def test_check_tensor(self): # type: () -> None
tensor = self._sample_float_tensor
checker.check_tensor(tensor)
tensor.raw_data = np.random.randn(2, 3).astype(np.float32).tobytes()
self.assertRaises(checker.ValidationError, checker.check_tensor,
tensor)
def test_check_string_tensor(self):
tensor = TensorProto()
tensor.data_type = TensorProto.STRING
tensor.string_data.append('Test'.encode('utf-8'))
checker.check_tensor(tensor)
del tensor.string_data[:]
tensor.raw_data = 'Test'.encode('utf-8')
# string data should not be stored in raw_data field
self.assertRaises(ValueError, checker.check_tensor, tensor)
def _create_onnx_tensor(self, nodes):
onnx_tensors = []
register_names = []
for n in nodes:
for tensor in n.onnx_tensors:
checker.check_tensor(tensor)
if not tensor.name in register_names:
register_names.append(tensor.name)
onnx_tensors.append(tensor)
return onnx_tensors
def test_check_string_tensor(self): # type: () -> None
tensor = TensorProto()
tensor.data_type = TensorProto.STRING
tensor.dims.append(1)
tensor.string_data.append('Test'.encode('utf-8'))
checker.check_tensor(tensor)
del tensor.string_data[:]
tensor.raw_data = 'Test'.encode('utf-8')
# string data should not be stored in raw_data field
self.assertRaises(checker.ValidationError, checker.check_tensor, tensor)
def test_check_tensor_zero_elem(self): # type: () -> None
tensor = self._sample_0_elem_tensor
checker.check_tensor(tensor)
def test_check_tensor(self):
tensor = self._sample_float_tensor
checker.check_tensor(tensor)
tensor.raw_data = np.random.randn(2, 3).astype(np.float32).tobytes()
self.assertRaises(ValueError, checker.check_tensor, tensor)
def test_check_tensor(self): # type: () -> None
tensor = self._sample_float_tensor
checker.check_tensor(tensor)
tensor.raw_data = np.random.randn(2, 3).astype(np.float32).tobytes()
self.assertRaises(checker.ValidationError, checker.check_tensor, tensor)
