KernelRestarter: restarting kernel (1/5), keep random ports

[11lucky111]

When I run Jupyter Notebooks，“view_interpolation”file， I get： KernelRestarter: restarting kernel (1/5), keep random ports WARNING:root:kernel 082ad86c-b043-4ea7-8110-2bf7b45ad159 restarted

[11lucky111]

The specific code block is：

'''data visualization'''
skip_load = 1  # adjust this to skip through records

# fetch & parse
for _ in range(skip_load):
    d, _ = sess.run(data)
ctx_frames = d.query.context.frames
ctx_poses = d.query.context.cameras
tgt_frame = d.target
tgt_pose = d.query.query_camera
tuple_length = ctx_size + 1  # context points + 1 target
print(">>> Context frames:\t%s" % (ctx_frames.shape, ))
print(">>> Context poses: \t%s" % (ctx_poses.shape, ))
print(">>> Target frame:  \t%s" % (tgt_frame.shape, ))
print(">>> Target pose:   \t%s" % (tgt_pose.shape, ))

# visualization constants
MAX_COLS_PER_ROW = 6
TILE_HEIGHT, TILE_WIDTH, TILE_PAD = 3.0, 3.0, 0.8
np.set_printoptions(precision=2, suppress=True)

# visualize all data tuples in the batch
for n in range(batch_size):
    # define image grid
    ncols = int(np.min([tuple_length, MAX_COLS_PER_ROW]))
    nrows = int(np.ceil(tuple_length / MAX_COLS_PER_ROW))
    fig = plt.figure(figsize=(TILE_WIDTH * ncols, TILE_HEIGHT * nrows))
    grid = ImageGrid(
        fig, 111,  # similar to subplot(111)
        nrows_ncols=(nrows, ncols),
        axes_pad=TILE_PAD,  # pad between axes in inch.
    )
    # visualize context
    for ctx_idx in range(ctx_size):
        rgb = ctx_frames[n, ctx_idx]
        pose = ctx_poses[n, ctx_idx]
        caption = "ctx: %02d\nxyz:%s\nyp:%s" % \
            (ctx_idx + 1, pose[0:3], pose[3:])
        grid[ctx_idx].imshow(rgb)
        grid[ctx_idx].set_title(caption, loc='center')
    # visualize target
    rgb = tgt_frame[n]
    pose = tgt_pose[n]
    caption = "target\nxyz:%s\nyp:%s" % \
        (pose[0:3], pose[3:])
    grid[-1].imshow(rgb)
    grid[-1].set_title(caption, loc='center')
    plt.show()

[11lucky111]

I've already fixed it because the training set was misplaced.