Example #1
0
    def runTest(self):
        ufunc, nx, ny, nz, coeff_use, precision_float, use_cpu_core, split, tmax = self.args
        fields = Fields(nx, ny, nz, coeff_use, precision_float, use_cpu_core)
        core = Core(fields)

        strf_list = ['ex', 'ey', 'ez', 'hx', 'hy', 'hz']
        slice_xyz = [slice(None, None), slice(None, None), fields.slice_z]

        # allocations
        ns = fields.ns
        dtype = fields.dtype

        ehs = common_update.generate_random_ehs(nx, ny, nz, dtype, ufunc)
        fields.set_ehs(*ehs)

        ces, chs = common_update.generate_random_cs(coeff_use, nx, ny, nz, dtype)
        if 'e' in coeff_use:
            fields.set_ces(*ces)
        if 'h' in coeff_use:
            fields.set_chs(*chs)

        # update
        if ufunc == 'e':
            for tstep in xrange(0, tmax):
                fields.update_e()
                common_update.update_e(ehs, ces)
            fields.enqueue_barrier()

            for strf, eh in zip(strf_list, ehs)[:3]:
                norm = np.linalg.norm(eh - fields.get(strf)[slice_xyz])
                max_diff = np.abs(eh - fields.get(strf)[slice_xyz]).max()
                self.assertEqual(norm, 0, '%s, %s, %g, %g' % (self.args, strf, norm, max_diff) )

                if fields.pad != 0:
                    if strf == 'ez':
                        norm2 = np.linalg.norm(fields.get(strf)[:,:,-fields.pad:])
                    else:
                        norm2 = np.linalg.norm(fields.get(strf)[:,:,-fields.pad-1:])
                    self.assertEqual(norm2, 0, '%s, %s, %g, padding' % (self.args, strf, norm2) )

        elif ufunc == 'h':
            for tstep in xrange(0, tmax):
                fields.update_h()
                common_update.update_h(ehs, chs)
            fields.enqueue_barrier()

            for strf, eh in zip(strf_list, ehs)[3:]:
                norm = np.linalg.norm(eh - fields.get(strf)[slice_xyz])
                max_diff = np.abs(eh - fields.get(strf)[slice_xyz]).max()
                self.assertEqual(norm, 0, '%s, %s, %g, %g' % \
                        (self.args, strf, norm, max_diff) )

                if fields.pad != 0:
                    if strf == 'hz':
                        norm2 = np.linalg.norm(fields.get(strf)[:,:,-fields.pad:])
                    else:
                        norm2 = np.linalg.norm(fields.get(strf)[:,:,-fields.pad:])
                    self.assertEqual(norm2, 0, '%s, %s, %g, padding' % (self.args, strf, norm2) )
    def test(self):
        nx, ny, nz = 40, 50, 60
        tmax = 10

        # buffer instance
        if rank == 0:
            fields = Fields(10, ny, nz, mpi_type='x+')
            exmpi = ExchangeMpi(fields, 1, tmax)

        elif rank == 1:
            fields = Fields(3, ny, nz, mpi_type='x-')
            exmpi = ExchangeMpi(fields, 0, tmax)

        # generate random source
        nx, ny, nz = fields.ns
        ehs = common_update.generate_random_ehs(nx, ny, nz, fields.dtype)
        fields.set_ehs(*ehs)

        # verify
        for tstep in xrange(1, tmax + 1):
            fields.update_e()
            fields.update_h()

        getf_dict = {}
        if rank == 0:
            getf_dict['e'] = GetFields(fields, ['ey', 'ez'], \
                    (nx-1, 0, 0), (nx-1, ny-2, nz-2))

            getf_dict['h'] = GetFields(fields, ['hy', 'hz'], \
                    (1, 1, 1), (1, ny-1, nz-1))

            for eh in ['e', 'h']:
                getf = getf_dict[eh]
                getf.get_event().wait()
                g0 = getf.get_fields()
                g1 = np.zeros_like(g0)
                comm.Recv(g1, 1, tag=10)
                norm = np.linalg.norm(g0 - g1)
                self.assertEqual(norm, 0, '%g, %s, %s' % (norm, 'x', 'e'))

        elif rank == 1:
            getf_dict['e'] = GetFields(fields, ['ey', 'ez'], \
                    (nx-2, 0, 0), (nx-2, ny-2, nz-2))

            getf_dict['h'] = GetFields(fields, ['hy', 'hz'], \
                    (0, 1, 1), (0, ny-1, nz-1))

            for eh in ['e', 'h']:
                getf = getf_dict[eh]
                getf.get_event().wait()
                comm.Send(getf.get_fields(), 0, tag=10)
    def test(self):
        nx, ny, nz = 40, 50, 60
        tmax = 10

        # buffer instance
        if rank == 0:
            fields = Fields(10, ny, nz, mpi_type="x+")
            exmpi = ExchangeMpi(fields, 1, tmax)

        elif rank == 1:
            fields = Fields(3, ny, nz, mpi_type="x-")
            exmpi = ExchangeMpi(fields, 0, tmax)

        # generate random source
        nx, ny, nz = fields.ns
        ehs = common_update.generate_random_ehs(nx, ny, nz, fields.dtype)
        fields.set_ehs(*ehs)

        # verify
        for tstep in xrange(1, tmax + 1):
            fields.update_e()
            fields.update_h()

        getf_dict = {}
        if rank == 0:
            getf_dict["e"] = GetFields(fields, ["ey", "ez"], (nx - 1, 0, 0), (nx - 1, ny - 2, nz - 2))

            getf_dict["h"] = GetFields(fields, ["hy", "hz"], (1, 1, 1), (1, ny - 1, nz - 1))

            for eh in ["e", "h"]:
                getf = getf_dict[eh]
                getf.get_event().wait()
                g0 = getf.get_fields()
                g1 = np.zeros_like(g0)
                comm.Recv(g1, 1, tag=10)
                norm = np.linalg.norm(g0 - g1)
                self.assertEqual(norm, 0, "%g, %s, %s" % (norm, "x", "e"))

        elif rank == 1:
            getf_dict["e"] = GetFields(fields, ["ey", "ez"], (nx - 2, 0, 0), (nx - 2, ny - 2, nz - 2))

            getf_dict["h"] = GetFields(fields, ["hy", "hz"], (0, 1, 1), (0, ny - 1, nz - 1))

            for eh in ["e", "h"]:
                getf = getf_dict[eh]
                getf.get_event().wait()
                comm.Send(getf.get_fields(), 0, tag=10)
    def runTest(self):
        nx, ny, nz, str_f, pt0, pt1 = self.args

        slice_xyz = common.slice_index_two_points(pt0, pt1)
        str_fs = common.convert_to_tuple(str_f)

        # instance
        fields = Fields(nx, ny, nz, '', 'single')
        getf = GetFields(fields, str_f, pt0, pt1) 
        
        # host allocations
        ehs = common_update.generate_random_ehs(nx, ny, nz, fields.dtype)
        eh_dict = dict( zip(['ex', 'ey', 'ez', 'hx', 'hy', 'hz'], ehs) )
        fields.set_ehs(*ehs)

        # verify
        getf.get_event().wait()

        for str_f in str_fs:
            original = eh_dict[str_f][slice_xyz]
            copy = getf.get_fields(str_f)
            norm = np.linalg.norm(original - copy)
            self.assertEqual(norm, 0, '%s, %g' % (self.args, norm))
    def runTest(self):
        nx, ny, nz, str_f, pt0, pt1 = self.args

        slice_xyz = common.slice_index_two_points(pt0, pt1)
        str_fs = common.convert_to_tuple(str_f)

        # instance
        fields = Fields(nx, ny, nz, '', 'single')
        getf = GetFields(fields, str_f, pt0, pt1)

        # host allocations
        ehs = common_update.generate_random_ehs(nx, ny, nz, fields.dtype)
        eh_dict = dict(zip(['ex', 'ey', 'ez', 'hx', 'hy', 'hz'], ehs))
        fields.set_ehs(*ehs)

        # verify
        getf.get_event().wait()

        for str_f in str_fs:
            original = eh_dict[str_f][slice_xyz]
            copy = getf.get_fields(str_f)
            norm = np.linalg.norm(original - copy)
            self.assertEqual(norm, 0, '%s, %g' % (self.args, norm))
Example #6
0
    def runTest(self):
        ufunc, nx, ny, nz, coeff_use, precision_float, use_cpu_core, split, tmax = self.args
        fields = Fields(nx, ny, nz, coeff_use, precision_float, use_cpu_core)
        core = Core(fields)

        strf_list = ['ex', 'ey', 'ez', 'hx', 'hy', 'hz']
        slice_xyz = [slice(None, None), slice(None, None), fields.slice_z]

        # allocations
        ns = fields.ns
        dtype = fields.dtype

        ehs = common_update.generate_random_ehs(nx, ny, nz, dtype, ufunc)
        fields.set_ehs(*ehs)

        ces, chs = common_update.generate_random_cs(coeff_use, nx, ny, nz,
                                                    dtype)
        if 'e' in coeff_use:
            fields.set_ces(*ces)
        if 'h' in coeff_use:
            fields.set_chs(*chs)

        # update
        if ufunc == 'e':
            for tstep in xrange(0, tmax):
                fields.update_e()
                common_update.update_e(ehs, ces)
            fields.enqueue_barrier()

            for strf, eh in zip(strf_list, ehs)[:3]:
                norm = np.linalg.norm(eh - fields.get(strf)[slice_xyz])
                max_diff = np.abs(eh - fields.get(strf)[slice_xyz]).max()
                self.assertEqual(
                    norm, 0,
                    '%s, %s, %g, %g' % (self.args, strf, norm, max_diff))

                if fields.pad != 0:
                    if strf == 'ez':
                        norm2 = np.linalg.norm(
                            fields.get(strf)[:, :, -fields.pad:])
                    else:
                        norm2 = np.linalg.norm(
                            fields.get(strf)[:, :, -fields.pad - 1:])
                    self.assertEqual(
                        norm2, 0,
                        '%s, %s, %g, padding' % (self.args, strf, norm2))

        elif ufunc == 'h':
            for tstep in xrange(0, tmax):
                fields.update_h()
                common_update.update_h(ehs, chs)
            fields.enqueue_barrier()

            for strf, eh in zip(strf_list, ehs)[3:]:
                norm = np.linalg.norm(eh - fields.get(strf)[slice_xyz])
                max_diff = np.abs(eh - fields.get(strf)[slice_xyz]).max()
                self.assertEqual(norm, 0, '%s, %s, %g, %g' % \
                        (self.args, strf, norm, max_diff) )

                if fields.pad != 0:
                    if strf == 'hz':
                        norm2 = np.linalg.norm(
                            fields.get(strf)[:, :, -fields.pad:])
                    else:
                        norm2 = np.linalg.norm(
                            fields.get(strf)[:, :, -fields.pad:])
                    self.assertEqual(
                        norm2, 0,
                        '%s, %s, %g, padding' % (self.args, strf, norm2))
Example #7
0
    def runTest(self):
        axis, nx, ny, nz, mpi_type = self.args

        fields = Fields(nx, ny, nz, mpi_type=mpi_type)
        core = Core(fields)
        pbc = Pbc(fields, axis)

        # allocations
        ehs = common_update.generate_random_ehs(nx, ny, nz, fields.dtype)
        fields.set_ehs(*ehs)

        # update
        fields.update_e()
        fields.update_h()
        fields.enqueue_barrier()

        # verify
        getf0, getf1 = {}, {}
        strfs_e = {'x':['ey', 'ez'], 'y':['ex', 'ez'], 'z':['ex', 'ey']}[axis]
        strfs_h = {'x':['hy', 'hz'], 'y':['hx', 'hz'], 'z':['hx', 'hy']}[axis]

        pt0 = (0, 0, 0)
        pt1 = { 'x': (0, ny-2, nz-2), \
                'y': (nx-2, 0, nz-2), \
                'z': (nx-2, ny-2, 0) }[axis]
        getf0['e'] = GetFields(fields, strfs_e, pt0, pt1)

        pt0 = { 'x': (nx-1, 0, 0), \
                'y': (0, ny-1, 0), \
                'z': (0, 0, nz-1) }[axis]
        pt1 = { 'x': (nx-1, ny-2, nz-2), \
                'y': (nx-2, ny-1, nz-2), \
                'z': (nx-2, ny-2, nz-1) }[axis]
        getf1['e'] = GetFields(fields, strfs_e, pt0, pt1)

        pt0 = { 'x': (0, 1, 1), \
                'y': (1, 0, 1), \
                'z': (1, 1, 0) }[axis]
        pt1 = { 'x': (0, ny-1, nz-1), \
                'y': (nx-1, 0, nz-1), \
                'z': (nx-1, ny-1, 0) }[axis]
        getf0['h'] = GetFields(fields, strfs_h, pt0, pt1)

        pt0 = { 'x': (nx-1, 1, 1), \
                'y': (1, ny-1, 1), \
                'z': (1, 1, nz-1) }[axis]
        pt1 = (nx-1, ny-1, nz-1)
        getf1['h'] = GetFields(fields, strfs_h, pt0, pt1)

        for getf in getf0.values() + getf1.values():
            getf.get_event().wait()

        for eh in ['e', 'h']:
            g0 = getf0[eh].get_fields()
            g1 = getf1[eh].get_fields()
            norm = np.linalg.norm(g0 - g1)
            '''
            print eh
            print g0
            print g1
            '''
            self.assertEqual(norm, 0, '%g, %s, %s' % (norm, self.args, eh))
Example #8
0
    def runTest(self):
        axis, nx, ny, nz, mpi_type = self.args

        fields = Fields(nx, ny, nz, mpi_type=mpi_type)
        core = Core(fields)
        pbc = Pbc(fields, axis)

        # allocations
        ehs = common_update.generate_random_ehs(nx, ny, nz, fields.dtype)
        fields.set_ehs(*ehs)

        # update
        fields.update_e()
        fields.update_h()
        fields.enqueue_barrier()

        # verify
        getf0, getf1 = {}, {}
        strfs_e = {
            'x': ['ey', 'ez'],
            'y': ['ex', 'ez'],
            'z': ['ex', 'ey']
        }[axis]
        strfs_h = {
            'x': ['hy', 'hz'],
            'y': ['hx', 'hz'],
            'z': ['hx', 'hy']
        }[axis]

        pt0 = (0, 0, 0)
        pt1 = { 'x': (0, ny-2, nz-2), \
                'y': (nx-2, 0, nz-2), \
                'z': (nx-2, ny-2, 0) }[axis]
        getf0['e'] = GetFields(fields, strfs_e, pt0, pt1)

        pt0 = { 'x': (nx-1, 0, 0), \
                'y': (0, ny-1, 0), \
                'z': (0, 0, nz-1) }[axis]
        pt1 = { 'x': (nx-1, ny-2, nz-2), \
                'y': (nx-2, ny-1, nz-2), \
                'z': (nx-2, ny-2, nz-1) }[axis]
        getf1['e'] = GetFields(fields, strfs_e, pt0, pt1)

        pt0 = { 'x': (0, 1, 1), \
                'y': (1, 0, 1), \
                'z': (1, 1, 0) }[axis]
        pt1 = { 'x': (0, ny-1, nz-1), \
                'y': (nx-1, 0, nz-1), \
                'z': (nx-1, ny-1, 0) }[axis]
        getf0['h'] = GetFields(fields, strfs_h, pt0, pt1)

        pt0 = { 'x': (nx-1, 1, 1), \
                'y': (1, ny-1, 1), \
                'z': (1, 1, nz-1) }[axis]
        pt1 = (nx - 1, ny - 1, nz - 1)
        getf1['h'] = GetFields(fields, strfs_h, pt0, pt1)

        for getf in getf0.values() + getf1.values():
            getf.get_event().wait()

        for eh in ['e', 'h']:
            g0 = getf0[eh].get_fields()
            g1 = getf1[eh].get_fields()
            norm = np.linalg.norm(g0 - g1)
            '''
            print eh
            print g0
            print g1
            '''
            self.assertEqual(norm, 0, '%g, %s, %s' % (norm, self.args, eh))