wehub-resource-sync
72 lines
2.3 KiB
Python
Executable File
72 lines
2.3 KiB
Python
Executable File
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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import unittest
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import numpy as np
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from get_test_cover_info import (
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XPUOpTestWrapper,
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create_test_class,
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get_xpu_op_support_types,
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)
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from op_test_xpu import XPUOpTest
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import paddle
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paddle.enable_static()
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class XPUTestAccuracyOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'accuracy'
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self.use_dynamic_create_class = False
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class TestXPUAccuracyOp(XPUOpTest):
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def setUp(self):
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self.op_type = "accuracy"
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self.init_dtype()
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n = 8192
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infer = np.random.random((n, 1)).astype(self.dtype)
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indices = np.random.randint(0, 2, (n, 1)).astype('int64')
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label = np.random.randint(0, 2, (n, 1)).astype('int64')
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self.inputs = {'Out': infer, 'Indices': indices, "Label": label}
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num_correct = 0
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for rowid in range(n):
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for ele in indices[rowid]:
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if ele == label[rowid]:
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num_correct += 1
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break
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self.outputs = {
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'Accuracy': np.array(num_correct / float(n)).astype(self.dtype),
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'Correct': np.array(num_correct).astype("int32"),
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'Total': np.array(n).astype("int32"),
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}
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self.attrs = {'use_xpu': True}
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def init_dtype(self):
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self.dtype = self.in_type
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def test_check_output(self):
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if paddle.is_compiled_with_xpu():
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place = paddle.XPUPlace(0)
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self.check_output_with_place(place)
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support_types = get_xpu_op_support_types('accuracy')
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for stype in support_types:
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create_test_class(globals(), XPUTestAccuracyOp, stype)
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if __name__ == '__main__':
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unittest.main()
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