def test_from_json_full(self):
        config = Config.from_json({
            'input_signatures': ['abc', 'def'],
            'output_signatures': ['ghi', 'jkl', 'mno']
        })

        self.assertEqual(
            config,
            Config(input_signature=['abc', 'def'],
                   output_signature=['ghi', 'jkl', 'mno']))
    def test_compile_with_explicit_signature(self):
        with tf.Graph().as_default(), tf.compat.v1.Session().as_default(
        ) as session:
            input_x = tf.compat.v1.placeholder(dtype=tf.float32,
                                               shape=[3, 4],
                                               name='x')
            input_y = tf.compat.v1.placeholder(dtype=tf.float32,
                                               shape=[3, 4],
                                               name='y')
            input_z = tf.add(input_x, input_y, name='z')

        compiled = compiler.compile_source(source=TensorFlowModel(
            inputs=[Input(tensor=input_x),
                    Input(tensor=input_y)],
            outputs=[input_z],
            session=session),
                                           config=Config(
                                               input_signature=['foo', 'bar'],
                                               output_signature=['baz']))

        self.assertEqual(len(compiled.inputs), 2)
        self.assertEqual(compiled.inputs[0].name, 'foo')
        self.assertEqual(compiled.inputs[0].tensor, input_x)
        self.assertIsNone(compiled.inputs[0].data_format)
        self.assertEqual(compiled.inputs[1].name, 'bar')
        self.assertEqual(compiled.inputs[1].tensor, input_y)
        self.assertIsNone(compiled.inputs[1].data_format)

        self.assertEqual(len(compiled.outputs), 1)
        self.assertEqual(compiled.outputs[0].name, 'baz')
        self.assertIs(compiled.outputs[0].tensor, input_z)

        self.assertIs(compiled.session, session)
Пример #3
0
    def test_compile_simple(self):
        with eager_context.graph_mode(), tf.Graph().as_default(), tf.compat.v1.Session().as_default() as session:
            input_x = tf.compat.v1.placeholder(dtype=tf.float32, shape=[3, 4], name='x')
            input_y = tf.compat.v1.placeholder(dtype=tf.float32, shape=[3, 4], name='y')
            output_z = tf.add(input_x, input_y, name='z')

        compiled = compiler.compile_source(source=TensorFlowModel(inputs=[Input(tensor=input_x), Input(tensor=input_y)],
                                                                  outputs=[output_z],
                                                                  session=session),
                                           config=Config())

        self.assertEqual(len(compiled.inputs), 2)
        self.assertEqual(compiled.inputs[0].name, 'x:0')
        self.assertEqual(compiled.inputs[0].tensor, input_x)
        self.assertIsNone(compiled.inputs[0].data_format)
        self.assertEqual(compiled.inputs[1].name, 'y:0')
        self.assertEqual(compiled.inputs[1].tensor, input_y)
        self.assertIsNone(compiled.inputs[1].data_format)

        self.assertEqual(len(compiled.outputs), 1)
        self.assertEqual(compiled.outputs[0].name, 'z:0')
        self.assertIs(compiled.outputs[0].tensor, output_z)

        self.assertIs(compiled.session, session)
    def test_from_json_output_names_only(self):
        config = Config.from_json({'output_signatures': ['abc', 'def']})

        self.assertEqual(
            config,
            Config(input_signature=None, output_signature=['abc', 'def']))
    def test_from_json_minimal(self):
        config = Config.from_json({})

        self.assertEqual(config,
                         Config(input_signature=None, output_signature=None))