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Copy pathsymmetries.py
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84 lines (67 loc) · 2.13 KB
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# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import functools
import random
import go
import numpy as np
"""
Allowable symmetries:
identity [12][34]
rot90 [24][13]
rot180 [43][21]
rot270 [31][42]
flip [13][24]
fliprot90 [34][12]
fliprot180 [42][31]
fliprot270 [21][43]
"""
INVERSES = {
'identity': 'identity',
'rot90': 'rot270',
'rot180': 'rot180',
'rot270': 'rot90',
'flip': 'flip',
'fliprot90': 'fliprot90',
'fliprot180': 'fliprot180',
'fliprot270': 'fliprot270',
}
IMPLS = {
'identity': lambda x: x,
'rot90': np.rot90,
'rot180': functools.partial(np.rot90, k=2),
'rot270': functools.partial(np.rot90, k=3),
'flip': lambda x: np.rot90(np.fliplr(x)),
'fliprot90': np.flipud,
'fliprot180': lambda x: np.rot90(np.flipud(x)),
'fliprot270': np.fliplr,
}
assert set(INVERSES.keys()) == set(IMPLS.keys())
SYMMETRIES = list(INVERSES.keys())
# A symmetry is just a string describing the transformation.
def invert_symmetry(s):
return INVERSES[s]
def apply_symmetry_feat(s, features):
return IMPLS[s](features)
def apply_symmetry_pi(s, pi):
pi = np.copy(pi)
# rotate all moves except for the pass move at end
pi[:-1] = IMPLS[s](pi[:-1].reshape([go.N, go.N])).ravel()
return pi
def randomize_symmetries_feat(features):
symmetries_used = [random.choice(SYMMETRIES) for _ in features]
return symmetries_used, [apply_symmetry_feat(s, f)
for s, f in zip(symmetries_used, features)]
def invert_symmetries_pi(symmetries, pis):
return [apply_symmetry_pi(invert_symmetry(s), pi)
for s, pi in zip(symmetries, pis)]