def render(self, trans, update):
env = self.realm.world.env
tiles = env.tiles
R, C = tiles.shape
counts = np.array([tile.counts for tile in tiles.ravel()])
nCounts = counts.shape[1]
counts = counts.reshape(R, C, counts.shape[1])
counts = [counts[:, :, i] for i in range(counts.shape[2])]
if nCounts <= 12:
colors = Neon.color12()
else:
colors = Color256.colors[0::256 // nCounts]
for idx, count in enumerate(counts):
counts[idx] = 20 * counts[idx][:, :, np.newaxis] * np.array(
colors[idx].value) / 255.0
sumCounts = sum(counts)
R, C, _ = sumCounts.shape
counts = np.clip(sumCounts, 0, 255).astype(np.uint8)
counts = np.clip(counts, 0, 255).astype(np.uint8)
valCrop, txSz = embyr.mapCrop(self, counts, self.tileSz, trans)
txSz = embyr.mipKey(txSz, self.mipLevels)
embyr.renderMap(self, valCrop, txSz)
return self.surf
def visDeps(self):
from forge.blade.core import realm
from forge.blade.core.tile import Tile
colorInd = int(self.config.NPOP * np.random.rand())
color = Neon.color12()[colorInd]
color = (colorInd, color)
ent = realm.Desciple(-1, self.config, color).server
targ = realm.Desciple(-1, self.config, color).server
sz = 15
tiles = np.zeros((sz, sz), dtype=object)
for r in range(sz):
for c in range(sz):
tiles[r, c] = Tile(enums.Grass, r, c, 1, None)
targ.pos = (7, 7)
tiles[7, 7].addEnt(0, targ)
posList, vals = [], []
for r in range(sz):
for c in range(sz):
ent.pos = (r, c)
tiles[r, c].addEnt(1, ent)
#_, _, val = self.net(tiles, ent)
val = np.random.rand()
vals.append(float(val))
tiles[r, c].delEnt(1)
posList.append((r, c))
vals = list(zip(posList, vals))
return vals
def visVals(self, food='max', water='max'):
from forge.blade.core import realm
posList, vals = [], []
R, C = self.world.shape
for r in range(self.config.BORDER, R - self.config.BORDER):
for c in range(self.config.BORDER, C - self.config.BORDER):
colorInd = int(self.config.NPOP * np.random.rand())
color = Neon.color12()[colorInd]
color = (colorInd, color)
ent = entity.Player(-1, color, self.config)
ent._r.update(r)
ent._c.update(c)
if food != 'max':
ent._food = food
if water != 'max':
ent._water = water
posList.append(ent.pos)
self.world.env.tiles[r, c].addEnt(ent.entID, ent)
stim = self.world.env.stim(ent.pos, self.config.STIM)
#_, _, val = self.net(stim, ent)
val = np.random.rand()
self.world.env.tiles[r, c].delEnt(ent.entID)
vals.append(float(val))
vals = list(zip(posList, vals))
return vals
def plots(logs):
colors = Neon.color12()
logs = reversed([e for e in logs.items()])
for idx, kv in enumerate(logs):
k, v = kv
color = colors[idx].norm
plot(v, k, color)
def visVals(self, food='max', water='max'):
posList, vals = [], []
R, C = self.world.shape
for r in range(self.config.BORDER, R - self.config.BORDER):
for c in range(self.config.BORDER, C - self.config.BORDER):
colorInd = int(12 * np.random.rand())
color = Neon.color12()[colorInd]
color = (colorInd, color)
ent = entity.Player(-1, color, self.config)
ent._pos = (r, c)
if food != 'max':
ent._food = food
if water != 'max':
ent._water = water
posList.append(ent.pos)
self.world.env.tiles[r, c].addEnt(ent.entID, ent)
stim = self.world.env.stim(ent.pos, self.config.STIM)
s = torchlib.Stim(ent, stim, self.config)
val = self.valNet(s).detach()
self.world.env.tiles[r, c].delEnt(ent.entID)
vals.append(float(val))
vals = list(zip(posList, vals))
return vals
def plot(x, idxs, label, idx, path):
colors = Neon.color12()
loglib.dark()
c = colors[idx % 12]
loglib.plot(x, inds=idxs, label=str(idx), c=c.norm)
loglib.godsword()
loglib.save(path + label + '.png')
plt.close()
def plots(x, label, idx, path, split):
colors = Neon.color12()
loglib.dark()
for idx, item in enumerate(x.items()):
annID, val = item
c = colors[idx % 12]
idxs, val = compress(val, split)
loglib.plot(val, inds=idxs, label=str(annID), c=c.norm)
loglib.godsword()
loglib.save(path + label + '.png')
plt.close()
def agents():
exps = list(experiments.exps.keys())
loglib.dark()
colors = Neon.color12()
maxVal = 0
for idx, exp in enumerate(exps):
name, log = exp
c = colors[idx]
loglib.plot(log['lifespan'], name, c.norm)
maxVal = max(maxVal, np.max(log['lifespan']))
loglib.limits(ylims=[0, 50*(1+maxVal//50)])
loglib.godsword()
loglib.save(logDir+'/agents.png')
plt.close()
def joints(exps):
print('Joints...')
keys = reversed('return lifespan value value_loss pg_loss entropy grad_mean grad_std grad_min grad_max'.split())
colors = Neon.color12()
for key in keys:
loglib.dark()
maxVal = 0
for idx, dat in enumerate(exps):
name, _, log = dat
loglib.plot(log[key], name, colors[idx].norm, lw=3)
maxVal = max(maxVal, np.max(log[key]))
loglib.limits(ylims=[0, 50*(1+maxVal//50)])
loglib.godsword()
loglib.save(logDir+'joint/'+key)
plt.close()
def __init__(self, ent):
self.ent = ent
self.frame = 0
#self.pos = ent.lastPos
#self.newPos = ent.pos
self.lastPos = ent.lastPos
if not ent.alive:
self.lastPos = ent.pos
r, c = self.lastPos
self.posAnim = self.lastPos
rNew, cNew = self.ent.pos
self.rOff, self.cOff = np.sign(rNew - r), np.sign(cNew - c)
#self.targ = ent.attack.args
nNames = len(names)
self.entName = names[int(ent.entID) % nNames]
self.nameColor = Neon.color12()[int(ent.entID) % 12]
def gen_plot(log, keys, savename, train=True):
loglib.dark()
if len(keys) > 12:
colors = Color256.colors
else:
colors = Neon.color12()
pops = []
for i, key in enumerate(keys):
c = colors[i]
if not train:
log[key] = np.cumsum(np.array(log[key])) / (1+np.arange(len(log[key])))
if i == 0:
loglib.plot(log[key], key, (1.0, 0, 0))
else:
loglib.plot(log[key], key, c.norm)
loglib.godsword()
loglib.save(savename)
plt.close()
def individual(log, label, npop, logDir='resource/data/exps/', train=True):
if train:
split = 'train'
else:
split = 'test'
savedir = osp.join(logDir, label, split)
if not osp.exists(savedir):
os.makedirs(savedir)
if len(log['return']) > 0:
loglib.dark()
keys = reversed('return lifespan value value_loss pg_loss entropy grad_mean grad_std grad_min grad_max'.split())
colors = Neon.color12()
fName = 'frag.png'
for idx, key in enumerate(keys):
if idx == 0:
c = colors[idx]
loglib.plot(log[key], key, (1.0, 0, 0))
else:
c = colors[idx]
loglib.plot(log[key], key, c.norm)
maxLife = np.max(log['return'])
loglib.limits(ylims=[0, 50*(1+maxLife//50)])
loglib.godsword()
savepath = osp.join(logDir, label, split, fName)
loglib.save(savepath)
print(savepath)
plt.close()
# Construct population specific code
pop_mean_keys = ['lifespan{}_mean'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_mean.png')
gen_plot(log, pop_mean_keys, savefile, train=train)
# Per population movement probability
pop_move_keys = ['pop{}_move'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_move.png')
gen_plot(log, pop_move_keys, savefile, train=train)
# Attack probability plots
pop_move_keys = ['pop{}_range'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_range.png')
gen_plot(log, pop_move_keys, savefile, train=train)
pop_move_keys = ['pop{}_melee'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_melee.png')
gen_plot(log, pop_move_keys, savefile, train=train)
pop_move_keys = ['pop{}_mage'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_mage.png')
gen_plot(log, pop_move_keys, savefile, train=train)
# Movement tile entropy
pop_move_keys = ['pop{}_entropy'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_move_entropy.png')
gen_plot(log, pop_move_keys, savefile, train=train)
# Population attack probabilities when action is selected
pop_move_keys = ['pop{}_melee_logit'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_melee_logit.png')
gen_plot(log, pop_move_keys, savefile, train=train)
pop_move_keys = ['pop{}_range_logit'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_range_logit.png')
gen_plot(log, pop_move_keys, savefile, train=train)
pop_move_keys = ['pop{}_mage_logit'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_mage_logit.png')
gen_plot(log, pop_move_keys, savefile, train=train)
# Sum up all the logits to check if they actually sum to zero
for i in range(npop):
logit_sum = np.array(log['pop{}_melee_logit'.format(i)]) + np.array(log['pop{}_range_logit'.format(i)]) + np.array(log['pop{}_mage_logit'.format(i)])
log['pop{}_sum_logit'.format(i)] = logit_sum
pop_move_keys = ['pop{}_sum_logit'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_sum_logit.png')
gen_plot(log, pop_move_keys, savefile, train=train)
# Tile exploration statistics
pop_move_keys = ['pop{}_grass_tiles'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_grass_tiles.png')
gen_plot(log, pop_move_keys, savefile, train=train)
pop_move_keys = ['pop{}_forest_tiles'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_forest_tiles.png')
gen_plot(log, pop_move_keys, savefile, train=train)
pop_move_keys = ['pop{}_forest_tiles_depleted'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_forest_depleted.png')
gen_plot(log, pop_move_keys, savefile, train=train)
# pop_move_keys = ['pop{}_forest_tiles_other'.format(i) for i in range(npop)]
# savefile = osp.join(logDir, label, 'pop_forest_tiles_other.png')
# gen_plot(log, pop_move_keys, savefile, train=train)
for i in range(npop):
forest_tiles = np.array(log['pop{}_forest_tiles'.format(i)])
other_tiles = np.array(log['pop{}_grass_tiles'.format(i)]) + np.array(log['pop{}_forest_tiles_depleted'.format(i)]) + forest_tiles
forage_percent = forest_tiles / other_tiles
log['pop{}_forage_success'.format(i)] = forage_percent
pop_move_keys = ['pop{}_forage_success'.format(i) for i in range(npop)]
savefile = osp.join(logDir, label, split, 'pop_forage_success.png')
gen_plot(log, pop_move_keys, savefile, train=train)
def __init__(self, config):
self.index = config.PATH_THEME_WEB
self.colors = Neon.color12()
