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A Lightning app for animal pose estimation.

License: Apache License 2.0

Python 100.00%

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pose-app's Issues

use label studio

wait for heartexlabs/label-studio#2596

or change label studio label_studio/core/settings/label_studio.py file

add

X_FRAME_OPTIONS = 'allow-from *'

above

ADD_DEFAULT_ML_BACKENDS = False

read values from hydra instead hard coding in the values inside the code

cvat requires docker image to start

look at examples from https://github.com/PyTorchLightning/lightning/blob/0f7ca444e6a6f2278fdd45a22e41bce1fcdb4cc4/tests/examples/custom_work_dependencies/app.py

class WorkWithCustomBaseImage(LightningWork):
    def __init__(self, cloud_compute: CloudCompute = CloudCompute("cpu", 1), **kwargs):
        # this image has been created from ghcr.io/gridai/base-images:v1.8-cpu
        # by just adding an empty file at /content/.e2e_test
        custom_image = "ghcr.io/gridai/image-for-testing-custom-images-in-e2e"
        build_config = BuildConfig(image=custom_image)
        super().__init__(parallel=True, **kwargs, cloud_compute=cloud_compute, cloud_build_config=build_config)

default shared memory too low

workaround is to set training.num_workers=2

tried below and shm_size=512 causes the work to fail without any error messages.

        self.my_work = LitBashWork(
          cloud_compute=L.CloudCompute("gpu", shm_size=512), 
          cloud_build_config=FiftyOneBuildConfig(),
          )

dlopen libnvcuvid.so failed!. Please install GPU dirver

Dali is failing with dlopen libnvcuvid.so failed

[root.my_work] 2022-06-26T01:59:14.586Z INFO:  Initializing a HeatmapTracker instance.
[root.my_work] 2022-06-26T01:59:14.587Z INFO: [2022-06-26 01:59:14,586][py.warnings][WARNING] - /content/venv/lib/python3.8/site-packages/pytorch_lightning/core/saving.py:217: UserWarning: Found keys that are not in the model state dict but in the checkpoint: ['total_unsupervised_importance']
[root.my_work] 2022-06-26T01:59:14.587Z INFO:   rank_zero_warn(
[root.my_work] 2022-06-26T01:59:14.587Z INFO: 
[root.my_work] 2022-06-26T01:59:17.986Z INFO: dlopen libnvcuvid.so failed!. Please install GPU dirver------------------------------------
[root.my_work] 2022-06-26T01:59:17.986Z INFO: Building DALI video eval pipeline...
[root.my_work] 2022-06-26T01:59:17.986Z INFO: ------------------------------------
[root.my_work] 2022-06-26T01:59:17.986Z INFO: Error executing job with overrides: ['eval.hydra_paths=[2022-06-26/01-58-45]', 'eval.test_videos_directory=/content/lightning-pose/toy_datasets/toymouseRunningData/unlabeled_videos', 'eval.saved_vid_preds_dir=outputs/2022-06-26/01-58-45']
[root.my_work] 2022-06-26T01:59:17.991Z INFO: Traceback (most recent call last):
[root.my_work] 2022-06-26T01:59:17.991Z INFO:   File "scripts/predict_new_vids.py", line 106, in <module>
[root.my_work] 2022-06-26T01:59:17.991Z INFO:     predict_videos_in_dir()
[root.my_work] 2022-06-26T01:59:17.991Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/main.py", line 90, in decorated_main
[root.my_work] 2022-06-26T01:59:17.991Z INFO:     _run_hydra(
[root.my_work] 2022-06-26T01:59:17.992Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/_internal/utils.py", line 389, in _run_hydra
[root.my_work] 2022-06-26T01:59:17.992Z INFO:     _run_app(
[root.my_work] 2022-06-26T01:59:17.992Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/_internal/utils.py", line 452, in _run_app
[root.my_work] 2022-06-26T01:59:17.992Z INFO:     run_and_report(
[root.my_work] 2022-06-26T01:59:17.992Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/_internal/utils.py", line 216, in run_and_report
[root.my_work] 2022-06-26T01:59:17.992Z INFO:     raise ex
[root.my_work] 2022-06-26T01:59:17.992Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/_internal/utils.py", line 213, in run_and_report
[root.my_work] 2022-06-26T01:59:17.992Z INFO:     return func()
[root.my_work] 2022-06-26T01:59:17.992Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/_internal/utils.py", line 453, in <lambda>
[root.my_work] 2022-06-26T01:59:17.992Z INFO:     lambda: hydra.run(
[root.my_work] 2022-06-26T01:59:17.992Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/_internal/hydra.py", line 132, in run
[root.my_work] 2022-06-26T01:59:17.993Z INFO:     _ = ret.return_value
[root.my_work] 2022-06-26T01:59:17.993Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/core/utils.py", line 260, in return_value
[root.my_work] 2022-06-26T01:59:17.993Z INFO:     raise self._return_value
[root.my_work] 2022-06-26T01:59:17.993Z INFO:   File "/content/venv/lib/python3.8/site-packages/hydra/core/utils.py", line 186, in run_job
[root.my_work] 2022-06-26T01:59:17.993Z INFO:     ret.return_value = task_function(task_cfg)
[root.my_work] 2022-06-26T01:59:17.993Z INFO:   File "scripts/predict_new_vids.py", line 81, in predict_videos_in_dir
[root.my_work] 2022-06-26T01:59:17.993Z INFO:     preds_df, heatmaps_np = predict_single_video(
[root.my_work] 2022-06-26T01:59:17.993Z INFO:   File "/content/venv/lib/python3.8/site-packages/typeguard/__init__.py", line 1033, in wrapper
[root.my_work] 2022-06-26T01:59:17.993Z INFO:     retval = func(*args, **kwargs)
[root.my_work] 2022-06-26T01:59:17.994Z INFO:   File "/content/lightning-pose/lightning_pose/utils/predictions.py", line 217, in predict_single_video
[root.my_work] 2022-06-26T01:59:17.994Z INFO:     predict_loader = LightningWrapper(
[root.my_work] 2022-06-26T01:59:17.994Z INFO:   File "/content/lightning-pose/lightning_pose/data/dali.py", line 96, in __init__
[root.my_work] 2022-06-26T01:59:17.994Z INFO:     super().__init__(*kargs, **kwargs)
[root.my_work] 2022-06-26T01:59:17.994Z INFO:   File "/content/venv/lib/python3.8/site-packages/nvidia/dali/plugin/pytorch.py", line 165, in __init__
[root.my_work] 2022-06-26T01:59:17.994Z INFO:     _DaliBaseIterator.__init__(self,
[root.my_work] 2022-06-26T01:59:17.994Z INFO:   File "/content/venv/lib/python3.8/site-packages/nvidia/dali/plugin/base_iterator.py", line 175, in __init__
[root.my_work] 2022-06-26T01:59:17.994Z INFO:     p.build()
[root.my_work] 2022-06-26T01:59:17.994Z INFO:   File "/content/venv/lib/python3.8/site-packages/nvidia/dali/pipeline.py", line 760, in build
[root.my_work] 2022-06-26T01:59:17.994Z INFO:     self._pipe.Build(self._generate_build_args())
[root.my_work] 2022-06-26T01:59:17.995Z INFO: RuntimeError: Critical error when building pipeline:
[root.my_work] 2022-06-26T01:59:17.995Z INFO: Error when constructing operator: readers__Video encountered:
[root.my_work] 2022-06-26T01:59:17.995Z INFO: [/opt/dali/dali/operators/reader/loader/video_loader.h:191] Assert on "ret" failed: Failed to load libnvcuvid.so, needed by the VideoReader operator. If you are running in a Docker container, please refer to https://github.com/NVIDIA/nvidia-docker/wiki/Usage
[root.my_work] 2022-06-26T01:59:17.995Z INFO: Stacktrace (70 entries):

fiftyone dataset list fails

FO by itself runs ok. but as a part of LPA, does not work

FO by itself runs.

import shlex
import subprocess
import lightning as L
from typing import Optional, Union, List

class FiftyOneBuildConfig(L.BuildConfig):
  def build_commands(self) -> List[str]:
      return [
          "pip install fiftyone",
          "pip uninstall -y opencv-python",
          "pip uninstall -y opencv-python-headless",
          "pip install opencv-python-headless==4.5.5.64",
      ]

class MyWork(L.LightningWork):
  def __init__(self, *args, **kwargs):
    super().__init__(*args, **kwargs,
      # required to to grab self.host and self.port in the cloud.  
      # otherwise, the values flips from 127.0.0.1 to 0.0.0.0 causing two runs
      host='0.0.0.0',  
    )

  def subprocess_popen(self, args, **kwargs):
    print(args, kwargs)
    if isinstance(args,str):
      args = shlex.split(args)
    if 'env' in kwargs and isinstance(kwargs['env'],str):
      if kwargs['env'] == "":
        kwargs['env'] = None
      else:  
        kwargs['env'] = self.str_to_dict(kwargs['env'])
    po = subprocess.Popen(args, **kwargs) 
    return(po)    

  def run(self, *args, **kwargs):
    self.subprocess_popen(f"fiftyone app launch --port={self.port} --address={self.host}")
    print("started fiftyone")

class MyFlow(L.LightningFlow):
  def __init__(self, *args, **kwargs):
    super().__init__(*args, **kwargs)
    self.fo = MyWork(
      cloud_compute=L.CloudCompute("cpu-small"),
      cloud_build_config=FiftyOneBuildConfig(),
    )
  def run(self):
    self.fo.run()
  def configure_layout(self):
    fo = {"name": "fo", "content": self.fo}
    return([fo])

if __name__ == "__main__":
  app = L.LightningApp(MyFlow())

happens on GPU instance.
checking on CPU instance.

[root.my_work] 2022-06-25T17:26:54.712Z 2022-06-25 17:26:54.712 INFO    matplotlib.font_manager: generated new fontManager
[root.my_work] 2022-06-25T17:26:56.340Z Uncaught exception
[root.my_work] 2022-06-25T17:26:56.340Z Traceback (most recent call last):
[root.my_work] 2022-06-25T17:26:56.340Z     from .sample import (
[root.my_work] 2022-06-25T17:26:56.340Z     import eta.core.video as etav
[root.my_work] 2022-06-25T17:26:56.340Z   File "/content/venv/lib/python3.8/site-packages/eta/core/video.py", line 37, in <module>
[root.my_work] 2022-06-25T17:26:56.340Z     import cv2
[root.my_work] 2022-06-25T17:26:56.340Z   File "/content/venv/lib/python3.8/site-packages/cv2/__init__.py", line 181, in <module>
[root.my_work] 2022-06-25T17:26:56.340Z     bootstrap()
[root.my_work] 2022-06-25T17:26:56.340Z   File "/content/venv/lib/python3.8/site-packages/cv2/__init__.py", line 153, in bootstrap
[root.my_work] 2022-06-25T17:26:56.340Z     native_module = importlib.import_module("cv2")
[root.my_work] 2022-06-25T17:26:56.340Z   File "/usr/lib/python3.8/importlib/__init__.py", line 127, in import_module
[root.my_work] 2022-06-25T17:26:56.340Z     return _bootstrap._gcd_import(name[level:], package, level)

add ensemble method for training

more info at https://towardsdatascience.com/ensemble-methods-in-machine-learning-what-are-they-and-why-use-them-68ec3f9fef5f

fiftyone eval UI does not show up output

train UI and FI ui both need to be set with the output

fiftyone needs filename of video predictions

separate Fiftyone into separate work

Issue: Runtime error database disk image is malformed

We have run into this issue twice now.

We are running ~/Pose-app/app.py to run lightning pose.

It seems like something gets messed up in sqlite. The problem is we haven't been able to clear the error. We only solved this the first time with a complete re-install.

If you understand how to reset this database to somehow get lightning-pose going again, that would be helpful.

We tried removing and re-installing ~/venv-label-studio, but that did not fix the problem.

Here is the graphical output from app.py:
Runtime error
database disk image is malformed

Traceback (most recent call last):
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute
return self.cursor.execute(sql, params)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/backends/sqlite3/base.py", line 423, in execute
return Database.Cursor.execute(self, query, params)
sqlite3.DatabaseError: database disk image is malformed

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/rest_framework/views.py", line 506, in dispatch
response = handler(request, *args, **kwargs)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/utils/decorators.py", line 43, in _wrapper
return bound_method(*args, **kwargs)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/label_studio/projects/api.py", line 165, in get
return super(ProjectListAPI, self).get(request, *args, **kwargs)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/rest_framework/generics.py", line 239, in get
return self.list(request, *args, **kwargs)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/rest_framework/mixins.py", line 40, in list
page = self.paginate_queryset(queryset)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/rest_framework/generics.py", line 171, in paginate_queryset
return self.paginator.paginate_queryset(queryset, self.request, view=self)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/rest_framework/pagination.py", line 204, in paginate_queryset
self.page = paginator.page(page_number)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/core/paginator.py", line 76, in page
number = self.validate_number(number)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/core/paginator.py", line 54, in validate_number
if number > self.num_pages:
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/utils/functional.py", line 48, in get
res = instance.dict[self.name] = self.func(instance)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/core/paginator.py", line 103, in num_pages
if self.count == 0 and not self.allow_empty_first_page:
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/utils/functional.py", line 48, in get
res = instance.dict[self.name] = self.func(instance)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/core/paginator.py", line 97, in count
return c()
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/models/query.py", line 412, in count
return self.query.get_count(using=self.db)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/models/sql/query.py", line 528, in get_count
number = obj.get_aggregation(using, ['__count'])['__count']
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/models/sql/query.py", line 513, in get_aggregation
result = compiler.execute_sql(SINGLE)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/models/sql/compiler.py", line 1175, in execute_sql
cursor.execute(sql, params)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/sentry_sdk/integrations/django/init.py", line 596, in execute
return real_execute(self, sql, params)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/backends/utils.py", line 66, in execute
return self._execute_with_wrappers(sql, params, many=False, executor=self._execute)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/backends/utils.py", line 75, in _execute_with_wrappers
return executor(sql, params, many, context)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute
return self.cursor.execute(sql, params)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/utils.py", line 90, in exit
raise dj_exc_value.with_traceback(traceback) from exc_value
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute
return self.cursor.execute(sql, params)
File "/home/plafave/venv-label-studio/lib/python3.8/site-packages/django/db/backends/sqlite3/base.py", line 423, in execute
return Database.Cursor.execute(self, query, params)
django.db.utils.DatabaseError: database disk image is malformed

use virtualenv in local and cloud

label-studio can not co-exist with lightning pip install. virtualenv run on the cloud. in order to make the app run locally and in the cloud, use the virutalenv in local as well.

CUDA out of memory error

I am running the full app on Ubunto 22.10 with RTX3060 12Gb GPU running CUDA 12.0.

I launch the app with the command:

lightning run app app.py --env NVIDIA_DRIVER_CAPABILITIES=compute,utility,video

I was able to train the "supervised" model, but when attempting to train the "semi-super" model, the app crashes. The terminal shows this just before the crash:

torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 11.76 GiB total capacity; 9.16 GiB already allocated; 38.31 MiB free; 9.24 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Clearly the error is making a suggestion, but I am not knowledgeable enough to know how to adjust that parameter in practice. Any suggestions?

tensorboard: first output dir does not show date/time in labeling

tb_logs/my_base_toy_model/version_0 does not seem right

refactor to correctly use distributed storage

distributed storage is required pass files amount the following LightningWork components:

4 tracer scripts
fiftyone
cvat

nvidla dali sometimes does not install

tried the following combinations

nvidia-pyindex
#--extra-index-url https://developer.download.nvidia.com/compute/redist
#nvidia-dali-cuda110
#nvidia-dali-cuda110

�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.203Z �[0m  Downloading nvidia-dali-cuda110-0.0.1.dev5.tar.gz (8.0 kB)
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.210Z �[0m  Preparing metadata (setup.py): started
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.440Z �[0m  Preparing metadata (setup.py): finished with status 'error'
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m  error: subprocess-exited-with-error
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m  
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m  × python setup.py egg_info did not run successfully.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m  │ exit code: 1
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m  ╰─> [19 lines of output]
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      Traceback (most recent call last):
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m        File "<string>", line 2, in <module>
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m        File "<pip-setuptools-caller>", line 34, in <module>
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m        File "/tmp/pip-install-4b_0_nh7/nvidia-dali-cuda110_6495ec6235ba46a7bcb66b3fcec33210/setup.py", line 150, in <module>
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m          raise RuntimeError(open("ERROR.txt", "r").read())
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      RuntimeError:
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      ###########################################################################################
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      The package you are trying to install is only a placeholder project on PyPI.org repository.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      This package is hosted on NVIDIA Python Package Index.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      This package can be installed as:
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      ```
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      $ pip install nvidia-pyindex
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      $ pip install nvidia-dali-cuda110
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      ```
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      Please refer to NVIDIA DALI installation guide for instructions:
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      https://docs.nvidia.com/deeplearning/dali/user-guide/docs/installation.html
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      ###########################################################################################
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m      [end of output]
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m  
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.446Z �[0m  note: This error originates from a subprocess, and is likely not a problem with pip.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.448Z �[0merror: metadata-generation-failed
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.448Z �[0m× Encountered error while generating package metadata.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.448Z �[0m╰─> See above for output.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.448Z �[0mnote: This is an issue with the package mentioned above, not pip.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.448Z �[0mhint: See above for details.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.452Z �[0mWARNING: You are using pip version 22.0.4; however, version 22.1.2 is available.
�[38;2;121;46;229;1m[root.my_work] �[38;2;224;44;45;22m2022-06-25T16:47:24.452Z �[0mYou should consider upgrading via the '/content/venv/bin/python -m pip install --upgrade pip' command.

consolidate UI screen to single UI screen with multiple panels

add video upload feature

parsing fiftyone output when empty

Existing Fifityone datasets Migrating database to v0.16.5, No datasets found is parsed as a dataset name

fifityone install inside LAI conflict

python -m pip install fiftyone

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
aiobotocore 2.1.2 requires botocore<1.23.25,>=1.23.24, but you have botocore 1.25.9 which is incompatible.

cloud deployment fails

import fiftyone causes lightning in cloud to stop. remove the all import fiftyone.

[flow] 2022-05-27T17:38:27.209762280Z + python -m pip install redis lightning --extra-index-url https://_json_key_base64: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@us-central1-python.pkg.dev/grid-backend-266721/xpi/simple
[flow] 2022-05-27T17:38:27.711815770Z Looking in indexes: https://pypi.org/simple, https://_json_key_base64:****@us-central1-python.pkg.dev/grid-backend-266721/xpi/simple
[flow] 2022-05-27T17:38:27.712247092Z Requirement already satisfied: redis in ./venv/lib/python3.8/site-packages (4.3.1)
[flow] 2022-05-27T17:38:28.004890630Z Collecting lightning
[flow] 2022-05-27T17:38:28.248372207Z   Downloading https://us-central1-python.pkg.dev/grid-backend-266721/xpi/lightning/lightning-0.0.49-py3-none-any.whl (927 kB)
[flow] 2022-05-27T17:38:28.272108438Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 927.1/927.1 KB 47.5 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:28.288236631Z Requirement already satisfied: async-timeout>=4.0.2 in ./venv/lib/python3.8/site-packages (from redis) (4.0.2)
[flow] 2022-05-27T17:38:28.289299256Z Requirement already satisfied: deprecated>=1.2.3 in ./venv/lib/python3.8/site-packages (from redis) (1.2.13)
[flow] 2022-05-27T17:38:28.290058490Z Requirement already satisfied: packaging>=20.4 in ./venv/lib/python3.8/site-packages (from redis) (21.3)
[flow] 2022-05-27T17:38:28.379775679Z Collecting starsessions
[flow] 2022-05-27T17:38:28.408442726Z   Downloading starsessions-1.2.3-py3-none-any.whl (10 kB)
[flow] 2022-05-27T17:38:28.544528112Z Collecting requests
[flow] 2022-05-27T17:38:28.548715814Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
[flow] 2022-05-27T17:38:28.557184497Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 10.2 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:28.648108123Z Collecting fsspec==2022.01.0
[flow] 2022-05-27T17:38:28.652155003Z   Downloading fsspec-2022.1.0-py3-none-any.whl (133 kB)
[flow] 2022-05-27T17:38:28.659708732Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.2/133.2 KB 30.1 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:28.774760551Z Collecting croniter
[flow] 2022-05-27T17:38:28.778717711Z   Downloading croniter-1.3.5-py2.py3-none-any.whl (17 kB)
[flow] 2022-05-27T17:38:28.895794241Z Collecting urllib3
[flow] 2022-05-27T17:38:28.901589220Z   Downloading urllib3-1.26.9-py2.py3-none-any.whl (138 kB)
[flow] 2022-05-27T17:38:28.908935238Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.0/139.0 KB 32.1 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:29.008119396Z Collecting s3fs==2022.1.0
[flow] 2022-05-27T17:38:29.012052076Z   Downloading s3fs-2022.1.0-py3-none-any.whl (25 kB)
[flow] 2022-05-27T17:38:29.139029077Z Collecting deepdiff>=5.7.0
[flow] 2022-05-27T17:38:29.143334809Z   Downloading deepdiff-5.8.1-py3-none-any.whl (69 kB)
[flow] 2022-05-27T17:38:29.149744582Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 69.5/69.5 KB 17.4 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:29.315822274Z Collecting fastapi[all]
[flow] 2022-05-27T17:38:29.321183201Z   Downloading fastapi-0.78.0-py3-none-any.whl (54 kB)
[flow] 2022-05-27T17:38:29.327737285Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.6/54.6 KB 13.3 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:29.465665662Z Collecting GitPython
[flow] 2022-05-27T17:38:29.469639002Z   Downloading GitPython-3.1.27-py3-none-any.whl (181 kB)
[flow] 2022-05-27T17:38:29.477843825Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 181.2/181.2 KB 35.9 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:29.572903642Z Collecting py
[flow] 2022-05-27T17:38:29.576770362Z   Downloading py-1.11.0-py2.py3-none-any.whl (98 kB)
[flow] 2022-05-27T17:38:29.583700007Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.7/98.7 KB 21.7 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:29.683874531Z Collecting click
[flow] 2022-05-27T17:38:29.687822651Z   Downloading click-8.1.3-py3-none-any.whl (96 kB)
[flow] 2022-05-27T17:38:29.694178114Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 96.6/96.6 KB 25.9 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:29.785062170Z Collecting jinja2==3.0.3
[flow] 2022-05-27T17:38:29.788988450Z   Downloading Jinja2-3.0.3-py3-none-any.whl (133 kB)
[flow] 2022-05-27T17:38:29.795940446Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.6/133.6 KB 33.2 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:29.875393243Z Collecting lightning-cloud==0.0.16
[flow] 2022-05-27T17:38:30.036628740Z   Downloading https://us-central1-python.pkg.dev/grid-backend-266721/xpi/lightning-cloud/lightning_cloud-0.0.16-py3-none-any.whl (275 kB)
[flow] 2022-05-27T17:38:30.045750347Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 275.5/275.5 KB 46.1 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:30.231106858Z Collecting MarkupSafe>=2.0
[flow] 2022-05-27T17:38:30.235212929Z   Downloading MarkupSafe-2.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
[flow] 2022-05-27T17:38:30.320757277Z Collecting six
[flow] 2022-05-27T17:38:30.324756548Z   Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
[flow] 2022-05-27T17:38:30.422861031Z Collecting websocket-client
[flow] 2022-05-27T17:38:30.426844671Z   Downloading websocket_client-1.3.2-py3-none-any.whl (54 kB)
[flow] 2022-05-27T17:38:30.432985723Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.3/54.3 KB 15.1 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:30.655041431Z Collecting rich
[flow] 2022-05-27T17:38:30.663744916Z   Downloading rich-12.4.4-py3-none-any.whl (232 kB)
[flow] 2022-05-27T17:38:30.672613131Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 232.0/232.0 KB 38.9 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:30.767572948Z Collecting pyjwt
[flow] 2022-05-27T17:38:30.771587829Z   Downloading PyJWT-2.4.0-py3-none-any.whl (18 kB)
[flow] 2022-05-27T17:38:30.877097530Z Collecting aiobotocore~=2.1.0
[flow] 2022-05-27T17:38:30.881473232Z   Downloading aiobotocore-2.1.2.tar.gz (58 kB)
[flow] 2022-05-27T17:38:30.888149327Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.7/58.7 KB 13.5 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:30.903167903Z   Preparing metadata (setup.py): started
[flow] 2022-05-27T17:38:32.787372416Z   Preparing metadata (setup.py): finished with status 'done'
[flow] 2022-05-27T17:38:33.345114716Z Collecting aiohttp<=4
[flow] 2022-05-27T17:38:33.349484638Z   Downloading aiohttp-3.8.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.3 MB)
[flow] 2022-05-27T17:38:33.368169594Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 82.4 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:33.493773288Z Collecting ordered-set<4.2.0,>=4.1.0
[flow] 2022-05-27T17:38:33.498144451Z   Downloading ordered_set-4.1.0-py3-none-any.whl (7.6 kB)
[flow] 2022-05-27T17:38:33.526446886Z Requirement already satisfied: wrapt<2,>=1.10 in ./venv/lib/python3.8/site-packages (from deprecated>=1.2.3->redis) (1.14.1)
[flow] 2022-05-27T17:38:33.530208535Z Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in ./venv/lib/python3.8/site-packages (from packaging>=20.4->redis) (3.0.8)
[flow] 2022-05-27T17:38:33.634355039Z Collecting python-dateutil
[flow] 2022-05-27T17:38:33.638431440Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
[flow] 2022-05-27T17:38:33.647706767Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 KB 42.4 MB/s eta 0:00:00
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[flow] 2022-05-27T17:38:42.197126138Z Building wheels for collected packages: aiobotocore, python-multipart
[flow] 2022-05-27T17:38:42.197806882Z   Building wheel for aiobotocore (setup.py): started
[flow] 2022-05-27T17:38:44.323794904Z   Building wheel for aiobotocore (setup.py): finished with status 'done'
[flow] 2022-05-27T17:38:44.324289017Z   Created wheel for aiobotocore: filename=aiobotocore-2.1.2-py3-none-any.whl size=55994 sha256=506940770f2f0891a9ac97b601046e75ddd68e7819a05b85c210028274109321
[flow] 2022-05-27T17:38:44.324589598Z   Stored in directory: /home/zeus/.cache/pip/wheels/26/b9/ce/f16fb609a4f551fc9dee2112337a18600684c9544038124876
[flow] 2022-05-27T17:38:44.328562758Z   Building wheel for python-multipart (setup.py): started
[flow] 2022-05-27T17:38:46.364995158Z   Building wheel for python-multipart (setup.py): finished with status 'done'
[flow] 2022-05-27T17:38:46.365625201Z   Created wheel for python-multipart: filename=python_multipart-0.0.5-py3-none-any.whl size=31678 sha256=1e4ff3c31b1455b86dd383eb7d8d11b271a646bce36dfaf4a061e86b6ac56107
[flow] 2022-05-27T17:38:46.365873553Z   Stored in directory: /home/zeus/.cache/pip/wheels/9e/fc/1c/cf980e6413d3ee8e70cd8f39e2366b0f487e3e221aeb452eb0
[flow] 2022-05-27T17:38:46.368098494Z Successfully built aiobotocore python-multipart
[flow] 2022-05-27T17:38:46.837842586Z Installing collected packages: commonmark, websockets, websocket-client, uvloop, urllib3, ujson, typing-extensions, sniffio, smmap, six, pyyaml, python-dotenv, pyjwt, pygments, py, orjson, ordered-set, multidict, MarkupSafe, jmespath, itsdangerous, idna, httptools, h11, fsspec, frozenlist, dnspython, click, charset-normalizer, certifi, attrs, asgiref, yarl, uvicorn, rich, requests, python-multipart, python-dateutil, pydantic, jinja2, gitdb, email_validator, deepdiff, anyio, aiosignal, aioitertools, watchgod, starlette, GitPython, croniter, botocore, aiohttp, starsessions, fastapi, aiobotocore, s3fs, lightning-cloud, lightning
[flow] 2022-05-27T17:38:51.538034805Z Successfully installed GitPython-3.1.27 MarkupSafe-2.1.1 aiobotocore-2.1.2 aiohttp-3.8.1 aioitertools-0.10.0 aiosignal-1.2.0 anyio-3.6.1 asgiref-3.5.2 attrs-21.4.0 botocore-1.23.24 certifi-2022.5.18.1 charset-normalizer-2.0.12 click-8.1.3 commonmark-0.9.1 croniter-1.3.5 deepdiff-5.8.1 dnspython-2.2.1 email_validator-1.2.1 fastapi-0.78.0 frozenlist-1.3.0 fsspec-2022.1.0 gitdb-4.0.9 h11-0.13.0 httptools-0.4.0 idna-3.3 itsdangerous-2.1.2 jinja2-3.0.3 jmespath-0.10.0 lightning-0.0.49 lightning-cloud-0.0.16 multidict-6.0.2 ordered-set-4.1.0 orjson-3.6.8 py-1.11.0 pydantic-1.9.1 pygments-2.12.0 pyjwt-2.4.0 python-dateutil-2.8.2 python-dotenv-0.20.0 python-multipart-0.0.5 pyyaml-6.0 requests-2.27.1 rich-12.4.4 s3fs-2022.1.0 six-1.16.0 smmap-5.0.0 sniffio-1.2.0 starlette-0.19.1 starsessions-1.2.3 typing-extensions-4.2.0 ujson-5.3.0 urllib3-1.26.9 uvicorn-0.17.6 uvloop-0.16.0 watchgod-0.8.2 websocket-client-1.3.2 websockets-10.3 yarl-1.7.2
[flow] 2022-05-27T17:38:51.838633568Z WARNING: You are using pip version 22.0.4; however, version 22.1.1 is available.
[flow] 2022-05-27T17:38:51.838672278Z You should consider upgrading via the '/content/venv/bin/python -m pip install --upgrade pip' command.
[flow] 2022-05-27T17:38:52.220502048Z + python -m pip install -r requirements.txt
[flow] 2022-05-27T17:38:52.768262290Z Collecting git+https://github.com/pytorch/hydra-torch (from -r requirements.txt (line 16))
[flow] 2022-05-27T17:38:52.769049194Z   Cloning https://github.com/pytorch/hydra-torch to /tmp/pip-req-build-4ulivo1i
[flow] 2022-05-27T17:38:53.118731770Z   Resolved https://github.com/pytorch/hydra-torch to commit 0bd477ce14fe31de511004ab745ce4f3b6b2e7a5
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[flow] 2022-05-27T17:38:56.038583589Z Collecting fiftyone
[flow] 2022-05-27T17:38:56.065060105Z   Downloading fiftyone-0.16.1-py3-none-any.whl (1.5 MB)
[flow] 2022-05-27T17:38:56.099131140Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.5/1.5 MB 50.7 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:56.149992711Z Collecting tensorboard
[flow] 2022-05-27T17:38:56.155798481Z   Downloading tensorboard-2.9.0-py3-none-any.whl (5.8 MB)
[flow] 2022-05-27T17:38:56.210902124Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.8/5.8 MB 111.7 MB/s eta 0:00:00
[flow] 2022-05-27T17:38:56.287985510Z Collecting torch
[flow] 2022-05-27T17:38:56.293019726Z   Downloading torch-1.11.0-cp38-cp38-manylinux1_x86_64.whl (750.6 MB)
[flow] 2022-05-27T17:39:06.786810978Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 750.6/750.6 MB 1.8 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.200394284Z Collecting numpy
[flow] 2022-05-27T17:39:08.206448405Z   Downloading numpy-1.22.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.9 MB)
[flow] 2022-05-27T17:39:08.364272906Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16.9/16.9 MB 93.6 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.476558532Z Collecting streamlit
[flow] 2022-05-27T17:39:08.481683059Z   Downloading streamlit-1.9.1-py2.py3-none-any.whl (10.1 MB)
[flow] 2022-05-27T17:39:08.573855062Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.1/10.1 MB 114.2 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.605252793Z Collecting streamlit_autorefresh
[flow] 2022-05-27T17:39:08.611726396Z   Downloading streamlit_autorefresh-0.0.1-py3-none-any.whl (345 kB)
[flow] 2022-05-27T17:39:08.621057934Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 345.3/345.3 KB 56.3 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.716528684Z Collecting watchdog
[flow] 2022-05-27T17:39:08.722756176Z   Downloading watchdog-2.1.8-py3-none-manylinux2014_x86_64.whl (77 kB)
[flow] 2022-05-27T17:39:08.729675512Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.5/77.5 KB 18.6 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.758243318Z Collecting streamlit-ace
[flow] 2022-05-27T17:39:08.769290545Z   Downloading streamlit_ace-0.1.1-py3-none-any.whl (3.6 MB)
[flow] 2022-05-27T17:39:08.806874488Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.6/3.6 MB 106.3 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.843793047Z Collecting sh
[flow] 2022-05-27T17:39:08.849073944Z   Downloading sh-1.14.2-py2.py3-none-any.whl (40 kB)
[flow] 2022-05-27T17:39:08.855284366Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.8/40.8 KB 9.8 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.889780083Z Collecting hydra-core
[flow] 2022-05-27T17:39:08.895736954Z   Downloading hydra_core-1.2.0-py3-none-any.whl (151 kB)
[flow] 2022-05-27T17:39:08.903175792Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 151.1/151.1 KB 33.2 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:08.969984675Z Collecting torchvision
[flow] 2022-05-27T17:39:08.975689795Z   Downloading torchvision-0.12.0-cp38-cp38-manylinux1_x86_64.whl (21.0 MB)
[flow] 2022-05-27T17:39:09.159134676Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 93.8 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:09.206994952Z Collecting hydra-joblib-launcher
[flow] 2022-05-27T17:39:09.212077858Z   Downloading hydra_joblib_launcher-1.2.0-py3-none-any.whl (5.2 kB)
[flow] 2022-05-27T17:39:09.302178320Z Collecting omegaconf
[flow] 2022-05-27T17:39:09.306480123Z   Downloading omegaconf-2.2.1-py3-none-any.whl (78 kB)
[flow] 2022-05-27T17:39:09.313550249Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 79.0/79.0 KB 17.5 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:09.315886671Z Requirement already satisfied: deepdiff in ./venv/lib/python3.8/site-packages (from -r requirements.txt (line 20)) (5.8.1)
[flow] 2022-05-27T17:39:09.359342664Z Collecting black
[flow] 2022-05-27T17:39:09.370702852Z   Downloading black-22.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB)
[flow] 2022-05-27T17:39:09.389752080Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.5/1.5 MB 92.5 MB/s eta 0:00:00
[flow] 2022-05-27T17:39:09.411725293Z Collecting geomloss
[flow] 2022-05-27T17:39:09.418105675Z   Downloading geomloss-0.2.5.tar.gz (26 kB)
[flow] 2022-05-27T17:39:09.430242828Z   Preparing metadata (setup.py): started
[flow] 2022-05-27T17:39:09.659735336Z   Preparing metadata (setup.py): finished with status 'error'
[flow] 2022-05-27T17:39:09.666485301Z   error: subprocess-exited-with-error
[flow] 2022-05-27T17:39:09.666494261Z   
[flow] 2022-05-27T17:39:09.666497261Z   × python setup.py egg_info did not run successfully.
[flow] 2022-05-27T17:39:09.666500541Z   │ exit code: 1
[flow] 2022-05-27T17:39:09.666503341Z   ╰─> [10 lines of output]
[flow] 2022-05-27T17:39:09.666506341Z       Traceback (most recent call last):
[flow] 2022-05-27T17:39:09.666508921Z         File "<string>", line 2, in <module>
[flow] 2022-05-27T17:39:09.666512101Z         File "<pip-setuptools-caller>", line 34, in <module>
[flow] 2022-05-27T17:39:09.666515141Z         File "/tmp/pip-install-ja7jf_xj/geomloss_7b085f1acfc44c01b6332645005b299c/setup.py", line 14, in <module>
[flow] 2022-05-27T17:39:09.666518011Z           import geomloss
[flow] 2022-05-27T17:39:09.666520371Z         File "/tmp/pip-install-ja7jf_xj/geomloss_7b085f1acfc44c01b6332645005b299c/geomloss/__init__.py", line 5, in <module>
[flow] 2022-05-27T17:39:09.666523131Z           from .samples_loss import SamplesLoss
[flow] 2022-05-27T17:39:09.666525481Z         File "/tmp/pip-install-ja7jf_xj/geomloss_7b085f1acfc44c01b6332645005b299c/geomloss/samples_loss.py", line 1, in <module>
[flow] 2022-05-27T17:39:09.666528111Z           import torch
[flow] 2022-05-27T17:39:09.666530311Z       ModuleNotFoundError: No module named 'torch'
[flow] 2022-05-27T17:39:09.666532591Z       [end of output]
[flow] 2022-05-27T17:39:09.666534811Z   
[flow] 2022-05-27T17:39:09.666536991Z   note: This error originates from a subprocess, and is likely not a problem with pip.
[flow] 2022-05-27T17:39:09.668737702Z error: metadata-generation-failed
[flow] 2022-05-27T17:39:09.668749722Z × Encountered error while generating package metadata.
[flow] 2022-05-27T17:39:09.668752693Z ╰─> See above for output.
[flow] 2022-05-27T17:39:09.668758073Z note: This is an issue with the package mentioned above, not pip.
[flow] 2022-05-27T17:39:09.668760823Z hint: See above for details.
[flow] 2022-05-27T17:39:09.672873383Z WARNING: You are using pip version 22.0.4; however, version 22.1.1 is available.
[flow] 2022-05-27T17:39:09.672883433Z You should consider upgrading via the '/content/venv/bin/python -m pip install --upgrade pip' command.

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