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import sys
import numpy as np
sys.path.insert(0, "/tmp/opencode/tl")
import export_full as E
P, Q, Sc, W, SC = E.build()
DIM, HID, NL, NH, HS, KVD = 64, 256, 8, 16, 4, 64
KV = json.load(open("/tmp/opencode/tl/kvmax.json"))
KMAX = np.array(KV["kmax"], np.int64)
VMAX = np.array(KV["vmax"], np.int64)
ATT_C = 66572
PKSH = 0
SILU_SH = 11
SILU_RND = False
ROPE = {}
LAST = {}
STATS = {"ca": 0, "prod": 0, "quant": 0, "x": 0}
FLOAT_ATT = False
FLOAT_SILU = False
FLOAT_ROPE = False
FLOAT_KV = False
def build_tables():
global P8, SILU, SRND, SG8
pk = 32 << PKSH
P8 = np.array([round(127 * np.exp(-i / pk)) for i in range(8 * pk)], np.int64)
g = 1 << (16 - SILU_SH)
SG8 = 8 * g
SRND = (1 << (SILU_SH - 1)) if SILU_RND else 0
SILU = np.array([round((x := (i - SG8) / g) / (1 + np.exp(-x)) * 4096) for i in range(16 * g + 1)], np.int64)
build_tables()
def w32(x):
return ((np.asarray(x, np.int64) + (1 << 31)) & 0xFFFFFFFF) - (1 << 31)
def i8(x):
return ((np.asarray(x, np.int64) + 128) & 255) - 128
def mulh(a, b):
return (np.asarray(a, np.int64) * np.int64(b)) >> 32
def quant(v, amax):
amax = max(int(amax), 256)
r = 0x7F000000 // amax
h = amax // 254
STATS["quant"] = max(STATS["quant"], int((np.abs(np.asarray(v, np.int64)) + h).max()) << 8)
return i8(mulh(w32((np.asarray(v, np.int64) + h) << 8), r))
def norm_f(xq):
ss = int((xq.astype(np.int64) ** 2).sum())
m = (ss << 10) & 0xFFFFFFFF
r, b = 0, 1 << 30
while b > m:
b >>= 2
while b:
if m >= r + b:
m -= r + b
r = (r >> 1) + b
else:
r >>= 1
b >>= 2
return int(w32((0x80000000 // r) << 10))
def plain_f(a):
return int(w32(((int(a) << 9) // 127) << 8))
def mv(xq, name, f):
acc = Q[name].astype(np.int64) @ xq.astype(np.int64)
return mulh(w32(acc * Sc[name].astype(np.int64)), f)
def sb(x):
x &= 0xFF
return x - 256 if x >= 128 else x
def pack4(b):
return sum((int(x) & 0xFF) << (8 * i) for i, x in enumerate(b))
def smaqa(a, b):
return sum(sb(a >> (8 * k)) * sb(b >> (8 * k)) for k in range(4))
def q8o(v, r, h):
t = int(mulh(w32((int(v) + (h if v >= 0 else -h)) << 8), r))
return max(-127, min(127, t))
def rope(v, pos):
if FLOAT_ROPE:
out = v.astype(np.float64).copy()
for i in range(0, len(v), 2):
fr = 1.0 / 10000 ** ((i % HS) / HS)
c, s_ = np.cos(pos * fr), np.sin(pos * fr)
a, b = float(v[i]), float(v[i + 1])
out[i] = a * c - b * s_
out[i + 1] = a * s_ + b * c
return np.round(out).astype(np.int64)
if pos not in ROPE:
t = []
for i in range(0, HS, 2):
fr = 1.0 / 10000 ** (i / HS)
t += [round(np.cos(pos * fr) * 16384), round(np.sin(pos * fr) * 16384)]
ROPE[pos] = t
t = ROPE[pos]
v = v.copy()
for i in range(0, len(v), 2):
c, s = t[i % HS], t[i % HS + 1]
a, b = int(v[i]) >> 6, int(v[i + 1]) >> 6
v[i] = (a * c - b * s) >> 8
v[i + 1] = (a * s + b * c) >> 8
return v
class State:
def __init__(self):
self.kq = np.zeros((NL, 32, KVD), np.int64)
self.vt = np.zeros((NL, KVD, 32), np.int64)
self.kf = np.zeros((NL, 32, KVD), np.float64)
self.vf = np.zeros((NL, 32, KVD), np.float64)
def step(tok, pos, st):
x = Q["embed"][tok].astype(np.int64) * int(Sc["embed"][tok]) * 2
LAST["xs"] = [x.copy()]
slot = 0 if pos == 0 else 1 + (pos - 1) % 31
n = pos + 1 if pos + 1 < 32 else 32
for l in range(NL):
xq = quant(x, np.abs(x).max())
f = norm_f(xq)
qv, kk, vv = mv(xq, f"q{l}", f), mv(xq, f"k{l}", f), mv(xq, f"v{l}", f)
qv, kk = rope(qv, pos), rope(kk, pos)
kr, kh = 0x7F000000 // int(KMAX[l]), int(KMAX[l]) // 254
vr, vh = 0x7F000000 // int(VMAX[l]), int(VMAX[l]) // 254
for i in range(KVD):
st.kq[l][slot][i] = q8o(kk[i], kr, kh)
st.vt[l][i][slot] = q8o(vv[i], vr, vh)
st.kf[l][slot] = kk
st.vf[l][slot] = vv
xb = np.zeros(DIM, np.int64)
for h in range(NH):
if FLOAT_ATT or FLOAT_KV:
qr = qv[h * HS:(h + 1) * HS].astype(np.float64)
ks = st.kf[l][:n, h * HS:(h + 1) * HS]
vs = st.vf[l][:n, h * HS:(h + 1) * HS]
if FLOAT_KV:
ks = np.round(ks / (int(KMAX[l]) / 127)).clip(-127, 127) * (int(KMAX[l]) / 127)
vs = np.round(vs / (int(VMAX[l]) / 127)).clip(-127, 127) * (int(VMAX[l]) / 127)
z = (ks @ qr) / 2.0 ** 32 * 0.5
pr = np.exp(z - z.max())
pr /= pr.sum()
xb[h * HS:(h + 1) * HS] = np.round(pr @ vs).astype(np.int64)
continue
qh = qv[h * HS:(h + 1) * HS]
am = max(256, int(np.abs(qh).max()))
r, hf = 0x7F000000 // am, am // 254
b = [q8o(v, r, hf) for v in qh]
q0, q1 = pack4(b[:4]), pack4(b[4:])
ca = min((((am * int(KMAX[l])) >> 10) * ATT_C) >> 16, 0x7FFFFFFF)
STATS["ca"] = max(STATS["ca"], ca)
sc = [smaqa(q0, pack4(st.kq[l][t][h * HS:h * HS + 4])) + smaqa(q1, pack4(st.kq[l][t][h * HS + 4:h * HS + 8])) for t in range(n)]
m = max(sc)
p = []
for s in sc:
i = (int(m - s) * ca) >> (32 - PKSH)
p.append(int(P8[i]) if 0 <= i < len(P8) else 0)
sp = sum(p)
rr = (int(VMAX[l]) << 12) // (127 * sp)
for j in range(HS):
o = sum(p[t] * int(st.vt[l][h * HS + j][t]) for t in range(n))
xb[h * HS + j] = (o * rr) >> 12
am = int(np.abs(xb).max())
xq = quant(xb, am)
x = x + mv(xq, f"o{l}", plain_f(max(am, 256)))
if l == 0:
LAST["xmid"] = x.copy()
xq = quant(x, np.abs(x).max())
f = norm_f(xq)
hb, hb2 = mv(xq, f"gate{l}", f), mv(xq, f"up{l}", f)
for i in range(HID):
a = int(hb[i])
if FLOAT_SILU:
hb[i] = int(round(a / (1 + np.exp(-a / 65536.0)) * int(hb2[i]) / 65536.0))
continue
s = a >> 4 if a >= 8 << 16 else (0 if a < -(8 << 16) else int(SILU[((a + SRND) >> SILU_SH) + SG8]))
STATS["prod"] = max(STATS["prod"], abs(s * (int(hb2[i]) >> 8)))
hb[i] = (s * (int(hb2[i]) >> 8)) >> 4
am = int(np.abs(hb).max())
xq = quant(hb, am)
y = Q[f"down{l}"].astype(np.int64) @ xq.astype(np.int64)
x = x + mulh(w32(y * Sc[f"down{l}"].astype(np.int64)), plain_f(max(am, 256)))
LAST["xs"].append(x.copy())
LAST["amax"] = max(int(np.abs(x).max()), 256)
STATS["x"] = max(STATS["x"], int(np.abs(x).max()))
LAST["rms"] = float(np.sqrt(np.mean((x.astype(np.float64) / 65536) ** 2)))
xq = quant(x, np.abs(x).max())
acc = Q["lm_head"].astype(np.int64) @ xq.astype(np.int64)
return mulh(w32(acc * Sc["lm_head"].astype(np.int64)), 1 << 30)
def run_free(tok, ntok):
st, out = State(), []
for pos in range(ntok):
lg = step(tok, pos, st)
tok = int(lg.argmax())
out.append(tok)
return out
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