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9945fd7253
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/49980 From ``` ./python/libcst/libcst codemod remove_unused_imports.RemoveUnusedImportsWithGlean --no-format caffe2/ ``` Test Plan: Standard sandcastle tests Reviewed By: xush6528 Differential Revision: D25727359 fbshipit-source-id: c4f60005b10546423dc093d31d46deb418352286
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
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from caffe2.python import core
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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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from hypothesis import given, settings
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import hypothesis.strategies as st
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import numpy as np
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import unittest
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@st.composite
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def _glu_old_input(draw):
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dims = draw(st.lists(st.integers(min_value=1, max_value=5), min_size=1, max_size=3))
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axis = draw(st.integers(min_value=0, max_value=len(dims)))
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# The axis dimension must be divisible by two
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axis_dim = 2 * draw(st.integers(min_value=1, max_value=2))
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dims.insert(axis, axis_dim)
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X = draw(hu.arrays(dims, np.float32, None))
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return (X, axis)
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class TestGlu(serial.SerializedTestCase):
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@given(
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X_axis=_glu_old_input(),
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**hu.gcs
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)
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@settings(deadline=10000)
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def test_glu_old(self, X_axis, gc, dc):
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X, axis = X_axis
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def glu_ref(X):
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x1, x2 = np.split(X, [X.shape[axis] // 2], axis=axis)
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Y = x1 * (1. / (1. + np.exp(-x2)))
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return [Y]
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op = core.CreateOperator("Glu", ["X"], ["Y"], dim=axis)
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self.assertReferenceChecks(gc, op, [X], glu_ref)
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if __name__ == "__main__":
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unittest.main()
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