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[REVIEW] Unpin dask & distributed for development #10623

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merged 10 commits into from
Apr 11, 2022
Merged

[REVIEW] Unpin dask & distributed for development #10623

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05c6828
unpin dask for development
galipremsagar Apr 8, 2022
7d43c63
test
galipremsagar Apr 8, 2022
7ff2d14
Update build.sh
galipremsagar Apr 8, 2022
5934077
Update build.sh
galipremsagar Apr 8, 2022
c08481a
Update build.sh
galipremsagar Apr 8, 2022
a960653
Apply suggestions from code review
galipremsagar Apr 8, 2022
dbce891
Apply suggestions from code review
galipremsagar Apr 11, 2022
c644c10
Merge remote-tracking branch 'upstream/branch-22.06' into unpin_dask
galipremsagar Apr 11, 2022
f23d264
fix divisions assignment
galipremsagar Apr 11, 2022
0d716e1
fix category dtype metadata creation
galipremsagar Apr 11, 2022
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12 changes: 9 additions & 3 deletions ci/benchmark/build.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ export GBENCH_BENCHMARKS_DIR="$WORKSPACE/cpp/build/gbenchmarks/"
export LIBCUDF_KERNEL_CACHE_PATH="$HOME/.jitify-cache"

# Dask & Distributed option to install main(nightly) or `conda-forge` packages.
export INSTALL_DASK_MAIN=0
export INSTALL_DASK_MAIN=1

function remove_libcudf_kernel_cache_dir {
EXITCODE=$?
Expand Down Expand Up @@ -79,11 +79,17 @@ conda install "rmm=$MINOR_VERSION.*" "cudatoolkit=$CUDA_REL" \

# Install the conda-forge or nightly version of dask and distributed
if [[ "${INSTALL_DASK_MAIN}" == 1 ]]; then
conda list
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gpuci_logger "gpuci_mamba_retry update dask"
gpuci_mamba_retry update dask
conda list
gpuci_logger "gpuci_mamba_retry install dask>=2022.03.0 --force-reinstall"
gpuc_conda_retry config --remove channels dask/label/dev
gpuci_mamba_retry install dask>=2022.03.0 --force-reinstall
conda list
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else
gpuci_logger "gpuci_mamba_retry install conda-forge::dask==2022.03.0 conda-forge::distributed==2022.03.0 conda-forge::dask-core==2022.03.0 --force-reinstall"
gpuci_mamba_retry install conda-forge::dask==2022.03.0 conda-forge::distributed==2022.03.0 conda-forge::dask-core==2022.03.0 --force-reinstall
gpuci_logger "gpuci_mamba_retry install conda-forge::dask>=2022.03.0 conda-forge::distributed>=2022.03.0 conda-forge::dask-core>=2022.03.0 --force-reinstall"
gpuci_mamba_retry install conda-forge::dask>=2022.03.0 conda-forge::distributed>=2022.03.0 conda-forge::dask-core>=2022.03.0 --force-reinstall
Comment on lines +85 to +86
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I've been wondering if a less cumbersome way of achieving this would be to manually remove dask/label/dev from our list of channels here? Maybe something like

Suggested change
gpuci_logger "gpuci_mamba_retry install conda-forge::dask>=2022.03.0 conda-forge::distributed>=2022.03.0 conda-forge::dask-core>=2022.03.0 --force-reinstall"
gpuci_mamba_retry install conda-forge::dask>=2022.03.0 conda-forge::distributed>=2022.03.0 conda-forge::dask-core>=2022.03.0 --force-reinstall
gpuci_logger "gpuci_mamba_retry install dask>=2022.03.0 --force-reinstall"
gpuc_conda_retry config --remove channels dask/label/dev
gpuci_mamba_retry install dask>=2022.03.0 --force-reinstall

Not sure if removing the channel would persist in other runs though, cc @ajschmidt8 @jakirkham if this solution makes sense

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I remember trying something similar previously but didn't seem to work, testing it now again in CI

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Yeah agree. Recall Prem tried several things, but don't recall if this one (and if so whether we encountered any issues with that)

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If this doesn't work, happy to merge in as is since the current setup is working

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Will this actually install Dask main or just the latest release?

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We use nightlies from the Dask channel in some cases. Depends if the channel dask/label/dev is used

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And do nightlies really mean "once every night", or does it mean it's a new package after every merge?

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Every merge. They are equivalent to using main, but also include Dask's dependencies

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Sounds good, thanks for confirming.

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@charlesbluca It didn't work the way we would expect it to just like last time, log here: https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci-22-06/job/cudf/job/prb/job/cudf-gpu-test/CUDA=11.0,GPU_LABEL=driver-450,LINUX_VER=centos7,PYTHON=3.8/150/consoleText
hence reverting these temp changes.

fi

# Install the master version of streamz
Expand Down
10 changes: 7 additions & 3 deletions ci/gpu/build.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ export GIT_DESCRIBE_TAG=`git describe --tags`
export MINOR_VERSION=`echo $GIT_DESCRIBE_TAG | grep -o -E '([0-9]+\.[0-9]+)'`

# Dask & Distributed option to install main(nightly) or `conda-forge` packages.
export INSTALL_DASK_MAIN=0
export INSTALL_DASK_MAIN=1

# ucx-py version
export UCX_PY_VERSION='0.26.*'
Expand Down Expand Up @@ -111,9 +111,13 @@ function install_dask {
gpuci_logger "gpuci_mamba_retry update dask"
gpuci_mamba_retry update dask
conda list
gpuci_logger "gpuci_mamba_retry install dask>=2022.03.0 --force-reinstall"
gpuc_conda_retry config --remove channels dask/label/dev
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gpuci_mamba_retry install dask>=2022.03.0 --force-reinstall
conda list
else
gpuci_logger "gpuci_mamba_retry install conda-forge::dask==2022.03.0 conda-forge::distributed==2022.03.0 conda-forge::dask-core==2022.03.0 --force-reinstall"
gpuci_mamba_retry install conda-forge::dask==2022.03.0 conda-forge::distributed==2022.03.0 conda-forge::dask-core==2022.03.0 --force-reinstall
gpuci_logger "gpuci_mamba_retry install conda-forge::dask>=2022.03.0 conda-forge::distributed>=2022.03.0 conda-forge::dask-core>=2022.03.0 --force-reinstall"
gpuci_mamba_retry install conda-forge::dask>=2022.03.0 conda-forge::distributed>=2022.03.0 conda-forge::dask-core>=2022.03.0 --force-reinstall
fi
# Install the main version of streamz
gpuci_logger "Install the main version of streamz"
Expand Down
4 changes: 2 additions & 2 deletions conda/environments/cudf_dev_cuda11.5.yml
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Expand Up @@ -43,8 +43,8 @@ dependencies:
- pydocstyle=6.1.1
- typing_extensions
- pre-commit
- dask==2022.03.0
- distributed==2022.03.0
- dask>=2022.03.0
- distributed>=2022.03.0
- streamz
- arrow-cpp=7.0.0
- dlpack>=0.5,<0.6.0a0
Expand Down
4 changes: 2 additions & 2 deletions conda/recipes/custreamz/meta.yaml
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Expand Up @@ -32,8 +32,8 @@ requirements:
- python
- streamz
- cudf {{ version }}
- dask==2022.03.0
- distributed==2022.03.0
- dask>=2022.03.0
- distributed>=2022.03.0
- python-confluent-kafka >=1.7.0,<1.8.0a0
- cudf_kafka {{ version }}

Expand Down
8 changes: 4 additions & 4 deletions conda/recipes/dask-cudf/meta.yaml
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Expand Up @@ -27,14 +27,14 @@ requirements:
host:
- python
- cudf {{ version }}
- dask==2022.03.0
- distributed==2022.03.0
- dask>=2022.03.0
- distributed>=2022.03.0
- cudatoolkit {{ cuda_version }}
run:
- python
- cudf {{ version }}
- dask==2022.03.0
- distributed==2022.03.0
- dask>=2022.03.0
- distributed>=2022.03.0
- {{ pin_compatible('cudatoolkit', max_pin='x', min_pin='x') }}

test: # [linux64]
Expand Down
4 changes: 2 additions & 2 deletions python/dask_cudf/setup.py
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Expand Up @@ -10,8 +10,8 @@

install_requires = [
"cudf",
"dask==2022.03.0",
"distributed==2022.03.0",
"dask>=2022.03.0",
"distributed>=2022.03.0",
"fsspec>=0.6.0",
"numpy",
"pandas>=1.0,<1.4.0dev0",
Expand Down