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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18040 Add flag to fails if float point exceptions is detected in operator runs Sample exception Exception [enforce fail at operator.h:837] !std::fetestexcept(FE_DIVBYZERO). Division by zero floating point exception (FE_DIVBYZERO) reported. Error from operator: input: "1" input: "0" output: "out" name: "" type: "Div" Reviewed By: jspark1105 Differential Revision: D14467731 fbshipit-source-id: fad030b1d619a5a661ff2114edb947e4562cecdd
42 lines
1.4 KiB
Python
42 lines
1.4 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 caffe2.python import core, workspace
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from caffe2.proto import caffe2_pb2
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from caffe2.python.test_util import TestCase
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import numpy as np
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import unittest
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def setThrowIfFpExceptions(enabled):
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core.GlobalInit(["caffe2", "--caffe2_operator_throw_if_fp_exceptions=%d" % (1 if enabled else 0)])
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class OperatorFPExceptionsTest(TestCase):
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def test_fp_exception_divbyzero(self):
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# This test asserts the followings
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# - If flag caffe2_operator_throw_if_fp_exceptions is set,
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# floating point exceptions will be thrown
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# - If flag caffe2_operator_throw_if_fp_exceptions is not set,
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# floating point exceptions will not be thrown
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workspace.blobs["0"] = np.array([0.0], dtype=np.float32)
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workspace.blobs["1"] = np.array([1.0], dtype=np.float32)
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net = core.Net("test_fp")
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net.Div(["1", "0"], "out")
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for throw_if_fp_exceptions in (True, False):
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setThrowIfFpExceptions(throw_if_fp_exceptions)
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exception_raised = False
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try:
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workspace.RunNetOnce(net)
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except Exception as e:
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exception_raised = True
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self.assertEquals(exception_raised, throw_if_fp_exceptions)
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if __name__ == '__main__':
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unittest.main()
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