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conftest.py
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# ******************************************************************************
# Copyright 2017-2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ******************************************************************************
import pytest
import ngraph.transformers as ngt
import ngraph.op_graph.serde.serde as serde
def pytest_addoption(parser):
parser.addoption("--batch_size", type=int, default=8,
help="Batch size for tests using input_tensor fixture.")
parser.addoption("--transformer", default="cpu", choices=ngt.transformer_choices(),
help="Select from available transformers")
parser.addoption("--serialization_integration_test", action="store_true",
help="Force all unit tests to serialize and deserialize the graph before \
transformer compilation.")
parser.addoption('--hetr_device', action='append', default=[],
help='Set hetr device (cpu, gpu, etc.)')
def pytest_xdist_node_collection_finished(node, ids):
ids.sort()
def pytest_generate_tests(metafunc):
# define hetr_device parametrization and enable passing from command line
if 'hetr_device' in metafunc.fixturenames:
metafunc.parametrize("hetr_device",
metafunc.config.getoption('hetr_device'))
@pytest.fixture(scope="module", autouse=True)
def transformer_factory(request):
def set_and_get_factory(transformer_name):
factory = ngt.make_transformer_factory(transformer_name)
ngt.set_transformer_factory(factory)
return factory
name = request.config.getoption("--transformer")
yield set_and_get_factory(name)
# Reset transformer factory to default
ngt.set_transformer_factory(ngt.make_transformer_factory("cpu"))
@pytest.fixture(autouse=True)
def force_serialization_computations(monkeypatch):
"""
This integration test fixture breaks a few tests as false positives (whenever there are
interactions between multiple computations in a single transformer), so it is designed to be an
aid for widely testing serialization and not a true integration test that must pass on every
merge.
"""
if pytest.config.getoption("--serialization_integration_test"):
original_computation = ngt.Transformer.add_computation
def monkey_add_computation(self, comp):
if comp.name.startswith('init'):
return original_computation(self, comp)
ser_comp = serde.serialize_graph([comp], only_return_handle_ops=True)
deser_comp = serde.deserialize_graph(ser_comp)
assert len(deser_comp) == 1
return original_computation(self, deser_comp[0])
monkeypatch.setattr(ngt.Transformer, 'add_computation', monkey_add_computation)
def pass_method(*args, **kwargs):
pass
def pytest_configure(config):
# when marking argon_disabled for a whole test, but flex_disabled only on one
# parametrized version of that test, the argon marking disappeared
config.flex_and_argon_disabled = pytest.mark.xfail(config.getvalue("transformer") == "flexgpu" or
config.getvalue("transformer") == "argon",
reason="Not supported by argon or flex backend",
strict=True)
config.argon_disabled = pytest.mark.xfail(config.getvalue("transformer") == "argon",
reason="Not supported by argon backend",
strict=True)
config.flex_disabled = pytest.mark.xfail(config.getvalue("transformer") == "flexgpu",
reason="Failing test for Flex",
strict=True)
config.hetr_and_cpu_enabled_only = pytest.mark.xfail(config.getvalue("transformer") != "hetr" and
config.getvalue("transformer") != "cpu",
reason="Only Hetr/CPU and CPU transformers supported",
strict=True)
config.flex_skip = pytest.mark.skipif(config.getvalue("transformer") == "flexgpu",
reason="Randomly failing test for Flex")
config.argon_skip = pytest.mark.skipif(config.getvalue("transformer") == "argon")
config.flex_skip_now = pytest.skip if config.getvalue("transformer") == "flexgpu" \
else pass_method
config.argon_skip_now = pytest.skip if config.getvalue("transformer") == "argon" \
else pass_method