__copyright__ = "Copyright (C) 2015 Andreas Kloeckner" __license__ = """ Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import logging import numpy as np import numpy.linalg as la import pyopencl as cl import pyopencl.clrandom from pyopencl.tools import ( # noqa: F401 pytest_generate_tests_for_pyopencl as pytest_generate_tests, ) import loopy as lp from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2 # noqa: F401 logger = logging.getLogger(__name__) def test_diff(ctx_factory): ctx = ctx_factory() queue = cl.CommandQueue(ctx) rng = np.random.default_rng(seed=42) knl = lp.make_kernel( """{ [i,j]: 0<=i,j a = 1/(1+sinh(x[i] + y[j])**2) z[i] = sum(j, exp(a * x[j])) """, name="diff") knl = lp.fix_parameters(knl, n=50) from loopy.transform.diff import diff_kernel # FIXME Is this the correct interface. Does it make sense to take the entire # translation unit? dknl, _diff_map = diff_kernel(knl["diff"], "z", "x") dknl = knl.with_kernel(dknl) dknl = lp.remove_unused_arguments(dknl) dknl = lp.add_inames_to_insn(dknl, "diff_i0", "writes:a_dx or writes:a") print(dknl) n = 50 x = rng.normal(size=n) y = rng.normal(size=n) dx = rng.normal(size=n) fac = 1e-1 h1 = 1e-4 h2 = h1 * fac _evt, (z0,) = knl(queue, x=x, y=y) _evt, (z1,) = knl(queue, x=(x + h1*dx), y=y) _evt, (z2,) = knl(queue, x=(x + h2*dx), y=y) dknl = lp.set_options(dknl, write_code=True) _evt, (df,) = dknl(queue, x=x, y=y) diff1 = (z1-z0) diff2 = (z2-z0) diff1_predicted = df.dot(h1*dx) diff2_predicted = df.dot(h2*dx) err1 = la.norm(diff1 - diff1_predicted) / la.norm(diff1) err2 = la.norm(diff2 - diff2_predicted) / la.norm(diff2) print(err1, err2) assert (err2 < err1 * fac * 1.1).all() if __name__ == "__main__": import sys if len(sys.argv) > 1: exec(sys.argv[1]) else: from pytest import main main([__file__]) # vim: foldmethod=marker