Open dimkab opened 1 month ago
I just ran the version on master
unmodified on my machine and I can't reproduce this - I get correct figures that look pretty much the same as the ones in the notebook now. Did you change the notebook in any way before you ran it? It looks to me like the data underlying the "DR-Monte Carlo" line could have been accidentally overwritten somehow with more draws from the "Plug-in" distribution.
Also, what versions of Pyro and PyTorch are you using?
I've ran it unmodified both on my macbook and also made a clean checkout on a remote linux machine, installed with pip install -e ".[test]"
. Same result as before. Attaching the conda env files.
For the linux machine:
name: chirho2
channels:
- conda-forge
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_gnu
- bzip2=1.0.8=h4bc722e_7
- ca-certificates=2024.8.30=hbcca054_0
- ld_impl_linux-64=2.43=h712a8e2_1
- libexpat=2.6.3=h5888daf_0
- libffi=3.4.2=h7f98852_5
- libgcc=14.2.0=h77fa898_1
- libgcc-ng=14.2.0=h69a702a_1
- libgomp=14.2.0=h77fa898_1
- libnsl=2.0.1=hd590300_0
- libsqlite=3.46.1=hadc24fc_0
- libuuid=2.38.1=h0b41bf4_0
- libxcrypt=4.4.36=hd590300_1
- libzlib=1.3.1=hb9d3cd8_2
- ncurses=6.5=he02047a_1
- openssl=3.3.2=hb9d3cd8_0
- pip=24.2=pyh8b19718_1
- python=3.11.10=hc5c86c4_3_cpython
- readline=8.2=h8228510_1
- setuptools=75.1.0=pyhd8ed1ab_0
- tk=8.6.13=noxft_h4845f30_101
- wheel=0.44.0=pyhd8ed1ab_0
- xz=5.2.6=h166bdaf_0
- pip:
- absl-py==2.1.0
- aiohappyeyeballs==2.4.3
- aiohttp==3.10.10
- aiosignal==1.3.1
- alabaster==0.7.16
- anyio==4.6.2.post1
- argon2-cffi==23.1.0
- argon2-cffi-bindings==21.2.0
- arrow==1.3.0
- asttokens==2.4.1
- async-lru==2.0.4
- attrs==24.2.0
- autopep8==2.3.1
- babel==2.16.0
- beautifulsoup4==4.12.3
- black==24.10.0
- bleach==6.1.0
- certifi==2024.8.30
- cffi==1.17.1
- charset-normalizer==3.4.0
- click==8.1.7
- comm==0.2.2
- contourpy==1.3.0
- coverage==7.6.3
- cycler==0.12.1
- debugpy==1.8.7
- decorator==5.1.1
- defusedxml==0.7.1
- docutils==0.18.1
- execnet==2.1.1
- executing==2.1.0
- fastjsonschema==2.20.0
- filelock==3.16.1
- flake8==7.1.1
- fonttools==4.54.1
- fqdn==1.5.1
- frozenlist==1.4.1
- fsspec==2024.9.0
- grpcio==1.67.0
- h11==0.14.0
- httpcore==1.0.6
- httpx==0.27.2
- idna==3.10
- imageio==2.36.0
- imagesize==1.4.1
- iniconfig==2.0.0
- ipykernel==6.29.5
- ipython==8.28.0
- ipywidgets==8.1.5
- isoduration==20.11.0
- isort==5.13.2
- jedi==0.19.1
- jinja2==3.1.4
- json5==0.9.25
- jsonpointer==3.0.0
- jsonschema==4.23.0
- jsonschema-specifications==2024.10.1
- jupyter==1.1.1
- jupyter-client==8.6.3
- jupyter-console==6.6.3
- jupyter-core==5.7.2
- jupyter-events==0.10.0
- jupyter-lsp==2.2.5
- jupyter-server==2.14.2
- jupyter-server-terminals==0.5.3
- jupyterlab==4.2.5
- jupyterlab-pygments==0.3.0
- jupyterlab-server==2.27.3
- jupyterlab-widgets==3.0.13
- kiwisolver==1.4.7
- latexcodec==3.0.0
- lazy-loader==0.4
- lightning-utilities==0.11.8
- markdown==3.7
- markdown-it-py==3.0.0
- markupsafe==3.0.2
- matplotlib==3.9.2
- matplotlib-inline==0.1.7
- mccabe==0.7.0
- mdit-py-plugins==0.4.2
- mdurl==0.1.2
- mistune==3.0.2
- mpmath==1.3.0
- multidict==6.1.0
- mypy==1.10.0
- mypy-extensions==1.0.0
- myst-parser==3.0.1
- nbclient==0.10.0
- nbconvert==7.16.4
- nbformat==5.10.4
- nbqa==1.9.0
- nbsphinx==0.9.5
- nbval==0.11.0
- nest-asyncio==1.6.0
- networkx==3.4.1
- notebook==7.2.2
- notebook-shim==0.2.4
- numpy==1.26.4
- nvidia-cublas-cu12==12.4.5.8
- nvidia-cuda-cupti-cu12==12.4.127
- nvidia-cuda-nvrtc-cu12==12.4.127
- nvidia-cuda-runtime-cu12==12.4.127
- nvidia-cudnn-cu12==9.1.0.70
- nvidia-cufft-cu12==11.2.1.3
- nvidia-curand-cu12==10.3.5.147
- nvidia-cusolver-cu12==11.6.1.9
- nvidia-cusparse-cu12==12.3.1.170
- nvidia-nccl-cu12==2.21.5
- nvidia-nvjitlink-cu12==12.4.127
- nvidia-nvtx-cu12==12.4.127
- opt-einsum==3.4.0
- overrides==7.7.0
- packaging==24.1
- pandas==2.2.3
- pandocfilters==1.5.1
- parso==0.8.4
- pathspec==0.12.1
- pexpect==4.9.0
- pillow==11.0.0
- platformdirs==4.3.6
- pluggy==1.5.0
- prometheus-client==0.21.0
- prompt-toolkit==3.0.48
- propcache==0.2.0
- protobuf==5.28.2
- psutil==6.1.0
- ptyprocess==0.7.0
- pure-eval==0.2.3
- pybtex==0.24.0
- pybtex-docutils==1.0.3
- pycodestyle==2.12.1
- pycparser==2.22
- pyflakes==3.2.0
- pygments==2.18.0
- pyparsing==3.2.0
- pyro-api==0.1.2
- pyro-ppl==1.8.6
- pytest==8.3.3
- pytest-cov==5.0.0
- pytest-xdist==3.6.1
- python-dateutil==2.9.0.post0
- python-graphviz==0.20.3
- python-json-logger==2.0.7
- pytorch-lightning==2.4.0
- pytz==2024.2
- pyyaml==6.0.2
- pyzmq==26.2.0
- referencing==0.35.1
- requests==2.32.3
- rfc3339-validator==0.1.4
- rfc3986-validator==0.1.1
- rpds-py==0.20.0
- scikit-image==0.24.0
- scipy==1.14.1
- seaborn==0.13.2
- send2trash==1.8.3
- six==1.16.0
- sniffio==1.3.1
- snowballstemmer==2.2.0
- soupsieve==2.6
- sphinx==7.1.2
- sphinx-rtd-theme==1.3.0
- sphinxcontrib-applehelp==2.0.0
- sphinxcontrib-bibtex==2.5.0
- sphinxcontrib-devhelp==2.0.0
- sphinxcontrib-htmlhelp==2.1.0
- sphinxcontrib-jquery==4.1
- sphinxcontrib-jsmath==1.0.1
- sphinxcontrib-qthelp==2.0.0
- sphinxcontrib-serializinghtml==2.0.0
- stack-data==0.6.3
- sympy==1.13.1
- tensorboard==2.18.0
- tensorboard-data-server==0.7.2
- terminado==0.18.1
- tifffile==2024.9.20
- tinycss2==1.3.0
- tokenize-rt==6.0.0
- tomli==2.0.2
- torch==2.5.0
- torchdiffeq==0.2.4
- torchmetrics==1.5.0
- tornado==6.4.1
- tqdm==4.66.5
- traitlets==5.14.3
- triton==3.1.0
- types-python-dateutil==2.9.0.20241003
- typing-extensions==4.12.2
- tzdata==2024.2
- uri-template==1.3.0
- urllib3==2.2.3
- wcwidth==0.2.13
- webcolors==24.8.0
- webencodings==0.5.1
- websocket-client==1.8.0
- werkzeug==3.0.4
- widgetsnbextension==4.0.13
- yarl==1.15.5
prefix: /opt/conda/envs/chirho2
For the mac machine:
name: /Users/dima/git/chirho/.conda
channels:
- defaults
dependencies:
- bzip2=1.0.8=h80987f9_6
- ca-certificates=2024.7.2=hca03da5_0
- libffi=3.4.4=hca03da5_1
- ncurses=6.4=h313beb8_0
- openssl=3.0.14=h80987f9_0
- pip=24.0=py311hca03da5_0
- python=3.11.9=hb885b13_0
- readline=8.2=h1a28f6b_0
- setuptools=69.5.1=py311hca03da5_0
- sqlite=3.45.3=h80987f9_0
- tk=8.6.14=h6ba3021_0
- wheel=0.43.0=py311hca03da5_0
- xz=5.4.6=h80987f9_1
- zlib=1.2.13=h18a0788_1
- pip:
- absl-py==2.1.0
- aiohttp==3.9.5
- aiosignal==1.3.1
- alabaster==0.7.16
- anyio==4.4.0
- appnope==0.1.4
- argon2-cffi==23.1.0
- argon2-cffi-bindings==21.2.0
- arrow==1.3.0
- asttokens==2.4.1
- async-lru==2.0.4
- attrs==23.2.0
- autopep8==2.3.1
- babel==2.15.0
- beautifulsoup4==4.12.3
- black==24.4.2
- bleach==6.1.0
- cattrs==23.2.3
- certifi==2024.7.4
- cffi==1.16.0
- charset-normalizer==3.3.2
- click==8.1.7
- comm==0.2.2
- contourpy==1.2.1
- coverage==7.6.0
- cycler==0.12.1
- debugpy==1.8.2
- decorator==5.1.1
- defusedxml==0.7.1
- docutils==0.18.1
- esbonio==0.16.4
- execnet==2.1.1
- executing==2.0.1
- fastjsonschema==2.20.0
- filelock==3.15.4
- flake8==7.1.0
- fonttools==4.53.1
- fqdn==1.5.1
- frozenlist==1.4.1
- fsspec==2024.6.1
- grpcio==1.65.0
- h11==0.14.0
- httpcore==1.0.5
- httpx==0.27.0
- idna==3.7
- imageio==2.34.2
- imagesize==1.4.1
- iniconfig==2.0.0
- ipykernel==6.29.5
- ipython==8.26.0
- ipywidgets==8.1.3
- isoduration==20.11.0
- isort==5.13.2
- jedi==0.19.1
- jinja2==3.1.4
- json5==0.9.25
- jsonpointer==3.0.0
- jsonschema==4.23.0
- jsonschema-specifications==2023.12.1
- jupyter==1.0.0
- jupyter-client==8.6.2
- jupyter-console==6.6.3
- jupyter-core==5.7.2
- jupyter-events==0.10.0
- jupyter-lsp==2.2.5
- jupyter-server==2.14.1
- jupyter-server-terminals==0.5.3
- jupyterlab==4.2.3
- jupyterlab-pygments==0.3.0
- jupyterlab-server==2.27.2
- jupyterlab-widgets==3.0.11
- kiwisolver==1.4.5
- latexcodec==3.0.0
- lazy-loader==0.4
- lightning-utilities==0.11.3.post0
- lsprotocol==2023.0.1
- markdown==3.6
- markdown-it-py==3.0.0
- markupsafe==2.1.5
- matplotlib==3.9.1
- matplotlib-inline==0.1.7
- mccabe==0.7.0
- mdit-py-plugins==0.4.1
- mdurl==0.1.2
- mistune==3.0.2
- mpmath==1.3.0
- multidict==6.0.5
- mypy==1.10.1
- mypy-extensions==1.0.0
- myst-parser==3.0.1
- nbclient==0.10.0
- nbconvert==7.16.4
- nbformat==5.10.4
- nbqa==1.8.5
- nbsphinx==0.9.4
- nbval==0.11.0
- nest-asyncio==1.6.0
- networkx==3.3
- notebook==7.2.1
- notebook-shim==0.2.4
- numpy==2.0.0
- opt-einsum==3.3.0
- optree==0.12.1
- overrides==7.7.0
- packaging==24.1
- pandas==2.2.2
- pandocfilters==1.5.1
- parso==0.8.4
- pathspec==0.12.1
- pexpect==4.9.0
- pillow==10.4.0
- platformdirs==4.2.2
- pluggy==1.5.0
- prometheus-client==0.20.0
- prompt-toolkit==3.0.47
- protobuf==4.25.3
- psutil==6.0.0
- ptyprocess==0.7.0
- pure-eval==0.2.2
- pybtex==0.24.0
- pybtex-docutils==1.0.3
- pycodestyle==2.12.0
- pycparser==2.22
- pyflakes==3.2.0
- pygls==1.3.1
- pygments==2.18.0
- pyparsing==3.1.2
- pyro-api==0.1.2
- pyro-ppl==1.8.6
- pyspellchecker==0.8.1
- pytest==8.2.2
- pytest-cov==5.0.0
- pytest-xdist==3.6.1
- python-dateutil==2.9.0.post0
- python-graphviz==0.20.3
- python-json-logger==2.0.7
- pytorch-lightning==2.3.3
- pytz==2024.1
- pyyaml==6.0.1
- pyzmq==26.0.3
- qtconsole==5.5.2
- qtpy==2.4.1
- referencing==0.35.1
- requests==2.32.3
- rfc3339-validator==0.1.4
- rfc3986-validator==0.1.1
- rpds-py==0.19.0
- scikit-image==0.24.0
- scipy==1.14.0
- seaborn==0.13.2
- send2trash==1.8.3
- six==1.16.0
- sniffio==1.3.1
- snowballstemmer==2.2.0
- soupsieve==2.5
- sphinx==7.1.2
- sphinx-rtd-theme==1.3.0
- sphinxcontrib-applehelp==1.0.8
- sphinxcontrib-bibtex==2.5.0
- sphinxcontrib-devhelp==1.0.6
- sphinxcontrib-htmlhelp==2.0.5
- sphinxcontrib-jquery==4.1
- sphinxcontrib-jsmath==1.0.1
- sphinxcontrib-qthelp==1.0.7
- sphinxcontrib-serializinghtml==1.1.10
- stack-data==0.6.3
- sympy==1.13.0
- tb-nightly==2.18.0a20240724
- tensorboard-data-server==0.7.2
- terminado==0.18.1
- tifffile==2024.7.2
- tinycss2==1.3.0
- tokenize-rt==5.2.0
- tomli==2.0.1
- torch==2.3.1
- torchdiffeq==0.2.4
- torchmetrics==1.4.0.post0
- torchopt==0.7.3
- torchvision==0.18.1
- tornado==6.4.1
- tqdm==4.66.4
- traitlets==5.14.3
- types-python-dateutil==2.9.0.20240316
- typing-extensions==4.12.2
- tzdata==2024.1
- uri-template==1.3.0
- urllib3==2.2.2
- wcwidth==0.2.13
- webcolors==24.6.0
- webencodings==0.5.1
- websocket-client==1.8.0
- werkzeug==3.0.3
- widgetsnbextension==4.0.11
- yarl==1.9.4
prefix: /Users/dima/git/chirho/.conda
I'd be surprised if this was the issue, but can you try installing the latest version of Pyro (pyro-ppl==1.9.1
) and running it again from scratch? Pyro is pinned to pyro-ppl<1.9
in the ChiRho dependencies but that's mainly for type-checking reasons - I believe it should work fine with pyro-ppl>=1.9.1
at runtime.
And can you also try with PyTorch pinned to torch==2.4.1
? chirho.robust
makes use of PyTorch features that (shouldn't in principle, but do in reality) change and often break in undocumented and unpredictable ways from release to release.
Setting both pyro-ppl==1.9.1
and torch==2.4.1
did it!
I could test this as well.
It seems the library with pyro-ppl==1.9.1 and python==3.9 cannot run the notebook.
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[1], line 14
11 import pyro
12 import pyro.distributions as dist
---> 14 from chirho.counterfactual.handlers import MultiWorldCounterfactual
15 from chirho.indexed.ops import IndexSet, gather
16 from chirho.interventional.handlers import do
File /opt/homebrew/Caskroom/miniconda/base/envs/chirho/lib/python3.9/site-packages/chirho/counterfactual/handlers/__init__.py:1
----> 1 from .counterfactual import ( # noqa: F401
2 MultiWorldCounterfactual,
3 SingleWorldCounterfactual,
4 SingleWorldFactual,
5 TwinWorldCounterfactual,
6 )
File /opt/homebrew/Caskroom/miniconda/base/envs/chirho/lib/python3.9/site-packages/chirho/counterfactual/handlers/counterfactual.py:9
6 import torch
8 from chirho.counterfactual.handlers.ambiguity import FactualConditioningMessenger
----> 9 from chirho.counterfactual.ops import preempt, split
10 from chirho.indexed.handlers import IndexPlatesMessenger
11 from chirho.indexed.ops import get_index_plates
File /opt/homebrew/Caskroom/miniconda/base/envs/chirho/lib/python3.9/site-packages/chirho/counterfactual/ops.py:9
6 import pyro
8 from chirho.indexed.ops import IndexSet, cond_n, scatter_n
----> 9 from chirho.interventional.ops import Intervention, intervene
11 S = TypeVar("S")
12 T = TypeVar("T")
File /opt/homebrew/Caskroom/miniconda/base/envs/chirho/lib/python3.9/site-packages/chirho/interventional/__init__.py:1
----> 1 from . import handlers # noqa: F401
File /opt/homebrew/Caskroom/miniconda/base/envs/chirho/lib/python3.9/site-packages/chirho/interventional/handlers.py:121
111 return
113 msg["value"] = intervene(
114 msg["value"],
115 self.actions[msg["name"]],
116 event_dim=len(msg["fn"].event_shape),
117 name=msg["name"],
118 )
--> 121 do = pyro.poutine.handlers._make_handler(Interventions)[1]
TypeError: 'function' object is not subscriptable
@qinqian that error is in the latest release of ChiRho (chirho==0.2.0
), which is significantly behind the master
branch and is not compatible with the notebook in question.
Thanks @eb8680 ! I reinstall with pip install .
using the master
branch, now it can be run
Setting both
pyro-ppl==1.9.1
andtorch==2.4.1
did it!
@dimkab I see, good to know. We should probably cut a new ChiRho release at some point that drops backward compatibility with pyro-ppl<=1.9.0
and torch<=2.4.0
.
I would guess master
still works with torch==2.5.0
, which I believe was released quite recently, but maybe we should add CI build stages for each version of PyTorch we support.
I could reproduce the figures from @dimkab with pyro-ppl==1.9.1
and torch==2.4.1
@qinqian can you please provide more detail? Do you mean the correct figures in the notebook now on master
, or the incorrect figures in the first post of this issue? Are you sure you're running the unmodified notebook in a fresh kernel/environment with the correct versions of ChiRho (the current master
branch, unmodified) and its dependencies (particularly torch==2.4.1
and pyro-ppl==1.9.1
) installed? What OS are you using, and what packages are installed in your Conda/pip environment?
@eb8680 I mean the incorrect figures in the first post of this issue as in (https://github.com/BasisResearch/chirho/issues/571#issue-2600688567). I am running the unmodified notebook in a fresh environment (the current master
branch).
I am running on macOS Sonoma with PyTorch 2.4.1.post2 and Pyro-ppl 1.8.6, pip install .
actually downgrade my pyro-ppl==1.9.1 to pyro-ppl 1.8.6.
Here are the packages I installed in a condo environment:
# Name Version Build Channel
absl-py 2.1.0 pypi_0 pypi
aiohappyeyeballs 2.4.3 pypi_0 pypi
aiohttp 3.10.10 pypi_0 pypi
aiosignal 1.3.1 pypi_0 pypi
anyio 4.6.2.post1 pypi_0 pypi
appnope 0.1.4 pypi_0 pypi
argon2-cffi 23.1.0 pypi_0 pypi
argon2-cffi-bindings 21.2.0 pypi_0 pypi
arrow 1.3.0 pypi_0 pypi
asttokens 2.4.1 pypi_0 pypi
async-lru 2.0.4 pypi_0 pypi
async-timeout 4.0.3 pypi_0 pypi
attrs 24.2.0 pypi_0 pypi
babel 2.16.0 pypi_0 pypi
beautifulsoup4 4.12.3 pypi_0 pypi
bleach 6.1.0 pypi_0 pypi
bzip2 1.0.8 h99b78c6_7 conda-forge
ca-certificates 2024.8.30 hf0a4a13_0 conda-forge
certifi 2024.8.30 pypi_0 pypi
cffi 1.17.1 pypi_0 pypi
charset-normalizer 3.4.0 pypi_0 pypi
chirho 0.2.0 pypi_0 pypi
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
comm 0.2.2 pypi_0 pypi
contourpy 1.3.0 pypi_0 pypi
cycler 0.12.1 pypi_0 pypi
debugpy 1.8.7 pypi_0 pypi
decorator 5.1.1 pypi_0 pypi
defusedxml 0.7.1 pypi_0 pypi
exceptiongroup 1.2.2 pypi_0 pypi
executing 2.1.0 pypi_0 pypi
fastjsonschema 2.20.0 pypi_0 pypi
filelock 3.16.1 pyhd8ed1ab_0 conda-forge
fonttools 4.54.1 pypi_0 pypi
fqdn 1.5.1 pypi_0 pypi
frozenlist 1.4.1 pypi_0 pypi
fsspec 2024.9.0 pyhff2d567_0 conda-forge
gmp 6.3.0 h7bae524_2 conda-forge
gmpy2 2.1.5 py310heb17c8b_2 conda-forge
grpcio 1.67.0 pypi_0 pypi
h11 0.14.0 pypi_0 pypi
httpcore 1.0.6 pypi_0 pypi
httpx 0.27.2 pypi_0 pypi
idna 3.10 pypi_0 pypi
imageio 2.36.0 pypi_0 pypi
ipykernel 6.29.5 pypi_0 pypi
ipython 8.28.0 pypi_0 pypi
ipywidgets 8.1.5 pypi_0 pypi
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@qinqian can you try installing pyro-ppl==1.9.1
after you install ChiRho but before you run the notebook?
Yes, @eb8680 I tried this version and it fixed the issue above. Below are the figures I reproduced as the original notebook:
What's the key difference between two versions?
Running automated_dr_learner.ipynb notebook from the main branch produces the following figures, which are different from what's saved in the notebook itself.