07909cf049840ac40ff8d80509baba215e568aea,dev/benchmarks/openmp/test_openmp_3.py,,,#,3

Before Change


pylab.ylabel("// cell")
for t in threads:
    pylab.plot(results[t]["spikes"][0], results[t]["spikes"][1], ".")
pylab.legend(list(map(str, threads)))
//pylab.xlim(0.5, 0.6)

pylab.subplot(322)
pylab.title("Final Distribution")
pylab.xlabel("Weight [ns]")
pylab.ylabel("Number of synapses")
for t in threads:
    x, y = numpy.histogram(results[t]["w"], 100)
    pylab.plot(y[1:], x)
pylab.legend(list(map(str, threads)))

pylab.subplot(323)
pylab.title("Weight Evolution")
pylab.xlabel("Time [s]")
pylab.ylabel("Weight [ns]")
for t in threads:
    pylab.plot(results[t]["trace_w"].T[0])
pylab.legend(list(map(str, threads)))

pylab.subplot(324)
pylab.title("Weight Evolution")
pylab.xlabel("Time [s]")

After Change



filename = "example_standalone.py"
datapath = "data_example"
threads  = [0, 1, 2, 4, 6]
results  = {}
results["duration"] = []

for t in threads:
    start = time.time()
    os.system("python %s 1 %d" %(filename, t))
    with open("%s_%d/speed.txt" %(datapath, t), "r") as f:
        results["duration"] += [float(f.read())]
    results[t] = {}

for t in threads:
    results[t]  = {}
    path        = datapath + "_%d/" %t
    ids         = numpy.fromfile(path+"results/_dynamic_array_spikemonitor_i", dtype=numpy.int32)
    times       = numpy.fromfile(path+"results/_dynamic_array_spikemonitor_t", dtype=numpy.float64)
    w           = numpy.fromfile(path+"results/_dynamic_array_synapses_w", dtype=numpy.float64)
    times_w     = numpy.fromfile(path+"results/_dynamic_array_statemonitor_t", dtype=numpy.float64)
    w_over_time = numpy.fromfile(path+"results/_dynamic_array_statemonitor__recorded_w", dtype=numpy.float64)
    v_over_time = numpy.fromfile(path+"results/_dynamic_array_statemonitor_1__recorded_v", dtype=numpy.float64)
    times_v     = numpy.fromfile(path+"results/_dynamic_array_statemonitor_1_t", dtype=numpy.float64)
    results[t]["spikes"]  = (times, ids)
    results[t]["w"]       = w
    results[t]["trace_w"] = w_over_time.reshape(len(times_w), len(w_over_time)/len(times_w))
    results[t]["trace_v"] = v_over_time.reshape(len(times_v), len(v_over_time)/len(times_v))

results["colors"] = ["b", "g", "r", "c", "k"]

pylab.figure()
pylab.subplot(321)
pylab.title("Raster plots")
pylab.xlabel("Time [s]")
pylab.ylabel("// cell")
for t in threads:
    pylab.plot(results[t]["spikes"][0], results[t]["spikes"][1], ".")
pylab.legend([str(t) for t in threads])
//pylab.xlim(0.5, 0.6)

pylab.subplot(322)
pylab.title("Final Distribution")
pylab.xlabel("Weight [ns]")
pylab.ylabel("Number of synapses")
for t in threads:
    x, y = numpy.histogram(results[t]["w"], 100)
    pylab.plot(y[1:], x)
pylab.legend([str(t) for t in threads])

pylab.subplot(323)
pylab.title("Weight Evolution")
pylab.xlabel("Time [s]")
pylab.ylabel("Weight [ns]")
for t in threads:
    pylab.plot(results[t]["trace_w"].T[0])
pylab.legend([str(t) for t in threads])

pylab.subplot(324)
pylab.title("Weight Evolution")
pylab.xlabel("Time [s]")
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 27

Instances


Project Name: brian-team/brian2
Commit Name: 07909cf049840ac40ff8d80509baba215e568aea
Time: 2020-01-14
Author: ben.d.evans@gmail.com
File Name: dev/benchmarks/openmp/test_openmp_3.py
Class Name:
Method Name:


Project Name: brian-team/brian2
Commit Name: 07909cf049840ac40ff8d80509baba215e568aea
Time: 2020-01-14
Author: ben.d.evans@gmail.com
File Name: dev/benchmarks/openmp/test_openmp_4.py
Class Name:
Method Name:


Project Name: brian-team/brian2
Commit Name: 07909cf049840ac40ff8d80509baba215e568aea
Time: 2020-01-14
Author: ben.d.evans@gmail.com
File Name: dev/benchmarks/openmp/test_openmp_2.py
Class Name:
Method Name:


Project Name: brian-team/brian2
Commit Name: 07909cf049840ac40ff8d80509baba215e568aea
Time: 2020-01-14
Author: ben.d.evans@gmail.com
File Name: dev/benchmarks/openmp/test_openmp_3.py
Class Name:
Method Name: