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test_frac_api.py
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/
test_frac_api.py
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# Copyright (c) 2018 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.
from __future__ import print_function
import unittest
import numpy as np
import paddle
import paddle.fluid as fluid
import paddle.fluid.core as core
from paddle.fluid import Program, program_guard
from paddle.fluid.framework import _test_eager_guard
def ref_frac(x):
return x - np.trunc(x)
class TestFracAPI(unittest.TestCase):
"""Test Frac API"""
def set_dtype(self):
self.dtype = 'float64'
def setUp(self):
self.set_dtype()
self.x_np = np.random.uniform(-3, 3, [2, 3]).astype(self.dtype)
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \
else paddle.CPUPlace()
def test_api_static(self):
paddle.enable_static()
with program_guard(Program()):
input = fluid.data('X', self.x_np.shape, self.x_np.dtype)
out = paddle.frac(input)
place = fluid.CPUPlace()
if fluid.core.is_compiled_with_cuda():
place = fluid.CUDAPlace(0)
exe = fluid.Executor(place)
res = exe.run(feed={'X': self.x_np}, fetch_list=[out])
out_ref = ref_frac(self.x_np)
self.assertTrue(np.allclose(out_ref, res))
def test_api_dygraph(self):
paddle.disable_static(self.place)
x = paddle.to_tensor(self.x_np)
out = paddle.frac(x)
out_ref = ref_frac(self.x_np)
self.assertTrue(np.allclose(out_ref, out.numpy()))
def test_api_eager(self):
paddle.disable_static(self.place)
with _test_eager_guard():
x_tensor = paddle.to_tensor(self.x_np)
out = paddle.frac(x_tensor)
out_ref = ref_frac(self.x_np)
self.assertTrue(np.allclose(out_ref, out.numpy()))
paddle.enable_static()
def test_api_eager_dygraph(self):
with _test_eager_guard():
self.test_api_dygraph()
class TestFracInt32(TestFracAPI):
"""Test Frac API with data type int32"""
def set_dtype(self):
self.dtype = 'int32'
class TestFracInt64(TestFracAPI):
"""Test Frac API with data type int64"""
def set_dtype(self):
self.dtype = 'int64'
class TestFracFloat32(TestFracAPI):
"""Test Frac API with data type float32"""
def set_dtype(self):
self.dtype = 'float32'
class TestFracError(unittest.TestCase):
"""Test Frac Error"""
def setUp(self):
self.x_np = np.random.uniform(-3, 3, [2, 3]).astype('int16')
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \
else paddle.CPUPlace()
def test_static_error(self):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()):
x = paddle.fluid.data('X', [5, 5], 'bool')
self.assertRaises(TypeError, paddle.frac, x)
def test_dygraph_error(self):
paddle.disable_static(self.place)
x = paddle.to_tensor(self.x_np, dtype='int16')
self.assertRaises(TypeError, paddle.frac, x)
if __name__ == '__main__':
unittest.main()