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from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
import numpy as np
class TestHyperbolicOps(serial.SerializedTestCase):
def _test_hyperbolic_op(self, op_name, np_ref, X, in_place, engine, gc, dc):
op = core.CreateOperator(
op_name,
["X"],
["X"] if in_place else ["Y"],
engine=engine,)
def ref(X):
return [np_ref(X)]
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[X],
reference=ref,
ensure_outputs_are_inferred=True,
)
self.assertDeviceChecks(dc, op, [X], [0])
self.assertGradientChecks(gc, op, [X], 0, [0], ensure_outputs_are_inferred=True)
@serial.given(X=hu.tensor(dtype=np.float32), **hu.gcs)
def test_sinh(self, X, gc, dc):
self._test_hyperbolic_op("Sinh", np.sinh, X, False, "", gc, dc)
@serial.given(X=hu.tensor(dtype=np.float32), **hu.gcs)
def test_cosh(self, X, gc, dc):
self._test_hyperbolic_op("Cosh", np.cosh, X, False, "", gc, dc)
@serial.given(X=hu.tensor(dtype=np.float32), in_place=st.booleans(),
engine=st.sampled_from(["", "CUDNN"]), **hu.gcs)
def test_tanh(self, X, in_place, engine, gc, dc):
self._test_hyperbolic_op("Tanh", np.tanh, X, in_place, engine, gc, dc)
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