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| <h1>Predictor</h1><h3><span class="morelinks"><div>Related Doc: |
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| <div id="comment" class="fullcommenttop"><div class="comment cmt"><p>Implementation of prediction routines. |
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| <p class="shortcomment cmt"></p><div class="fullcomment"><div class="comment cmt"></div><dl class="paramcmts block"><dt class="param">modelPathPrefix</dt><dd class="cmt"><p>Path prefix from where to load the model artifacts. |
| These include the symbol, parameters, and synset.txt |
| Example: file://model-dir/resnet-152 (containing |
| resnet-152-symbol.json, resnet-152-0000.params, and synset.txt).</p></dd><dt class="param">inputDescriptors</dt><dd class="cmt"><p>Descriptors defining the input node names, shape, |
| layout and type parameters |
| Note: If the input Descriptors is missing batchSize |
| ('N' in layout), a batchSize of 1 is assumed for the model.</p></dd><dt class="param">contexts</dt><dd class="cmt"><p>Device contexts on which you want to run inference; defaults to CPU</p></dd><dt class="param">epoch</dt><dd class="cmt"><p>Model epoch to load; defaults to 0</p></dd></dl></div> |
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| <a id="predict(input:java.util.List[java.util.List[Float]]):java.util.List[java.util.List[Float]]"></a> |
| <a id="predict(List[List[Float]]):List[List[Float]]"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
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| <span class="symbol"> |
| <span class="name">predict</span><span class="params">(<span name="input">input: <span class="extype" name="java.util.List">List</span>[<span class="extype" name="java.util.List">List</span>[<span class="extype" name="java.lang.Float">Float</span>]]</span>)</span><span class="result">: <span class="extype" name="java.util.List">List</span>[<span class="extype" name="java.util.List">List</span>[<span class="extype" name="java.lang.Float">Float</span>]]</span> |
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| </span> |
| <p class="shortcomment cmt">Takes input as List of one dimensional iterables and creates the NDArray needed for inference |
| The array will be reshaped based on the input descriptors.</p><div class="fullcomment"><div class="comment cmt"><p>Takes input as List of one dimensional iterables and creates the NDArray needed for inference |
| The array will be reshaped based on the input descriptors. |
| </p></div><dl class="paramcmts block"><dt class="param">input</dt><dd class="cmt"><p>A List of a one-dimensional iterables of DType Float. |
| An extra List is needed for when the model has more than one input.</p></dd><dt>returns</dt><dd class="cmt"><p>Indexed sequence array of outputs</p></dd></dl></div> |
| </li><li name="org.apache.mxnet.infer.javaapi.Predictor#predict" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="predict(input:Array[Array[Double]]):Array[Array[Double]]"></a> |
| <a id="predict(Array[Array[Double]]):Array[Array[Double]]"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">def</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">predict</span><span class="params">(<span name="input">input: <span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Double">Double</span>]]</span>)</span><span class="result">: <span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Double">Double</span>]]</span> |
| </span> |
| </h4><span class="permalink"> |
| <a href="../../../../../index.html#org.apache.mxnet.infer.javaapi.Predictor@predict(input:Array[Array[Double]]):Array[Array[Double]]" title="Permalink" target="_top"> |
| <img src="../../../../../lib/permalink.png" alt="Permalink" /> |
| </a> |
| </span> |
| <p class="shortcomment cmt">Takes input as Array of one dimensional arrays and creates the NDArray needed for inference |
| The array will be reshaped based on the input descriptors.</p><div class="fullcomment"><div class="comment cmt"><p>Takes input as Array of one dimensional arrays and creates the NDArray needed for inference |
| The array will be reshaped based on the input descriptors. Example of calling in Java:</p><pre>double tmp[][] = <span class="kw">new</span> double[<span class="num">1</span>][<span class="num">224</span>]; |
| <span class="kw">for</span> (int x = <span class="num">0</span>; x < <span class="num">1</span>; x++) |
| <span class="kw">for</span> (int y = <span class="num">0</span>; y < <span class="num">224</span>; y++) |
| tmp[x][y] = (int)(Math.random()*<span class="num">10</span>); |
| predictor.predict(tmp);</pre></div><dl class="paramcmts block"><dt class="param">input</dt><dd class="cmt"><p>An Array of a one-dimensional array. |
| An extra Array is needed for when the model has more than one input.</p></dd><dt>returns</dt><dd class="cmt"><p>Indexed sequence array of outputs</p></dd></dl></div> |
| </li><li name="org.apache.mxnet.infer.javaapi.Predictor#predict" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="predict(input:Array[Array[Float]]):Array[Array[Float]]"></a> |
| <a id="predict(Array[Array[Float]]):Array[Array[Float]]"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">def</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">predict</span><span class="params">(<span name="input">input: <span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Float">Float</span>]]</span>)</span><span class="result">: <span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Array">Array</span>[<span class="extype" name="scala.Float">Float</span>]]</span> |
| </span> |
| </h4><span class="permalink"> |
| <a href="../../../../../index.html#org.apache.mxnet.infer.javaapi.Predictor@predict(input:Array[Array[Float]]):Array[Array[Float]]" title="Permalink" target="_top"> |
| <img src="../../../../../lib/permalink.png" alt="Permalink" /> |
| </a> |
| </span> |
| <p class="shortcomment cmt">Takes input as Array of one dimensional arrays and creates the NDArray needed for inference |
| The array will be reshaped based on the input descriptors.</p><div class="fullcomment"><div class="comment cmt"><p>Takes input as Array of one dimensional arrays and creates the NDArray needed for inference |
| The array will be reshaped based on the input descriptors. Example of calling in Java:</p><pre>float tmp[][] = <span class="kw">new</span> float[<span class="num">1</span>][<span class="num">224</span>]; |
| <span class="kw">for</span> (int x = <span class="num">0</span>; x < <span class="num">1</span>; x++) |
| <span class="kw">for</span> (int y = <span class="num">0</span>; y < <span class="num">224</span>; y++) |
| tmp[x][y] = (int)(Math.random()*<span class="num">10</span>); |
| predictor.predict(tmp);</pre></div><dl class="paramcmts block"><dt class="param">input</dt><dd class="cmt"><p>An Array of a one-dimensional array. |
| An extra Array is needed for when the model has more than one input.</p></dd><dt>returns</dt><dd class="cmt"><p>Indexed sequence array of outputs</p></dd></dl></div> |
| </li><li name="org.apache.mxnet.infer.javaapi.Predictor#predictWithNDArray" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped"> |
| <a id="predictWithNDArray(input:Iterable[org.apache.mxnet.javaapi.NDArray]):java.util.List[org.apache.mxnet.javaapi.NDArray]"></a> |
| <a id="predictWithNDArray(Iterable[javaapi.NDArray]):List[javaapi.NDArray]"></a> |
| <h4 class="signature"> |
| <span class="modifier_kind"> |
| <span class="modifier"></span> |
| <span class="kind">def</span> |
| </span> |
| <span class="symbol"> |
| <span class="name">predictWithNDArray</span><span class="params">(<span name="input">input: <span class="extype" name="java.lang.Iterable">Iterable</span>[<a href="../../javaapi/NDArray.html" class="extype" name="org.apache.mxnet.javaapi.NDArray">javaapi.NDArray</a>]</span>)</span><span class="result">: <span class="extype" name="java.util.List">List</span>[<a href="../../javaapi/NDArray.html" class="extype" name="org.apache.mxnet.javaapi.NDArray">javaapi.NDArray</a>]</span> |
| </span> |
| </h4><span class="permalink"> |
| <a href="../../../../../index.html#org.apache.mxnet.infer.javaapi.Predictor@predictWithNDArray(input:Iterable[org.apache.mxnet.javaapi.NDArray]):java.util.List[org.apache.mxnet.javaapi.NDArray]" title="Permalink" target="_top"> |
| <img src="../../../../../lib/permalink.png" alt="Permalink" /> |
| </a> |
| </span> |
| <p class="shortcomment cmt">Predict using NDArray as input |
| This method is useful when the input is a batch of data |
| Note: User is responsible for managing allocation/deallocation of input/output NDArrays.</p><div class="fullcomment"><div class="comment cmt"><p>Predict using NDArray as input |
| This method is useful when the input is a batch of data |
| Note: User is responsible for managing allocation/deallocation of input/output NDArrays. |
| </p></div><dl class="paramcmts block"><dt class="param">input</dt><dd class="cmt"><p>Iterable of NDArrays</p></dd><dt>returns</dt><dd class="cmt"><p>Output of predictions as NDArrays</p></dd></dl></div> |
| </li><li name="org.apache.mxnet.infer.javaapi.Predictor#predictor" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> |
| <a id="predictor:org.apache.mxnet.infer.Predictor"></a> |
| <a id="predictor:infer.Predictor"></a> |
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| <span class="name">predictor</span><span class="result">: <span class="extype" name="org.apache.mxnet.infer.Predictor">infer.Predictor</span></span> |
| </span> |
| </h4><span class="permalink"> |
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| </a> |
| </span> |
| <p class="shortcomment cmt">The underlying Scala predictor</p> |
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