[ol9_developer_EPEL] onnx-devel-1.14.1-2.el9.aarch64

onnx provides an open source format for AI models, both deep learning and
traditional ML. It defines an extensible computation graph model, as well as
definitions of built-in operators and standard data types.

Filelist (Show Changelog) (Show related packages)

• /

  • usr

    • include

      • onnx

        • checker.h

        • common

          • array_ref.h

          • assertions.h

          • common.h

          • constants.h

          • file_utils.h

          • graph_node_list.h

          • interned_strings.h

          • ir.h

          • ir_pb_converter.h

          • model_helpers.h

          • path.h

          • platform_helpers.h

          • status.h

          • stl_backports.h

          • tensor.h

          • version.h

        • defs

          • attr_proto_util.h

          • controlflow

            • utils.h

          • data_propagators.h

          • data_type_utils.h

          • function.h

          • math

            • utils.h

          • operator_sets.h

          • operator_sets_ml.h

          • operator_sets_preview.h

          • operator_sets_training.h

          • parser.h

          • printer.h

          • reduction

            • utils.h

          • schema.h

          • shape_inference.h

          • tensor

            • utils.h

          • tensor_proto_util.h

          • tensor_util.h

        • onnx-data.in.proto

        • onnx-data.pb.h

        • onnx-data.proto

        • onnx-data_pb.h

        • onnx-ml.pb.h

        • onnx-ml.proto

        • onnx-operators-ml.pb.h

        • onnx-operators-ml.proto

        • onnx-operators.in.proto

        • onnx-operators.proto

        • onnx-operators_pb.h

        • onnx.in.proto

        • onnx.proto

        • onnx_pb.h

        • onnxruntime_fix.h

        • proto_utils.h

        • py_utils.h

        • shape_inference

          • implementation.h

        • string_utils.h

        • version_converter

          • BaseConverter.h

          • adapters

            • adapter.h

            • axes_attribute_to_input.h

            • axes_input_to_attribute.h

            • batch_normalization_13_14.h

            • broadcast_backward_compatibility.h

            • broadcast_forward_compatibility.h

            • cast_9_8.h

            • clip_10_11.h

            • compatible.h

            • dropout_11_12.h

            • extend_supported_types.h

            • gemm_6_7.h

            • gemm_7_6.h

            • maxpool_8_7.h

            • no_previous_version.h

            • pad_10_11.h

            • remove_consumed_inputs.h

            • reshape_4_5.h

            • reshape_5_4.h

            • resize_10_11.h

            • scan_8_9.h

            • scan_9_8.h

            • scatter_10_11.h

            • slice_9_10.h

            • softmax_12_13.h

            • split_12_13.h

            • split_13_12.h

            • split_17_18.h

            • sum_8_7.h

            • topk_9_10.h

            • transformers.h

            • type_restriction.h

            • upsample_6_7.h

            • upsample_8_9.h

            • upsample_9_10.h

            • upsample_9_8.h

          • convert.h

          • helper.h

    • lib64

      • libonnx.so

      • libonnx_proto.so

      • cmake

        • ONNX

          • ONNXConfig.cmake

          • ONNXConfigVersion.cmake

          • ONNXTargets-release.cmake

          • ONNXTargets.cmake