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model_test.py
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model_test.py
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"""
Tests for model saving and loading, including for user-defined models.
"""
from pydynet import *
import numpy
import os
# first, define three user-defined classes
class Transfer(Saveable):
def __init__(self, nin, nout, act, model):
self.act = act
self.W = model.add_parameters((nout, nin))
self.b = model.add_parameters(nout)
self.nin = nin
self.nout = nout
def __call__(self, x):
W,b=map(parameter, [self.W, self.b])
return self.act(W*x+b)
def get_components(self):
return [self.W, self.b]
def restore_components(self, components):
self.W, self.b = components
class MultiTransfer(Saveable):
def __init__(self, sizes, act, model):
self.transfers = []
for nin,nout in zip(sizes,sizes[1:]):
self.transfers.append(Transfer(nin,nout,act,model))
def __call__(self, x):
for t in self.transfers:
x = t(x)
return x
def get_components(self):
return self.transfers
def restore_components(self, components):
self.transfers = components
class NoParameters(Saveable):
def __init__(self, act):
self.act = act
def __call__(self, in_expr):
return self.act(cwise_multiply(in_expr))
def get_components(self): return []
def restore_components(self,components):pass
def old_style_save_and_load():
# create a model and add parameters.
m = Model()
a = m.add_parameters((100,100))
b = m.add_lookup_parameters((20,2))
t1 = Transfer(5,6,softmax, m)
t2 = Transfer(7,8,softmax, m)
tt = MultiTransfer([10,10,10,10],tanh, m)
c = m.add_parameters((100))
lb = LSTMBuilder(1,2,3,m)
lb2 = LSTMBuilder(2,4,4,m)
# save
m.save("test1")
# create new model (same parameters):
m2 = Model()
a2 = m2.add_parameters((100,100))
b2 = m2.add_lookup_parameters((20,2))
t12 = Transfer(5,6,softmax, m2)
t22 = Transfer(7,8,softmax, m2)
tt2 = MultiTransfer([10,10,10,10],tanh, m2)
c2 = m2.add_parameters((100))
lb2 = LSTMBuilder(1,2,3,m2)
lb22 = LSTMBuilder(2,4,4,m2)
# parameters should be different
for p1,p2 in [(a,a2),(b,b2),(c,c2),(t1.W,t12.W),(tt.transfers[0].W,tt2.transfers[0].W)]:
assert(not numpy.array_equal(p1.as_array(), p2.as_array()))
m2.load("test1")
# parameters should be same
for p1,p2 in [(a,a2),(b,b2),(c,c2),(t1.W,t12.W),(tt.transfers[0].W,tt2.transfers[0].W)]:
assert(numpy.array_equal(p1.as_array(), p2.as_array()))
os.remove("test1")
old_style_save_and_load()
def new_style_save_and_load():
# create a model and add parameters.
m = Model()
a = m.add_parameters((100,100))
b = m.add_lookup_parameters((20,2))
t1 = Transfer(5,6,softmax, m)
t2 = Transfer(7,8,softmax, m)
tt = MultiTransfer([10,10,10,10],tanh, m)
c = m.add_parameters((100))
lb = LSTMBuilder(1,2,3,m)
lb2 = LSTMBuilder(2,4,4,m)
np = NoParameters(tanh)
# save
m.save("test_new",[a,b,t1,t2,tt,c,lb,lb2,np])
m.save("test_new_r",[np,lb2,lb,c,tt,t2,t1,b,a])
# create new model and load:
m2 = Model()
[xa,xb,xt1,xt2,xtt,xc,xlb,xlb2,xnp] = m2.load("test_new")
#m3 = Model()
#[rnp,rlb2,rlb,rc,rtt,rt2,rt1,rb,ra] = m3.load("test_new_r")
m3,[rnp,rlb2,rlb,rc,rtt,rt2,rt1,rb,ra] = Model.from_file("test_new_r")
# partial save and load:
m.save("test_new_partial", [a,tt,lb2])
m4 = Model()
[pa,ptt,plb2] = m4.load("test_new_partial")
# types
params = [a,xa,ra,pa,c,xc,rc]
for p1 in params:
assert(isinstance(p1,Parameters))
for p1 in [b,xb,rb]:
assert(isinstance(p1,LookupParameters))
for p1 in [lb,lb2,xlb,xlb2,rlb,rlb2,plb2]:
assert(isinstance(p1,LSTMBuilder))
for p1 in [t1,t2,xt1,xt2,rt1,rt2]:
assert(isinstance(p1,Transfer))
for p1 in [tt,xtt,rtt,ptt]:
assert(isinstance(p1,MultiTransfer))
for p1 in [np,xnp,rnp]:
assert(isinstance(p1,NoParameters))
# param equalities
for p1 in [a,xa,ra,pa]:
for p2 in [a,xa,ra,pa]:
assert(numpy.array_equal(p1.as_array(),p2.as_array()))
for p1 in [c,xc,rc]:
for p2 in [c,xc,rc]:
assert(numpy.array_equal(p1.as_array(),p2.as_array()))
for p1 in [b,xb,rb]:
for p2 in [b,xb,rb]:
assert(numpy.array_equal(p1.as_array(),p2.as_array()))
v1 = b[4]
v2 = xb[4]
v3 = rb[4]
assert(numpy.array_equal(v1.value(), v2.value()))
assert(numpy.array_equal(v1.value(), v3.value()))
# lstm builders equalities
s1 = lb.initial_state()
s2 = xlb.initial_state()
s3 = rlb.initial_state()
y1 = s1.add_input(v1).output().value()
y2 = s2.add_input(v1).output().value()
y3 = s3.add_input(v1).output().value()
for y in [y2,y3]:
assert(numpy.array_equal(y1,y))
# Transfer equalities
for p1 in [t1,xt1,rt1]:
for p2 in [t1,xt1,rt1]:
assert(numpy.array_equal(p1.W.as_array(),p2.W.as_array()))
assert(numpy.array_equal(p1.b.as_array(),p2.b.as_array()))
assert(p1.nin == p2.nin)
# MultiTransfer equalities
for p1 in [tt,xtt,rtt]:
for p2 in [tt,xtt,rtt]:
assert(numpy.array_equal(p1.transfers[0].W.as_array(),p2.transfers[0].W.as_array()))
assert(numpy.array_equal(p1.transfers[0].b.as_array(),p2.transfers[0].b.as_array()))
assert(numpy.array_equal(p1.transfers[-1].W.as_array(),p2.transfers[-1].W.as_array()))
assert(numpy.array_equal(p1.transfers[-1].b.as_array(),p2.transfers[-1].b.as_array()))
assert(p1.transfers[0].nin == p2.transfers[0].nin)
assert(p1.transfers[-1].nin == p2.transfers[-1].nin)
# NoParameter equalities
for p1 in [np,xnp,rnp]:
assert(p1.act == tanh)
for suf in ['','.pyk','.pym']:
os.remove("test_new"+suf)
os.remove("test_new_r"+suf)
os.remove("test_new_partial"+suf)
new_style_save_and_load()
print "Model saving tests passed."