onnx/1.16.0

Open standard for machine learning interoperability.

deep-learning machine-learning neural-network

Recipe info

Apache-2.0

View recipe on GitHub

github.com/onnx/onnx

2024-04-06

4d2d4f24d6f73b8a755...

Available packages

Linux

Windows

macOS

macOS Apple Silicon

Install

Add the following line to your conanfile.txt:

[requires]
onnx/1.16.0

Using onnx

Note

If you are a new Conan user, we recommend reading the how to consume packages tutorial.
If you need additional assistance, please ask a question in the Conan Center Index repository.

Simplest use case consuming this recipe and assuming CMake as your local build tool:

[requires]
onnx/1.16.0
[generators]
CMakeDeps
CMakeToolchain
[layout]
cmake_layout

from conan import ConanFile
from conan.tools.cmake import cmake_layout


class ExampleRecipe(ConanFile):
    settings = "os", "compiler", "build_type", "arch"
    generators = "CMakeDeps", "CMakeToolchain"

    def requirements(self):
        self.requires("onnx/1.16.0")

    def layout(self):
        cmake_layout(self)

Now, you can run this Conan command to locally install (and build if necessary) this recipe and its dependencies (if any):

$ conan install conanfile.txt --build=missing

Useful information to take into account to consume this library:

These are the main declared targets:

CMake package name(s): ONNX
CMake target name(s): onnx::onnx

libonnx => onnx
onnx_proto => onnx_proto

pkg-config file name(s): onnx.pc

libonnx => onnx-libonnx.pc
onnx_proto => onnx-onnx_proto.pc

A simple use case using the CMake file name and the global target:

# ...
find_package(ONNX REQUIRED)
# ...
target_link_libraries(YOUR_TARGET onnx::onnx)

These are all the available headers. Some of these ones might be non-public; make sure of it by visiting the onnx homepage listed above:

#include "onnx/checker.h"
#include "onnx/common/array_ref.h"
#include "onnx/common/assertions.h"
#include "onnx/common/common.h"
#include "onnx/common/constants.h"
#include "onnx/common/file_utils.h"
#include "onnx/common/graph_node_list.h"
#include "onnx/common/interned_strings.h"
#include "onnx/common/ir.h"
#include "onnx/common/ir_pb_converter.h"
#include "onnx/common/model_helpers.h"
#include "onnx/common/path.h"
#include "onnx/common/platform_helpers.h"
#include "onnx/common/proto_util.h"
#include "onnx/common/status.h"
#include "onnx/common/tensor.h"
#include "onnx/common/version.h"
#include "onnx/common/visitor.h"
#include "onnx/defs/attr_proto_util.h"
#include "onnx/defs/controlflow/utils.h"
#include "onnx/defs/data_propagators.h"
#include "onnx/defs/data_type_utils.h"
#include "onnx/defs/function.h"
#include "onnx/defs/generator/utils.h"
#include "onnx/defs/math/utils.h"
#include "onnx/defs/operator_sets.h"
#include "onnx/defs/operator_sets_ml.h"
#include "onnx/defs/operator_sets_preview.h"
#include "onnx/defs/operator_sets_training.h"
#include "onnx/defs/parser.h"
#include "onnx/defs/printer.h"
#include "onnx/defs/reduction/utils.h"
#include "onnx/defs/schema.h"
#include "onnx/defs/shape_inference.h"
#include "onnx/defs/tensor/utils.h"
#include "onnx/defs/tensor_proto_util.h"
#include "onnx/defs/tensor_util.h"
#include "onnx/defs/traditionalml/utils.h"
#include "onnx/inliner/inliner.h"
#include "onnx/onnx-data.pb.h"
#include "onnx/onnx-data_pb.h"
#include "onnx/onnx-ml.pb.h"
#include "onnx/onnx-operators-ml.pb.h"
#include "onnx/onnx-operators_pb.h"
#include "onnx/onnx_pb.h"
#include "onnx/proto_utils.h"
#include "onnx/py_utils.h"
#include "onnx/shape_inference/attribute_binder.h"
#include "onnx/shape_inference/implementation.h"
#include "onnx/string_utils.h"
#include "onnx/version_converter/BaseConverter.h"
#include "onnx/version_converter/adapters/adapter.h"
#include "onnx/version_converter/adapters/axes_attribute_to_input.h"
#include "onnx/version_converter/adapters/axes_input_to_attribute.h"
#include "onnx/version_converter/adapters/axis_attribute_to_input.h"
#include "onnx/version_converter/adapters/axis_input_to_attribute.h"
#include "onnx/version_converter/adapters/batch_normalization_13_14.h"
#include "onnx/version_converter/adapters/broadcast_backward_compatibility.h"
#include "onnx/version_converter/adapters/broadcast_forward_compatibility.h"
#include "onnx/version_converter/adapters/cast_9_8.h"
#include "onnx/version_converter/adapters/clip_10_11.h"
#include "onnx/version_converter/adapters/compatible.h"
#include "onnx/version_converter/adapters/dropout_11_12.h"
#include "onnx/version_converter/adapters/extend_supported_types.h"
#include "onnx/version_converter/adapters/gemm_6_7.h"
#include "onnx/version_converter/adapters/gemm_7_6.h"
#include "onnx/version_converter/adapters/gridsample_19_20.h"
#include "onnx/version_converter/adapters/group_normalization_20_21.h"
#include "onnx/version_converter/adapters/maxpool_8_7.h"
#include "onnx/version_converter/adapters/no_previous_version.h"
#include "onnx/version_converter/adapters/pad_10_11.h"
#include "onnx/version_converter/adapters/q_dq_21_20.h"
#include "onnx/version_converter/adapters/remove_consumed_inputs.h"
#include "onnx/version_converter/adapters/reshape_4_5.h"
#include "onnx/version_converter/adapters/reshape_5_4.h"
#include "onnx/version_converter/adapters/resize_10_11.h"
#include "onnx/version_converter/adapters/scan_8_9.h"
#include "onnx/version_converter/adapters/scan_9_8.h"
#include "onnx/version_converter/adapters/scatter_10_11.h"
#include "onnx/version_converter/adapters/slice_9_10.h"
#include "onnx/version_converter/adapters/softmax_12_13.h"
#include "onnx/version_converter/adapters/split_12_13.h"
#include "onnx/version_converter/adapters/split_13_12.h"
#include "onnx/version_converter/adapters/split_17_18.h"
#include "onnx/version_converter/adapters/sum_8_7.h"
#include "onnx/version_converter/adapters/topk_9_10.h"
#include "onnx/version_converter/adapters/transformers.h"
#include "onnx/version_converter/adapters/type_restriction.h"
#include "onnx/version_converter/adapters/upsample_6_7.h"
#include "onnx/version_converter/adapters/upsample_8_9.h"
#include "onnx/version_converter/adapters/upsample_9_10.h"
#include "onnx/version_converter/adapters/upsample_9_8.h"
#include "onnx/version_converter/convert.h"
#include "onnx/version_converter/helper.h"