wehub-resource-sync
233 lines
7.2 KiB
Python
233 lines
7.2 KiB
Python
# Copyright (c) 2018 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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class XPUTestXPUTransposeOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'transpose'
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self.use_dynamic_create_class = False
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class TestXPUTransposeOp(XPUOpTest):
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def setUp(self):
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self.init_op_type()
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self.init_type()
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self.initTestCase()
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self.use_xpu = True
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self.use_onednn = False
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self.inputs = {'X': np.random.random(self.shape).astype(self.dtype)}
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self.attrs = {
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'axis': list(self.axis),
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'use_onednn': False,
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'use_xpu': True,
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}
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self.outputs = {
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'XShape': np.random.random(self.shape).astype(self.dtype),
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'Out': self.inputs['X'].transpose(self.axis),
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}
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def init_op_type(self):
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self.op_type = "transpose2"
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self.use_onednn = False
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def init_type(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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paddle.enable_static()
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place = paddle.XPUPlace(0)
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self.check_output_with_place(
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place=place, no_check_set=['XShape']
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)
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def test_check_grad(self):
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if paddle.is_compiled_with_xpu():
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paddle.enable_static()
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place = paddle.XPUPlace(0)
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self.check_grad_with_place(place, ['X'], 'Out')
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def initTestCase(self):
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self.shape = (3, 40)
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self.axis = (1, 0)
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class TestCase_ZeroDim(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = ()
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self.axis = ()
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class TestCase0(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (100,)
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self.axis = (0,)
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class TestCase1(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (3, 4, 10)
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self.axis = (0, 2, 1)
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class TestCase2(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 3, 4, 5)
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self.axis = (0, 2, 3, 1)
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class TestCase3(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 3, 4, 5, 6)
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self.axis = (4, 2, 3, 1, 0)
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class TestCase4(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 3, 4, 5, 6, 1)
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self.axis = (4, 2, 3, 1, 0, 5)
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class TestCase5(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 16, 96)
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self.axis = (0, 2, 1)
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class TestCase6(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 10, 12, 16)
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self.axis = (3, 1, 2, 0)
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class TestCase7(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 10, 2, 16)
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self.axis = (0, 1, 3, 2)
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class TestCase8(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 3, 2, 3, 2, 4, 3, 3)
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self.axis = (0, 1, 3, 2, 4, 5, 6, 7)
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class TestCase9(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (2, 3, 2, 3, 2, 4, 3, 3)
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self.axis = (6, 1, 3, 5, 0, 2, 4, 7)
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class TestCase10(TestXPUTransposeOp):
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def initTestCase(self):
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self.shape = (200, 3, 2)
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self.axis = (-1, 1, -3)
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support_types = get_xpu_op_support_types('transpose')
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real_types = [t for t in support_types if t != 'complex64']
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for stype in real_types:
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create_test_class(globals(), XPUTestXPUTransposeOp, stype)
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if 'complex64' in support_types:
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class TestXPUTransposeComplexOp(XPUTestXPUTransposeOp.TestXPUTransposeOp):
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def setUp(self):
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self.init_op_type()
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self.initTestCase()
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self.dtype = np.complex64
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self.use_xpu = True
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self.use_onednn = False
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self.inputs = {
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'X': (
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np.random.random(self.shape)
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+ 1j * np.random.random(self.shape)
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).astype(self.dtype)
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}
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self.attrs = {
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'axis': list(self.axis),
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'use_onednn': False,
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'use_xpu': True,
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}
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self.outputs = {
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'XShape': (
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np.random.random(self.shape)
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+ 1j * np.random.random(self.shape)
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).astype(self.dtype),
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'Out': self.inputs['X'].transpose(self.axis),
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}
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class TestComplexCase_ZeroDim(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = ()
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self.axis = ()
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class TestComplexCase0(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (100,)
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self.axis = (0,)
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class TestComplexCase1(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (3, 4, 10)
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self.axis = (0, 2, 1)
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class TestComplexCase2(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 3, 4, 5)
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self.axis = (0, 2, 3, 1)
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class TestComplexCase3(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 3, 4, 5, 6)
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self.axis = (4, 2, 3, 1, 0)
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class TestComplexCase4(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 3, 4, 5, 6, 1)
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self.axis = (4, 2, 3, 1, 0, 5)
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class TestComplexCase5(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 16, 96)
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self.axis = (0, 2, 1)
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class TesComplexCase6(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 10, 12, 16)
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self.axis = (3, 1, 2, 0)
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class TestComplexCase7(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 10, 2, 16)
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self.axis = (0, 1, 3, 2)
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class TestComplexCase8(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 3, 2, 3, 2, 4, 3, 3)
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self.axis = (0, 1, 3, 2, 4, 5, 6, 7)
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class TestComplexCase9(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (2, 3, 2, 3, 2, 4, 3, 3)
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self.axis = (6, 1, 3, 5, 0, 2, 4, 7)
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class TestComplexCase10(TestXPUTransposeComplexOp):
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def initTestCase(self):
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self.shape = (200, 3, 2)
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self.axis = (-1, 1, -3)
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if __name__ == "__main__":
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unittest.main()
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