind="simple",
rtol=1e-3,
atol=1e-7,
)
)
# BASE_URL = "https://download.onnxruntime.ai/onnx/models"
BASE_URL = "onnx/backend/test/data/light/light_%s.onnx"
def collect_testcases() -> list[TestCase]:
"""Collect model test cases defined in python/numpy code."""
real_model_testcases = []
model_tests = [
("test_bvlc_alexnet", "bvlc_alexnet", 1e-3, 1e-7),
("test_densenet121", "densenet121", 2e-3, 1e-7),
("test_inception_v1", "inception_v1", 1e-3, 1e-7),
("test_inception_v2", "inception_v2", 1e-3, 1e-7),
("test_resnet50", "resnet50", 1e-3, 1e-7),
("test_shufflenet", "shufflenet", 1e-3, 1e-7),
("test_squeezenet", "squeezenet", 1e-3, 1e-7),
("test_vgg19", "vgg19", 1e-3, 1e-7),
("test_zfnet512", "zfnet512", 1e-3, 1e-7),
]
for test_name, model_name, rtol, atol in model_tests:
url = BASE_URL % model_name
real_model_testcases.append(
TestCase(
name=test_name,
model_name=model_name,
url=url,
model_dir=None,
model=None,
data_sets=None,
kind="real",
rtol=rtol,
atol=atol,
)
)
import_recursive(sys.modules[__name__])
return real_model_testcases + _SimpleModelTestCases