Package org.tensorflow.framework
Interface NodeDefOrBuilder
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- All Superinterfaces:
org.nd4j.shade.protobuf.MessageLiteOrBuilder
,org.nd4j.shade.protobuf.MessageOrBuilder
- All Known Implementing Classes:
NodeDef
,NodeDef.Builder
public interface NodeDefOrBuilder extends org.nd4j.shade.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Deprecated Methods Modifier and Type Method Description boolean
containsAttr(String key)
Operation-specific graph-construction-time configuration.Map<String,AttrValue>
getAttr()
Deprecated.int
getAttrCount()
Operation-specific graph-construction-time configuration.Map<String,AttrValue>
getAttrMap()
Operation-specific graph-construction-time configuration.AttrValue
getAttrOrDefault(String key, AttrValue defaultValue)
Operation-specific graph-construction-time configuration.AttrValue
getAttrOrThrow(String key)
Operation-specific graph-construction-time configuration.String
getDevice()
A (possibly partial) specification for the device on which this node should be placed.org.nd4j.shade.protobuf.ByteString
getDeviceBytes()
A (possibly partial) specification for the device on which this node should be placed.String
getInput(int index)
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".org.nd4j.shade.protobuf.ByteString
getInputBytes(int index)
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".int
getInputCount()
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".List<String>
getInputList()
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".String
getName()
The name given to this operator.org.nd4j.shade.protobuf.ByteString
getNameBytes()
The name given to this operator.String
getOp()
The operation name.org.nd4j.shade.protobuf.ByteString
getOpBytes()
The operation name.-
Methods inherited from interface org.nd4j.shade.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Detail
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getName
String getName()
The name given to this operator. Used for naming inputs, logging, visualization, etc. Unique within a single GraphDef. Must match the regexp "[A-Za-z0-9.][A-Za-z0-9_./]*".
string name = 1;
- Returns:
- The name.
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getNameBytes
org.nd4j.shade.protobuf.ByteString getNameBytes()
The name given to this operator. Used for naming inputs, logging, visualization, etc. Unique within a single GraphDef. Must match the regexp "[A-Za-z0-9.][A-Za-z0-9_./]*".
string name = 1;
- Returns:
- The bytes for name.
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getOp
String getOp()
The operation name. There may be custom parameters in attrs. Op names starting with an underscore are reserved for internal use.
string op = 2;
- Returns:
- The op.
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getOpBytes
org.nd4j.shade.protobuf.ByteString getOpBytes()
The operation name. There may be custom parameters in attrs. Op names starting with an underscore are reserved for internal use.
string op = 2;
- Returns:
- The bytes for op.
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getInputList
List<String> getInputList()
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3;
- Returns:
- A list containing the input.
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getInputCount
int getInputCount()
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3;
- Returns:
- The count of input.
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getInput
String getInput(int index)
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3;
- Parameters:
index
- The index of the element to return.- Returns:
- The input at the given index.
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getInputBytes
org.nd4j.shade.protobuf.ByteString getInputBytes(int index)
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". If "src_output" is 0 the ":0" suffix can be omitted. Regular inputs may optionally be followed by control inputs that have the format "^node".
repeated string input = 3;
- Parameters:
index
- The index of the value to return.- Returns:
- The bytes of the input at the given index.
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getDevice
String getDevice()
A (possibly partial) specification for the device on which this node should be placed. The expected syntax for this string is as follows: DEVICE_SPEC ::= PARTIAL_SPEC PARTIAL_SPEC ::= ("/" CONSTRAINT) * CONSTRAINT ::= ("job:" JOB_NAME) | ("replica:" [1-9][0-9]*) | ("task:" [1-9][0-9]*) | ("device:" [A-Za-z]* ":" ([1-9][0-9]* | "*") ) Valid values for this string include: * "/job:worker/replica:0/task:1/device:GPU:3" (full specification) * "/job:worker/device:GPU:3" (partial specification) * "" (no specification) If the constraints do not resolve to a single device (or if this field is empty or not present), the runtime will attempt to choose a device automatically.
string device = 4;
- Returns:
- The device.
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getDeviceBytes
org.nd4j.shade.protobuf.ByteString getDeviceBytes()
A (possibly partial) specification for the device on which this node should be placed. The expected syntax for this string is as follows: DEVICE_SPEC ::= PARTIAL_SPEC PARTIAL_SPEC ::= ("/" CONSTRAINT) * CONSTRAINT ::= ("job:" JOB_NAME) | ("replica:" [1-9][0-9]*) | ("task:" [1-9][0-9]*) | ("device:" [A-Za-z]* ":" ([1-9][0-9]* | "*") ) Valid values for this string include: * "/job:worker/replica:0/task:1/device:GPU:3" (full specification) * "/job:worker/device:GPU:3" (partial specification) * "" (no specification) If the constraints do not resolve to a single device (or if this field is empty or not present), the runtime will attempt to choose a device automatically.
string device = 4;
- Returns:
- The bytes for device.
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getAttrCount
int getAttrCount()
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5;
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containsAttr
boolean containsAttr(String key)
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5;
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getAttr
@Deprecated Map<String,AttrValue> getAttr()
Deprecated.UsegetAttrMap()
instead.
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getAttrMap
Map<String,AttrValue> getAttrMap()
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5;
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getAttrOrDefault
AttrValue getAttrOrDefault(String key, AttrValue defaultValue)
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5;
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getAttrOrThrow
AttrValue getAttrOrThrow(String key)
Operation-specific graph-construction-time configuration. Note that this should include all attrs defined in the corresponding OpDef, including those with a value matching the default -- this allows the default to change and makes NodeDefs easier to interpret on their own. However, if an attr with a default is not specified in this list, the default will be used. The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and one of the names from the corresponding OpDef's attr field). The values must have a type matching the corresponding OpDef attr's type field. TODO(josh11b): Add some examples here showing best practices.
map<string, .tensorflow.AttrValue> attr = 5;
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