mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
64 lines
2 KiB
Python
64 lines
2 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
##############################################################################
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
from caffe2.python import core
|
|
from hypothesis import given
|
|
from hypothesis import strategies as st
|
|
import caffe2.python.hypothesis_test_util as hu
|
|
|
|
import numpy as np
|
|
import unittest
|
|
|
|
|
|
class TestMathOps(hu.HypothesisTestCase):
|
|
|
|
@given(X=hu.tensor(),
|
|
exponent=st.floats(min_value=2.0, max_value=3.0),
|
|
**hu.gcs)
|
|
def test_elementwise_power(self, X, exponent, gc, dc):
|
|
def powf(X):
|
|
return (X ** exponent,)
|
|
|
|
def powf_grad(g_out, outputs, fwd_inputs):
|
|
return (exponent * (fwd_inputs[0] ** (exponent - 1)) * g_out,)
|
|
|
|
op = core.CreateOperator(
|
|
"Pow", ["X"], ["Y"], exponent=exponent)
|
|
|
|
self.assertReferenceChecks(gc, op, [X], powf,
|
|
output_to_grad="Y",
|
|
grad_reference=powf_grad),
|
|
|
|
@given(X=hu.tensor(),
|
|
exponent=st.floats(min_value=-3.0, max_value=3.0),
|
|
**hu.gcs)
|
|
def test_sign(self, X, exponent, gc, dc):
|
|
def signf(X):
|
|
return [np.sign(X)]
|
|
|
|
op = core.CreateOperator(
|
|
"Sign", ["X"], ["Y"])
|
|
|
|
self.assertReferenceChecks(gc, op, [X], signf),
|
|
self.assertDeviceChecks(dc, op, [X], [0])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|