コード例 #1
0
ファイル: core.py プロジェクト: CEPBEP/neurokernel
            self.log_info('input gpot port data: '+str(self.pm['gpot'][self.in_gpot_ports]))

            # Do something with input spike data:
            self.log_info('input spike port data: '+str(self.pm['spike'][self.in_spike_ports]))

            # Output random graded potential data:
            out_gpot_data = np.random.rand(len(self.out_gpot_ports))
            self.pm['gpot'][self.out_gpot_ports] = out_gpot_data
            self.log_info('output gpot port data: '+str(out_gpot_data))

            # Randomly select output ports to emit spikes:
            out_spike_data = np.random.randint(0, 2, len(self.out_spike_ports))
            self.pm['spike'][self.out_spike_ports] = out_spike_data
            self.log_info('output spike port data: '+str(out_spike_data))

    logger = mpi.setup_logger(screen=True, file_name='neurokernel.log',
                              mpi_comm=MPI.COMM_WORLD, multiline=True)

    man = Manager()

    m1_int_sel_in_gpot = '/a/in/gpot0,/a/in/gpot1'
    m1_int_sel_out_gpot = '/a/out/gpot0,/a/out/gpot1'
    m1_int_sel_in_spike = '/a/in/spike0,/a/in/spike1'
    m1_int_sel_out_spike = '/a/out/spike0,/a/out/spike1'
    m1_int_sel = ','.join([m1_int_sel_in_gpot, m1_int_sel_out_gpot,
                           m1_int_sel_in_spike, m1_int_sel_out_spike])
    m1_int_sel_in = ','.join((m1_int_sel_in_gpot, m1_int_sel_in_spike))
    m1_int_sel_out = ','.join((m1_int_sel_out_gpot, m1_int_sel_out_spike))
    m1_int_sel_gpot = ','.join((m1_int_sel_in_gpot, m1_int_sel_out_gpot))
    m1_int_sel_spike = ','.join((m1_int_sel_in_spike, m1_int_sel_out_spike))
    N1_gpot = SelectorMethods.count_ports(m1_int_sel_gpot)
    N1_spike = SelectorMethods.count_ports(m1_int_sel_spike)
コード例 #2
0
                          str(self.pm['spike'][self.in_spike_ports]))

            # Output random graded potential data:
            out_gpot_data = gpuarray.to_gpu(
                np.random.rand(len(self.out_gpot_ports)))
            self.pm['gpot'][self.out_gpot_ports] = out_gpot_data
            self.log_info('output gpot port data: ' + str(out_gpot_data))

            # Randomly select output ports to emit spikes:
            out_spike_data = gpuarray.to_gpu(
                np.random.randint(0, 2, len(self.out_spike_ports)))
            self.pm['spike'][self.out_spike_ports] = out_spike_data
            self.log_info('output spike port data: ' + str(out_spike_data))

    logger = mpi.setup_logger(screen=True,
                              file_name='neurokernel.log',
                              mpi_comm=MPI.COMM_WORLD,
                              multiline=True)

    man = Manager()

    m1_int_sel_in_gpot = '/a/in/gpot0,/a/in/gpot1'
    m1_int_sel_out_gpot = '/a/out/gpot0,/a/out/gpot1'
    m1_int_sel_in_spike = '/a/in/spike0,/a/in/spike1'
    m1_int_sel_out_spike = '/a/out/spike0,/a/out/spike1'
    m1_int_sel = ','.join([
        m1_int_sel_in_gpot, m1_int_sel_out_gpot, m1_int_sel_in_spike,
        m1_int_sel_out_spike
    ])
    m1_int_sel_in = ','.join((m1_int_sel_in_gpot, m1_int_sel_in_spike))
    m1_int_sel_out = ','.join((m1_int_sel_out_gpot, m1_int_sel_out_spike))
    m1_int_sel_gpot = ','.join((m1_int_sel_in_gpot, m1_int_sel_out_gpot))