Browse Source

4v sim, fixed 6v sim, better testing

devel
stefan 2 weeks ago
parent
commit
31434cfd51
  1. 423
      src/kyupy/logic_sim.py
  2. 2
      tests/Makefile
  3. 134
      tests/all_kyupy_simprims.minimal.v
  4. 32
      tests/all_kyupy_simprims.v
  5. 76
      tests/test_logic_sim.py

423
src/kyupy/logic_sim.py

@ -11,7 +11,7 @@ import math @@ -11,7 +11,7 @@ import math
import numpy as np
from . import numba, logic, hr_bytes, sim, eng, cdiv, batchrange
from .circuit import Circuit
from .circuit import Circuit, Line
class LogicSim(sim.SimOps):
@ -53,7 +53,7 @@ class LogicSim(sim.SimOps): @@ -53,7 +53,7 @@ class LogicSim(sim.SimOps):
"""
self.c[self.pippi_c_locs] = self.s[0, self.pippi_s_locs, :self.mdim]
def c_prop(self, sims=None, inject_cb=None, fault_line=-1, fault_mask=None, fault_model=2):
def c_prop(self, sims=None, inject_cb=None, fault_line:Line|int=-1, fault_mask=None, fault_model=2):
"""Propagate the input values through the combinational circuit towards the outputs.
Performs all logic operations in topological order.
@ -78,7 +78,7 @@ class LogicSim(sim.SimOps): @@ -78,7 +78,7 @@ class LogicSim(sim.SimOps):
t1 = self.c_locs[self.tmp2_idx]
if self.m == 2:
if inject_cb is None:
_prop_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, int(fault_line), fault_mask, int(fault_model))
else:
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)]
@ -316,8 +316,93 @@ class LogicSim(sim.SimOps): @@ -316,8 +316,93 @@ class LogicSim(sim.SimOps):
self.s_ppo_to_ppi()
class LogicSim2V(sim.SimOps):
"""A bit-parallel naïve combinational simulator for 2-valued logic.
:param circuit: The circuit to simulate.
:param sims: The number of parallel logic simulations to perform.
:param c_reuse: If True, intermediate signal values may get overwritten when not needed anymore to save memory.
:param strip_forks: If True, forks are not included in the simulation model to save memory and simulation time.
Caveat: faults on fanout branches will not be injected if forks are stripped.
"""
def __init__(self, circuit: Circuit, sims: int = 8, c_reuse: bool = False, strip_forks: bool = False):
super().__init__(circuit, c_reuse=c_reuse, strip_forks=strip_forks)
self.sims = sims
nbytes = cdiv(sims, 8)
self.c = np.zeros((self.c_len, 1, nbytes), dtype=np.uint8)
"""Logic values within the combinational portion of the circuit.
In bit-parallel (bp) storage format.
Storage locations are indirectly addressed.
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)
"""Logic values assigned to the ports and flip-flops of the circuit.
The simulator reads (P)PI values from here.
Values assigned to PO positions are ignored.
This field is a 2-dimensional array and expects values in the mv storage format.
First index is the port position (defined by `self.circuit.s_nodes`), second index is the pattern index (0 ... `self.sims-1`).
"""
self.s_result = np.zeros((self.s_len, self.sims), dtype=np.uint8)
"""Logic values at the ports and flip-flops of the circuit after simulation.
The simulator writes (P)PO values here.
Values assigned to PI positions are ignored.
This field is a 2-dimensional array and expects values in the mv storage format.
First index is the port position (defined by `self.circuit.s_nodes`), second index is the pattern index (0 ... `self.sims-1`).
"""
self._full_mask = np.full(self.c.shape[-1], 255, dtype=np.uint8)
def __repr__(self):
return f'{{name: "{self.circuit.name}", sims: {self.sims}, c_bytes: {eng(self.c.nbytes)}}}'
def s_to_c(self):
"""Assigns the values from ``self.s_assign`` to the inputs of the combinational portion.
"""
self.c[self.pippi_c_locs] = logic.mv_to_bp(self.s_assign[self.pippi_s_locs])[:,:1,:]
def c_prop(self, fault_line=-1, fault_model=2, fault_mask=None):
if fault_mask is None:
fault_mask = self._full_mask # default: full mask
else:
if len(fault_mask) < self.c.shape[-1]: # pad mask with 0's if necessary
fault_mask2 = np.full(self.c.shape[-1], 0, dtype=np.uint8)
fault_mask2[:len(fault_mask)] = fault_mask
fault_mask = fault_mask2
c_prop_2v_cpu(self.ops, self.c_locs, self.c, int(fault_line), fault_mask, int(fault_model))
def c_to_s(self):
"""Captures the results of the combinational portion into ``self.s_result``.
"""
self.s_result[self.poppo_s_locs] = logic.bp_to_mv(self.c[self.poppo_c_locs])[:,:self.sims] * logic.ONE
def c_ppo_to_ppi(self):
"""Copies the result data for all PPOs (flip-flops) to PPIs for a next simulation cycle.
"""
self.c[self.ppi_c_locs] = self.c[self.ppo_c_locs].copy() # copy prevents undefined behavior if (P)PIs are connected directly to (P)POs
def allocate(self):
"""Allocates a new pattern array with appropriate dimensions ``(self.s_len, self.sims)`` for one-pass simulation.
"""
return np.full((self.s_len, self.sims), logic.ZERO, dtype=np.uint8)
def simulate(self, patterns, cycles:int = 1, fault_line=-1, fault_model=2, fault_mask=None):
assert cycles >= 1
for bo, bs in batchrange(patterns.shape[-1], self.sims):
self.s_assign[self.pippi_s_locs, :bs] = patterns[self.pippi_s_locs, bo:bo+bs]
self.s_to_c()
for cycle in range(cycles):
self.c_prop(fault_line=fault_line, fault_model=fault_model, fault_mask=fault_mask)
if cycle < (cycles-1): self.c_ppo_to_ppi()
self.c_to_s()
patterns[self.poppo_s_locs, bo:bo+bs] = self.s_result[self.poppo_s_locs, :bs]
return patterns
@numba.njit
def _prop_cpu(ops, c_locs, c, fault_line, fault_mask, fault_model):
def c_prop_2v_cpu(ops, c_locs, c, fault_line, fault_mask, fault_model):
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)]
if op == sim.BUF1: c[o0]=c[i0]
@ -363,21 +448,22 @@ def _prop_cpu(ops, c_locs, c, fault_line, fault_mask, fault_model): @@ -363,21 +448,22 @@ def _prop_cpu(ops, c_locs, c, fault_line, fault_mask, fault_model):
c[o0] = c[o0] ^ fault_mask
class LogicSim2V(sim.SimOps):
"""A bit-parallel naïve combinational simulator for 2-valued logic.
class LogicSim4V(sim.SimOps):
"""A bit-parallel naïve combinational simulator for 4-valued logic.
Logic values: 0, 1, -, X
:param circuit: The circuit to simulate.
:param sims: The number of parallel logic simulations to perform.
:param c_reuse: If True, intermediate signal values may get overwritten when not needed anymore to save memory.
:param strip_forks: If True, forks are not included in the simulation model to save memory and simulation time.
Caveat: faults on fanout branches will not be injected if forks are stripped.
"""
def __init__(self, circuit: Circuit, sims: int = 8, c_reuse: bool = False, strip_forks: bool = False):
super().__init__(circuit, c_reuse=c_reuse, strip_forks=strip_forks)
self.sims = sims
nbytes = cdiv(sims, 8)
self.c = np.zeros((self.c_len, 1, nbytes), dtype=np.uint8)
self.c = np.zeros((self.c_len, 2, nbytes), dtype=np.uint8)
"""Logic values within the combinational portion of the circuit.
In bit-parallel (bp) storage format.
@ -386,19 +472,19 @@ class LogicSim2V(sim.SimOps): @@ -386,19 +472,19 @@ class LogicSim2V(sim.SimOps):
"""
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.
The simulator reads (P)PI values from here.
Values assigned to PO positions are ignored.
This field is a 2-dimensional array and expects values in the mv storage format.
First index is the port position (defined by `self.circuit.s_nodes`), second index is the pattern index (0 ... `self.sims-1`).
First index is the port position (defined by `self.circuit.s_nodes`), second
index is the pattern index (0 ... `self.sims-1`).
"""
self.s_result = np.zeros((self.s_len, self.sims), dtype=np.uint8)
"""Logic values at the ports and flip-flops of the circuit after simulation.
The simulator writes (P)PO values here.
Values assigned to PI positions are ignored.
This field is a 2-dimensional array and expects values in the mv storage format.
First index is the port position (defined by `self.circuit.s_nodes`), second index is the pattern index (0 ... `self.sims-1`).
First index is the port position (defined by `self.circuit.s_nodes`), second
index is the pattern index (0 ... `self.sims-1`).
"""
self._full_mask = np.full(self.c.shape[-1], 255, dtype=np.uint8)
@ -408,7 +494,7 @@ class LogicSim2V(sim.SimOps): @@ -408,7 +494,7 @@ class LogicSim2V(sim.SimOps):
def s_to_c(self):
"""Assigns the values from ``self.s_assign`` to the inputs of the combinational portion.
"""
self.c[self.pippi_c_locs] = logic.mv_to_bp(self.s_assign[self.pippi_s_locs])[:,:1,:]
self.c[self.pippi_c_locs] = logic.mv_to_bp(self.s_assign[self.pippi_s_locs])[:,:2,:]
def c_prop(self, fault_line=-1, fault_model=2, fault_mask=None):
if fault_mask is None:
@ -418,12 +504,12 @@ class LogicSim2V(sim.SimOps): @@ -418,12 +504,12 @@ class LogicSim2V(sim.SimOps):
fault_mask2 = np.full(self.c.shape[-1], 0, dtype=np.uint8)
fault_mask2[:len(fault_mask)] = fault_mask
fault_mask = fault_mask2
_prop_cpu(self.ops, self.c_locs, self.c, int(fault_line), fault_mask, int(fault_model))
c_prop_4v_cpu(self.ops, self.c_locs, self.c, int(fault_line), fault_mask, int(fault_model), self.tmp_idx, self.tmp2_idx)
def c_to_s(self):
"""Captures the results of the combinational portion into ``self.s_result``.
"""
self.s_result[self.poppo_s_locs] = logic.bp_to_mv(self.c[self.poppo_c_locs])[:,:self.sims] * logic.ONE
self.s_result[self.poppo_s_locs] = logic.bp_to_mv(self.c[self.poppo_c_locs])[:,:self.sims]
def c_ppo_to_ppi(self):
"""Copies the result data for all PPOs (flip-flops) to PPIs for a next simulation cycle.
@ -445,11 +531,197 @@ class LogicSim2V(sim.SimOps): @@ -445,11 +531,197 @@ class LogicSim2V(sim.SimOps):
if cycle < (cycles-1): self.c_ppo_to_ppi()
self.c_to_s()
patterns[self.poppo_s_locs, bo:bo+bs] = self.s_result[self.poppo_s_locs, :bs]
return patterns
@numba.njit
def c_prop_4v_cpu(ops, c_locs, c, fault_line, fault_mask, fault_model, t0_idx, t1_idx):
t0 = c[c_locs[t0_idx]]
t1 = c[c_locs[t1_idx]]
for op, o0l, i0l, i1l, i2l, i3l in ops[:,:6]:
o0, i0, i1, i2, i3 = [c[c_locs[x]] for x in (o0l, i0l, i1l, i2l, i3l)]
if op == sim.BUF1 or op == sim.INV1:
# i0[0,1] -> o0[0,1]
# 0 0 0 -> 0 0 0
# - 0 1 -> X 1 0
# X 1 0 -> X 1 0
# 1 1 1 -> 1 1 1
o0[0] = i0[0] | i0[1]
o0[1] = i0[0] & i0[1]
elif op == sim.AND2 or op == sim.NAND2:
# i1[0,1] * i0[0,1] -> o0[0,1]
# 0 0 0 0 0 0 -> 0 0 0
# 0 0 0 - 0 1 -> 0 0 0
# 0 0 0 X 1 0 -> 0 0 0
# 0 0 0 1 1 1 -> 0 0 0
# - 0 1 0 0 0 -> 0 0 0
# - 0 1 - 0 1 -> X 1 0
# - 0 1 X 1 0 -> X 1 0
# - 0 1 1 1 1 -> X 1 0
# X 1 0 0 0 0 -> 0 0 0
# X 1 0 - 0 1 -> X 1 0
# X 1 0 X 1 0 -> X 1 0
# X 1 0 1 1 1 -> X 1 0
# 1 1 1 0 0 0 -> 0 0 0
# 1 1 1 - 0 1 -> X 1 0
# 1 1 1 X 1 0 -> X 1 0
# 1 1 1 1 1 1 -> 1 1 1
o0[0] = (i0[0]|i0[1]) & (i1[0]|i1[1])
o0[1] = i0[0] & i0[1] & i1[0] & i1[1]
elif op == sim.AND3 or op == sim.NAND3:
# i2[0,1] * i1[0,1] * i0[0,1] -> o0[0,1]
o0[0] = (i0[0]|i0[1]) & (i1[0]|i1[1]) & (i2[0]|i2[1])
o0[1] = i0[0] & i0[1] & i1[0] & i1[1] & i2[0] & i2[1]
elif op == sim.AND4 or op == sim.NAND4:
# i3[0,1] * i2[0,1] * i1[0,1] * i0[0,1] -> o0[0,1]
o0[0] = (i0[0]|i0[1]) & (i1[0]|i1[1]) & (i2[0]|i2[1]) & (i3[0]|i3[1])
o0[1] = i0[0] & i0[1] & i1[0] & i1[1] & i2[0] & i2[1] & i3[0] & i3[1]
elif op == sim.OR2 or op == sim.NOR2:
# i1[0,1] + i0[0,1] -> o0[0,1]
# 0 0 0 0 0 0 -> 0 0 0
# 0 0 0 - 0 1 -> X 1 0
# 0 0 0 X 1 0 -> X 1 0
# 0 0 0 1 1 1 -> 1 1 1
# - 0 1 0 0 0 -> X 1 0
# - 0 1 - 0 1 -> X 1 0
# - 0 1 X 1 0 -> X 1 0
# - 0 1 1 1 1 -> 1 1 1
# X 1 0 0 0 0 -> X 1 0
# X 1 0 - 0 1 -> X 1 0
# X 1 0 X 1 0 -> X 1 0
# X 1 0 1 1 1 -> 1 1 1
# 1 1 1 0 0 0 -> 1 1 1
# 1 1 1 - 0 1 -> 1 1 1
# 1 1 1 X 1 0 -> 1 1 1
# 1 1 1 1 1 1 -> 1 1 1
o0[0] = i0[0] | i0[1] | i1[0] | i1[1]
o0[1] = (i0[0]&i0[1]) | (i1[0]&i1[1])
elif op == sim.OR3 or op == sim.NOR3:
# i2[0,1] + i1[0,1] + i0[0,1] -> o0[0,1]
o0[0] = i0[0] | i0[1] | i1[0] | i1[1] | i2[0] | i2[1]
o0[1] = (i0[0]&i0[1]) | (i1[0]&i1[1]) | (i2[0]&i2[1])
elif op == sim.OR4 or op == sim.NOR4:
# i3[0,1] + i2[0,1] + i1[0,1] + i0[0,1] -> o0[0,1]
o0[0] = i0[0] | i0[1] | i1[0] | i1[1] | i2[0] | i2[1] | i3[0] | i3[1]
o0[1] = (i0[0]&i0[1]) | (i1[0]&i1[1]) | (i2[0]&i2[1]) | (i3[0]&i3[1])
elif op == sim.XOR2 or op == sim.XNOR2:
# i1[0,1] ^ i0[0,1] -> o0[0,1]
# 0 0 0 0 0 0 -> 0 0 0
# 0 0 0 - 0 1 -> X 1 0
# 0 0 0 X 1 0 -> X 1 0
# 0 0 0 1 1 1 -> 1 1 1
# - 0 1 0 0 0 -> X 1 0
# - 0 1 - 0 1 -> X 1 0
# - 0 1 X 1 0 -> X 1 0
# - 0 1 1 1 1 -> X 1 0
# X 1 0 0 0 0 -> X 1 0
# X 1 0 - 0 1 -> X 1 0
# X 1 0 X 1 0 -> X 1 0
# X 1 0 1 1 1 -> X 1 0
# 1 1 1 0 0 0 -> 1 1 1
# 1 1 1 - 0 1 -> X 1 0
# 1 1 1 X 1 0 -> X 1 0
# 1 1 1 1 1 1 -> 0 0 0
o0[0] = (i0[0]|i0[1]|i1[0]|i1[1]) & (~i0[0]|~i0[1]|~i1[0]|~i1[1])
o0[1] = (~i0[0]&~i0[1]&i1[0]&i1[1]) | (i0[0]&i0[1]&~i1[0]&~i1[1])
elif op == sim.XOR3 or op == sim.XNOR3:
# i2[0,1] ^ i1[0,1] ^ i0[0,1] -> o0[0,1]
t0[0] = (i0[0]|i0[1]|i1[0]|i1[1]) & (~i0[0]|~i0[1]|~i1[0]|~i1[1])
t0[1] = (~i0[0]&~i0[1]&i1[0]&i1[1]) | (i0[0]&i0[1]&~i1[0]&~i1[1])
o0[0] = (t0[0]|t0[1]|i2[0]|i2[1]) & (~t0[0]|~t0[1]|~i2[0]|~i2[1])
o0[1] = (~t0[0]&~t0[1]&i2[0]&i2[1]) | (t0[0]&t0[1]&~i2[0]&~i2[1])
elif op == sim.XOR4 or op == sim.XNOR4:
# i3[0,1] ^ i2[0,1] ^ i1[0,1] ^ i0[0,1] -> o0[0,1]
t0[0] = (i0[0]|i0[1]|i1[0]|i1[1]) & (~i0[0]|~i0[1]|~i1[0]|~i1[1])
t0[1] = (~i0[0]&~i0[1]&i1[0]&i1[1]) | (i0[0]&i0[1]&~i1[0]&~i1[1])
t1[0] = (t0[0]|t0[1]|i2[0]|i2[1]) & (~t0[0]|~t0[1]|~i2[0]|~i2[1])
t1[1] = (~t0[0]&~t0[1]&i2[0]&i2[1]) | (t0[0]&t0[1]&~i2[0]&~i2[1])
o0[0] = (t1[0]|t1[1]|i3[0]|i3[1]) & (~t1[0]|~t1[1]|~i3[0]|~i3[1])
o0[1] = (~t1[0]&~t1[1]&i3[0]&i3[1]) | (t1[0]&t1[1]&~i3[0]&~i3[1])
elif op == sim.AO21 or op == sim.AOI21:
# (i0[0,1] * i1[0,1]) + i2[0,1] -> o0[0,1]
t0[0] = (i0[0]|i0[1]) & (i1[0]|i1[1])
t0[1] = i0[0] & i0[1] & i1[0] & i1[1]
o0[0] = t0[0] | t0[1] | i2[0] | i2[1]
o0[1] = (t0[0]&t0[1]) | (i2[0]&i2[1])
elif op == sim.OA21 or op == sim.OAI21:
# (i0[0,1] + i1[0,1]) * i2[0,1] -> o0[0,1]
t0[0] = i0[0] | i0[1] | i1[0] | i1[1]
t0[1] = (i0[0]&i0[1]) | (i1[0]&i1[1])
o0[0] = (t0[0]|t0[1]) & (i2[0]|i2[1])
o0[1] = t0[0] & t0[1] & i2[0] & i2[1]
elif op == sim.AO22 or op == sim.AOI22:
# (i0[0,1] * i1[0,1]) + (i2[0,1] * i3[0,1]) -> o0[0,1]
t0[0] = (i0[0]|i0[1]) & (i1[0]|i1[1])
t0[1] = i0[0] & i0[1] & i1[0] & i1[1]
t1[0] = (i2[0]|i2[1]) & (i3[0]|i3[1])
t1[1] = i2[0] & i2[1] & i3[0] & i3[1]
o0[0] = t0[0] | t0[1] | t1[0] | t1[1]
o0[1] = (t0[0]&t0[1]) | (t1[0]&t1[1])
elif op == sim.OA22 or op == sim.OAI22:
# (i0[0,1] + i1[0,1]) * (i2[0,1] + i3[0,1]) -> o0[0,1]
t0[0] = i0[0] | i0[1] | i1[0] | i1[1]
t0[1] = (i0[0]&i0[1]) | (i1[0]&i1[1])
t1[0] = i2[0] | i2[1] | i3[0] | i3[1]
t1[1] = (i2[0]&i2[1]) | (i3[0]&i3[1])
o0[0] = (t0[0]|t0[1]) & (t1[0]|t1[1])
o0[1] = t0[0] & t0[1] & t1[0] & t1[1]
elif op == sim.AO211 or op == sim.AOI211:
# (i0[0,1] * i1[0,1]) + i2[0,1] + i3[0,1] -> o0[0,1]
t0[0] = (i0[0]|i0[1]) & (i1[0]|i1[1])
t0[1] = i0[0] & i0[1] & i1[0] & i1[1]
o0[0] = t0[0] | t0[1] | i2[0] | i2[1] | i3[0] | i3[1]
o0[1] = (t0[0]&t0[1]) | (i2[0]&i2[1]) | (i3[0]&i3[1])
elif op == sim.OA211 or op == sim.OAI211:
# (i0[0,1] + i1[0,1]) * i2[0,1] * i3[0,1] -> o0[0,1]
t0[0] = i0[0] | i0[1] | i1[0] | i1[1]
t0[1] = (i0[0]&i0[1]) | (i1[0]&i1[1])
o0[0] = (t0[0]|t0[1]) & (i2[0]|i2[1]) & (i3[0]|i3[1])
o0[1] = t0[0] & t0[1] & i2[0] & i2[1] & i3[0] & i3[1]
elif op == sim.MUX21:
# t1[0,1] = ~i2[0,1]
t1[0] = ~i2[0] | ~i2[1]
t1[1] = ~i2[0] & ~i2[1]
# t0 = i0 * t1
t0[0] = (i0[0]|i0[1]) & (t1[0]|t1[1])
t0[1] = i0[0] & i0[1] & t1[0] & t1[1]
# t1 = i1 * i2
t1[0] = (i1[0]|i1[1]) & (i2[0]|i2[1])
t1[1] = i1[0] & i1[1] & i2[0] & i2[1]
# o0 = t0 | t1
o0[0] = t0[0] | t0[1] | t1[0] | t1[1]
o0[1] = (t0[0]&t0[1]) | (t1[0]&t1[1])
else: print(f'unknown op {op}')
if (op == sim.INV1 or
op == sim.NAND2 or op == sim.NAND3 or op == sim.NAND4 or
op == sim.NOR2 or op == sim.NOR3 or op == sim.NOR4 or
op == sim.XNOR2 or op == sim.XNOR3 or op == sim.XNOR4 or
op == sim.AOI21 or op == sim.OAI21 or
op == sim.AOI22 or op == sim.OAI22 or
op == sim.AOI211 or op == sim.OAI211):
# o0[0,1] -> o0[0,1]
# 0 0 0 -> 1 1 1
# - 0 1 -> X 1 0
# X 1 0 -> X 1 0
# 1 1 1 -> 0 0 0
t0[0] = ~o0[0] | ~o0[1]
o0[1] = ~o0[0] & ~o0[1]
o0[0] = t0[0]
if fault_line >= 0 and o0l == fault_line:
if fault_model == 0:
o0[...] = o0 & ~fault_mask
elif fault_model == 1:
o0[...] = o0 | fault_mask
else:
t0[0] = ~(o0[0] ^ o0[1]) # mask for 0 and 1
o0[...] = o0 ^ (fault_mask & t0[0]) # leaves X and - untouched
class LogicSim6V(sim.SimOps):
"""A bit-parallel naïve combinational simulator for 6-valued logic.
Logic values: 0, 1, R, F, N, P
:param circuit: The circuit to simulate.
:param sims: The number of parallel logic simulations to perform.
:param c_reuse: If True, intermediate signal values may get overwritten when not needed anymore to save memory.
@ -471,6 +743,9 @@ class LogicSim6V(sim.SimOps): @@ -471,6 +743,9 @@ class LogicSim6V(sim.SimOps):
Access this array to assign new values to the (P)PIs or read values from the (P)POs.
"""
self.s_assign = self.s[0]
self.s_result = self.s[1]
self._full_mask = np.full(self.c.shape[-1], 255, dtype=np.uint8)
def __repr__(self):
return f'{{name: "{self.circuit.name}", sims: {self.sims}, c_bytes: {eng(self.c.nbytes)}}}'
@ -480,17 +755,46 @@ class LogicSim6V(sim.SimOps): @@ -480,17 +755,46 @@ class LogicSim6V(sim.SimOps):
"""
self.c[self.pippi_c_locs] = logic.mv_to_bp(self.s[0, self.pippi_s_locs])
def c_prop(self):
c_prop_cpu(self.ops, self.c, self.c_locs, self.tmp_idx, self.tmp2_idx)
def c_prop(self, fault_line=-1, fault_model=2, fault_mask=None):
if fault_mask is None:
fault_mask = self._full_mask # default: full mask
else:
if len(fault_mask) < self.c.shape[-1]: # pad mask with 0's if necessary
fault_mask2 = np.full(self.c.shape[-1], 0, dtype=np.uint8)
fault_mask2[:len(fault_mask)] = fault_mask
fault_mask = fault_mask2
c_prop_6v_cpu(self.ops, self.c, self.c_locs, fault_line, fault_mask, fault_model, self.tmp_idx, self.tmp2_idx)
def c_to_s(self):
"""Captures the results of the combinational portion into ``s[1]``.
"""
self.s[1, self.poppo_s_locs] = logic.bp_to_mv(self.c[self.poppo_c_locs])[:,:self.sims]
def c_ppo_to_ppi(self):
"""Copies the result data for all PPOs (flip-flops) to PPIs for a next simulation cycle.
"""
self.c[self.ppi_c_locs] = self.c[self.ppo_c_locs].copy() # copy prevents undefined behavior if (P)PIs are connected directly to (P)POs
def allocate(self):
"""Allocates a new pattern array with appropriate dimensions ``(self.s_len, self.sims)`` for one-pass simulation.
"""
return np.full((self.s_len, self.sims), logic.ZERO, dtype=np.uint8)
def simulate(self, patterns, cycles:int = 1, fault_line=-1, fault_model=2, fault_mask=None):
assert cycles >= 1
for bo, bs in batchrange(patterns.shape[-1], self.sims):
self.s_assign[self.pippi_s_locs, :bs] = patterns[self.pippi_s_locs, bo:bo+bs]
self.s_to_c()
for cycle in range(cycles):
self.c_prop(fault_line=fault_line, fault_model=fault_model, fault_mask=fault_mask)
if cycle < (cycles-1): self.c_ppo_to_ppi()
self.c_to_s()
patterns[self.poppo_s_locs, bo:bo+bs] = self.s_result[self.poppo_s_locs, :bs]
return patterns
@numba.njit
def c_prop_cpu(ops, c, c_locs, tmp_idx, tmp2_idx):
def c_prop_6v_cpu(ops, c, c_locs, fault_line, fault_mask, fault_model, tmp_idx, tmp2_idx):
t0 = c[c_locs[tmp_idx]]
t1 = c[c_locs[tmp2_idx]]
inv_op = np.array([255, 255, 0], dtype=np.uint8)[np.newaxis, :, np.newaxis]
@ -538,6 +842,84 @@ def c_prop_cpu(ops, c, c_locs, tmp_idx, tmp2_idx): @@ -538,6 +842,84 @@ def c_prop_cpu(ops, c, c_locs, tmp_idx, tmp2_idx):
o0[0] = i0[0] ^ i1[0]
o0[1] = i0[1] ^ i1[1]
o0[2] = i0[2] | i1[2]
elif op == sim.XOR3 or op == sim.XNOR3:
o0[0] = i0[0] ^ i1[0] ^ i2[0]
o0[1] = i0[1] ^ i1[1] ^ i2[1]
o0[2] = i0[2] | i1[2] | i2[2]
elif op == sim.XOR4 or op == sim.XNOR4:
o0[0] = i0[0] ^ i1[0] ^ i2[0] ^ i3[0]
o0[1] = i0[1] ^ i1[1] ^ i2[1] ^ i3[1]
o0[2] = i0[2] | i1[2] | i2[2] | i3[2]
elif op == sim.AO21 or op == sim.AOI21:
# (i0[0,1] * i1[0,1]) + i2[0,1] -> o0[0,1]
t0[0] = i0[0] & i1[0]
t0[1] = i0[1] & i1[1]
t0[2] = (i0[2]&(i1[0]|i1[1]|i1[2])|
i1[2]&(i0[0]|i0[1]|i0[2]))
o0[0] = t0[0] | i2[0]
o0[1] = t0[1] | i2[1]
o0[2] = (t0[2]&(~i2[0]|~i2[1]|i2[2])|
i2[2]&(~t0[0]|~t0[1]|t0[2]))
elif op == sim.OA21 or op == sim.OAI21:
# (i0[0,1] + i1[0,1]) * i2[0,1] -> o0[0,1]
t0[0] = i0[0] | i1[0]
t0[1] = i0[1] | i1[1]
t0[2] = (i0[2]&(~i1[0]|~i1[1]|i1[2])|
i1[2]&(~i0[0]|~i0[1]|i0[2]))
o0[0] = t0[0] & i2[0]
o0[1] = t0[1] & i2[1]
o0[2] = (t0[2]&(i2[0]|i2[1]|i2[2])|
i2[2]&(t0[0]|t0[1]|t0[2]))
elif op == sim.AO22 or op == sim.AOI22:
# (i0[0,1] * i1[0,1]) + (i2[0,1] * i3[0,1]) -> o0[0,1]
t0[0] = i0[0] & i1[0]
t0[1] = i0[1] & i1[1]
t0[2] = (i0[2]&(i1[0]|i1[1]|i1[2])|
i1[2]&(i0[0]|i0[1]|i0[2]))
t1[0] = i2[0] & i3[0]
t1[1] = i2[1] & i3[1]
t1[2] = (i2[2]&(i3[0]|i3[1]|i3[2])|
i3[2]&(i2[0]|i2[1]|i2[2]))
o0[0] = t0[0] | t1[0]
o0[1] = t0[1] | t1[1]
o0[2] = (t0[2]&(~t1[0]|~t1[1]|t1[2])|
t1[2]&(~t0[0]|~t0[1]|t0[2]))
elif op == sim.OA22 or op == sim.OAI22:
# (i0[0,1] + i1[0,1]) * (i2[0,1] + i3[0,1]) -> o0[0,1]
t0[0] = i0[0] | i1[0]
t0[1] = i0[1] | i1[1]
t0[2] = (i0[2]&(~i1[0]|~i1[1]|i1[2])|
i1[2]&(~i0[0]|~i0[1]|i0[2]))
t1[0] = i2[0] | i3[0]
t1[1] = i2[1] | i3[1]
t1[2] = (i2[2]&(~i3[0]|~i3[1]|i3[2])|
i3[2]&(~i2[0]|~i2[1]|i2[2]))
o0[0] = t0[0] & t1[0]
o0[1] = t0[1] & t1[1]
o0[2] = (t0[2]&(t1[0]|t1[1]|t1[2])|
t1[2]&(t0[0]|t0[1]|t0[2]))
elif op == sim.AO211 or op == sim.AOI211:
# (i0[0,1] * i1[0,1]) + i2[0,1] + i3[0,1] -> o0[0,1]
t0[0] = i0[0] & i1[0]
t0[1] = i0[1] & i1[1]
t0[2] = (i0[2]&(i1[0]|i1[1]|i1[2])|
i1[2]&(i0[0]|i0[1]|i0[2]))
o0[0] = t0[0] | i2[0] | i3[0]
o0[1] = t0[1] | i2[1] | i3[1]
o0[2] = (t0[2]&(~i2[0]|~i2[1]|i2[2])&(~i3[0]|~i3[1]|i3[2])|
i2[2]&(~t0[0]|~t0[1]|t0[2])&(~i3[0]|~i3[1]|i3[2])|
i3[2]&(~t0[0]|~t0[1]|t0[2])&(~i2[0]|~i2[1]|i2[2]))
elif op == sim.OA211 or op == sim.OAI211:
# (i0[0,1] + i1[0,1]) * i2[0,1] * i3[0,1] -> o0[0,1]
t0[0] = i0[0] | i1[0]
t0[1] = i0[1] | i1[1]
t0[2] = (i0[2]&(~i1[0]|~i1[1]|i1[2])|
i1[2]&(~i0[0]|~i0[1]|i0[2]))
o0[0] = t0[0] & i2[0] & i3[0]
o0[1] = t0[1] & i2[1] & i3[1]
o0[2] = (t0[2]&(i2[0]|i2[1]|i2[2])&(i3[0]|i3[1]|i3[2])|
i2[2]&(t0[0]|t0[1]|t0[2])&(i3[0]|i3[1]|i3[2])|
i3[2]&(t0[0]|t0[1]|t0[2])&(i2[0]|i2[1]|i2[2]))
elif op == sim.MUX21:
# t1 = ~i2
t1[...] = i2 ^ inv_op
@ -561,5 +943,8 @@ def c_prop_cpu(ops, c, c_locs, tmp_idx, tmp2_idx): @@ -561,5 +943,8 @@ def c_prop_cpu(ops, c, c_locs, tmp_idx, tmp2_idx):
if (op == sim.INV1 or
op == sim.NAND2 or op == sim.NAND3 or op == sim.NAND4 or
op == sim.NOR2 or op == sim.NOR3 or op == sim.NOR4 or
op == sim.XNOR2):
op == sim.XNOR2 or op == sim.XNOR3 or op == sim.XNOR4 or
op == sim.AOI21 or op == sim.OAI21 or
op == sim.AOI22 or op == sim.OAI22 or
op == sim.AOI211 or op == sim.OAI211):
o0[...] = o0 ^ inv_op

2
tests/Makefile

@ -0,0 +1,2 @@ @@ -0,0 +1,2 @@
all:
abc -F map_to_minimal.abc

134
tests/all_kyupy_simprims.minimal.v

@ -1,22 +1,22 @@ @@ -1,22 +1,22 @@
// Benchmark "all_kyupy_primitives" written by ABC on Sat Nov 1 23:49:37 2025
// Benchmark "all_kyupy_primitives" written by ABC on Thu Nov 6 13:13:21 2025
module all_kyupy_primitives (
i0, i1, i2, i3,
\o[0] , \o[1] , \o[2] , \o[3] , \o[4] , \o[5] , \o[6] , \o[7] , \o[8] ,
\o[9] , \o[10] , \o[11] , \o[12] , \o[13] , \o[14] , \o[15] , \o[16] ,
\o[17] , \o[18] , \o[19] , \o[20] , \o[21] , \o[22] , \o[23] , \o[24] ,
\o[25] , \o[26] , \o[27] , \o[28] , \o[29] );
\o[25] , \o[26] , \o[27] , \o[28] , \o[29] , \o[30] , \o[31] , \o[32] );
input i0, i1, i2, i3;
output \o[0] , \o[1] , \o[2] , \o[3] , \o[4] , \o[5] , \o[6] , \o[7] ,
\o[8] , \o[9] , \o[10] , \o[11] , \o[12] , \o[13] , \o[14] , \o[15] ,
\o[16] , \o[17] , \o[18] , \o[19] , \o[20] , \o[21] , \o[22] , \o[23] ,
\o[24] , \o[25] , \o[26] , \o[27] , \o[28] , \o[29] ;
wire new_n42, new_n45, new_n48, new_n51, new_n52, new_n53, new_n54,
new_n55, new_n57, new_n58, new_n59, new_n60, new_n61, new_n62, new_n63,
new_n64, new_n65, new_n66, new_n67, new_n69, new_n70, new_n71, new_n72,
new_n73, new_n74, new_n75, new_n76, new_n77, new_n78, new_n79, new_n83,
new_n84, new_n88, new_n89, new_n93, new_n96, new_n99, new_n100,
new_n101;
\o[24] , \o[25] , \o[26] , \o[27] , \o[28] , \o[29] , \o[30] , \o[31] ,
\o[32] ;
wire new_n45, new_n48, new_n51, new_n54, new_n55, new_n56, new_n57,
new_n60, new_n61, new_n62, new_n63, new_n64, new_n65, new_n66, new_n67,
new_n68, new_n69, new_n72, new_n73, new_n74, new_n75, new_n76, new_n77,
new_n78, new_n79, new_n80, new_n81, new_n86, new_n87, new_n91, new_n92,
new_n96, new_n99, new_n102, new_n103, new_n104;
INV1 g00(.i0(i1), .o(\o[1] ));
AND2 g01(.i0(i1), .i1(i0), .o(\o[2] ));
AND2 g02(.i0(\o[2] ), .i1(i2), .o(\o[3] ));
@ -24,67 +24,67 @@ module all_kyupy_primitives ( @@ -24,67 +24,67 @@ module all_kyupy_primitives (
INV1 g04(.i0(\o[2] ), .o(\o[5] ));
INV1 g05(.i0(\o[3] ), .o(\o[6] ));
INV1 g06(.i0(\o[4] ), .o(\o[7] ));
INV1 g07(.i0(i0), .o(new_n42));
AND2 g08(.i0(\o[1] ), .i1(new_n42), .o(\o[11] ));
INV1 g07(.i0(i0), .o(new_n45));
AND2 g08(.i0(\o[1] ), .i1(new_n45), .o(\o[11] ));
INV1 g09(.i0(\o[11] ), .o(\o[8] ));
INV1 g10(.i0(i2), .o(new_n45));
AND2 g11(.i0(\o[11] ), .i1(new_n45), .o(\o[12] ));
INV1 g10(.i0(i2), .o(new_n48));
AND2 g11(.i0(\o[11] ), .i1(new_n48), .o(\o[12] ));
INV1 g12(.i0(\o[12] ), .o(\o[9] ));
INV1 g13(.i0(i3), .o(new_n48));
AND2 g14(.i0(\o[12] ), .i1(new_n48), .o(\o[13] ));
INV1 g13(.i0(i3), .o(new_n51));
AND2 g14(.i0(\o[12] ), .i1(new_n51), .o(\o[13] ));
INV1 g15(.i0(\o[13] ), .o(\o[10] ));
AND2 g16(.i0(\o[1] ), .i1(i0), .o(new_n51));
INV1 g17(.i0(new_n51), .o(new_n52));
AND2 g18(.i0(i1), .i1(new_n42), .o(new_n53));
INV1 g19(.i0(new_n53), .o(new_n54));
AND2 g20(.i0(new_n54), .i1(new_n52), .o(new_n55));
INV1 g21(.i0(new_n55), .o(\o[14] ));
AND2 g22(.i0(i2), .i1(i1), .o(new_n57));
INV1 g23(.i0(new_n57), .o(new_n58));
AND2 g24(.i0(new_n45), .i1(\o[1] ), .o(new_n59));
INV1 g25(.i0(new_n59), .o(new_n60));
AND2 g26(.i0(new_n60), .i1(new_n58), .o(new_n61));
INV1 g27(.i0(new_n61), .o(new_n62));
AND2 g28(.i0(new_n62), .i1(i0), .o(new_n63));
INV1 g29(.i0(new_n63), .o(new_n64));
AND2 g30(.i0(new_n61), .i1(new_n42), .o(new_n65));
INV1 g31(.i0(new_n65), .o(new_n66));
AND2 g32(.i0(new_n66), .i1(new_n64), .o(new_n67));
INV1 g33(.i0(new_n67), .o(\o[15] ));
AND2 g34(.i0(i3), .i1(new_n45), .o(new_n69));
INV1 g35(.i0(new_n69), .o(new_n70));
AND2 g36(.i0(new_n48), .i1(i2), .o(new_n71));
INV1 g37(.i0(new_n71), .o(new_n72));
AND2 g38(.i0(new_n72), .i1(new_n70), .o(new_n73));
INV1 g39(.i0(new_n73), .o(new_n74));
AND2 g40(.i0(new_n74), .i1(new_n55), .o(new_n75));
INV1 g41(.i0(new_n75), .o(new_n76));
AND2 g42(.i0(new_n73), .i1(\o[14] ), .o(new_n77));
INV1 g43(.i0(new_n77), .o(new_n78));
AND2 g44(.i0(new_n78), .i1(new_n76), .o(new_n79));
INV1 g45(.i0(new_n79), .o(\o[16] ));
AND2 g46(.i0(\o[5] ), .i1(new_n45), .o(\o[21] ));
INV1 g47(.i0(\o[21] ), .o(\o[17] ));
AND2 g48(.i0(i3), .i1(i2), .o(new_n83));
INV1 g49(.i0(new_n83), .o(new_n84));
AND2 g50(.i0(new_n84), .i1(\o[5] ), .o(\o[22] ));
INV1 g51(.i0(\o[22] ), .o(\o[18] ));
AND2 g52(.i0(\o[8] ), .i1(i2), .o(\o[19] ));
AND2 g53(.i0(new_n48), .i1(new_n45), .o(new_n88));
INV1 g54(.i0(new_n88), .o(new_n89));
AND2 g55(.i0(new_n89), .i1(\o[8] ), .o(\o[20] ));
INV1 g56(.i0(\o[19] ), .o(\o[23] ));
INV1 g57(.i0(\o[20] ), .o(\o[24] ));
AND2 g58(.i0(\o[5] ), .i1(new_n48), .o(new_n93));
AND2 g59(.i0(new_n93), .i1(new_n45), .o(\o[27] ));
INV1 g60(.i0(\o[27] ), .o(\o[25] ));
AND2 g61(.i0(\o[8] ), .i1(i3), .o(new_n96));
AND2 g62(.i0(new_n96), .i1(i2), .o(\o[26] ));
INV1 g63(.i0(\o[26] ), .o(\o[28] ));
AND2 g64(.i0(new_n45), .i1(i0), .o(new_n99));
INV1 g65(.i0(new_n99), .o(new_n100));
AND2 g66(.i0(new_n100), .i1(new_n58), .o(new_n101));
INV1 g67(.i0(new_n101), .o(\o[29] ));
AND2 g16(.i0(\o[1] ), .i1(i0), .o(new_n54));
INV1 g17(.i0(new_n54), .o(new_n55));
AND2 g18(.i0(i1), .i1(new_n45), .o(new_n56));
INV1 g19(.i0(new_n56), .o(new_n57));
AND2 g20(.i0(new_n57), .i1(new_n55), .o(\o[17] ));
INV1 g21(.i0(\o[17] ), .o(\o[14] ));
AND2 g22(.i0(i2), .i1(i1), .o(new_n60));
INV1 g23(.i0(new_n60), .o(new_n61));
AND2 g24(.i0(new_n48), .i1(\o[1] ), .o(new_n62));
INV1 g25(.i0(new_n62), .o(new_n63));
AND2 g26(.i0(new_n63), .i1(new_n61), .o(new_n64));
INV1 g27(.i0(new_n64), .o(new_n65));
AND2 g28(.i0(new_n65), .i1(i0), .o(new_n66));
INV1 g29(.i0(new_n66), .o(new_n67));
AND2 g30(.i0(new_n64), .i1(new_n45), .o(new_n68));
INV1 g31(.i0(new_n68), .o(new_n69));
AND2 g32(.i0(new_n69), .i1(new_n67), .o(\o[18] ));
INV1 g33(.i0(\o[18] ), .o(\o[15] ));
AND2 g34(.i0(i3), .i1(new_n48), .o(new_n72));
INV1 g35(.i0(new_n72), .o(new_n73));
AND2 g36(.i0(new_n51), .i1(i2), .o(new_n74));
INV1 g37(.i0(new_n74), .o(new_n75));
AND2 g38(.i0(new_n75), .i1(new_n73), .o(new_n76));
INV1 g39(.i0(new_n76), .o(new_n77));
AND2 g40(.i0(new_n77), .i1(\o[17] ), .o(new_n78));
INV1 g41(.i0(new_n78), .o(new_n79));
AND2 g42(.i0(new_n76), .i1(\o[14] ), .o(new_n80));
INV1 g43(.i0(new_n80), .o(new_n81));
AND2 g44(.i0(new_n81), .i1(new_n79), .o(\o[19] ));
INV1 g45(.i0(\o[19] ), .o(\o[16] ));
AND2 g46(.i0(\o[5] ), .i1(new_n48), .o(\o[24] ));
INV1 g47(.i0(\o[24] ), .o(\o[20] ));
AND2 g48(.i0(i3), .i1(i2), .o(new_n86));
INV1 g49(.i0(new_n86), .o(new_n87));
AND2 g50(.i0(new_n87), .i1(\o[5] ), .o(\o[25] ));
INV1 g51(.i0(\o[25] ), .o(\o[21] ));
AND2 g52(.i0(\o[8] ), .i1(i2), .o(\o[22] ));
AND2 g53(.i0(new_n51), .i1(new_n48), .o(new_n91));
INV1 g54(.i0(new_n91), .o(new_n92));
AND2 g55(.i0(new_n92), .i1(\o[8] ), .o(\o[23] ));
INV1 g56(.i0(\o[22] ), .o(\o[26] ));
INV1 g57(.i0(\o[23] ), .o(\o[27] ));
AND2 g58(.i0(\o[5] ), .i1(new_n51), .o(new_n96));
AND2 g59(.i0(new_n96), .i1(new_n48), .o(\o[30] ));
INV1 g60(.i0(\o[30] ), .o(\o[28] ));
AND2 g61(.i0(\o[8] ), .i1(i3), .o(new_n99));
AND2 g62(.i0(new_n99), .i1(i2), .o(\o[29] ));
INV1 g63(.i0(\o[29] ), .o(\o[31] ));
AND2 g64(.i0(new_n48), .i1(i0), .o(new_n102));
INV1 g65(.i0(new_n102), .o(new_n103));
AND2 g66(.i0(new_n103), .i1(new_n61), .o(new_n104));
INV1 g67(.i0(new_n104), .o(\o[32] ));
BUF1 g68(.i0(i0), .o(\o[0] ));
endmodule

32
tests/all_kyupy_simprims.v

@ -3,7 +3,7 @@ module all_kyupy_primitives (i0, i1, i2, i3, o); @@ -3,7 +3,7 @@ module all_kyupy_primitives (i0, i1, i2, i3, o);
input i1;
input i2;
input i3;
output [29:0] o;
output [32:0] o;
BUF1 buf1_0 (.i0(i0), .o(o[0]));
INV1 inv1_0 (.i0(i1), .o(o[1]));
@ -28,22 +28,26 @@ module all_kyupy_primitives (i0, i1, i2, i3, o); @@ -28,22 +28,26 @@ module all_kyupy_primitives (i0, i1, i2, i3, o);
XOR3 xor3_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[15]));
XOR4 xor4_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[16]));
AO21 ao21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[17]));
AO22 ao22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[18]));
OA21 oa21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[19]));
OA22 oa22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[20]));
XNOR2 xnor2_0 (.i0(i0), .i1(i1), .o(o[17]));
XNOR3 xnor3_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[18]));
XNOR4 xnor4_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[19]));
AOI21 aoi21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[21]));
AOI22 aoi22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[22]));
OAI21 oai21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[23]));
OAI22 oai22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[24]));
AO21 ao21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[20]));
AO22 ao22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[21]));
OA21 oa21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[22]));
OA22 oa22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[23]));
AO211 ao211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[25]));
OA211 oa211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[26]));
AOI21 aoi21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[24]));
AOI22 aoi22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[25]));
OAI21 oai21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[26]));
OAI22 oai22_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[27]));
AOI211 aoi211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[27]));
OAI211 oai211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[28]));
AO211 ao211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[28]));
OA211 oa211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[29]));
MUX21 mux21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[29]));
AOI211 aoi211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[30]));
OAI211 oai211_0 (.i0(i0), .i1(i1), .i2(i2), .i3(i3), .o(o[31]));
MUX21 mux21_0 (.i0(i0), .i1(i1), .i2(i2), .o(o[32]));
endmodule

76
tests/test_logic_sim.py

@ -1,6 +1,6 @@ @@ -1,6 +1,6 @@
import numpy as np
from kyupy.logic_sim import LogicSim, LogicSim2V, LogicSim6V
from kyupy.logic_sim import LogicSim, LogicSim2V, LogicSim4V, LogicSim6V
from kyupy import bench, logic, sim, verilog
from kyupy.logic import mvarray, bparray, bp_to_mv, mv_to_bp
@ -9,7 +9,45 @@ def assert_equal_shape_and_contents(actual, desired): @@ -9,7 +9,45 @@ def assert_equal_shape_and_contents(actual, desired):
assert actual.shape == desired.shape
np.testing.assert_allclose(actual, desired)
def test_simprims(mydir):
def test_LogicSim2V_minimal():
c = bench.parse('input(i0, i1) output(o0, o1, o2) o0=AND2(i0,i1) o1=INV1(i0) o2=BUF1(i0)')
sim = LogicSim2V(c)
expect = mvarray('00010',
'01010',
'10001',
'11101')
actual = sim.simulate(expect.copy())
np.testing.assert_array_equal(
expect[c.io_locs('o')],
actual[c.io_locs('o')])
def test_LogicSim4V_minimal():
c = bench.parse('input(i0, i1) output(o0, o1, o2) o0=AND2(i0,i1) o1=INV1(i0) o2=BUF1(i0)')
sim = LogicSim4V(c, 16)
expect = mvarray('00010', '01010', '0-010', '0X010',
'10001', '11101', '1-X01', '1XX01',
'-00XX', '-1XXX', '--XXX', '-XXXX',
'X00XX', 'X1XXX', 'X-XXX', 'XXXXX',)
actual = sim.simulate(expect.copy())
np.testing.assert_array_equal(
expect[c.io_locs('o')],
actual[c.io_locs('o')])
def test_LogicSim6V_minimal():
c = bench.parse('input(i0, i1) output(o0, o1, o2) o0=AND2(i0,i1) o1=INV1(i0) o2=BUF1(i0)')
sim = LogicSim6V(c, 36)
expect = mvarray('00010', '01010', '0R010', '0F010', '0P010', '0N010',
'10001', '11101', '1RR01', '1FF01', '1PP01', '1NN01',
'R00FR', 'R1RFR', 'RRRFR', 'RFPFR', 'RPPFR', 'RNRFR',
'F00RF', 'F1FRF', 'FRPRF', 'FFFRF', 'FPPRF', 'FNFRF',
'P00NP', 'P1PNP', 'PRPNP', 'PFPNP', 'PPPNP', 'PNPNP',
'N00PN', 'N1NPN', 'NRRPN', 'NFFPN', 'NPPPN', 'NNNPN')
actual = sim.simulate(expect.copy())
np.testing.assert_array_equal(
expect[c.io_locs('o')],
actual[c.io_locs('o')])
def test_LogicSim2V_simprims(mydir):
c1 = verilog.load(mydir / 'all_kyupy_simprims.v')
c2 = verilog.load(mydir / 'all_kyupy_simprims.minimal.v')
pi_count = sum([len(n.ins)==0 for n in c1.io_nodes])
@ -24,6 +62,40 @@ def test_simprims(mydir): @@ -24,6 +62,40 @@ def test_simprims(mydir):
tests1[c1.io_locs('o')],
tests2[c2.io_locs('o')])
def test_LogicSim4V_simprims(mydir):
c1 = verilog.load(mydir / 'all_kyupy_simprims.v')
c2 = verilog.load(mydir / 'all_kyupy_simprims.minimal.v')
pi_count = sum([len(n.ins)==0 for n in c1.io_nodes])
sim1 = LogicSim4V(c1, sims=4**pi_count)
sim2 = LogicSim4V(c2, sims=4**pi_count)
tests1 = sim1.allocate()
tests1[sim1.pippi_s_locs] = np.fromfunction(lambda x, y: (y//(4**x))%4, (pi_count, sim1.sims), dtype=int) # exhaustive test
tests2 = tests1.copy()
sim1.simulate(tests1)
sim2.simulate(tests2)
np.testing.assert_array_equal(
tests1[c1.io_locs('o')],
tests2[c2.io_locs('o')])
def test_LogicSim6V_simprims(mydir):
c1 = verilog.load(mydir / 'all_kyupy_simprims.v')
c2 = verilog.load(mydir / 'all_kyupy_simprims.minimal.v')
pi_count = sum([len(n.ins)==0 for n in c1.io_nodes])
sim1 = LogicSim6V(c1, sims=6**pi_count)
sim2 = LogicSim6V(c2, sims=6**pi_count)
tests1 = sim1.allocate()
tests1[sim1.pippi_s_locs] = logic.mvarray('01RFPN')[np.fromfunction(lambda x, y: (y//(6**x))%6, (pi_count, sim1.sims), dtype=int)] # exhaustive test
tests2 = tests1.copy()
sim1.simulate(tests1)
sim2.simulate(tests2)
for loc1, loc2 in zip(c1.io_locs('o'), c2.io_locs('o')):
n = c1.s_nodes[loc1]
if (tests1[loc1] != tests2[loc2]).any():
print(f'Mismatch at output {n}')
np.testing.assert_array_equal(
tests1[c1.io_locs('o')],
tests2[c2.io_locs('o')])
def test_2v():
c = bench.parse(f'''
input(i3, i2, i1, i0)

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