interfaccia pubblica NodeDefOrBuilder
| Sottoclassi indirette conosciute |
Metodi pubblici
| booleano astratto | contieneAttr (chiave String) Operation-specific graph-construction-time configuration. |
| mappa astratta<String, AttrValue > | getAttr () Utilizzare invece getAttrMap() . |
| astratto int | getAttrCount () Operation-specific graph-construction-time configuration. |
| mappa astratta<String, AttrValue > | getAttrMap () Operation-specific graph-construction-time configuration. |
| valore attributo astratto | getAttrOrDefault (chiave String, AttrValue defaultValue) Operation-specific graph-construction-time configuration. |
| valore attributo astratto | getAttrOrThrow (chiave String) Operation-specific graph-construction-time configuration. |
| stringa astratta | getDevice () A (possibly partial) specification for the device on which this node should be placed. |
| astratto com.google.protobuf.ByteString | getDeviceBytes () A (possibly partial) specification for the device on which this node should be placed. |
| abstract NodeDef.ExperimentalDebugInfo | getExperimentalDebugInfo () This stores debug information associated with the node. |
| abstract NodeDef.ExperimentalDebugInfoOrBuilder | getExperimentalDebugInfoOrBuilder () This stores debug information associated with the node. |
| stringa astratta | getInput (indice int) Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
| astratto com.google.protobuf.ByteString | getInputBytes (indice int) Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
| astratto 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". |
| Elenco astratto<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". |
| stringa astratta | getNome () The name given to this operator. |
| astratto com.google.protobuf.ByteString | getNomeBytes () The name given to this operator. |
| stringa astratta | getOp () The operation name. |
| astratto com.google.protobuf.ByteString | getOpBytes () The operation name. |
| booleano astratto | hasExperimentalDebugInfo () This stores debug information associated with the node. |
Metodi pubblici
booleano astratto pubblico contieneAttr (chiave String)
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 (Chiave stringa, 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 (chiave String)
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 ()
string device = 4;
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.
= 4; estratto pubblico com.google.protobuf.ByteString getDeviceBytes ()
string device = 4;
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.
= 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 (indice int)
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; abstract pubblico com.google.protobuf.ByteString getInputBytes (indice int)
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; stringa astratta pubblica 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; estratto pubblico 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; estratto pubblico 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; estratto pubblico 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 booleano hasExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;