pytorch/caffe2/python/operator_test/assert_test.py
James Reed dc47319074 Implement AssertOp
Summary:
This can be used for testing and debugging. zdevito and I will primarily use this for our caffe2 script project
Closes https://github.com/caffe2/caffe2/pull/1585

Reviewed By: zdevito

Differential Revision: D6501209

Pulled By: jamesr66a

fbshipit-source-id: fdd65e422c44b74bb6926320af506dcae13327f3
2017-12-06 17:18:52 -08:00

44 lines
1.5 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
import numpy as np
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
class TestAssert(hu.HypothesisTestCase):
@given(
dtype=st.sampled_from(['bool_', 'int32', 'int64']),
shape=st.lists(elements=st.integers(1, 10), min_size=1, max_size=4),
**hu.gcs)
def test_assert(self, dtype, shape, gc, dc):
test_tensor = np.random.rand(*shape).astype(np.dtype(dtype))
op = core.CreateOperator('Assert', ['X'], [])
def assert_ref(X):
return []
try:
self.assertReferenceChecks(gc, op, [test_tensor], assert_ref)
except Exception:
assert(not np.all(test_tensor))