def test_xreplace_constrained_time_varying(tu, tv, tw, ti0, ti1, t0, t1, exprs,
expected):
exprs = EVAL(exprs, tu, tv, tw, ti0, ti1, t0, t1)
make = lambda i: Scalar(name='r%d' % i).indexify()
processed, found = xreplace_constrained(
exprs, make, iq_timevarying(TemporariesGraph(exprs)),
lambda i: estimate_cost(i) > 0)
assert len(found) == len(expected)
assert all(str(i.rhs) == j for i, j in zip(found, expected))
def test_xreplace_constrained_time_varying(tu, tv, tw, ti0, ti1, t0, t1,
exprs, expected):
exprs = EVAL(exprs, tu, tv, tw, ti0, ti1, t0, t1)
counter = generator()
make = lambda: Scalar(name='r%d' % counter()).indexify()
processed, found = xreplace_constrained(exprs, make,
iq_timevarying(FlowGraph(exprs)),
lambda i: estimate_cost(i) > 0)
assert len(found) == len(expected)
assert all(str(i.rhs) == j for i, j in zip(found, expected))
def _extract_time_varying(self, cluster, template, **kwargs):
"""
Extract time-varying subexpressions, and assign them to temporaries.
Time varying subexpressions arise for example when approximating
derivatives through finite differences.
"""
make = lambda i: Scalar(name=template(i)).indexify()
rule = iq_timevarying(cluster.trace)
costmodel = lambda i: estimate_cost(i) > 0
processed, _ = xreplace_constrained(cluster.exprs, make, rule, costmodel)
return cluster.rebuild(processed)
def _extract_time_varying(self, cluster, template, **kwargs):
"""
Extract time-varying subexpressions, and assign them to temporaries.
Time varying subexpressions arise for example when approximating
derivatives through finite differences.
"""
make = lambda: Scalar(name=template(), dtype=cluster.dtype).indexify()
rule = iq_timevarying(cluster.trace)
costmodel = lambda i: estimate_cost(i) > 0
processed, _ = xreplace_constrained(cluster.exprs, make, rule, costmodel)
return cluster.rebuild(processed)
