def check_output(self, model, x):
for opset_version in range(onnx_chainer.MINIMUM_OPSET_VERSION,
onnx.defs.onnx_opset_version() + 1):
test_onnxruntime.check_output(model,
x,
self.fn,
opset_version=opset_version)
def test_output(self):
for opset_version in range(test_onnxruntime.MINIMUM_OPSET_VERSION,
onnx.defs.onnx_opset_version() + 1):
test_onnxruntime.check_output(self.model,
self.x,
self.fn,
opset_version=opset_version)
def test_variable_dicts(self):
arg_names = ['x', 'y', 'z'] # current exporter ignores these names
ins = {
arg_names[i]: chainer.Variable(v)
for i, v in enumerate(self.ins)
}
test_onnxruntime.check_output(self.model, ins, self.fn)
def test_output(self):
for opset_version in range(
onnx_chainer.MINIMUM_OPSET_VERSION,
onnx.defs.onnx_opset_version() + 1):
with self.assertRaises(RuntimeError):
test_onnxruntime.check_output(
self.model, self.x, self.fn, opset_version=opset_version)
def test_outputs(self):
model = self.get_model()
x = np.ones((1, 3), dtype=np.float32)
# TODO(disktnk) output keys are not intuitive
test_onnxruntime.check_output(model,
x,
'IntermediateOutput.onnx',
out_keys=['Identity_0', 'Gemm_1'])
def test_output(self):
for opset_version in range(
test_onnxruntime.MINIMUM_OPSET_VERSION,
onnx.defs.onnx_opset_version() + 1):
with warnings.catch_warnings(record=True) as w:
test_onnxruntime.check_output(
self.model, [self.x, self.rois], self.fn,
opset_version=opset_version)
assert len(w) == 1
def test_multiple_outputs(self):
model = self.get_model(use_bn=self.use_bn, out_type=self.out_type)
x = np.zeros((1, 3, 32, 32), dtype=np.float32)
# 'out_keys' is necessary even if self.out_type is tuple or list
# because onnxruntime does not guarantee the order of outputs when
# output keys are None.
test_onnxruntime.check_output(model,
x,
'MultipleOutputs.onnx',
out_keys=['Tanh_0', 'Sigmoid_0'])
def test_output(self):
opset_ids = onnx_chainer.mapping.operators[self.info]
minimum_version = max(onnx_chainer.MINIMUM_OPSET_VERSION, opset_ids[0])
for opset_version in range(minimum_version,
onnx.defs.onnx_opset_version() + 1):
test_onnxruntime.check_output(self.model,
self.a,
self.fn,
opset_version=opset_version)
def test_output(self):
for opset_version in range(
onnx_chainer.MINIMUM_OPSET_VERSION,
onnx.defs.onnx_opset_version() + 1):
# TODO(hamaji): onnxruntime does not support Upsample-9 yet.
# https://github.com/chainer/onnx-chainer/issues/111
if self.name == 'unpooling_2d' and opset_version == 9:
continue
test_onnxruntime.check_output(
self.model, self.x, self.fn, opset_version=opset_version)
def test_implicit_input(self):
x = chainer.Variable(np.array(1, dtype=np.float32))
test_onnxruntime.check_output(self.model, x, self.fn)
def test_variables(self):
ins = [chainer.Variable(i) for i in self.ins]
test_onnxruntime.check_output(self.model, ins, self.fn)
def test_arrays(self):
test_onnxruntime.check_output(self.model, self.ins, self.fn)
def test_output(self):
for opset_version in (9, ):
test_onnxruntime.check_output(self.model, [self.x, self.t],
'softmax_cross_entropy.onnx',
opset_version=opset_version)