def test_ndim(self):
"""Test that the behaviour of 'ndim' optional parameter"""
# 'ndim' is an optional integer parameter, specifying the length
# of the 'shape', passed as a keyword argument.
# ndim not specified, OK
m1 = Module()
m1.random = RandomStreams(utt.fetch_seed())
m1.fn = Method([], m1.random.uniform((2,2)))
made1 = m1.make()
made1.random.initialize()
# ndim specified, consistent with shape, OK
m2 = Module()
m2.random = RandomStreams(utt.fetch_seed())
m2.fn = Method([], m2.random.uniform((2,2), ndim=2))
made2 = m2.make()
made2.random.initialize()
val1 = made1.fn()
val2 = made2.fn()
assert numpy.all(val1 == val2)
# ndim specified, inconsistent with shape, should raise ValueError
m3 = Module()
m3.random = RandomStreams(utt.fetch_seed())
self.assertRaises(ValueError, m3.random.uniform, (2,2), ndim=1)
def test_ndim(self):
"""Test that the behaviour of 'ndim' optional parameter"""
# 'ndim' is an optional integer parameter, specifying the length
# of the 'shape', passed as a keyword argument.
# ndim not specified, OK
m1 = Module()
m1.random = RandomStreams(utt.fetch_seed())
m1.fn = Method([], m1.random.uniform((2, 2)))
made1 = m1.make()
made1.random.initialize()
# ndim specified, consistent with shape, OK
m2 = Module()
m2.random = RandomStreams(utt.fetch_seed())
m2.fn = Method([], m2.random.uniform((2, 2), ndim=2))
made2 = m2.make()
made2.random.initialize()
val1 = made1.fn()
val2 = made2.fn()
assert numpy.all(val1 == val2)
# ndim specified, inconsistent with shape, should raise ValueError
m3 = Module()
m3.random = RandomStreams(utt.fetch_seed())
self.assertRaises(ValueError, m3.random.uniform, (2, 2), ndim=1)
def test_setitem(self):
m = Module()
m.random = RandomStreams(234)
out = m.random.uniform((2, 2))
m.fn = Method([], out)
made = m.make()
#as a distraction, install various seeds
made.random.initialize(seed=789)
made.random.seed(888)
# then replace the rng of the stream we care about via setitem
realseed = utt.fetch_seed()
rng = numpy.random.RandomState(realseed)
made.random[out.rng] = numpy.random.RandomState(realseed)
print made.fn()
print rng.uniform(size=(2, 2))
fn_val0 = made.fn()
fn_val1 = made.fn()
numpy_val0 = rng.uniform(size=(2, 2))
numpy_val1 = rng.uniform(size=(2, 2))
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_setitem(self):
m = Module()
m.random = RandomStreams(234)
out = m.random.uniform((2,2))
m.fn = Method([], out)
made = m.make()
#as a distraction, install various seeds
made.random.initialize(seed=789)
made.random.seed(888)
# then replace the rng of the stream we care about via setitem
realseed = utt.fetch_seed()
rng = numpy.random.RandomState(realseed)
made.random[out.rng] = numpy.random.RandomState(realseed)
print made.fn()
print rng.uniform(size=(2,2))
fn_val0 = made.fn()
fn_val1 = made.fn()
numpy_val0 = rng.uniform(size=(2,2))
numpy_val1 = rng.uniform(size=(2,2))
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_multiple(self):
M = Module()
M.random = RandomStreams(utt.fetch_seed())
out = M.random.uniform((2, 2))
M.m2 = Module()
M.m2.random = M.random
out2 = M.m2.random.uniform((2, 2))
M.fn = Method([], out)
M.m2.fn2 = Method([], out2)
m = M.make()
m.random.initialize()
m.m2.initialize()
assert m.random is m.m2.random
def test_multiple(self):
M = Module()
M.random = RandomStreams(utt.fetch_seed())
out = M.random.uniform((2,2))
M.m2 = Module()
M.m2.random = M.random
out2 = M.m2.random.uniform((2,2))
M.fn = Method([], out)
M.m2.fn2 = Method([], out2)
m = M.make()
m.random.initialize()
m.m2.initialize()
assert m.random is m.m2.random
def test_multinomial(self):
"""Test that RandomStreams.multinomial generates the same results as numpy"""
# Check over two calls to see if the random state is correctly updated.
m = Module()
m.random = RandomStreams(utt.fetch_seed())
m.fn = Method([], m.random.multinomial((20, 20), 1, [0.1] * 10))
made = m.make()
made.random.initialize()
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
numpy_val0 = rng.multinomial(1, [0.1] * 10, size=(20, 20))
numpy_val1 = rng.multinomial(1, [0.1] * 10, size=(20, 20))
assert numpy.all(fn_val0 == numpy_val0)
assert numpy.all(fn_val1 == numpy_val1)
def test_normal(self):
"""Test that RandomStreams.normal generates the same results as numpy"""
# Check over two calls to see if the random state is correctly updated.
m = Module()
m.random = RandomStreams(utt.fetch_seed())
m.fn = Method([], m.random.normal((2, 2), -1, 2))
made = m.make()
made.random.initialize()
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
numpy_val0 = rng.normal(-1, 2, size=(2, 2))
numpy_val1 = rng.normal(-1, 2, size=(2, 2))
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_multinomial(self):
"""Test that RandomStreams.multinomial generates the same results as numpy"""
# Check over two calls to see if the random state is correctly updated.
m = Module()
m.random = RandomStreams(utt.fetch_seed())
m.fn = Method([], m.random.multinomial((20,20), 1, [0.1]*10))
made = m.make()
made.random.initialize()
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
numpy_val0 = rng.multinomial(1, [0.1]*10, size=(20,20))
numpy_val1 = rng.multinomial(1, [0.1]*10, size=(20,20))
assert numpy.all(fn_val0 == numpy_val0)
assert numpy.all(fn_val1 == numpy_val1)
def test_normal(self):
"""Test that RandomStreams.normal generates the same results as numpy"""
# Check over two calls to see if the random state is correctly updated.
m = Module()
m.random = RandomStreams(utt.fetch_seed())
m.fn = Method([], m.random.normal((2,2), -1, 2))
made = m.make()
made.random.initialize()
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
numpy_val0 = rng.normal(-1, 2, size=(2,2))
numpy_val1 = rng.normal(-1, 2, size=(2,2))
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_getitem(self):
m = Module()
m.random = RandomStreams(234)
out = m.random.uniform((2, 2))
m.fn = Method([], out)
made = m.make()
made.random.initialize(seed=789)
made.random.seed(utt.fetch_seed())
rng = numpy.random.RandomState()
rng.set_state(made.random[out.rng].get_state())
fn_val0 = made.fn()
fn_val1 = made.fn()
numpy_val0 = rng.uniform(size=(2, 2))
numpy_val1 = rng.uniform(size=(2, 2))
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_seed_in_initialize(self):
m = Module()
m.random = RandomStreams(234)
m.fn = Method([], m.random.uniform((2, 2)))
made = m.make()
made.random.initialize(seed=utt.fetch_seed())
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
#print fn_val0
numpy_val0 = rng.uniform(size=(2, 2))
numpy_val1 = rng.uniform(size=(2, 2))
#print numpy_val0
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_getitem(self):
m = Module()
m.random = RandomStreams(234)
out = m.random.uniform((2,2))
m.fn = Method([], out)
made = m.make()
made.random.initialize(seed=789)
made.random.seed(utt.fetch_seed())
rng = numpy.random.RandomState()
rng.set_state(made.random[out.rng].get_state())
fn_val0 = made.fn()
fn_val1 = made.fn()
numpy_val0 = rng.uniform(size=(2,2))
numpy_val1 = rng.uniform(size=(2,2))
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_seed_in_initialize(self):
m = Module()
m.random = RandomStreams(234)
m.fn = Method([], m.random.uniform((2,2)))
made = m.make()
made.random.initialize(seed=utt.fetch_seed())
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
#print fn_val0
numpy_val0 = rng.uniform(size=(2,2))
numpy_val1 = rng.uniform(size=(2,2))
#print numpy_val0
assert numpy.allclose(fn_val0, numpy_val0)
assert numpy.allclose(fn_val1, numpy_val1)
def test_permutation(self):
"""Test that RandomStreams.permutation generates the same results as numpy"""
# Check over two calls to see if the random state is correctly updated.
m = Module()
m.random = RandomStreams(utt.fetch_seed())
m.fn = Method([], m.random.permutation((20, ), 10))
made = m.make()
made.random.initialize()
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
# rng.permutation outputs one vector at a time, so we iterate.
numpy_val0 = numpy.asarray([rng.permutation(10) for i in range(20)])
numpy_val1 = numpy.asarray([rng.permutation(10) for i in range(20)])
assert numpy.all(fn_val0 == numpy_val0)
assert numpy.all(fn_val1 == numpy_val1)
def test_permutation(self):
"""Test that RandomStreams.permutation generates the same results as numpy"""
# Check over two calls to see if the random state is correctly updated.
m = Module()
m.random = RandomStreams(utt.fetch_seed())
m.fn = Method([], m.random.permutation((20,), 10))
made = m.make()
made.random.initialize()
fn_val0 = made.fn()
fn_val1 = made.fn()
rng_seed = numpy.random.RandomState(utt.fetch_seed()).randint(2**30)
rng = numpy.random.RandomState(int(rng_seed)) #int() is for 32bit
# rng.permutation outputs one vector at a time, so we iterate.
numpy_val0 = numpy.asarray([rng.permutation(10) for i in range(20)])
numpy_val1 = numpy.asarray([rng.permutation(10) for i in range(20)])
assert numpy.all(fn_val0 == numpy_val0)
assert numpy.all(fn_val1 == numpy_val1)