105 lines
3.1 KiB
Python
105 lines
3.1 KiB
Python
# Copyright (c) 2024 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, convert_uint16_to_float
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from op_test_xpu import XPUOpTest
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import paddle
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from paddle.base import core
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class XPUTestSinOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'sin'
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self.use_dynamic_create_class = False
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class TestSinOp(XPUOpTest):
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def setUp(self):
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self.init_dtype()
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self.set_xpu()
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self.op_type = "sin"
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self.place = paddle.XPUPlace(0)
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self.inputs = {}
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self.init_shape()
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self.init_data()
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if self.dtype == np.uint16:
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x_float32 = convert_uint16_to_float(self.inputs['X'])
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self.outputs = {'Out': np.sin(x_float32)}
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else:
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self.outputs = {'Out': np.sin(self.inputs['X'])}
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def set_xpu(self):
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self.__class__.use_xpu = True
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self.__class__.no_need_check_grad = False
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self.__class__.op_type = self.dtype
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def init_shape(self):
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self.shape = (4, 10, 10)
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def init_data(self):
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if self.dtype == np.uint16:
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x = np.random.random(self.shape).astype('float32')
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x = convert_float_to_uint16(x)
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self.inputs = {'X': x}
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else:
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self.inputs = {
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'X': np.random.random(self.shape).astype(self.dtype)
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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 test_check_output(self):
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self.check_output_with_place(self.place)
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def test_check_grad(self):
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if core.is_compiled_with_xpu():
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self.check_grad_with_place(self.place, ['X'], 'Out')
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class TestSinOp1(TestSinOp):
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def init_shape(self):
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self.shape = (8, 16, 8)
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class TestSinOp2(TestSinOp):
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def init_shape(self):
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self.shape = (8, 16)
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class TestSinOp3(TestSinOp):
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def init_shape(self):
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self.shape = (4, 8, 16)
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class TestSinOp4(TestSinOp):
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def init_shape(self):
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self.shape = (4, 8, 8)
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class TestSinOp5(TestSinOp):
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def init_shape(self):
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self.shape = (4, 8, 16)
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support_types = get_xpu_op_support_types('sin')
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for stype in support_types:
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create_test_class(globals(), XPUTestSinOp, stype)
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if __name__ == '__main__':
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unittest.main()
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