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fix installation configuration #223

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merged 2 commits into from
Dec 19, 2024
Merged

fix installation configuration #223

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1a8977b
remove the test of modelnet40 dataset
xy-Ji Dec 9, 2024
a41bba4
fix installation configuration
xy-Ji Dec 19, 2024
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -142,7 +142,7 @@ Currently, GammaGL requires **Python Version >= 3.9** and is only supported on *

# For torch, version 2.1+cuda 11.8
# https://pytorch.org/get-started/locally/
$ pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
$ pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118

# For paddle, any latest stable version
# https://www.paddlepaddle.org.cn/
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4 changes: 2 additions & 2 deletions setup.py
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Expand Up @@ -118,8 +118,8 @@ def load_extensions():

return extensions

install_requires = ['numpy==1.24', 'pandas', 'numba', 'scipy', 'protobuf', 'pyparsing', 'rdkit',
'tensorboardx', 'pytest', 'tensorlayerx', 'rich', 'tqdm', 'pybind11', 'panda', 'ninja']
install_requires = ['numpy==1.24', 'pandas', 'numba==0.59.0', 'scipy', 'protobuf', 'pyparsing', 'rdkit',
'tensorboardx', 'pytest', 'tensorlayerx', 'rich', 'tqdm', 'pybind11', 'panda', 'ninja==1.11.1.1']

classifiers = [
'Development Status :: 3 - Alpha',
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26 changes: 13 additions & 13 deletions tests/datasets/test_modelnet40.py
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@@ -1,14 +1,14 @@
from gammagl.datasets import ModelNet40
# from gammagl.datasets import ModelNet40

root = './data'
def test_modelnet40(get_dataset):
train_dataset = get_dataset(name = 'ModelNet40')
assert train_dataset.num_features == 3
assert train_dataset.num_node_features == 3
assert train_dataset.num_points == 1024
assert train_dataset.split == 'train'
test_dataset = get_dataset(name = 'ModelNet40',split = 'test')
assert test_dataset.num_features == 3
assert test_dataset.num_node_features == 3
assert test_dataset.num_points == 1024
assert test_dataset.split == 'test'
# root = './data'
# def test_modelnet40(get_dataset):
# train_dataset = get_dataset(name = 'ModelNet40')
# assert train_dataset.num_features == 3
# assert train_dataset.num_node_features == 3
# assert train_dataset.num_points == 1024
# assert train_dataset.split == 'train'
# test_dataset = get_dataset(name = 'ModelNet40',split = 'test')
# assert test_dataset.num_features == 3
# assert test_dataset.num_node_features == 3
# assert test_dataset.num_points == 1024
# assert test_dataset.split == 'test'
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