def test_test_value_op():
try:
prev_value = config.compute_test_value
config.compute_test_value = 'raise'
x = T.log(numpy.ones((5, 5)))
v = op.get_test_value(x)
assert numpy.allclose(v, numpy.zeros((5, 5)))
finally:
config.compute_test_value = prev_value
def test_test_value_shared():
x = shared(numpy.zeros((5, 5)))
v = op.get_test_value(x)
assert numpy.all(v == numpy.zeros((5, 5)))
def test_test_value_ndarray():
x = numpy.zeros((5, 5))
v = op.get_test_value(x)
assert (v == x).all()
def test_test_value_constant():
x = T.as_tensor_variable(numpy.zeros((5, 5)))
v = op.get_test_value(x)
assert numpy.all(v == numpy.zeros((5, 5)))
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_python_objects():
for x in ([0, 1, 2], 0, 0.5, 1):
assert (op.get_test_value(x) == x).all()
def test_test_value_constant():
x = T.as_tensor_variable(numpy.zeros((5, 5)))
v = op.get_test_value(x)
assert numpy.all(v == numpy.zeros((5, 5)))
def test_test_value_ndarray():
x = numpy.zeros((5, 5))
v = op.get_test_value(x)
assert (v == x).all()
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_shared():
x = shared(numpy.zeros((5, 5)))
v = op.get_test_value(x)
assert numpy.all(v == numpy.zeros((5, 5)))
def test_test_value_python_objects():
for x in ([0, 1, 2], 0, 0.5, 1):
assert (op.get_test_value(x) == x).all()
