def apply(self, sdfg):
state = sdfg.nodes()[self.subgraph[StateAssignElimination._end_state]]
edge = sdfg.in_edges(state)[0]
# Since inter-state assignments that use an assigned value leads to
# undefined behavior (e.g., {m: n, n: m}), we can replace each
# assignment separately.
keys_to_remove = set()
assignments_to_consider = _assignments_to_consider(sdfg, edge)
for varname, assignment in assignments_to_consider.items():
state.replace(varname, assignment)
keys_to_remove.add(varname)
repl_dict = {}
for varname in keys_to_remove:
# Remove assignments from edge
del edge.data.assignments[varname]
for e in sdfg.edges():
if varname in e.data.free_symbols:
break
else:
# If removed assignment does not appear in any other edge,
# replace and remove symbol
if assignments_to_consider[varname] in sdfg.symbols:
repl_dict[varname] = assignments_to_consider[varname]
if varname in sdfg.symbols:
sdfg.remove_symbol(varname)
def _str_repl(s, d):
for k, v in d.items():
s.replace(str(k), str(v))
if repl_dict:
symbolic.safe_replace(repl_dict, lambda m: _str_repl(sdfg, m))
def apply(self, sdfg):
state = sdfg.nodes()[self.subgraph[EndStateElimination._end_state]]
# Handle orphan symbols (due to the deletion the incoming edge)
edge = sdfg.in_edges(state)[0]
sym_assign = edge.data.assignments.keys()
sdfg.remove_node(state)
# Remove orphan symbols
for sym in sym_assign:
if sym in sdfg.free_symbols:
sdfg.remove_symbol(sym)
def apply(self, _, sdfg):
state = self.end_state
# Handle orphan symbols (due to the deletion the incoming edge)
edge = sdfg.in_edges(state)[0]
sym_assign = edge.data.assignments.keys()
sdfg.remove_node(state)
# Remove orphan symbols
for sym in sym_assign:
if sym in sdfg.free_symbols:
sdfg.remove_symbol(sym)
def apply(self, _, sdfg: SDFG):
state = self.end_state
edge = sdfg.in_edges(state)[0]
# Since inter-state assignments that use an assigned value leads to
# undefined behavior (e.g., {m: n, n: m}), we can replace each
# assignment separately.
assignments_to_consider = _assignments_to_consider(sdfg, edge, True)
def _str_repl(s, d, **kwargs):
for k, v in d.items():
s.replace(str(k), str(v), **kwargs)
# Replace in state, and all successors
symbolic.safe_replace(assignments_to_consider,
lambda m: _str_repl(state, m))
visited = {edge}
for isedge in sdfg.bfs_edges(state):
if isedge not in visited:
symbolic.safe_replace(
assignments_to_consider,
lambda m: _str_repl(isedge.data, m, replace_keys=False))
visited.add(isedge)
if isedge.dst not in visited:
symbolic.safe_replace(assignments_to_consider,
lambda m: _str_repl(isedge.dst, m))
visited.add(isedge.dst)
repl_dict = {}
for varname in assignments_to_consider.keys():
# Remove assignments from edge
del edge.data.assignments[varname]
for e in sdfg.edges():
if varname in e.data.free_symbols:
break
else:
# If removed assignment does not appear in any other edge,
# replace and remove symbol
if varname in sdfg.symbols:
sdfg.remove_symbol(varname)
# if assignments_to_consider[varname] in sdfg.symbols:
if varname in sdfg.free_symbols:
repl_dict[varname] = assignments_to_consider[varname]
if repl_dict:
symbolic.safe_replace(repl_dict, lambda m: _str_repl(sdfg, m))