パブリック インターフェイスSignatureDefOrBuilder
| 既知の間接サブクラス |
パブリックメソッド
| 抽象ブール値 | containsInputs (文字列キー) Named input parameters. |
| 抽象ブール値 | containsOutputs (文字列キー) Named output parameters. |
| 抽象 Map<String, TensorInfo > | getInputs () 代わりに getInputsMap()を使用してください。 |
| 抽象整数 | getInputsCount () Named input parameters. |
| 抽象 Map<String, TensorInfo > | getInputsMap () Named input parameters. |
| 抽象TensorInfo | |
| 抽象TensorInfo | getInputsOrThrow (文字列キー) Named input parameters. |
| 抽象文字列 | getメソッド名() Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method. |
| 抽象的な com.google.protobuf.ByteString | getメソッド名バイト() Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method. |
| 抽象 Map<String, TensorInfo > | getOutputs () 代わりに getOutputsMap()を使用してください。 |
| 抽象整数 | getOutputsCount () Named output parameters. |
| 抽象 Map<String, TensorInfo > | getOutputsMap () Named output parameters. |
| 抽象TensorInfo | |
| 抽象TensorInfo | getOutputsOrThrow (文字列キー) Named output parameters. |
パブリックメソッド
public abstract boolean containsInputs (文字列キー)
Named input parameters.
map<string, .tensorflow.TensorInfo> inputs = 1; public abstract boolean containsOutputs (文字列キー)
Named output parameters.
map<string, .tensorflow.TensorInfo> outputs = 2; public abstract int getInputsCount ()
Named input parameters.
map<string, .tensorflow.TensorInfo> inputs = 1; public abstract Map<String, TensorInfo > getInputsMap ()
Named input parameters.
map<string, .tensorflow.TensorInfo> inputs = 1; public abstract TensorInfo getInputsOrDefault (文字列キー、 TensorInfo defaultValue)
Named input parameters.
map<string, .tensorflow.TensorInfo> inputs = 1; public abstract TensorInfo getInputsOrThrow (文字列キー)
Named input parameters.
map<string, .tensorflow.TensorInfo> inputs = 1; public abstract String getMethodName ()
Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method. This enables producers and consumers of SignatureDefs, e.g. a model definition library and a serving library to have a clear hand-off regarding the semantics of a computation. Note that multiple SignatureDefs in a single MetaGraphDef may have the same method_name. This is commonly used to support multi-headed computation, where a single graph computation may return multiple results.
string method_name = 3; public abstract com.google.protobuf.ByteString getMethodNameBytes ()
Extensible method_name information enabling third-party users to mark a SignatureDef as supporting a particular method. This enables producers and consumers of SignatureDefs, e.g. a model definition library and a serving library to have a clear hand-off regarding the semantics of a computation. Note that multiple SignatureDefs in a single MetaGraphDef may have the same method_name. This is commonly used to support multi-headed computation, where a single graph computation may return multiple results.
string method_name = 3; public abstract int getOutputsCount ()
Named output parameters.
map<string, .tensorflow.TensorInfo> outputs = 2; public abstract Map<String, TensorInfo > getOutputsMap ()
Named output parameters.
map<string, .tensorflow.TensorInfo> outputs = 2; public abstract TensorInfo getOutputsOrDefault (文字列キー、 TensorInfo defaultValue)
Named output parameters.
map<string, .tensorflow.TensorInfo> outputs = 2; public abstract TensorInfo getOutputsOrThrow (文字列キー)
Named output parameters.
map<string, .tensorflow.TensorInfo> outputs = 2;