wehub-resource-sync
119 lines
3.5 KiB
Python
119 lines
3.5 KiB
Python
# Copyright (c) 2020 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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paddle.enable_static()
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def ref_logsumexp(x, axis=None, keepdim=False, reduce_all=False):
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if isinstance(axis, int):
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axis = (axis,)
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elif isinstance(axis, list):
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axis = tuple(axis)
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if reduce_all:
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axis = None
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out = np.log(np.exp(x).sum(axis=axis, keepdims=keepdim))
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return out
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class XPUTestLogsumexpOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = "logsumexp"
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class XPUTestLogsumexp(XPUOpTest):
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def setUp(self):
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self.op_type = 'logsumexp'
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self.shape = [2, 3, 4, 5]
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self.dtype = self.in_type
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self.axis = [-1]
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self.keepdim = False
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self.reduce_all = False
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self.set_attrs()
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np.random.seed(10)
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x = np.random.uniform(-1, 1, self.shape).astype("float32")
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if self.dtype == np.uint16:
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x = convert_float_to_uint16(x)
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out = ref_logsumexp(
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convert_uint16_to_float(x),
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self.axis,
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self.keepdim,
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self.reduce_all,
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)
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else:
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x = x.astype(self.dtype)
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out = ref_logsumexp(x, self.axis, self.keepdim, self.reduce_all)
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self.inputs = {'X': x}
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self.outputs = {'Out': out}
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self.attrs = {
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'axis': self.axis,
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'keepdim': self.keepdim,
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'reduce_all': self.reduce_all,
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}
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def set_attrs(self):
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pass
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def test_check_output(self):
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if paddle.is_compiled_with_xpu():
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place = paddle.XPUPlace(0)
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self.check_output_with_place(place)
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def test_check_grad(self):
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if paddle.is_compiled_with_xpu():
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place = paddle.XPUPlace(0)
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self.check_grad_with_place(place, ['X'], 'Out')
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class TestLogsumexp_shape(XPUTestLogsumexp):
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def set_attrs(self):
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self.shape = [4, 5, 6]
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class TestLogsumexp_axis(XPUTestLogsumexp):
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def set_attrs(self):
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self.axis = [0, -1]
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class TestLogsumexp_axis_all(XPUTestLogsumexp):
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def set_attrs(self):
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self.axis = [0, 1, 2, 3]
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class TestLogsumexp_keepdim(XPUTestLogsumexp):
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def set_attrs(self):
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self.keepdim = True
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class TestLogsumexp_reduce_all(XPUTestLogsumexp):
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def set_attrs(self):
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self.reduce_all = True
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support_types = get_xpu_op_support_types("logsumexp")
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for stype in support_types:
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create_test_class(globals(), XPUTestLogsumexpOp, stype)
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if __name__ == '__main__':
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unittest.main()
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