genel arayüz NodeDefOrBuilder
| Bilinen Dolaylı Alt Sınıflar |
Genel Yöntemler
| soyut boole | içerirAttr (Dize anahtarı) Operation-specific graph-construction-time configuration. |
| soyut Harita<String, AttrValue > | getAttr () Bunun yerine getAttrMap() kullanın. |
| soyut int | getAttrCount () Operation-specific graph-construction-time configuration. |
| soyut Harita<String, AttrValue > | getAttrMap () Operation-specific graph-construction-time configuration. |
| özet Öznitelik Değeri | getAttrOrDefault (Dize anahtarı, AttrValue defaultValue) Operation-specific graph-construction-time configuration. |
| özet Öznitelik Değeri | getAttrOrThrow (Dize tuşu) Operation-specific graph-construction-time configuration. |
| soyut Dize | getCihaz () 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. |
| özet NodeDef.ExperimentalDebugInfo | getExperimentalDebugInfo () This stores debug information associated with the node. |
| özet NodeDef.ExperimentalDebugInfoOrBuilder | getExperimentalDebugInfoOrBuilder () This stores debug information associated with the node. |
| soyut Dize | getInput (int dizini) 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 (int dizini) Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
| soyut 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". |
| özet Liste<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". |
| soyut Dize | getName () The name given to this operator. |
| abstract com.google.protobuf.ByteString | getNameBytes () The name given to this operator. |
| soyut Dize | getOp () The operation name. |
| abstract com.google.protobuf.ByteString | getOpBytes () The operation name. |
| soyut boole | hasExperimentalDebugInfo () This stores debug information associated with the node. |
Genel Yöntemler
genel soyut boolean içerirAttr (Dize anahtarı)
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; genel özet 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; genel soyut Harita<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; genel özet AttrValue getAttrOrDefault (Dize anahtarı, 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; genel özet AttrValue getAttrOrThrow (Dize anahtarı)
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; genel özet 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; genel özet 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; genel özet NodeDef.ExperimentalDebugInfo getExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6; genel özet NodeDef.ExperimentalDebugInfoOrBuilder getExperimentalDebugInfoOrBuilder ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6; genel özet String getInput (int indeksi)
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; genel özet com.google.protobuf.ByteString getInputBytes (int dizini)
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; genel özet 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; genel özet Listesi<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; genel özet Dize 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; genel özet 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; genel özet Dize 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; genel özet 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; genel soyut boolean hasExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;