def fprop(params):
"""
Forward pass of the NTM.
"""
W = params # aliasing for brevity
xs, zhs, hs, ys, ps, ts, zos, os = {}, {}, {}, {}, {}, {}, {}, {}
def l():
"""
Silly utility function that should be called in init.
"""
return [{} for _ in xrange(self.heads)]
rs = l()
zk_rs = l()
k_rs, beta_rs, g_rs, s_rs, gamma_rs = l(),l(),l(),l(),l()
k_ws, beta_ws, g_ws, s_ws, gamma_ws = l(),l(),l(),l(),l()
adds, erases = l(),l()
w_ws, w_rs = l(),l() # read weights and write weights
for idx in range(self.heads):
rs[idx][-1] = self.W['rsInit' + str(idx)] # stores values read from memory
w_ws[idx][-1] = softmax(self.W['w_wsInit' + str(idx)])
w_rs[idx][-1] = softmax(self.W['w_rsInit' + str(idx)])
mems = {} # the state of the memory at every timestep
mems[-1] = self.W['memsInit']
loss = 0
for t in xrange(len(inputs)):
xs[t] = np.reshape(np.array(inputs[t]),inputs[t].shape[::-1])
rsum = 0
for idx in range(self.heads):
rsum = rsum + np.dot(W['rh' + str(idx)], np.reshape(rs[idx][t-1],(self.M,1)))
zhs[t] = np.dot(W['xh'], xs[t]) + rsum + W['bh']
hs[t] = np.tanh(zhs[t])
zos[t] = np.dot(W['ho'], hs[t]) + W['bo']
os[t] = np.tanh(zos[t])
for idx in range(self.heads):
# parameters to the read head
zk_rs[idx][t] =np.dot(W['ok_r' + str(idx)],os[t]) + W['bk_r' + str(idx)]
k_rs[idx][t] = np.tanh(zk_rs[idx][t])
beta_rs[idx][t] = softplus(np.dot(W['obeta_r' + str(idx)],os[t])
+ W['bbeta_r' + str(idx)])
g_rs[idx][t] = sigmoid(np.dot(W['og_r' + str(idx)],os[t]) + W['bg_r' + str(idx)])
s_rs[idx][t] = softmax(np.dot(W['os_r' + str(idx)],os[t]) + W['bs_r' + str(idx)])
gamma_rs[idx][t] = 1 + sigmoid(np.dot(W['ogamma_r' + str(idx)], os[t])
+ W['bgamma_r' + str(idx)])
# parameters to the write head
k_ws[idx][t] = np.tanh(np.dot(W['ok_w' + str(idx)],os[t]) + W['bk_w' + str(idx)])
beta_ws[idx][t] = softplus(np.dot(W['obeta_w' + str(idx)], os[t])
+ W['bbeta_w' + str(idx)])
g_ws[idx][t] = sigmoid(np.dot(W['og_w' + str(idx)],os[t]) + W['bg_w' + str(idx)])
s_ws[idx][t] = softmax(np.dot(W['os_w' + str(idx)],os[t]) + W['bs_w' + str(idx)])
gamma_ws[idx][t] = 1 + sigmoid(np.dot(W['ogamma_w' + str(idx)], os[t])
+ W['bgamma_w' + str(idx)])
# the erase and add vectors
# these are also parameters to the write head
# but they describe "what" is to be written rather than "where"
adds[idx][t] = np.tanh(np.dot(W['oadds' + str(idx)], os[t]) + W['badds' + str(idx)])
erases[idx][t] = sigmoid(np.dot(W['oerases' + str(idx)], os[t]) + W['erases' + str(idx)])
w_ws[idx][t] = addressing.create_weights( k_ws[idx][t]
, beta_ws[idx][t]
, g_ws[idx][t]
, s_ws[idx][t]
, gamma_ws[idx][t]
, w_ws[idx][t-1]
, mems[t-1])
w_rs[idx][t] = addressing.create_weights( k_rs[idx][t]
, beta_rs[idx][t]
, g_rs[idx][t]
, s_rs[idx][t]
, gamma_rs[idx][t]
, w_rs[idx][t-1]
, mems[t-1])
ys[t] = np.dot(W['oy'], os[t]) + W['by']
ps[t] = sigmoid(ys[t])
one = np.ones(ps[t].shape)
ts[t] = np.reshape(np.array(targets[t]),(self.out_size,1))
epsilon = 2**-23 # to prevent log(0)
a = np.multiply(ts[t] , np.log2(ps[t] + epsilon))
b = np.multiply(one - ts[t], np.log2(one-ps[t] + epsilon))
loss = loss - (a + b)
for idx in range(self.heads):
# read from the memory
rs[idx][t] = memory.read(mems[t-1],w_rs[idx][t])
# write into the memory
mems[t] = memory.write(mems[t-1],w_ws[idx][t],erases[idx][t],adds[idx][t])
self.stats = [loss, mems, ps, ys, os, zos, hs, zhs, xs, rs, w_rs, w_ws, adds, erases]
return np.sum(loss)
def loadabs():
ls = m.read(pc + 1)
ms = m.read(pc + 2)
addr = ms << 8 | ls
writeReg(A, m.read(addr))
update(3, 16)
def decat(regs):
addr = readRegs(regs)
value = m.read(addr) - 1
m.write(addr, value)
update(1, 12, zerocheck=value, n=1, h=((value >> 4) & 1))
def savetoIO():
addr = 0xFF00 | readReg(C)
writeReg(A, m.read(addr))
update(1, 8)
def putabs():
ls = m.read(pc + 1)
ms = m.read(pc + 2)
addr = ms << 8 | ls
m.write(addr, readReg(A))
update(3, 16)
def loadfrom(reg, regs):
addr = readRegs(regs)
value = m.read(addr)
writeReg(reg, value)
update(1, 8)
def ldh_ai(value):
addr = 0xFF00 | value
writeReg(A, m.read(addr))
update(2, 12)
def loadi16(toRegs):
value = (m.read(pc + 2) << 8) + (m.read(pc + 1))
writeRegs(toRegs, value)
update(3, 12)
def loadiat(regs):
addr = readRegs(regs)
value = m.read(pc + 1)
m.write(addr, value)
update(2, 12)
def loadi8(toReg):
value = m.read(pc + 1)
writeReg(toReg, value)
update(2, 8)
def printLCD():
print("LY=" + str(hex(m.read(0xff44))),
" LCDC=" + str(hex(m.read(0xff41))))
def printState():
print("{0:#0{1}x}".format(pc, 6), "{0:#0{1}x}".format(m.read(pc), 4))
printRegs()
printFlags()
printLCD()
def getif(interrupt):
return bool(m.read(0xff0f) >> (interrupts[interrupt]) & 1)
0x11: lambda pc: loadi16(DE),
0x12: lambda pc: loadto((DE), A),
0x13: lambda pc: inc16(DE),
0x14: lambda pc: inc8(D),
0x15: lambda pc: dec8(D),
0x16: lambda pc: loadi8(D),
0x17: lambda pc: rla(),
0x18: lambda pc: jumpr(),
0x19: lambda pc: add16s(HL, DE),
0x1a: lambda pc: loadfrom(A, (DE)),
0x1b: lambda pc: dec16(DE),
0x1c: lambda pc: inc8(E),
0x1d: lambda pc: dec8(E),
0x1e: lambda pc: loadi8(E),
0x1f: lambda pc: rra(),
0x20: lambda pc: jumprf(m.read(pc)),
0x21: lambda pc: loadi16(HL),
0x22: lambda pc: loadtoc('+'),
0x23: lambda pc: inc16(HL),
0x24: lambda pc: inc8(H),
0x25: lambda pc: dec8(H),
0x26: lambda pc: loadi8(H),
0x28: lambda pc: jumprf(m.read(pc)),
0x29: lambda pc: add16s(HL, HL),
0x2a: lambda pc: loadfromc('+'),
0x2b: lambda pc: dec16(HL),
0x2c: lambda pc: inc8(L),
0x2d: lambda pc: dec8(L),
0x2e: lambda pc: loadi8(L),
0x2f: lambda pc: cpl(),
0x30: lambda pc: jumprf(m.read(pc)),
