mirror of
https://github.com/saymrwulf/pytorch.git
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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
66 lines
2 KiB
Python
66 lines
2 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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from __future__ import unicode_literals
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from caffe2.python import core
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import hypothesis.strategies as st
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from hypothesis import given
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import caffe2.python.hypothesis_test_util as hu
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import numpy as np
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class TestFindOperator(hu.HypothesisTestCase):
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@given(n=st.sampled_from([1, 4, 8, 31, 79, 150]),
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idxsize=st.sampled_from([2, 4, 8, 1000, 5000]),
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**hu.gcs)
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def test_find(self, n, idxsize, gc, dc):
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maxval = 10
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def findop(idx, X):
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res = []
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for j in list(X.flatten()):
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i = np.where(idx == j)[0]
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if len(i) == 0:
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res.append(-1)
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else:
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res.append(i[-1])
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print("Idx: {} X: {}".format(idx, X))
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print("Res: {}".format(res))
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return [np.array(res).astype(np.int32)]
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X = (np.random.rand(n) * maxval).astype(np.int32)
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idx = (np.random.rand(idxsize) * maxval).astype(np.int32)
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op = core.CreateOperator(
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"Find",
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["idx", "X"],
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["y"],
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)
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self.assertReferenceChecks(
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device_option=gc,
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op=op,
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inputs=[idx, X],
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reference=findop,
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)
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