OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.addAllDims(Iterable<? extends Long> values) |
The shape of the underlying dense-tensor: [dim_1, dim_2, ...
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.addDims(long value) |
The shape of the underlying dense-tensor: [dim_1, dim_2, ...
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
Object value) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.GraphProto.Builder.addSparseInitializerBuilder() |
Initializers (see above) stored in sparse format.
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.GraphProto.Builder.addSparseInitializerBuilder(int index) |
Initializers (see above) stored in sparse format.
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.AttributeProto.Builder.addSparseTensorsBuilder() |
list of sparse tensors
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.AttributeProto.Builder.addSparseTensorsBuilder(int index) |
list of sparse tensors
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.clear() |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.clearDims() |
The shape of the underlying dense-tensor: [dim_1, dim_2, ...
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.clearIndices() |
The indices of the non-default values, which may be stored in one of two formats.
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.clearValues() |
The sequence of non-default values are encoded as a tensor of shape [NNZ].
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.clone() |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.GraphProto.Builder.getSparseInitializerBuilder(int index) |
Initializers (see above) stored in sparse format.
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.AttributeProto.Builder.getSparseTensorBuilder() |
sparse tensor value
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.AttributeProto.Builder.getSparseTensorsBuilder(int index) |
list of sparse tensors
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.mergeFrom(OnnxMl.SparseTensorProto other) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.mergeFrom(org.nd4j.shade.protobuf.Message other) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.mergeIndices(OnnxMl.TensorProto value) |
The indices of the non-default values, which may be stored in one of two formats.
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.mergeValues(OnnxMl.TensorProto value) |
The sequence of non-default values are encoded as a tensor of shape [NNZ].
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static OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.newBuilder() |
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static OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.newBuilder(OnnxMl.SparseTensorProto prototype) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.newBuilderForType() |
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protected OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setDims(int index,
long value) |
The shape of the underlying dense-tensor: [dim_1, dim_2, ...
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
Object value) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setIndices(OnnxMl.TensorProto value) |
The indices of the non-default values, which may be stored in one of two formats.
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setIndices(OnnxMl.TensorProto.Builder builderForValue) |
The indices of the non-default values, which may be stored in one of two formats.
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) |
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto value) |
The sequence of non-default values are encoded as a tensor of shape [NNZ].
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.Builder.setValues(OnnxMl.TensorProto.Builder builderForValue) |
The sequence of non-default values are encoded as a tensor of shape [NNZ].
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OnnxMl.SparseTensorProto.Builder |
OnnxMl.SparseTensorProto.toBuilder() |
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