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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
42 lines
1 KiB
Python
42 lines
1 KiB
Python
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from caffe2.python import core
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from hypothesis import given
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.serialized_test.serialized_test_util as serial
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import hypothesis.strategies as st
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import numpy as np
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def entropy(p):
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q = 1. - p
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return -p * np.log(p) - q * np.log(q)
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def jsd(p, q):
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return [entropy(p / 2. + q / 2.) - entropy(p) / 2. - entropy(q) / 2.]
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def jsd_grad(go, o, pq_list):
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p, q = pq_list
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m = (p + q) / 2.
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return [np.log(p * (1 - m) / (1 - p) / m) / 2. * go, None]
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class TestJSDOps(serial.SerializedTestCase):
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@serial.given(n=st.integers(10, 100), **hu.gcs_cpu_only)
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def test_bernoulli_jsd(self, n, gc, dc):
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p = np.random.rand(n).astype(np.float32)
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q = np.random.rand(n).astype(np.float32)
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op = core.CreateOperator("BernoulliJSD", ["p", "q"], ["l"])
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self.assertReferenceChecks(
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device_option=gc,
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op=op,
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inputs=[p, q],
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reference=jsd,
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output_to_grad='l',
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grad_reference=jsd_grad,
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)
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