[ONNX] Switched ONNX to 1.14.1 (#18359)

* Switched ONNX to 1.14

* Updated IR_VERSION in the tests

* Assigned an extended tests to issues

* Switched ONNX to 1.14.1

* Slightly relaxed requirements for ONNX 1.14.1 and updated conan.lock
This commit is contained in:
Georgy Krivoruchko 2023-09-13 04:40:08 -07:00 committed by GitHub
parent 3c762240f3
commit 5eff59a2d0
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
12 changed files with 252 additions and 14 deletions

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@ -11,7 +11,7 @@
"opencl-icd-loader/2023.04.17#5f73dd9f0c023d416a7f162e320b9c77%1692732261.088",
"opencl-headers/2023.04.17#3d98f2d12a67c2400de6f11d5335b5a6%1683936272.16",
"opencl-clhpp-headers/2023.04.17#7c62fcc7ac2559d4839150d2ebaac5c8%1685450803.672",
"onnx/1.13.1#f11071c8aba52731a5205b028945acbb%1693130310.715",
"onnx/1.14.1#d95f4e64bedf3dc6898253847ac69005%1693130309.828",
"onetbb/2021.10.0#cbb2fc43088070b48f6e4339bc8fa0e1%1693812561.235",
"nlohmann_json/3.11.2#a35423bb6e1eb8f931423557e282c7ed%1666619820.488",
"ittapi/3.24.0#9246125f13e7686dee2b0c992b71db94%1682969872.743",

View File

@ -10,7 +10,7 @@ rapidjson/[>=1.1.0]
xbyak/[>=6.62]
snappy/[>=1.1.7]
gflags/2.2.2
onnx/1.13.1
onnx/1.14.1
nlohmann_json/[>=3.1.1]
pybind11/[>=2.10.1]
flatbuffers/[>=22.9.24]

View File

@ -19,4 +19,4 @@ paddlepaddle==2.4.2
tensorflow>=1.15.5,<2.14.0
six~=1.16.0
protobuf>=3.18.1,<4.0.0
onnx==1.13.1
onnx==1.14.1

View File

@ -163,3 +163,16 @@ xfail_issue_101965 = xfail_test(reason="Mismatch with numpy-based expected resul
xfail_issue_113506 = xfail_test(reason="Unsupported operation of type: LSTMSequence Node expects 7 inputs. Actual: 8")
skip_dynamic_model = pytest.mark.skip(reason="CPU plug-in can't load a model with dynamic output shapes via legacy API")
xfail_issue_119896 = xfail_test(reason="Unsupported element type: FLOAT8")
xfail_issue_119900 = xfail_test(reason="While validating ONNX node '<Node(Resize): Y>': "
"half_pixel_symmetric - this type of coordinate transformation mode "
"is not supported. Choose one of the following modes: "
"tf_half_pixel_for_nn, asymmetric, align_corners, pytorch_half_pixel, "
"half_pixel")
xfail_issue_119903 = xfail_test(reason="DeformConv operation is not supported")
xfail_issue_119906 = xfail_test(reason="LpPool operation is not supported")
xfail_issue_119919 = xfail_test(reason="While validating ONNX node '<Node(Pad): y>': Unsupported padding mode: [wrap]")
xfail_issue_119922 = xfail_test(reason="ai.onnx.ml operators domain isn't supported")
xfail_issue_119925 = xfail_test(reason="AveragePool AssertionError: Not equal to tolerance rtol=0.001, atol=1e-07")
xfail_issue_119926 = xfail_test(reason="ROIAlign AssertionError: Not equal to tolerance rtol=0.001, atol=1e-07")

View File

@ -64,6 +64,14 @@ from tests_compatibility import (
xfail_issue_99973,
xfail_issue_113506,
skip_dynamic_model,
xfail_issue_119896,
xfail_issue_119900,
xfail_issue_119903,
xfail_issue_119906,
xfail_issue_119919,
xfail_issue_119922,
xfail_issue_119925,
xfail_issue_119926,
)
from tests_compatibility.test_onnx.utils.onnx_backend import OpenVinoTestBackend
@ -151,6 +159,9 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_identity_sequence_cpu",
"OnnxBackendNodeModelTest.test_if_seq_cpu",
"OnnxBackendNodeModelTest.test_if_opt_cpu", # Optional, SequenceConstruct
"OnnxBackendNodeModelTest.test_split_to_sequence_1_cpu",
"OnnxBackendNodeModelTest.test_split_to_sequence_2_cpu",
"OnnxBackendNodeModelTest.test_split_to_sequence_nokeepdims_cpu",
),
(
xfail_issue_38701,
@ -172,6 +183,8 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_STRING_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_STRING_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_STRING_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_equal_string_broadcast_cpu",
"OnnxBackendNodeModelTest.test_equal_string_cpu",
),
(
xfail_issue_33595,
@ -293,6 +306,8 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_triu_one_row_cpu",
"OnnxBackendNodeModelTest.test_squeeze_cpu",
"OnnxBackendNodeModelTest.test_squeeze_negative_axes_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_negative_axes_hwc_expanded_cpu",
"OnnxBackendNodeModelTest.test_constant_pad_negative_axes_cpu",
),
(
skip_rng_tests,
@ -533,6 +548,8 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_axes_hwc_expanded_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_pad_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_negative_axes_hwc_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_negative_axes_hwc_expanded_cpu",
),
(
xfail_issue_99952,
@ -703,6 +720,93 @@ tests_expected_to_fail = [
xfail_issue_113506,
"OnnxBackendNodeModelTest.test_lstm_with_peepholes_cpu",
),
(
xfail_issue_119896,
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FNUZ_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FN_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FN_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2FNUZ_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FNUZ_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FN_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FN_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2FNUZ_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FNUZ_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FN_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2FNUZ_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2_expanded_cpu",
"OnnxBackendNodeModelTest.test_dequantizelinear_e4m3fn_cpu",
"OnnxBackendNodeModelTest.test_dequantizelinear_e5m2_cpu",
"OnnxBackendNodeModelTest.test_quantizelinear_e4m3fn_cpu",
"OnnxBackendNodeModelTest.test_quantizelinear_e5m2_cpu",
),
(
xfail_issue_119900,
"OnnxBackendNodeModelTest.test_resize_downsample_scales_linear_half_pixel_symmetric_cpu",
"OnnxBackendNodeModelTest.test_resize_upsample_scales_linear_half_pixel_symmetric_cpu",
),
(
xfail_issue_119903,
"OnnxBackendNodeModelTest.test_basic_deform_conv_with_padding_cpu",
"OnnxBackendNodeModelTest.test_basic_deform_conv_without_padding_cpu",
"OnnxBackendNodeModelTest.test_deform_conv_with_mask_bias_cpu",
"OnnxBackendNodeModelTest.test_deform_conv_with_multiple_offset_groups_cpu",
),
(
xfail_issue_119906,
"OnnxBackendNodeModelTest.test_lppool_1d_default_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_default_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_dilations_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_pads_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_same_lower_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_same_upper_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_strides_cpu",
"OnnxBackendNodeModelTest.test_lppool_3d_default_cpu",
),
(
xfail_issue_119919,
"OnnxBackendNodeModelTest.test_wrap_pad_cpu",
),
(
xfail_issue_119922,
"OnnxBackendNodeModelTest.test_ai_onnx_ml_array_feature_extractor_cpu",
"OnnxBackendNodeModelTest.test_ai_onnx_ml_binarizer_cpu",
),
(
xfail_issue_119925,
"OnnxBackendNodeModelTest.test_averagepool_2d_dilations_cpu",
),
(
xfail_issue_119926,
"OnnxBackendNodeModelTest.test_roialign_mode_max_cpu",
),
]
for test_group in tests_expected_to_fail:

View File

@ -150,3 +150,18 @@ xfail_issue_91151 = xfail_test(reason="RuntimeError: model input (shape={3,4}) a
xfail_issue_91490 = xfail_test(reason="y has zero dimension which is not allowed")
xfail_issue_101965 = xfail_test(reason="Mismatch with numpy-based expected results.")
xfail_issue_113506 = xfail_test(reason="Unsupported operation of type: LSTMSequence Node expects 7 inputs. Actual: 8")
skip_dynamic_model = pytest.mark.skip(reason="CPU plug-in can't load a model with dynamic output shapes via legacy API")
xfail_issue_119896 = xfail_test(reason="Unsupported element type: FLOAT8")
xfail_issue_119900 = xfail_test(reason="While validating ONNX node '<Node(Resize): Y>': "
"half_pixel_symmetric - this type of coordinate transformation mode "
"is not supported. Choose one of the following modes: "
"tf_half_pixel_for_nn, asymmetric, align_corners, pytorch_half_pixel, "
"half_pixel")
xfail_issue_119903 = xfail_test(reason="DeformConv operation is not supported")
xfail_issue_119906 = xfail_test(reason="LpPool operation is not supported")
xfail_issue_119919 = xfail_test(reason="While validating ONNX node '<Node(Pad): y>': Unsupported padding mode: [wrap]")
xfail_issue_119922 = xfail_test(reason="ai.onnx.ml operators domain isn't supported")
xfail_issue_119925 = xfail_test(reason="AveragePool AssertionError: Not equal to tolerance rtol=0.001, atol=1e-07")
xfail_issue_119926 = xfail_test(reason="ROIAlign AssertionError: Not equal to tolerance rtol=0.001, atol=1e-07")

View File

@ -19,7 +19,7 @@ OPENVINO_TEST(onnx, check_ir_version_support) {
//
// The last step is to also update the details::onnx::contains_onnx_model_keys() function
// in the same file to make sure that prototxt format validation also covers the changes in ONNX
EXPECT_EQ(ONNX_NAMESPACE::Version::IR_VERSION, 8)
EXPECT_EQ(ONNX_NAMESPACE::Version::IR_VERSION, 9)
<< "The IR_VERSION defined in ONNX does not match the version that OpenVINO supports. "
"Please check the source code of this test for details and explanation how to proceed.";
}

View File

@ -62,6 +62,15 @@ from tests import (
xfail_issue_99973,
xfail_issue_101965,
xfail_issue_113506,
skip_dynamic_model,
xfail_issue_119896,
xfail_issue_119900,
xfail_issue_119903,
xfail_issue_119906,
xfail_issue_119919,
xfail_issue_119922,
xfail_issue_119925,
xfail_issue_119926,
)
from tests.tests_python.utils.onnx_backend import OpenVinoTestBackend
@ -156,6 +165,9 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_sequence_map_identity_1_sequence_1_tensor_expanded_cpu",
"OnnxBackendNodeModelTest.test_sequence_map_identity_1_sequence_expanded_cpu",
"OnnxBackendNodeModelTest.test_sequence_map_identity_2_sequences_expanded_cpu",
"OnnxBackendNodeModelTest.test_split_to_sequence_1_cpu",
"OnnxBackendNodeModelTest.test_split_to_sequence_2_cpu",
"OnnxBackendNodeModelTest.test_split_to_sequence_nokeepdims_cpu",
),
(
xfail_issue_38701,
@ -177,6 +189,8 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_STRING_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_STRING_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_STRING_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_equal_string_broadcast_cpu",
"OnnxBackendNodeModelTest.test_equal_string_cpu",
),
(
xfail_issue_33651,
@ -279,6 +293,14 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_tril_zero_cpu",
"OnnxBackendNodeModelTest.test_triu_zero_cpu",
),
(
skip_dynamic_model,
"OnnxBackendNodeModelTest.test_triu_one_row_cpu",
"OnnxBackendNodeModelTest.test_squeeze_cpu",
"OnnxBackendNodeModelTest.test_squeeze_negative_axes_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_negative_axes_hwc_expanded_cpu",
"OnnxBackendNodeModelTest.test_constant_pad_negative_axes_cpu",
),
(
skip_rng_tests,
"OnnxBackendNodeModelTest.test_bernoulli_cpu",
@ -402,6 +424,8 @@ tests_expected_to_fail = [
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_axes_hwc_expanded_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_pad_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_negative_axes_hwc_cpu",
"OnnxBackendNodeModelTest.test_center_crop_pad_crop_negative_axes_hwc_expanded_cpu",
),
(
xfail_issue_99952,
@ -570,6 +594,93 @@ tests_expected_to_fail = [
xfail_issue_113506,
"OnnxBackendNodeModelTest.test_lstm_with_peepholes_cpu",
),
(
xfail_issue_119896,
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT16_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FNUZ_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FN_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E4M3FN_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2FNUZ_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2_to_FLOAT16_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT8E5M2_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_FLOAT_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT16_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_cast_no_saturate_FLOAT_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FNUZ_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FN_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E4M3FN_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2FNUZ_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2FNUZ_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2_to_FLOAT_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT8E5M2_to_FLOAT_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FNUZ_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FNUZ_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FN_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E4M3FN_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2FNUZ_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2FNUZ_expanded_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2_cpu",
"OnnxBackendNodeModelTest.test_castlike_FLOAT_to_FLOAT8E5M2_expanded_cpu",
"OnnxBackendNodeModelTest.test_dequantizelinear_e4m3fn_cpu",
"OnnxBackendNodeModelTest.test_dequantizelinear_e5m2_cpu",
"OnnxBackendNodeModelTest.test_quantizelinear_e4m3fn_cpu",
"OnnxBackendNodeModelTest.test_quantizelinear_e5m2_cpu",
),
(
xfail_issue_119900,
"OnnxBackendNodeModelTest.test_resize_downsample_scales_linear_half_pixel_symmetric_cpu",
"OnnxBackendNodeModelTest.test_resize_upsample_scales_linear_half_pixel_symmetric_cpu",
),
(
xfail_issue_119903,
"OnnxBackendNodeModelTest.test_basic_deform_conv_with_padding_cpu",
"OnnxBackendNodeModelTest.test_basic_deform_conv_without_padding_cpu",
"OnnxBackendNodeModelTest.test_deform_conv_with_mask_bias_cpu",
"OnnxBackendNodeModelTest.test_deform_conv_with_multiple_offset_groups_cpu",
),
(
xfail_issue_119906,
"OnnxBackendNodeModelTest.test_lppool_1d_default_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_default_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_dilations_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_pads_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_same_lower_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_same_upper_cpu",
"OnnxBackendNodeModelTest.test_lppool_2d_strides_cpu",
"OnnxBackendNodeModelTest.test_lppool_3d_default_cpu",
),
(
xfail_issue_119919,
"OnnxBackendNodeModelTest.test_wrap_pad_cpu",
),
(
xfail_issue_119922,
"OnnxBackendNodeModelTest.test_ai_onnx_ml_array_feature_extractor_cpu",
"OnnxBackendNodeModelTest.test_ai_onnx_ml_binarizer_cpu",
),
(
xfail_issue_119925,
"OnnxBackendNodeModelTest.test_averagepool_2d_dilations_cpu",
),
(
xfail_issue_119926,
"OnnxBackendNodeModelTest.test_roialign_mode_max_cpu",
),
]
for test_group in tests_expected_to_fail:

View File

@ -569,7 +569,7 @@ endif()
#
if(ENABLE_OV_ONNX_FRONTEND)
find_package(ONNX 1.13.1 EXACT QUIET COMPONENTS onnx onnx_proto NO_MODULE)
find_package(ONNX 1.14.0 QUIET COMPONENTS onnx onnx_proto NO_MODULE)
if(ONNX_FOUND)
# conan and vcpkg create imported targets 'onnx' and 'onnx_proto'

@ -1 +1 @@
Subproject commit ad834eb73ee0cd9b6fa9ea892caeed5fa17d7dc0
Subproject commit 1014f41f17ecc778d63e760a994579d96ba471ff

View File

@ -4,7 +4,7 @@
# tensorflow, numpy
mxnet~=1.2.0; sys_platform == 'win32'
mxnet>=1.7.0.post2,<=1.9.1; sys_platform != 'win32'
onnx>=1.8.1,<=1.13.1
onnx>=1.8.1,<=1.14.1
networkx<=3.1.0
pytest>=5.0,<7.3
protobuf>=3.18.1,<4.0.0

View File

@ -81,7 +81,7 @@
"dependencies": [
{
"name": "onnx",
"version>=": "1.13.1"
"version>=": "1.14.0"
},
{
"name": "protobuf",
@ -140,10 +140,5 @@
}
]
}
},
"overrides": [
{
"name": "onnx", "version": "1.13.1", "port-version": 0
}
]
}
}