wehub-resource-sync
102 lines
3.0 KiB
Python
102 lines
3.0 KiB
Python
# Copyright (c) 2023 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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def l2_norm(x, axis, epsilon):
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x2 = x**2
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s = np.sum(x2, axis=axis, keepdims=True)
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r = np.sqrt(s + epsilon)
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y = x / np.broadcast_to(r, x.shape)
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return y, r
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class XPUTestNormOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = "norm"
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self.use_dynamic_create_class = False
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class TestXPUNormOp(XPUOpTest):
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def setUp(self):
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self.op_type = "norm"
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self.dtype = (
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self.in_type if self.in_type != np.uint16 else np.float32
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)
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self.place = paddle.XPUPlace(0)
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self.init_test_case()
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x = np.random.random(self.shape).astype(self.dtype)
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y, norm = l2_norm(x, self.axis, self.epsilon)
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if self.in_type == np.uint16:
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x = convert_float_to_uint16(x)
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self.inputs = {'X': x}
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self.attrs = {'epsilon': self.epsilon, 'axis': self.axis}
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self.outputs = {'Out': y, 'Norm': norm}
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def init_test_case(self):
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self.shape = [2, 3, 4, 5]
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self.axis = 1
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self.epsilon = 1e-8
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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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self.check_grad_with_place(self.place, ['X'], 'Out')
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class TestXPUNormOp2(TestXPUNormOp):
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def init_test_case(self):
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self.shape = [5, 3, 9, 7]
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self.axis = 0
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self.epsilon = 1e-8
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class TestXPUNormOp3(TestXPUNormOp):
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def init_test_case(self):
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self.shape = [5, 3, 2, 7]
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self.axis = -1
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self.epsilon = 1e-8
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class TestXPUNormOp4(TestXPUNormOp):
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def init_test_case(self):
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self.shape = [128, 1024, 14, 14]
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self.axis = 2
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self.epsilon = 1e-8
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class TestXPUNormOp5(TestXPUNormOp):
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def init_test_case(self):
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self.shape = [2048, 2048]
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self.axis = 1
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self.epsilon = 1e-8
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support_types = get_xpu_op_support_types('norm')
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for stype in support_types:
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create_test_class(globals(), XPUTestNormOp, stype)
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if __name__ == "__main__":
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unittest.main()
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