# Copyright 2015-2017 ARM Limited # # Licensed 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. # import matplotlib import pandas as pd from test_thermal import BaseTestThermal import trappy import cpu_power class TestCpuPower(BaseTestThermal): def __init__(self, *args, **kwargs): super(TestCpuPower, self).__init__(*args, **kwargs) self.map_label = {"00000000,00000039": "A53", "00000000,00000006": "A57"} def test_pivot_with_labels(self): """Test pivot_with_labels()""" map_label = {"000000f0": "A15", "0000000f": "A7"} dfr_in = pd.DataFrame({'cpus': ["000000f0", "0000000f", "000000f0", "0000000f"], 'freq': [1, 3, 2, 6]}) dfr_out = cpu_power.pivot_with_labels(dfr_in, "freq", "cpus", map_label) self.assertEquals(dfr_out["A15"].iloc[0], 1) self.assertEquals(dfr_out["A15"].iloc[1], 1) self.assertEquals(dfr_out["A15"].iloc[2], 2) self.assertEquals(dfr_out["A7"].iloc[1], 3) def test_num_cpus_in_mask(self): """num_cpus_in_mask() works with the masks we usually use""" mask = "000000f0" self.assertEquals(cpu_power.num_cpus_in_mask(mask), 4) mask = sorted(self.map_label)[0] self.assertEquals(cpu_power.num_cpus_in_mask(mask), 2) mask = sorted(self.map_label)[1] self.assertEquals(cpu_power.num_cpus_in_mask(mask), 4) def test_cpuoutpower_dataframe(self): """Test that CpuOutPower() creates a proper data_frame""" outp = trappy.FTrace().cpu_out_power self.assertEquals(outp.data_frame["power"].iloc[0], 1344) self.assertTrue("cdev_state" in outp.data_frame.columns) def test_cpuoutpower_get_all_freqs(self): """Test CpuOutPower.get_all_freqs()""" dfr = trappy.FTrace().cpu_out_power.get_all_freqs(self.map_label) self.assertEquals(dfr["A57"].iloc[0], 1100) self.assertEquals(dfr["A53"].iloc[1], 850) def test_cpuinpower_get_dataframe(self): """Test that CpuInPower() creates a proper data_frame()""" inp = trappy.FTrace().cpu_in_power self.assertTrue("load0" in inp.data_frame.columns) self.assertEquals(inp.data_frame["load0"].iloc[0], 24) def test_cpuinpower_big_cpumask(self): """CpuInPower()'s data_frame is not confused by 64-bit cpumasks""" in_data = """ kworker/2:2-679 [002] 676.256284: thermal_power_cpu_get: cpus=00000000,0000000f freq=261888 cdev_state=5 power=12 kworker/2:2-679 [002] 676.276200: thermal_power_cpu_get: cpus=00000000,00000030 freq=261888 cdev_state=5 power=0 kworker/2:2-679 [002] 676.416202: thermal_power_cpu_get: cpus=00000000,0000000f freq=261888 cdev_state=5 power=0 """ with open("trace.txt", "w") as fout: fout.write(in_data) inp = trappy.FTrace(normalize_time=False).cpu_in_power self.assertEquals(round(inp.data_frame.index[0], 6), 676.256284) self.assertEquals(inp.data_frame["cpus"].iloc[1], "00000000,00000030") def test_cpuinpower_data_frame_asymmetric_clusters(self): """Test that CpuInPower()'s data_frame can handle asymmetric clusters That is 2 cpus in one cluster and 4 in another, like Juno """ in_data = """ kworker/2:2-679 [002] 676.256261: thermal_power_cpu_get: cpus=00000000,00000030 freq=1900000 raw_cpu_power=1259 load={74 49} power=451 kworker/2:2-679 [002] 676.256271: thermal_power_cpu_get: cpus=00000000,0000000f freq=450000 raw_cpu_power=36 load={1 2 1 3} power=9 """ with open("trace.txt", "w") as fout: fout.write(in_data) inp = trappy.FTrace(normalize_time=False).cpu_in_power self.assertEquals(inp.data_frame["load0"].iloc[0], 74) self.assertEquals(inp.data_frame["load1"].iloc[0], 49) self.assertEquals(inp.data_frame["load2"].iloc[0], 0) self.assertEquals(inp.data_frame["load3"].iloc[0], 0) self.assertEquals(inp.data_frame["load0"].iloc[1], 1) self.assertEquals(inp.data_frame["load1"].iloc[1], 2) self.assertEquals(inp.data_frame["load2"].iloc[1], 1) self.assertEquals(inp.data_frame["load3"].iloc[1], 3) def test_cpuinpower_get_all_freqs(self): """Test CpuInPower.get_all_freqs()""" dfr = trappy.FTrace().cpu_in_power.get_all_freqs(self.map_label) self.assertEquals(dfr["A57"].iloc[0], 1100) self.assertEquals(dfr["A53"].iloc[1], 850) self.assertEquals(dfr["A57"].iloc[5], 1100) def test_cpuinpower_get_load_data(self): """Test CpuInPower.get_load_data()""" trace = trappy.FTrace() first_load = trace.cpu_in_power.data_frame["load0"].iloc[0] load_data = trace.cpu_in_power.get_load_data(self.map_label) self.assertEquals(load_data["A57"].iloc[0], 24 + 19) self.assertEquals(load_data["A53"].iloc[3], 32 + 28 + 46 + 44) self.assertEquals(load_data["A57"].iloc[0], load_data["A57"].iloc[1]) self.assertEquals(trace.cpu_in_power.data_frame["load0"].iloc[0], first_load) def test_cpuinpower_get_normalized_load_data(self): """Test CpuInPower.get_normalized_load_data()""" trace = trappy.FTrace() first_load = trace.cpu_in_power.data_frame["load0"].iloc[0] load_data = trace.cpu_in_power.get_normalized_load_data(self.map_label) # Ideally the trace should have an event in which the cpus are # not running at maximum frequency self.assertEquals(load_data["A57"].iloc[0], (24. + 19) * 1100000 / (1100000 * 2)) self.assertEquals(load_data["A53"].iloc[1], (36. + 49 + 48 + 7) * 850000 / (850000 * 4)) self.assertEquals(trace.cpu_in_power.data_frame["load0"].iloc[0], first_load)