interface pública NodeDefOrBuilder
| Subclasses indiretas conhecidas |
Métodos Públicos
| booleano abstrato | containsAttr (chave String) Operation-specific graph-construction-time configuration. |
| Mapa abstrato <String, AttrValue > | getAttr () getAttrMap() vez disso, use getAttrMap() . |
| int abstrato | getAttrCount () Operation-specific graph-construction-time configuration. |
| Mapa abstrato <String, AttrValue > | getAttrMap () Operation-specific graph-construction-time configuration. |
| AttrValue abstrato | getAttrOrDefault (String key, AttrValue defaultValue) Operation-specific graph-construction-time configuration. |
| AttrValue abstrato | getAttrOrThrow (String key) Operation-specific graph-construction-time configuration. |
| String abstrata | getDevice () A (possibly partial) specification for the device on which this node should be placed. |
| abstract com.google.protobuf.ByteString | getDeviceBytes () A (possibly partial) specification for the device on which this node should be placed. |
| abstrato NodeDef.ExperimentalDebugInfo | getExperimentalDebugInfo () This stores debug information associated with the node. |
| abstrato NodeDef.ExperimentalDebugInfoOrBuilder | getExperimentalDebugInfoOrBuilder () This stores debug information associated with the node. |
| String abstrata | 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". |
| abstract com.google.protobuf.ByteString | getInputBytes (índice interno ) Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
| int abstrato | getInputCount () Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
| Lista abstrata <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 abstrata | getName () The name given to this operator. |
| abstract com.google.protobuf.ByteString | getNameBytes () The name given to this operator. |
| String abstrata | getOp () The operation name. |
| abstract com.google.protobuf.ByteString | getOpBytes () The operation name. |
| booleano abstrato | hasExperimentalDebugInfo () This stores debug information associated with the node. |
Métodos Públicos
public abstract 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;public abstract 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;public abstract 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; public abstract 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;public abstract 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;public abstract 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;public abstract com.google.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;public abstract NodeDef.ExperimentalDebugInfo getExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;public abstract NodeDef.ExperimentalDebugInfoOrBuilder getExperimentalDebugInfoOrBuilder ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;public abstract 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;public abstract com.google.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;public abstract 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;public abstract 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;public abstract 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;public abstract com.google.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;public abstract 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;public abstract com.google.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;public abstract boolean hasExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;