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https://github.com/saymrwulf/pytorch.git
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5cd0f5e8ec
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/41645 Pull Request resolved: https://github.com/facebookresearch/pytext/pull/1405 Test Plan: buck test Reviewed By: thatch Differential Revision: D20323893 fbshipit-source-id: 54665d589568c4198e96a27f0ed8e5b41df7b86b
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from caffe2.python import core
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from hypothesis import given, settings
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from hypothesis import strategies as st
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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 numpy as np
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import unittest
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class TestMathOps(serial.SerializedTestCase):
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@given(X=hu.tensor(),
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exponent=st.floats(min_value=2.0, max_value=3.0),
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**hu.gcs)
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def test_elementwise_power(self, X, exponent, gc, dc):
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# negative integer raised with non-integer exponent is domain error
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X = np.abs(X)
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def powf(X):
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return (X ** exponent,)
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def powf_grad(g_out, outputs, fwd_inputs):
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return (exponent * (fwd_inputs[0] ** (exponent - 1)) * g_out,)
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op = core.CreateOperator(
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"Pow", ["X"], ["Y"], exponent=exponent)
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self.assertReferenceChecks(gc, op, [X], powf,
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output_to_grad="Y",
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grad_reference=powf_grad,
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ensure_outputs_are_inferred=True)
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@given(X=hu.tensor(),
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exponent=st.floats(min_value=-3.0, max_value=3.0),
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**hu.gcs)
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@settings(deadline=10000)
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def test_sign(self, X, exponent, gc, dc):
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def signf(X):
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return [np.sign(X)]
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op = core.CreateOperator(
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"Sign", ["X"], ["Y"])
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self.assertReferenceChecks(
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gc, op, [X], signf, ensure_outputs_are_inferred=True)
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self.assertDeviceChecks(dc, op, [X], [0])
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if __name__ == "__main__":
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unittest.main()
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