23 Commits
Author SHA1 Message Date
stefan ea2ef1c3ec update rtd build image 2026-07-20 13:31:49 +09:00
stefan aabef17eea parse sky130 def files 2026-07-15 15:20:49 +09:00
stefan f0c10633bf disconnect unused clk from dff to prevent spurious sanity check fails 2026-07-05 10:26:37 +09:00
stefan ed9b5c6cd6 fix sim scheduler for circuits with POs that are also used internally 2026-07-05 09:48:20 +09:00
stefan e19463d249 fix LogicSim for 2v, deterministic sim schedule, towards sub-sims for partitions 2026-07-03 10:32:06 +09:00
stefan 7a69ce9016 sort times 2026-06-27 14:32:44 +09:00
stefan f5af7ec3d9 typing and docs for interpret, mvarray 2026-06-27 11:26:23 +09:00
stefan 53309f9e59 simple incremental sim using dirty flags 2026-06-25 14:28:54 +09:00
stefan c90bc89522 construct input connected to output on passthrough connection 2026-06-24 22:42:10 +09:00
stefan bda89dc1b0 support for simple text-based pattern format 2026-06-24 18:50:58 +09:00
stefan 449bf9a031 more flexible progress logging 2026-06-22 00:06:06 +09:00
stefan df463826ae fix ffr 2026-06-22 00:05:48 +09:00
stefan aebdf9540d pin_name type annotations 2026-06-21 21:27:33 +09:00
stefan 9dc58f8c40 dev deps 2026-06-21 21:27:13 +09:00
stefan e8a9025c56 fix dot graph construction 2026-06-21 21:27:02 +09:00
stefan 8aa0f09254 logic_sim: better docs, deprecate LogicSim, move tests to newer classes 2026-06-21 10:09:45 +09:00
stefan 4f7e605819 use tlib functions to identify ffs and latches 2026-06-21 09:28:19 +09:00
stefan c1ea05555e fix verilog tests 2026-06-21 09:26:51 +09:00
stefan e7b5567d87 let SimOps refuse building broken sim models. 2026-06-21 09:26:03 +09:00
stefan 3a2cfb7788 techlib decides on cell type comb/dff/latch 2026-06-17 12:33:09 +09:00
stefan ca25942b27 better type annotation, always return list 2026-06-12 16:13:34 +09:00
stefan f863b70457 use float32 for delays, more robust node-port name splitting 2026-05-27 17:02:42 +09:00
stefan bd23dfb016 get a techlib by name 2026-05-20 13:47:13 +09:00
19 changed files with 391 additions and 178 deletions

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+1 -1
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@@ -1,7 +1,7 @@
version: 2 version: 2
build: build:
os: "ubuntu-20.04" os: "ubuntu-24.04"
tools: tools:
python: "3.12" python: "3.12"
jobs: jobs:
+3 -1
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@@ -33,8 +33,10 @@ build-backend = "hatchling.build"
[dependency-groups] [dependency-groups]
dev = [ dev = [
"myst-parser>=4.0.1", "myst-parser>=4.0.1",
"pytest>=9.0.1",
"sphinx>=8.1.3", "sphinx>=8.1.3",
"sphinx-rtd-theme>=3.0.2", "sphinx-rtd-theme>=3.0.2",
"pytest>=9.0.1",
"ipython>=9.14.1",
"jupyter>=1.1.1",
] ]
+30 -18
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@@ -12,6 +12,8 @@ import gzip
import numpy as np import numpy as np
type NestedNumericList = list['int|NestedNumericList']
type NestedStrIntDict = dict[str,'int|NestedStrIntDict']
_pop_count_lut = np.asarray([bin(x).count('1') for x in range(256)]) _pop_count_lut = np.asarray([bin(x).count('1') for x in range(256)])
@@ -111,9 +113,9 @@ class Timer:
class Timers: class Timers:
def __init__(self, t={}): self.timers = defaultdict(Timer) | t def __init__(self, t={}): self.timers: dict[str, Timer] = defaultdict(Timer) | t
def __getitem__(self, name): return self.timers[name] def __getitem__(self, name): return self.timers[name]
def __repr__(self): return '{' + ', '.join([f'{k}: {v}' for k, v in self.timers.items()]) + '}' def __repr__(self): return '{' + ', '.join([f'{k}: {v:.2f}' for k, v in self.dict().items()]) + '}'
def __add__(self, t): def __add__(self, t):
tmr = Timers(self.timers) tmr = Timers(self.timers)
for k, v in t.timers.items(): tmr.timers[k] += v for k, v in t.timers.items(): tmr.timers[k] += v
@@ -121,7 +123,7 @@ class Timers:
def sum(self): def sum(self):
return sum([v.s for v in self.timers.values()]) return sum([v.s for v in self.timers.values()])
def dict(self): def dict(self):
return dict([(k, v.s) for k, v in self.timers.items()]) return dict(sorted([(k, v.s) for k, v in self.timers.items()], key=lambda item: -item[1]))
class Log: class Log:
@@ -198,25 +200,35 @@ class Log:
"""Log an error message.""" """Log an error message."""
self.log('E', message) self.log('E', message)
def progress(self):
class Progress:
def __init__(self, l): self.l = l
def __enter__(self):
self.start_time = time.perf_counter()
self.lastlog_time = self.start_time
self.log_interval = 5
return self
def update(self, completion: float, msg: str = ''):
assert completion > 0 and completion <= 1
current_time = time.perf_counter()
if current_time > self.lastlog_time + self.log_interval:
elapsed_time = current_time - self.start_time
total_time = elapsed_time / completion
rem_time = total_time - elapsed_time
self.l.log(':', f'{msg} - {completion*100:.0f}% done {hr_time(elapsed_time)} elapsed {hr_time(rem_time)} remaining')
self.log_interval = min(600, int(self.log_interval*1.5))
self.lastlog_time = current_time
def __exit__(self, *args): pass
return Progress(self)
def range(self, *args): def range(self, *args):
"""A generator that operates just like the ``range()`` built-in, and also occasionally logs the progress """A generator that operates just like the ``range()`` built-in, and also occasionally logs the progress
and compute time estimates.""" and compute time estimates."""
elems = len(range(*args)) elems = len(range(*args))
start_time = time.perf_counter() with self.progress() as p:
lastlog_time = start_time for elem, i in enumerate(range(*args)):
log_interval = 5 yield i
for elem, i in enumerate(range(*args)): p.update((elem + 1) / elems)
yield i
current_time = time.perf_counter()
if current_time > lastlog_time + log_interval:
done = (elem + 1) / elems
elapsed_time = current_time - start_time
total_time = elapsed_time / done
rem_time = total_time - elapsed_time
self.log(
':', f'{done*100:.0f}% done {hr_time(elapsed_time)} elapsed {hr_time(rem_time)} remaining')
log_interval = min(600, int(log_interval*1.5))
lastlog_time = current_time
log = Log() log = Log()
+64
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@@ -0,0 +1,64 @@
"""A parser and dumper for Atalanta's plain-text test pattern format (*.test).
A *.test file contains one test pattern per line in the form ``<index>: <bits>``,
where ``<bits>`` is a string of ``'0'`` and ``'1'`` characters giving the values of
the primary inputs (in circuit order). Lines starting with ``'*'`` are comments.
This parser also accepts files without ``<index>:`` and patterns elements in 8-valued
logic such as ``'R'``, ``'F'``, ``'X'``.
"""
import re
import numpy as np
from . import readtext, logic
from .circuit import Circuit
_pattern_re = re.compile(r'^\s*(?:\d+:\s*)?([01HLRFX-]+)\s*$')
class TestFile:
"""Intermediate representation of a *.test pattern file.
:param text: The contents of a *.test file.
"""
def __init__(self, text: str):
patterns = []
for line in text.splitlines():
if (m := _pattern_re.match(line)) is not None:
patterns.append(logic.mvarray(m.group(1)))
self.patterns = np.stack(patterns, axis=-1) if patterns \
else np.zeros((0, 0), dtype=np.uint8)
"""The parsed patterns as a mvarray (see :py:mod:`~kyupy.logic`).
The second-to-last axis goes along primary inputs, the last axis goes along patterns.
"""
def tests(self, circuit: Circuit):
"""Assembles and returns the test pattern set for the given circuit.
:param circuit: The circuit to assemble the patterns for. The patterns will follow the
:py:attr:`~kyupy.circuit.Circuit.io_nodes` ordering of the circuit.
:return: A logic array (see :py:mod:`~kyupy.logic`). The values for primary inputs are
filled, all other values are left unassigned.
"""
pi_locs = [i for i, n in enumerate(circuit.io_nodes) if len(n.ins) == 0]
tests = np.full((len(circuit.io_nodes), self.patterns.shape[-1]), logic.UNASSIGNED, dtype=np.uint8)
tests[pi_locs] = self.patterns
return tests
def parse(text) -> TestFile:
"""Parses the given ``text`` and returns a :class:`TestFile` object."""
return TestFile(text)
def load(file) -> TestFile:
"""Parses the contents of ``file`` and returns a :class:`TestFile` object.
Files with `.gz`-suffix are decompressed on-the-fly.
"""
return parse(readtext(file))
+24 -4
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@@ -14,7 +14,7 @@ Since simulators only support at most four-input-gates, gates with more than fou
from lark import Lark, Transformer from lark import Lark, Transformer
from .circuit import Circuit, Node, Line from .circuit import Circuit, Node, Line
from . import readtext, batchrange from . import readtext, batchrange, log
def treeify(l, max_degree=4): def treeify(l, max_degree=4):
if len(l) <= max_degree: return l if len(l) <= max_degree: return l
@@ -26,12 +26,32 @@ class BenchTransformer(Transformer):
def __init__(self, name): def __init__(self, name):
super().__init__() super().__init__()
self.c = Circuit(name) self.c = Circuit(name)
self.inputs = set()
self.outputs = set()
def start(self, _): return self.c def start(self, _): return self.c
def parameters(self, args): return [self.c.get_or_add_fork(str(name)) for name in args if name is not None] def parameters(self, args): return [self.c.get_or_add_fork(str(name)) for name in args if name is not None]
def interface(self, args): self.c.io_nodes.extend(args[0]) def input(self, args):
for input in args[0]:
if input in self.outputs:
new_input = self.c.get_or_add_fork(input.name + '~i')
Line(self.c, new_input, input)
log.warn(f'input-output passthrough, renaming input: {input.name} -> {new_input.name}')
input = new_input
self.inputs.add(input)
self.c.io_nodes.append(input)
def output(self, args):
for output in args[0]:
if output in self.inputs:
new_output = self.c.get_or_add_fork(output.name + '~o')
Line(self.c, output, new_output)
log.warn(f'input-output passthrough, renaming output: {output.name} -> {new_output.name}')
output = new_output
self.outputs.add(output)
self.c.io_nodes.append(output)
def _cell_tree_inner(self, name, kind, inner_kind, drivers): def _cell_tree_inner(self, name, kind, inner_kind, drivers):
cell = Node(self.c, name, f'{kind}{len(drivers)}') cell = Node(self.c, name, f'{kind}{len(drivers)}')
@@ -69,8 +89,8 @@ class BenchTransformer(Transformer):
GRAMMAR = r""" GRAMMAR = r"""
start: (statement)* start: (statement)*
statement: input | output | assignment statement: input | output | assignment
input: ("INPUT" | "input") parameters -> interface input: ("INPUT" | "input") parameters
output: ("OUTPUT" | "output") parameters -> interface output: ("OUTPUT" | "output") parameters
assignment: NAME "=" NAME parameters assignment: NAME "=" NAME parameters
parameters: "(" [ NAME ( "," NAME )* ] ")" parameters: "(" [ NAME ( "," NAME )* ] ")"
NAME: /[-_a-z0-9]+/i NAME: /[-_a-z0-9]+/i
+30 -33
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@@ -14,10 +14,10 @@ from __future__ import annotations
from collections import deque, defaultdict from collections import deque, defaultdict
import re import re
from typing import Union, Any
import numpy as np import numpy as np
from . import NestedNumericList, NestedStrIntDict
class GrowingList[T](list[T]): class GrowingList[T](list[T]):
def __setitem__(self, index, value): def __setitem__(self, index, value):
@@ -280,20 +280,19 @@ class Circuit:
Use the :class:`Node` constructor and :py:attr:`Node.remove()` to add and remove nodes. Use the :class:`Node` constructor and :py:attr:`Node.remove()` to add and remove nodes.
""" """
@property def s_nodes(self, tlib: 'TechLib') -> list: # type: ignore
def s_nodes(self):
"""A list of all primary I/Os as well as all flip-flops and latches in the circuit (in that order). """A list of all primary I/Os as well as all flip-flops and latches in the circuit (in that order).
The s_nodes list defines the order of all ports and all sequential elements in the circuit. The s_nodes list defines the order of all ports and all sequential elements in the circuit.
This list is constructed on-the-fly. If used in some inner toop, consider caching the list for better performance. This list is constructed on-the-fly. If used in some inner toop, consider caching the list for better performance.
""" """
return list(self.io_nodes) + [n for n in self.nodes if 'dff' in n.kind.lower()] + [n for n in self.nodes if 'latch' in n.kind.lower()] return list(self.io_nodes) + [n for n in self.nodes if tlib.is_dff(n.kind)] + [n for n in self.nodes if tlib.is_latch(n.kind)]
def io_locs(self, prefix): def io_locs(self, prefix):
"""Returns the indices of primary I/Os that start with given name prefix. """Returns a list of indices of primary I/Os that start with given name prefix.
The returned values are used to index into the :py:attr:`io_nodes` array. The returned values are used to index into the :py:attr:`io_nodes` array.
If only one I/O cell matches the given prefix, a single integer is returned. If only one I/O cell matches the given prefix, a list with a single integer is returned.
If a bus matches the given prefix, a sorted list of indices is returned. If a bus matches the given prefix, a sorted list of indices is returned.
Busses are identified by integers in the cell names following the given prefix. Busses are identified by integers in the cell names following the given prefix.
Lists for bus indices are sorted from LSB (e.g. :code:`data[0]`) to MSB (e.g. :code:`data[31]`). Lists for bus indices are sorted from LSB (e.g. :code:`data[0]`) to MSB (e.g. :code:`data[31]`).
@@ -303,16 +302,16 @@ class Circuit:
""" """
return self._locs(prefix, list(self.io_nodes)) return self._locs(prefix, list(self.io_nodes))
def s_locs(self, prefix): def s_locs(self, prefix, tlib: 'TechLib'): # type: ignore
"""Returns the indices of I/Os and sequential elements that start with given name prefix. """Returns the indices of I/Os and sequential elements that start with given name prefix.
The returned values are used to index into the :py:attr:`s_nodes` list. The returned values are used to index into the :py:attr:`s_nodes` list.
It works the same as :py:attr:`io_locs`. See there for more details. It works the same as :py:attr:`io_locs`. See there for more details.
""" """
return self._locs(prefix, self.s_nodes) return self._locs(prefix, self.s_nodes(tlib))
def _locs(self, prefix, nodes:list[Node]) -> Node|list[Any]: # can return list[list[...]] def _locs(self, prefix, nodes:list[Node]) -> NestedNumericList: # can return list[list[...]]
d_top = dict() d_top: NestedStrIntDict = dict()
for i, n in enumerate(nodes): for i, n in enumerate(nodes):
if m := re.match(fr'({re.escape(prefix)}.*?)((?:[\d_\[\]])*$)', n.name): if m := re.match(fr'({re.escape(prefix)}.*?)((?:[\d_\[\]])*$)', n.name):
path = [m[1]] + [int(v) for v in re.split(r'[_\[\]]+', m[2]) if len(v) > 0] path = [m[1]] + [int(v) for v in re.split(r'[_\[\]]+', m[2]) if len(v) > 0]
@@ -320,16 +319,16 @@ class Circuit:
for j in path[:-1]: for j in path[:-1]:
d[j] = d.get(j, dict()) d[j] = d.get(j, dict())
d = d[j] d = d[j]
assert isinstance(d, dict)
d[path[-1]] = i d[path[-1]] = i
# sort recursively for multi-dimensional lists. # sort recursively for multi-dimensional lists.
def sorted_values(d): return [sorted_values(v) for k, v in sorted(d.items())] if isinstance(d, dict) else d def sorted_values(d) -> NestedNumericList: return [sorted_values(v) for k, v in sorted(d.items())] if isinstance(d, dict) else d
l = sorted_values(d_top) l = sorted_values(d_top)
while isinstance(l, list) and len(l) == 1: l = l[0] while isinstance(l, list) and len(l) == 1 and isinstance(l[0], list): l = l[0]
return l #None if isinstance(l, list) and len(l) == 0 else l return l
@property def stats(self, tlib: 'TechLib'): # type: ignore
def stats(self):
"""A dictionary with the counts of all different elements in the circuit. """A dictionary with the counts of all different elements in the circuit.
The dictionary contains the number of all different kinds of nodes, the number The dictionary contains the number of all different kinds of nodes, the number
@@ -347,9 +346,9 @@ class Circuit:
stats['__line__'] = len(self.lines) stats['__line__'] = len(self.lines)
for n in self.cells.values(): for n in self.cells.values():
stats[n.kind] += 1 stats[n.kind] += 1
if 'dff' in n.kind.lower(): stats['__dff__'] += 1 if tlib.is_dff(n.kind): stats['__dff__'] += 1
elif 'latch' in n.kind.lower(): stats['__latch__'] += 1 elif tlib.is_latch(n.kind): stats['__latch__'] += 1
elif 'put' not in n.kind.lower(): stats['__comb__'] += 1 # no input or output elif 'put' not in n.kind.lower(): stats['__comb__'] += 1 # don't count input or output towards comb
stats['__seq__'] = stats['__dff__'] + stats['__latch__'] stats['__seq__'] = stats['__dff__'] + stats['__latch__']
return dict(stats) return dict(stats)
@@ -581,24 +580,23 @@ class Circuit:
if line is not None: if line is not None:
yield line yield line
def reversed_topological_order(self): def reversed_topological_order(self, tlib: 'TechLib'): # type: ignore
"""Generator function to iterate over all nodes in reversed topological order. """Generator function to iterate over all nodes in reversed topological order.
Nodes without output lines and nodes whose :py:attr:`Node.kind` contains the Nodes without output lines and sequential nodes (flip-flops, latches) are yielded first.
substrings 'dff' or 'latch' are yielded first.
""" """
visit_count = [0] * len(self.nodes) visit_count = [0] * len(self.nodes)
queue = deque(n for n in self.nodes if len(n.outs) == 0 or 'dff' in n.kind.lower() or 'latch' in n.kind.lower()) queue = deque(n for n in self.nodes if len(n.outs) == 0 or tlib.is_dff(n.kind) or tlib.is_latch(n.kind))
while len(queue) > 0: while len(queue) > 0:
n = queue.popleft() n = queue.popleft()
for line in n.ins: for line in n.ins:
pred = line.driver pred = line.driver
visit_count[pred] += 1 visit_count[pred] += 1
if visit_count[pred] == len(pred.outs) and 'dff' not in pred.kind.lower() and 'latch' not in pred.kind.lower(): if visit_count[pred] == len(pred.outs) and not tlib.is_dff(pred.kind) and not tlib.is_latch(pred.kind):
queue.append(pred) queue.append(pred)
yield n yield n
def fanin(self, origin_nodes): def fanin(self, origin_nodes, tlib: 'TechLib'): # type: ignore
"""Generator function to iterate over the fan-in cone of a given list of origin nodes. """Generator function to iterate over the fan-in cone of a given list of origin nodes.
Nodes are yielded in reversed topological order. Nodes are yielded in reversed topological order.
@@ -606,11 +604,10 @@ class Circuit:
marks = [False] * len(self.nodes) marks = [False] * len(self.nodes)
for n in origin_nodes: for n in origin_nodes:
marks[n] = True marks[n] = True
for n in self.reversed_topological_order(): for n in self.reversed_topological_order(tlib):
if not marks[n]: if not marks[n]:
for line in n.outs: for line in n.outs.without_nones():
if line is not None: marks[n] |= marks[line.reader]
marks[n] |= marks[line.reader]
if marks[n]: if marks[n]:
yield n yield n
@@ -633,8 +630,8 @@ class Circuit:
queue.append(succ) queue.append(succ)
yield n yield n
def fanout_free_regions(self): def fanout_free_regions(self, tlib: 'TechLib'): # type: ignore
for stem in self.reversed_topological_order(): for stem in self.reversed_topological_order(tlib):
if len(stem.outs) == 1 and 'dff' not in stem.kind.lower(): continue if len(stem.outs) == 1 and 'dff' not in stem.kind.lower(): continue
region = [] region = []
if 'dff' in stem.kind.lower(): if 'dff' in stem.kind.lower():
@@ -654,11 +651,11 @@ class Circuit:
region.append(n) region.append(n)
yield stem, region yield stem, region
def dot(self, format='svg', graph_attr={}, line_labels={}): def dot(self, tlib: 'TechLib', format='svg', graph_attr={}, line_labels={}):
from graphviz import Digraph from graphviz import Digraph
dot = Digraph(format=format, graph_attr={'rankdir': 'LR', 'splines': 'true', 'size': '10', 'ranksep': '0.1'} | graph_attr) dot = Digraph(format=format, graph_attr={'rankdir': 'LR', 'splines': 'true', 'size': '10', 'ranksep': '0.1'} | graph_attr)
s_dict = dict((n, i) for i, n in enumerate(self.s_nodes)) s_dict = dict((n, i) for i, n in enumerate(self.s_nodes(tlib)))
node_level = np.zeros(len(self.nodes), dtype=np.uint32) node_level = np.zeros(len(self.nodes), dtype=np.uint32)
level_nodes = defaultdict(list) level_nodes = defaultdict(list)
for n, lv in self.topological_order_with_level(): for n, lv in self.topological_order_with_level():
@@ -681,7 +678,7 @@ class Circuit:
reader = f'{l.reader.index}:i{l.reader_pin}' if len(l.reader.ins)>1 else f'{l.reader.index}' reader = f'{l.reader.index}:i{l.reader_pin}' if len(l.reader.ins)>1 else f'{l.reader.index}'
label = str(line_labels.get(l, l.index)) label = str(line_labels.get(l, l.index))
if node_level[l.driver] == node_level[l.reader]: if node_level[l.driver] == node_level[l.reader]:
s.node(f'_{l.index}_') dot.node(f'_{l.index}_')
dot.edge(driver, f'_{l.index}_', style='dotted', label=label) dot.edge(driver, f'_{l.index}_', style='dotted', label=label)
dot.edge(f'_{l.index}_', reader, style='dotted', label=label) dot.edge(f'_{l.index}_', reader, style='dotted', label=label)
elif node_level[l.driver] > node_level[l.reader]: elif node_level[l.driver] > node_level[l.reader]:
+19 -10
View File
@@ -6,7 +6,7 @@ as an intermediate representation (:class:`DefFile` object).
from collections import defaultdict from collections import defaultdict
from lark import Lark, Transformer, Tree from lark import Lark, Transformer
from kyupy import readtext from kyupy import readtext
@@ -85,6 +85,8 @@ class DefFile:
self.pins = {} self.pins = {}
self.specialnets = {} self.specialnets = {}
self.nets = {} self.nets = {}
self.design = ""
self.diearea = 0
class DefTransformer(Transformer): class DefTransformer(Transformer):
@@ -140,9 +142,11 @@ class DefTransformer(Transformer):
def comp_stmt(self, args): def comp_stmt(self, args):
name = args[0].value name = args[0].value
kind = args[1].value kind = args[1].value
point = args[2] for aidx in range(2, len(args)):
orientation = args[3].value if args[aidx] in ('PLACED', 'FIXED'):
self.def_file.components[name] = (kind, point, orientation) point = args[aidx+1]
orientation = args[aidx+2].value
self.def_file.components[name] = (kind, point, orientation)
def pins_stmt(self, args): def pins_stmt(self, args):
pin = DefPin(args[0].value) pin = DefPin(args[0].value)
@@ -207,6 +211,7 @@ GRAMMAR = r"""
| /DIEAREA/ point+ ";" | /DIEAREA/ point+ ";"
| /ROW/ ID ID NUMBER NUMBER ID do_step ";" | /ROW/ ID ID NUMBER NUMBER ID do_step ";"
| /TRACKS/ /[XY]/ NUMBER "DO" NUMBER "STEP" NUMBER "LAYER" ID ";" | /TRACKS/ /[XY]/ NUMBER "DO" NUMBER "STEP" NUMBER "LAYER" ID ";"
| /GCELLGRID/ /[XY]/ NUMBER "DO" NUMBER "STEP" NUMBER ";"
| propdef | vias | nondef | comp | pins | pinprop | spnets | nets | propdef | vias | nondef | comp | pins | pinprop | spnets | nets
propdef: "PROPERTYDEFINITIONS" propdef_stmt* "END" "PROPERTYDEFINITIONS" propdef: "PROPERTYDEFINITIONS" propdef_stmt* "END" "PROPERTYDEFINITIONS"
@@ -228,7 +233,9 @@ GRAMMAR = r"""
| "+" /VIA/ ID )* ";" | "+" /VIA/ ID )* ";"
comp: "COMPONENTS" NUMBER ";" comp_stmt* "END" "COMPONENTS" comp: "COMPONENTS" NUMBER ";" comp_stmt* "END" "COMPONENTS"
comp_stmt: "-" ID ID "+" "PLACED" point ID ";" comp_stmt: "-" ID ID ( "+" /PLACED/ point ID
| "+" /FIXED/ point ID
| "+" /SOURCE/ ID )* ";"
pins: "PINS" NUMBER ";" pins_stmt* "END" "PINS" pins: "PINS" NUMBER ";" pins_stmt* "END" "PINS"
pins_stmt: "-" ID pins_opt* ";" pins_stmt: "-" ID pins_opt* ";"
@@ -239,6 +246,8 @@ GRAMMAR = r"""
| "+" /PORT/ | "+" /PORT/
| "+" /LAYER/ ID point point | "+" /LAYER/ ID point point
| "+" /PLACED/ point ID | "+" /PLACED/ point ID
| "+" /FIXED/ point ID
pinprop: "PINPROPERTIES" NUMBER ";" pinprop_stmt* "END" "PINPROPERTIES" pinprop: "PINPROPERTIES" NUMBER ";" pinprop_stmt* "END" "PINPROPERTIES"
pinprop_stmt: "-" "PIN" ID "+" "PROPERTY" ID STRING ";" pinprop_stmt: "-" "PIN" ID "+" "PROPERTY" ID STRING ";"
@@ -266,10 +275,10 @@ GRAMMAR = r"""
wire: ID wire_opt points wire: ID wire_opt points
wire_opt: ( "TAPER" | "TAPERRULE" ID )? ("STYLE" ID)? wire_opt: ( "TAPER" | "TAPERRULE" ID )? ("STYLE" ID)?
points: point ( point | points_via )+ points: point ( point | points_via_or_rect )+
points_via: ID ORIENTATION? points_via_or_rect: ID ( ORIENTATION? | "(" (NUMBER|SIGNED_NUMBER|/\*/) (NUMBER|SIGNED_NUMBER|/\*/) (NUMBER|SIGNED_NUMBER|/\*/) (NUMBER|SIGNED_NUMBER|/\*/) ")" )
point: "(" (NUMBER|/\*/) (NUMBER|/\*/) NUMBER? ")" point: "(" (NUMBER|SIGNED_NUMBER|/\*/) (NUMBER|SIGNED_NUMBER|/\*/) NUMBER? ")"
do_step: "DO" NUMBER "BY" NUMBER "STEP" (NUMBER|SIGNED_NUMBER) (NUMBER|SIGNED_NUMBER) do_step: "DO" NUMBER "BY" NUMBER "STEP" (NUMBER|SIGNED_NUMBER) (NUMBER|SIGNED_NUMBER)
@@ -284,9 +293,9 @@ GRAMMAR = r"""
""" """
def parse(text): def parse(text) -> DefFile:
"""Parses the given ``text`` and returns a :class:`DefFile` object.""" """Parses the given ``text`` and returns a :class:`DefFile` object."""
return Lark(GRAMMAR, parser="lalr", transformer=DefTransformer()).parse(text) return Lark(GRAMMAR, parser="lalr", transformer=DefTransformer()).parse(text) # type: ignore
def load(file): def load(file):
+6 -5
View File
@@ -49,7 +49,7 @@ from collections.abc import Iterable
import numpy as np import numpy as np
from numpy.typing import DTypeLike from numpy.typing import DTypeLike
from . import numba, hr_bytes from . import numba, hr_bytes, NestedNumericList
ZERO = 0b000 ZERO = 0b000
@@ -104,7 +104,7 @@ _mv_merge = np.array([[0,0,0,1,1,1,1,1], # 0
], dtype=np.uint8) ], dtype=np.uint8)
def interpret(value): def interpret(value) -> int|NestedNumericList:
"""Converts characters, strings, and lists of them to lists of logic constants defined above. """Converts characters, strings, and lists of them to lists of logic constants defined above.
:param value: A character (string of length 1), Boolean, Integer, None, or Iterable. :param value: A character (string of length 1), Boolean, Integer, None, or Iterable.
@@ -123,11 +123,12 @@ def interpret(value):
return UNKNOWN return UNKNOWN
def mvarray(*a): def mvarray(*a) -> np.ndarray[tuple[int]|tuple[int,int],np.dtype[np.uint8]]:
"""Converts (lists of) Boolean values or strings into a multi-valued array. """Converts (lists of) Boolean values or strings into a multi-valued array.
The given values are interpreted and the axes are arranged as per KyuPy's convention. Iterable over characters, Booleans, Integers (0,1), None are interpreted as a single pattern.
Use this function to convert strings into multi-valued arrays. Multi-character strings are Iterables over characters and are interpreted as a single pattern.
Lists of said patterns form a pattern set as ndarray with the axes are arranged as per KyuPy's convention.
""" """
mva = np.array(interpret(a), dtype=np.uint8) mva = np.array(interpret(a), dtype=np.uint8)
if mva.ndim < 2: return mva if mva.ndim < 2: return mva
+48 -12
View File
@@ -1,12 +1,24 @@
"""A high-throughput combinational logic simulator. """High-throughput combinational logic simulators.
The class :py:class:`~kyupy.logic_sim.LogicSim` performs parallel simulations of the combinational part of a circuit. These simulators take batches of input assignments to a logic circuit and compute batches of output values.
The logic operations are performed bit-parallel on packed numpy arrays (see bit-parallel (bp) array description in :py:mod:`~kyupy.logic`). Each batch is simulated in data-parallel fashion using packed numpy arrays (see bit-parallel (bp) array description in :py:mod:`~kyupy.logic`) for each signal in the circuit.
Simple sequential circuits can be simulated by repeated assignments and propagations. All simulations within a batch are mutually independent.
However, this simulator ignores the clock network and simply assumes that all state-elements are clocked all the time. Inner simulation loops (that iterate over the topologically sorted circuit model) are just-in-time (JIT) compiled using numba.
JIT compiling triggered by the first simulation may take several seconds.
If numba is not available, inner loop is executed in the python interpreter and is significantly slower.
Circuits passed to these simulators must contain only cells defined in the :py:class:`~kyupy.techlib.KYUPY` cell library.
Other circuits must be mapped to that library first using :py:method:`~kyupy.circuit.resolve_tlib_cells()`.
Sequential circuits are supported with some caveats.
The simulation model is built by stripping out all flip-flops, clock, and asynchronous set/reset logic.
Values stored in the flip-flops become part of the input assignments and output values (pseudo-primary I/O).
Only the combinational portion is actually simulated.
Simulation results remain correct under the assumption that all flip-clops are clocked all the time and set/reset logic is passive.
""" """
import math import math
import warnings
import numpy as np import numpy as np
@@ -17,6 +29,10 @@ from .circuit import Circuit, Line
class LogicSim(sim.SimOps): class LogicSim(sim.SimOps):
"""A bit-parallel naïve combinational simulator for 2-, 4-, or 8-valued logic. """A bit-parallel naïve combinational simulator for 2-, 4-, or 8-valued logic.
.. deprecated::
Use the specialized :py:class:`LogicSim2V`, :py:class:`LogicSim4V`, or :py:class:`LogicSim6V`
simulators instead.
:param circuit: The circuit to simulate. :param circuit: The circuit to simulate.
:param sims: The number of parallel logic simulations to perform. :param sims: The number of parallel logic simulations to perform.
:param m: The arity of the logic, must be 2, 4, or 8. :param m: The arity of the logic, must be 2, 4, or 8.
@@ -24,6 +40,9 @@ class LogicSim(sim.SimOps):
:param strip_forks: If True, forks are not included in the simulation model to save memory and simulation time. :param strip_forks: If True, forks are not included in the simulation model to save memory and simulation time.
""" """
def __init__(self, circuit: Circuit, sims: int = 8, m: int = 8, c_reuse: bool = False, strip_forks: bool = False): def __init__(self, circuit: Circuit, sims: int = 8, m: int = 8, c_reuse: bool = False, strip_forks: bool = False):
warnings.warn(
'LogicSim is deprecated; use LogicSim2V, LogicSim4V, or LogicSim6V instead.',
DeprecationWarning, stacklevel=2)
assert m in [2, 4, 8] assert m in [2, 4, 8]
super().__init__(circuit, c_reuse=c_reuse, strip_forks=strip_forks) super().__init__(circuit, c_reuse=c_reuse, strip_forks=strip_forks)
self.m = m self.m = m
@@ -32,6 +51,7 @@ class LogicSim(sim.SimOps):
nbytes = cdiv(sims, 8) nbytes = cdiv(sims, 8)
self.c = np.zeros((self.c_len, self.mdim, nbytes), dtype=np.uint8) self.c = np.zeros((self.c_len, self.mdim, nbytes), dtype=np.uint8)
self.c_dirty = np.full(self.c_len, 1, dtype=np.uint8)
self.s = np.zeros((2, self.s_len, 3, nbytes), dtype=np.uint8) self.s = np.zeros((2, self.s_len, 3, nbytes), dtype=np.uint8)
"""Logic values of the sequential elements (flip-flops) and ports. """Logic values of the sequential elements (flip-flops) and ports.
@@ -78,7 +98,7 @@ class LogicSim(sim.SimOps):
t1 = self.c_locs[self.tmp2_idx] t1 = self.c_locs[self.tmp2_idx]
if self.m == 2: if self.m == 2:
if inject_cb is None: if inject_cb is None:
c_prop_2v_cpu(self.ops, self.c_locs, self.c, int(fault_line), fault_mask, int(fault_model)) c_prop_2v_cpu(self.ops, self.c_locs, self.c, self.c_dirty, int(fault_line), fault_mask, int(fault_model))
else: else:
for op, o0l, i0l, i1l, i2l, i3l in self.ops[:,:6]: for op, o0l, i0l, i1l, i2l, i3l in self.ops[:,:6]:
o0, i0, i1, i2, i3 = [self.c_locs[x] for x in (o0l, i0l, i1l, i2l, i3l)] o0, i0, i1, i2, i3 = [self.c_locs[x] for x in (o0l, i0l, i1l, i2l, i3l)]
@@ -337,6 +357,19 @@ class LogicSim2V(sim.SimOps):
Storage locations are indirectly addressed. Storage locations are indirectly addressed.
Data for line `l` is in `self.c[self.c_locs[l]]`. Data for line `l` is in `self.c[self.c_locs[l]]`.
""" """
self.c_dirty = np.full(self.c_len, 1, dtype=np.uint8)
"""Marker for logic values that have changed recently for use in incremental simulation.
A node n will be evaluated by `c_prop()` if and only if at least one of its inputs is marked dirty (`c_dirty[c_locs[n.ins[i]]] == 1`).
If a node is evaluated, its output is marked dirty.
By default, this array is all-1, therefore every node is evaluated every time by `c_prop()`.
Enable incremental simulation by setting this array to all-0, change signal values in `c` and set `c_dirty` to 1 for all changed signals.
Next call to `c_prop()` will only evaluate nodes that read from the changed signals.
To restore the original simulation state, revert the signal value changes in `c`, and call `c_prop()` again.
Caveats:
- Injected changes that are located downstream of other changes will have no effect.
- Only works with `c_reuse=False` (default).
"""
self.s_assign = np.zeros((self.s_len, self.sims), dtype=np.uint8) self.s_assign = np.zeros((self.s_len, self.sims), dtype=np.uint8)
"""Logic values assigned to the ports and flip-flops of the circuit. """Logic values assigned to the ports and flip-flops of the circuit.
@@ -371,7 +404,7 @@ class LogicSim2V(sim.SimOps):
fault_mask2 = np.full(self.c.shape[-1], 0, dtype=np.uint8) fault_mask2 = np.full(self.c.shape[-1], 0, dtype=np.uint8)
fault_mask2[:len(fault_mask)] = fault_mask fault_mask2[:len(fault_mask)] = fault_mask
fault_mask = fault_mask2 fault_mask = fault_mask2
c_prop_2v_cpu(self.ops, self.c_locs, self.c, int(fault_line), fault_mask, int(fault_model)) c_prop_2v_cpu(self.ops, self.c_locs, self.c, self.c_dirty, int(fault_line), fault_mask, int(fault_model))
def c_to_s(self): def c_to_s(self):
"""Captures the results of the combinational portion into ``self.s_result``. """Captures the results of the combinational portion into ``self.s_result``.
@@ -405,9 +438,11 @@ class LogicSim2V(sim.SimOps):
@numba.njit @numba.njit
def c_prop_2v_cpu(ops, c_locs, c, fault_line, fault_mask, fault_model): def c_prop_2v_cpu(ops, c_locs, c, c_dirty, fault_line, fault_mask, fault_model):
for op, o0l, i0l, i1l, i2l, i3l in ops[:,:6]: for op, o0l, i0l, i1l, i2l, i3l in ops[:,:6]:
o0, i0, i1, i2, i3 = [c_locs[x] for x in (o0l, i0l, i1l, i2l, i3l)] o0, i0, i1, i2, i3 = [c_locs[x] for x in (o0l, i0l, i1l, i2l, i3l)]
if fault_line < 0 or o0l != fault_line: # fault injection forces node evaluation
if not (c_dirty[i0] | c_dirty[i1] | c_dirty[i2] | c_dirty[i3]): continue
if op == sim.BUF1: c[o0]=c[i0] if op == sim.BUF1: c[o0]=c[i0]
elif op == sim.INV1: c[o0] = ~c[i0] elif op == sim.INV1: c[o0] = ~c[i0]
elif op == sim.AND2: c[o0] = c[i0] & c[i1] elif op == sim.AND2: c[o0] = c[i0] & c[i1]
@@ -447,8 +482,9 @@ def c_prop_2v_cpu(ops, c_locs, c, fault_line, fault_mask, fault_model):
c[o0] = c[o0] & ~fault_mask c[o0] = c[o0] & ~fault_mask
elif fault_model == 1: elif fault_model == 1:
c[o0] = c[o0] | fault_mask c[o0] = c[o0] | fault_mask
else: elif fault_model == 2:
c[o0] = c[o0] ^ fault_mask c[o0] = c[o0] ^ fault_mask
c_dirty[o0] = 1
class LogicSim4V(sim.SimOps): class LogicSim4V(sim.SimOps):
@@ -473,7 +509,7 @@ class LogicSim4V(sim.SimOps):
Storage locations are indirectly addressed. Storage locations are indirectly addressed.
Data for line `l` is in `self.c[self.c_locs[l]]`. Data for line `l` is in `self.c[self.c_locs[l]]`.
""" """
self.s_assign = np.zeros((self.s_len, self.sims), dtype=np.uint8) self.s_assign = np.full((self.s_len, self.sims), logic.UNASSIGNED, dtype=np.uint8)
"""Logic values assigned to the ports and flip-flops of the circuit. """Logic values assigned to the ports and flip-flops of the circuit.
The simulator reads (P)PI values from here. The simulator reads (P)PI values from here.
Values assigned to PO positions are ignored. Values assigned to PO positions are ignored.
@@ -481,7 +517,7 @@ class LogicSim4V(sim.SimOps):
First index is the port position (defined by `self.circuit.s_nodes`), second First index is the port position (defined by `self.circuit.s_nodes`), second
index is the pattern index (0 ... `self.sims-1`). index is the pattern index (0 ... `self.sims-1`).
""" """
self.s_result = np.zeros((self.s_len, self.sims), dtype=np.uint8) self.s_result = np.full((self.s_len, self.sims), logic.UNASSIGNED, dtype=np.uint8)
"""Logic values at the ports and flip-flops of the circuit after simulation. """Logic values at the ports and flip-flops of the circuit after simulation.
The simulator writes (P)PO values here. The simulator writes (P)PO values here.
Values assigned to PI positions are ignored. Values assigned to PI positions are ignored.
@@ -739,7 +775,7 @@ class LogicSim6V(sim.SimOps):
nbytes = cdiv(sims, 8) nbytes = cdiv(sims, 8)
self.c = np.zeros((self.c_len, 3, nbytes), dtype=np.uint8) self.c = np.zeros((self.c_len, 3, nbytes), dtype=np.uint8)
self.s = np.zeros((2, self.s_len, self.sims), dtype=np.uint8) self.s = np.full((2, self.s_len, self.sims), logic.UNASSIGNED, dtype=np.uint8)
"""Logic values of the sequential elements (flip-flops) and ports. """Logic values of the sequential elements (flip-flops) and ports.
It is a pair of arrays in mv storage format: It is a pair of arrays in mv storage format:
+9 -4
View File
@@ -59,7 +59,7 @@ class DelayFile:
if name not in circuit.cells: name = name.replace('[', '_').replace(']', '_') if name not in circuit.cells: name = name.replace('[', '_').replace(']', '_')
return circuit.cells.get(name, None) return circuit.cells.get(name, None)
delays = np.zeros((len(circuit.lines), 2, 2, 3)) # dataset last during construction. delays = np.zeros((len(circuit.lines), 2, 2, 3), dtype=np.float32) # dataset last during construction.
with log.limit(50): with log.limit(50):
for name, iopaths in self.cells.items(): for name, iopaths in self.cells.items():
@@ -101,14 +101,19 @@ class DelayFile:
* Axis 3: polarity of the transition, 0='rising/posedge', 1='falling/negedge' * Axis 3: polarity of the transition, 0='rising/posedge', 1='falling/negedge'
""" """
delays = np.zeros((len(circuit.lines), 2, 2, 3)) # dataset last during construction. delays = np.zeros((len(circuit.lines), 2, 2, 3), dtype=np.float32) # dataset last during construction.
def split_node_port(n_str):
if (split := n_str.rfind('.')) > 0 or (split := n_str.rfind('/')) > 0:
return n_str[:split], n_str[split+1:]
return (n_str, None)
nonfork_annotations = 0 nonfork_annotations = 0
for n1, n2, *delvals in self._interconnects: for n1, n2, *delvals in self._interconnects:
delvals = [d if len(d) > 0 else [0, 0, 0] for d in delvals] delvals = [d if len(d) > 0 else [0, 0, 0] for d in delvals]
if max(max(delvals)) == 0: continue if max(max(delvals)) == 0: continue
cn1, pn1 = (n1, None) if (slash := n1.rfind('/')) < 0 else (n1[:slash], n1[slash+1:]) cn1, pn1 = split_node_port(n1)
cn2, pn2 = (n2, None) if (slash := n2.rfind('/')) < 0 else (n2[:slash], n2[slash+1:]) cn2, pn2 = split_node_port(n2)
cn1 = cn1.replace('\\','') cn1 = cn1.replace('\\','')
cn2 = cn2.replace('\\','') cn2 = cn2.replace('\\','')
c1, c2 = circuit.cells[cn1], circuit.cells[cn2] c1, c2 = circuit.cells[cn1], circuit.cells[cn2]
+31 -14
View File
@@ -6,6 +6,7 @@ import numpy as np
from . import log from . import log
from .circuit import Circuit from .circuit import Circuit
from .techlib import KYUPY
BUF1 = np.uint16(0b1010_1010_1010_1010) BUF1 = np.uint16(0b1010_1010_1010_1010)
INV1 = ~BUF1 INV1 = ~BUF1
@@ -159,7 +160,7 @@ class SimOps:
"""A static scheduler that translates a Circuit into a topologically sorted list of basic logic operations (self.ops) and """A static scheduler that translates a Circuit into a topologically sorted list of basic logic operations (self.ops) and
a memory mapping (self.c_locs, self.c_caps) for use in simulators. a memory mapping (self.c_locs, self.c_caps) for use in simulators.
:param circuit: The circuit to create a schedule for. :param circuit: The circuit to create a schedule for. Must contain cells from KYUPY techlib only.
:param strip_forks: If enabled, the scheduler will not include fork nodes to safe simulation time. :param strip_forks: If enabled, the scheduler will not include fork nodes to safe simulation time.
Stripping forks will cause interconnect delay annotations of lines read by fork nodes to be ignored. Stripping forks will cause interconnect delay annotations of lines read by fork nodes to be ignored.
:param c_reuse: If enabled, memory of intermediate signal waveforms will be re-used. This greatly reduces :param c_reuse: If enabled, memory of intermediate signal waveforms will be re-used. This greatly reduces
@@ -167,7 +168,7 @@ class SimOps:
""" """
def __init__(self, circuit: Circuit, c_caps=1, c_caps_min=1, a_ctrl=None, c_reuse=False, strip_forks=False): def __init__(self, circuit: Circuit, c_caps=1, c_caps_min=1, a_ctrl=None, c_reuse=False, strip_forks=False):
self.circuit = circuit self.circuit = circuit
self.s_len = len(circuit.s_nodes) self.s_len = len(circuit.s_nodes(KYUPY))
if isinstance(c_caps, int): if isinstance(c_caps, int):
c_caps = [c_caps] * (len(circuit.lines)+3) c_caps = [c_caps] * (len(circuit.lines)+3)
@@ -187,11 +188,11 @@ class SimOps:
# ALAP-toposort the circuit into self.ops # ALAP-toposort the circuit into self.ops
levels = [] levels = []
ppio2idx = dict((n, i) for i, n in enumerate(circuit.s_nodes)) ppio2idx = dict((n, i) for i, n in enumerate(circuit.s_nodes(KYUPY)))
root_nodes = set([n for n in circuit.s_nodes if len(n.ins) > 0] + [n for n in circuit.nodes if len(n.outs) == 0]) # start from POs, PPOs, and any dangling nodes root_nodes = set([n for n in circuit.nodes if len(n.outs) == 0 or KYUPY.is_dff(n.kind)]) # start from POs (that are unused by circuit itself), PPOs, and any dangling nodes
readers = np.array([1 if l.reader in root_nodes else len(l.reader.outs) for l in circuit.lines], dtype=np.int32) # for ref-counting forks readers = np.array([1 if l.reader in root_nodes else len(l.reader.outs) for l in circuit.lines], dtype=np.int32) # for ref-counting forks
level_lines = [n.ins[0] for n in root_nodes if len(n.ins) > 0 ] level_lines = [n.ins[0] for n in sorted(root_nodes, key=lambda n: n.index) if len(n.ins) > 0 ]
# FIXME: Should probably instanciate buffers for PPOs and attach DFF clocks # FIXME: Should probably instanciate buffers for PPOs and attach DFF clocks
while len(level_lines) > 0: # traverse the circuit level-wise back towards (P)PIs while len(level_lines) > 0: # traverse the circuit level-wise back towards (P)PIs
@@ -200,11 +201,15 @@ class SimOps:
for l in level_lines: for l in level_lines:
n = l.driver n = l.driver
if len(n.ins) > 4: assert len(n.ins) <= 4, f'Too many input pins for node {n}. Map circuit to KYUPY techlib first using resolve_tlib_cells().'
log.warn(f'too many input pins: {n}')
in_idxs = [n.ins[x].index if len(n.ins) > x and n.ins[x] is not None else self.zero_idx for x in [0,1,2,3]] in_idxs = [n.ins[x].index if len(n.ins) > x and n.ins[x] is not None else self.zero_idx for x in [0,1,2,3]]
if n in ppio2idx: if n in ppio2idx:
in_idxs[0] = self.ppi_offset + ppio2idx[n] in_idxs[1] = self.zero_idx
if 'dff' in n.kind.lower() or in_idxs[0] == self.zero_idx:
in_idxs[0] = self.ppi_offset + ppio2idx[n]
else: # this is a PO that is also used within the circuit. Treat as normal fork with ref counting. TODO: check strip_forks=True case for this.
readers[n.ins[0]] -= 1
if readers[n.ins[0]] == 0: prev_level_lines.append(n.ins[0])
if l.driver_pin == 1 and 'dff' in n.kind.lower(): # second output of DFF is inverted if l.driver_pin == 1 and 'dff' in n.kind.lower(): # second output of DFF is inverted
level_ops.append((INV1, l.index, *in_idxs, *a_ctrl[l])) level_ops.append((INV1, l.index, *in_idxs, *a_ctrl[l]))
else: else:
@@ -225,10 +230,8 @@ class SimOps:
if in_idxs[2] == self.zero_idx: if in_idxs[2] == self.zero_idx:
sp = prims[2] sp = prims[2]
break break
if sp is None: assert sp is not None, f'Unsupported node type {n}. Map circuit to KYUPY techlib first using resolce_tlib_cells().'
log.warn(f'ignored cell of unknown type: {n}') level_ops.append((sp, l.index, *in_idxs, *a_ctrl[l]))
else:
level_ops.append((sp, l.index, *in_idxs, *a_ctrl[l]))
if len(level_ops) > 0: levels.append(level_ops) if len(level_ops) > 0: levels.append(level_ops)
level_lines = prev_level_lines level_lines = prev_level_lines
@@ -271,7 +274,7 @@ class SimOps:
ref_count[self.tmp2_idx] += 1 ref_count[self.tmp2_idx] += 1
# allocate and keep memory for PI/PPI, keep memory for PO/PPO (allocated later) # allocate and keep memory for PI/PPI, keep memory for PO/PPO (allocated later)
for i, n in enumerate(circuit.s_nodes): for i, n in enumerate(circuit.s_nodes(KYUPY)):
if 'dff' in n.kind.lower() or len(n.ins) == 0: # PPI or PI if 'dff' in n.kind.lower() or len(n.ins) == 0: # PPI or PI
self.c_locs[self.ppi_offset + i], self.c_caps[self.ppi_offset + i] = h.alloc(c_caps_min), c_caps_min self.c_locs[self.ppi_offset + i], self.c_caps[self.ppi_offset + i] = h.alloc(c_caps_min), c_caps_min
ref_count[self.ppi_offset + i] += 1 ref_count[self.ppi_offset + i] += 1
@@ -310,10 +313,15 @@ class SimOps:
self.c_locs[lidx], self.c_caps[lidx] = self.c_locs[stem], self.c_caps[stem] self.c_locs[lidx], self.c_caps[lidx] = self.c_locs[stem], self.c_caps[stem]
# copy memory location to PO/PPO area # copy memory location to PO/PPO area
for i, n in enumerate(circuit.s_nodes): for i, n in enumerate(circuit.s_nodes(KYUPY)):
if len(n.ins) > 0: if len(n.ins) > 0:
self.c_locs[self.ppo_offset + i], self.c_caps[self.ppo_offset + i] = self.c_locs[n.ins[0]], self.c_caps[n.ins[0]] self.c_locs[self.ppo_offset + i], self.c_caps[self.ppo_offset + i] = self.c_locs[n.ins[0]], self.c_caps[n.ins[0]]
# sanity check
for oidx, io in zip(*np.nonzero(self.c_locs[self.ops[:, 1:6]] < 0)):
log.error(f'unallocated {["o0","i0","i1","i2","i3"][io]} in op {self.ops[oidx]}')
assert np.min(self.c_locs[self.ops[:, 1:6]]) >= 0, "Unallocated signal lines."
# line use information # line use information
self.line_use_start = np.full(self.c_locs_len, -1, dtype=np.int32) self.line_use_start = np.full(self.c_locs_len, -1, dtype=np.int32)
self.line_use_stop = np.full(self.c_locs_len, len(self.levels), dtype=np.int32) self.line_use_stop = np.full(self.c_locs_len, len(self.levels), dtype=np.int32)
@@ -348,3 +356,12 @@ class SimOps:
self.pippi_c_locs = np.concatenate([self.pi_c_locs, self.ppi_c_locs]) self.pippi_c_locs = np.concatenate([self.pi_c_locs, self.ppi_c_locs])
self.poppo_c_locs = np.concatenate([self.po_c_locs, self.ppo_c_locs]) self.poppo_c_locs = np.concatenate([self.po_c_locs, self.ppo_c_locs])
def cone_ops(self, origin_lines: set[int]):
active_lines = {l for l in origin_lines}
ops = []
for kind, out0, in0, in1, in2, in3, *params in self.ops:
if in0 in active_lines or in1 in active_lines or in2 in active_lines or in3 in active_lines or out0 in origin_lines:
ops.append((kind, out0, in0, in1, in2, in3, *params))
active_lines.add(out0)
return np.asarray(ops, dtype=np.int32)
+7 -5
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@@ -106,7 +106,7 @@ class StilFile:
tests[pi_map, i] = logic.mvarray(p.capture['_pi'][0]) tests[pi_map, i] = logic.mvarray(p.capture['_pi'][0])
return tests return tests
def tests_loc(self, circuit, init_filter=None, launch_filter=None): def tests_loc(self, circuit, tlib, init_filter=None, launch_filter=None):
"""Assembles and returns a LoC scan test pattern set for given circuit. """Assembles and returns a LoC scan test pattern set for given circuit.
This function assumes a launch-on-capture (LoC) delay test. This function assumes a launch-on-capture (LoC) delay test.
@@ -139,7 +139,9 @@ class StilFile:
init[scan_maps[si_port], i] = pattern init[scan_maps[si_port], i] = pattern
init[pi_map, i] = logic.mvarray(p.launch['_pi'][0] if '_pi' in p.launch else p.capture['_pi'][0]) init[pi_map, i] = logic.mvarray(p.launch['_pi'][0] if '_pi' in p.launch else p.capture['_pi'][0])
if init_filter: init = init_filter(init) if init_filter: init = init_filter(init)
sim8v = LogicSim(circuit, init.shape[-1], m=8) circuit_resolved = circuit.copy()
circuit_resolved.resolve_tlib_cells(tlib)
sim8v = LogicSim(circuit_resolved, init.shape[-1], m=8)
sim8v.s[0] = logic.mv_to_bp(init) sim8v.s[0] = logic.mv_to_bp(init)
sim8v.s_to_c() sim8v.s_to_c()
sim8v.c_prop() sim8v.c_prop()
@@ -263,12 +265,12 @@ GRAMMAR = r"""
""" """
def parse(text): def parse(text) -> StilFile:
"""Parses the given ``text`` and returns a :class:`StilFile` object.""" """Parses the given ``text`` and returns a :class:`StilFile` object."""
return Lark(GRAMMAR, parser="lalr", transformer=StilTransformer()).parse(text) return Lark(GRAMMAR, parser="lalr", transformer=StilTransformer()).parse(text) # type: ignore
def load(file): def load(file) -> StilFile:
"""Parses the contents of ``file`` and returns a :class:`StilFile` object. """Parses the contents of ``file`` and returns a :class:`StilFile` object.
Files with `.gz`-suffix are decompressed on-the-fly. Files with `.gz`-suffix are decompressed on-the-fly.
+29 -5
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@@ -10,7 +10,6 @@ from itertools import product
from . import bench from . import bench
class TechLib: class TechLib:
"""Class for standard cell library definitions. """Class for standard cell library definitions.
@@ -39,9 +38,11 @@ class TechLib:
else: else:
pin_dict[n.name] = (o_idx, True) pin_dict[n.name] = (o_idx, True)
o_idx += 1 o_idx += 1
has_dff = 'DFF' in set(n.kind for n in c.cells.values())
has_latch = 'LATCH' in set(n.kind for n in c.cells.values())
parts = [s[1:-1].split(',') if s[0] == '{' else [s] for s in re.split(r'({[^}]+})', c.name) if len(s) > 0] parts = [s[1:-1].split(',') if s[0] == '{' else [s] for s in re.split(r'({[^}]+})', c.name) if len(s) > 0]
for name in [''.join(item) for item in product(*parts)]: for name in [''.join(item) for item in product(*parts)]:
self.cells[name] = (c, pin_dict) self.cells[name] = (c, pin_dict, has_dff, has_latch)
def pin_index(self, kind, pin): def pin_index(self, kind, pin):
"""Returns a pin list position for a given node kind and pin name.""" """Returns a pin list position for a given node kind and pin name."""
@@ -49,19 +50,39 @@ class TechLib:
assert pin in self.cells[kind][1], f'Unknown pin: {pin} for cell {kind}' assert pin in self.cells[kind][1], f'Unknown pin: {pin} for cell {kind}'
return self.cells[kind][1][pin][0] return self.cells[kind][1][pin][0]
def pin_name(self, kind, pos, output=False): def pin_name(self, kind: str, pos: int, output=False) -> str:
"""Returns the pin name for a given node kind, list position, and direction.""" """Returns the pin name for a given node kind, list position, and direction."""
assert kind in self.cells, f'Unknown cell: {kind}' assert kind in self.cells, f'Unknown cell: {kind}'
for name, (ppos, isout) in self.cells[kind][1].items(): for name, (ppos, isout) in self.cells[kind][1].items():
if isout == output and ppos == pos: if isout == output and ppos == pos:
return name return name
return None raise ValueError(f'Invalid {"output" if output else "input"} pin position {pos} for cell: {kind}')
def pin_is_output(self, kind, pin): def pin_is_output(self, kind, pin):
"""Returns True, if given pin name of a node kind is an output.""" """Returns True, if given pin name of a node kind is an output."""
assert kind in self.cells, f'Unknown cell: {kind}' assert kind in self.cells, f'Unknown cell: {kind}'
assert pin in self.cells[kind][1], f'Unknown pin: {pin} for cell {kind}' assert pin in self.cells[kind][1], f'Unknown pin: {pin} for cell {kind}'
return self.cells[kind][1][pin][1] return self.cells[kind][1][pin][1]
def is_dff(self, kind):
"""Returns True, if given node kind is a d-flip-flop."""
if kind == '__fork__': return False
if kind == '__const0__': return False
if kind == '__const1__': return False
if kind == 'input': return False
if kind == 'output': return False
assert kind in self.cells, f'Unknown cell: {kind}'
return self.cells[kind][2]
def is_latch(self, kind):
"""Returns True, if given node kind is a latch."""
if kind == '__fork__': return False
if kind == '__const0__': return False
if kind == '__const1__': return False
if kind == 'input': return False
if kind == 'output': return False
assert kind in self.cells, f'Unknown cell: {kind}'
return self.cells[kind][3]
KYUPY = TechLib(r""" KYUPY = TechLib(r"""
@@ -99,6 +120,7 @@ AOI211 input(i0,i1,i2,i3) output(o) o=AOI211(i0,i1,i2,i3) ;
OAI211 input(i0,i1,i2,i3) output(o) o=OAI211(i0,i1,i2,i3) ; OAI211 input(i0,i1,i2,i3) output(o) o=OAI211(i0,i1,i2,i3) ;
MUX21 input(i0,i1,i2) output(o) o=MUX21(i0,i1,i2) ; MUX21 input(i0,i1,i2) output(o) o=MUX21(i0,i1,i2) ;
DFF input(D,CLK) output(Q) Q=DFF(D,CLK) ; DFF input(D,CLK) output(Q) Q=DFF(D,CLK) ;
LATCH input(D,CLK) output(Q) Q=LATCH(D,CLK) ;
""") """)
"""A synthetic library of all KyuPy simulation primitives. """A synthetic library of all KyuPy simulation primitives.
""" """
@@ -640,4 +662,6 @@ $lpflow_isobufsrckapwr_16 input(A,SLEEP) output(X) AI=INV1(A) X=OR2(AI,SL
$lpflow_inputisolatch_1 input(D,SLEEP_B) output(Q) Q=LATCH(D,SLEEP_B) ; $lpflow_inputisolatch_1 input(D,SLEEP_B) output(Q) Q=LATCH(D,SLEEP_B) ;
""".replace('$','sky130_fd_sc_hd__')) """.replace('$','sky130_fd_sc_hd__'))
"""SkyWater 130nm High Density Digital Standard Cells (skywater-pdk-libs-sky130_fd_sc_hd). """SkyWater 130nm High Density Digital Standard Cells (skywater-pdk-libs-sky130_fd_sc_hd).
""" """
techlib_by_name = {k: v for k, v in globals().items() if isinstance(v, TechLib)}
+29
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@@ -0,0 +1,29 @@
import numpy as np
from kyupy import atalanta, logic
def test_parse():
text = '\n'.join([
'* Test pattern file',
'1: 0011',
'2: 1100',
'1010',
])
tf = atalanta.parse(text)
# second-to-last axis = inputs, last axis = patterns
assert tf.patterns.shape == (4, 3)
assert tf.patterns.dtype == np.uint8
assert set(np.unique(tf.patterns)) <= {logic.ZERO, logic.ONE}
# patterns are stored along the last axis
assert list(tf.patterns[:, 0]) == [logic.ZERO, logic.ZERO, logic.ONE, logic.ONE]
assert list(tf.patterns[:, 1]) == [logic.ONE, logic.ONE, logic.ZERO, logic.ZERO]
assert list(tf.patterns[:, 2]) == [logic.ONE, logic.ZERO, logic.ONE, logic.ZERO]
def test_empty():
tf = atalanta.parse('* only comments\n* nothing else\n')
assert tf.patterns.shape == (0, 0)
assert tf.patterns.dtype == np.uint8
+3 -3
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@@ -2,7 +2,7 @@ import pickle
from kyupy.circuit import GrowingList, Circuit, Node, Line from kyupy.circuit import GrowingList, Circuit, Node, Line
from kyupy import verilog, bench from kyupy import verilog, bench
from kyupy.techlib import SAED32 from kyupy.techlib import KYUPY, SAED32
def test_growing_list(): def test_growing_list():
gl = GrowingList() gl = GrowingList()
@@ -155,7 +155,7 @@ def test_substitute():
def test_resolve(mydir): def test_resolve(mydir):
c = verilog.load(mydir / 'b15_4ig.v.gz', tlib=SAED32) c = verilog.load(mydir / 'b15_4ig.v.gz', tlib=SAED32)
s_names = [n.name for n in c.s_nodes] s_names = [n.name for n in c.s_nodes(SAED32)]
c.resolve_tlib_cells(SAED32) c.resolve_tlib_cells(SAED32)
s_names_prim = [n.name for n in c.s_nodes] s_names_prim = [n.name for n in c.s_nodes(KYUPY)]
assert s_names == s_names_prim, 'resolve_tlib_cells does not preserve names or order of s_nodes' assert s_names == s_names_prim, 'resolve_tlib_cells does not preserve names or order of s_nodes'
+49 -54
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@@ -2,8 +2,8 @@ import numpy as np
from kyupy.logic_sim import LogicSim, LogicSim2V, LogicSim4V, LogicSim6V from kyupy.logic_sim import LogicSim, LogicSim2V, LogicSim4V, LogicSim6V
from kyupy import bench, logic, sim, verilog from kyupy import bench, logic, sim, verilog
from kyupy.logic import mvarray, bparray, bp_to_mv, mv_to_bp from kyupy.logic import mv_str, mvarray, bparray, bp_to_mv, mv_to_bp
from kyupy.techlib import SAED90 from kyupy.techlib import SAED90, KYUPY
def test_dangling(): def test_dangling():
c = verilog.parse(''' c = verilog.parse('''
@@ -20,6 +20,18 @@ def test_dangling():
sim.simulate(p) sim.simulate(p)
assert p[1,0] == logic.ONE assert p[1,0] == logic.ONE
def test_used_output():
c = bench.parse('input(i0) output(o0) output(o1) o0=BUF1(i0) o1=BUF(o0)')
sim = LogicSim2V(c)
expect = mvarray('000', '111')
actual = sim.simulate(expect.copy())
np.testing.assert_array_equal(
expect[c.io_locs('o0')],
actual[c.io_locs('o0')])
np.testing.assert_array_equal(
expect[c.io_locs('o1')],
actual[c.io_locs('o1')])
def assert_equal_shape_and_contents(actual, desired): def assert_equal_shape_and_contents(actual, desired):
desired = np.array(desired, dtype=np.uint8) desired = np.array(desired, dtype=np.uint8)
assert actual.shape == desired.shape assert actual.shape == desired.shape
@@ -105,7 +117,7 @@ def test_LogicSim6V_simprims(mydir):
sim1.simulate(tests1) sim1.simulate(tests1)
sim2.simulate(tests2) sim2.simulate(tests2)
for loc1, loc2 in zip(c1.io_locs('o'), c2.io_locs('o')): for loc1, loc2 in zip(c1.io_locs('o'), c2.io_locs('o')):
n = c1.s_nodes[loc1] n = c1.s_nodes(KYUPY)[loc1]
if (tests1[loc1] != tests2[loc2]).any(): if (tests1[loc1] != tests2[loc2]).any():
print(f'Mismatch at output {n}') print(f'Mismatch at output {n}')
np.testing.assert_array_equal( np.testing.assert_array_equal(
@@ -150,14 +162,12 @@ def test_2v():
o31=OAI211(i0,i1,i2,i3) o31=OAI211(i0,i1,i2,i3)
o32=MUX21(i0,i1,i2) o32=MUX21(i0,i1,i2)
''') ''')
s = LogicSim(c, 16, m=2) s = LogicSim2V(c, 16)
bpa = logic.bparray([f'{i:04b}'+('-'*(s.s_len-4)) for i in range(16)]) s.s_assign[...] = logic.mvarray([f'{i:04b}'+('-'*(s.s_len-4)) for i in range(16)])
s.s[0] = bpa
s.s_to_c() s.s_to_c()
s.c_prop() s.c_prop()
s.c_to_s() s.c_to_s()
mva = logic.bp_to_mv(s.s[1]) for res, exp in zip(logic.packbits(s.s_result[4:], dtype=np.uint32), [
for res, exp in zip(logic.packbits(mva[4:], dtype=np.uint32), [
sim.BUF1, sim.INV1, sim.BUF1, sim.INV1,
sim.AND2, sim.AND3, sim.AND4, sim.AND2, sim.AND3, sim.AND4,
sim.NAND2, sim.NAND3, sim.NAND4, sim.NAND2, sim.NAND3, sim.NAND4,
@@ -178,19 +188,17 @@ def test_2v():
def test_4v(): def test_4v():
c = bench.parse('input(x, y) output(a, o, n) a=and(x,y) o=or(x,y) n=not(x)') c = bench.parse('input(x, y) output(a, o, n) a=and(x,y) o=or(x,y) n=not(x)')
s = LogicSim(c, 16, m=4) s = LogicSim4V(c, 16)
assert s.s_len == 5 assert s.s_len == 5
bpa = bparray( s.s_assign[...] = mvarray(
'00---', '01---', '0----', '0X---', '00---', '01---', '0----', '0X---',
'10---', '11---', '1----', '1X---', '10---', '11---', '1----', '1X---',
'-0---', '-1---', '-----', '-X---', '-0---', '-1---', '-----', '-X---',
'X0---', 'X1---', 'X----', 'XX---') 'X0---', 'X1---', 'X----', 'XX---')
s.s[0] = bpa
s.s_to_c() s.s_to_c()
s.c_prop() s.c_prop()
s.c_to_s() s.c_to_s()
mva = bp_to_mv(s.s[1]) assert_equal_shape_and_contents(s.s_result, mvarray(
assert_equal_shape_and_contents(mva, mvarray(
'--001', '--011', '--0X1', '--0X1', '--001', '--011', '--0X1', '--0X1',
'--010', '--110', '--X10', '--X10', '--010', '--110', '--X10', '--X10',
'--0XX', '--X1X', '--XXX', '--XXX', '--0XX', '--X1X', '--XXX', '--XXX',
@@ -198,38 +206,34 @@ def test_4v():
def test_4v_fault(): def test_4v_fault():
c = bench.parse('input(x, y) output(a) a=and(x,y)') c = bench.parse('input(x, y) output(a) a=and(x,y)')
s = LogicSim(c, 16, m=4) s = LogicSim4V(c, 16)
assert s.s_len == 3 assert s.s_len == 3
bpa = bparray( s.s_assign[...] = mvarray(
'00-', '01-', '0--', '0X-', '00-', '01-', '0--', '0X-',
'10-', '11-', '1--', '1X-', '10-', '11-', '1--', '1X-',
'-0-', '-1-', '---', '-X-', '-0-', '-1-', '---', '-X-',
'X0-', 'X1-', 'X--', 'XX-') 'X0-', 'X1-', 'X--', 'XX-')
s.s[0] = bpa
s.s_to_c() s.s_to_c()
s.c_prop() s.c_prop()
s.c_to_s() s.c_to_s()
mva = bp_to_mv(s.s[1]) assert_equal_shape_and_contents(s.s_result, mvarray(
assert_equal_shape_and_contents(mva, mvarray(
'--0', '--0', '--0', '--0', '--0', '--0', '--0', '--0',
'--0', '--1', '--X', '--X', '--0', '--1', '--X', '--X',
'--0', '--X', '--X', '--X', '--0', '--X', '--X', '--X',
'--0', '--X', '--X', '--X')) '--0', '--X', '--X', '--X'))
fault_line = s.circuit.cells['a'].ins[0] fault_line = s.circuit.cells['a'].ins[0]
s.s_to_c() s.s_to_c()
s.c_prop(fault_line=fault_line, fault_model=1) s.c_prop(fault_line=fault_line.index, fault_model=1)
s.c_to_s() s.c_to_s()
mva = bp_to_mv(s.s[1]) assert_equal_shape_and_contents(s.s_result, mvarray(
assert_equal_shape_and_contents(mva, mvarray(
'--0', '--1', '--X', '--X', '--0', '--1', '--X', '--X',
'--0', '--1', '--X', '--X', '--0', '--1', '--X', '--X',
'--0', '--1', '--X', '--X', '--0', '--1', '--X', '--X',
'--0', '--1', '--X', '--X')) '--0', '--1', '--X', '--X'))
s.s_to_c() s.s_to_c()
s.c_prop(fault_line=fault_line, fault_model=0) s.c_prop(fault_line=fault_line.index, fault_model=0)
s.c_to_s() s.c_to_s()
mva = bp_to_mv(s.s[1]) assert_equal_shape_and_contents(s.s_result, mvarray(
assert_equal_shape_and_contents(mva, mvarray(
'--0', '--0', '--0', '--0', '--0', '--0', '--0', '--0',
'--0', '--0', '--0', '--0', '--0', '--0', '--0', '--0',
'--0', '--0', '--0', '--0', '--0', '--0', '--0', '--0',
@@ -255,11 +259,11 @@ def test_6v():
resp = s.s[1].copy() resp = s.s[1].copy()
exp_resp = np.copy(mva) exp_resp = np.copy(mva)
exp_resp[:2] = logic.ZERO exp_resp[:2] = logic.UNASSIGNED
np.testing.assert_allclose(resp, exp_resp) np.testing.assert_allclose(resp, exp_resp)
def test_8v(): def xtest_8v():
c = bench.parse('input(x, y) output(a, o, n, xo) a=and(x,y) o=or(x,y) n=not(x) xo=xor(x,y)') c = bench.parse('input(x, y) output(a, o, n, xo) a=and(x,y) o=or(x,y) n=not(x) xo=xor(x,y)')
s = LogicSim(c, 64, m=8) s = LogicSim(c, 64, m=8)
assert s.s_len == 6 assert s.s_len == 6
@@ -286,8 +290,8 @@ def test_8v():
np.testing.assert_allclose(resp, exp_resp) np.testing.assert_allclose(resp, exp_resp)
def test_loop(): def xtest_loop():
c = bench.parse('q=dff(d) d=not(q)') c = bench.parse('q=DFF(d) d=NOT(q)')
s = LogicSim(c, 4, m=8) s = LogicSim(c, 4, m=8)
assert s.s_len == 1 assert s.s_len == 1
mva = mvarray([['0'], ['1'], ['R'], ['F']]) mva = mvarray([['0'], ['1'], ['R'], ['F']])
@@ -313,8 +317,8 @@ def test_loop():
# assert resp[3] == 'F' # assert resp[3] == 'F'
def test_latch(): def xtest_latch():
c = bench.parse('input(d, t) output(q) q=latch(d, t)') c = bench.parse('input(d, t) output(q) q=LATCH(d, t)')
s = LogicSim(c, 8, m=8) s = LogicSim(c, 8, m=8)
assert s.s_len == 4 assert s.s_len == 4
mva = mvarray('00-0', '00-1', '01-0', '01-1', '10-0', '10-1', '11-0', '11-1') mva = mvarray('00-0', '00-1', '01-0', '01-1', '10-0', '10-1', '11-0', '11-1')
@@ -327,19 +331,6 @@ def test_latch():
# assert resp[i] == exp[i] # assert resp[i] == exp[i]
def test_b01(mydir):
c = bench.load(mydir / 'b01.bench')
# 8-valued
s = LogicSim(c, 8, m=8)
mva = np.zeros((s.s_len, 8), dtype=np.uint8)
s.s[0] = mv_to_bp(mva)
s.s_to_c()
s.c_prop()
s.c_to_s()
bp_to_mv(s.s[1])
def sim_and_compare(c, test_resp, m=8): def sim_and_compare(c, test_resp, m=8):
tests, resp = test_resp tests, resp = test_resp
lsim = LogicSim(c, m=m, sims=tests.shape[1]) lsim = LogicSim(c, m=m, sims=tests.shape[1])
@@ -356,14 +347,14 @@ def sim_and_compare(c, test_resp, m=8):
print(f'mismatch pattern:{pat} ppio:{idx} exp:{logic.mv_str(resp[idx,pat])} act:{logic.mv_str(resp_sim[idx,pat])}') print(f'mismatch pattern:{pat} ppio:{idx} exp:{logic.mv_str(resp[idx,pat])} act:{logic.mv_str(resp_sim[idx,pat])}')
assert len(idxs) == 0 assert len(idxs) == 0
def sim_and_compare_6v(c, test_resp): def sim_and_compare_cls(c, test_resp, SimCls):
tests, resp = test_resp tests, resp = test_resp
lsim = LogicSim6V(c, sims=tests.shape[1]) lsim = SimCls(c, sims=tests.shape[1])
lsim.s[0] = tests lsim.s_assign[...] = tests
lsim.s_to_c() lsim.s_to_c()
lsim.c_prop() lsim.c_prop()
lsim.c_to_s() lsim.c_to_s()
resp_sim = lsim.s[1] resp_sim = lsim.s_result
idxs, pats = np.nonzero(((resp == logic.ONE) & (resp_sim != logic.ONE)) | ((resp == logic.ZERO) & (resp_sim != logic.ZERO))) idxs, pats = np.nonzero(((resp == logic.ONE) & (resp_sim != logic.ONE)) | ((resp == logic.ZERO) & (resp_sim != logic.ZERO)))
for i, (idx, pat) in enumerate(zip(idxs, pats)): for i, (idx, pat) in enumerate(zip(idxs, pats)):
if i >= 10: if i >= 10:
@@ -374,28 +365,32 @@ def sim_and_compare_6v(c, test_resp):
def test_b15_2ig_sa_2v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp): def test_b15_2ig_sa_2v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp):
sim_and_compare(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp, m=2) sim_and_compare_cls(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp, LogicSim2V)
def test_b15_2ig_sa_4v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp): def test_b15_2ig_sa_4v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp):
sim_and_compare(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp, m=4) sim_and_compare_cls(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp, LogicSim4V)
def test_b15_2ig_sa_6v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp): def test_b15_2ig_sa_6v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp):
sim_and_compare_6v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp) sim_and_compare_cls(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp, LogicSim6V)
def test_b15_2ig_sa_8v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp): def xtest_b15_2ig_sa_8v(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp):
sim_and_compare(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp, m=8) sim_and_compare(b15_2ig_circuit_resolved, b15_2ig_sa_nf_test_resp, m=8)
def test_b15_4ig_sa_2v(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp): def test_b15_4ig_sa_2v(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp):
sim_and_compare(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp, m=2) sim_and_compare_cls(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp, LogicSim2V)
def test_b15_4ig_sa_4v(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp): def test_b15_4ig_sa_4v(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp):
sim_and_compare(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp, m=4) sim_and_compare_cls(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp, LogicSim4V)
def test_b15_4ig_sa_8v(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp): def test_b15_4ig_sa_6v(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp):
sim_and_compare_cls(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp, LogicSim6V)
def xtest_b15_4ig_sa_8v(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp):
sim_and_compare(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp, m=8) sim_and_compare(b15_4ig_circuit_resolved, b15_4ig_sa_rf_test_resp, m=8)
+1 -1
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@@ -14,7 +14,7 @@ def test_b15(mydir):
assert len(resp) > 0 assert len(resp) > 0
s2 = stil.load(mydir / 'b15_2ig.tf_nf.stil.gz') s2 = stil.load(mydir / 'b15_2ig.tf_nf.stil.gz')
tests = s2.tests_loc(b15) tests = s2.tests_loc(b15, SAED32)
resp = s2.responses(b15) resp = s2.responses(b15)
assert len(tests) > 0 assert len(tests) > 0
assert len(resp) > 0 assert len(resp) > 0
+4 -4
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@@ -9,7 +9,7 @@ def test_b01(mydir):
assert len(c.nodes) == 139 assert len(c.nodes) == 139
assert len(c.lines) == 203 assert len(c.lines) == 203
stats = c.stats stats = c.stats(SAED90)
assert stats['input'] == 6 assert stats['input'] == 6
assert stats['output'] == 3 assert stats['output'] == 3
assert stats['__seq__'] == 5 assert stats['__seq__'] == 5
@@ -19,7 +19,7 @@ def test_b15(mydir):
c = verilog.load(mydir / 'b15_4ig.v.gz', tlib=SAED32) c = verilog.load(mydir / 'b15_4ig.v.gz', tlib=SAED32)
assert len(c.nodes) == 12067 assert len(c.nodes) == 12067
assert len(c.lines) == 20731 assert len(c.lines) == 20731
stats = c.stats stats = c.stats(SAED32)
assert stats['input'] == 40 assert stats['input'] == 40
assert stats['output'] == 71 assert stats['output'] == 71
assert stats['__seq__'] == 417 assert stats['__seq__'] == 417
@@ -29,7 +29,7 @@ def test_gates(mydir):
c = verilog.load(mydir / 'gates.v', tlib=NANGATE45) c = verilog.load(mydir / 'gates.v', tlib=NANGATE45)
assert len(c.nodes) == 18 assert len(c.nodes) == 18
assert len(c.lines) == 21 assert len(c.lines) == 21
stats = c.stats stats = c.stats(NANGATE45)
assert stats['input'] == 3 assert stats['input'] == 3
assert stats['output'] == 4 assert stats['output'] == 4
assert stats['__seq__'] == 0 assert stats['__seq__'] == 0
@@ -39,7 +39,7 @@ def test_halton2(mydir):
c = verilog.load(mydir / 'rng_haltonBase2.synth_yosys.v', tlib=SAED90) c = verilog.load(mydir / 'rng_haltonBase2.synth_yosys.v', tlib=SAED90)
assert len(c.nodes) == 146 assert len(c.nodes) == 146
assert len(c.lines) == 210 assert len(c.lines) == 210
stats = c.stats stats = c.stats(SAED90)
assert stats['input'] == 2 assert stats['input'] == 2
assert stats['output'] == 12 assert stats['output'] == 12
assert stats['__seq__'] == 12 assert stats['__seq__'] == 12
+4 -4
View File
@@ -1,7 +1,7 @@
import numpy as np import numpy as np
from kyupy.wave_sim import WaveSim, WaveSimCuda, wave_eval_cpu, TMIN, TMAX from kyupy.wave_sim import WaveSim, WaveSimCuda, wave_eval_cpu, TMIN, TMAX
from kyupy.logic_sim import LogicSim from kyupy.logic_sim import LogicSim6V
from kyupy import logic, bench, sim from kyupy import logic, bench, sim
from kyupy.logic import mvarray from kyupy.logic import mvarray
@@ -175,12 +175,12 @@ def compare_to_logic_sim(wsim: WaveSim):
resp |= ((resp ^ (resp >> 1)) & 1) << 2 # transitions resp |= ((resp ^ (resp >> 1)) & 1) << 2 # transitions
resp[wsim.pi_s_locs] = logic.UNASSIGNED resp[wsim.pi_s_locs] = logic.UNASSIGNED
lsim = LogicSim(wsim.circuit, tests.shape[-1]) lsim = LogicSim6V(wsim.circuit, tests.shape[-1])
lsim.s[0] = logic.mv_to_bp(tests) lsim.s_assign[...] = tests
lsim.s_to_c() lsim.s_to_c()
lsim.c_prop() lsim.c_prop()
lsim.c_to_s() lsim.c_to_s()
exp = logic.bp_to_mv(lsim.s[1])[:,:tests.shape[-1]] exp = lsim.s_result[:,:tests.shape[-1]]
resp[resp == logic.PPULSE] = logic.ZERO resp[resp == logic.PPULSE] = logic.ZERO
resp[resp == logic.NPULSE] = logic.ONE resp[resp == logic.NPULSE] = logic.ONE