public static final class GraphDef.Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder> implements GraphDefOrBuilder
Represents the graph of operationsProtobuf type
tensorflow.GraphDef| Modifier and Type | Method and Description |
|---|---|
GraphDef.Builder |
addAllNode(Iterable<? extends NodeDef> values)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
addNode(int index,
NodeDef.Builder builderForValue)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
addNode(int index,
NodeDef value)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
addNode(NodeDef.Builder builderForValue)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
addNode(NodeDef value)
repeated .tensorflow.NodeDef node = 1; |
NodeDef.Builder |
addNodeBuilder()
repeated .tensorflow.NodeDef node = 1; |
NodeDef.Builder |
addNodeBuilder(int index)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
Object value) |
GraphDef |
build() |
GraphDef |
buildPartial() |
GraphDef.Builder |
clear() |
GraphDef.Builder |
clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) |
GraphDef.Builder |
clearLibrary()
EXPERIMENTAL.
|
GraphDef.Builder |
clearNode()
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) |
GraphDef.Builder |
clearVersion()
Deprecated.
|
GraphDef.Builder |
clearVersions()
Compatibility versions of the graph.
|
GraphDef.Builder |
clone() |
GraphDef |
getDefaultInstanceForType() |
static org.nd4j.shade.protobuf.Descriptors.Descriptor |
getDescriptor() |
org.nd4j.shade.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
FunctionDefLibrary |
getLibrary()
EXPERIMENTAL.
|
FunctionDefLibrary.Builder |
getLibraryBuilder()
EXPERIMENTAL.
|
FunctionDefLibraryOrBuilder |
getLibraryOrBuilder()
EXPERIMENTAL.
|
NodeDef |
getNode(int index)
repeated .tensorflow.NodeDef node = 1; |
NodeDef.Builder |
getNodeBuilder(int index)
repeated .tensorflow.NodeDef node = 1; |
List<NodeDef.Builder> |
getNodeBuilderList()
repeated .tensorflow.NodeDef node = 1; |
int |
getNodeCount()
repeated .tensorflow.NodeDef node = 1; |
List<NodeDef> |
getNodeList()
repeated .tensorflow.NodeDef node = 1; |
NodeDefOrBuilder |
getNodeOrBuilder(int index)
repeated .tensorflow.NodeDef node = 1; |
List<? extends NodeDefOrBuilder> |
getNodeOrBuilderList()
repeated .tensorflow.NodeDef node = 1; |
int |
getVersion()
Deprecated.
|
VersionDef |
getVersions()
Compatibility versions of the graph.
|
VersionDef.Builder |
getVersionsBuilder()
Compatibility versions of the graph.
|
VersionDefOrBuilder |
getVersionsOrBuilder()
Compatibility versions of the graph.
|
boolean |
hasLibrary()
EXPERIMENTAL.
|
boolean |
hasVersions()
Compatibility versions of the graph.
|
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
GraphDef.Builder |
mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
GraphDef.Builder |
mergeFrom(GraphDef other) |
GraphDef.Builder |
mergeFrom(org.nd4j.shade.protobuf.Message other) |
GraphDef.Builder |
mergeLibrary(FunctionDefLibrary value)
EXPERIMENTAL.
|
GraphDef.Builder |
mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) |
GraphDef.Builder |
mergeVersions(VersionDef value)
Compatibility versions of the graph.
|
GraphDef.Builder |
removeNode(int index)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
Object value) |
GraphDef.Builder |
setLibrary(FunctionDefLibrary.Builder builderForValue)
EXPERIMENTAL.
|
GraphDef.Builder |
setLibrary(FunctionDefLibrary value)
EXPERIMENTAL.
|
GraphDef.Builder |
setNode(int index,
NodeDef.Builder builderForValue)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
setNode(int index,
NodeDef value)
repeated .tensorflow.NodeDef node = 1; |
GraphDef.Builder |
setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
GraphDef.Builder |
setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) |
GraphDef.Builder |
setVersion(int value)
Deprecated.
|
GraphDef.Builder |
setVersions(VersionDef.Builder builderForValue)
Compatibility versions of the graph.
|
GraphDef.Builder |
setVersions(VersionDef value)
Compatibility versions of the graph.
|
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder clear()
clear in interface org.nd4j.shade.protobuf.Message.Builderclear in interface org.nd4j.shade.protobuf.MessageLite.Builderclear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface org.nd4j.shade.protobuf.Message.BuildergetDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuildergetDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef getDefaultInstanceForType()
getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilderpublic GraphDef build()
build in interface org.nd4j.shade.protobuf.Message.Builderbuild in interface org.nd4j.shade.protobuf.MessageLite.Builderpublic GraphDef buildPartial()
buildPartial in interface org.nd4j.shade.protobuf.Message.BuilderbuildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builderpublic GraphDef.Builder clone()
clone in interface org.nd4j.shade.protobuf.Message.Builderclone in interface org.nd4j.shade.protobuf.MessageLite.Builderclone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface org.nd4j.shade.protobuf.Message.BuildersetField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
clearField in interface org.nd4j.shade.protobuf.Message.BuilderclearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface org.nd4j.shade.protobuf.Message.BuilderclearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface org.nd4j.shade.protobuf.Message.BuildersetRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface org.nd4j.shade.protobuf.Message.BuilderaddRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder mergeFrom(org.nd4j.shade.protobuf.Message other)
mergeFrom in interface org.nd4j.shade.protobuf.Message.BuildermergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<GraphDef.Builder>public GraphDef.Builder mergeFrom(GraphDef other)
public final boolean isInitialized()
isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilderisInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public GraphDef.Builder mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface org.nd4j.shade.protobuf.Message.BuildermergeFrom in interface org.nd4j.shade.protobuf.MessageLite.BuildermergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<GraphDef.Builder>IOExceptionpublic List<NodeDef> getNodeList()
repeated .tensorflow.NodeDef node = 1;getNodeList in interface GraphDefOrBuilderpublic int getNodeCount()
repeated .tensorflow.NodeDef node = 1;getNodeCount in interface GraphDefOrBuilderpublic NodeDef getNode(int index)
repeated .tensorflow.NodeDef node = 1;getNode in interface GraphDefOrBuilderpublic GraphDef.Builder setNode(int index, NodeDef value)
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder setNode(int index, NodeDef.Builder builderForValue)
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder addNode(NodeDef value)
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder addNode(int index, NodeDef value)
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder addNode(NodeDef.Builder builderForValue)
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder addNode(int index, NodeDef.Builder builderForValue)
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder addAllNode(Iterable<? extends NodeDef> values)
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder clearNode()
repeated .tensorflow.NodeDef node = 1;public GraphDef.Builder removeNode(int index)
repeated .tensorflow.NodeDef node = 1;public NodeDef.Builder getNodeBuilder(int index)
repeated .tensorflow.NodeDef node = 1;public NodeDefOrBuilder getNodeOrBuilder(int index)
repeated .tensorflow.NodeDef node = 1;getNodeOrBuilder in interface GraphDefOrBuilderpublic List<? extends NodeDefOrBuilder> getNodeOrBuilderList()
repeated .tensorflow.NodeDef node = 1;getNodeOrBuilderList in interface GraphDefOrBuilderpublic NodeDef.Builder addNodeBuilder()
repeated .tensorflow.NodeDef node = 1;public NodeDef.Builder addNodeBuilder(int index)
repeated .tensorflow.NodeDef node = 1;public List<NodeDef.Builder> getNodeBuilderList()
repeated .tensorflow.NodeDef node = 1;public boolean hasVersions()
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;hasVersions in interface GraphDefOrBuilderpublic VersionDef getVersions()
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;getVersions in interface GraphDefOrBuilderpublic GraphDef.Builder setVersions(VersionDef value)
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 GraphDef.Builder setVersions(VersionDef.Builder builderForValue)
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 GraphDef.Builder mergeVersions(VersionDef value)
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 GraphDef.Builder clearVersions()
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 VersionDef.Builder getVersionsBuilder()
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 VersionDefOrBuilder getVersionsOrBuilder()
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;getVersionsOrBuilder in interface GraphDefOrBuilder@Deprecated public int getVersion()
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];getVersion in interface GraphDefOrBuilder@Deprecated public GraphDef.Builder setVersion(int value)
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];@Deprecated public GraphDef.Builder clearVersion()
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];public boolean hasLibrary()
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;hasLibrary in interface GraphDefOrBuilderpublic FunctionDefLibrary getLibrary()
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;getLibrary in interface GraphDefOrBuilderpublic GraphDef.Builder setLibrary(FunctionDefLibrary value)
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 GraphDef.Builder setLibrary(FunctionDefLibrary.Builder builderForValue)
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 GraphDef.Builder mergeLibrary(FunctionDefLibrary value)
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 GraphDef.Builder clearLibrary()
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 FunctionDefLibrary.Builder getLibraryBuilder()
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 FunctionDefLibraryOrBuilder getLibraryOrBuilder()
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;getLibraryOrBuilder in interface GraphDefOrBuilderpublic final GraphDef.Builder setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface org.nd4j.shade.protobuf.Message.BuildersetUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>public final GraphDef.Builder mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.BuildermergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<GraphDef.Builder>Copyright © 2019. All rights reserved.