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 and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.AttributeProto.AttributeType Note: this enum is structurally identical to the OpSchema::AttrType enum defined in schema.h.
Onnx.AttributeProto.Builder A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.AttributeProtoOrBuilder
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.GraphProto.Builder GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.GraphProtoOrBuilder
Onnx.ModelProto ModelProto is a top-level file/container format for bundling a ML model.
Onnx.ModelProto.Builder ModelProto is a top-level file/container format for bundling a ML model.
Onnx.ModelProtoOrBuilder
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.
Onnx.NodeProto.Builder NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.
Onnx.NodeProtoOrBuilder
Onnx.OperatorSetIdProto OperatorSets are uniquely identified by a (domain, opset_version) pair.
Onnx.OperatorSetIdProto.Builder OperatorSets are uniquely identified by a (domain, opset_version) pair.
Onnx.OperatorSetIdProtoOrBuilder
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.TensorProto A message defined to store a tensor in its serialized format.
Onnx.TensorProto.Builder A message defined to store a tensor in its serialized format.
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.TypeProto Define the types.
Onnx.TypeProto.Builder Define the types.
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 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 A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
OnnxMl.AttributeProto.AttributeType Note: this enum is structurally identical to the OpSchema::AttrType enum defined in schema.h.
OnnxMl.AttributeProto.Builder A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
OnnxMl.AttributeProtoOrBuilder
OnnxMl.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
OnnxMl.GraphProto.Builder GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
OnnxMl.GraphProtoOrBuilder
OnnxMl.ModelProto ModelProto is a top-level file/container format for bundling a ML model.
OnnxMl.ModelProto.Builder ModelProto is a top-level file/container format for bundling a ML model.
OnnxMl.ModelProtoOrBuilder
OnnxMl.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.
OnnxMl.NodeProto.Builder NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.
OnnxMl.NodeProtoOrBuilder
OnnxMl.OperatorSetIdProto OperatorSets are uniquely identified by a (domain, opset_version) pair.
OnnxMl.OperatorSetIdProto.Builder OperatorSets are uniquely identified by a (domain, opset_version) pair.
OnnxMl.OperatorSetIdProtoOrBuilder
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.TensorProto A message defined to store a tensor in its serialized format.
OnnxMl.TensorProto.Builder A message defined to store a tensor in its serialized format.
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.TypeProto Define the types.
OnnxMl.TypeProto.Builder Define the types.
OnnxMl.TypeProto.Map map<K,V>
OnnxMl.TypeProto.Map.Builder map<K,V>
OnnxMl.TypeProto.MapOrBuilder
OnnxMl.TypeProto.Sequence repeated T
OnnxMl.TypeProto.Sequence.Builder repeated T
OnnxMl.TypeProto.SequenceOrBuilder
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 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.OperatorProto.OperatorStatus Protobuf enum onnx.OperatorProto.OperatorStatus
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 and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.

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

Class and Description
Onnx.AttributeProto A named attribute containing either singular float, integer, string and tensor values, or repeated float, integer, string and tensor values.
Onnx.GraphProto GraphProto defines a parameterized series of nodes to form a directed acyclic graph.
Onnx.NodeProto NodeProto stores a node that is similar to the notion of "layer" or "operator" in many deep learning frameworks.