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【PaddlePaddle Hackathon 2】23、为 Paddle 新增 Softmax2D 组网API (#40910)
* Hackathon 23 * fix bug * fix pylint error * try * fix CI-Coverage * update and add more unittest * update
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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. | ||
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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 | ||
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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() | ||
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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)) | ||
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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() | ||
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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() | ||
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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() | ||
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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() | ||
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class TestSoftmax2DRepr(unittest.TestCase): | ||
def setUp(self): | ||
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \ | ||
else paddle.CPUPlace() | ||
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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() | ||
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class TestSoftmax2DError(unittest.TestCase): | ||
def setUp(self): | ||
self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \ | ||
else paddle.CPUPlace() | ||
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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) | ||
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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) | ||
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if __name__ == '__main__': | ||
unittest.main() |
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