wehub-resource-sync
100 lines
3.1 KiB
Python
100 lines
3.1 KiB
Python
# Copyright (c) 2021 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 import convert_float_to_uint16
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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 XPUTestFlatten2Op(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'flatten2'
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self.use_dynamic_create_class = False
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class TestFlatten2Op(XPUOpTest):
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def setUp(self):
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self.set_xpu()
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self.op_type = "flatten2"
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self.dtype = self.in_type
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self.place = paddle.XPUPlace(0)
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self.init_test_case()
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if self.dtype == np.uint16:
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data = np.random.random(self.in_shape).astype(np.float32)
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self.inputs = {"X": convert_float_to_uint16(data)}
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else:
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self.inputs = {
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"X": np.random.random(self.in_shape).astype(self.dtype)
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}
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self.init_attrs()
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self.outputs = {
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"Out": self.inputs["X"].reshape(self.new_shape),
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"XShape": np.random.random(self.in_shape).astype(self.dtype),
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}
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def set_xpu(self):
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self.__class__.use_xpu = True
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def test_check_output(self):
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self.check_output_with_place(self.place, no_check_set=["XShape"])
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def test_check_grad(self):
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self.check_grad_with_place(self.place, ["X"], "Out")
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def init_test_case(self):
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self.in_shape = (3, 2, 4, 5)
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self.axis = 1
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self.new_shape = (3, 40)
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def init_attrs(self):
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self.attrs = {"axis": self.axis}
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class TestFlatten2OpWithCornerAxis(TestFlatten2Op):
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def init_test_case(self):
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self.in_shape = (3, 2, 5, 4)
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self.axis = 0
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self.new_shape = (1, 120)
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class TestFlatten2OpWithDefaultAxis(TestFlatten2Op):
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def init_test_case(self):
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self.in_shape = (10, 2, 2, 3)
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self.new_shape = (10, 12)
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def init_attrs(self):
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self.attrs = {}
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class TestFlatten2OpSixDims(TestFlatten2Op):
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def init_test_case(self):
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self.in_shape = (3, 2, 3, 2, 4, 4)
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self.axis = 4
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self.new_shape = (36, 16)
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support_types = get_xpu_op_support_types('flatten2')
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for stype in support_types:
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create_test_class(globals(), XPUTestFlatten2Op, stype)
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if __name__ == "__main__":
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unittest.main()
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