Package | Description |
---|---|
org.bytedeco.tensorflow |
Modifier and Type | Method and Description |
---|---|
StringTensorPairVector |
StringTensorPairVector.first(long i,
BytePointer first) |
StringTensorPairVector |
StringTensorPairVector.first(long i,
BytePointer first) |
StringTensorPairVector |
StringTensorPairVector.first(long i,
String first) |
StringTensorPairVector |
StringTensorPairVector.first(long i,
String first) |
StringTensorPairVector |
StringTensorPairVector.put(BytePointer[] firstValue,
Tensor[] secondValue) |
StringTensorPairVector |
StringTensorPairVector.put(BytePointer[] firstValue,
Tensor[] secondValue) |
StringTensorPairVector |
StringTensorPairVector.put(String[] firstValue,
Tensor[] secondValue) |
StringTensorPairVector |
StringTensorPairVector.put(String[] firstValue,
Tensor[] secondValue) |
StringTensorPairVector |
StringTensorPairVector.put(StringTensorPairVector x) |
StringTensorPairVector |
StringTensorPairVector.put(StringTensorPairVector x) |
StringTensorPairVector |
StringTensorPairVector.second(long i,
Tensor second) |
StringTensorPairVector |
StringTensorPairVector.second(long i,
Tensor second) |
Modifier and Type | Method and Description |
---|---|
Status |
Session.PRun(BytePointer handle,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs)
\brief Continues the pending execution specified by
handle with the
provided input tensors and fills outputs for the endpoints specified
in output_names . |
Status |
Session.PRun(BytePointer handle,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs)
\brief Continues the pending execution specified by
handle with the
provided input tensors and fills outputs for the endpoints specified
in output_names . |
Status |
Session.PRun(String handle,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
Status |
Session.PRun(String handle,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
StringTensorPairVector |
StringTensorPairVector.put(StringTensorPairVector x) |
StringTensorPairVector |
StringTensorPairVector.put(StringTensorPairVector x) |
Status |
GraphRunner.Run(Graph graph,
FunctionLibraryRuntime function_library,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
Status |
GraphRunner.Run(Graph graph,
FunctionLibraryRuntime function_library,
StringTensorPairVector inputs,
StringVector output_names,
TensorVector outputs) |
Status |
Session.Run(RunOptions run_options,
StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs,
RunMetadata run_metadata)
\brief Like
Run , but allows users to pass in a RunOptions proto and
to retrieve non-Tensor metadata output via a RunMetadata proto for this
step. |
Status |
Session.Run(RunOptions run_options,
StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs,
RunMetadata run_metadata)
\brief Like
Run , but allows users to pass in a RunOptions proto and
to retrieve non-Tensor metadata output via a RunMetadata proto for this
step. |
Status |
Session.Run(StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs)
\brief Runs the graph with the provided input tensors and fills
outputs for the endpoints specified in output_tensor_names . |
Status |
Session.Run(StringTensorPairVector inputs,
StringVector output_tensor_names,
StringVector target_node_names,
TensorVector outputs)
\brief Runs the graph with the provided input tensors and fills
outputs for the endpoints specified in output_tensor_names . |
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