def test_multMatVect():
A1 = tensor.lmatrix('A1')
s1 = tensor.ivector('s1')
m1 = tensor.iscalar('m1')
A2 = tensor.lmatrix('A2')
s2 = tensor.ivector('s2')
m2 = tensor.iscalar('m2')
g0 = rng_mrg.DotModulo()(A1, s1, m1, A2, s2, m2)
f0 = theano.function([A1, s1, m1, A2, s2, m2], g0)
i32max = numpy.iinfo(numpy.int32).max
A1 = numpy.random.randint(0, i32max, (3, 3)).astype('int64')
s1 = numpy.random.randint(0, i32max, 3).astype('int32')
m1 = numpy.asarray(numpy.random.randint(i32max), dtype="int32")
A2 = numpy.random.randint(0, i32max, (3, 3)).astype('int64')
s2 = numpy.random.randint(0, i32max, 3).astype('int32')
m2 = numpy.asarray(numpy.random.randint(i32max), dtype="int32")
f0.input_storage[0].storage[0] = A1
f0.input_storage[1].storage[0] = s1
f0.input_storage[2].storage[0] = m1
f0.input_storage[3].storage[0] = A2
f0.input_storage[4].storage[0] = s2
f0.input_storage[5].storage[0] = m2
r_a1 = rng_mrg.matVecModM(A1, s1, m1)
r_a2 = rng_mrg.matVecModM(A2, s2, m2)
f0.fn()
r_b = f0.output_storage[0].value
assert numpy.allclose(r_a1, r_b[:3])
assert numpy.allclose(r_a2, r_b[3:])
def test_multMatVect():
A1 = tensor.lmatrix('A1')
s1 = tensor.ivector('s1')
m1 = tensor.iscalar('m1')
A2 = tensor.lmatrix('A2')
s2 = tensor.ivector('s2')
m2 = tensor.iscalar('m2')
g0 = rng_mrg.DotModulo()(A1, s1, m1, A2, s2, m2)
f0 = theano.function([A1, s1, m1, A2, s2, m2], g0)
i32max = numpy.iinfo(numpy.int32).max
A1 = numpy.random.randint(0, i32max, (3, 3)).astype('int64')
s1 = numpy.random.randint(0, i32max, 3).astype('int32')
m1 = numpy.asarray(numpy.random.randint(i32max), dtype="int32")
A2 = numpy.random.randint(0, i32max, (3, 3)).astype('int64')
s2 = numpy.random.randint(0, i32max, 3).astype('int32')
m2 = numpy.asarray(numpy.random.randint(i32max), dtype="int32")
f0.input_storage[0].storage[0] = A1
f0.input_storage[1].storage[0] = s1
f0.input_storage[2].storage[0] = m1
f0.input_storage[3].storage[0] = A2
f0.input_storage[4].storage[0] = s2
f0.input_storage[5].storage[0] = m2
r_a1 = rng_mrg.matVecModM(A1, s1, m1)
r_a2 = rng_mrg.matVecModM(A2, s2, m2)
f0.fn()
r_b = f0.output_storage[0].value
assert numpy.allclose(r_a1, r_b[:3])
assert numpy.allclose(r_a2, r_b[3:])
