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< div class = "subTitle" > < span class = "packageLabelInType" > Package< / span > < a href = "package-summary.html" > ai.onnxruntime< / a > < / div >
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< h2 title = "Class OrtSession" class = "title" > Class OrtSession< / h2 >
< / div >
< div class = "contentContainer" >
< ul class = "inheritance" >
< li > java.lang.Object< / li >
< li >
< ul class = "inheritance" >
< li > ai.onnxruntime.OrtSession< / li >
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< pre > public class < span class = "typeNameLabel" > OrtSession< / span >
extends java.lang.Object
implements java.lang.AutoCloseable< / pre >
< div class = "block" > Wraps an ONNX model and allows inference calls.
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< p > Allows the inspection of the model's input and output nodes. Produced by an < a href = "OrtEnvironment.html" title = "class in ai.onnxruntime" > < code > OrtEnvironment< / code > < / a > .
< p > Most instance methods throw < code > IllegalStateException< / code > if the session is closed and the
methods are called.< / div >
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< th class = "colFirst" scope = "col" > Modifier and Type< / th >
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< th class = "colSecond" scope = "col" > Class< / th >
< th class = "colLast" scope = "col" > Description< / th >
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< td class = "colFirst" > < code > static class < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > < / span > < / code > < / th >
< td class = "colLast" >
< div class = "block" > An < code > AutoCloseable< / code > wrapper around a < code > Map< / code > containing < a href = "OnnxValue.html" title = "interface in ai.onnxruntime" > < code > OnnxValue< / code > < / a > s.< / div >
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< / td >
< / tr >
< tr class = "rowColor" >
< td class = "colFirst" > < code > static class < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "OrtSession.RunOptions.html" title = "class in ai.onnxruntime" > OrtSession.RunOptions< / a > < / span > < / code > < / th >
< td class = "colLast" >
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< div class = "block" > Used to control logging and termination of a call to < a href = "#run(java.util.Map)" > < code > run(java.util.Map< java.lang.String, ? extends ai.onnxruntime.OnnxTensorLike> )< / code > < / a > .< / div >
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< / tr >
< tr class = "altColor" >
< td class = "colFirst" > < code > static class < / code > < / td >
< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "OrtSession.SessionOptions.html" title = "class in ai.onnxruntime" > OrtSession.SessionOptions< / a > < / span > < / code > < / th >
< td class = "colLast" >
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< div class = "block" > Represents the options used to construct this session.< / div >
< / td >
< / tr >
< / table >
< / li >
< / ul >
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< / section >
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< caption > < span id = "t0" class = "activeTableTab" > < span > All Methods< / span > < span class = "tabEnd" > < / span > < / span > < span id = "t2" class = "tableTab" > < span > < a href = "javascript:show(2);" > Instance Methods< / a > < / span > < span class = "tabEnd" > < / span > < / span > < span id = "t4" class = "tableTab" > < span > < a href = "javascript:show(8);" > Concrete Methods< / a > < / span > < span class = "tabEnd" > < / span > < / span > < / caption >
< tr >
< th class = "colFirst" scope = "col" > Modifier and Type< / th >
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< th class = "colSecond" scope = "col" > Method< / th >
< th class = "colLast" scope = "col" > Description< / th >
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< / tr >
< tr id = "i0" class = "altColor" >
< td class = "colFirst" > < code > void< / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#close()" > close< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
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< div class = "block" > Closes the session, releasing it's resources.< / div >
< / td >
< / tr >
< tr id = "i1" class = "rowColor" >
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< td class = "colFirst" > < code > java.lang.String< / code > < / td >
< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#endProfiling()" > endProfiling< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
< div class = "block" > Ends the profiling session and returns the output of the profiler.< / div >
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< / td >
< / tr >
< tr id = "i2" class = "altColor" >
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< td class = "colFirst" > < code > java.util.Map< java.lang.String,​ < a href = "NodeInfo.html" title = "class in ai.onnxruntime" > NodeInfo< / a > > < / code > < / td >
< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getInputInfo()" > getInputInfo< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
< div class = "block" > Returns the info objects for the inputs, including their names and types.< / div >
< / td >
< / tr >
< tr id = "i3" class = "rowColor" >
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< td class = "colFirst" > < code > java.util.Set< java.lang.String> < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getInputNames()" > getInputNames< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
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< div class = "block" > Returns the input names.< / div >
< / td >
< / tr >
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< tr id = "i4" class = "altColor" >
< td class = "colFirst" > < code > < a href = "OnnxModelMetadata.html" title = "class in ai.onnxruntime" > OnnxModelMetadata< / a > < / code > < / td >
< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getMetadata()" > getMetadata< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
< div class = "block" > Gets the metadata for the currently loaded model.< / div >
< / td >
< / tr >
< tr id = "i5" class = "rowColor" >
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< td class = "colFirst" > < code > long< / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getNumInputs()" > getNumInputs< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
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< div class = "block" > Returns the number of inputs this model expects.< / div >
< / td >
< / tr >
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< tr id = "i6" class = "altColor" >
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< td class = "colFirst" > < code > long< / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getNumOutputs()" > getNumOutputs< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
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< div class = "block" > Returns the number of outputs this model expects.< / div >
< / td >
< / tr >
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< tr id = "i7" class = "rowColor" >
< td class = "colFirst" > < code > java.util.Map< java.lang.String,​ < a href = "NodeInfo.html" title = "class in ai.onnxruntime" > NodeInfo< / a > > < / code > < / td >
< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getOutputInfo()" > getOutputInfo< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
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< div class = "block" > Returns the info objects for the outputs, including their names and types.< / div >
< / td >
< / tr >
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< tr id = "i8" class = "altColor" >
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< td class = "colFirst" > < code > java.util.Set< java.lang.String> < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getOutputNames()" > getOutputNames< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
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< div class = "block" > Returns the output names.< / div >
< / td >
< / tr >
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< tr id = "i9" class = "rowColor" >
< td class = "colFirst" > < code > long< / code > < / td >
< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#getProfilingStartTimeInNs()" > getProfilingStartTimeInNs< / a > < / span > ()< / code > < / th >
< td class = "colLast" >
< div class = "block" > Returns the timestamp that profiling started in nanoseconds.< / div >
< / td >
< / tr >
< tr id = "i10" class = "altColor" >
< td class = "colFirst" > < code > < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#run(java.util.Map)" > run< / a > < / span > ​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs)< / code > < / th >
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< td class = "colLast" >
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< div class = "block" > Scores an input feed dict, returning the map of all inferred outputs.< / div >
< / td >
< / tr >
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< tr id = "i11" class = "rowColor" >
< td class = "colFirst" > < code > < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#run(java.util.Map,ai.onnxruntime.OrtSession.RunOptions)" > run< / a > < / span > ​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs,
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< a href = "OrtSession.RunOptions.html" title = "class in ai.onnxruntime" > OrtSession.RunOptions< / a > runOptions)< / code > < / th >
< td class = "colLast" >
< div class = "block" > Scores an input feed dict, returning the map of all inferred outputs.< / div >
< / td >
< / tr >
< tr id = "i12" class = "altColor" >
< td class = "colFirst" > < code > < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#run(java.util.Map,java.util.Set)" > run< / a > < / span > ​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs,
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java.util.Set< java.lang.String> requestedOutputs)< / code > < / th >
< td class = "colLast" >
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< div class = "block" > Scores an input feed dict, returning the map of requested inferred outputs.< / div >
< / td >
< / tr >
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< tr id = "i13" class = "rowColor" >
< td class = "colFirst" > < code > < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > < / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#run(java.util.Map,java.util.Set,ai.onnxruntime.OrtSession.RunOptions)" > run< / a > < / span > ​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs,
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java.util.Set< java.lang.String> requestedOutputs,
< a href = "OrtSession.RunOptions.html" title = "class in ai.onnxruntime" > OrtSession.RunOptions< / a > runOptions)< / code > < / th >
< td class = "colLast" >
< div class = "block" > Scores an input feed dict, returning the map of requested inferred outputs.< / div >
< / td >
< / tr >
< tr id = "i14" class = "altColor" >
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< td class = "colFirst" > < code > java.lang.String< / code > < / td >
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< th class = "colSecond" scope = "row" > < code > < span class = "memberNameLink" > < a href = "#toString()" > toString< / a > < / span > ()< / code > < / th >
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< h3 > Method Detail< / h3 >
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< pre class = "methodSignature" > public long getNumInputs()< / pre >
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< div class = "block" > Returns the number of inputs this model expects.< / div >
< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The number of inputs.< / dd >
< / dl >
< / li >
< / ul >
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< a id = "getNumOutputs()" >
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< h4 > getNumOutputs< / h4 >
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< pre class = "methodSignature" > public long getNumOutputs()< / pre >
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< div class = "block" > Returns the number of outputs this model expects.< / div >
< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The number of outputs.< / dd >
< / dl >
< / li >
< / ul >
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< a id = "getInputNames()" >
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< h4 > getInputNames< / h4 >
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< pre class = "methodSignature" > public java.util.Set< java.lang.String> getInputNames()< / pre >
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< div class = "block" > Returns the input names. The underlying collection is sorted based on the input id number.< / div >
< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The input names.< / dd >
< / dl >
< / li >
< / ul >
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< a id = "getOutputNames()" >
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< h4 > getOutputNames< / h4 >
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< pre class = "methodSignature" > public java.util.Set< java.lang.String> getOutputNames()< / pre >
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< div class = "block" > Returns the output names. The underlying collection is sorted based on the output id number.< / div >
< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The output names.< / dd >
< / dl >
< / li >
< / ul >
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< a id = "getInputInfo()" >
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< h4 > getInputInfo< / h4 >
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< pre class = "methodSignature" > public java.util.Map< java.lang.String,​ < a href = "NodeInfo.html" title = "class in ai.onnxruntime" > NodeInfo< / a > > getInputInfo()
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
< div class = "block" > Returns the info objects for the inputs, including their names and types. The underlying
collection is sorted based on the input id number.< / div >
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< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The input information.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
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< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If there was an error in native code.< / dd >
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< / dl >
< / li >
< / ul >
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< a id = "getOutputInfo()" >
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< h4 > getOutputInfo< / h4 >
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< pre class = "methodSignature" > public java.util.Map< java.lang.String,​ < a href = "NodeInfo.html" title = "class in ai.onnxruntime" > NodeInfo< / a > > getOutputInfo()
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
< div class = "block" > Returns the info objects for the outputs, including their names and types. The underlying
collection is sorted based on the output id number.< / div >
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< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The output information.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
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< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If there was an error in native code.< / dd >
< / dl >
< / li >
< / ul >
< a id = "run(java.util.Map)" >
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< / a >
< ul class = "blockList" >
< li class = "blockList" >
< h4 > run< / h4 >
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< pre class = "methodSignature" > public < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > run​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs)
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throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
< div class = "block" > Scores an input feed dict, returning the map of all inferred outputs.
< p > The outputs are sorted based on their id number.< / div >
< dl >
< dt > < span class = "paramLabel" > Parameters:< / span > < / dt >
< dd > < code > inputs< / code > - The inputs to score.< / dd >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The inferred outputs.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If there was an error in native code, the input names are invalid, or if
there are zero or too many inputs.< / dd >
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< / dl >
< / li >
< / ul >
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< a id = "run(java.util.Map,ai.onnxruntime.OrtSession.RunOptions)" >
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< / a >
< ul class = "blockList" >
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< h4 > run< / h4 >
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< pre class = "methodSignature" > public < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > run​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs,
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< a href = "OrtSession.RunOptions.html" title = "class in ai.onnxruntime" > OrtSession.RunOptions< / a > runOptions)
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
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< div class = "block" > Scores an input feed dict, returning the map of all inferred outputs.
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< p > The outputs are sorted based on their id number.< / div >
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< dl >
< dt > < span class = "paramLabel" > Parameters:< / span > < / dt >
< dd > < code > inputs< / code > - The inputs to score.< / dd >
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< dd > < code > runOptions< / code > - The RunOptions to control this run.< / dd >
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< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The inferred outputs.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
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< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If there was an error in native code, the input names are invalid, or if
there are zero or too many inputs.< / dd >
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< / dl >
< / li >
< / ul >
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< a id = "run(java.util.Map,java.util.Set)" >
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< / a >
< ul class = "blockList" >
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< h4 > run< / h4 >
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< pre class = "methodSignature" > public < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > run​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs,
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java.util.Set< java.lang.String> requestedOutputs)
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throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
< div class = "block" > Scores an input feed dict, returning the map of requested inferred outputs.
< p > The outputs are sorted based on the supplied set traversal order.< / div >
< dl >
< dt > < span class = "paramLabel" > Parameters:< / span > < / dt >
< dd > < code > inputs< / code > - The inputs to score.< / dd >
< dd > < code > requestedOutputs< / code > - The requested outputs.< / dd >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The inferred outputs.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If there was an error in native code, the input or output names are
invalid, or if there are zero or too many inputs or outputs.< / dd >
< / dl >
< / li >
< / ul >
< a id = "run(java.util.Map,java.util.Set,ai.onnxruntime.OrtSession.RunOptions)" >
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< / a >
< ul class = "blockList" >
< li class = "blockList" >
< h4 > run< / h4 >
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< pre class = "methodSignature" > public < a href = "OrtSession.Result.html" title = "class in ai.onnxruntime" > OrtSession.Result< / a > run​ (java.util.Map< java.lang.String,​ ? extends < a href = "OnnxTensorLike.html" title = "class in ai.onnxruntime" > OnnxTensorLike< / a > > inputs,
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java.util.Set< java.lang.String> requestedOutputs,
< a href = "OrtSession.RunOptions.html" title = "class in ai.onnxruntime" > OrtSession.RunOptions< / a > runOptions)
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
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< div class = "block" > Scores an input feed dict, returning the map of requested inferred outputs.
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< p > The outputs are sorted based on the supplied set traversal order.< / div >
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< dl >
< dt > < span class = "paramLabel" > Parameters:< / span > < / dt >
< dd > < code > inputs< / code > - The inputs to score.< / dd >
< dd > < code > requestedOutputs< / code > - The requested outputs.< / dd >
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< dd > < code > runOptions< / code > - The RunOptions to control this run.< / dd >
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< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The inferred outputs.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
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< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If there was an error in native code, the input or output names are
invalid, or if there are zero or too many inputs or outputs.< / dd >
< / dl >
< / li >
< / ul >
< a id = "getMetadata()" >
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< / a >
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< h4 > getMetadata< / h4 >
< pre class = "methodSignature" > public < a href = "OnnxModelMetadata.html" title = "class in ai.onnxruntime" > OnnxModelMetadata< / a > getMetadata()
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
< div class = "block" > Gets the metadata for the currently loaded model.< / div >
< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The metadata.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If the native call failed.< / dd >
< / dl >
< / li >
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< a id = "getProfilingStartTimeInNs()" >
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< ul class = "blockList" >
< li class = "blockList" >
< h4 > getProfilingStartTimeInNs< / h4 >
< pre class = "methodSignature" > public long getProfilingStartTimeInNs()
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
< div class = "block" > Returns the timestamp that profiling started in nanoseconds.< / div >
< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > the profiling start time in ns.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If the native call failed.< / dd >
< / dl >
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< h4 > endProfiling< / h4 >
< pre class = "methodSignature" > public java.lang.String endProfiling()
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
< div class = "block" > Ends the profiling session and returns the output of the profiler.
< p > Profiling should be enabled in the < a href = "OrtSession.SessionOptions.html" title = "class in ai.onnxruntime" > < code > OrtSession.SessionOptions< / code > < / a > used to construct this < code >
Session< / code > .< / div >
< dl >
< dt > < span class = "returnLabel" > Returns:< / span > < / dt >
< dd > The profiling output.< / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If the native call failed.< / dd >
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< a id = "toString()" >
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< h4 > toString< / h4 >
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< pre class = "methodSignature" > public java.lang.String toString()< / pre >
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< dl >
< dt > < span class = "overrideSpecifyLabel" > Overrides:< / span > < / dt >
< dd > < code > toString< / code > in class < code > java.lang.Object< / code > < / dd >
< / dl >
< / li >
< / ul >
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< a id = "close()" >
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< li class = "blockList" >
< h4 > close< / h4 >
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< pre class = "methodSignature" > public void close()
throws < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / pre >
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< div class = "block" > Closes the session, releasing it's resources.< / div >
< dl >
< dt > < span class = "overrideSpecifyLabel" > Specified by:< / span > < / dt >
< dd > < code > close< / code > in interface < code > java.lang.AutoCloseable< / code > < / dd >
< dt > < span class = "throwsLabel" > Throws:< / span > < / dt >
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< dd > < code > < a href = "OrtException.html" title = "class in ai.onnxruntime" > OrtException< / a > < / code > - If it failed to close.< / dd >
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< / dl >
< / li >
< / ul >
< / li >
< / ul >
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< / section >
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< / li >
< / ul >
< / div >
< / div >
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