Uses of Class
org.tensorflow.proto.TensorProto
Packages that use TensorProto
Package
Description
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Uses of TensorProto in org.tensorflow.proto
Methods in org.tensorflow.proto that return TensorProtoModifier and TypeMethodDescriptionTensorProto.Builder.build()TensorProto.Builder.buildPartial()SavedSlice.Builder.getData()The raw data of the slice is stored as a TensorProto.SavedSlice.getData()The raw data of the slice is stored as a TensorProto.SavedSliceOrBuilder.getData()The raw data of the slice is stored as a TensorProto.static TensorProtoTensorProto.getDefaultInstance()TensorProto.Builder.getDefaultInstanceForType()TensorProto.getDefaultInstanceForType()SignatureDef.Builder.getDefaultsOrDefault(String key, TensorProto defaultValue) Named input to corresponding default values if any.SignatureDef.getDefaultsOrDefault(String key, TensorProto defaultValue) Named input to corresponding default values if any.SignatureDefOrBuilder.getDefaultsOrDefault(String key, TensorProto defaultValue) Named input to corresponding default values if any.SignatureDef.Builder.getDefaultsOrThrow(String key) Named input to corresponding default values if any.SignatureDef.getDefaultsOrThrow(String key) Named input to corresponding default values if any.SignatureDefOrBuilder.getDefaultsOrThrow(String key) Named input to corresponding default values if any.FixedLenFeatureProto.Builder.getDefaultValue().tensorflow.TensorProto default_value = 3;FixedLenFeatureProto.getDefaultValue().tensorflow.TensorProto default_value = 3;FixedLenFeatureProtoOrBuilder.getDefaultValue().tensorflow.TensorProto default_value = 3;Struct.BoundedTensorSpecProto.Builder.getMaximum().tensorflow.TensorProto maximum = 5;Struct.BoundedTensorSpecProto.getMaximum().tensorflow.TensorProto maximum = 5;Struct.BoundedTensorSpecProtoOrBuilder.getMaximum().tensorflow.TensorProto maximum = 5;Struct.BoundedTensorSpecProto.Builder.getMinimum().tensorflow.TensorProto minimum = 4;Struct.BoundedTensorSpecProto.getMinimum().tensorflow.TensorProto minimum = 4;Struct.BoundedTensorSpecProtoOrBuilder.getMinimum().tensorflow.TensorProto minimum = 4;Struct.StructuredValue.Builder.getNumpyValue()Represents a value for np.ndarray.Struct.StructuredValue.getNumpyValue()Represents a value for np.ndarray.Struct.StructuredValueOrBuilder.getNumpyValue()Represents a value for np.ndarray.AttrValue.Builder.getTensor()"tensor"AttrValue.getTensor()"tensor"AttrValue.ListValue.Builder.getTensor(int index) "list(tensor)"AttrValue.ListValue.getTensor(int index) "list(tensor)"AttrValue.ListValueOrBuilder.getTensor(int index) "list(tensor)"AttrValueOrBuilder.getTensor()"tensor"NamedTensorProto.Builder.getTensor()The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.NamedTensorProto.getTensor()The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.NamedTensorProtoOrBuilder.getTensor()The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.Summary.Value.Builder.getTensor().tensorflow.TensorProto tensor = 8;Summary.Value.getTensor().tensorflow.TensorProto tensor = 8;Summary.ValueOrBuilder.getTensor().tensorflow.TensorProto tensor = 8;GraphExecutionTrace.Builder.getTensorProto()Tensor value in the type described by `tensor_value_type`.GraphExecutionTrace.getTensorProto()Tensor value in the type described by `tensor_value_type`.GraphExecutionTraceOrBuilder.getTensorProto()Tensor value in the type described by `tensor_value_type`.Execution.Builder.getTensorProtos(int index) Output Tensor values in the type described by `tensor_value_type`.Execution.getTensorProtos(int index) Output Tensor values in the type described by `tensor_value_type`.ExecutionOrBuilder.getTensorProtos(int index) Output Tensor values in the type described by `tensor_value_type`.VariantTensorDataProto.Builder.getTensors(int index) Tensors contained within objects being serialized.VariantTensorDataProto.getTensors(int index) Tensors contained within objects being serialized.VariantTensorDataProtoOrBuilder.getTensors(int index) Tensors contained within objects being serialized.Struct.StructuredValue.Builder.getTensorValue()Represents a value for tf.Tensor.Struct.StructuredValue.getTensorValue()Represents a value for tf.Tensor.Struct.StructuredValueOrBuilder.getTensorValue()Represents a value for tf.Tensor.OpPerformanceData.OpInfo.TensorProperties.Builder.getValue().tensorflow.TensorProto value = 3;OpPerformanceData.OpInfo.TensorProperties.getValue().tensorflow.TensorProto value = 3;OpPerformanceData.OpInfo.TensorPropertiesOrBuilder.getValue().tensorflow.TensorProto value = 3;static TensorProtoTensorProto.parseDelimitedFrom(InputStream input) static TensorProtoTensorProto.parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static TensorProtoTensorProto.parseFrom(byte[] data) static TensorProtoTensorProto.parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry) static TensorProtoTensorProto.parseFrom(ByteString data) static TensorProtoTensorProto.parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry) static TensorProtoTensorProto.parseFrom(CodedInputStream input) static TensorProtoTensorProto.parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) static TensorProtoTensorProto.parseFrom(InputStream input) static TensorProtoTensorProto.parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static TensorProtoTensorProto.parseFrom(ByteBuffer data) static TensorProtoTensorProto.parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry) Methods in org.tensorflow.proto that return types with arguments of type TensorProtoModifier and TypeMethodDescriptionSignatureDef.Builder.getDefaults()Deprecated.SignatureDef.getDefaults()Deprecated.SignatureDefOrBuilder.getDefaults()Deprecated.SignatureDef.Builder.getDefaultsMap()Named input to corresponding default values if any.SignatureDef.getDefaultsMap()Named input to corresponding default values if any.SignatureDefOrBuilder.getDefaultsMap()Named input to corresponding default values if any.SignatureDef.Builder.getMutableDefaults()Deprecated.TensorProto.getParserForType()AttrValue.ListValue.Builder.getTensorList()"list(tensor)"AttrValue.ListValue.getTensorList()"list(tensor)"AttrValue.ListValueOrBuilder.getTensorList()"list(tensor)"Execution.Builder.getTensorProtosList()Output Tensor values in the type described by `tensor_value_type`.Execution.getTensorProtosList()Output Tensor values in the type described by `tensor_value_type`.ExecutionOrBuilder.getTensorProtosList()Output Tensor values in the type described by `tensor_value_type`.VariantTensorDataProto.Builder.getTensorsList()Tensors contained within objects being serialized.VariantTensorDataProto.getTensorsList()Tensors contained within objects being serialized.VariantTensorDataProtoOrBuilder.getTensorsList()Tensors contained within objects being serialized.static Parser<TensorProto> TensorProto.parser()Methods in org.tensorflow.proto with parameters of type TensorProtoModifier and TypeMethodDescriptionAttrValue.ListValue.Builder.addTensor(int index, TensorProto value) "list(tensor)"AttrValue.ListValue.Builder.addTensor(TensorProto value) "list(tensor)"Execution.Builder.addTensorProtos(int index, TensorProto value) Output Tensor values in the type described by `tensor_value_type`.Execution.Builder.addTensorProtos(TensorProto value) Output Tensor values in the type described by `tensor_value_type`.VariantTensorDataProto.Builder.addTensors(int index, TensorProto value) Tensors contained within objects being serialized.VariantTensorDataProto.Builder.addTensors(TensorProto value) Tensors contained within objects being serialized.SignatureDef.Builder.getDefaultsOrDefault(String key, TensorProto defaultValue) Named input to corresponding default values if any.SignatureDef.getDefaultsOrDefault(String key, TensorProto defaultValue) Named input to corresponding default values if any.SignatureDefOrBuilder.getDefaultsOrDefault(String key, TensorProto defaultValue) Named input to corresponding default values if any.SavedSlice.Builder.mergeData(TensorProto value) The raw data of the slice is stored as a TensorProto.FixedLenFeatureProto.Builder.mergeDefaultValue(TensorProto value) .tensorflow.TensorProto default_value = 3;TensorProto.Builder.mergeFrom(TensorProto other) Struct.BoundedTensorSpecProto.Builder.mergeMaximum(TensorProto value) .tensorflow.TensorProto maximum = 5;Struct.BoundedTensorSpecProto.Builder.mergeMinimum(TensorProto value) .tensorflow.TensorProto minimum = 4;Struct.StructuredValue.Builder.mergeNumpyValue(TensorProto value) Represents a value for np.ndarray.AttrValue.Builder.mergeTensor(TensorProto value) "tensor"NamedTensorProto.Builder.mergeTensor(TensorProto value) The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.Summary.Value.Builder.mergeTensor(TensorProto value) .tensorflow.TensorProto tensor = 8;GraphExecutionTrace.Builder.mergeTensorProto(TensorProto value) Tensor value in the type described by `tensor_value_type`.Struct.StructuredValue.Builder.mergeTensorValue(TensorProto value) Represents a value for tf.Tensor.OpPerformanceData.OpInfo.TensorProperties.Builder.mergeValue(TensorProto value) .tensorflow.TensorProto value = 3;static TensorProto.BuilderTensorProto.newBuilder(TensorProto prototype) SignatureDef.Builder.putDefaults(String key, TensorProto value) Named input to corresponding default values if any.SavedSlice.Builder.setData(TensorProto value) The raw data of the slice is stored as a TensorProto.FixedLenFeatureProto.Builder.setDefaultValue(TensorProto value) .tensorflow.TensorProto default_value = 3;Struct.BoundedTensorSpecProto.Builder.setMaximum(TensorProto value) .tensorflow.TensorProto maximum = 5;Struct.BoundedTensorSpecProto.Builder.setMinimum(TensorProto value) .tensorflow.TensorProto minimum = 4;Struct.StructuredValue.Builder.setNumpyValue(TensorProto value) Represents a value for np.ndarray.AttrValue.Builder.setTensor(TensorProto value) "tensor"AttrValue.ListValue.Builder.setTensor(int index, TensorProto value) "list(tensor)"NamedTensorProto.Builder.setTensor(TensorProto value) The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors.Summary.Value.Builder.setTensor(TensorProto value) .tensorflow.TensorProto tensor = 8;GraphExecutionTrace.Builder.setTensorProto(TensorProto value) Tensor value in the type described by `tensor_value_type`.Execution.Builder.setTensorProtos(int index, TensorProto value) Output Tensor values in the type described by `tensor_value_type`.VariantTensorDataProto.Builder.setTensors(int index, TensorProto value) Tensors contained within objects being serialized.Struct.StructuredValue.Builder.setTensorValue(TensorProto value) Represents a value for tf.Tensor.OpPerformanceData.OpInfo.TensorProperties.Builder.setValue(TensorProto value) .tensorflow.TensorProto value = 3;Method parameters in org.tensorflow.proto with type arguments of type TensorProtoModifier and TypeMethodDescriptionAttrValue.ListValue.Builder.addAllTensor(Iterable<? extends TensorProto> values) "list(tensor)"Execution.Builder.addAllTensorProtos(Iterable<? extends TensorProto> values) Output Tensor values in the type described by `tensor_value_type`.VariantTensorDataProto.Builder.addAllTensors(Iterable<? extends TensorProto> values) Tensors contained within objects being serialized.SignatureDef.Builder.putAllDefaults(Map<String, TensorProto> values) Named input to corresponding default values if any. -
Uses of TensorProto in org.tensorflow.proto.data
Methods in org.tensorflow.proto.data that return TensorProtoModifier and TypeMethodDescriptionDataset.UncompressedElement.Builder.getComponents(int index) repeated .tensorflow.TensorProto components = 1;Dataset.UncompressedElement.getComponents(int index) repeated .tensorflow.TensorProto components = 1;Dataset.UncompressedElementOrBuilder.getComponents(int index) repeated .tensorflow.TensorProto components = 1;Methods in org.tensorflow.proto.data that return types with arguments of type TensorProtoModifier and TypeMethodDescriptionDataset.UncompressedElement.Builder.getComponentsList()repeated .tensorflow.TensorProto components = 1;Dataset.UncompressedElement.getComponentsList()repeated .tensorflow.TensorProto components = 1;Dataset.UncompressedElementOrBuilder.getComponentsList()repeated .tensorflow.TensorProto components = 1;Methods in org.tensorflow.proto.data with parameters of type TensorProtoModifier and TypeMethodDescriptionDataset.UncompressedElement.Builder.addComponents(int index, TensorProto value) repeated .tensorflow.TensorProto components = 1;Dataset.UncompressedElement.Builder.addComponents(TensorProto value) repeated .tensorflow.TensorProto components = 1;Dataset.UncompressedElement.Builder.setComponents(int index, TensorProto value) repeated .tensorflow.TensorProto components = 1;Method parameters in org.tensorflow.proto.data with type arguments of type TensorProtoModifier and TypeMethodDescriptionDataset.UncompressedElement.Builder.addAllComponents(Iterable<? extends TensorProto> values) repeated .tensorflow.TensorProto components = 1; -
Uses of TensorProto in org.tensorflow.proto.data.experimental
Methods in org.tensorflow.proto.data.experimental that return TensorProtoModifier and TypeMethodDescriptionSnapshot.SnapshotRecord.Builder.getTensor(int index) repeated .tensorflow.TensorProto tensor = 1;Snapshot.SnapshotRecord.getTensor(int index) repeated .tensorflow.TensorProto tensor = 1;Snapshot.SnapshotRecordOrBuilder.getTensor(int index) repeated .tensorflow.TensorProto tensor = 1;Methods in org.tensorflow.proto.data.experimental that return types with arguments of type TensorProtoModifier and TypeMethodDescriptionSnapshot.SnapshotRecord.Builder.getTensorList()repeated .tensorflow.TensorProto tensor = 1;Snapshot.SnapshotRecord.getTensorList()repeated .tensorflow.TensorProto tensor = 1;Snapshot.SnapshotRecordOrBuilder.getTensorList()repeated .tensorflow.TensorProto tensor = 1;Methods in org.tensorflow.proto.data.experimental with parameters of type TensorProtoModifier and TypeMethodDescriptionSnapshot.SnapshotRecord.Builder.addTensor(int index, TensorProto value) repeated .tensorflow.TensorProto tensor = 1;Snapshot.SnapshotRecord.Builder.addTensor(TensorProto value) repeated .tensorflow.TensorProto tensor = 1;Snapshot.SnapshotRecord.Builder.setTensor(int index, TensorProto value) repeated .tensorflow.TensorProto tensor = 1;Method parameters in org.tensorflow.proto.data.experimental with type arguments of type TensorProtoModifier and TypeMethodDescriptionSnapshot.SnapshotRecord.Builder.addAllTensor(Iterable<? extends TensorProto> values) repeated .tensorflow.TensorProto tensor = 1;