M-Labs
/
rtio-nmigen
7
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Rewrite sorting network to follow nMigen convention

This commit is contained in:
Donald Sebastian Leung 2020-10-23 14:57:29 +08:00
parent 3c1db87457
commit e3a8229ac2
2 changed files with 59 additions and 67 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -36,7 +36,7 @@ $ python -m rtio.test.sed.output_network
- - [ ] `rtio.cri` (`Interface` and `CRIDecoder` only)
- - [ ] `rtio.rtlink`
- - [ ] `rtio.sed.layouts`
- - [ ] `rtio.sed.output_network`
- - [x] `rtio.sed.output_network`
- - [ ] `rtio.sed.output_driver`
## License

124
rtio/sed/output_network.py
View File

@ -46,82 +46,75 @@ def cmp_wrap(a, b):
class OutputNetwork(Elaboratable):
def __init__(self, lane_count, seqn_width, layout_payload, *, fv_mode=False):
m = Module()
self.m = m
self.input = [Record(layouts.output_network_node(seqn_width, layout_payload))
for _ in range(lane_count)]
self.output = None
self.lane_count = lane_count
self.seqn_width = seqn_width
self.layout_payload = layout_payload
self.fv_mode = fv_mode
if fv_mode:
# Model arbitrary inputs for network nodes
for i in range(lane_count):
m.d.comb += self.input[i].valid.eq(1)
m.d.comb += self.input[i].seqn.eq(AnySeq(seqn_width))
m.d.comb += self.input[i].replace_occured.eq(0)
m.d.comb += self.input[i].nondata_replace_occured.eq(0)
for field, width in layout_payload:
m.d.comb += getattr(self.input[i].payload, field).eq(AnySeq(width))
step_input = self.input
for step in boms_steps_pairs(lane_count):
step_output = []
for i in range(lane_count):
rec = Record(layouts.output_network_node(seqn_width, layout_payload),
reset_less=True)
rec.valid.reset_less = False
step_output.append(rec)
for node1, node2 in step:
nondata_difference = Signal()
self.steps = boms_steps_pairs(lane_count)
self.network = [[Record(layouts.output_network_node(seqn_width, layout_payload)) for _ in range(lane_count)] for _ in range(len(self.steps) + 1)]
for i in range(1, len(self.steps) + 1):
for rec in self.network[i]:
rec.seqn.reset_less = True
rec.replace_occured.reset_less = True
rec.nondata_replace_occured.reset_less = True
for field, _ in layout_payload:
if field != "data":
f1 = getattr(step_input[node1].payload, field)
f2 = getattr(step_input[node2].payload, field)
getattr(rec.payload, field).reset_less = True
self.input = self.network[0]
self.output = self.network[-1]
def elaborate(self, platform):
m = Module()
for i in range(len(self.steps)):
for node1, node2 in self.steps[i]:
nondata_difference = Signal()
for field, _ in self.layout_payload:
if field != 'data':
f1 = getattr(self.network[i][node1].payload, field)
f2 = getattr(self.network[i][node2].payload, field)
with m.If(f1 != f2):
m.d.comb += nondata_difference.eq(1)
k1 = Cat(step_input[node1].payload.channel, ~step_input[node1].valid)
k2 = Cat(step_input[node2].payload.channel, ~step_input[node2].valid)
k1 = Cat(self.network[i][node1].payload.channel, ~self.network[i][node1].valid)
k2 = Cat(self.network[i][node2].payload.channel, ~self.network[i][node2].valid)
with m.If(k1 == k2):
with m.If(cmp_wrap(step_input[node1].seqn, step_input[node2].seqn)):
m.d.sync += step_output[node1].eq(step_input[node2])
m.d.sync += step_output[node2].eq(step_input[node1])
with m.If(cmp_wrap(self.network[i][node1].seqn, self.network[i][node2].seqn)):
m.d.sync += self.network[i + 1][node1].eq(self.network[i][node2])
m.d.sync += self.network[i + 1][node2].eq(self.network[i][node1])
with m.Else():
m.d.sync += step_output[node1].eq(step_input[node1])
m.d.sync += step_output[node2].eq(step_input[node2])
m.d.sync += step_output[node1].replace_occured.eq(1)
m.d.sync += step_output[node1].nondata_replace_occured.eq(nondata_difference)
m.d.sync += step_output[node2].valid.eq(0)
m.d.sync += self.network[i + 1][node1].eq(self.network[i][node1])
m.d.sync += self.network[i + 1][node2].eq(self.network[i][node2])
m.d.sync += self.network[i + 1][node1].replace_occured.eq(1)
m.d.sync += self.network[i + 1][node1].nondata_replace_occured.eq(nondata_difference)
m.d.sync += self.network[i + 1][node2].valid.eq(0)
with m.Elif(k1 < k2):
m.d.sync += step_output[node1].eq(step_input[node1])
m.d.sync += step_output[node2].eq(step_input[node2])
m.d.sync += self.network[i + 1][node1].eq(self.network[i][node1])
m.d.sync += self.network[i + 1][node2].eq(self.network[i][node2])
with m.Else():
m.d.sync += step_output[node1].eq(step_input[node2])
m.d.sync += step_output[node2].eq(step_input[node1])
unchanged = list(range(lane_count))
for node1, node2 in step:
m.d.sync += self.network[i + 1][node1].eq(self.network[i][node2])
m.d.sync += self.network[i + 1][node2].eq(self.network[i][node1])
unchanged = list(range(self.lane_count))
for node1, node2 in self.steps[i]:
unchanged.remove(node1)
unchanged.remove(node2)
for node in unchanged:
m.d.sync += step_output[node].eq(step_input[node])
m.d.sync += self.network[i + 1][node].eq(self.network[i][node])
self.output = step_output
step_input = step_output
if fv_mode:
# Sanity checks
assert self.output is not None
assert len(self.input) == lane_count
assert len(self.output) == lane_count
# Indicator of when Past() is valid
f_past_valid = Signal()
m.d.sync += f_past_valid.eq(1)
if self.fv_mode:
# Model arbitrary inputs for network nodes
for i in range(self.lane_count):
m.d.comb += self.input[i].valid.eq(1)
m.d.comb += self.input[i].seqn.eq(AnySeq(self.seqn_width))
m.d.comb += self.input[i].replace_occured.eq(0)
m.d.comb += self.input[i].nondata_replace_occured.eq(0)
for field, width in self.layout_payload:
m.d.comb += getattr(self.input[i].payload, field).eq(AnySeq(width))
# Indicator of when inputs from the first clock cycle make it
# through the sorting network
network_latency = latency(lane_count)
network_latency = latency(self.lane_count)
counter = Signal(range(network_latency + 1))
m.d.sync += counter.eq(counter + 1)
with m.If(counter == network_latency):
@ -142,7 +135,7 @@ class OutputNetwork(Elaboratable):
with m.If(k1 == k2):
m.d.comb += channels_unique.eq(0)
# If there are no replacements then:
# - (Input) channel numbers are unique
# - Channel numbers are unique
# - All outputs are valid
# - All inputs make it through the sorting network
with m.If(~replacement_occurred):
@ -161,14 +154,14 @@ class OutputNetwork(Elaboratable):
m.d.comb += match.eq(0)
with m.If(Past(input_node.nondata_replace_occured, clocks=network_latency) != output_node.nondata_replace_occured):
m.d.comb += match.eq(0)
for field, _ in layout_payload:
for field, _ in self.layout_payload:
with m.If(Past(getattr(input_node.payload, field), clocks=network_latency) != getattr(output_node.payload, field)):
m.d.comb += match.eq(0)
with m.If(match):
m.d.comb += appeared.eq(1)
m.d.comb += Assert(appeared)
# Otherwise, if there are replacements:
# - Channel numbers are not unique
# - Channel number are not unique
# - Not all outputs are valid
# - All channel numbers in the input appear exactly once as a
# valid output
@ -197,12 +190,11 @@ class OutputNetwork(Elaboratable):
match = Signal(reset=1)
with m.If(Past(input_node.seqn, clocks=network_latency) != output_node.seqn):
m.d.comb += match.eq(0)
for field, _ in layout_payload:
for field, _ in self.layout_payload:
with m.If(Past(getattr(input_node.payload, field), clocks=network_latency) != getattr(output_node.payload, field)):
m.d.comb += match.eq(0)
with m.If(match):
m.d.comb += found_input.eq(1)
m.d.comb += Assert(found_input)
def elaborate(self, platform):
return self.m
return m