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from caffe2.python import core
from hypothesis import given, settings
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import numpy as np
import unittest
class TestTrigonometricOp(serial.SerializedTestCase):
@given(
X=hu.tensor(elements=hu.floats(min_value=-0.7, max_value=0.7)),
**hu.gcs)
@settings(deadline=None, max_examples=50)
def test_acos(self, X, gc, dc):
self.assertTrigonometricChecks("Acos", X, lambda x: (np.arccos(X),), gc, dc)
@given(
X=hu.tensor(elements=hu.floats(min_value=-0.7, max_value=0.7)),
**hu.gcs)
@settings(deadline=None, max_examples=50)
def test_asin(self, X, gc, dc):
self.assertTrigonometricChecks("Asin", X, lambda x: (np.arcsin(X),), gc, dc)
@given(
X=hu.tensor(elements=hu.floats(min_value=-100, max_value=100)),
**hu.gcs)
@settings(deadline=None, max_examples=50)
def test_atan(self, X, gc, dc):
self.assertTrigonometricChecks("Atan", X, lambda x: (np.arctan(X),), gc, dc)
@given(
X=hu.tensor(elements=hu.floats(min_value=-0.5, max_value=0.5)),
**hu.gcs)
@settings(deadline=None, max_examples=50)
def test_tan(self, X, gc, dc):
self.assertTrigonometricChecks("Tan", X, lambda x: (np.tan(X),), gc, dc)
def assertTrigonometricChecks(self, op_name, input, reference, gc, dc):
op = core.CreateOperator(op_name, ["X"], ["Y"])
self.assertReferenceChecks(gc, op, [input], reference)
self.assertDeviceChecks(dc, op, [input], [0])
self.assertGradientChecks(gc, op, [input], 0, [0])
if __name__ == "__main__":
unittest.main()
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