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[MXNET-50] Scala Inference APIs (apache#9678)
* Scala Inference APIs * fix unit tests for shape.length == layout.length in DataDesc * make ThreadPoolHandler of size 1 * Rename PredictBase to Predictor * change classify output from List to IndexedSeq * modify MXNetHandler to check if the task is executing on the same thread that created the handler * add argument epoch for Predictor/Classifier
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| <?xml version="1.0" encoding="UTF-8"?> | ||
| <project xmlns="http://maven.apache.org/POM/4.0.0" | ||
| xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
| xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> | ||
| <parent> | ||
| <artifactId>mxnet-parent_2.11</artifactId> | ||
| <groupId>ml.dmlc.mxnet</groupId> | ||
| <version>1.2.0-SNAPSHOT</version> | ||
| </parent> | ||
| <modelVersion>4.0.0</modelVersion> | ||
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| <artifactId>mxnet-infer</artifactId> | ||
| <name>MXNet Scala Package - Inference</name> | ||
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| <profiles> | ||
| <profile> | ||
| <id>osx-x86_64-cpu</id> | ||
| <properties> | ||
| <platform>osx-x86_64-cpu</platform> | ||
| </properties> | ||
| </profile> | ||
| <profile> | ||
| <id>linux-x86_64-cpu</id> | ||
| <properties> | ||
| <platform>linux-x86_64-cpu</platform> | ||
| </properties> | ||
| </profile> | ||
| <profile> | ||
| <id>linux-x86_64-gpu</id> | ||
| <properties> | ||
| <platform>linux-x86_64-gpu</platform> | ||
| </properties> | ||
| </profile> | ||
| </profiles> | ||
|
|
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| <build> | ||
| <plugins> | ||
| <plugin> | ||
| <groupId>org.apache.maven.plugins</groupId> | ||
| <artifactId>maven-jar-plugin</artifactId> | ||
| <configuration> | ||
| <excludes> | ||
| <exclude>META-INF/*.SF</exclude> | ||
| <exclude>META-INF/*.DSA</exclude> | ||
| <exclude>META-INF/*.RSA</exclude> | ||
| </excludes> | ||
| </configuration> | ||
| </plugin> | ||
| <plugin> | ||
| <groupId>org.apache.maven.plugins</groupId> | ||
| <artifactId>maven-compiler-plugin</artifactId> | ||
| </plugin> | ||
| <plugin> | ||
| <groupId>org.scalatest</groupId> | ||
| <artifactId>scalatest-maven-plugin</artifactId> | ||
| <configuration> | ||
| <argLine> | ||
| -Djava.library.path=${project.parent.basedir}/native/${platform}/target \ | ||
| -Dlog4j.configuration=file://${project.basedir}/src/test/resources/log4j.properties | ||
| </argLine> | ||
| </configuration> | ||
| </plugin> | ||
| <plugin> | ||
| <groupId>org.scalastyle</groupId> | ||
| <artifactId>scalastyle-maven-plugin</artifactId> | ||
| </plugin> | ||
| </plugins> | ||
| </build> | ||
| <dependencies> | ||
| <dependency> | ||
| <groupId>ml.dmlc.mxnet</groupId> | ||
| <artifactId>mxnet-core_${scala.binary.version}</artifactId> | ||
| <version>1.2.0-SNAPSHOT</version> | ||
| <scope>provided</scope> | ||
| </dependency> | ||
| <!-- https://mvnrepository.com/artifact/org.mockito/mockito-all --> | ||
| <dependency> | ||
| <groupId>org.mockito</groupId> | ||
| <artifactId>mockito-all</artifactId> | ||
| <version>1.10.19</version> | ||
| <scope>test</scope> | ||
| </dependency> | ||
| </dependencies> | ||
| </project> |
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scala-package/infer/src/main/scala/ml/dmlc/mxnet/infer/Classifier.scala
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You under the Apache License, Version 2.0 | ||
| * (the "License"); you may not use this file except in compliance with | ||
| * the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package ml.dmlc.mxnet.infer | ||
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| import ml.dmlc.mxnet.{Context, DataDesc, NDArray} | ||
| import java.io.File | ||
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| import org.slf4j.LoggerFactory | ||
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| import scala.io | ||
| import scala.collection.mutable.ListBuffer | ||
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| trait ClassifierBase { | ||
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| /** | ||
| * Takes an Array of Floats and returns corresponding labels, score tuples. | ||
| * @param input: IndexedSequence one-dimensional array of Floats. | ||
| * @param topK: (Optional) How many top_k(sorting will be based on the last axis) | ||
| * elements to return, if not passed returns unsorted output. | ||
| * @return IndexedSequence of (Label, Score) tuples. | ||
| */ | ||
| def classify(input: IndexedSeq[Array[Float]], | ||
| topK: Option[Int] = None): IndexedSeq[(String, Float)] | ||
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| /** | ||
| * Takes a Sequence of NDArrays and returns Label, Score tuples. | ||
| * @param input: Indexed Sequence of NDArrays | ||
| * @param topK: (Optional) How many top_k(sorting will be based on the last axis) | ||
| * elements to return, if not passed returns unsorted output. | ||
| * @return Traversable Sequence of (Label, Score) tuple | ||
| */ | ||
| def classifyWithNDArray(input: IndexedSeq[NDArray], | ||
| topK: Option[Int] = None): IndexedSeq[IndexedSeq[(String, Float)]] | ||
| } | ||
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| /** | ||
| * A class for classifier tasks | ||
| * @param modelPathPrefix PathPrefix from where to load the symbol, parameters and synset.txt | ||
| * Example: file://model-dir/resnet-152(containing resnet-152-symbol.json | ||
| * file://model-dir/synset.txt | ||
| * @param inputDescriptors Descriptors defining the input node names, shape, | ||
| * layout and Type parameters | ||
| * @param contexts Device Contexts on which you want to run Inference, defaults to CPU. | ||
| * @param epoch Model epoch to load, defaults to 0. | ||
| */ | ||
| class Classifier(modelPathPrefix: String, | ||
| protected val inputDescriptors: IndexedSeq[DataDesc], | ||
| protected val contexts: Array[Context] = Context.cpu(), | ||
| protected val epoch: Option[Int] = Some(0)) | ||
| extends ClassifierBase { | ||
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| private val logger = LoggerFactory.getLogger(classOf[Classifier]) | ||
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| protected[infer] val predictor: PredictBase = getPredictor() | ||
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| protected[infer] val synsetFilePath = getSynsetFilePath(modelPathPrefix) | ||
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| protected[infer] val synset = readSynsetFile(synsetFilePath) | ||
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| protected[infer] val handler = MXNetHandler() | ||
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| /** | ||
| * Takes a flat arrays as input and returns a List of (Label, tuple) | ||
| * @param input: IndexedSequence one-dimensional array of Floats. | ||
| * @param topK: (Optional) How many top_k(sorting will be based on the last axis) | ||
| * elements to return, if not passed returns unsorted output. | ||
| * @return IndexedSequence of (Label, Score) tuples. | ||
| */ | ||
| override def classify(input: IndexedSeq[Array[Float]], | ||
| topK: Option[Int] = None): IndexedSeq[(String, Float)] = { | ||
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| // considering only the first output | ||
| val predictResult = predictor.predict(input)(0) | ||
| var result: IndexedSeq[(String, Float)] = IndexedSeq.empty | ||
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| if (topK.isDefined) { | ||
| val sortedIndex = predictResult.zipWithIndex.sortBy(-_._1).map(_._2).take(topK.get) | ||
| result = sortedIndex.map(i => (synset(i), predictResult(i))).toIndexedSeq | ||
| } else { | ||
| result = synset.zip(predictResult).toIndexedSeq | ||
| } | ||
| result | ||
| } | ||
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| /** | ||
| * Takes input as NDArrays, useful when you want to perform multiple operations on | ||
| * the input Array or when you want to pass a batch of input. | ||
| * @param input: Indexed Sequence of NDArrays | ||
| * @param topK: (Optional) How many top_k(sorting will be based on the last axis) | ||
| * elements to return, if not passed returns unsorted output. | ||
| * @return Traversable Sequence of (Label, Score) tuple | ||
| */ | ||
| override def classifyWithNDArray(input: IndexedSeq[NDArray], topK: Option[Int] = None) | ||
| : IndexedSeq[IndexedSeq[(String, Float)]] = { | ||
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| // considering only the first output | ||
| val predictResultND: NDArray = predictor.predictWithNDArray(input)(0) | ||
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| val predictResult: ListBuffer[Array[Float]] = ListBuffer[Array[Float]]() | ||
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| // iterating over the individual items(batch size is in axis 0) | ||
| for (i <- 0 until predictResultND.shape(0)) { | ||
| val r = predictResultND.at(i) | ||
| predictResult += r.toArray | ||
| r.dispose() | ||
| } | ||
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| var result: ListBuffer[IndexedSeq[(String, Float)]] = | ||
| ListBuffer.empty[IndexedSeq[(String, Float)]] | ||
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| if (topK.isDefined) { | ||
| val sortedIndices = predictResult.map(r => | ||
| r.zipWithIndex.sortBy(-_._1).map(_._2).take(topK.get) | ||
| ) | ||
| for (i <- sortedIndices.indices) { | ||
| result += sortedIndices(i).map(sIndx => | ||
| (synset(sIndx), predictResult(i)(sIndx))).toIndexedSeq | ||
| } | ||
| } else { | ||
| for (i <- predictResult.indices) { | ||
| result += synset.zip(predictResult(i)).toIndexedSeq | ||
| } | ||
| } | ||
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| handler.execute(predictResultND.dispose()) | ||
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| result.toIndexedSeq | ||
| } | ||
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| private[infer] def getSynsetFilePath(modelPathPrefix: String): String = { | ||
| val dirPath = modelPathPrefix.substring(0, 1 + modelPathPrefix.lastIndexOf(File.separator)) | ||
| val d = new File(dirPath) | ||
| require(d.exists && d.isDirectory, "directory: %s not found".format(dirPath)) | ||
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| val s = new File(dirPath + "synset.txt") | ||
| require(s.exists() && s.isFile, "File synset.txt should exist inside modelPath: %s".format | ||
| (dirPath + "synset.txt")) | ||
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| s.getCanonicalPath | ||
| } | ||
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| private[infer] def readSynsetFile(synsetFilePath: String): IndexedSeq[String] = { | ||
| val f = io.Source.fromFile(synsetFilePath) | ||
| try { | ||
| f.getLines().toIndexedSeq | ||
| } finally { | ||
| f.close | ||
| } | ||
| } | ||
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| private[infer] def getPredictor(): PredictBase = { | ||
| new Predictor(modelPathPrefix, inputDescriptors, contexts, epoch) | ||
| } | ||
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| } |
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