Update run_hw1.ipynb

[goodboychan]

Current mujoco_py supports mujoco 2.1.0, not 2.0.0.
Workaround is #4
So it needs to change file paths to modify.

[Paprikaiec]

I change the file paths as you suggested, but when I do dagger, I couldn't log video, I suppose it is the difference between 2.1.0 and 2.0.0. So, I think what we need is mujoco 2.0.0.
This is what my error message:

TypeError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/tensorboardX/summary.py in make_video(tensor, fps)
303 try: # older version of moviepy does not support progress_bar argument.
--> 304 clip.write_gif(filename, verbose=False, progress_bar=False)
305 except TypeError:

TypeError: write_gif() got an unexpected keyword argument 'progress_bar'

During handling of the above exception, another exception occurred:

AttributeError Traceback (most recent call last)
21 frames
in ()
2 print(args.logdir)
3 trainer = BC_Trainer(args)
----> 4 trainer.run_training_loop()

in run_training_loop(self)
40 eval_policy=self.rl_trainer.agent.actor,
41 relabel_with_expert=self.params['do_dagger'],
---> 42 expert_policy=self.loaded_expert_policy,
43 )

/content/gdrive/My Drive/cs285_f2021/homework_fall2021/hw1/cs285/infrastructure/rl_trainer.py in run_training_loop(self, n_iter, collect_policy, eval_policy, initial_expertdata, relabel_with_expert, start_relabel_with_expert, expert_policy)
132 print('\nBeginning logging procedure...')
133 self.perform_logging(
--> 134 itr, paths, eval_policy, train_video_paths, training_logs)
135
136 if self.params['save_params']:

/content/gdrive/My Drive/cs285_f2021/homework_fall2021/hw1/cs285/infrastructure/rl_trainer.py in perform_logging(self, itr, paths, eval_policy, train_video_paths, training_logs)
232 print('\nSaving train rollouts as videos...')
233 self.logger.log_paths_as_videos(train_video_paths, itr, fps=self.fps, max_videos_to_save=MAX_NVIDEO,
--> 234 video_title='train_rollouts')
235 self.logger.log_paths_as_videos(eval_video_paths, itr, fps=self.fps,max_videos_to_save=MAX_NVIDEO,
236 video_title='eval_rollouts')

/content/gdrive/My Drive/cs285_f2021/homework_fall2021/hw1/cs285/infrastructure/logger.py in log_paths_as_videos(self, paths, step, max_videos_to_save, fps, video_title)
47 # log videos to tensorboard event file
48 videos = np.stack(videos[:max_videos_to_save], 0)
---> 49 self.log_video(videos, video_title, step, fps=fps)
50
51 def log_figures(self, figure, name, step, phase):

/content/gdrive/My Drive/cs285_f2021/homework_fall2021/hw1/cs285/infrastructure/logger.py in log_video(self, video_frames, name, step, fps)
25 def log_video(self, video_frames, name, step, fps=10):
26 assert len(video_frames.shape) == 5, "Need [N, T, C, H, W] input tensor for video logging!"
---> 27 self._summ_writer.add_video('{}'.format(name), video_frames, step, fps=fps)
28
29 def log_paths_as_videos(self, paths, step, max_videos_to_save=2, fps=10, video_title='video'):

/usr/local/lib/python3.7/dist-packages/tensorboardX/writer.py in add_video(self, tag, vid_tensor, global_step, fps, walltime)
669 """
670 self._get_file_writer().add_summary(
--> 671 video(tag, vid_tensor, fps), global_step, walltime)
672
673 def add_audio(self, tag, snd_tensor, global_step=None, sample_rate=44100, walltime=None):

/usr/local/lib/python3.7/dist-packages/tensorboardX/summary.py in video(tag, tensor, fps)
277 tensor = (tensor * 255.0).astype(np.uint8)
278
--> 279 video = make_video(tensor, fps)
280 return Summary(value=[Summary.Value(tag=tag, image=video)])
281

/usr/local/lib/python3.7/dist-packages/tensorboardX/summary.py in make_video(tensor, fps)
304 clip.write_gif(filename, verbose=False, progress_bar=False)
305 except TypeError:
--> 306 clip.write_gif(filename, verbose=False)
307
308 with open(filename, 'rb') as f:

in write_gif(self, filename, fps, program, opt, fuzz, verbose, loop, dispose, colors, tempfiles, logger)

/usr/local/lib/python3.7/dist-packages/moviepy/decorators.py in requires_duration(f, clip, *a, **k)
52 raise ValueError("Attribute 'duration' not set")
53 else:
---> 54 return f(clip, *a, **k)
55
56

in write_gif(self, filename, fps, program, opt, fuzz, verbose, loop, dispose, colors, tempfiles, logger)

/usr/local/lib/python3.7/dist-packages/moviepy/decorators.py in convert_masks_to_RGB(f, clip, *a, **k)
20 if clip.ismask:
21 clip = clip.to_RGB()
---> 22 return f(clip, *a, **k)
23
24 @decorator.decorator

/usr/local/lib/python3.7/dist-packages/moviepy/video/VideoClip.py in write_gif(self, filename, fps, program, opt, fuzz, verbose, loop, dispose, colors, tempfiles, logger)
451 write_gif_with_image_io(self, filename, fps=fps, opt=opt, loop=loop,
452 verbose=verbose, colors=colors,
--> 453 logger=logger)
454 elif tempfiles:
455 # convert imageio opt variable to something that can be used with

/usr/local/lib/python3.7/dist-packages/moviepy/video/io/gif_writers.py in write_gif_with_image_io(clip, filename, fps, opt, loop, colors, verbose, logger)
276 quantizer=quantizer,
277 palettesize=colors,
--> 278 loop=loop
279 )
280 logger(message='MoviePy - Building file %s with imageio.' % filename)

/usr/local/lib/python3.7/dist-packages/imageio/core/functions.py in get_writer(uri, format, mode, **kwargs)
178 kwargs : ...
179 Further keyword arguments are passed to the writer. See :func:.help
--> 180 to see what arguments are available for a particular format.
181 """
182

/usr/local/lib/python3.7/dist-packages/imageio/core/format.py in search_write_format(self, request)
712 # but the legacy API doesn't raise
713 return None
--> 714
715 def get_format_names(self):
716 """Get the names of all registered formats."""

/usr/local/lib/python3.7/dist-packages/imageio/core/format.py in can_write(self, request)
200 def _can_write(self, request): # pragma: no cover
201 return None # Plugins must implement this
--> 202
203 # -----
204

/usr/local/lib/python3.7/dist-packages/imageio/plugins/pillow.py in _can_write(self, request)
106 return EXIF_ORIENTATION[orientation]
107
--> 108
109 class PillowPlugin(object):
110 def init(self, request: Request):

/usr/local/lib/python3.7/dist-packages/imageio/plugins/pillow.py in _init_pillow(self)
91
92 # -1 if the mode has color channel, 0 otherwise
---> 93 axis = -2 if _is_multichannel(mode) else -1
94
95 EXIF_ORIENTATION = {

/usr/local/lib/python3.7/dist-packages/PIL/Image.py in preinit()
364 except ImportError:
365 pass
--> 366 try:
367 from . import PpmImagePlugin
368

/usr/local/lib/python3.7/dist-packages/PIL/JpegImagePlugin.py in ()
42 import warnings
43
---> 44 from . import Image, ImageFile, TiffImagePlugin
45 from ._binary import i16be as i16
46 from ._binary import i32be as i32

/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py in ()
416
417
--> 418 class ImageFileDirectory_v2(MutableMapping):
419 """This class represents a TIFF tag directory. To speed things up, we
420 don't decode tags unless they're asked for.

/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py in ImageFileDirectory_v2()
693 (TiffTags.FLOAT, "f", "float"),
694 (TiffTags.DOUBLE, "d", "double"),
--> 695 (TiffTags.IFD, "L", "long"),
696 ],
697 )

AttributeError: module 'PIL.TiffTags' has no attribute 'IFD'

I think instead of
!git clone https://github.com/openai/mujoco-py.git,
we could
!git clone -b v2.0.2.2 https://github.com/openai/mujoco-py.git
according to the requirements.txt
But this still couldn't work, does anyone know how to install mujoco 2.0.2.2

[goodboychan]

I think it's related on PIL library while making GIF files.
Could you try this?