lightning-universe / training-studio_app Goto Github PK

🚀 Feature

View the logs for a particular sweep or notebook

🐛 Bug

Following example_4 the trainer app

The database tab is not loading

To Reproduce

Steps to reproduce the behavior:
1- follow readme to install package and requirements
2- run lightning run app examples/4_app_sweeper.py
the page shows a spinner

🐛 Bug

There's no CI setup in the repo and the package building

To Reproduce

Steps to reproduce the behavior:

1. Go to '...'
2. Run '....'
3. Scroll down to '....'
4. See error

Code sample

Expected behavior

Environment

• PyTorch Version (e.g., 1.0):
• OS (e.g., Linux):
• How you installed PyTorch (conda, pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version:
• GPU models and configuration:
• Any other relevant information:

Additional context

🚀 Feature

Right now, the Optimizer API requires to be passed a BaseObjective Work. However, this isn't 100 % required in most case.

Instead, we could have this alternative API.

Optimizer(
    framework="pytorch_lightning|keras|tensorflow|sklearn"
    distributions={"lr": Uniform(0, 1)}
)

Motivation

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

TODOS:

• [] Create a TensorboardController
• [] Create a RunTensoboardCommand, RunTensoboardConfig in lightning_hpo/commands/tensorboard/run.py
• [] Implement a run_tensorboard_handler in the TensorboardController

API:

lightning run tensorboard --sweep_id=..
Started a tensorboard server with id: {,,,}

lightning stop tensorboard {TENSORBOARD_ID}

Pitch

Alternatives

Additional context

🚀 Feature

TODOS:

• (EA) Release lightning-notebook to PyPI (#44)
• (EA) Add run notebook (#28)
• (EA) Add stop notebook (#29)
• Show notebook status (#45)
• List notebooks (#43)
• Add restart notebook (#41)
• Mount s3 drive to notebook (#53)

Motivation

Pitch

Alternatives

Additional context

🐛 Bug

Refused to frame 'https://wandb.ai/' because an ancestor violates the following Content Security Policy directive: "frame-ancestors 'self'".

To Reproduce

lightning run app app.py --cloud --env xxxx --env xxx

Code sample

Expected behavior

Environment

Additional context

🚀 Feature

Motivation

TODOS:

• [] Create a ViewSweepCommand and ViewSweepConfig in lightning_hpo/commands/sweep/view.py and add a view_sweep_handler in the SweeperController.
  • [] In the view_sweep_handler, returns all the SweepConfigs
  • [] In the ViewSweepCommand, use rich table to pretty print the Sweeps, Trials

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

Pitch

Alternatives

Additional context

🚀 Feature

Command to list sweeps / notebooks with their status

Something like:
first connect to app, then:
lightning cmd show sweeps

🚀 Feature

Motivation

TODOS:

• Add Drives Metadata to NotebookConfig
• Add Drives parsing to the RunNotebookCommand
• Dynamically create the Drives in the NotebookController and pass them to the Notebook. Propagate the drives down to the works.

API:

lightning run notebook ... --drives {S3_URL}:{MOUNT_DIR} (--env {AWS_CREDENTIALS})

Pitch

Alternatives

Additional context

🚀 Feature

Launch a notebook from the CLI:

• Implement the command to add entry to DB
• Implement the controller to launch a notebook work

🚀 Feature

Motivation

TODOS:

• [] (EA) Stop Sweeps / Trials (#49)
• [] (EA) Delete Sweeps / Trials (#48)
• [] Mount s3 Drive to Sweep / Trials (#51)
• [] View Sweeps / Trials (#50)

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

As a user, I want to list of the available notebooks with who created them.

TODOS:

• Create a command or simple handlers to return the list of notebooks

Pseudo-Code:

class NotebookController(...):

    def list_notebooks_handler(self) -> List[str]:
        return list(self.notebooks.keys())

    def configure_commands(self):
        return [{"list notebooks": self.list_notebooks_handler}]

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

Pitch

Alternatives

Additional context

🐛 Bug

int HPO param is passed as float causing jsonparsearg to reject --trainer.max_epochs=3.0

train.py: error: Configuration check failed :: Parser key "trainer.max_epochs": Value "3.0" does not validate against any of the types in typing.Union[int, NoneType]:
  - Expected a <class 'int'> but got "3.0"
  - Expected a <class 'NoneType'> but got "3.0"
train.py: error: Configuration check failed :: Parser key "trainer.max_epochs": Value "9.0" does not validate against any of the types in typing.Union[int, NoneType]:
  - Expected a <class 'int'> but got "9.0"
  - Expected a <class 'NoneType'> but got "9.0"

To Reproduce

lightning run app examples/2_app_pytorch_lightning.py

Code sample

Expected behavior

Environment

Additional context

🚀 Feature

Wandb recently released a new way to generate sweep graphs using their API Client.

api = wandb.Api()

wandb.require('report-editing:v0')
report = api.create_report(project='pytorch-sweeps-demo')
report.title = 'A fabulous title'
report.description = 'A descriptive description'

panel_grid = wb.PanelGrid()
run_set = wb.RunSet()
run_set.entity = '_scott'
run_set.project = 'pytorch-sweeps-demo'
panel_grid.runsets = [run_set]
coords = wb.ParallelCoordinatesPlot(columns=[wb.reports.PCColumn('batch_size'), wb.reports.PCColumn('epoch'), wb.reports.PCColumn('loss')])
panel_grid.panels = [coords]
run_set.set_filters_with_python_expr('User == "_scott"')
report.blocks = [panel_grid]
report.save()

api = wandb.Api()
project = 'pytorch-sweeps-demo'
wandb.require('report-editing:v0')
run_set = wb.RunSet(project=project)
coords = wb.ParallelCoordinatesPlot(columns=[wb.reports.PCColumn('batch_size'), wb.reports.PCColumn('epoch'), wb.reports.PCColumn('loss')])
panel_grid = wb.PanelGrid(runsets=[run_set], panels=[coords])
report = api.create_report(project='pytorch-sweeps-demo', blocks=[panel_grid])
report.save()
``

### Motivation

<!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too -->

### Pitch

<!-- A clear and concise description of what you want to happen. -->

### Alternatives

<!-- A clear and concise description of any alternative solutions or features you've considered, if any. -->

### Additional context

<!-- Add any other context or screenshots about the feature request here. -->

🚀 Feature

Add __init__.py in lightning_hpo.algorithm and lightning_hpo.distribution to support installing with

pip install git+https://github.com/Lightning-AI/lightning-hpo.git

Motivation

Enable use in personal projects and begin working towards full release on pypi.

Pitch

Add blank __init__.py in both directories.

Alternatives

Leave as is.

Additional context

None

🚀 Feature

Motivation

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

Release lightning-notebook to PiPy so we can use its component.

Pitch

Alternatives

Additional context

🐛 Bug

Adding a notebook through the UI will cause an error if the works aren't ready yet. We should probably have a spinner / countdown in the app which waits for the works to become ready before letting you in

🐛 Bug

To Reproduce

Steps to reproduce the behavior:

1. Go to '...'
2. Run '....'
3. Scroll down to '....'
4. See error

Code sample

Expected behavior

Environment

• PyTorch Version (e.g., 1.0):
• OS (e.g., Linux):
• How you installed PyTorch (conda, pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version:
• GPU models and configuration:
• Any other relevant information:

Additional context

🚀 Feature

Command to download an artefact after having listed them

TODOS:

• [] Add a DownloadArtefactCommand in lightning_hpo/commands/artefacts/download.py. Simply use LightningClient and list the artifacts. Use this reference.

🚀 Feature

Motivation

TODOS:

• [] Create a StopSweepCommand and StopSweepConfig in lightning_hpo/commands/sweep/stop.py and add a stop_sweep_handler in the SweeperController. If the Sweep exists, we need to:
  • [] Stop it from the App database
  • [] Stop the works or the specific trials.

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

TODOS:

• [] Add Drives Metadata to SweepConfig
• [] Add Drives parsing to the RunSweepCommand
• [] Dynamically create the Drives in the SweepController and pass them to the Sweep. Propagate the drives down to the works.

API:

lightning run sweep ... --drives {S3_URL}:{MOUNT_DIR} (--env {AWS_CREDENTIALS})

Pitch

Alternatives

Additional context

🐛 Bug

To Reproduce

TODO: Add support for multi include or exclude.

Code sample

Expected behavior

Environment

• PyTorch Version (e.g., 1.0):
• OS (e.g., Linux):
• How you installed PyTorch (conda, pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version:
• GPU models and configuration:
• Any other relevant information:

Additional context

🚀 Feature

In the More dropdown for notebooks, should be a button to stop / start the notebook

🚀 Feature

Motivation

TODOS:

• Add a show notebooks command to provide a structured table of the notebook statuses.

Fixes #69

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

TODOS:

• [] Add logger to the SweepConfig
• [] Create a Tensorboard Component which takes a Sweep Drive which is passed to all the trials.

class Tensorboard(LightningWork):

    def run(self, drive):
        Popen(f"tensorboard --log_dir={drive.url}", env=os.environ)

• [] Push the metrics to Drive from all the trials (How do we automate this ?)

Pitch

Alternatives

Additional context

🚀 Feature

Add the start time (since linux epoch) to the NotebookConfig. This would enable displaying the notebook runtime in the UI

🐛 Bug

error:

[flow] 2022-09-01T08:53:04.580Z ERROR: Found an exception when loading your application from examples/1_app_agnostic.py. Please, resolve it to run your app.
[flow] 2022-09-01T08:53:04.580Z Traceback (most recent call last):
[flow] 2022-09-01T08:53:04.580Z   File "examples/1_app_agnostic.py", line 5, in <module>
[flow] 2022-09-01T08:53:04.580Z     from lightning_hpo import Sweep
[flow] 2022-09-01T08:53:04.580Z   File "/content/venv/lib/python3.8/site-packages/lightning_hpo/__init__.py", line 22, in <module>
[flow] 2022-09-01T08:53:04.580Z     from lightning_hpo.components.sweep import Sweep  # noqa: E402
[flow] 2022-09-01T08:53:04.580Z   File "/content/venv/lib/python3.8/site-packages/lightning_hpo/components/sweep.py", line 5, in <module>
[flow] 2022-09-01T08:53:04.580Z     from lightning.app.components.python.tracer import Code
[flow] 2022-09-01T08:53:04.580Z ImportError: cannot import name 'Code' from 'lightning.app.components.python.tracer' (/content/venv/lib/python3.8/site-packages/lightning/app/components/python/tracer.py)
[flow] 2022-09-01T08:53:04.583Z ERROR: Found an exception when loading your application from examples/1_app_agnostic.py. Please, resolve it to run your app.
[flow] 2022-09-01T08:53:04.583Z Traceback (most recent call last):
[flow] 2022-09-01T08:53:04.583Z   File "examples/1_app_agnostic.py", line 5, in <module>
[flow] 2022-09-01T08:53:04.583Z     from lightning_hpo import Sweep
[flow] 2022-09-01T08:53:04.583Z   File "/content/venv/lib/python3.8/site-packages/lightning_hpo/__init__.py", line 22, in <module>
[flow] 2022-09-01T08:53:04.583Z     from lightning_hpo.components.sweep import Sweep  # noqa: E402
[flow] 2022-09-01T08:53:04.583Z   File "/content/venv/lib/python3.8/site-packages/lightning_hpo/components/sweep.py", line 5, in <module>
[flow] 2022-09-01T08:53:04.583Z     from lightning.app.components.python.tracer import Code
[flow] 2022-09-01T08:53:04.583Z ImportError: cannot import name 'Code' from 'lightning.app.components.python.tracer' (/content/venv/lib/python3.8/site-packages/lightning/app/components/python/tracer.py)
[flow] 2022-09-01T08:53:04.692Z ERROR: Found an exception when loading your application from examples/1_app_agnostic.py. Please, resolve it to run your app.
[flow] 2022-09-01T08:53:04.692Z Traceback (most recent call last):
[flow] 2022-09-01T08:53:04.692Z   File "examples/1_app_agnostic.py", line 5, in <module>
[flow] 2022-09-01T08:53:04.692Z     from lightning_hpo import Sweep
[flow] 2022-09-01T08:53:04.692Z   File "/content/venv/lib/python3.8/site-packages/lightning_hpo/__init__.py", line 22, in <module>
[flow] 2022-09-01T08:53:04.692Z     from lightning_hpo.components.sweep import Sweep  # noqa: E402
[flow] 2022-09-01T08:53:04.692Z   File "/content/venv/lib/python3.8/site-packages/lightning_hpo/components/sweep.py", line 5, in <module>
[flow] 2022-09-01T08:53:04.692Z     from lightning.app.components.python.tracer import Code
[flow] 2022-09-01T08:53:04.692Z ImportError: cannot import name 'Code' from 'lightning.app.components.python.tracer' (/content/venv/lib/python3.8/site-packages/lightning/app/components/python/tracer.py)
[flow] 2022-09-01T08:53:05.113Z INFO: Found dead components ['Flow', 'Server', 'root.hi_plot'], Exiting execution!!!

To Reproduce

lightning run app examples/1_app_agnostic.py --cloud

🚀 Feature

Command to list artefacts with filtering by sweep or notebook

TODOS:

• [] Add a ViewArtefactCommand in lightning_hpo/commands/artefacts/view.py. Simply use the LightningClient and list the artifacts. Use this reference.
• [] Use rich Tree to display the artifacts

Rich Tree example:

# https://github.com/Textualize/rich/blob/master/examples/tree.py
"""
Demonstrates how to display a tree of files / directories with the Tree renderable.
"""

import os
import pathlib
import sys

from rich import print
from rich.filesize import decimal
from rich.markup import escape
from rich.text import Text
from rich.tree import Tree


def walk_directory(directory: pathlib.Path, tree: Tree) -> None:
    """Recursively build a Tree with directory contents."""
    # Sort dirs first then by filename
    paths = sorted(
        pathlib.Path(directory).iterdir(),
        key=lambda path: (path.is_file(), path.name.lower()),
    )
    for path in paths:
        # Remove hidden files
        if path.name.startswith("."):
            continue
        if path.is_dir():
            style = "dim" if path.name.startswith("__") else ""
            branch = tree.add(
                f"[bold magenta]:open_file_folder: [link file://{path}]{escape(path.name)}",
                style=style,
                guide_style=style,
            )
            walk_directory(path, branch)
        else:
            text_filename = Text(path.name, "green")
            text_filename.highlight_regex(r"\..*$", "bold red")
            text_filename.stylize(f"link file://{path}")
            file_size = path.stat().st_size
            text_filename.append(f" ({decimal(file_size)})", "blue")
            icon = "🐍 " if path.suffix == ".py" else "📄 "
            tree.add(Text(icon) + text_filename)


try:
    directory = os.path.abspath(sys.argv[1])
except IndexError:
    print("[b]Usage:[/] python tree.py <DIRECTORY>")
else:
    tree = Tree(
        f":open_file_folder: [link file://{directory}]{directory}",
        guide_style="bold bright_blue",
    )
    walk_directory(pathlib.Path(directory), tree)
    print(tree) 

┃   ┃   ┃   ┃   ┃   ┗━━ 📄 test_scripts.cpython-38-pytest-7.1.2.pyc (2.1 kB)
┃   ┃   ┃   ┃   ┣━━ 🐍 __init__.py (0 bytes)
┃   ┃   ┃   ┃   ┗━━ 🐍 test_scripts.py (1.1 kB)
┃   ┃   ┃   ┗━━ 🐍 __init__.py (0 bytes)
┃   ┃   ┣━━ 📂 core_features_app
┃   ┃   ┃   ┣━━ 📂 __pycache__
┃   ┃   ┃   ┃   ┗━━ 📄 app.cpython-38.pyc (845 bytes)
┃   ┃   ┃   ┗━━ 🐍 app.py (422 bytes)
┃   ┃   ┣━━ 📂 custom_work_dependencies
┃   ┃   ┃   ┣━━ 📂 __pycache__
┃   ┃   ┃   ┃   ┣━━ 📄 __init__.cpython-38.pyc (193 bytes)
┃   ┃   ┃   ┃   ┗━━ 📄 app.cpython-38.pyc (2.7 kB)
┃   ┃   ┃   ┣━━ 🐍 __init__.py (0 bytes)
┃   ┃   ┃   ┗━━ 🐍 app.py (2.2 kB)
┃   ┃   ┣━━ 📂 idle_timeout
┃   ┃   ┃   ┣━━ 📂 __pycache__
┃   ┃   ┃   ┃   ┣━━ 📄 __init__.cpython-38.pyc (181 bytes)
┃   ┃   ┃   ┃   ┗━━ 📄 app.cpython-38.pyc (2.8 kB)
┃   ┃   ┃   ┣━━ 🐍 __init__.py (0 bytes)
┃   ┃   ┃   ┗━━ 🐍 app.py (2.8 kB)
┃   ┃   ┣━━ 🐍 __init__.py (0 bytes)
┃   ┃   ┣━━ 🐍 conftest.py (1.2 kB)
┃   ┃   ┣━━ 🐍 layout.py (544 bytes)
┃   ┃   ┣━━ 🐍 pickle_or_not.py (565 bytes)
┃   ┃   ┣━━ 🐍 test_argparse.py (1.8 kB)
┃   ┃   ┣━━ 🐍 test_boring_app.py (1.1 kB)
┃   ┃   ┣━━ 🐍 test_collect_failures.py (1.2 kB)
┃   ┃   ┣━━ 🐍 test_commands_and_api.py (1.5 kB)
┃   ┃   ┣━━ 🐍 test_core_features_app.py (647 bytes)
┃   ┃   ┣━━ 🐍 test_custom_work_dependencies.py (675 bytes)
┃   ┃   ┣━━ 🐍 test_drive.py (541 bytes)
┃   ┃   ┣━━ 🐍 test_idle_timeout.py (573 bytes)
┃   ┃   ┣━━ 🐍 test_multi_node.py (746 bytes)
┃   ┃   ┣━━ 🐍 test_payload.py (514 bytes)
┃   ┃   ┣━━ 🐍 test_quick_start.py (2.4 kB)
┃   ┃   ┣━━ 🐍 test_template_react_ui.py (1.0 kB)
┃   ┃   ┣━━ 🐍 test_template_streamlit_ui.py (1.1 kB)
┃   ┃   ┗━━ 🐍 test_v0_app.py (2.4 kB)

🚀 Feature

Stop notebook given the UID.

• Add command to change status in the DB
• Add logic to controller to stop the work if the status is STOPPED

🚀 Feature

Motivation

TODOS:

• [] (EA) Persist App State (#57)
• [] Download artifacts CLI (#31) (Local done)
• [] View artifacts CLI (#30)
• [] Utilities to explore Drive in notebooks (#58)

Pitch

Alternatives

Additional context

🐛 Bug

To Reproduce

You are connected to the local Lightning App.
📂 root
┣━━ 📂 artifacts
┃   ┗━━ 📂 drive
┃       ┗━━ 📂 code
┃           ┗━━ 📂 root.file_server
┃               ┗━━ 📄 thomas-0ed22042
┣━━ 📂 sweep_controller.sweeps.thomas-1fdc34f9.w_0.ws.0
┃   ┗━━ 📂 Users
┃       ┗━━ 📂 thomas
┃           ┗━━ 📂 Documents
┃               ┗━━ 📂 GitHub
┃                   ┗━━ 📂 LAI-lightning-hpo-App
┃                       ┗━━ 📂 wandb
┃                           ┗━━ 📂 lightning_logs
┃                               ┗━━ 📂 trial_0
┃                                   ┗━━ 📂 1z93ywba
┃                                       ┗━━ 📂 checkpoints
┃                                           ┗━━ 📄 epoch=0-step=20.ckpt
┣━━ 📂 w_0.ws.0
┃   ┗━━ 📂 Users
┃       ┗━━ 📂 thomas
┃           ┗━━ 📂 Documents
┃               ┗━━ 📂 GitHub
┃                   ┗━━ 📂 LAI-lightning-hpo-App
┃                       ┗━━ 📂 wandb
┃                           ┗━━ 📂 lightning_logs
┃                               ┗━━ 📂 Optimizing a Simple CNN over MNIST with Lightning HPO
┃                                   ┗━━ 📂 version_None
┃                                       ┗━━ 📂 checkpoints
┃                                           ┣━━ 📄 epoch=0-step=20-v7.ckpt
┃                                           ┗━━ 📄 epoch=1-step=40.ckpt
┣━━ 📂 w_0.ws.1
┃   ┗━━ 📂 Users
┃       ┗━━ 📂 thomas
┃           ┗━━ 📂 Documents
┃               ┗━━ 📂 GitHub
┃                   ┗━━ 📂 LAI-lightning-hpo-App
┃                       ┗━━ 📂 lightning_logs
┃                           ┣━━ 📂 version_11
┃                           ┃   ┗━━ 📂 checkpoints
┃                           ┃       ┗━━ 📄 epoch=0-step=20.ckpt
┃                           ┗━━ 📂 version_12
┃                               ┗━━ 📂 checkpoints
┃                                   ┗━━ 📄 epoch=1-step=40.ckpt
┣━━ 📂 w_1.ws.0
┃   ┗━━ 📂 Users
┃       ┗━━ 📂 thomas
┃           ┗━━ 📂 Documents
┃               ┗━━ 📂 GitHub
┃                   ┗━━ 📂 LAI-lightning-hpo-App
┃                       ┗━━ 📂 wandb
┃                           ┗━━ 📂 lightning_logs
┃                               ┗━━ 📂 Optimizing a Simple CNN over MNIST with Lightning HPO
┃                                   ┗━━ 📂 version_None
┃                                       ┗━━ 📂 checkpoints
┃                                           ┗━━ 📄 epoch=0-step=20-v9.ckpt
┗━━ 📂 w_1.ws.1
    ┗━━ 📂 Users
        ┗━━ 📂 thomas
            ┗━━ 📂 Documents
                ┗━━ 📂 GitHub
                    ┗━━ 📂 LAI-lightning-hpo-App
                        ┗━━ 📂 lightning_logs
                            ┗━━ 📂 version_13
                                ┗━━ 📂 checkpoints
                                    ┗━━ 📄 epoch=0-step=20.ckpt

Steps to reproduce the behavior:

1. Go to '...'
2. Run '....'
3. Scroll down to '....'
4. See error

Code sample

Expected behavior

Environment

• PyTorch Version (e.g., 1.0):
• OS (e.g., Linux):
• How you installed PyTorch (conda, pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version:
• GPU models and configuration:
• Any other relevant information:

Additional context

🚀 Feature

Motivation

When a notebook is stopped, all its artifacts are stored in the persistent storage. When restarting a notebook, we can simply re-download them all within the work.

TODOS:

• Delete the previous work objects but keep its state
• Pass a Path('.') object to the notebook.run method to download all the artifacts from the previous session. (Not MVP)

Pitch

Alternatives

Additional context

Refactor

There is duplicate code in lightning_hpo.loggers.wandb at ln47

🚀 Feature

Download the logs for a particular sweep

🚀 Feature

Motivation

TODOS:

• [] Create a DeleteSweepCommand and DeleteSweepConfig in lightning_hpo/commands/sweep/delete.py and add a delete_sweep_handler in the SweeperController. If the Sweep exists, we need to:
  - [] Delete it from the App database
  - [] Make a call to the control plane to delete the works. (Fundamental: Add support to del on the work)
  - [] Delete the sweep component from the SweeperController

Pitch

Alternatives

Additional context

🚀 Feature

In the More dropdown for notebooks should be a button to open the notebook in a tab

🚀 Feature

• add command to edit DB
• add controller to launch TB work

Needs a way to give the TB work access to the logs for that run / sweep (i.e. may need to merge multiple logs folders).

🚀 Feature

Add a few (3-4) pages with a basic explanation of this app...

Motivation

Additional context

🚀 Feature

Motivation

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

TODOS:

• [] Visualize metrics during the Sweep training for PL (#59)
• [] Visualize metrics once Sweep / Trials are finished (#61)

Pitch

Alternatives

Additional context

🐛 Bug

Following example_4 the trainer app

The dashboard is not loading

TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
Traceback:
File "/Users/mansy/src/lightning-hpo/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 556, in _run_script
    exec(code, module.__dict__)
File "/Users/mansy/src/lightning-hpo/venv/lib/python3.9/site-packages/lightning_app/frontend/streamlit_base.py", line 35, in <module>
    main()
File "/Users/mansy/src/lightning-hpo/venv/lib/python3.9/site-packages/lightning_app/frontend/streamlit_base.py", line 31, in main
    render_fn(flow_state)
File "/Users/mansy/src/lightning-hpo/lightning_hpo/controllers/sweeper.py", line 106, in render_fn
    resp = requests.get(state.db_url + "/general/", data=GeneralModel.from_cls(SweepConfig).json())

To Reproduce

Steps to reproduce the behavior:
1- follow readme to install package and requirements
2- run lightning run app examples/4_app_sweeper.py
the dashboard shows

🚀 Feature

Motivation

Creating a Shared Drive objects already works within a notebook through the AppState, but this won't worked with s3 Mount Drive.

from lightning.app.utilities.state import AppState

state = AppState()
print(state.component_name.drive.list())

Provide utilities to a list of app drives to help users investigate their artifacts

Pitch

Alternatives

Additional context

🚀 Feature

Motivation

TODOS

• [] Improve how Configs are stored.

References:

• Lightning-AI/lightning#14100
• Lightning-AI/lightning#14042

Pitch

Alternatives

Additional context