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Use cloudpickle 0.2.2. (#189)

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This commit is contained in:
Robert Nishihara
2017-01-08 17:30:06 -08:00
committed by Philipp Moritz
parent 674ec3a3cb
commit 973716d310
8 changed files with 9 additions and 17 deletions
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.travis/install-dependencies.sh
+4 -8
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@@ -20,8 +20,7 @@ fi
if [[ "$PYTHON" == "2.7" ]] && [[ "$platform" == "linux" ]]; then
sudo apt-get update
sudo apt-get install -y cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
sudo pip install funcsigs colorama psutil redis tensorflow
sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4
sudo pip install cloudpickle funcsigs colorama psutil redis tensorflow
elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "linux" ]]; then
sudo apt-get update
sudo apt-get install -y cmake python-dev python-numpy build-essential autoconf curl libtool libboost-all-dev unzip
@@ -29,8 +28,7 @@ elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "linux" ]]; then
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
pip install numpy funcsigs colorama psutil redis tensorflow
pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4
pip install numpy cloudpickle funcsigs colorama psutil redis tensorflow
elif [[ "$PYTHON" == "2.7" ]] && [[ "$platform" == "macosx" ]]; then
# check that brew is installed
which -s brew
@@ -43,8 +41,7 @@ elif [[ "$PYTHON" == "2.7" ]] && [[ "$platform" == "macosx" ]]; then
fi
brew install cmake automake autoconf libtool boost
sudo easy_install pip
sudo pip install numpy funcsigs colorama psutil redis tensorflow --ignore-installed six
sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4
sudo pip install numpy cloudpickle funcsigs colorama psutil redis tensorflow --ignore-installed six
elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "macosx" ]]; then
# check that brew is installed
which -s brew
@@ -60,8 +57,7 @@ elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "macosx" ]]; then
wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O miniconda.sh
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
pip install numpy funcsigs colorama psutil redis tensorflow
pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4
pip install numpy cloudpickle funcsigs colorama psutil redis tensorflow
else
echo "Unrecognized environment."
exit 1
doc/install-on-macosx.md
+1 -2
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@@ -12,8 +12,7 @@ brew update
brew install cmake automake autoconf libtool boost wget
sudo easy_install pip # If you're using Anaconda, then this is unnecessary.
pip install numpy funcsigs colorama psutil redis --ignore-installed six
pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
pip install numpy cloudpickle funcsigs colorama psutil redis --ignore-installed six
pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=numbuf&subdirectory=numbuf"
```
doc/install-on-ubuntu.md
+1 -2
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@@ -12,8 +12,7 @@ To install Ray, first install the following dependencies. We recommend using
sudo apt-get update
sudo apt-get install -y cmake build-essential autoconf curl libtool python-dev python-pip libboost-all-dev unzip # If you're using Anaconda, then python-dev and python-pip are unnecessary.
pip install numpy funcsigs colorama psutil redis
pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
pip install numpy cloudpickle funcsigs colorama psutil redis
pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=numbuf&subdirectory=numbuf"
```
docker/base-deps/Dockerfile
-1
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@@ -14,5 +14,4 @@ RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh \
ENV PATH "/opt/conda/bin:$PATH"
RUN conda install libgcc
RUN pip install --upgrade pip
RUN pip install --upgrade "git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4"
RUN pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=numbuf&subdirectory=numbuf"
lib/python/MANIFEST.in
-1
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@@ -1 +0,0 @@
recursive-include webui *
lib/python/setup.py
+1 -1
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@@ -33,7 +33,7 @@ setup(name="ray",
"colorama",
"psutil",
"redis",
"cloudpickle"],
"cloudpickle >= 0.2.2"],
include_package_data=True,
zip_safe=False,
license="Apache 2.0")
src/common/lib/python/setup.py
+1 -1
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@@ -7,6 +7,6 @@ common_module = Extension("common",
extra_compile_args=["--std=c99", "-Werror"])
setup(name="Common",
version="0.01",
version="0.0.1",
description="Common library for Ray",
ext_modules=[common_module])
test/runtest.py
+1 -1
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@@ -123,7 +123,7 @@ try:
import cloudpickle
cloudpickle.dumps(Point)
except AttributeError:
cloudpickle_command = "sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4"
cloudpickle_command = "pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4"
raise Exception("You have an older version of cloudpickle that is not able to serialize namedtuples. Try running \n\n{}\n\n".format(cloudpickle_command))
class SerializationTest(unittest.TestCase):