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fix arange and add global unittest #7576
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d7781cf
fix arange and add global unittest
hjchen2 f103dbe
Merge branch 'master' into dev_fix_arange_and_add_global_unittest
hjchen2 5b25fcc
Merge branch 'master' into dev_fix_arange_and_add_global_unittest
oneflow-ci-bot abb20b0
Merge branch 'master' into dev_fix_arange_and_add_global_unittest
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,71 @@ | ||
""" | ||
Copyright 2020 The OneFlow Authors. All rights reserved. | ||
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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 | ||
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http://www.apache.org/licenses/LICENSE-2.0 | ||
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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 numpy as np | ||
import unittest | ||
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import oneflow as flow | ||
import oneflow.unittest | ||
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from oneflow.test_utils.automated_test_util import * | ||
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@autotest(n=1, auto_backward=False, check_graph=False) | ||
def _test_arange_with_random_data(test_case, placement, sbp): | ||
start = random(0, 10).to(int).value() | ||
end = start + random(0, 10).to(int).value() | ||
step = random(1, max(2, end - start)).to(int).value() | ||
start = start * 8 | ||
end = end * 8 | ||
x = torch.arange(start=start, end=end, step=step) | ||
x.oneflow = flow.arange( | ||
start=start, end=end, step=step, placement=placement, sbp=sbp | ||
) | ||
return x | ||
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@autotest(n=1, auto_backward=True, check_graph=False) | ||
def _test_arange_with_float_delta(test_case, placement, sbp): | ||
start = random(0, 10).to(int).value() | ||
end = start + random(0, 10).to(int).value() | ||
step = random(1, max(2, end - start)).to(float).value() | ||
start = start * 8 | ||
end = end * 8 | ||
x = torch.arange(start=start, end=end, step=step, requires_grad=True) | ||
x.oneflow = flow.arange( | ||
start=start, | ||
end=end, | ||
step=step, | ||
placement=placement, | ||
sbp=sbp, | ||
requires_grad=True, | ||
) | ||
return x | ||
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class TestArange(flow.unittest.TestCase): | ||
@globaltest | ||
def test_arange(test_case): | ||
for placement in all_placement(): | ||
# arange does not support split and partial_sum currently. | ||
for sbp in all_sbp( | ||
placement, max_dim=1, except_split=True, except_partial_sum=True | ||
): | ||
_test_arange_with_random_data(test_case, placement, sbp) | ||
_test_arange_with_float_delta(test_case, placement, sbp) | ||
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if __name__ == "__main__": | ||
unittest.main() |
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NOTE:#7571 支持 S0 是这个 PR,后续要改一下这里的单测
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可以