// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/struct.proto
package org.tensorflow.proto;
public final class Struct {
private Struct() {}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(com.google.protobuf.ExtensionRegistryLite) registry);
}
public interface StructuredValueOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.StructuredValue)
com.google.protobuf.MessageOrBuilder {
/**
* <pre>
* Represents None.
* </pre>
*
* <code>.tensorflow.NoneValue none_value = 1;</code>
* @return Whether the noneValue field is set.
*/
boolean hasNoneValue();
/**
* <pre>
* Represents None.
* </pre>
*
* <code>.tensorflow.NoneValue none_value = 1;</code>
* @return The noneValue.
*/
org.tensorflow.proto.Struct.NoneValue getNoneValue();
/**
* <pre>
* Represents None.
* </pre>
*
* <code>.tensorflow.NoneValue none_value = 1;</code>
*/
org.tensorflow.proto.Struct.NoneValueOrBuilder getNoneValueOrBuilder();
/**
* <pre>
* Represents a double-precision floating-point value (a Python `float`).
* </pre>
*
* <code>double float64_value = 11;</code>
* @return Whether the float64Value field is set.
*/
boolean hasFloat64Value();
/**
* <pre>
* Represents a double-precision floating-point value (a Python `float`).
* </pre>
*
* <code>double float64_value = 11;</code>
* @return The float64Value.
*/
double getFloat64Value();
/**
* <pre>
* Represents a signed integer value, limited to 64 bits.
* Larger values from Python's arbitrary-precision integers are unsupported.
* </pre>
*
* <code>sint64 int64_value = 12;</code>
* @return Whether the int64Value field is set.
*/
boolean hasInt64Value();
/**
* <pre>
* Represents a signed integer value, limited to 64 bits.
* Larger values from Python's arbitrary-precision integers are unsupported.
* </pre>
*
* <code>sint64 int64_value = 12;</code>
* @return The int64Value.
*/
long getInt64Value();
/**
* <pre>
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
* </pre>
*
* <code>string string_value = 13;</code>
* @return Whether the stringValue field is set.
*/
boolean hasStringValue();
/**
* <pre>
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
* </pre>
*
* <code>string string_value = 13;</code>
* @return The stringValue.
*/
java.lang.String getStringValue();
/**
* <pre>
* Represents a string of Unicode characters stored in a Python `str`.
* In Python 3, this is exactly what type `str` is.
* In Python 2, this is the UTF-8 encoding of the characters.
* For strings with ASCII characters only (as often used in TensorFlow code)
* there is effectively no difference between the language versions.
* The obsolescent `unicode` type of Python 2 is not supported here.
* </pre>
*
* <code>string string_value = 13;</code>
* @return The bytes for stringValue.
*/
com.google.protobuf.ByteString
getStringValueBytes();
/**
* <pre>
* Represents a boolean value.
* </pre>
*
* <code>bool bool_value = 14;</code>
* @return Whether the boolValue field is set.
*/
boolean hasBoolValue();
/**
* <pre>
* Represents a boolean value.
* </pre>
*
* <code>bool bool_value = 14;</code>
* @return The boolValue.
*/
boolean getBoolValue();
/**
* <pre>
* Represents a TensorShape.
* </pre>
*
* <code>.tensorflow.TensorShapeProto tensor_shape_value = 31;</code>
* @return Whether the tensorShapeValue field is set.
*/
boolean hasTensorShapeValue();
/**
* <pre>
* Represents a TensorShape.
* </pre>
*
* <code>.tensorflow.TensorShapeProto tensor_shape_value = 31;</code>
* @return The tensorShapeValue.
*/
org.tensorflow.proto.TensorShapeProto getTensorShapeValue();
/**
* <pre>
* Represents a TensorShape.
* </pre>
*
* <code>.tensorflow.TensorShapeProto tensor_shape_value = 31;</code>
*/
org.tensorflow.proto.TensorShapeProtoOrBuilder getTensorShapeValueOrBuilder();
/**
* <pre>
* Represents an enum value for dtype.
* </pre>
*
* <code>.tensorflow.DataType tensor_dtype_value = 32;</code>
* @return Whether the tensorDtypeValue field is set.
*/
boolean hasTensorDtypeValue();
/**
* <pre>
* Represents an enum value for dtype.
* </pre>
*
* <code>.tensorflow.DataType tensor_dtype_value = 32;</code>
* @return The enum numeric value on the wire for tensorDtypeValue.
*/
int getTensorDtypeValueValue();
/**
* <pre>
* Represents an enum value for dtype.
* </pre>
*
* <code>.tensorflow.DataType tensor_dtype_value = 32;</code>
* @return The tensorDtypeValue.
*/
org.tensorflow.proto.DataType getTensorDtypeValue();
/**
* <pre>
* Represents a value for tf.TensorSpec.
* </pre>
*
* <code>.tensorflow.TensorSpecProto tensor_spec_value = 33;</code>
* @return Whether the tensorSpecValue field is set.
*/
boolean hasTensorSpecValue();
/**
* <pre>
* Represents a value for tf.TensorSpec.
* </pre>
*
* <code>.tensorflow.TensorSpecProto tensor_spec_value = 33;</code>
* @return The tensorSpecValue.
*/
org.tensorflow.proto.Struct.TensorSpecProto getTensorSpecValue();
/**
* <pre>
* Represents a value for tf.TensorSpec.
* </pre>
*
* <code>.tensorflow.TensorSpecProto tensor_spec_value = 33;</code>
*/
org.tensorflow.proto.Struct.TensorSpecProtoOrBuilder getTensorSpecValueOrBuilder();
/**
* <pre>
* Represents a value for tf.TypeSpec.
* </pre>
*
* <code>.tensorflow.TypeSpecProto type_spec_value = 34;</code>
* @return Whether the typeSpecValue field is set.
*/
boolean hasTypeSpecValue();
/**
* <pre>
* Represents a value for tf.TypeSpec.
* </pre>
*
* <code>.tensorflow.TypeSpecProto type_spec_value = 34;</code>
* @return The typeSpecValue.
*/
org.tensorflow.proto.Struct.TypeSpecProto getTypeSpecValue();
/**
* <pre>
* Represents a value for tf.TypeSpec.
* </pre>
*
* <code>.tensorflow.TypeSpecProto type_spec_value = 34;</code>
*/
org.tensorflow.proto.Struct.TypeSpecProtoOrBuilder getTypeSpecValueOrBuilder();
/**
* <pre>
* Represents a value for tf.BoundedTensorSpec.
* </pre>
*
* <code>.tensorflow.BoundedTensorSpecProto bounded_tensor_spec_value = 35;</code>
* @return Whether the boundedTensorSpecValue field is set.
*/
boolean hasBoundedTensorSpecValue();
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TensorFlow 的 Java 绑定.zip
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TensorFlow 的 Java 绑定适用于 Java 的 TensorFlow欢迎来到 TensorFlow 的 Java 世界!TensorFlow 可以在任何 JVM 上运行,用于构建、训练和运行机器学习模型。它附带一系列实用程序和框架,可帮助完成数据科学家和开发人员在此领域工作的大多数常见任务。Java 和其他 JVM 语言(例如 Scala 或 Kotlin)在世界各地的中小型企业中被广泛使用,这使得 TensorFlow 成为大规模采用机器学习的战略选择。此存储库早期,TensorFlow 的 Java 语言绑定托管在主存储库中 ,只有当核心库的新版本准备好发布时才会发布,这种情况每年只发生几次。现在,所有与 Java 相关的代码都已移至此存储库,以便它可以独立于官方 TensorFlow 版本进行发展和发布。此外,大多数构建任务已从 Bazel 迁移到 Maven,这对大多数 Java 开发人员来说更为熟悉。下面描述了存储库及其不同工件的布局tensorflow-core构建 TensorFlow for Java 核心语言绑定的所有工件目
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TensorFlow 的 Java 绑定.zip (2000个子文件)
tfj_scope.h 2KB
tfj_gradients.h 2KB
tfj_graph.h 1KB
Struct.java 428KB
Ops.java 397KB
DatasetOptions.java 321KB
tensorflow.java 266KB
Model.java 219KB
ApiDef.java 206KB
NnOps.java 174KB
BfcMemoryMap.java 170KB
Snapshot.java 165KB
AttrValue.java 161KB
ServiceConfig.java 156KB
TensorProto.java 127KB
FunctionDef.java 114KB
DataOps.java 114KB
MathOps.java 112KB
Dataset.java 111KB
DataService.java 109KB
TpuOps.java 101KB
TrainOps.java 98KB
DebugEvent.java 90KB
LinalgOps.java 85KB
SparseOps.java 81KB
OptimizedFunctionGraphOuterClass.java 79KB
ResourceHandleProto.java 75KB
Event.java 73KB
Execution.java 73KB
TensorShapeProto.java 64KB
ImageOps.java 63KB
RandomOps.java 61KB
GraphOpCreation.java 59KB
MemmappedFileSystem.java 58KB
TensorSliceProto.java 53KB
QuantizationOps.java 52KB
IoOps.java 49KB
RemoteTensorHandle.java 48KB
Constant.java 47KB
Graph.java 46KB
SaverDef.java 43KB
DeviceAttributes.java 41KB
DebuggedGraph.java 41KB
SavedSliceMeta.java 40KB
MetricsHelper.java 40KB
AUC.java 40KB
CPUInfo.java 38KB
PlatformInfo.java 38KB
StringsOps.java 38KB
UniformQuantizedConvolution.java 37KB
GraphTestSession.java 37KB
DataExperimentalOps.java 37KB
ClassGenerator.java 36KB
SaveSliceInfoDef.java 36KB
SavedTensorSliceMeta.java 35KB
VariantTensorDataProto.java 34KB
FixedLenFeatureProto.java 33KB
MetricEntry.java 33KB
XlaOps.java 32KB
FingerprintDef.java 31KB
Session.java 30KB
Losses.java 30KB
JobDef.java 30KB
TensorDot.java 30KB
OperatorProcessor.java 29KB
ParseSequenceExample.java 29KB
MemoryLogRawDeallocation.java 29KB
DebugMetadata.java 29KB
GraphTransferConstNodeInfo.java 29KB
SessionLog.java 28KB
MemoryLogTensorAllocation.java 27KB
ND.java 27KB
StackFrameWithId.java 27KB
UniformQuantizedConvolutionHybrid.java 27KB
EagerTestSession.java 27KB
NameAttrList.java 27KB
CompositeTensorVariant.java 26KB
GraphTransferGraphOutputNodeInfo.java 26KB
ParseSingleSequenceExample.java 25KB
ClusterDeviceFilters.java 25KB
RaggedOps.java 25KB
FeatureList.java 25KB
StepStats.java 25KB
VersionDef.java 25KB
SignalOps.java 24KB
KernelList.java 24KB
FeatureLists.java 24KB
TensorConnection.java 24KB
ApiDefs.java 23KB
MathOps.java 23KB
ShapesTest.java 23KB
ConcreteFunction.java 22KB
ResourceDtypeAndShape.java 22KB
BatchFunction.java 22KB
GraphOperationBuilder.java 22KB
SavedModelBundle.java 22KB
LinalgSparseOps.java 22KB
MathOpsTest.java 22KB
GraphTransferNodeOutputInfo.java 21KB
StatusProto.java 21KB
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