Ejemplo n.º 1
0
def prefixcb(op):
    oprd = operand(op)
    value = readReg(oprd) if type(oprd) == int else m.read(readRegs(HL))
    newvalue = None

    if op & 0b11111000 == 0:
        newvalue = rlc(value)
    elif op & 0b11111000 == 8:
        newvalue = rrc(value)
    elif op & 0b11111000 == 16:
        newvalue = rl(value)
    elif op & 0b11111000 == 24:
        newvalue = rr(value)
    elif op & 0b11111000 == 32:
        newvalue = sla(value)
    elif op & 0b11111000 == 40:
        newvalue = sra(value)
    elif op & 0b11111000 == 48:
        newvalue = swap(value)
    elif op & 0b11111000 == 56:
        newvalue = srl(value)
    elif op & 0b11000000 == 64:
        bit(value, op)
    elif op & 0b11000000 == 128:
        newvalue = reset(value, op)
    elif op & 0b11000000 == 192:
        newvalue = gset(value, op)

    if newvalue != None:
        if type(oprd) == int:
            writeReg(oprd, newvalue)
        else:
            update(0, 8)  # additional 8 cycles for writing to (HL)
            m.write(readRegs(HL), newvalue)
Ejemplo n.º 2
0
 def loadMemory(self):
     memFile = 'history/' + self.game["challenger"] + '.mem'
     try:
         with open(memFile):
             self.mem = memory.load(memFile)
     except IOError: # Create it
         memory.write(self.mem, memFile)
Ejemplo n.º 3
0
def loadtoc(change):
    assert change == '+' or change == '-'
    addr = readRegs(HL)
    value = readReg(A)
    m.write(addr, value)

    if change == '+':
        inc16(HL)
    elif change == '-':
        dec16(HL)
Ejemplo n.º 4
0
    def update(self, cycle):
        if cycle - self.last_update > 456:
            m.write(LY, (m.read(LY) + 1) % 154)
            line = m.read(LY)

            self.last_update = cycle - cycle % 456

            self.draw_line(line)

            if line == 153:
                try:
                    self.queue.get_nowait()
                except Exception:
                    self.queue.put(self.lcd)
Ejemplo n.º 5
0
 def writeMemory(self):
     memFile = 'history/' + self.game["challenger"] + '.mem'
     memory.write(self.mem, memFile)
Ejemplo n.º 6
0
    def fprop(params):
      """
      Forward pass of the NTM.
      """

      W = params # aliasing for brevity

      xs, hs, ys, ps, ts, os = {}, {}, {}, {}, {}, {}

      def l():
        """
        Silly utility function that should be called in init.
        """
        return [{} for _ in xrange(self.heads)]

      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)))
        hs[t] = np.tanh(np.dot(W['xh'], xs[t]) + rsum + W['bh'])

        os[t] = np.tanh(np.dot(W['ho'], hs[t]) + W['bo'])


        for idx in range(self.heads):
          # parameters to the read head
          k_rs[idx][t] = np.tanh(np.dot(W['ok_r' + str(idx)],os[t]) + W['bk_r' + str(idx)])
          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, ps, w_rs, w_ws, adds, erases]
      return np.sum(loss)
Ejemplo n.º 7
0
    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)
Ejemplo n.º 8
0
def pushc(value):
    writeRegs(SP, readRegs(SP) - 2)
    addr = readRegs(SP)
    # BUG: should maybe be the other way around
    m.write(addr, value & 255)
    m.write(addr + 1, value >> 8)
Ejemplo n.º 9
0
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))
Ejemplo n.º 10
0
def putabs():
    ls = m.read(pc + 1)
    ms = m.read(pc + 2)
    addr = ms << 8 | ls
    m.write(addr, readReg(A))
    update(3, 16)
Ejemplo n.º 11
0
def loadfromIO():
    addr = 0xFF00 | readReg(C)
    m.write(addr, readReg(A))
    update(1, 8)
Ejemplo n.º 12
0
def ldh_ia(value):
    addr = 0xFF00 | value
    m.write(addr, readReg(A))

    update(2, 12)
Ejemplo n.º 13
0
def loadto(regs, reg):
    addr = readRegs(regs)
    value = readReg(reg)
    m.write(addr, value)

    update(1, 8)
Ejemplo n.º 14
0
def loadiat(regs):
    addr = readRegs(regs)
    value = m.read(pc + 1)
    m.write(addr, value)

    update(2, 12)