def test_otf_par(software, per_atom_par, n_cpus):
"""
Test that an otf run can survive going for more steps
:return:
"""
example = 1
outdir = f'test_outputs_{software}'
if os.path.isdir(outdir):
shutil.rmtree(outdir)
if (not os.environ.get(cmd[software], False)):
pytest.skip(f'{cmd[software]} not found in environment:'
f' Please install the code '
f' and set the {cmd[software]} env. '
'variable to point to the executable.')
if (software is 'cp2k'):
if (not "popt" in os.environ.get(cmd[software])):
pytest.skip(f'cp2k is serial version'
f' skipping the parallel test')
dft_input = f'{software}.in'
dft_output = f'{software}.out'
shutil.copy(f'./test_files/{software}_input_{example}.in', dft_input)
dt = 0.0001
number_of_steps = 5
dft_loc = os.environ.get(cmd[software])
std_tolerance_factor = -0.1
casename = name_list[example]
gp = get_gp(par=True, n_cpus=n_cpus, per_atom_par=per_atom_par)
otf = OTF(dft_input,
dt,
number_of_steps,
gp,
dft_loc,
std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
max_atoms_added=1,
par=True,
n_cpus=n_cpus,
freeze_hyps=1,
skip=1,
mpi="mpi",
force_source=software,
dft_output=dft_output,
output_name=f'{casename}_otf_{software}',
store_dft_output=([dft_output, dft_input], '.'))
otf.run()
if not os.path.isdir(outdir):
os.mkdir(outdir)
for f in os.listdir("./"):
if f'{casename}_otf_{software}' in f:
shutil.move(f, outdir)
cleanup(software, f'{casename}_otf_{software}')
def test_otf(software, example):
"""
Test that an otf run can survive going for more steps
:return:
"""
print('running test_otf.py')
print('current working directory:')
print(os.getcwd())
outdir = f'test_outputs_{software}'
if os.path.isdir(outdir):
shutil.rmtree(outdir)
if (not os.environ.get(cmd[software], False)):
pytest.skip(f'{cmd[software]} not found in environment:'
f' Please install the code '
f' and set the {cmd[software]} env. '
'variable to point to the executable.')
dft_input = f'{software}.in'
dft_output = f'{software}.out'
shutil.copy(f'./test_files/{software}_input_{example}.in', dft_input)
dt = 0.0001
number_of_steps = 5
dft_loc = os.environ.get(cmd[software])
std_tolerance_factor = -0.1
casename = name_list[example]
gp = get_gp()
otf = OTF(dt=dt,
number_of_steps=number_of_steps,
gp=gp,
write_model=3,
std_tolerance_factor=std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
max_atoms_added=1,
freeze_hyps=1,
skip=1,
force_source=software,
dft_input=dft_input,
dft_loc=dft_loc,
dft_output=dft_output,
output_name=f'{casename}_otf_{software}',
store_dft_output=([dft_output, dft_input], '.'))
otf.run()
if not os.path.isdir(outdir):
os.mkdir(outdir)
for f in os.listdir("./"):
if f'{casename}_otf_{software}' in f:
shutil.move(f, outdir)
cleanup(software, f'{casename}_otf_{software}')
def test_otf_par(software, per_atom_par, n_cpus):
"""
Test that an otf run can survive going for more steps
:return:
"""
example = 1
outdir = f"test_outputs_{software}"
if os.path.isdir(outdir):
shutil.rmtree(outdir)
print("running test_otf.py")
print("current working directory:")
print(os.getcwd())
if not os.environ.get(cmd[software], False):
pytest.skip(f"{cmd[software]} not found in environment:"
" Please install the code "
f" and set the {cmd[software]} env. "
"variable to point to the executable.")
if software == "cp2k":
if not "popt" in os.environ.get(cmd[software]):
pytest.skip(f"cp2k is serial version skipping the parallel test")
dft_input = f"{software}.in"
dft_output = f"{software}.out"
shutil.copy(f"./test_files/{software}_input_{example}.in", dft_input)
dft_loc = os.environ.get(cmd[software])
std_tolerance_factor = -0.1
casename = name_list[example]
gp = get_gp(par=True, n_cpus=n_cpus, per_atom_par=per_atom_par)
otf = OTF(
dt=dt,
number_of_steps=number_of_steps,
gp=gp,
write_model=3,
std_tolerance_factor=std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
max_atoms_added=1,
n_cpus=n_cpus,
freeze_hyps=1,
skip=1,
mpi="mpi",
force_source=software,
dft_input=dft_input,
dft_loc=dft_loc,
dft_output=dft_output,
output_name=f"{casename}_otf_{software}",
store_dft_output=([dft_output, dft_input], "."),
)
otf.run()
pytest.my_otf = otf
def test_otf_al():
"""
Test that an otf run can survive going for more steps
:return:
"""
os.system('cp ./test_files/qe_input_2.in ./pwscf.in')
# make gp model
kernel = en.three_body
kernel_grad = en.three_body_grad
hyps = np.array([0.1, 1, 0.01])
hyp_labels = ['Signal Std', 'Length Scale', 'Noise Std']
cutoffs = np.array([3.9, 3.9])
energy_force_kernel = en.three_body_force_en
gp = \
GaussianProcess(kernel=kernel,
kernel_grad=kernel_grad,
hyps=hyps,
cutoffs=cutoffs,
hyp_labels=hyp_labels,
energy_force_kernel=energy_force_kernel,
maxiter=50)
# set up DFT calculator
qe_input = './pwscf.in' # quantum espresso input file
dft_loc = os.environ.get('PWSCF_COMMAND')
# set up OTF parameters
dt = 0.001 # timestep (ps)
number_of_steps = 100 # number of steps
std_tolerance_factor = 1
max_atoms_added = 2
freeze_hyps = 3
otf = OTF(qe_input,
dt,
number_of_steps,
gp,
dft_loc,
std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
output_name='al_otf_qe',
freeze_hyps=freeze_hyps,
skip=5,
max_atoms_added=max_atoms_added)
# run OTF MD
otf.run()
os.system('mkdir test_outputs')
os.system('mv al_otf_qe* test_outputs')
cleanup_espresso_run()
def test_otf_al():
"""
Test that an otf run can survive going for more steps
:return:
"""
call('cp ./test_files/cp2k_input_2.in ./cp2k.in'.split())
cp2k_input = './cp2k.in'
dt = 0.001
number_of_steps = 5
cutoffs = np.array([3.9, 3.9])
dft_loc = os.environ.get('CP2K_COMMAND')
std_tolerance_factor = 1
max_atoms_added = 2
freeze_hyps = 3
# make gp model
kernel = en.three_body
kernel_grad = en.three_body_grad
hyps = np.array([0.1, 1, 0.01])
hyp_labels = ['Signal Std', 'Length Scale', 'Noise Std']
energy_force_kernel = en.three_body_force_en
gp = \
GaussianProcess(kernel=kernel,
kernel_grad=kernel_grad,
hyps=hyps,
cutoffs=cutoffs,
hyp_labels=hyp_labels,
energy_force_kernel=energy_force_kernel,
maxiter=50)
otf = OTF(cp2k_input,
dt,
number_of_steps,
gp,
dft_loc,
std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
output_name='al_otf_cp2k',
freeze_hyps=freeze_hyps,
skip=5,
force_source="cp2k",
max_atoms_added=max_atoms_added)
otf.run()
call('mkdir test_outputs'.split())
call('mv al_otf_cp2k*.* test_outputs'.split())
cleanup("al_otf_cp2k")
def test_otf_Al_npool():
"""
Test that an otf run can survive going for more steps
:return:
"""
os.system('cp ./test_files/qe_input_2.in ./pwscf.in')
qe_input = './pwscf.in'
dt = 0.0001
number_of_steps = 4
cutoffs = np.array([5])
dft_loc = os.environ.get('PWSCF_COMMAND')
std_tolerance_factor = -0.1
# make gp model
kernel = en.two_body
kernel_grad = en.two_body_grad
hyps = np.array([1, 1, 1])
hyp_labels = ['Signal Std', 'Length Scale', 'Noise Std']
energy_force_kernel = en.two_body_force_en
gp = \
GaussianProcess(kernel=kernel,
kernel_grad=kernel_grad,
hyps=hyps,
cutoffs=cutoffs,
hyp_labels=hyp_labels,
par=True,
energy_force_kernel=energy_force_kernel,
maxiter=50)
otf = OTF(qe_input,
dt,
number_of_steps,
gp,
dft_loc,
std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
max_atoms_added=1,
no_cpus=2,
par=True,
npool=2,
mpi="mpi",
output_name='h2_otf_qe_par')
otf.run()
os.system('mkdir test_outputs')
os.system('mv h2_otf_qe_par* test_outputs')
cleanup_espresso_run()
def test_otf_h2_par():
"""
Test that an otf run can survive going for more steps
:return:
"""
call('cp ./test_files/cp2k_input_1.in ./cp2k.in'.split())
cp2k_input = './cp2k.in'
dt = 0.0001
number_of_steps = 5
cutoffs = np.array([5])
dft_loc = os.environ.get('CP2K_COMMAND')
std_tolerance_factor = -0.1
# make gp model
kernel = en.two_body
kernel_grad = en.two_body_grad
hyps = np.array([1, 1, 1])
hyp_labels = ['Signal Std', 'Length Scale', 'Noise Std']
energy_force_kernel = en.two_body_force_en
gp = \
GaussianProcess(kernel=kernel,
kernel_grad=kernel_grad,
hyps=hyps,
cutoffs=cutoffs,
hyp_labels=hyp_labels,
energy_force_kernel=energy_force_kernel,
par=True,
maxiter=50)
otf = OTF(cp2k_input,
dt,
number_of_steps,
gp,
dft_loc,
std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
max_atoms_added=1,
dft_softwarename="cp2k",
no_cpus=2,
par=True,
mpi="mpi",
output_name='h2_otf_cp2k_par')
otf.run()
call('mkdir test_outputs'.split())
call('mv h2_otf_cp2k_par* test_outputs'.split())
cleanup()
def test_otf_h2():
"""
:return:
"""
os.system('cp ./test_files/test_POSCAR_2 POSCAR')
vasp_input = './POSCAR'
dt = 0.0001
number_of_steps = 5
cutoffs = np.array([5])
dft_loc = 'cp ./test_files/test_vasprun_h2.xml vasprun.xml'
std_tolerance_factor = -0.1
# make gp model
kernel = en.two_body
kernel_grad = en.two_body_grad
hyps = np.array([1, 1, 1])
hyp_labels = ['Signal Std', 'Length Scale', 'Noise Std']
energy_force_kernel = en.two_body_force_en
gp = GaussianProcess(kernel=kernel,
kernel_grad=kernel_grad,
hyps=hyps,
cutoffs=cutoffs,
hyp_labels=hyp_labels,
energy_force_kernel=energy_force_kernel,
maxiter=50)
otf = OTF(vasp_input,
dt,
number_of_steps,
gp,
dft_loc,
std_tolerance_factor,
init_atoms=[0],
calculate_energy=True,
max_atoms_added=1,
no_cpus=1,
dft_softwarename='vasp',
output_name='h2_otf_vasp')
otf.run()
os.system('mv h2_otf_vasp* test_outputs')
def test_otf_h2():
"""
:return:
"""
os.system("cp ./test_files/test_POSCAR_2 POSCAR")
vasp_input = "./POSCAR"
dt = 0.0001
number_of_steps = 5
cutoffs = {"twobody": 5}
dft_loc = "cp ./test_files/test_vasprun_h2.xml vasprun.xml"
std_tolerance_factor = -0.1
# make gp model
hyps = np.array([1, 1, 1])
hyp_labels = ["Signal Std", "Length Scale", "Noise Std"]
gp = GaussianProcess(
kernel_name="2", hyps=hyps, cutoffs=cutoffs, hyp_labels=hyp_labels, maxiter=50
)
otf = OTF(
dt=dt,
number_of_steps=number_of_steps,
gp=gp,
calculate_energy=True,
std_tolerance_factor=std_tolerance_factor,
init_atoms=[0],
output_name="h2_otf_vasp",
max_atoms_added=1,
force_source="vasp",
dft_input=vasp_input,
dft_loc=dft_loc,
dft_output="vasprun.xml",
n_cpus=1,
)
otf.run()
os.system("mv h2_otf_vasp* test_outputs")
def test_otf_h2():
"""
:return:
"""
os.system('cp ./test_files/test_POSCAR_2 POSCAR')
vasp_input = './POSCAR'
dt = 0.0001
number_of_steps = 5
cutoffs = {'twobody':5}
dft_loc = 'cp ./test_files/test_vasprun_h2.xml vasprun.xml'
std_tolerance_factor = -0.1
# make gp model
hyps = np.array([1, 1, 1])
hyp_labels = ['Signal Std', 'Length Scale', 'Noise Std']
gp = GaussianProcess(kernel_name='2',
hyps=hyps,
cutoffs=cutoffs,
hyp_labels=hyp_labels,
maxiter=50)
otf = OTF(dt=dt, number_of_steps=number_of_steps,
gp=gp, calculate_energy=True,
std_tolerance_factor=std_tolerance_factor,
init_atoms=[0],
output_name='h2_otf_vasp',
max_atoms_added=1,
force_source='vasp',
dft_input=vasp_input, dft_loc=dft_loc,
dft_output="vasprun.xml",
n_cpus=1)
otf.run()
os.system('mv h2_otf_vasp* test_outputs')