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| 1 | +@file:Suppress("UNCHECKED_CAST") |
| 2 | + |
| 3 | +import com.netflix.gradle.plugins.deb.Deb |
| 4 | + |
| 5 | +plugins { |
| 6 | + ai.djl.javaProject |
| 7 | + application |
| 8 | + id("com.netflix.nebula.ospackage") version "11.4.0" |
| 9 | +} |
| 10 | + |
| 11 | +dependencies { |
| 12 | + implementation(platform("ai.djl:bom:${version}")) |
| 13 | + implementation(project(":wlm")) |
| 14 | + |
| 15 | + implementation(libs.commons.cli) |
| 16 | + implementation(libs.apache.log4j.slf4j) |
| 17 | + implementation("ai.djl:model-zoo") |
| 18 | + |
| 19 | + runtimeOnly("ai.djl.pytorch:pytorch-model-zoo") |
| 20 | + runtimeOnly("ai.djl.tensorflow:tensorflow-model-zoo") |
| 21 | + runtimeOnly("ai.djl.mxnet:mxnet-model-zoo") |
| 22 | + runtimeOnly("ai.djl.ml.xgboost:xgboost") |
| 23 | + runtimeOnly("ai.djl.tensorrt:tensorrt") |
| 24 | + runtimeOnly("ai.djl.huggingface:tokenizers") |
| 25 | + runtimeOnly(project(":engines:python")) |
| 26 | + |
| 27 | + testImplementation(libs.testng) { |
| 28 | + exclude(group = "junit", module = "junit") |
| 29 | + } |
| 30 | + |
| 31 | + if (hasGpu) { |
| 32 | + runtimeOnly("ai.djl.onnxruntime:onnxruntime-engine") { |
| 33 | + exclude(group = "com.microsoft.onnxruntime", module = "onnxruntime") |
| 34 | + } |
| 35 | + runtimeOnly(libs.onnxruntime.gpu) |
| 36 | + } else { |
| 37 | + runtimeOnly("ai.djl.onnxruntime:onnxruntime-engine") |
| 38 | + } |
| 39 | +} |
| 40 | + |
| 41 | +tasks { |
| 42 | + application { |
| 43 | + mainClass = System.getProperty("main", "ai.djl.benchmark.Benchmark") |
| 44 | + } |
| 45 | + |
| 46 | + run.configure { |
| 47 | + environment("TF_CPP_MIN_LOG_LEVEL", "1") // turn off TensorFlow print out |
| 48 | + systemProperties = System.getProperties().toMap() as Map<String, Any> |
| 49 | + systemProperties.remove("user.dir") |
| 50 | + } |
| 51 | + |
| 52 | + register<JavaExec>("benchmark") { |
| 53 | + environment("TF_CPP_MIN_LOG_LEVEL", "1") // turn off TensorFlow print out |
| 54 | + val arguments = gradle.startParameter.taskRequests[0].args |
| 55 | + for (argument in arguments) { |
| 56 | + if (argument.trim().startsWith("--args")) { |
| 57 | + var line = argument.split("=", limit = 2) |
| 58 | + if (line.size == 2) { |
| 59 | + line = line[1].split(" ") |
| 60 | + if (line.contains("-t")) { |
| 61 | + if (System.getProperty("ai.djl.default_engine") == "TensorFlow") { |
| 62 | + environment("OMP_NUM_THREADS", "1") |
| 63 | + environment("TF_NUM_INTRAOP_THREADS", "1") |
| 64 | + } else { |
| 65 | + environment("MXNET_ENGINE_TYPE", "NaiveEngine") |
| 66 | + environment("OMP_NUM_THREADS", "1") |
| 67 | + } |
| 68 | + } |
| 69 | + break |
| 70 | + } |
| 71 | + } |
| 72 | + } |
| 73 | + |
| 74 | + systemProperties = System.getProperties().toMap() as Map<String, Any> |
| 75 | + systemProperties.remove("user.dir") |
| 76 | + classpath = sourceSets.main.get().runtimeClasspath |
| 77 | + // restrict the jvm heap size for better monitoring benchmark |
| 78 | + if (project.hasProperty("loggc")) { |
| 79 | + jvmArgs("-Xmx2g", "-Xlog:gc*=debug:file=build/gc.log") |
| 80 | + } else { |
| 81 | + jvmArgs("-Xmx2g") |
| 82 | + } |
| 83 | + mainClass = "ai.djl.benchmark.Benchmark" |
| 84 | + } |
| 85 | + |
| 86 | + register("prepareDeb") { |
| 87 | + dependsOn(distTar) |
| 88 | + doFirst { |
| 89 | + exec { |
| 90 | + commandLine( |
| 91 | + "tar", |
| 92 | + "xvf", |
| 93 | + "${buildDirectory}/distributions/benchmark-${version}.tar", |
| 94 | + "-C", |
| 95 | + "$buildDirectory" |
| 96 | + ) |
| 97 | + } |
| 98 | + } |
| 99 | + } |
| 100 | + |
| 101 | + register<Deb>("createDeb") { |
| 102 | + dependsOn("prepareDeb") |
| 103 | + |
| 104 | + packageName = "djl-bench" |
| 105 | + archiveVersion = version |
| 106 | + release = "1" |
| 107 | + maintainer = "Deep Java Library <[email protected]>" |
| 108 | + summary = "djl-bench is a command line tool that allows you to benchmark the\n" + |
| 109 | + " model on all different platforms for single-thread/multi-thread\n" + |
| 110 | + " inference performance." |
| 111 | + |
| 112 | + from(buildDirectory / "benchmark-${version}") { |
| 113 | + into("/usr/local/djl-bench-${version}") |
| 114 | + } |
| 115 | + link("/usr/bin/djl-bench", "/usr/local/djl-bench-${version}/bin/benchmark") |
| 116 | + } |
| 117 | + |
| 118 | + register<Exec>("installOnLinux") { |
| 119 | + dependsOn("createDeb") |
| 120 | + doFirst { |
| 121 | + if ("linux" in os) { |
| 122 | + val ver = version.toString().replace("-", "~") |
| 123 | + commandLine("sudo", "dpkg", "-i", "${buildDirectory}/distributions/djl-bench_${ver}-1_all.deb") |
| 124 | + } else { |
| 125 | + throw GradleException("task installOnLinux Only supported on Linux.") |
| 126 | + } |
| 127 | + } |
| 128 | + } |
| 129 | + |
| 130 | + startScripts { |
| 131 | + doLast { |
| 132 | + val replacement = "CLASSPATH=\\\$APP_HOME/lib/*\n\n" + |
| 133 | + "if [[ \"\\\$*\" == *-t* || \"\\\$*\" == *--threads* ]]\n" + |
| 134 | + "then\n" + |
| 135 | + " export TF_CPP_MIN_LOG_LEVEL=1\n" + |
| 136 | + " export MXNET_ENGINE_TYPE=NaiveEngine\n" + |
| 137 | + " export OMP_NUM_THREADS=1\n" + |
| 138 | + " export TF_NUM_INTRAOP_THREADS=1\n" + |
| 139 | + "fi" |
| 140 | + |
| 141 | + unixScript.text = unixScript.text |
| 142 | + .replace(Regex("CLASSPATH=\\\$APP_HOME/lib/.*"), replacement) |
| 143 | + .replace("/usr/bin/env sh", "/usr/bin/env bash") |
| 144 | + .replace("#!/bin/sh", "#!/bin/bash") |
| 145 | + } |
| 146 | + } |
| 147 | +} |
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