def run_case(self, testname, inputs):
inputs_ref = [theano.shared(inp) for inp in inputs]
inputs_tst = [theano.shared(inp) for inp in inputs]
try:
node_ref = safe_make_node(self.op, *inputs_ref)
node_tst = safe_make_node(self.op, *inputs_tst)
except Exception, exc:
err_msg = ("Test %s::%s: Error occured while making "
"a node with inputs %s") % (self.gpu_op, testname,
inputs)
exc.args += (err_msg, )
raise
def run_case(self, testname, inputs):
inputs_ref = [theano.shared(inp) for inp in inputs]
inputs_tst = [theano.shared(inp) for inp in inputs]
try:
node_ref = safe_make_node(self.op, *inputs_ref)
node_tst = safe_make_node(self.op, *inputs_tst)
except Exception, exc:
err_msg = ("Test %s::%s: Error occured while making "
"a node with inputs %s") % (self.gpu_op, testname,
inputs)
exc.args += (err_msg,)
raise
def test_good(self):
if skip:
raise SkipTest(skip)
for testname, inputs in good.items():
inputs = [copy(input) for input in inputs]
inputrs = [fake_shared(input) for input in inputs]
try:
node = safe_make_node(self.op, *inputrs)
except Exception, exc:
err_msg = ("Test %s::%s: Error occured while making "
"a node with inputs %s") % (self.op, testname,
inputs)
exc.args += (err_msg,)
raise
try:
f = inplace_func([], node.outputs, mode=mode,
name='test_good')
except Exception, exc:
err_msg = ("Test %s::%s: Error occured while trying to "
"make a Function") % (self.op, testname)
exc.args += (err_msg,)
raise
def run_case(self, testname, inputs):
inputs_ref = [theano.shared(inp) for inp in inputs]
inputs_tst = [theano.shared(inp) for inp in inputs]
try:
node_ref = safe_make_node(self.op, *inputs_ref)
node_tst = safe_make_node(self.op, *inputs_tst)
except Exception as exc:
err_msg = ("Test %s::%s: Error occured while making "
"a node with inputs %s") % (self.gpu_op, testname,
inputs)
exc.args += (err_msg, )
raise
try:
f_ref = inplace_func([], node_ref.outputs, mode=mode_nogpu)
f_tst = inplace_func([], node_tst.outputs, mode=mode_gpu)
except Exception as exc:
err_msg = ("Test %s::%s: Error occured while trying to "
"make a Function") % (self.gpu_op, testname)
exc.args += (err_msg, )
raise
self.assertFunctionContains1(f_tst, self.gpu_op)
ref_e = None
try:
expecteds = f_ref()
except Exception as exc:
ref_e = exc
try:
variables = f_tst()
except Exception as exc:
if ref_e is None:
err_msg = ("Test %s::%s: exception when calling the "
"Function") % (self.gpu_op, testname)
exc.args += (err_msg, )
raise
else:
# if we raised an exception of the same type we're good.
if isinstance(exc, type(ref_e)):
return
else:
err_msg = (
"Test %s::%s: exception raised during test "
"call was not the same as the reference "
"call (got: %s, expected %s)" %
(self.gpu_op, testname, type(exc), type(ref_e)))
exc.args += (err_msg, )
raise
for i, (variable, expected) in \
enumerate(izip(variables, expecteds)):
if variable.dtype != expected.dtype or \
variable.shape != expected.shape or \
not TensorType.values_eq_approx(variable,
expected):
self.fail(("Test %s::%s: Output %s gave the wrong "
"value. With inputs %s, expected %s "
"(dtype %s), got %s (dtype %s)." %
(self.op, testname, i, inputs, expected,
expected.dtype, variable, variable.dtype)))
for description, check in iteritems(self.checks):
if not check(inputs, variables):
self.fail(
("Test %s::%s: Failed check: %s "
"(inputs were %s, ouputs were %s)") %
(self.op, testname, description, inputs, variables))
def run_case(self, testname, inputs):
inputs_ref = [theano.shared(inp) for inp in inputs]
inputs_tst = [theano.shared(inp) for inp in inputs]
try:
node_ref = safe_make_node(self.op, *inputs_ref)
node_tst = safe_make_node(self.op, *inputs_tst)
except Exception as exc:
err_msg = ("Test %s::%s: Error occured while making "
"a node with inputs %s") % (self.gpu_op, testname,
inputs)
exc.args += (err_msg,)
raise
try:
f_ref = inplace_func([], node_ref.outputs, mode=mode_nogpu)
f_tst = inplace_func([], node_tst.outputs, mode=mode_gpu)
except Exception as exc:
err_msg = ("Test %s::%s: Error occured while trying to "
"make a Function") % (self.gpu_op, testname)
exc.args += (err_msg,)
raise
self.assertFunctionContains1(f_tst, self.gpu_op)
ref_e = None
try:
expecteds = f_ref()
except Exception as exc:
ref_e = exc
try:
variables = f_tst()
except Exception as exc:
if ref_e is None:
err_msg = ("Test %s::%s: exception when calling the "
"Function") % (self.gpu_op, testname)
exc.args += (err_msg,)
raise
else:
# if we raised an exception of the same type we're good.
if isinstance(exc, type(ref_e)):
return
else:
err_msg = ("Test %s::%s: exception raised during test "
"call was not the same as the reference "
"call (got: %s, expected %s)") % \
(self.gpu_op, testname, type(exc),
type(ref_e))
exc.args += (err_msg,)
raise
for i, (variable, expected) in \
enumerate(izip(variables, expecteds)):
if variable.dtype != expected.dtype or \
variable.shape != expected.shape or \
not TensorType.values_eq_approx(variable,
expected):
self.fail(("Test %s::%s: Output %s gave the wrong "
"value. With inputs %s, expected %s "
"(dtype %s), got %s (dtype %s).") % (
self.op, testname, i, inputs, expected,
expected.dtype, variable, variable.dtype))
for description, check in self.checks.items():
if not check(inputs, variables):
self.fail(("Test %s::%s: Failed check: %s "
"(inputs were %s, ouputs were %s)") %
(self.op, testname, description,
inputs, variables))