140 lines
3.5 KiB
Python
140 lines
3.5 KiB
Python
from itertools import repeat
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from migen.fhdl.structure import *
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from migen.fhdl.structure import _Operator, _Slice, _Assign, _ArrayProxy
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from migen.fhdl.tools import list_targets
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# y <= y + a + b
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#
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# unroll_sync(sync, {b: [b1, b2], c: [c1, c2], y: [y1, y2]})
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#
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# ==>
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#
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# v_y1 = y2 + a1 + b1
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# v_y2 = v_y1 + a2 + b2
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# y1 <= v_y1
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# y2 <= v_y2
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(_UNDETERMINED, _IN, _OUT) = range(3)
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# TODO: arrays
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def _replace_if_in(d, s):
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try:
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return d[s]
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except KeyError:
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return s
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def _replace(node, rin, rout, mode=_UNDETERMINED):
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if isinstance(node, Constant):
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return node
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elif isinstance(node, Signal):
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if mode == _IN:
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return _replace_if_in(rin, node)
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elif mode == _OUT:
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return _replace_if_in(rout, node)
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else:
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raise ValueError
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elif isinstance(node, _Operator):
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rop = [_replace(op, rin, rout, mode) for op in node.operands]
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return _Operator(node.op, rop)
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elif isinstance(node, _Slice):
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return _Slice(_replace(node.value, rin, rout, mode), node.start, node.stop)
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elif isinstance(node, Cat):
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rcomp = [_replace(comp, rin, rout, mode) for comp in node.l]
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return Cat(*rcomp)
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elif isinstance(node, Replicate):
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return Replicate(_replace(node.v, rin, rout, mode), node.n)
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elif isinstance(node, _Assign):
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return _Assign(_replace(node.l, rin, rout, _OUT), _replace(node.r, rin, rout, _IN))
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elif isinstance(node, list):
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return [_replace(s, rin, rout) for s in node]
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elif isinstance(node, If):
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r = If(_replace(node.cond, rin, rout, _IN))
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r.t = _replace(node.t, rin, rout)
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r.f = _replace(node.f, rin, rout)
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return r
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elif isinstance(node, Case):
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r = Case(_replace(case.test, rin, rout, _IN))
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r.cases = [(c[0], _replace(c[1], rin, rout)) for c in node.cases]
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r.default = _replace(node.default, rin, rout)
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return r
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else:
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raise TypeError
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def _list_step_dicts(d):
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assert(d)
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iterdict = dict((k, iter(v)) for k, v in d.items())
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r = []
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try:
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while True:
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r.append(dict([(k, next(i)) for k, i in iterdict.items()]))
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except StopIteration:
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pass
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return r
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def _classify_repl(statements, replacements):
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targets = list_targets(statements)
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inputs = {}
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outputs = {}
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for k, v in replacements.items():
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if k in targets:
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outputs[k] = v
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else:
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inputs[k] = v
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return inputs, outputs
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def _variable_for(s, n):
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sn = s.backtrace[-1][0]
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if isinstance(sn, str):
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name = "v" + str(n) + "_" + sn
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else:
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name = "v"
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return Signal(s.bv, name=name, variable=True)
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def unroll_sync(statements, replacements):
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if isinstance(statements, list):
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sl = statements
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else:
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sl = statements(0)
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inputs, outputs = _classify_repl(sl, replacements)
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assert(inputs or outputs)
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if inputs:
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sd_in = _list_step_dicts(inputs)
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else:
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sd_in = repeat({})
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if outputs:
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sd_out = _list_step_dicts(outputs)
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io_var_dict = sd_out[-1].copy()
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else:
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sd_out = repeat({})
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io_var_dict = {}
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r = []
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for n, (di, do) in enumerate(zip(sd_in, sd_out)):
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do_var = dict((k, _variable_for(v, n)) for k, v in do.items())
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# initialize variables
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for k, v in io_var_dict.items():
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if k.variable:
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r.append(do_var[k].eq(io_var_dict[k]))
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io_var_dict[k] = do_var[k]
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# replace signals with intermediate variables and copy statements
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io_var_dict.update(di)
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if n: # done for n = 0 at the beginning of function
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if isinstance(statements, list):
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sl = statements
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else:
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sl = statements(n)
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r += _replace(sl, io_var_dict, do_var)
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# assign to output signals
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r += [v.eq(do_var[k]) for k, v in do.items()]
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# prepare the next i+o dictionary
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io_var_dict = do_var.copy()
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return r
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