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- # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
-
- import unittest
-
- import numpy as np
- from get_test_cover_info import (
- XPUOpTestWrapper,
- create_test_class,
- get_xpu_op_support_types,
- )
- from op_test_xpu import XPUOpTest
-
- import paddle
-
- paddle.enable_static()
-
-
- class XPUTestCheckFiniteAndUnscaleOp(XPUOpTestWrapper):
- def __init__(self):
- self.op_name = 'check_finite_and_unscale'
- self.use_dynamic_create_class = False
-
- class TestCheckFiniteAndUnscaleOpNormal(XPUOpTest):
- def setUp(self):
- self.op_type = "check_finite_and_unscale"
- self.init_dtype()
- x = np.random.random((8, 8)).astype(self.dtype)
- scale = np.random.random(1).astype(np.float32)
- self.inputs = {'X': [('x0', x)], 'Scale': scale}
- self.outputs = {
- 'FoundInfinite': np.array([0]),
- 'Out': [('out0', x / scale)],
- }
-
- def init_dtype(self):
- self.dtype = self.in_type
-
- def test_check_output(self):
- if paddle.is_compiled_with_xpu():
- place = paddle.XPUPlace(0)
- self.check_output_with_place(place)
-
- class TestCheckFiniteAndUnscaleOpWithNan(XPUOpTest):
- def setUp(self):
- self.op_type = "check_finite_and_unscale"
- self.init_dtype()
- x = np.random.random((256, 256)).astype(self.dtype)
- idx1 = np.random.randint(255)
- idx2 = np.random.randint(255)
- x[idx1][idx2] = np.nan
- x[idx2][idx1] = np.nan
- scale = np.random.random(1).astype(np.float32)
-
- self.inputs = {'X': [('x0', x)], 'Scale': scale}
- self.outputs = {
- 'FoundInfinite': np.array([1]),
- 'Out': [('out0', x)],
- }
-
- def init_dtype(self):
- self.dtype = self.in_type
-
- def test_check_output(self):
- # When input contains nan, do not check the output,
- # since the output may be nondeterministic and will be discarded.
- if paddle.is_compiled_with_xpu():
- place = paddle.XPUPlace(0)
- self.check_output_with_place(place, no_check_set=['Out'])
-
- class TestCheckFiniteAndUnscaleOpWithInf(XPUOpTest):
- def setUp(self):
- self.op_type = "check_finite_and_unscale"
- self.init_dtype()
- x = np.random.random((256, 256)).astype(self.dtype)
- idx1 = np.random.randint(255)
- idx2 = np.random.randint(255)
- x[idx1][idx2] = np.nan
- x[idx2][idx1] = np.nan
- scale = np.random.random(1).astype(np.float32)
- self.inputs = {'X': [('x0', x)], 'Scale': scale}
- self.outputs = {
- 'FoundInfinite': np.array([1]),
- 'Out': [('out0', x)],
- }
-
- def init_dtype(self):
- self.dtype = self.in_type
-
- def test_check_output(self):
- # When input contains inf, do not check the output,
- # since the output may be nondeterministic and will be discarded.
- if paddle.is_compiled_with_xpu():
- place = paddle.XPUPlace(0)
- self.check_output_with_place(place, no_check_set=['Out'])
-
- class TestCheckFiniteAndUnscaleOpWithInfAndNan(XPUOpTest):
- def setUp(self):
- self.op_type = "check_finite_and_unscale"
- self.init_dtype()
- x = np.random.random((256, 256)).astype(self.dtype)
- idx1 = np.random.randint(255)
- idx2 = np.random.randint(255)
- x[idx1][idx2] = np.inf
- x[idx2][idx1] = np.nan
- scale = np.random.random(1).astype(np.float32)
- self.inputs = {'X': [('x0', x)], 'Scale': scale}
- self.outputs = {
- 'FoundInfinite': np.array([1]),
- 'Out': [('out0', x)],
- }
-
- def init_dtype(self):
- self.dtype = self.in_type
-
- def test_check_output(self):
- # When input contains inf, do not check the output,
- # since the output may be nondeterministic and will be discarded.
- if paddle.is_compiled_with_xpu():
- place = paddle.XPUPlace(0)
- self.check_output_with_place(place, no_check_set=['Out'])
-
-
- support_types = get_xpu_op_support_types('check_finite_and_unscale')
- for stype in support_types:
- create_test_class(globals(), XPUTestCheckFiniteAndUnscaleOp, stype)
-
- if __name__ == '__main__':
- unittest.main()
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