コード例 #1
0
    def test_dynamic_window_enqueue(self):
        enqueue_size = 3
        dequeue_size = 2
        test_buffer = InputBatchQueueRunner(capacity=10, shuffle=False)

        window = get_dynamic_image_window()
        test_buffer._create_queue_and_ops(window, enqueue_size, dequeue_size)

        dynamic_image_size = {
            'image': (5, 5, 5, 1, 2),
            'label': (5, 5, 3, 1, 2)
        }
        window_shape = window.match_image_shapes(dynamic_image_size)

        enqueue_dict = {}
        placeholder = window.image_data_placeholder('image')
        enqueue_dict[placeholder] = np.zeros((1, ) + window_shape['image'])
        placeholder = window.coordinates_placeholder('image')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.image_data_placeholder('label')
        enqueue_dict[placeholder] = np.zeros((1, ) + window_shape['label'])
        placeholder = window.coordinates_placeholder('label')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())

        with self.test_session() as sess:
            # queue size before enqueue
            expected_queue_size = 0
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(expected_queue_size, queue_size)
            # do enqueue
            sess.run(test_buffer._enqueue_op, feed_dict=enqueue_dict)
            # queue size after enqueue
            expected_queue_size = 1
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(expected_queue_size, queue_size)
            # do dequeue
            sess.run(test_buffer.pop_batch_op())
            # queue size after enqueue
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(0, queue_size)
            sess.run(test_buffer._close_queue_op)
コード例 #2
0
    def test_dynamic_window_enqueue(self):
        enqueue_size = 3
        dequeue_size = 2
        test_buffer = InputBatchQueueRunner(capacity=10, shuffle=False)

        window = get_dynamic_image_window()
        test_buffer._create_queue_and_ops(window, enqueue_size, dequeue_size)

        dynamic_image_size = {'image': (5, 5, 5, 1, 2),
                              'label': (5, 5, 3, 1, 2)}
        window_shape = window.match_image_shapes(dynamic_image_size)

        enqueue_dict = {}
        placeholder = window.image_data_placeholder('image')
        enqueue_dict[placeholder] = np.zeros((1,) + window_shape['image'])
        placeholder = window.coordinates_placeholder('image')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.image_data_placeholder('label')
        enqueue_dict[placeholder] = np.zeros((1,) + window_shape['label'])
        placeholder = window.coordinates_placeholder('label')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())

        with self.test_session() as sess:
            # queue size before enqueue
            expected_queue_size = 0
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(expected_queue_size, queue_size)
            # do enqueue
            sess.run(test_buffer._enqueue_op, feed_dict=enqueue_dict)
            # queue size after enqueue
            expected_queue_size = 1
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(expected_queue_size, queue_size)
            # do dequeue
            sess.run(test_buffer.pop_batch_op())
            # queue size after enqueue
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(0, queue_size)
            sess.run(test_buffer._close_queue_op)
コード例 #3
0
    def test_static_window_enqueue(self):
        enqueue_size = 3
        dequeue_size = 2
        test_buffer = InputBatchQueueRunner(capacity=10, shuffle=True)

        window = get_static_image_window()
        test_buffer._create_queue_and_ops(window,
                                          enqueue_size=enqueue_size,
                                          dequeue_size=dequeue_size)

        enqueue_dict = {}
        placeholder = window.image_data_placeholder('image')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.coordinates_placeholder('image')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.image_data_placeholder('label')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.coordinates_placeholder('label')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())

        with self.test_session() as sess:
            # queue size before enqueue
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(0, queue_size)
            # do enqueue
            sess.run(test_buffer._enqueue_op, feed_dict=enqueue_dict)
            # queue size after enqueue
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(enqueue_size, queue_size)

            for _ in range(2):
                sess.run(test_buffer._enqueue_op, feed_dict=enqueue_dict)
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(9, queue_size)
            sess.run(test_buffer.pop_batch_op())
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(7, queue_size)
            sess.run(test_buffer._close_queue_op)
コード例 #4
0
    def test_static_window_enqueue(self):
        enqueue_size = 3
        dequeue_size = 2
        test_buffer = InputBatchQueueRunner(capacity=10, shuffle=True)

        window = get_static_image_window()
        test_buffer._create_queue_and_ops(window,
                                          enqueue_size=enqueue_size,
                                          dequeue_size=dequeue_size)

        enqueue_dict = {}
        placeholder = window.image_data_placeholder('image')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.coordinates_placeholder('image')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.image_data_placeholder('label')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())
        placeholder = window.coordinates_placeholder('label')
        enqueue_dict[placeholder] = np.zeros(placeholder.shape.as_list())

        with self.test_session() as sess:
            # queue size before enqueue
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(0, queue_size)
            # do enqueue
            sess.run(test_buffer._enqueue_op, feed_dict=enqueue_dict)
            # queue size after enqueue
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(enqueue_size, queue_size)

            for _ in range(2):
                sess.run(test_buffer._enqueue_op, feed_dict=enqueue_dict)
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(9, queue_size)
            sess.run(test_buffer.pop_batch_op())
            queue_size = sess.run(test_buffer._query_queue_size_op)
            self.assertAllEqual(7, queue_size)
            sess.run(test_buffer._close_queue_op)