for point, enabled in self.items():
yield enabled.eq(rhs[point])
- def as_mask(self, width):
+ def as_mask(self, width, mul=1):
"""Create a bit-mask from `self`.
Each bit in the returned mask is clear only if the partition point at
the same bit-index is enabled.
:param width: the bit width of the resulting mask
+ :param mul: a "multiplier" which in-place expands the partition points
+ typically set to "2" when used for multipliers
"""
bits = []
for i in range(width):
- if i in self:
+ i /= mul
+ if i.is_integer() and int(i) in self:
bits.append(~self[i])
else:
bits.append(True)
supported, except for by ``Signal.eq``.
"""
- def __init__(self, width, partition_points):
+ def __init__(self, width, partition_points, partition_step=1):
"""Create a ``PartitionedAdder``.
:param width: the bit width of the input and output
:param partition_points: the input partition points
+ :param partition_step: a multiplier (typically double) step
+ which in-place "expands" the partition points
"""
self.width = width
+ self.pmul = partition_step
self.a = Signal(width, reset_less=True)
self.b = Signal(width, reset_less=True)
self.output = Signal(width, reset_less=True)
# carry has been carried *over* the break point.
for i in range(self.width):
- if i in self.partition_points:
+ pi = i/self.pmul # double the range of the partition point test
+ if pi.is_integer() and pi in self.partition_points:
# add extra bit set to 0 + 0 for enabled partition points
# and 1 + 0 for disabled partition points
ea.append(expanded_a[expanded_index])
- al.append(~self.partition_points[i]) # add extra bit in a
+ al.append(~self.partition_points[pi]) # add extra bit in a
eb.append(expanded_b[expanded_index])
bl.append(C(0)) # yes, add a zero
expanded_index += 1 # skip the extra point. NOT in the output
class AddReduceData:
- def __init__(self, ppoints, n_inputs, output_width, n_parts):
+ def __init__(self, part_pts, n_inputs, output_width, n_parts):
self.part_ops = [Signal(2, name=f"part_ops_{i}", reset_less=True)
for i in range(n_parts)]
- self.inputs = [Signal(output_width, name=f"inputs_{i}",
+ self.terms = [Signal(output_width, name=f"inputs_{i}",
reset_less=True)
for i in range(n_inputs)]
- self.reg_partition_points = ppoints.like()
+ self.part_pts = part_pts.like()
- def eq_from(self, reg_partition_points, inputs, part_ops):
- return [self.reg_partition_points.eq(reg_partition_points)] + \
- [self.inputs[i].eq(inputs[i])
- for i in range(len(self.inputs))] + \
+ def eq_from(self, part_pts, inputs, part_ops):
+ return [self.part_pts.eq(part_pts)] + \
+ [self.terms[i].eq(inputs[i])
+ for i in range(len(self.terms))] + \
[self.part_ops[i].eq(part_ops[i])
for i in range(len(self.part_ops))]
def eq(self, rhs):
- return self.eq_from(rhs.reg_partition_points, rhs.inputs, rhs.part_ops)
+ return self.eq_from(rhs.part_pts, rhs.terms, rhs.part_ops)
class FinalReduceData:
- def __init__(self, ppoints, output_width, n_parts):
+ def __init__(self, part_pts, output_width, n_parts):
self.part_ops = [Signal(2, name=f"part_ops_{i}", reset_less=True)
for i in range(n_parts)]
self.output = Signal(output_width, reset_less=True)
- self.reg_partition_points = ppoints.like()
+ self.part_pts = part_pts.like()
- def eq_from(self, reg_partition_points, output, part_ops):
- return [self.reg_partition_points.eq(reg_partition_points)] + \
+ def eq_from(self, part_pts, output, part_ops):
+ return [self.part_pts.eq(part_pts)] + \
[self.output.eq(output)] + \
[self.part_ops[i].eq(part_ops[i])
for i in range(len(self.part_ops))]
def eq(self, rhs):
- return self.eq_from(rhs.reg_partition_points, rhs.output, rhs.part_ops)
+ return self.eq_from(rhs.part_pts, rhs.output, rhs.part_ops)
class FinalAdd(Elaboratable):
""" Final stage of add reduce
"""
- def __init__(self, n_inputs, output_width, n_parts, register_levels,
- partition_points):
- self.i = AddReduceData(partition_points, n_inputs,
- output_width, n_parts)
- self.o = FinalReduceData(partition_points, output_width, n_parts)
+ def __init__(self, n_inputs, output_width, n_parts, partition_points,
+ partition_step=1):
+ self.partition_step = partition_step
self.output_width = output_width
self.n_inputs = n_inputs
self.n_parts = n_parts
- self.register_levels = list(register_levels)
self.partition_points = PartitionPoints(partition_points)
if not self.partition_points.fits_in_width(output_width):
raise ValueError("partition_points doesn't fit in output_width")
+ self.i = self.ispec()
+ self.o = self.ospec()
+
+ def ispec(self):
+ return AddReduceData(self.partition_points, self.n_inputs,
+ self.output_width, self.n_parts)
+
+ def ospec(self):
+ return FinalReduceData(self.partition_points,
+ self.output_width, self.n_parts)
+
def elaborate(self, platform):
"""Elaborate this module."""
m = Module()
m.d.comb += output.eq(0)
elif self.n_inputs == 1:
# handle single input
- m.d.comb += output.eq(self.i.inputs[0])
+ m.d.comb += output.eq(self.i.terms[0])
else:
# base case for adding 2 inputs
assert self.n_inputs == 2
- adder = PartitionedAdder(output_width, self.i.reg_partition_points)
+ adder = PartitionedAdder(output_width,
+ self.i.part_pts, self.partition_step)
m.submodules.final_adder = adder
- m.d.comb += adder.a.eq(self.i.inputs[0])
- m.d.comb += adder.b.eq(self.i.inputs[1])
+ m.d.comb += adder.a.eq(self.i.terms[0])
+ m.d.comb += adder.b.eq(self.i.terms[1])
m.d.comb += output.eq(adder.output)
# create output
- m.d.comb += self.o.eq_from(self.i.reg_partition_points, output,
+ m.d.comb += self.o.eq_from(self.i.part_pts, output,
self.i.part_ops)
return m
supported, except for by ``Signal.eq``.
"""
- def __init__(self, n_inputs, output_width, n_parts, register_levels,
- partition_points):
+ def __init__(self, n_inputs, output_width, n_parts, partition_points):
"""Create an ``AddReduce``.
:param inputs: input ``Signal``s to be summed.
:param output_width: bit-width of ``output``.
- :param register_levels: List of nesting levels that should have
- pipeline registers.
:param partition_points: the input partition points.
"""
self.n_inputs = n_inputs
self.n_parts = n_parts
self.output_width = output_width
- self.i = AddReduceData(partition_points, n_inputs,
- output_width, n_parts)
- self.register_levels = list(register_levels)
self.partition_points = PartitionPoints(partition_points)
if not self.partition_points.fits_in_width(output_width):
raise ValueError("partition_points doesn't fit in output_width")
- max_level = AddReduceSingle.get_max_level(n_inputs)
- for level in self.register_levels:
- if level > max_level:
- raise ValueError(
- "not enough adder levels for specified register levels")
-
self.groups = AddReduceSingle.full_adder_groups(n_inputs)
- n_terms = AddReduceSingle.calc_n_inputs(n_inputs, self.groups)
- self.o = AddReduceData(partition_points, n_terms, output_width, n_parts)
+ self.n_terms = AddReduceSingle.calc_n_inputs(n_inputs, self.groups)
+
+ self.i = self.ispec()
+ self.o = self.ospec()
+
+ def ispec(self):
+ return AddReduceData(self.partition_points, self.n_inputs,
+ self.output_width, self.n_parts)
+
+ def ospec(self):
+ return AddReduceData(self.partition_points, self.n_terms,
+ self.output_width, self.n_parts)
@staticmethod
def calc_n_inputs(n_inputs, groups):
terms.append(adder_i.mcarry)
# handle the remaining inputs.
if self.n_inputs % FULL_ADDER_INPUT_COUNT == 1:
- terms.append(self.i.inputs[-1])
+ terms.append(self.i.terms[-1])
elif self.n_inputs % FULL_ADDER_INPUT_COUNT == 2:
# Just pass the terms to the next layer, since we wouldn't gain
# anything by using a half adder since there would still be 2 terms
# and just passing the terms to the next layer saves gates.
- terms.append(self.i.inputs[-2])
- terms.append(self.i.inputs[-1])
+ terms.append(self.i.terms[-2])
+ terms.append(self.i.terms[-1])
else:
assert self.n_inputs % FULL_ADDER_INPUT_COUNT == 0
# copy the intermediate terms to the output
for i, value in enumerate(terms):
- m.d.comb += self.o.inputs[i].eq(value)
+ m.d.comb += self.o.terms[i].eq(value)
# copy reg part points and part ops to output
- m.d.comb += self.o.reg_partition_points.eq(self.i.reg_partition_points)
+ m.d.comb += self.o.part_pts.eq(self.i.part_pts)
m.d.comb += [self.o.part_ops[i].eq(self.i.part_ops[i])
for i in range(len(self.i.part_ops))]
# set up the partition mask (for the adders)
part_mask = Signal(self.output_width, reset_less=True)
- mask = self.i.reg_partition_points.as_mask(self.output_width)
+ # get partition points as a mask
+ mask = self.i.part_pts.as_mask(self.output_width, mul=2)
m.d.comb += part_mask.eq(mask)
# add and link the intermediate term modules
for i, (iidx, adder_i) in enumerate(adders):
setattr(m.submodules, f"adder_{i}", adder_i)
- m.d.comb += adder_i.in0.eq(self.i.inputs[iidx])
- m.d.comb += adder_i.in1.eq(self.i.inputs[iidx + 1])
- m.d.comb += adder_i.in2.eq(self.i.inputs[iidx + 2])
+ m.d.comb += adder_i.in0.eq(self.i.terms[iidx])
+ m.d.comb += adder_i.in1.eq(self.i.terms[iidx + 1])
+ m.d.comb += adder_i.in2.eq(self.i.terms[iidx + 2])
m.d.comb += adder_i.mask.eq(part_mask)
return m
-class AddReduce(Elaboratable):
+class AddReduceInternal:
"""Recursively Add list of numbers together.
:attribute inputs: input ``Signal``s to be summed. Modification not
supported, except for by ``Signal.eq``.
"""
- def __init__(self, inputs, output_width, register_levels, partition_points,
- part_ops):
+ def __init__(self, i, output_width, partition_step=1):
"""Create an ``AddReduce``.
:param inputs: input ``Signal``s to be summed.
:param output_width: bit-width of ``output``.
- :param register_levels: List of nesting levels that should have
- pipeline registers.
:param partition_points: the input partition points.
"""
- self.inputs = inputs
- self.part_ops = part_ops
- n_parts = len(part_ops)
- self.o = FinalReduceData(partition_points, output_width, n_parts)
+ self.i = i
+ self.inputs = i.terms
+ self.part_ops = i.part_ops
self.output_width = output_width
- self.register_levels = register_levels
- self.partition_points = partition_points
+ self.partition_points = i.part_pts
+ self.partition_step = partition_step
self.create_levels()
- @staticmethod
- def get_max_level(input_count):
- return AddReduceSingle.get_max_level(input_count)
-
- @staticmethod
- def next_register_levels(register_levels):
- """``Iterable`` of ``register_levels`` for next recursive level."""
- for level in register_levels:
- if level > 0:
- yield level - 1
-
def create_levels(self):
"""creates reduction levels"""
mods = []
- next_levels = self.register_levels
partition_points = self.partition_points
part_ops = self.part_ops
n_parts = len(part_ops)
if len(groups) == 0:
break
next_level = AddReduceSingle(ilen, self.output_width, n_parts,
- next_levels, partition_points)
+ partition_points)
mods.append(next_level)
- next_levels = list(AddReduce.next_register_levels(next_levels))
- partition_points = next_level.i.reg_partition_points
- inputs = next_level.o.inputs
+ partition_points = next_level.i.part_pts
+ inputs = next_level.o.terms
ilen = len(inputs)
part_ops = next_level.i.part_ops
next_level = FinalAdd(ilen, self.output_width, n_parts,
- next_levels, partition_points)
+ partition_points, self.partition_step)
mods.append(next_level)
self.levels = mods
+
+class AddReduce(AddReduceInternal, Elaboratable):
+ """Recursively Add list of numbers together.
+
+ :attribute inputs: input ``Signal``s to be summed. Modification not
+ supported, except for by ``Signal.eq``.
+ :attribute register_levels: List of nesting levels that should have
+ pipeline registers.
+ :attribute output: output sum.
+ :attribute partition_points: the input partition points. Modification not
+ supported, except for by ``Signal.eq``.
+ """
+
+ def __init__(self, inputs, output_width, register_levels, part_pts,
+ part_ops, partition_step=1):
+ """Create an ``AddReduce``.
+
+ :param inputs: input ``Signal``s to be summed.
+ :param output_width: bit-width of ``output``.
+ :param register_levels: List of nesting levels that should have
+ pipeline registers.
+ :param partition_points: the input partition points.
+ """
+ self._inputs = inputs
+ self._part_pts = part_pts
+ self._part_ops = part_ops
+ n_parts = len(part_ops)
+ self.i = AddReduceData(part_pts, len(inputs),
+ output_width, n_parts)
+ AddReduceInternal.__init__(self, self.i, output_width, partition_step)
+ self.o = FinalReduceData(part_pts, output_width, n_parts)
+ self.register_levels = register_levels
+
+ @staticmethod
+ def get_max_level(input_count):
+ return AddReduceSingle.get_max_level(input_count)
+
+ @staticmethod
+ def next_register_levels(register_levels):
+ """``Iterable`` of ``register_levels`` for next recursive level."""
+ for level in register_levels:
+ if level > 0:
+ yield level - 1
+
def elaborate(self, platform):
"""Elaborate this module."""
m = Module()
+ m.d.comb += self.i.eq_from(self._part_pts, self._inputs, self._part_ops)
+
for i, next_level in enumerate(self.levels):
setattr(m.submodules, "next_level%d" % i, next_level)
- partition_points = self.partition_points
- inputs = self.inputs
- part_ops = self.part_ops
- n_parts = len(part_ops)
- n_inputs = len(inputs)
- output_width = self.output_width
- i = AddReduceData(partition_points, n_inputs, output_width, n_parts)
- m.d.comb += i.eq_from(partition_points, inputs, part_ops)
+ i = self.i
for idx in range(len(self.levels)):
mcur = self.levels[idx]
- if 0 in mcur.register_levels:
+ if idx in self.register_levels:
m.d.sync += mcur.i.eq(i)
else:
m.d.comb += mcur.i.eq(i)
bsb = Signal(self.width, reset_less=True)
a_index, b_index = self.a_index, self.b_index
pwidth = self.pwidth
- m.d.comb += bsa.eq(self.a.part(a_index * pwidth, pwidth))
- m.d.comb += bsb.eq(self.b.part(b_index * pwidth, pwidth))
+ m.d.comb += bsa.eq(self.a.bit_select(a_index * pwidth, pwidth))
+ m.d.comb += bsb.eq(self.b.bit_select(b_index * pwidth, pwidth))
m.d.comb += self.ti.eq(bsa * bsb)
m.d.comb += self.term.eq(get_term(self.ti, self.shift, self.enabled))
"""
asel = Signal(width, reset_less=True)
bsel = Signal(width, reset_less=True)
a_index, b_index = self.a_index, self.b_index
- m.d.comb += asel.eq(self.a.part(a_index * pwidth, pwidth))
- m.d.comb += bsel.eq(self.b.part(b_index * pwidth, pwidth))
+ m.d.comb += asel.eq(self.a.bit_select(a_index * pwidth, pwidth))
+ m.d.comb += bsel.eq(self.b.bit_select(b_index * pwidth, pwidth))
m.d.comb += bsa.eq(get_term(asel, self.shift, self.enabled))
m.d.comb += bsb.eq(get_term(bsel, self.shift, self.enabled))
m.d.comb += self.ti.eq(bsa * bsb)
class Parts(Elaboratable):
- def __init__(self, pbwid, epps, n_parts):
+ def __init__(self, pbwid, part_pts, n_parts):
self.pbwid = pbwid
# inputs
- self.epps = PartitionPoints.like(epps, name="epps") # expanded points
+ self.part_pts = PartitionPoints.like(part_pts)
# outputs
self.parts = [Signal(name=f"part_{i}", reset_less=True)
for i in range(n_parts)]
def elaborate(self, platform):
m = Module()
- epps, parts = self.epps, self.parts
+ part_pts, parts = self.part_pts, self.parts
# collect part-bytes (double factor because the input is extended)
pbs = Signal(self.pbwid, reset_less=True)
tl = []
for i in range(self.pbwid):
pb = Signal(name="pb%d" % i, reset_less=True)
- m.d.comb += pb.eq(epps.part_byte(i, mfactor=2)) # double
+ m.d.comb += pb.eq(part_pts.part_byte(i))
tl.append(pb)
m.d.comb += pbs.eq(Cat(*tl))
the extra terms - as separate terms - are then thrown at the
AddReduce alongside the multiplication part-results.
"""
- def __init__(self, epps, width, n_parts, n_levels, pbwid):
+ def __init__(self, part_pts, width, n_parts, n_levels, pbwid):
self.pbwid = pbwid
- self.epps = epps
+ self.part_pts = part_pts
# inputs
self.a = Signal(64, reset_less=True)
m = Module()
pbs, parts = self.pbs, self.parts
- epps = self.epps
- m.submodules.p = p = Parts(self.pbwid, epps, len(parts))
- m.d.comb += p.epps.eq(epps)
+ part_pts = self.part_pts
+ m.submodules.p = p = Parts(self.pbwid, part_pts, len(parts))
+ m.d.comb += p.part_pts.eq(part_pts)
parts = p.parts
byte_count = 8 // len(parts)
pa = LSBNegTerm(bit_wid)
setattr(m.submodules, "lnt_%d_a_%d" % (bit_wid, i), pa)
m.d.comb += pa.part.eq(parts[i])
- m.d.comb += pa.op.eq(self.a.part(bit_wid * i, bit_wid))
+ m.d.comb += pa.op.eq(self.a.bit_select(bit_wid * i, bit_wid))
m.d.comb += pa.signed.eq(self.b_signed[i * byte_width]) # yes b
m.d.comb += pa.msb.eq(self.b[(i + 1) * bit_wid - 1]) # really, b
nat.append(pa.nt)
pb = LSBNegTerm(bit_wid)
setattr(m.submodules, "lnt_%d_b_%d" % (bit_wid, i), pb)
m.d.comb += pb.part.eq(parts[i])
- m.d.comb += pb.op.eq(self.b.part(bit_wid * i, bit_wid))
+ m.d.comb += pb.op.eq(self.b.bit_select(bit_wid * i, bit_wid))
m.d.comb += pb.signed.eq(self.a_signed[i * byte_width]) # yes a
m.d.comb += pb.msb.eq(self.a[(i + 1) * bit_wid - 1]) # really, a
nbt.append(pb.nt)
op = Signal(w, reset_less=True, name="op%d_%d" % (w, i))
m.d.comb += op.eq(
Mux(self.part_ops[sel * i] == OP_MUL_LOW,
- self.intermed.part(i * w*2, w),
- self.intermed.part(i * w*2 + w, w)))
+ self.intermed.bit_select(i * w*2, w),
+ self.intermed.bit_select(i * w*2 + w, w)))
ol.append(op)
m.d.comb += self.output.eq(Cat(*ol))
that some partitions requested 8-bit computation whilst others
requested 16 or 32 bit.
"""
- def __init__(self, output_width, n_parts, partition_points):
- self.expanded_part_points = partition_points
- self.i = IntermediateData(partition_points, output_width, n_parts)
+ def __init__(self, output_width, n_parts, part_pts):
+ self.part_pts = part_pts
+ self.output_width = output_width
+ self.n_parts = n_parts
self.out_wid = output_width//2
- # output
- self.out = Signal(self.out_wid, reset_less=True)
- self.intermediate_output = Signal(output_width, reset_less=True)
+
+ self.i = self.ispec()
+ self.o = self.ospec()
+
+ def ispec(self):
+ return IntermediateData(self.part_pts, self.output_width, self.n_parts)
+
+ def ospec(self):
+ return OutputData()
def elaborate(self, platform):
m = Module()
- eps = self.expanded_part_points
- m.submodules.p_8 = p_8 = Parts(8, eps, 8)
- m.submodules.p_16 = p_16 = Parts(8, eps, 4)
- m.submodules.p_32 = p_32 = Parts(8, eps, 2)
- m.submodules.p_64 = p_64 = Parts(8, eps, 1)
+ part_pts = self.part_pts
+ m.submodules.p_8 = p_8 = Parts(8, part_pts, 8)
+ m.submodules.p_16 = p_16 = Parts(8, part_pts, 4)
+ m.submodules.p_32 = p_32 = Parts(8, part_pts, 2)
+ m.submodules.p_64 = p_64 = Parts(8, part_pts, 1)
- out_part_pts = self.i.reg_partition_points
+ out_part_pts = self.i.part_pts
# temporaries
d8 = [Signal(name=f"d8_{i}", reset_less=True) for i in range(8)]
i32 = Signal(self.out_wid, reset_less=True)
i64 = Signal(self.out_wid, reset_less=True)
- m.d.comb += p_8.epps.eq(out_part_pts)
- m.d.comb += p_16.epps.eq(out_part_pts)
- m.d.comb += p_32.epps.eq(out_part_pts)
- m.d.comb += p_64.epps.eq(out_part_pts)
+ m.d.comb += p_8.part_pts.eq(out_part_pts)
+ m.d.comb += p_16.part_pts.eq(out_part_pts)
+ m.d.comb += p_32.part_pts.eq(out_part_pts)
+ m.d.comb += p_64.part_pts.eq(out_part_pts)
for i in range(len(p_8.parts)):
m.d.comb += d8[i].eq(p_8.parts[i])
op = Signal(8, reset_less=True, name="op_%d" % i)
m.d.comb += op.eq(
Mux(d8[i] | d16[i // 2],
- Mux(d8[i], i8.part(i * 8, 8), i16.part(i * 8, 8)),
- Mux(d32[i // 4], i32.part(i * 8, 8), i64.part(i * 8, 8))))
+ Mux(d8[i], i8.bit_select(i * 8, 8),
+ i16.bit_select(i * 8, 8)),
+ Mux(d32[i // 4], i32.bit_select(i * 8, 8),
+ i64.bit_select(i * 8, 8))))
ol.append(op)
- m.d.comb += self.out.eq(Cat(*ol))
- m.d.comb += self.intermediate_output.eq(self.i.intermediate_output)
+
+ # create outputs
+ m.d.comb += self.o.output.eq(Cat(*ol))
+ m.d.comb += self.o.intermediate_output.eq(self.i.intermediate_output)
+
return m
class IntermediateData:
- def __init__(self, ppoints, output_width, n_parts):
+ def __init__(self, part_pts, output_width, n_parts):
self.part_ops = [Signal(2, name=f"part_ops_{i}", reset_less=True)
for i in range(n_parts)]
- self.reg_partition_points = ppoints.like()
+ self.part_pts = part_pts.like()
self.outputs = [Signal(output_width, name="io%d" % i, reset_less=True)
for i in range(4)]
# intermediates (needed for unit tests)
self.intermediate_output = Signal(output_width)
- def eq_from(self, reg_partition_points, outputs, intermediate_output,
+ def eq_from(self, part_pts, outputs, intermediate_output,
part_ops):
- return [self.reg_partition_points.eq(reg_partition_points)] + \
+ return [self.part_pts.eq(part_pts)] + \
[self.intermediate_output.eq(intermediate_output)] + \
[self.outputs[i].eq(outputs[i])
for i in range(4)] + \
for i in range(len(self.part_ops))]
def eq(self, rhs):
- return self.eq_from(rhs.reg_partition_points, rhs.outputs,
+ return self.eq_from(rhs.part_pts, rhs.outputs,
rhs.intermediate_output, rhs.part_ops)
-class AllTermsData:
+class InputData:
- def __init__(self, partition_points):
+ def __init__(self):
self.a = Signal(64)
self.b = Signal(64)
- self.epps = partition_points.like()
+ self.part_pts = PartitionPoints()
+ for i in range(8, 64, 8):
+ self.part_pts[i] = Signal(name=f"part_pts_{i}")
self.part_ops = [Signal(2, name=f"part_ops_{i}") for i in range(8)]
- def eq_from(self, epps, inputs, part_ops):
- return [self.epps.eq(epps)] + \
+ def eq_from(self, part_pts, a, b, part_ops):
+ return [self.part_pts.eq(part_pts)] + \
[self.a.eq(a), self.b.eq(b)] + \
[self.part_ops[i].eq(part_ops[i])
for i in range(len(self.part_ops))]
def eq(self, rhs):
- return self.eq_from(rhs.epps, rhs.a, rhs.b, rhs.part_ops)
+ return self.eq_from(rhs.part_pts, rhs.a, rhs.b, rhs.part_ops)
+
+
+class OutputData:
+
+ def __init__(self):
+ self.intermediate_output = Signal(128) # needed for unit tests
+ self.output = Signal(64)
+
+ def eq(self, rhs):
+ return [self.intermediate_output.eq(rhs.intermediate_output),
+ self.output.eq(rhs.output)]
class AllTerms(Elaboratable):
"""Set of terms to be added together
"""
- def __init__(self, n_inputs, output_width, n_parts, register_levels,
- partition_points):
+ def __init__(self, n_inputs, output_width, n_parts, register_levels):
"""Create an ``AddReduce``.
:param inputs: input ``Signal``s to be summed.
pipeline registers.
:param partition_points: the input partition points.
"""
- self.i = AllTermsData(partition_points)
self.register_levels = register_levels
self.n_inputs = n_inputs
self.n_parts = n_parts
self.output_width = output_width
- self.o = AddReduceData(self.i.epps, n_inputs,
- output_width, n_parts)
+
+ self.i = self.ispec()
+ self.o = self.ospec()
+
+ def ispec(self):
+ return InputData()
+
+ def ospec(self):
+ return AddReduceData(self.i.part_pts, self.n_inputs,
+ self.output_width, self.n_parts)
def elaborate(self, platform):
m = Module()
- eps = self.i.epps
+ eps = self.i.part_pts
# collect part-bytes
pbs = Signal(8, reset_less=True)
tl = []
for i in range(8):
pb = Signal(name="pb%d" % i, reset_less=True)
- m.d.comb += pb.eq(eps.part_byte(i, mfactor=2))
+ m.d.comb += pb.eq(eps.part_byte(i))
tl.append(pb)
m.d.comb += pbs.eq(Cat(*tl))
# copy the intermediate terms to the output
for i, value in enumerate(terms):
- m.d.comb += self.o.inputs[i].eq(value)
+ m.d.comb += self.o.terms[i].eq(value)
# copy reg part points and part ops to output
- m.d.comb += self.o.reg_partition_points.eq(eps)
+ m.d.comb += self.o.part_pts.eq(eps)
m.d.comb += [self.o.part_ops[i].eq(self.i.part_ops[i])
for i in range(len(self.i.part_ops))]
""" Intermediate output modules
"""
- def __init__(self, output_width, n_parts, partition_points):
- self.i = FinalReduceData(partition_points, output_width, n_parts)
- self.o = IntermediateData(partition_points, output_width, n_parts)
+ def __init__(self, output_width, n_parts, part_pts):
+ self.part_pts = part_pts
+ self.output_width = output_width
+ self.n_parts = n_parts
+
+ self.i = self.ispec()
+ self.o = self.ospec()
+
+ def ispec(self):
+ return FinalReduceData(self.part_pts, self.output_width, self.n_parts)
+
+ def ospec(self):
+ return IntermediateData(self.part_pts, self.output_width, self.n_parts)
def elaborate(self, platform):
m = Module()
out_part_ops = self.i.part_ops
- out_part_pts = self.i.reg_partition_points
+ out_part_pts = self.i.part_pts
# create _output_64
m.submodules.io64 = io64 = IntermediateOut(64, 128, 1)
for i in range(8):
m.d.comb += self.o.part_ops[i].eq(out_part_ops[i])
- m.d.comb += self.o.reg_partition_points.eq(out_part_pts)
+ m.d.comb += self.o.part_pts.eq(out_part_pts)
m.d.comb += self.o.intermediate_output.eq(self.i.output)
return m
# parameter(s)
self.register_levels = list(register_levels)
- # inputs
- self.part_pts = PartitionPoints()
- for i in range(8, 64, 8):
- self.part_pts[i] = Signal(name=f"part_pts_{i}")
- self.part_ops = [Signal(2, name=f"part_ops_{i}") for i in range(8)]
- self.a = Signal(64)
- self.b = Signal(64)
+ self.i = self.ispec()
+ self.o = self.ospec()
- # intermediates (needed for unit tests)
- self.intermediate_output = Signal(128)
+ # inputs
+ self.part_pts = self.i.part_pts
+ self.part_ops = self.i.part_ops
+ self.a = self.i.a
+ self.b = self.i.b
# output
- self.output = Signal(64)
+ self.intermediate_output = self.o.intermediate_output
+ self.output = self.o.output
+
+ def ispec(self):
+ return InputData()
+
+ def ospec(self):
+ return OutputData()
def elaborate(self, platform):
m = Module()
- # create (doubled) PartitionPoints (output is double input width)
- expanded_part_pts = eps = PartitionPoints()
- for i, v in self.part_pts.items():
- ep = Signal(name=f"expanded_part_pts_{i*2}", reset_less=True)
- expanded_part_pts[i * 2] = ep
- m.d.comb += ep.eq(v)
+ part_pts = self.part_pts
n_inputs = 64 + 4
- n_parts = 8 #len(self.part_pts)
- t = AllTerms(n_inputs, 128, n_parts, self.register_levels,
- eps)
+ n_parts = 8
+ t = AllTerms(n_inputs, 128, n_parts, self.register_levels)
m.submodules.allterms = t
- m.d.comb += t.i.a.eq(self.a)
- m.d.comb += t.i.b.eq(self.b)
- m.d.comb += t.i.epps.eq(eps)
- for i in range(8):
- m.d.comb += t.i.part_ops[i].eq(self.part_ops[i])
+ m.d.comb += t.i.eq(self.i)
- terms = t.o.inputs
+ terms = t.o.terms
add_reduce = AddReduce(terms,
128,
self.register_levels,
- t.o.reg_partition_points,
- t.o.part_ops)
-
- out_part_ops = add_reduce.o.part_ops
- out_part_pts = add_reduce.o.reg_partition_points
+ t.o.part_pts,
+ t.o.part_ops,
+ partition_step=2)
m.submodules.add_reduce = add_reduce
- interm = Intermediates(128, 8, expanded_part_pts)
+ interm = Intermediates(128, 8, part_pts)
m.submodules.intermediates = interm
m.d.comb += interm.i.eq(add_reduce.o)
# final output
- m.submodules.finalout = finalout = FinalOut(128, 8, expanded_part_pts)
+ m.submodules.finalout = finalout = FinalOut(128, 8, part_pts)
m.d.comb += finalout.i.eq(interm.o)
- m.d.comb += self.output.eq(finalout.out)
- m.d.comb += self.intermediate_output.eq(finalout.intermediate_output)
+ m.d.comb += self.o.eq(finalout.o)
return m
projects / ieee754fpu.git / blobdiff