提交 d309a022 authored 作者: goodfeli's avatar goodfeli

Merge pull request #64 from delallea/generic_get_test_value

More generic get_test_value
...@@ -10,15 +10,20 @@ __contact__ = "theano-dev <theano-dev@googlegroups.com>" ...@@ -10,15 +10,20 @@ __contact__ = "theano-dev <theano-dev@googlegroups.com>"
__docformat__ = "restructuredtext en" __docformat__ = "restructuredtext en"
import logging import logging
import warnings
import numpy
import theano
from theano import config from theano import config
import cc
import graph import graph
import numpy
import utils import utils
import warnings
from env import Env from env import Env
import cc
class CLinkerObject(object): class CLinkerObject(object):
...@@ -549,17 +554,16 @@ class Op(utils.object2, PureOp, CLinkerOp): ...@@ -549,17 +554,16 @@ class Op(utils.object2, PureOp, CLinkerOp):
def get_test_value(v): def get_test_value(v):
""" """
Extract test value from variable v. Raises AttributeError if there is none. Extract test value from `v`. Raises AttributeError if there is none.
If input `v` is not already a variable, it is turned into one by calling
`as_tensor_variable(v)`, so that this function can be applied e.g.
on numpy arrays or Python lists and scalars, considering them as constants.
For an ndarray, the value is the ndarray itself
For a Constant, the test value is v.value. For a Constant, the test value is v.value.
For a Shared variable, it is the internal value. For a Shared variable, it is the internal value.
For another Variable, it is the content of v.tag.test_value.""" For another Variable, it is the content of v.tag.test_value.
"""
try: v_tensor = theano.tensor.as_tensor_variable(v)
return PureOp._get_test_value(v) return PureOp._get_test_value(v_tensor)
except AttributeError:
if hasattr(v,'__array__'):
return v
raise
...@@ -188,10 +188,16 @@ class TestMakeThunk(unittest.TestCase): ...@@ -188,10 +188,16 @@ class TestMakeThunk(unittest.TestCase):
assert compute_map[o][0] assert compute_map[o][0]
assert storage_map[o][0] == 4 assert storage_map[o][0] == 4
def test_test_value_python_objects():
for x in (range(3), 0, 0.5, 1):
assert (op.get_test_value(x) == x).all()
def test_test_value_ndarray(): def test_test_value_ndarray():
x = numpy.zeros((5,5)) x = numpy.zeros((5,5))
v = op.get_test_value(x) v = op.get_test_value(x)
assert v is x assert (v == x).all()
def test_test_value_constant(): def test_test_value_constant():
x = T.as_tensor_variable(numpy.zeros((5,5))) x = T.as_tensor_variable(numpy.zeros((5,5)))
......
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