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test_softmax2d.py
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test_softmax2d.py
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# Copyright (c) 2022 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
import paddle
import paddle.fluid as fluid
import paddle.fluid.core as core
from test_softmax_op import ref_softmax
class TestSoftmax2DAPI(unittest.TestCase):
def setUp(self):
self.shape = [2, 6, 5, 4]
self.x_np = np.random.uniform(-1, 1, self.shape).astype('float64')
self.axis = -3
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \
else paddle.CPUPlace()
def test_static_api(self):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()):
x = paddle.fluid.data('X', self.x_np.shape, self.x_np.dtype)
m = paddle.nn.Softmax2D()
out = m(x)
exe = paddle.static.Executor(self.place)
res = exe.run(feed={'X': self.x_np}, fetch_list=[out])
out_ref = ref_softmax(self.x_np, self.axis)
self.assertTrue(np.allclose(out_ref, res))
def test_dygraph_api(self):
paddle.disable_static(self.place)
x = paddle.to_tensor(self.x_np)
m = paddle.nn.Softmax2D()
out = m(x)
out_ref = ref_softmax(self.x_np, self.axis)
self.assertTrue(np.allclose(out_ref, out.numpy()))
paddle.enable_static()
class TestSoftmax2DShape(TestSoftmax2DAPI):
def setUp(self):
self.shape = [2, 6, 4]
self.x_np = np.random.uniform(-1, 1, self.shape).astype('float64')
self.axis = -3
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \
else paddle.CPUPlace()
class TestSoftmax2DFloat32(TestSoftmax2DAPI):
def setUp(self):
self.shape = [2, 3, 4]
self.x_np = np.random.uniform(-1, 1, self.shape).astype('float32')
self.axis = -3
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \
else paddle.CPUPlace()
class TestSoftmax2DCPU(TestSoftmax2DAPI):
def setUp(self):
self.shape = [2, 6, 4]
self.x_np = np.random.uniform(-1, 1, self.shape).astype('float64')
self.axis = -3
self.place = paddle.CPUPlace()
class TestSoftmax2DRepr(unittest.TestCase):
def setUp(self):
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \
else paddle.CPUPlace()
def test_extra_repr(self):
paddle.disable_static(self.place)
m = paddle.nn.Softmax2D(name='test')
self.assertTrue(m.extra_repr() == 'name=test')
paddle.enable_static()
class TestSoftmax2DError(unittest.TestCase):
def setUp(self):
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], 'float32')
m = paddle.nn.Softmax2D()
self.assertRaises(AssertionError, m, x)
def test_dygraph_error(self):
paddle.disable_static(self.place)
x_np = np.random.randn(2, 3, 4, 2, 3)
x = paddle.to_tensor(x_np, dtype='float64')
m = paddle.nn.Softmax2D()
self.assertRaises(AssertionError, m, x)
if __name__ == '__main__':
unittest.main()