Uses of Package
onnx

Packages that use onnx

Package	Description
onnx
org.nd4j.autodiff.functions
org.nd4j.linalg.api.ops
org.nd4j.linalg.api.ops.impl.layers
org.nd4j.linalg.api.ops.impl.layers.convolution
org.nd4j.linalg.api.ops.impl.layers.recurrent
org.nd4j.linalg.api.ops.impl.reduce
org.nd4j.linalg.api.ops.impl.shape
org.nd4j.linalg.api.ops.impl.shape.tensorops
org.nd4j.linalg.api.ops.impl.transforms.clip
org.nd4j.linalg.api.ops.impl.transforms.custom
org.nd4j.linalg.api.ops.impl.transforms.strict
org.nd4j.linalg.api.ops.random.impl

Classes in onnx used by onnx

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.AttributeProto.AttributeType	Note: this enum is structurally identical to the OpSchema::AttrType enum defined in schema.h.
Onnx.AttributeProto.Builder	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.AttributeProtoOrBuilder
Onnx.FunctionProto	Protobuf type onnx.FunctionProto
Onnx.FunctionProto.Builder	Protobuf type onnx.FunctionProto
Onnx.FunctionProtoOrBuilder
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.GraphProto.Builder	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.GraphProtoOrBuilder
Onnx.ModelProto	Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.
Onnx.ModelProto.Builder	Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.
Onnx.ModelProtoOrBuilder
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.
Onnx.NodeProto.Builder	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.
Onnx.NodeProtoOrBuilder
Onnx.OperatorSetIdProto	Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.
Onnx.OperatorSetIdProto.Builder	Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.
Onnx.OperatorSetIdProtoOrBuilder
Onnx.OperatorStatus	Operator/function status.
Onnx.SparseTensorProto	A serialized sparse-tensor value
Onnx.SparseTensorProto.Builder	A serialized sparse-tensor value
Onnx.SparseTensorProtoOrBuilder
Onnx.StringStringEntryProto	StringStringEntryProto follows the pattern for cross-proto-version maps.
Onnx.StringStringEntryProto.Builder	StringStringEntryProto follows the pattern for cross-proto-version maps.
Onnx.StringStringEntryProtoOrBuilder
Onnx.TensorAnnotation	Protobuf type onnx.TensorAnnotation
Onnx.TensorAnnotation.Builder	Protobuf type onnx.TensorAnnotation
Onnx.TensorAnnotationOrBuilder
Onnx.TensorProto	Tensors A serialized tensor value.
Onnx.TensorProto.Builder	Tensors A serialized tensor value.
Onnx.TensorProto.DataLocation	Location of the data for this tensor.
Onnx.TensorProto.DataType	Protobuf enum onnx.TensorProto.DataType
Onnx.TensorProto.Segment	For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.
Onnx.TensorProto.Segment.Builder	For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.
Onnx.TensorProto.SegmentOrBuilder
Onnx.TensorProtoOrBuilder
Onnx.TensorShapeProto	Defines a tensor shape.
Onnx.TensorShapeProto.Builder	Defines a tensor shape.
Onnx.TensorShapeProto.Dimension	Protobuf type onnx.TensorShapeProto.Dimension
Onnx.TensorShapeProto.Dimension.Builder	Protobuf type onnx.TensorShapeProto.Dimension
Onnx.TensorShapeProto.Dimension.ValueCase
Onnx.TensorShapeProto.DimensionOrBuilder
Onnx.TensorShapeProtoOrBuilder
Onnx.TrainingInfoProto	Training information TrainingInfoProto stores information for training a model.
Onnx.TrainingInfoProto.Builder	Training information TrainingInfoProto stores information for training a model.
Onnx.TrainingInfoProtoOrBuilder
Onnx.TypeProto	Types The standard ONNX data types.
Onnx.TypeProto.Builder	Types The standard ONNX data types.
Onnx.TypeProto.Map	map<K,V>
Onnx.TypeProto.Map.Builder	map<K,V>
Onnx.TypeProto.MapOrBuilder
Onnx.TypeProto.Optional	wrapper for Tensor, Sequence, or Map
Onnx.TypeProto.Optional.Builder	wrapper for Tensor, Sequence, or Map
Onnx.TypeProto.OptionalOrBuilder
Onnx.TypeProto.Sequence	repeated T
Onnx.TypeProto.Sequence.Builder	repeated T
Onnx.TypeProto.SequenceOrBuilder
Onnx.TypeProto.SparseTensor	Protobuf type onnx.TypeProto.SparseTensor
Onnx.TypeProto.SparseTensor.Builder	Protobuf type onnx.TypeProto.SparseTensor
Onnx.TypeProto.SparseTensorOrBuilder
Onnx.TypeProto.Tensor	Protobuf type onnx.TypeProto.Tensor
Onnx.TypeProto.Tensor.Builder	Protobuf type onnx.TypeProto.Tensor
Onnx.TypeProto.TensorOrBuilder
Onnx.TypeProto.ValueCase
Onnx.TypeProtoOrBuilder
Onnx.ValueInfoProto	Defines information on value, including the name, the type, and the shape of the value.
Onnx.ValueInfoProto.Builder	Defines information on value, including the name, the type, and the shape of the value.
Onnx.ValueInfoProtoOrBuilder
Onnx.Version	Versioning ONNX versioning is specified in docs/IR.md and elaborated on in docs/Versioning.md To be compatible with both proto2 and proto3, we will use a version number that is not defined by the default value but an explicit enum number.
OnnxMl.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
OnnxMl.AttributeProto.AttributeType	Note: this enum is structurally identical to the OpSchema::AttrType enum defined in schema.h.
OnnxMl.AttributeProto.Builder	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
OnnxMl.AttributeProtoOrBuilder
OnnxMl.FunctionProto	Protobuf type onnx.FunctionProto
OnnxMl.FunctionProto.Builder	Protobuf type onnx.FunctionProto
OnnxMl.FunctionProtoOrBuilder
OnnxMl.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
OnnxMl.GraphProto.Builder	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
OnnxMl.GraphProtoOrBuilder
OnnxMl.ModelProto	Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.
OnnxMl.ModelProto.Builder	Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.
OnnxMl.ModelProtoOrBuilder
OnnxMl.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.
OnnxMl.NodeProto.Builder	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.
OnnxMl.NodeProtoOrBuilder
OnnxMl.OperatorSetIdProto	Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.
OnnxMl.OperatorSetIdProto.Builder	Operator Sets OperatorSets are uniquely identified by a (domain, opset_version) pair.
OnnxMl.OperatorSetIdProtoOrBuilder
OnnxMl.OperatorStatus	Operator/function status.
OnnxMl.SparseTensorProto	A serialized sparse-tensor value
OnnxMl.SparseTensorProto.Builder	A serialized sparse-tensor value
OnnxMl.SparseTensorProtoOrBuilder
OnnxMl.StringStringEntryProto	StringStringEntryProto follows the pattern for cross-proto-version maps.
OnnxMl.StringStringEntryProto.Builder	StringStringEntryProto follows the pattern for cross-proto-version maps.
OnnxMl.StringStringEntryProtoOrBuilder
OnnxMl.TensorAnnotation	Protobuf type onnx.TensorAnnotation
OnnxMl.TensorAnnotation.Builder	Protobuf type onnx.TensorAnnotation
OnnxMl.TensorAnnotationOrBuilder
OnnxMl.TensorProto	Tensors A serialized tensor value.
OnnxMl.TensorProto.Builder	Tensors A serialized tensor value.
OnnxMl.TensorProto.DataLocation	Location of the data for this tensor.
OnnxMl.TensorProto.DataType	Protobuf enum onnx.TensorProto.DataType
OnnxMl.TensorProto.Segment	For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.
OnnxMl.TensorProto.Segment.Builder	For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.
OnnxMl.TensorProto.SegmentOrBuilder
OnnxMl.TensorProtoOrBuilder
OnnxMl.TensorShapeProto	Defines a tensor shape.
OnnxMl.TensorShapeProto.Builder	Defines a tensor shape.
OnnxMl.TensorShapeProto.Dimension	Protobuf type onnx.TensorShapeProto.Dimension
OnnxMl.TensorShapeProto.Dimension.Builder	Protobuf type onnx.TensorShapeProto.Dimension
OnnxMl.TensorShapeProto.Dimension.ValueCase
OnnxMl.TensorShapeProto.DimensionOrBuilder
OnnxMl.TensorShapeProtoOrBuilder
OnnxMl.TrainingInfoProto	Training information TrainingInfoProto stores information for training a model.
OnnxMl.TrainingInfoProto.Builder	Training information TrainingInfoProto stores information for training a model.
OnnxMl.TrainingInfoProtoOrBuilder
OnnxMl.TypeProto	Types The standard ONNX data types.
OnnxMl.TypeProto.Builder	Types The standard ONNX data types.
OnnxMl.TypeProto.Map	map<K,V>
OnnxMl.TypeProto.Map.Builder	map<K,V>
OnnxMl.TypeProto.MapOrBuilder
OnnxMl.TypeProto.Opaque	Protobuf type onnx.TypeProto.Opaque
OnnxMl.TypeProto.Opaque.Builder	Protobuf type onnx.TypeProto.Opaque
OnnxMl.TypeProto.OpaqueOrBuilder
OnnxMl.TypeProto.Optional	wrapper for Tensor, Sequence, or Map
OnnxMl.TypeProto.Optional.Builder	wrapper for Tensor, Sequence, or Map
OnnxMl.TypeProto.OptionalOrBuilder
OnnxMl.TypeProto.Sequence	repeated T
OnnxMl.TypeProto.Sequence.Builder	repeated T
OnnxMl.TypeProto.SequenceOrBuilder
OnnxMl.TypeProto.SparseTensor	Protobuf type onnx.TypeProto.SparseTensor
OnnxMl.TypeProto.SparseTensor.Builder	Protobuf type onnx.TypeProto.SparseTensor
OnnxMl.TypeProto.SparseTensorOrBuilder
OnnxMl.TypeProto.Tensor	Protobuf type onnx.TypeProto.Tensor
OnnxMl.TypeProto.Tensor.Builder	Protobuf type onnx.TypeProto.Tensor
OnnxMl.TypeProto.TensorOrBuilder
OnnxMl.TypeProto.ValueCase
OnnxMl.TypeProtoOrBuilder
OnnxMl.ValueInfoProto	Defines information on value, including the name, the type, and the shape of the value.
OnnxMl.ValueInfoProto.Builder	Defines information on value, including the name, the type, and the shape of the value.
OnnxMl.ValueInfoProtoOrBuilder
OnnxMl.Version	Versioning ONNX versioning is specified in docs/IR.md and elaborated on in docs/Versioning.md To be compatible with both proto2 and proto3, we will use a version number that is not defined by the default value but an explicit enum number.
OnnxOperators.OperatorProto	An OperatorProto represents the immutable specification of the signature and semantics of an operator.
OnnxOperators.OperatorProto.Builder	An OperatorProto represents the immutable specification of the signature and semantics of an operator.
OnnxOperators.OperatorProtoOrBuilder
OnnxOperators.OperatorSetProto	An OperatorSetProto represents an immutable set of immutable operator specifications.
OnnxOperators.OperatorSetProto.Builder	An OperatorSetProto represents an immutable set of immutable operator specifications.
OnnxOperators.OperatorSetProtoOrBuilder

Classes in onnx used by org.nd4j.autodiff.functions

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.layers

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.layers.convolution

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.layers.recurrent

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.reduce

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.shape

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.shape.tensorops

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.transforms.clip

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.transforms.custom

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.impl.transforms.strict

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.

Classes in onnx used by org.nd4j.linalg.api.ops.random.impl

Class	Description
Onnx.AttributeProto	Attributes A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values.
Onnx.GraphProto	Graphs A graph defines the computational logic of a model and is comprised of a parameterized list of nodes that form a directed acyclic graph based on their inputs and outputs.
Onnx.NodeProto	Nodes Computation graphs are made up of a DAG of nodes, which represent what is commonly called a "layer" or "pipeline stage" in machine learning frameworks.