Best Python code snippet using robotframework-ioslibrary_python
energy_meter_device.py
Source:energy_meter_device.py
...62 __name='energy_meter_usblink'63 def open(self):64 print self.__name+"::open()"65 self.serial_device=serial.Serial(self.serial_device_path, 57600, timeout=1) #create and open device as a Serial object66 def set_device(self,key):67 print self.__name+"::set_device(key)"68 self.serial_device.write(key);69 line = self.serial_device.readline()70 def information(self,log):71 print self.__name+"::information(log)"72 print '\nshow serial information:\n'73 log.log('serial path: '+self.serial_device_path)74 ##Plink version75#todo or not: use self.set_device("*VER")76 self.serial_device.write("*VER");77 line = self.serial_device.readline()78 #print("*VER=|"+line+"|")79 log.log('device USB-Plink '+line)80 ##power head name81#todo or not: use self.set_device("*NAM")82 self.serial_device.write("*NAM");83 line=self.serial_device.readline()84 #print("*NAM=|"+line+"|")85 self.device_head=line86 log.log('with head '+self.device_head)87 def value(self):88 print self.__name+"::value()"89 #ask and get data90 self.set_device("*CVU")91 ##line = "123.456"92 line = self.serial_device.readline()93 #print("*CVU=|"+line+"|\n")94 if (self.frequency>0):95 val=float(line)*1000/self.frequency #mJ96 else:97 val=float(line)*1000 #mW98 return val99 def set_zero(self):100 print self.__name+"::set_zero()"101 self.set_device("*SOU");102 line = self.serial_device.readline()103 line = self.serial_device.readline()104 line = self.serial_device.readline()105 def set_wavelength(self,value):106 print self.__name+"::set_wavelength(value)"107 strValue='{:05d}'.format(value)108 print "set "+strValue+" nm."109#todo or not: use self.set_device("*PWC"+strValue)110 self.serial_device.write("*PWC"+strValue);111 line = self.serial_device.readline()112 #print("*PWC"+strValue+"=|"+line+"|")113 line=line.replace('\n','').replace('\r','')114 if(line!="ACK"):115 print("Warning: no acknowledgement received (e.g. ACK!="+line+").?")116 def get_wavelength(self):117 print self.__name+"::get_wavelength()"118 #many information119#todo: use self.set_device("*F01")120 self.set_device("*F01")121 line = self.serial_device.readline()122# print("*F01=|"+line+"|")123 device_info=line.split("\t")124 125# for i in range(0,len(device_info)-1,2):126# print('device_info['+str(i)+']('+device_info[i]+')='+device_info[i+1])+' ['+str(i+1)+']'127 128# print('dev.'+device_info[4]+'='+device_info[5])129 device_wavelength=int(device_info[5])130# print "get "+str(device_wavelength)+" nm."131 return device_wavelength;132 def get_wavelength_str(self):133 print self.__name+"::get_wavelength_str()"134 #many information135 self.set_device("*F01");136 line = ser.readline()137 device_info=line.split("\t")138 #single one139 device_wavelength=device_info[4]+'='+device_info[5]+" nm"140 return device_wavelength;141 def get_anticipation(self):142 print self.__name+"::get_anticipation()"143 #many information144#todo: use self.set_device("*F02")145 self.serial_device.write("*F02");146 line = self.serial_device.readline()147 line = self.serial_device.readline()148 device_info=line.split("\t")149 device_anticipation=int(device_info[25])150 return device_anticipation;151 def set_anticipation_ON(self):152 print self.__name+"::set_anticipation_ON()"153 self.set_device("*ANT")154 def set_anticipation_OFF(self):155 print self.__name+"::set_anticipation_OFF()"156 self.set_device("*ANF")...
user_device.py
Source:user_device.py
...18class BaseBoard:19 def __init__(self):20 self.device = None21 def info(self):22 return self.set_device(WMI.Win32_BaseBoard()[0])23 def set_device(self, data):24 self.device = data25 return data26 def model(self):27 return self.device.Product28 def manufacturer(self):29 return self.device.Manufacturer30class Chipset:31 def __init__(self):32 self.device = None33 def processor_info(self):34 return WMI.Win32_Processor()[0]35 def processor_name(self):36 processor = self.processor_info()37 if processor.Manufacturer == 'AuthenticAMD':38 caption = 'AMD_Chipset_Drivers'39 elif processor.Manufacturer == 'GenuineIntel':40 caption = 'Intel(R) Chipset Device Software'41 return caption42 def info(self):43 processor = self.processor_name()44 return self.set_device(WMI.Win32_Product(caption=processor)[0])45 def set_device(self, data):46 self.device = data47 return data48 def name(self):49 return self.device.Name.replace('_', ' ')50 def version(self):51 return self.device.Version52class BIOS:53 def __init__(self):54 self.device = None55 def info(self):56 data = WMI.Win32_BIOS()[0]57 return self.set_device(data)58 def set_device(self, data):59 self.device = data60 return data61 def name(self):62 return 'BIOS'63 def version(self):64 return self.device.SMBIOSBIOSVersion65 def release_date(self):66 return format_date(self.device.ReleaseDate)67class BoardLAN:68 # Detects all network LAN adapters in user's system69 def lan_adapters(self):70 wql = "SELECT * FROM Win32_NetworkAdapter WHERE NetConnectionID LIKE 'Ethernet%' and PNPDeviceID LIKE 'PCI%'"71 return WMI.query(wql) 72class LAN:73 def __init__(self):74 self.device = None75 def info(self):76 data = WMI.Win32_PnpSignedDriver(deviceclass='NET', devicename=self.device.ProductName)[0]77 return self.set_device(data)78 def set_device(self, data):79 self.device = data80 return data81 def name(self):82 return self.device.DeviceName83 def version(self):84 return self.device.DriverVersion85 86 def release_date(self):87 return format_date(self.device.DriverDate)88class Audio:89 def __init__(self):90 self.device = None91 def board_audio(self):92 return WMI.Win32_SoundDevice()[0]93 def info(self):94 sound_device = self.board_audio()95 data = WMI.Win32_PnpSignedDriver(deviceclass='MEDIA', devicename=sound_device.Name)[0]96 return self.set_device(data)97 def set_device(self, data):98 self.device = data99 return data100 def name(self):101 return self.device.DeviceName102 def version(self):103 return self.device.DriverVersion104 def release_date(self):105 return format_date(self.device.DriverDate)106class VGA:107 def __init__(self):108 self.device = None109 def info(self):110 for vga in WMI.Win32_VideoController(adapterdactype='Internal'):111 return self.set_device(vga)112 def set_device(self, data):113 self.device = data114 return data115 def name(self):116 return self.device.Name117 def version(self):118 if self.device:119 return self.device.DriverVersion120 return None121 def release_date(self):122 if self.device:123 return format_date(self.device.DriverDate)124 return None125class WiFi:126 def __init__(self):127 self.device = None128 def board_wifi(self):129 for wifi in WMI.Win32_NetworkAdapter(netconnectionid='Wi-Fi'):130 return wifi131 def info(self):132 board_wifi = self.board_wifi()133 if board_wifi:134 for wifi in WMI.Win32_PnpSignedDriver(deviceclass='NET', devicename=board_wifi.ProductName):135 return self.set_device(wifi)136 return None137 def set_device(self, data):138 self.device = data139 return data140 def name(self):141 return self.device.DeviceName142 def version(self):143 if self.wifi:144 return self.device.DriverVersion145 return None146 def release_date(self):147 if self.device:148 return format_date(self.device.DriverDate)149class Bluetooth:150 def __init__(self):151 self.device = None152 def info(self):153 for bluetooth in WMI.Win32_PnpSignedDriver(deviceclass='BLUETOOTH'):154 return self.set_device(bluetooth)155 return None156 def set_device(self, data):157 self.device = data158 return data159 def name(self):160 return self.device.DeviceName161 def version(self):162 if self.device:163 return self.device.DriverVersion164 return None165 def release_date(self):166 if self.device:167 return format_date(self.device.DriverDate)168 return None169def find_driver_class(driver):170 driver_class = {...
test_multi_gpu.py
Source:test_multi_gpu.py
...8 if torch.cuda.device_count() < 2:9 self.fail(10 "Test is not relevant for this platform since number of available CUDA devices is less than 2"11 )12 torchtrt.set_device(0)13 self.target_gpu = 114 self.input = torch.randn((1, 3, 224, 224)).to("cuda:1")15 self.model = self.model.to("cuda:1")16 self.traced_model = torch.jit.trace(self.model, [self.input])17 self.scripted_model = torch.jit.script(self.model)18 def test_compile_traced(self):19 torchtrt.set_device(0)20 compile_spec = {21 "inputs": [torchtrt.Input(self.input.shape)],22 "device": {23 "device_type": torchtrt.DeviceType.GPU,24 "gpu_id": self.target_gpu,25 "dla_core": 0,26 "allow_gpu_fallback": False,27 "disable_tf32": False,28 },29 }30 trt_mod = torchtrt.ts.compile(self.traced_model, **compile_spec)31 torchtrt.set_device(self.target_gpu)32 same = (trt_mod(self.input) - self.traced_model(self.input)).abs().max()33 torchtrt.set_device(0)34 self.assertTrue(same < 2e-3)35 def test_compile_script(self):36 torchtrt.set_device(0)37 compile_spec = {38 "inputs": [torchtrt.Input(self.input.shape)],39 "device": {40 "device_type": torchtrt.DeviceType.GPU,41 "gpu_id": self.target_gpu,42 "dla_core": 0,43 "allow_gpu_fallback": False,44 "disable_tf32": False,45 },46 }47 trt_mod = torchtrt.ts.compile(self.scripted_model, **compile_spec)48 torchtrt.set_device(self.target_gpu)49 same = (trt_mod(self.input) - self.scripted_model(self.input)).abs().max()50 torchtrt.set_device(0)51 self.assertTrue(same < 2e-3)52class TestMultiGpuSerializeDeserializeSwitching(ModelTestCase):53 def setUp(self):54 if torch.cuda.device_count() < 2:55 self.fail(56 "Test is not relevant for this platform since number of available CUDA devices is less than 2"57 )58 self.target_gpu = 059 torchtrt.set_device(0)60 self.input = torch.randn((1, 3, 224, 224)).to("cuda:0")61 self.model = self.model.to("cuda:0")62 self.traced_model = torch.jit.trace(self.model, [self.input])63 self.scripted_model = torch.jit.script(self.model)64 def test_compile_traced(self):65 torchtrt.set_device(0)66 compile_spec = {67 "inputs": [torchtrt.Input(self.input.shape)],68 "device": {69 "device_type": torchtrt.DeviceType.GPU,70 "gpu_id": self.target_gpu,71 "dla_core": 0,72 "allow_gpu_fallback": False,73 "disable_tf32": False,74 },75 }76 trt_mod = torchtrt.ts.compile(self.traced_model, **compile_spec)77 # Changing the device ID deliberately. It should still run on correct device ID by context switching78 torchtrt.set_device(1)79 same = (trt_mod(self.input) - self.traced_model(self.input)).abs().max()80 self.assertTrue(same < 2e-3)81 def test_compile_script(self):82 torchtrt.set_device(0)83 compile_spec = {84 "inputs": [torchtrt.Input(self.input.shape)],85 "device": {86 "device_type": torchtrt.DeviceType.GPU,87 "gpu_id": self.target_gpu,88 "dla_core": 0,89 "allow_gpu_fallback": False,90 "disable_tf32": False,91 },92 }93 trt_mod = torchtrt.ts.compile(self.scripted_model, **compile_spec)94 # Changing the device ID deliberately. It should still run on correct device ID by context switching95 torchtrt.set_device(1)96 same = (trt_mod(self.input) - self.scripted_model(self.input)).abs().max()97 self.assertTrue(same < 2e-3)98def test_suite():99 suite = unittest.TestSuite()100 suite.addTest(101 TestMultiGpuSwitching.parametrize(102 TestMultiGpuSwitching, model=models.resnet18(pretrained=True)103 )104 )105 suite.addTest(106 TestMultiGpuSerializeDeserializeSwitching.parametrize(107 TestMultiGpuSwitching, model=models.resnet18(pretrained=True)108 )109 )...
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