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Minjie Wang f7dae4533a [CI] Reduce CI workload (#4196)
* try optimize CI

* fix go test; adjust timing report

* disable certain tests for mx/tf backends

* fix ut

* add pydantic
2022-06-30 20:01:16 +08:00

179 行
8.0 KiB
Python

import os
import pytest
@pytest.mark.parametrize('data', ['cora', 'citeseer', 'pubmed', 'csv', 'reddit',
'co-buy-computer', 'ogbn-arxiv', 'ogbn-products'])
def test_nodepred_data(data):
os.system(f'dgl configure nodepred --data {data} --model gcn')
assert os.path.exists(f'nodepred_{data}_gcn.yaml')
custom_cfg = f'custom_{data}_gcn.yaml'
os.system(f'dgl configure nodepred --data {data} --model gcn --cfg {custom_cfg}')
assert os.path.exists(custom_cfg)
custom_script = f'{data}_gcn.py'
os.system(f'dgl export --cfg {custom_cfg} --output {custom_script}')
assert os.path.exists(custom_script)
@pytest.mark.parametrize('model', ['gcn', 'gat', 'sage', 'sgc', 'gin'])
def test_nodepred_model(model):
os.system(f'dgl configure nodepred --data cora --model {model}')
assert os.path.exists(f'nodepred_cora_{model}.yaml')
custom_cfg = f'custom_cora_{model}.yaml'
os.system(f'dgl configure nodepred --data cora --model {model} --cfg {custom_cfg}')
assert os.path.exists(custom_cfg)
custom_script = f'cora_{model}.py'
os.system(f'dgl export --cfg {custom_cfg} --output {custom_script}')
assert os.path.exists(custom_script)
@pytest.mark.parametrize('data', ['cora', 'citeseer', 'pubmed', 'csv', 'reddit',
'co-buy-computer', 'ogbn-arxiv', 'ogbn-products'])
def test_nodepred_ns_data(data):
os.system(f'dgl configure nodepred-ns --data {data} --model gcn')
assert os.path.exists(f'nodepred-ns_{data}_gcn.yaml')
custom_cfg = f'ns-custom_{data}_gcn.yaml'
os.system(f'dgl configure nodepred-ns --data {data} --model gcn --cfg {custom_cfg}')
assert os.path.exists(custom_cfg)
custom_script = f'ns-{data}_gcn.py'
os.system(f'dgl export --cfg {custom_cfg} --output {custom_script}')
assert os.path.exists(custom_script)
@pytest.mark.parametrize('model', ['gcn', 'gat', 'sage'])
def test_nodepred_ns_model(model):
os.system(f'dgl configure nodepred-ns --data cora --model {model}')
assert os.path.exists(f'nodepred-ns_cora_{model}.yaml')
custom_cfg = f'ns-custom_cora_{model}.yaml'
os.system(f'dgl configure nodepred-ns --data cora --model {model} --cfg {custom_cfg}')
assert os.path.exists(custom_cfg)
custom_script = f'ns-cora_{model}.py'
os.system(f'dgl export --cfg {custom_cfg} --output {custom_script}')
assert os.path.exists(custom_script)
@pytest.mark.parametrize('data', ['cora', 'citeseer', 'pubmed', 'csv', 'reddit',
'co-buy-computer', 'ogbn-arxiv', 'ogbn-products', 'ogbl-collab',
'ogbl-citation2'])
def test_linkpred_data(data):
node_model = 'gcn'
edge_model = 'ele'
neg_sampler = 'global'
custom_cfg = '_'.join([data, node_model, edge_model, neg_sampler]) + '.yaml'
os.system('dgl configure linkpred --data {} --node-model {} --edge-model {} --neg-sampler {} --cfg {}'.format(
data, node_model, edge_model, neg_sampler, custom_cfg))
assert os.path.exists(custom_cfg)
custom_script = '_'.join([data, node_model, edge_model, neg_sampler]) + '.py'
os.system('dgl export --cfg {} --output {}'.format(custom_cfg, custom_script))
assert os.path.exists(custom_script)
@pytest.mark.parametrize('node_model', ['gcn' ,'gat', 'sage', 'sgc', 'gin'])
def test_linkpred_node_model(node_model):
data = 'cora'
edge_model = 'ele'
neg_sampler = 'global'
custom_cfg = '_'.join([data, node_model, edge_model, neg_sampler]) + '.yaml'
os.system('dgl configure linkpred --data {} --node-model {} --edge-model {} --neg-sampler {} --cfg {}'.format(
data, node_model, edge_model, neg_sampler, custom_cfg))
assert os.path.exists(custom_cfg)
custom_script = '_'.join([data, node_model, edge_model, neg_sampler]) + '.py'
os.system('dgl export --cfg {} --output {}'.format(custom_cfg, custom_script))
assert os.path.exists(custom_script)
@pytest.mark.parametrize('edge_model', ['ele', 'bilinear'])
def test_linkpred_edge_model(edge_model):
data = 'cora'
node_model = 'gcn'
neg_sampler = 'global'
custom_cfg = '_'.join([data, node_model, edge_model, neg_sampler]) + '.yaml'
os.system('dgl configure linkpred --data {} --node-model {} --edge-model {} --neg-sampler {} --cfg {}'.format(
data, node_model, edge_model, neg_sampler, custom_cfg))
assert os.path.exists(custom_cfg)
custom_script = '_'.join([data, node_model, edge_model, neg_sampler]) + '.py'
os.system('dgl export --cfg {} --output {}'.format(custom_cfg, custom_script))
assert os.path.exists(custom_script)
@pytest.mark.parametrize('neg_sampler', ['global', 'persource', ''])
def test_linkpred_neg_sampler(neg_sampler):
data = 'cora'
node_model = 'gcn'
edge_model = 'ele'
custom_cfg = f'{data}_{node_model}_{edge_model}_{neg_sampler}.yaml'
if neg_sampler == '':
os.system('dgl configure linkpred --data {} --node-model {} --edge-model {} --cfg {}'.format(
data, node_model, edge_model, custom_cfg))
else:
os.system('dgl configure linkpred --data {} --node-model {} --edge-model {} --neg-sampler {} --cfg {}'.format(
data, node_model, edge_model, neg_sampler, custom_cfg))
assert os.path.exists(custom_cfg)
custom_script = f'{data}_{node_model}_{edge_model}_{neg_sampler}.py'
os.system('dgl export --cfg {} --output {}'.format(custom_cfg, custom_script))
assert os.path.exists(custom_script)
@pytest.mark.parametrize('data', ['csv', 'ogbg-molhiv', 'ogbg-molpcba'])
@pytest.mark.parametrize('model', ['gin', 'pna'])
def test_graphpred(data, model):
os.system('dgl configure graphpred --data {} --model {}'.format(data, model))
assert os.path.exists('graphpred_{}_{}.yaml'.format(data, model))
custom_cfg = 'custom_{}_{}.yaml'.format(data, model)
os.system('dgl configure graphpred --data {} --model {} --cfg {}'.format(data, model,
custom_cfg))
assert os.path.exists(custom_cfg)
custom_script = '_'.join([data, model]) + '.py'
os.system('dgl export --cfg {} --output {}'.format(custom_cfg, custom_script))
assert os.path.exists(custom_script)
@pytest.mark.parametrize('recipe',
['graphpred_hiv_gin.yaml',
'graphpred_hiv_pna.yaml',
'graphpred_pcba_gin.yaml',
'linkpred_cora_sage.yaml',
'linkpred_citation2_sage.yaml',
'linkpred_collab_sage.yaml',
'nodepred_citeseer_gat.yaml',
'nodepred_citeseer_gcn.yaml',
'nodepred_citeseer_sage.yaml',
'nodepred_cora_gat.yaml',
'nodepred_cora_gcn.yaml',
'nodepred_cora_sage.yaml',
'nodepred_pubmed_gat.yaml',
'nodepred_pubmed_gcn.yaml',
'nodepred_pubmed_sage.yaml',
'nodepred-ns_arxiv_gcn.yaml',
'nodepred-ns_product_sage.yaml'])
def test_recipe(recipe):
# Remove all generated yaml files
current_dir = os.listdir("./")
for item in current_dir:
if item.endswith(".yaml"):
os.remove(item)
os.system('dgl recipe get {}'.format(recipe))
assert os.path.exists(recipe)
def test_node_cora():
os.system('dgl configure nodepred --data cora --model gcn')
os.system('dgl train --cfg nodepred_cora_gcn.yaml')
assert os.path.exists('results')
assert os.path.exists('results/run_0.pth')
os.system('dgl configure-apply nodepred --cpt results/run_0.pth')
assert os.path.exists('apply_nodepred_cora_gcn.yaml')
os.system('dgl configure-apply nodepred --data cora --cpt results/run_0.pth --cfg apply.yaml')
assert os.path.exists('apply.yaml')
os.system('dgl apply --cfg apply.yaml')
assert os.path.exists('apply_results/output.csv')
os.system('dgl export --cfg apply.yaml --output apply.py')
assert os.path.exists('apply.py')