本文整理汇总了Python中theano.ifelse函数的典型用法代码示例。如果您正苦于以下问题：Python ifelse函数的具体用法？Python ifelse怎么用？Python ifelse使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了ifelse函数的19个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。
示例1: test_pushout1
def test_pushout1(self):
raise SkipTest("Optimization temporarily disabled")
x1 = tensor.scalar('x1')
x2 = tensor.scalar('x2')
y1 = tensor.scalar('y1')
y2 = tensor.scalar('y2')
w1 = tensor.scalar('w1')
w2 = tensor.scalar('w2')
c = tensor.iscalar('c')
x, y = ifelse(c, (x1, y1), (x2, y2), name='f1')
z = ifelse(c, w1, w2, name='f2')
out = x * z * y
f = theano.function([x1, x2, y1, y2, w1, w2, c], out,
allow_input_downcast=True)
assert isinstance(f.maker.fgraph.toposort()[-1].op, IfElse)
rng = numpy.random.RandomState(utt.fetch_seed())
vx1 = rng.uniform()
vx2 = rng.uniform()
vy1 = rng.uniform()
vy2 = rng.uniform()
vw1 = rng.uniform()
vw2 = rng.uniform()
assert numpy.allclose(f(vx1, vx2, vy1, vy2, vw1, vw2, 1),
vx1 * vy1 * vw1)
assert numpy.allclose(f(vx1, vx2, vy1, vy2, vw1, vw2, 0),
vx2 * vy2 * vw2)
开发者ID:aboSamoor，项目名称:Theano，代码行数:28，代码来源:test_ifelse.py
示例2: test_pushout2
def test_pushout2(self):
raise SkipTest("Optimization temporarily disabled")
x1 = tensor.scalar("x1")
x2 = tensor.scalar("x2")
y1 = tensor.scalar("y1")
y2 = tensor.scalar("y2")
w1 = tensor.scalar("w1")
w2 = tensor.scalar("w2")
c = tensor.iscalar("c")
x, y = ifelse(c, (x1, y1), (x2, y2), name="f1")
z = ifelse(x > y, w1, w2, name="f2")
out = x * z * y
f = theano.function([x1, x2, y1, y2, w1, w2, c], out, allow_input_downcast=True)
assert isinstance(f.maker.fgraph.toposort()[-1].op, IfElse)
rng = numpy.random.RandomState(utt.fetch_seed())
vx1 = rng.uniform()
vx2 = rng.uniform()
vy1 = rng.uniform()
vy2 = rng.uniform()
vw1 = rng.uniform()
vw2 = rng.uniform()
if vx1 > vy1:
vw = vw1
else:
vw = vw2
assert numpy.allclose(f(vx1, vx2, vy1, vy2, vw1, vw2, 1), vx1 * vy1 * vw)
if vx2 > vy2:
vw = vw1
else:
vw = vw2
assert numpy.allclose(f(vx1, vx2, vy1, vy2, vw1, vw2, 0), vx2 * vy2 * vw)
开发者ID:cfsmile，项目名称:Theano，代码行数:33，代码来源:test_ifelse.py
示例3: test_merge_ifs_true_false
def test_merge_ifs_true_false(self):
raise SkipTest("Optimization temporarily disabled")
x1 = tensor.scalar('x1')
x2 = tensor.scalar('x2')
y1 = tensor.scalar('y1')
y2 = tensor.scalar('y2')
w1 = tensor.scalar('w1')
w2 = tensor.scalar('w2')
c = tensor.iscalar('c')
out = ifelse(c,
ifelse(c, x1, x2) + ifelse(c, y1, y2) + w1,
ifelse(c, x1, x2) + ifelse(c, y1, y2) + w2)
f = theano.function([x1, x2, y1, y2, w1, w2, c], out,
allow_input_downcast=True)
assert len([x for x in f.maker.fgraph.toposort()
if isinstance(x.op, IfElse)]) == 1
rng = numpy.random.RandomState(utt.fetch_seed())
vx1 = rng.uniform()
vx2 = rng.uniform()
vy1 = rng.uniform()
vy2 = rng.uniform()
vw1 = rng.uniform()
vw2 = rng.uniform()
assert numpy.allclose(f(vx1, vx2, vy1, vy2, vw1, vw2, 1),
vx1 + vy1 + vw1)
assert numpy.allclose(f(vx1, vx2, vy1, vy2, vw1, vw2, 0),
vx2 + vy2 + vw2)
开发者ID:aboSamoor，项目名称:Theano，代码行数:29，代码来源:test_ifelse.py
示例4: test_merge
def test_merge(self):
raise SkipTest("Optimization temporarily disabled")
x = tensor.vector("x")
y = tensor.vector("y")
c = tensor.iscalar("c")
z1 = ifelse(c, x + 1, y + 1)
z2 = ifelse(c, x + 2, y + 2)
z = z1 + z2
f = theano.function([c, x, y], z)
assert len([n for n in f.maker.fgraph.toposort() if isinstance(n.op, IfElse)]) == 1
开发者ID:cfsmile，项目名称:Theano，代码行数:10，代码来源:test_ifelse.py
示例5: test_merge
def test_merge(self):
raise SkipTest("Optimization temporarily disabled")
x = tensor.vector('x')
y = tensor.vector('y')
c = tensor.iscalar('c')
z1 = ifelse(c, x + 1, y + 1)
z2 = ifelse(c, x + 2, y + 2)
z = z1 + z2
f = theano.function([c, x, y], z)
assert len([x for x in f.maker.env.toposort()
if isinstance(x.op, IfElse)]) == 1
开发者ID:gexarcha，项目名称:Theano，代码行数:11，代码来源:test_ifelse.py
示例6: test_multiple_out
def test_multiple_out(self):
x1 = tensor.vector('x1', dtype=self.dtype)
x2 = tensor.vector('x2', dtype=self.dtype)
y1 = tensor.vector('y1', dtype=self.dtype)
y2 = tensor.vector('y2', dtype=self.dtype)
c = tensor.iscalar('c')
z = ifelse(c, (x1, x2), (y1, y2))
f = theano.function([c, x1, x2, y1, y2], z, mode=self.mode)
self.assertFunctionContains1(f, self.get_ifelse(2))
ifnode = [x for x in f.maker.fgraph.toposort()
if isinstance(x.op, IfElse)][0]
assert len(ifnode.outputs) == 2
rng = numpy.random.RandomState(utt.fetch_seed())
x1len = rng.randint(200)
x2len = rng.randint(200)
y1len = rng.randint(200)
y2len = rng.randint(200)
vx1 = numpy.asarray(rng.uniform(size=(x1len,)), self.dtype)
vx2 = numpy.asarray(rng.uniform(size=(x2len,)), self.dtype)
vy1 = numpy.asarray(rng.uniform(size=(y1len,)), self.dtype)
vy2 = numpy.asarray(rng.uniform(size=(y2len,)), self.dtype)
ovx1, ovx2 = f(1, vx1, vx2, vy1, vy2)
ovy1, ovy2 = f(0, vx1, vx2, vy1, vy2)
assert numpy.allclose(vx1, ovx1)
assert numpy.allclose(vy1, ovy1)
assert numpy.allclose(vx2, ovx2)
assert numpy.allclose(vy2, ovy2)
开发者ID:aboSamoor，项目名称:Theano，代码行数:32，代码来源:test_ifelse.py
示例7: test_grad_lazy_if
def test_grad_lazy_if(self):
# Tests that we can compute the gradients through lazy if
x = tensor.vector('x', dtype=self.dtype)
y = tensor.vector('y', dtype=self.dtype)
c = tensor.iscalar('c')
z = ifelse(c, x, y)
gx, gy = tensor.grad(z.sum(), [x, y])
f = theano.function([c, x, y], [self.cast_output(gx),
self.cast_output(gy)],
mode=self.mode)
# There is only 2 of the 3 ifelse that are moved on the GPU.
# The one that stay on the CPU is for the shape.
self.assertFunctionContains(f, self.get_ifelse(1), min=2, max=3)
rng = numpy.random.RandomState(utt.fetch_seed())
xlen = rng.randint(200)
ylen = rng.randint(200)
vx = numpy.asarray(rng.uniform(size=(xlen,)), self.dtype)
vy = numpy.asarray(rng.uniform(size=(ylen,)), self.dtype)
gx0, gy0 = f(1, vx, vy)
assert numpy.allclose(gx0.shape, vx.shape)
assert numpy.allclose(gy0.shape, vy.shape)
assert numpy.all(numpy.asarray(gx0) == 1.)
assert numpy.all(numpy.asarray(gy0) == 0.)
gx0, gy0 = f(0, vx, vy)
assert numpy.allclose(gx0.shape, vx.shape)
assert numpy.allclose(gy0.shape, vy.shape)
assert numpy.all(numpy.asarray(gx0) == 0.)
assert numpy.all(numpy.asarray(gy0) == 1.)
开发者ID:aboSamoor，项目名称:Theano，代码行数:32，代码来源:test_ifelse.py
示例8: test_mixed_dtype
def test_mixed_dtype(self):
x1 = tensor.vector('x1', dtype='int32')
x2 = tensor.vector('x2', dtype=self.dtype)
y1 = tensor.vector('y1', dtype='int32')
y2 = tensor.vector('y2', dtype=self.dtype)
c = tensor.iscalar('c')
f = theano.function([c, x1, x2, y1, y2],
ifelse(c, (x1, x2), (y1, y2)), mode=self.mode)
self.assertFunctionContains1(f, self.get_ifelse(2))
rng = numpy.random.RandomState(utt.fetch_seed())
xlen = rng.randint(200)
ylen = rng.randint(200)
vx1 = numpy.asarray(rng.uniform(size=(xlen,)) * 3, 'int32')
vx2 = numpy.asarray(rng.uniform(size=(xlen,)), self.dtype)
vy1 = numpy.asarray(rng.uniform(size=(ylen,)) * 3, 'int32')
vy2 = numpy.asarray(rng.uniform(size=(ylen,)), self.dtype)
o1, o2 = f(1, vx1, vx2, vy1, vy2)
assert numpy.allclose(vx1, o1)
assert numpy.allclose(vx2, o2)
o1, o2 = f(0, vx1, vx2, vy1, vy2)
assert numpy.allclose(vy1, o1)
assert numpy.allclose(vy2, o2)
开发者ID:MarcCote，项目名称:Theano，代码行数:26，代码来源:test_ifelse.py
示例9: test_multiple_out_grad
def test_multiple_out_grad(self):
# Tests that we can compute the gradients through lazy if
x1 = tensor.vector('x1')
x2 = tensor.vector('x2')
y1 = tensor.vector('y1')
y2 = tensor.vector('y2')
c = tensor.iscalar('c')
z = ifelse(c, (x1, x2), (y1, y2))
grads = tensor.grad(z[0].sum() + z[1].sum(),
[x1, x2, y1, y2])
f = theano.function([c, x1, x2, y1, y2], grads)
rng = numpy.random.RandomState(utt.fetch_seed())
lens = [rng.randint(200) for i in range(4)]
values = [numpy.asarray(rng.uniform(size=(l,)), theano.config.floatX)
for l in lens]
outs_1 = f(1, *values)
assert all([x.shape[0] == y for x, y in zip(outs_1, lens)])
assert numpy.all(outs_1[0] == 1.)
assert numpy.all(outs_1[1] == 1.)
assert numpy.all(outs_1[2] == 0.)
assert numpy.all(outs_1[3] == 0.)
outs_0 = f(0, *values)
assert all([x.shape[0] == y for x, y in zip(outs_1, lens)])
assert numpy.all(outs_0[0] == 0.)
assert numpy.all(outs_0[1] == 0.)
assert numpy.all(outs_0[2] == 1.)
assert numpy.all(outs_0[3] == 1.)
开发者ID:aboSamoor，项目名称:Theano，代码行数:30，代码来源:test_ifelse.py
示例10: test_not_lazy_if_inplace
def test_not_lazy_if_inplace(self):
# Tests that if the outputs are scalars and the graph is big,
# we disable the inplace opt to speed up optimization
x = tensor.vector('x', dtype=self.dtype)
y = tensor.vector('y', dtype=self.dtype)
c = tensor.iscalar('c')
mode = theano.compile.get_mode(self.mode).excluding(
# Disable many opt to keep the graph big enough to disable
# the opt.
'fusion', 'local_add_canonizer',
'inplace', 'constant_folding', 'constant_folding')
y2 = reduce(lambda x, y: x + y, [y] + list(range(200)))
f = theano.function([c, x, y], ifelse(c, x, y2), mode=mode)
# For not inplace ifelse
ifnode = [n for n in f.maker.fgraph.toposort()
if isinstance(n.op, IfElse)]
assert len(ifnode) == 1
assert not ifnode[0].op.as_view
rng = numpy.random.RandomState(utt.fetch_seed())
xlen = rng.randint(200)
ylen = rng.randint(200)
vx = numpy.asarray(rng.uniform(size=(xlen,)), self.dtype)
vy = numpy.asarray(rng.uniform(size=(ylen,)), self.dtype)
assert numpy.allclose(vx, f(1, vx, vy))
assert numpy.allclose(vy + sum(range(200)), f(0, vx, vy))
开发者ID:MarcCote，项目名称:Theano，代码行数:28，代码来源:test_ifelse.py
示例11: test_grad_cast_input
def test_grad_cast_input(self):
# Tests the gradient when both inputs are on the GPU.
x = tensor.vector('x', dtype=self.dtype)
y = tensor.vector('y', dtype=self.dtype)
c = tensor.iscalar('c')
z = ifelse(c, self.cast_output(x), self.cast_output(y))
gx, gy = tensor.grad(z.sum(), [x, y])
theano.function([c, x, y], [gx, gy],
mode=self.mode)
开发者ID:MarcCote，项目名称:Theano，代码行数:10，代码来源:test_ifelse.py
示例12: test_lazy_if_on_generics
def test_lazy_if_on_generics(self):
x = theano.generic()
y = theano.generic()
c = tensor.iscalar('c')
f = theano.function([c, x, y], ifelse(c, x, y))
vx = ['testX']
vy = ['testY']
assert f(1, vx, vy) == vx
assert f(0, vx, vy) == vy
开发者ID:aboSamoor，项目名称:Theano，代码行数:10，代码来源:test_ifelse.py
示例13: test_remove_useless_inputs1
def test_remove_useless_inputs1(self):
raise SkipTest("Optimization temporarily disabled")
x = tensor.vector("x")
y = tensor.vector("y")
c = tensor.iscalar("c")
z = ifelse(c, (x, x), (y, y))
f = theano.function([c, x, y], z)
ifnode = [n for n in f.maker.fgraph.toposort() if isinstance(n.op, IfElse)][0]
assert len(ifnode.inputs) == 3
开发者ID:cfsmile，项目名称:Theano，代码行数:10，代码来源:test_ifelse.py
示例14: test_remove_useless_inputs1
def test_remove_useless_inputs1(self):
raise SkipTest("Optimization temporarily disabled")
x = tensor.vector('x')
y = tensor.vector('y')
c = tensor.iscalar('c')
z = ifelse(c, (x, x), (y, y))
f = theano.function([c, x, y], z)
ifnode = [x for x in f.maker.env.toposort()
if isinstance(x.op, IfElse)][0]
assert len(ifnode.inputs) == 3
开发者ID:gexarcha，项目名称:Theano，代码行数:11，代码来源:test_ifelse.py
示例15: test_grad_test_values
def test_grad_test_values(self):
# Regression test for test values of `ifelse` gradient.
backup = theano.config.compute_test_value
theano.config.compute_test_value = 'raise'
try:
x = tensor.scalar('x')
x.tag.test_value = 1
# Used to crash due to undefined test value.
tensor.grad(ifelse(0, x, x), x)
finally:
theano.config.compute_test_value = backup
开发者ID:DEVESHTARASIA，项目名称:Theano，代码行数:12，代码来源:test_ifelse.py
示例16: test_remove_useless_inputs2
def test_remove_useless_inputs2(self):
raise SkipTest("Optimization temporarily disabled")
x1 = tensor.vector("x1")
x2 = tensor.vector("x2")
y1 = tensor.vector("y1")
y2 = tensor.vector("y2")
c = tensor.iscalar("c")
z = ifelse(c, (x1, x1, x1, x2, x2), (y1, y1, y2, y2, y2))
f = theano.function([c, x1, x2, y1, y2], z)
ifnode = [x for x in f.maker.fgraph.toposort() if isinstance(x.op, IfElse)][0]
assert len(ifnode.outputs) == 3
开发者ID:cfsmile，项目名称:Theano，代码行数:12，代码来源:test_ifelse.py
示例17: test_grad_int_value
def test_grad_int_value(self):
w = theano.shared(numpy.random.rand(10))
b = theano.shared(numpy.random.rand())
params = [w, b]
x = tensor.vector()
y = tensor.scalar()
score = w.dot(x) + b
correct = score * y > 0
loss = ifelse(correct, 0, 1)
[(param, param - 0.5 * tensor.grad(cost=loss, wrt=param)) for param in params]
开发者ID:cfsmile，项目名称:Theano，代码行数:13，代码来源:test_ifelse.py
示例18: test_pushout3
def test_pushout3(self):
raise SkipTest("Optimization temporarily disabled")
x1 = tensor.scalar("x1")
y1 = tensor.scalar("x2")
y2 = tensor.scalar("y2")
c = tensor.iscalar("c")
two = numpy.asarray(2, dtype=theano.config.floatX)
x, y = ifelse(c, (x1, y1), (two, y2), name="f1")
o3 = numpy.asarray(0.3, dtype=theano.config.floatX)
o2 = numpy.asarray(0.2, dtype=theano.config.floatX)
z = ifelse(c, o3, o2, name="f2")
out = x * z * y
f = theano.function([x1, y1, y2, c], out, allow_input_downcast=True)
assert isinstance(f.maker.fgraph.toposort()[-1].op, IfElse)
rng = numpy.random.RandomState(utt.fetch_seed())
vx1 = rng.uniform()
vy1 = rng.uniform()
vy2 = rng.uniform()
assert numpy.allclose(f(vx1, vy1, vy2, 1), vx1 * vy1 * 0.3)
assert numpy.allclose(f(vx1, vy1, vy2, 0), 2 * vy2 * 0.2)
开发者ID:cfsmile，项目名称:Theano，代码行数:22，代码来源:test_ifelse.py
示例19: test_lazy_if
def test_lazy_if(self):
# Tests that lazy if works .. even if the two results have different
# shapes but the same type (i.e. both vectors, or matrices or
# whatnot of same dtype)
x = tensor.vector('x', dtype=self.dtype)
y = tensor.vector('y', dtype=self.dtype)
c = tensor.iscalar('c')
f = theano.function([c, x, y], ifelse(c, x, y), mode=self.mode)
self.assertFunctionContains1(f, self.get_ifelse(1))
rng = numpy.random.RandomState(utt.fetch_seed())
xlen = rng.randint(200)
ylen = rng.randint(200)
vx = numpy.asarray(rng.uniform(size=(xlen,)), self.dtype)
vy = numpy.asarray(rng.uniform(size=(ylen,)), self.dtype)
assert numpy.allclose(vx, f(1, vx, vy))
assert numpy.allclose(vy, f(0, vx, vy))
开发者ID:aboSamoor，项目名称:Theano，代码行数:19，代码来源:test_ifelse.py
注：本文中的theano.ifelse函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
客服电话
APP下载
官方微信
请发表评论