88 lines
2.4 KiB
Python
88 lines
2.4 KiB
Python
import logging
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import os
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from unittest import mock
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import pytest
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from pytorch_lightning.plugins.environments import KubeflowEnvironment
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@mock.patch.dict(os.environ, {})
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def test_default_attributes():
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""" Test the default attributes when no environment variables are set. """
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env = KubeflowEnvironment()
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assert env.creates_children()
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with pytest.raises(KeyError):
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# MASTER_ADDR is required
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env.master_address()
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with pytest.raises(KeyError):
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# MASTER_PORT is required
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env.master_port()
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with pytest.raises(KeyError):
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# WORLD_SIZE is required
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env.world_size()
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with pytest.raises(KeyError):
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# RANK is required
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env.global_rank()
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assert env.local_rank() == 0
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@mock.patch.dict(
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os.environ, {
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"KUBERNETES_PORT": "tcp://127.0.0.1:443",
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"MASTER_ADDR": "1.2.3.4",
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"MASTER_PORT": "500",
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"WORLD_SIZE": "20",
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"RANK": "1",
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}
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)
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def test_attributes_from_environment_variables(caplog):
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""" Test that the torchelastic cluster environment takes the attributes from the environment variables. """
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env = KubeflowEnvironment()
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assert env.master_address() == "1.2.3.4"
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assert env.master_port() == 500
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assert env.world_size() == 20
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assert env.global_rank() == 1
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assert env.local_rank() == 0
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assert env.node_rank() == 1
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# setter should be no-op
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with caplog.at_level(logging.DEBUG, logger="pytorch_lightning.plugins.environments"):
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env.set_global_rank(100)
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assert env.global_rank() == 1
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assert "setting global rank is not allowed" in caplog.text
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caplog.clear()
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with caplog.at_level(logging.DEBUG, logger="pytorch_lightning.plugins.environments"):
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env.set_world_size(100)
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assert env.world_size() == 20
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assert "setting world size is not allowed" in caplog.text
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@mock.patch.dict(
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os.environ, {
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"KUBERNETES_PORT": "tcp://127.0.0.1:443",
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"MASTER_ADDR": "1.2.3.4",
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"MASTER_PORT": "500",
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"WORLD_SIZE": "20",
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"RANK": "1",
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}
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)
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def test_is_using_kubeflow():
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assert KubeflowEnvironment.is_using_kubeflow()
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@mock.patch.dict(
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os.environ, {
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"KUBERNETES_PORT": "tcp://127.0.0.1:443",
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"MASTER_ADDR": "1.2.3.4",
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"MASTER_PORT": "500",
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"WORLD_SIZE": "20",
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"RANK": "1",
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"GROUP_RANK": "1",
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}
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)
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def test_is_using_kubeflow_torchelastic():
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assert not KubeflowEnvironment.is_using_kubeflow()
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