org.tensorflow.framework.GraphDef Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/graph.proto
package org.tensorflow.framework;
/**
*
* Represents the graph of operations
*
*
* Protobuf type {@code tensorflow.GraphDef}
*/
public final class GraphDef extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.GraphDef)
GraphDefOrBuilder {
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// Use GraphDef.newBuilder() to construct.
private GraphDef(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
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version_ = 0;
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private org.tensorflow.framework.VersionDef versions_;
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public boolean hasVersions() {
return versions_ != null;
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/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public org.tensorflow.framework.VersionDef getVersions() {
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/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public org.tensorflow.framework.VersionDefOrBuilder getVersionsOrBuilder() {
return getVersions();
}
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private int version_;
/**
*
* Deprecated single version field; use versions above instead. Since all
* GraphDef changes before "versions" was introduced were forward
* compatible, this field is entirely ignored.
*
*
* int32 version = 3 [deprecated = true];
*/
@java.lang.Deprecated public int getVersion() {
return version_;
}
public static final int LIBRARY_FIELD_NUMBER = 2;
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/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
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* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public boolean hasLibrary() {
return library_ != null;
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public org.tensorflow.framework.FunctionDefLibrary getLibrary() {
return library_ == null ? org.tensorflow.framework.FunctionDefLibrary.getDefaultInstance() : library_;
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.GraphDef parseFrom(
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public static org.tensorflow.framework.GraphDef parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.GraphDef parseFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public Builder newBuilderForType() { return newBuilder(); }
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/**
*
* Represents the graph of operations
*
*
* Protobuf type {@code tensorflow.GraphDef}
*/
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// @@protoc_insertion_point(builder_implements:tensorflow.GraphDef)
org.tensorflow.framework.GraphDefOrBuilder {
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return this;
}
/**
* repeated .tensorflow.NodeDef node = 1;
*/
public Builder removeNode(int index) {
if (nodeBuilder_ == null) {
ensureNodeIsMutable();
node_.remove(index);
onChanged();
} else {
nodeBuilder_.remove(index);
}
return this;
}
/**
* repeated .tensorflow.NodeDef node = 1;
*/
public org.tensorflow.framework.NodeDef.Builder getNodeBuilder(
int index) {
return getNodeFieldBuilder().getBuilder(index);
}
/**
* repeated .tensorflow.NodeDef node = 1;
*/
public org.tensorflow.framework.NodeDefOrBuilder getNodeOrBuilder(
int index) {
if (nodeBuilder_ == null) {
return node_.get(index); } else {
return nodeBuilder_.getMessageOrBuilder(index);
}
}
/**
* repeated .tensorflow.NodeDef node = 1;
*/
public java.util.List
getNodeOrBuilderList() {
if (nodeBuilder_ != null) {
return nodeBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(node_);
}
}
/**
* repeated .tensorflow.NodeDef node = 1;
*/
public org.tensorflow.framework.NodeDef.Builder addNodeBuilder() {
return getNodeFieldBuilder().addBuilder(
org.tensorflow.framework.NodeDef.getDefaultInstance());
}
/**
* repeated .tensorflow.NodeDef node = 1;
*/
public org.tensorflow.framework.NodeDef.Builder addNodeBuilder(
int index) {
return getNodeFieldBuilder().addBuilder(
index, org.tensorflow.framework.NodeDef.getDefaultInstance());
}
/**
* repeated .tensorflow.NodeDef node = 1;
*/
public java.util.List
getNodeBuilderList() {
return getNodeFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.NodeDef, org.tensorflow.framework.NodeDef.Builder, org.tensorflow.framework.NodeDefOrBuilder>
getNodeFieldBuilder() {
if (nodeBuilder_ == null) {
nodeBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.NodeDef, org.tensorflow.framework.NodeDef.Builder, org.tensorflow.framework.NodeDefOrBuilder>(
node_,
((bitField0_ & 0x00000001) == 0x00000001),
getParentForChildren(),
isClean());
node_ = null;
}
return nodeBuilder_;
}
private org.tensorflow.framework.VersionDef versions_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.VersionDef, org.tensorflow.framework.VersionDef.Builder, org.tensorflow.framework.VersionDefOrBuilder> versionsBuilder_;
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public boolean hasVersions() {
return versionsBuilder_ != null || versions_ != null;
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public org.tensorflow.framework.VersionDef getVersions() {
if (versionsBuilder_ == null) {
return versions_ == null ? org.tensorflow.framework.VersionDef.getDefaultInstance() : versions_;
} else {
return versionsBuilder_.getMessage();
}
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public Builder setVersions(org.tensorflow.framework.VersionDef value) {
if (versionsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
versions_ = value;
onChanged();
} else {
versionsBuilder_.setMessage(value);
}
return this;
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public Builder setVersions(
org.tensorflow.framework.VersionDef.Builder builderForValue) {
if (versionsBuilder_ == null) {
versions_ = builderForValue.build();
onChanged();
} else {
versionsBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public Builder mergeVersions(org.tensorflow.framework.VersionDef value) {
if (versionsBuilder_ == null) {
if (versions_ != null) {
versions_ =
org.tensorflow.framework.VersionDef.newBuilder(versions_).mergeFrom(value).buildPartial();
} else {
versions_ = value;
}
onChanged();
} else {
versionsBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public Builder clearVersions() {
if (versionsBuilder_ == null) {
versions_ = null;
onChanged();
} else {
versions_ = null;
versionsBuilder_ = null;
}
return this;
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public org.tensorflow.framework.VersionDef.Builder getVersionsBuilder() {
onChanged();
return getVersionsFieldBuilder().getBuilder();
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
public org.tensorflow.framework.VersionDefOrBuilder getVersionsOrBuilder() {
if (versionsBuilder_ != null) {
return versionsBuilder_.getMessageOrBuilder();
} else {
return versions_ == null ?
org.tensorflow.framework.VersionDef.getDefaultInstance() : versions_;
}
}
/**
*
* Compatibility versions of the graph. See core/public/version.h for version
* history. The GraphDef version is distinct from the TensorFlow version, and
* each release of TensorFlow will support a range of GraphDef versions.
*
*
* .tensorflow.VersionDef versions = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.VersionDef, org.tensorflow.framework.VersionDef.Builder, org.tensorflow.framework.VersionDefOrBuilder>
getVersionsFieldBuilder() {
if (versionsBuilder_ == null) {
versionsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.VersionDef, org.tensorflow.framework.VersionDef.Builder, org.tensorflow.framework.VersionDefOrBuilder>(
getVersions(),
getParentForChildren(),
isClean());
versions_ = null;
}
return versionsBuilder_;
}
private int version_ ;
/**
*
* Deprecated single version field; use versions above instead. Since all
* GraphDef changes before "versions" was introduced were forward
* compatible, this field is entirely ignored.
*
*
* int32 version = 3 [deprecated = true];
*/
@java.lang.Deprecated public int getVersion() {
return version_;
}
/**
*
* Deprecated single version field; use versions above instead. Since all
* GraphDef changes before "versions" was introduced were forward
* compatible, this field is entirely ignored.
*
*
* int32 version = 3 [deprecated = true];
*/
@java.lang.Deprecated public Builder setVersion(int value) {
version_ = value;
onChanged();
return this;
}
/**
*
* Deprecated single version field; use versions above instead. Since all
* GraphDef changes before "versions" was introduced were forward
* compatible, this field is entirely ignored.
*
*
* int32 version = 3 [deprecated = true];
*/
@java.lang.Deprecated public Builder clearVersion() {
version_ = 0;
onChanged();
return this;
}
private org.tensorflow.framework.FunctionDefLibrary library_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.FunctionDefLibrary, org.tensorflow.framework.FunctionDefLibrary.Builder, org.tensorflow.framework.FunctionDefLibraryOrBuilder> libraryBuilder_;
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public boolean hasLibrary() {
return libraryBuilder_ != null || library_ != null;
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public org.tensorflow.framework.FunctionDefLibrary getLibrary() {
if (libraryBuilder_ == null) {
return library_ == null ? org.tensorflow.framework.FunctionDefLibrary.getDefaultInstance() : library_;
} else {
return libraryBuilder_.getMessage();
}
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public Builder setLibrary(org.tensorflow.framework.FunctionDefLibrary value) {
if (libraryBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
library_ = value;
onChanged();
} else {
libraryBuilder_.setMessage(value);
}
return this;
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public Builder setLibrary(
org.tensorflow.framework.FunctionDefLibrary.Builder builderForValue) {
if (libraryBuilder_ == null) {
library_ = builderForValue.build();
onChanged();
} else {
libraryBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public Builder mergeLibrary(org.tensorflow.framework.FunctionDefLibrary value) {
if (libraryBuilder_ == null) {
if (library_ != null) {
library_ =
org.tensorflow.framework.FunctionDefLibrary.newBuilder(library_).mergeFrom(value).buildPartial();
} else {
library_ = value;
}
onChanged();
} else {
libraryBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public Builder clearLibrary() {
if (libraryBuilder_ == null) {
library_ = null;
onChanged();
} else {
library_ = null;
libraryBuilder_ = null;
}
return this;
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public org.tensorflow.framework.FunctionDefLibrary.Builder getLibraryBuilder() {
onChanged();
return getLibraryFieldBuilder().getBuilder();
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
public org.tensorflow.framework.FunctionDefLibraryOrBuilder getLibraryOrBuilder() {
if (libraryBuilder_ != null) {
return libraryBuilder_.getMessageOrBuilder();
} else {
return library_ == null ?
org.tensorflow.framework.FunctionDefLibrary.getDefaultInstance() : library_;
}
}
/**
*
* EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
* "library" provides user-defined functions.
* Naming:
* * library.function.name are in a flat namespace.
* NOTE: We may need to change it to be hierarchical to support
* different orgs. E.g.,
* { "/google/nn", { ... }},
* { "/google/vision", { ... }}
* { "/org_foo/module_bar", { ... }}
* map<string, FunctionDefLib> named_lib;
* * If node[i].op is the name of one function in "library",
* node[i] is deemed as a function call. Otherwise, node[i].op
* must be a primitive operation supported by the runtime.
* Function call semantics:
* * The callee may start execution as soon as some of its inputs
* are ready. The caller may want to use Tuple() mechanism to
* ensure all inputs are ready in the same time.
* * The consumer of return values may start executing as soon as
* the return values the consumer depends on are ready. The
* consumer may want to use Tuple() mechanism to ensure the
* consumer does not start until all return values of the callee
* function are ready.
*
*
* .tensorflow.FunctionDefLibrary library = 2;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.FunctionDefLibrary, org.tensorflow.framework.FunctionDefLibrary.Builder, org.tensorflow.framework.FunctionDefLibraryOrBuilder>
getLibraryFieldBuilder() {
if (libraryBuilder_ == null) {
libraryBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.FunctionDefLibrary, org.tensorflow.framework.FunctionDefLibrary.Builder, org.tensorflow.framework.FunctionDefLibraryOrBuilder>(
getLibrary(),
getParentForChildren(),
isClean());
library_ = null;
}
return libraryBuilder_;
}
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.GraphDef)
}
// @@protoc_insertion_point(class_scope:tensorflow.GraphDef)
private static final org.tensorflow.framework.GraphDef DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.GraphDef();
}
public static org.tensorflow.framework.GraphDef getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
public GraphDef parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new GraphDef(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.framework.GraphDef getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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