wehub-resource-sync
112 lines
3.4 KiB
Python
112 lines
3.4 KiB
Python
# Copyright (c) 2022 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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check_run_big_shape_test,
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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 XPUTestSplitOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'split'
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self.use_dynamic_create_class = False
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# test with attr(num)
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class TestSplitOp(XPUOpTest):
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def setUp(self):
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self.init_dtype()
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self.__class__.use_xpu = True
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self.__class__.op_type = 'split'
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self.use_onednn = False
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self.initParameters()
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self.inputs = {'X': self.x}
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self.attrs = {
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'axis': self.axis,
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'sections': self.sections,
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'num': self.num,
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}
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out = np.split(self.x, self.indices_or_sections, self.axis)
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self.outputs = {
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'Out': [(f'out{i}', out[i]) for i in range(len(out))]
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}
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def init_dtype(self):
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self.dtype = self.in_type
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def initParameters(self):
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self.x = np.random.random((4, 5, 6)).astype(self.dtype)
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self.axis = 2
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self.sections = []
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self.num = 3
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self.indices_or_sections = 3
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def test_check_output(self):
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self.check_output_with_place(paddle.XPUPlace(0))
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# unknown sections
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class TestSplitOp1(TestSplitOp):
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def initParameters(self):
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self.x = np.random.random((4, 5, 6)).astype(self.dtype)
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self.axis = 2
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self.sections = [2, 1, -1]
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self.num = 0
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self.indices_or_sections = [2, 3]
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# test with int32
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class TestSplitOp2(TestSplitOp):
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def initParameters(self):
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self.x = np.random.random((4, 5, 6)).astype(np.int32)
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self.axis = 2
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self.sections = []
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self.num = 3
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self.indices_or_sections = 3
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# test sections list contains 0
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class TestSplitOp3(TestSplitOp):
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def initParameters(self):
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self.x = np.random.random((4, 5, 6)).astype(self.dtype)
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self.axis = 1
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self.sections = [2, 0, 3]
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self.num = 3
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self.indices_or_sections = [2, 2]
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@check_run_big_shape_test()
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class TestSplitOpLargeShape1(TestSplitOp):
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def initParameters(self):
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self.x = np.random.random((1, 8192, 5, 384)).astype(self.dtype)
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self.sections = []
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self.axis = 3
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self.num = 3
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self.indices_or_sections = 3
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support_types = get_xpu_op_support_types('split')
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for stype in support_types:
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create_test_class(globals(), XPUTestSplitOp, stype)
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if __name__ == '__main__':
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unittest.main()
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