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* test(SignOp): add eager global test * test(SoftPlusOp): add eager global test * test(SliceOp): add eager global test and fix 0size backward bug * remove softplus test because repeated * refine test Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
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""" | ||
Copyright 2020 The OneFlow Authors. All rights reserved. | ||
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. | ||
""" | ||
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import unittest | ||
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import oneflow as flow | ||
from oneflow.test_utils.automated_test_util import * | ||
import oneflow.unittest | ||
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@autotest(n=1, check_graph=False) | ||
def _test_sign_impl(test_case, ndim, placement, sbp): | ||
dims = [random(1, 3) * 8 for i in range(ndim)] | ||
x = random_tensor(ndim, *dims).to_global(placement=placement, sbp=sbp) | ||
y = torch.sign(x) | ||
return y | ||
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class TestSign(flow.unittest.TestCase): | ||
@globaltest | ||
def test_sign(test_case): | ||
for placement in all_placement(): | ||
ndim = random(1, 4).to(int).value() | ||
for sbp in all_sbp(placement, max_dim=ndim): | ||
_test_sign_impl(test_case, ndim, placement, sbp) | ||
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if __name__ == "__main__": | ||
unittest.main() |
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