def test_from_json(self):
self.assertEqual(
Config.from_json({
'input_names': ['input'],
'output_names': ['output'],
'input_formats': ['channels_first']
}),
Config(input_info=[('input', DataFormat.CHANNELS_FIRST)],
output_names=['output']))
def test_from_env(self):
self.assertEqual(
Config.from_env({
'INPUT_NAMES': 'input1,input2:0',
'OUTPUT_NAMES': 'output',
'INPUT_FORMATS': 'channels_first'
}),
Config(input_info=[('input1', DataFormat.CHANNELS_FIRST),
('input2:0', None)],
output_names=['output']))
def test_compile_with_variables(self):
with TemporaryDirectory() as directory:
model_path = os.path.join(directory, 'model.ckpt')
_save_tensorflow_model(model_path)
config = Config.from_json({
'input_names': ['x:0', 'y:0'],
'output_names': ['z:0'],
'input_formats': ['channels_first', '']
})
compiled = compiler.compile_source(
TfModelFile(model_path=model_path), config)
self.assertIsInstance(compiled.session, tf.compat.v1.Session)
self.assertEqual(
[model_input.tensor.name for model_input in compiled.inputs],
['x:0', 'y:0'])
self.assertEqual(
[model_input.data_format for model_input in compiled.inputs],
[DataFormat.CHANNELS_FIRST, None])
self.assertEqual(
[model_output.name for model_output in compiled.outputs], ['z:0'])
def test_compile_with_none_input_format(self):
with TemporaryDirectory() as directory:
model_path = os.path.join(directory, 'model.ckpt')
_save_tensorflow_model(model_path)
config = Config.from_json({
'input_names': ['x:0', 'y:0'],
'output_names': ['z:0'],
'input_formats': []
})
compiled = compiler.compile_source(
TfModelFile(model_path=model_path), config)
self.assertEqual(
[model_input.data_format for model_input in compiled.inputs],
[None, None])