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https://github.com/zebrajr/pytorch.git
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27c7158166
Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
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import numpy as np
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import hypothesis.strategies as st
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import unittest
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import caffe2.python.hypothesis_test_util as hu
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from caffe2.python import core, workspace
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from hypothesis import given
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import caffe2.python.ideep_test_util as mu
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@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
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class TestMomentumSGDUpdateOps(hu.HypothesisTestCase):
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@given(n=st.integers(4, 8), nesterov=st.booleans(),
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**mu.gcs)
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def test_MomentumSGDUpdate(self, n, nesterov, gc, dc):
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param = np.random.rand(n).astype(np.float32)
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grad = np.random.rand(n).astype(np.float32)
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lr = np.random.rand(1).astype(np.float32)
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param_momentum = np.random.rand(n).astype(np.float32)
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momentum = 0.9
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op = core.CreateOperator(
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"MomentumSGDUpdate",
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["grad", "param_momentum", "lr", "param"],
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["grad", "param_momentum", "param"],
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momentum=momentum,
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nesterov=int(nesterov),
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)
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# Iter lives on the CPU
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input_device_options = {'lr': hu.cpu_do}
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self.assertDeviceChecks(
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dc,
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op,
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[grad, param_momentum, lr, param],
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[0],
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input_device_options=input_device_options,
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threshold=0.001)
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op_noparam = core.CreateOperator(
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"MomentumSGD",
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["grad", "param_momentum", "lr"],
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["grad", "param_momentum"],
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momentum=momentum,
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nesterov=int(nesterov),
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)
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self.assertDeviceChecks(
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dc,
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op_noparam,
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[grad, param_momentum, lr],
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[0],
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input_device_options=input_device_options,
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threshold=0.001)
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if __name__ == "__main__":
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unittest.main()
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