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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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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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import numpy as np
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from hypothesis import given
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import hypothesis.strategies as st
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from caffe2.python import core
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import caffe2.python.hypothesis_test_util as hu
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class TestConditionalOp(hu.HypothesisTestCase):
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@given(rows_num=st.integers(1, 10000), **hu.gcs_cpu_only)
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def test_conditional(self, rows_num, gc, dc):
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op = core.CreateOperator(
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"Conditional", ["condition", "data_t", "data_f"], "output"
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)
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data_t = np.random.random((rows_num, 10, 20)).astype(np.float32)
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data_f = np.random.random((rows_num, 10, 20)).astype(np.float32)
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condition = np.random.choice(a=[True, False], size=rows_num)
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def ref(condition, data_t, data_f):
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output = [
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data_t[i] if condition[i] else data_f[i]
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for i in range(rows_num)
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]
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return (output,)
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self.assertReferenceChecks(gc, op, [condition, data_t, data_f], ref)
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