الواجهة العامة NodeDefOrBuilder
الفئات الفرعية غير المباشرة المعروفة |
الأساليب العامة
منطقية مجردة | يحتوي على Attr (مفتاح السلسلة) Operation-specific graph-construction-time configuration. |
خريطة مجردة <سلسلة، AttrValue > | الحصول على Attr () استخدم getAttrMap() بدلاً من ذلك. |
كثافة العمليات مجردة | الحصول علىAttrCount () Operation-specific graph-construction-time configuration. |
خريطة مجردة <سلسلة، AttrValue > | الحصول على AttrMap () Operation-specific graph-construction-time configuration. |
مجردة AttrValue | getAttrOrDefault (مفتاح السلسلة، AttrValue defaultValue) Operation-specific graph-construction-time configuration. |
مجردة AttrValue | getAttrOrThrow (مفتاح السلسلة) Operation-specific graph-construction-time configuration. |
سلسلة مجردة | الحصول على الجهاز () A (possibly partial) specification for the device on which this node should be placed. |
مجردة com.google.protobuf.ByteString | الحصول على جهاز بايت () A (possibly partial) specification for the device on which this node should be placed. |
مجردة NodeDef.ExperimentalDebugInfo | الحصول على معلومات تجريبية () This stores debug information associated with the node. |
مجردة NodeDef.ExperimentalDebugInfoOrBuilder | getExperimentalDebugInfoOrBuilder () This stores debug information associated with the node. |
سلسلة مجردة | الحصول على الإدخال (مؤشر كثافة العمليات) Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
مجردة com.google.protobuf.ByteString | getInputBytes (فهرس كثافة العمليات) Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
كثافة العمليات مجردة | getInputCount () Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
قائمة مجردة <سلسلة> | قائمة الإدخال () Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node". |
سلسلة مجردة | الحصول على الاسم () The name given to this operator. |
مجردة com.google.protobuf.ByteString | الحصول على اسم بايت () The name given to this operator. |
سلسلة مجردة | جيتوب () The operation name. |
مجردة com.google.protobuf.ByteString | الحصول علىOpBytes () The operation name. |
منطقية مجردة | hasExperimentalDebugInfo () This stores debug information associated with the node. |
الأساليب العامة
الملخص المنطقي العام يحتوي على Attr (مفتاح السلسلة)
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;
الملخص العام 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;
خريطة مجردة عامة<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;
الملخص العام AttrValue getAttrOrDefault (مفتاح السلسلة، 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;
الملخص العام AttrValue getAttrOrThrow (مفتاح السلسلة)
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;
سلسلة getDevice () مجردة عامة
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;
الملخص العام 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;
الملخص العام NodeDef.ExperimentalDebugInfo getExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;
الملخص العام NodeDef.ExperimentalDebugInfoOrBuilder getExperimentalDebugInfoOrBuilder ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;
سلسلة getInput العامة (مؤشر 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;
الملخص العام com.google.protobuf.ByteString getInputBytes (مؤشر 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;
الملخص العام 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;
قائمة مجردة عامة<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;
سلسلة getName () مجردة عامة
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;
الملخص العام 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;
سلسلة getOp العامة ()
The operation name. There may be custom parameters in attrs. Op names starting with an underscore are reserved for internal use.
string op = 2;
الملخص العام 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;
الملخص المنطقي العام hasExperimentalDebugInfo ()
This stores debug information associated with the node.
.tensorflow.NodeDef.ExperimentalDebugInfo experimental_debug_info = 6;