mirror of
https://github.com/morgan9e/macos-stats
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212 lines
7.7 KiB
Swift
212 lines
7.7 KiB
Swift
//
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// reader.swift
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// GPU
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//
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// Created by Serhiy Mytrovtsiy on 17/08/2020.
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// Using Swift 5.0.
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// Running on macOS 10.15.
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//
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// Copyright © 2020 Serhiy Mytrovtsiy. All rights reserved.
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//
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import Cocoa
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import Kit
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public struct device {
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public let vendor: String?
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public let model: String
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public let pci: String
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public var used: Bool
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}
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let vendors: [Data: String] = [
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Data.init([0x86, 0x80, 0x00, 0x00]): "Intel",
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Data.init([0x02, 0x10, 0x00, 0x00]): "AMD"
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]
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internal class InfoReader: Reader<GPUs> {
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private var gpus: GPUs = GPUs()
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private var displays: [gpu_s] = []
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private var devices: [device] = []
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public override func setup() {
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if let list = SystemKit.shared.device.info.gpu {
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self.displays = list
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}
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guard let PCIdevices = fetchIOService("IOPCIDevice") else {
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return
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}
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let devices = PCIdevices.filter{ $0.object(forKey: "IOName") as? String == "display" }
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devices.forEach { (dict: NSDictionary) in
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guard let deviceID = dict["device-id"] as? Data, let vendorID = dict["vendor-id"] as? Data else {
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error("device-id or vendor-id not found", log: self.log)
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return
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}
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let pci = "0x" + Data([deviceID[1], deviceID[0], vendorID[1], vendorID[0]]).map { String(format: "%02hhX", $0) }.joined().lowercased()
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guard let modelData = dict["model"] as? Data, let modelName = String(data: modelData, encoding: .ascii) else {
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error("GPU model not found", log: self.log)
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return
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}
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let model = modelName.replacingOccurrences(of: "\0", with: "")
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var vendor: String? = nil
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if let v = vendors.first(where: { $0.key == vendorID }) {
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vendor = v.value
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}
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self.devices.append(device(
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vendor: vendor,
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model: model,
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pci: pci,
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used: false
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))
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}
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}
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public override func read() {
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guard let accelerators = fetchIOService(kIOAcceleratorClassName) else {
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return
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}
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var devices = self.devices
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for (index, accelerator) in accelerators.enumerated() {
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guard let IOClass = accelerator.object(forKey: "IOClass") as? String else {
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error("IOClass not found", log: self.log)
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return
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}
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guard let stats = accelerator["PerformanceStatistics"] as? [String: Any] else {
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error("PerformanceStatistics not found", log: self.log)
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return
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}
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var id: String = ""
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var vendor: String? = nil
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var model: String = ""
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var cores: Int? = nil
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let accMatch = (accelerator["IOPCIMatch"] as? String ?? accelerator["IOPCIPrimaryMatch"] as? String ?? "").lowercased()
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for (i, device) in devices.enumerated() {
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if accMatch.range(of: device.pci) != nil && !device.used {
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model = device.model
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vendor = device.vendor
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id = "\(model) #\(index)"
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devices[i].used = true
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break
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}
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}
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let ioClass = IOClass.lowercased()
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var predictModel = ""
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var type: GPU_types = .unknown
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let utilization: Int? = stats["Device Utilization %"] as? Int ?? stats["GPU Activity(%)"] as? Int ?? nil
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let renderUtilization: Int? = stats["Renderer Utilization %"] as? Int ?? nil
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let tilerUtilization: Int? = stats["Tiler Utilization %"] as? Int ?? nil
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var temperature: Int? = stats["Temperature(C)"] as? Int ?? nil
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let fanSpeed: Int? = stats["Fan Speed(%)"] as? Int ?? nil
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let coreClock: Int? = stats["Core Clock(MHz)"] as? Int ?? nil
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let memoryClock: Int? = stats["Memory Clock(MHz)"] as? Int ?? nil
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if ioClass == "nvaccelerator" || ioClass.contains("nvidia") { // nvidia
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predictModel = "Nvidia Graphics"
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type = .discrete
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} else if ioClass.contains("amd") { // amd
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predictModel = "AMD Graphics"
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type = .discrete
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if temperature == nil || temperature == 0 {
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if let tmp = SMC.shared.getValue("TGDD"), tmp != 128 {
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temperature = Int(tmp)
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}
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}
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} else if ioClass.contains("intel") { // intel
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predictModel = "Intel Graphics"
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type = .integrated
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if temperature == nil || temperature == 0 {
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if let tmp = SMC.shared.getValue("TCGC"), tmp != 128 {
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temperature = Int(tmp)
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}
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}
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} else if ioClass.contains("agx") { // apple
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predictModel = stats["model"] as? String ?? "Apple Graphics"
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if let display = self.displays.first(where: { $0.vendor == "sppci_vendor_Apple" }) {
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if let name = display.name {
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predictModel = name
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}
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if let num = display.cores {
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cores = num
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}
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}
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type = .integrated
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} else {
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predictModel = "Unknown"
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type = .unknown
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}
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if model == "" {
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model = predictModel
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}
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if let v = vendor {
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model = model.removedRegexMatches(pattern: v, replaceWith: "").trimmingCharacters(in: .whitespacesAndNewlines)
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}
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if self.gpus.list.first(where: { $0.id == id }) == nil {
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self.gpus.list.append(GPU_Info(
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id: id,
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type: type.rawValue,
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IOClass: IOClass,
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vendor: vendor,
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model: model,
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cores: cores
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))
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}
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guard let idx = self.gpus.list.firstIndex(where: { $0.id == id }) else {
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return
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}
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if let agcInfo = accelerator["AGCInfo"] as? [String: Int], let state = agcInfo["poweredOffByAGC"] {
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self.gpus.list[idx].state = state == 0
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}
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if var value = utilization {
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if value > 100 {
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value = 100
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}
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self.gpus.list[idx].utilization = Double(value)/100
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}
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if var value = renderUtilization {
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if value > 100 {
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value = 100
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}
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self.gpus.list[idx].renderUtilization = Double(value)/100
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}
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if var value = tilerUtilization {
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if value > 100 {
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value = 100
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}
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self.gpus.list[idx].tilerUtilization = Double(value)/100
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}
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if let value = temperature {
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self.gpus.list[idx].temperature = Double(value)
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}
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if let value = fanSpeed {
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self.gpus.list[idx].fanSpeed = value
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}
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if let value = coreClock {
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self.gpus.list[idx].coreClock = value
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}
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if let value = memoryClock {
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self.gpus.list[idx].memoryClock = value
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}
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}
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self.gpus.list.sort{ !$0.state && $1.state }
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self.callback(self.gpus)
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}
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}
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