wehub-resource-sync
108 lines
3.4 KiB
Python
108 lines
3.4 KiB
Python
# 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
|
|
from op_test import get_device_place
|
|
from test_softmax_op import ref_softmax
|
|
|
|
import paddle
|
|
|
|
|
|
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 = get_device_place()
|
|
|
|
def test_static_api(self):
|
|
paddle.enable_static()
|
|
with paddle.static.program_guard(paddle.static.Program()):
|
|
x = paddle.static.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)
|
|
np.testing.assert_allclose(out_ref, res, rtol=1e-05)
|
|
|
|
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)
|
|
np.testing.assert_allclose(out_ref, out.numpy(), rtol=1e-05)
|
|
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 = get_device_place()
|
|
|
|
|
|
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 = get_device_place()
|
|
|
|
|
|
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 = get_device_place()
|
|
|
|
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 = get_device_place()
|
|
|
|
def test_static_error(self):
|
|
paddle.enable_static()
|
|
with paddle.static.program_guard(paddle.static.Program()):
|
|
x = paddle.static.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()
|