27c9ca749d
* [ONNX] Switched to ONNX 1.15.0 * Updated usage of ONNX serialization API * Updated xfailed lists * Updated xfailed lists * Added xfailed ML-operators * Added xfailed float8 cases * Fixing mo tests * Reverted legacy tests * Sets default opset version in layer tests * Skipped test which breaks moving on 1.15 * Updated xfailed list * Fixed typo and added more tests to skipped * Added xfailed tests * Reduced opset due to need to work on onnx 1.13 * Removed unnecessary xfails * Skipped misaligned tests * WA for old compiler build
144 lines
4.6 KiB
JSON
144 lines
4.6 KiB
JSON
{
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"$schema": "https://raw.githubusercontent.com/microsoft/vcpkg-tool/main/docs/vcpkg.schema.json",
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"name": "openvino",
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"version": "2023.2.0",
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"maintainers": "OpenVINO Developers <openvino@intel.com>",
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"summary": "This is a port for Open Visual Inference And Optimization toolkit for AI inference",
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"description": [
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"Intel® Distribution of OpenVINO™ toolkit is an open-source toolkit for optimizing ",
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"and deploying AI inference. It can be used to develop applications and solutions based ",
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"on deep learning tasks, such as: emulation of human vision, automatic speech recognition, ",
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"natural language processing, recommendation systems, etc. It provides high-performance ",
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"and rich deployment options, from edge to cloud"
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],
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"homepage": "https://github.com/openvinotoolkit/openvino",
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"documentation": "https://docs.openvino.ai/latest/index.html",
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"license": "Apache-2.0",
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"builtin-baseline": "db0473513e5dc73ec6b6f431ff05d2f398eea042",
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"dependencies": [
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"ade",
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{
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"name": "pkgconf",
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"host": true
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},
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"pugixml",
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{
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"name": "tbb",
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"version>=": "2021.10.0#2"
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},
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"rapidjson",
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{
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"name": "xbyak",
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"platform": "!(arm | uwp)",
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"version>=": "6.69"
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}
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],
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"default-features": [
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"auto",
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"auto-batch",
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{
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"name": "cpu",
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"platform": "!(windows & arm)"
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},
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{
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"name": "gpu",
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"platform": "(x64 | arm64) & !(arm64 & windows) & !(osx | uwp)"
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},
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"hetero",
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"ir",
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"onnx",
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"paddle",
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"pytorch",
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"tensorflow",
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"tensorflow-lite"
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],
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"features": {
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"auto": {
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"description": "Enables Auto plugin for inference"
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},
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"auto-batch": {
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"description": "Enables Auto Batch plugin for inference, useful for throughput mode"
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},
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"cpu": {
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"description": "Enables CPU plugin for inference",
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"supports": "!(windows & arm)"
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},
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"gpu": {
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"description": "Enables GPU plugin for inference",
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"supports": "(x64 | arm64) & !(arm64 & windows) & !(osx | uwp)",
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"dependencies": [
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"opencl"
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]
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},
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"hetero": {
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"description": "Enables Hetero plugin for inference"
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},
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"ir": {
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"description": "Enables IR frontend for reading models in OpenVINO IR format"
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},
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"onnx": {
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"description": "Enables ONNX frontend for reading models in ONNX format",
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"dependencies": [
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{
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"name": "onnx",
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"version>=": "1.15.0"
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},
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{
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"name": "protobuf",
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"version>=": "3.21.2"
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},
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{
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"name": "protobuf",
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"host": true,
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"version>=": "3.21.2"
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}
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]
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},
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"paddle": {
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"description": "Enables PaddlePaddle frontend for reading models in PaddlePaddle format",
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"dependencies": [
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{
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"name": "protobuf",
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"version>=": "3.21.2"
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},
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{
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"name": "protobuf",
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"host": true,
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"version>=": "3.21.2"
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}
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]
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},
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"pytorch": {
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"description": "Enables PyTorch frontend to convert models in PyTorch format"
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},
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"tensorflow": {
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"description": "Enables TensorFlow frontend for reading models in TensorFlow format",
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"dependencies": [
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{
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"name": "protobuf",
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"version>=": "3.21.2"
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},
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{
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"name": "protobuf",
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"host": true,
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"version>=": "3.21.2"
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},
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"snappy"
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]
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},
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"tensorflow-lite": {
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"description": "Enables TensorFlow Lite frontend for reading models in TensorFlow Lite format",
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"dependencies": [
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{
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"name": "flatbuffers",
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"version>=": "2.0.6"
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},
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{
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"name": "flatbuffers",
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"host": true,
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"version>=": "2.0.6"
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}
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]
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}
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}
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} |