예제 #1
0
    def test_clip_number_by_value(self):
        """Test clip with float"""
        shape, min_value, max_value = (10, 10), 0.4, 0.6
        with nn.variable_scope(self.get_scope()):
            variable0 = fixture.create_random_variable(shape, dtype='float32')
            tensor1 = nn.clip_by_value(variable0,
                                       max_value=max_value,
                                       min_value=min_value)

        session = nn.Session()
        session.initialize()

        val0, val1 = session.run(outputs=[variable0, tensor1], )
        expected = np.clip(val0, a_max=max_value, a_min=min_value)
        np.testing.assert_almost_equal(val1, expected)
예제 #2
0
파일: ops_test.py 프로젝트: mthrok/luchador
    def test_clip_number_by_value(self):
        """Test clip with float"""
        shape, min_value, max_value = (10, 10), 0.4, 0.6
        with nn.variable_scope(self.get_scope()):
            variable0 = fixture.create_random_variable(shape, dtype='float32')
            tensor1 = nn.ops.clip_by_value(
                variable0, max_value=max_value, min_value=min_value)

        session = nn.Session()
        session.initialize()

        val0, val1 = session.run(
            outputs=[variable0, tensor1],
        )
        expected = np.clip(val0, a_max=max_value, a_min=min_value)
        np.testing.assert_almost_equal(val1, expected)
예제 #3
0
파일: ops_test.py 프로젝트: mot0/luchador
    def test_clip_input_by_value(self):
        """Test clip with Input"""
        shape, min_value, max_value = (10, 10), 0.4, 0.6
        with nn.variable_scope(self.get_scope()):
            variable0 = fixture.create_random_variable(shape, dtype='float32')
            min_input = nn.Input(shape=[], dtype='float32')
            max_input = nn.Input(shape=[], dtype='float32')
            tensor1 = nn.ops.clip_by_value(
                variable0, max_value=max_input, min_value=min_input)

        session = nn.Session()
        session.initialize()

        val0, val1 = session.run(
            outputs=[variable0, tensor1],
            givens={
                min_input: np.array(min_value, dtype='float32'),
                max_input: np.array(max_value, dtype='float32'),
            },
        )
        expected = np.clip(val0, a_max=max_value, a_min=min_value)
        np.testing.assert_almost_equal(val1, expected)