सार्वजनिक इंटरफ़ेस रिमोटफ्यूज्डग्राफएक्सेक्यूटइन्फोऑरबिल्डर
| ज्ञात अप्रत्यक्ष उपवर्ग |
सार्वजनिक तरीके
| सार रिमोटफ्यूज्डग्राफएक्सेक्यूटइन्फो.टेन्सरशेपटाइपप्रोटो | getDefaultGraphInputTensorShape (int अनुक्रमणिका) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
| सार इंट | getDefaultGraphInputTensorShapeCount () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
| सार सूची < RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > | getDefaultGraphInputTensorShapeList () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
| सार रिमोटफ्यूज्डग्राफएक्सेक्यूटइन्फो.टेन्सरशेपटाइपप्रोटोऑरबिल्डर | getDefaultGraphInputTensorShapeOrBuilder (int अनुक्रमणिका) Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
| सार सूची<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder > का विस्तार करता है | getDefaultGraphInputTensorShapeOrBuilderList () Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; |
| सार रिमोटफ्यूज्डग्राफएक्सेक्यूटइन्फो.टेन्सरशेपटाइपप्रोटो | getDefaultGraphOutputTensorShape (int अनुक्रमणिका) Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; |
| सार इंट | getDefaultGraphOutputTensorShapeCount () Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; |
| सार सूची < RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > | getDefaultGraphOutputTensorShapeList () Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; |
| सार रिमोटफ्यूज्डग्राफएक्सेक्यूटइन्फो.टेन्सरशेपटाइपप्रोटोऑरबिल्डर | getDefaultGraphOutputTensorShapeOrBuilder (int अनुक्रमणिका) Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; |
| सार सूची<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder > का विस्तार करता है | getDefaultGraphOutputTensorShapeOrBuilderList () Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; |
| सार स्ट्रिंग | getExecutorName () Executor's name string executor_name = 4; |
| सार com.google.protobuf.ByteString | getExecutorNameBytes () Executor's name string executor_name = 4; |
| सार स्ट्रिंग | getGraphInputNodeName (int अनुक्रमणिका) Remote fused graph input node name repeated string graph_input_node_name = 2; |
| सार com.google.protobuf.ByteString | getGraphInputNodeNameBytes (int अनुक्रमणिका) Remote fused graph input node name repeated string graph_input_node_name = 2; |
| सार इंट | getGraphInputNodeNameCount () Remote fused graph input node name repeated string graph_input_node_name = 2; |
| सार सूची<स्ट्रिंग> | getGraphInputNodeNameList () Remote fused graph input node name repeated string graph_input_node_name = 2; |
| सार स्ट्रिंग | getGraphOutputNodeName (int अनुक्रमणिका) Remote fused graph output node name repeated string graph_output_node_name = 3; |
| सार com.google.protobuf.ByteString | getGraphOutputNodeNameBytes (int अनुक्रमणिका) Remote fused graph output node name repeated string graph_output_node_name = 3; |
| सार इंट | getGraphOutputNodeNameCount () Remote fused graph output node name repeated string graph_output_node_name = 3; |
| सार सूची<स्ट्रिंग> | getGraphOutputNodeNameList () Remote fused graph output node name repeated string graph_output_node_name = 3; |
| सार ग्राफडेफ़ | getRemoteGraph () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
| सार GraphDefOrBuilder | getRemoteGraphOrBuilder () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
| सार com.google.protobuf.ByteString | getSerializedExecutorParameters () Optional: Parameters given to the executor bytes serialized_executor_parameters = 5; |
| अमूर्त बूलियन | हैरिमोटग्राफ () Definition of remote graph .tensorflow.GraphDef remote_graph = 1; |
सार्वजनिक तरीके
सार्वजनिक सार RemotFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphInputTensorShape (int अनुक्रमणिका)
Optional: Default graph input tensor shape used to allocate memory before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; सार्वजनिक सार int getDefaultGraphInputTensorShapeCount ()
Optional: Default graph input tensor shape used to allocate memory before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; सार्वजनिक सार सूची < RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > getDefaultGraphInputTensorShapeList ()
Optional: Default graph input tensor shape used to allocate memory before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; सार्वजनिक सार RemotFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphInputTensorShapeOrBuilder (int अनुक्रमणिका)
Optional: Default graph input tensor shape used to allocate memory before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; सार्वजनिक सार सूची<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder > getDefaultGraphInputTensorShapeOrBuilderList () का विस्तार करता है
Optional: Default graph input tensor shape used to allocate memory before executing op
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6; सार्वजनिक सार RemoteFusedGraphExecuteInfo.TensorShapeTypeProto getDefaultGraphOutputTensorShape (int अनुक्रमणिका)
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;सार्वजनिक सार int getDefaultGraphOutputTensorShapeCount ()
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; सार्वजनिक सार सूची < RemoteFusedGraphExecuteInfo.TensorShapeTypeProto > getDefaultGraphOutputTensorShapeList ()
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; सार्वजनिक सार RemotFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder getDefaultGraphOutputTensorShapeOrBuilder (int अनुक्रमणिका)
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; सार्वजनिक सार सूची<? RemoteFusedGraphExecuteInfo.TensorShapeTypeProtoOrBuilder > getDefaultGraphOutputTensorShapeOrBuilderList () का विस्तार करता है
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef
repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7; सार्वजनिक सार स्ट्रिंग getExecutorName ()
Executor's name
string executor_name = 4; सार्वजनिक सार com.google.protobuf.ByteString getExecutorNameBytes ()
Executor's name
string executor_name = 4; सार्वजनिक सार स्ट्रिंग getGraphInputNodeName (int अनुक्रमणिका)
Remote fused graph input node name
repeated string graph_input_node_name = 2; सार्वजनिक सार com.google.protobuf.ByteString getGraphInputNodeNameBytes (int अनुक्रमणिका)
Remote fused graph input node name
repeated string graph_input_node_name = 2; सार्वजनिक सार int getGraphInputNodeNameCount ()
Remote fused graph input node name
repeated string graph_input_node_name = 2; सार्वजनिक सार सूची <स्ट्रिंग> getGraphInputNodeNameList ()
Remote fused graph input node name
repeated string graph_input_node_name = 2; सार्वजनिक सार स्ट्रिंग getGraphOutputNodeName (int अनुक्रमणिका)
Remote fused graph output node name
repeated string graph_output_node_name = 3; सार्वजनिक सार com.google.protobuf.ByteString getGraphOutputNodeNameBytes (int अनुक्रमणिका)
Remote fused graph output node name
repeated string graph_output_node_name = 3; सार्वजनिक सार int getGraphOutputNodeNameCount ()
Remote fused graph output node name
repeated string graph_output_node_name = 3; सार्वजनिक सार सूची <स्ट्रिंग> getGraphOutputNodeNameList ()
Remote fused graph output node name
repeated string graph_output_node_name = 3; सार्वजनिक सार ग्राफ़डेफ़ getRemoteGraph ()
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1; सार्वजनिक सार GraphDefOrBuilder getRemoteGraphOrBuilder ()
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1; सार्वजनिक सार com.google.protobuf.ByteString getSerializedExecutorParameters ()
Optional: Parameters given to the executor
bytes serialized_executor_parameters = 5; सार्वजनिक सार बूलियन hasRemoteGraph ()
Definition of remote graph
.tensorflow.GraphDef remote_graph = 1;