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78 lines
2.5 KiB
78 lines
2.5 KiB
# 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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from __future__ import print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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import paddle.fluid.core as core
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import paddle.fluid as fluid
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from paddle.fluid import Program, program_guard
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class TestMeanOp(OpTest):
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def setUp(self):
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self.op_type = "mean"
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self.dtype = np.float64
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self.init_dtype_type()
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self.inputs = {'X': np.random.random((10, 10)).astype(self.dtype)}
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self.outputs = {'Out': np.mean(self.inputs["X"])}
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def init_dtype_type(self):
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pass
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def test_check_output(self):
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self.check_output()
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def test_checkout_grad(self):
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self.check_grad(['X'], 'Out')
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class TestMeanOpError(unittest.TestCase):
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def test_errors(self):
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with program_guard(Program(), Program()):
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# The input type of mean_op must be Variable.
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input1 = 12
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self.assertRaises(TypeError, fluid.layers.mean, input1)
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# The input dtype of mean_op must be float16, float32, float64.
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input2 = fluid.layers.data(
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name='input2', shape=[12, 10], dtype="int32")
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self.assertRaises(TypeError, fluid.layers.mean, input2)
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input3 = fluid.layers.data(
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name='input3', shape=[4], dtype="float16")
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fluid.layers.softmax(input3)
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@unittest.skipIf(not core.is_compiled_with_cuda(),
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"core is not compiled with CUDA")
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class TestFP16MeanOp(TestMeanOp):
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def init_dtype_type(self):
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self.dtype = np.float16
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def test_check_output(self):
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place = core.CUDAPlace(0)
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if core.is_float16_supported(place):
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self.check_output_with_place(place, atol=2e-3)
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def test_checkout_grad(self):
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place = core.CUDAPlace(0)
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if core.is_float16_supported(place):
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self.check_grad_with_place(
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place, ['X'], 'Out', max_relative_error=0.8)
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if __name__ == "__main__":
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unittest.main()
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