/
tti_example.py
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/
tti_example.py
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import numpy as np
import pytest
from devito import info, norm
from examples.seismic import demo_model, setup_geometry, seismic_args
from examples.seismic.tti import AnisotropicWaveSolver
def tti_setup(shape=(50, 50, 50), spacing=(20.0, 20.0, 20.0), tn=250.0,
space_order=4, nbl=10, preset='layers-tti', **kwargs):
# Two layer model for true velocity
model = demo_model(preset, shape=shape, spacing=spacing,
space_order=space_order, nbl=nbl, **kwargs)
# Source and receiver geometries
geometry = setup_geometry(model, tn)
return AnisotropicWaveSolver(model, geometry, space_order=space_order)
def run(shape=(50, 50, 50), spacing=(20.0, 20.0, 20.0), tn=250.0,
autotune=False, time_order=2, space_order=4, nbl=10,
kernel='centered', full_run=False, **kwargs):
solver = tti_setup(shape=shape, spacing=spacing, tn=tn, space_order=space_order,
nbl=nbl, **kwargs)
info("Applying Forward")
rec, u, v, summary = solver.forward(autotune=autotune, kernel=kernel)
if not full_run:
return summary.gflopss, summary.oi, summary.timings, [rec, u, v]
info("Applying Adjoint")
solver.adjoint(rec, autotune=autotune)
return summary.gflopss, summary.oi, summary.timings, [rec, u, v]
@pytest.mark.parametrize('kernel', ['centered', 'staggered'])
@pytest.mark.parametrize('ndim', [2, 3])
def test_tti_stability(kernel, ndim):
shape = tuple([11]*ndim)
spacing = tuple([20]*ndim)
_, _, _, [rec, _, _] = run(shape=shape, spacing=spacing, kernel=kernel,
tn=16000.0, nbl=0)
assert np.isfinite(norm(rec))
if __name__ == "__main__":
description = ("Example script to execute a TTI forward operator.")
parser = seismic_args(description)
parser.add_argument('--noazimuth', dest='azi', default=False, action='store_true',
help="Whether or not to use an azimuth angle")
parser.add_argument("-k", dest="kernel", default='centered',
choices=['centered', 'staggered'],
help="Choice of finite-difference kernel")
args = parser.parse_args()
# Switch to TTI kernel if input is acoustic kernel
preset = 'layers-tti-noazimuth' if args.azi else 'layers-tti'
# Preset parameters
ndim = args.ndim
shape = args.shape[:args.ndim]
spacing = tuple(ndim * [10.0])
tn = args.tn if args.tn > 0 else (750. if ndim < 3 else 1250.)
run(shape=shape, spacing=spacing, nbl=args.nbl, tn=tn,
space_order=args.space_order, autotune=args.autotune, dtype=args.dtype,
opt=args.opt, kernel=args.kernel, preset=preset, full_run=args.full)