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152 lines
5.0 KiB
152 lines
5.0 KiB
# Copyright (c) 2020 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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import paddle
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import numpy as np
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from paddle import fluid, nn
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import paddle.fluid.dygraph as dg
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import paddle.nn.functional as F
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import paddle.fluid.initializer as I
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import unittest
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class AffineGridTestCase(unittest.TestCase):
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def __init__(self,
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methodName='runTest',
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theta_shape=(20, 2, 3),
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output_shape=[20, 2, 5, 7],
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align_corners=True,
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dtype="float32",
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invalid_theta=False,
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variable_output_shape=False):
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super(AffineGridTestCase, self).__init__(methodName)
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self.theta_shape = theta_shape
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self.output_shape = output_shape
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self.align_corners = align_corners
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self.dtype = dtype
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self.invalid_theta = invalid_theta
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self.variable_output_shape = variable_output_shape
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def setUp(self):
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self.theta = np.random.randn(*(self.theta_shape)).astype(self.dtype)
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def fluid_layer(self, place):
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paddle.enable_static()
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main = fluid.Program()
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start = fluid.Program()
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with fluid.unique_name.guard():
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with fluid.program_guard(main, start):
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theta_var = fluid.data(
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"input", self.theta_shape, dtype=self.dtype)
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y_var = fluid.layers.affine_grid(theta_var, self.output_shape)
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feed_dict = {"input": self.theta}
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exe = fluid.Executor(place)
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exe.run(start)
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y_np, = exe.run(main, feed=feed_dict, fetch_list=[y_var])
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return y_np
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def functional(self, place):
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paddle.enable_static()
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main = fluid.Program()
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start = fluid.Program()
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with fluid.unique_name.guard():
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with fluid.program_guard(main, start):
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theta_var = fluid.data(
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"input", self.theta_shape, dtype=self.dtype)
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y_var = F.affine_grid(
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theta_var,
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self.output_shape,
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align_corners=self.align_corners)
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feed_dict = {"input": self.theta}
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exe = fluid.Executor(place)
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exe.run(start)
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y_np, = exe.run(main, feed=feed_dict, fetch_list=[y_var])
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return y_np
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def paddle_dygraph_layer(self):
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paddle.disable_static()
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theta_var = dg.to_variable(
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self.theta) if not self.invalid_theta else "invalid"
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output_shape = dg.to_variable(
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self.
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output_shape) if self.variable_output_shape else self.output_shape
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y_var = F.affine_grid(
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theta_var, output_shape, align_corners=self.align_corners)
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y_np = y_var.numpy()
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return y_np
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def _test_equivalence(self, place):
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place = fluid.CPUPlace()
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result1 = self.fluid_layer(place)
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result2 = self.functional(place)
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result3 = self.paddle_dygraph_layer()
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if self.align_corners:
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np.testing.assert_array_almost_equal(result1, result2)
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np.testing.assert_array_almost_equal(result2, result3)
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def runTest(self):
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place = fluid.CPUPlace()
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self._test_equivalence(place)
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if fluid.core.is_compiled_with_cuda():
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place = fluid.CUDAPlace(0)
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self._test_equivalence(place)
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class AffineGridErrorTestCase(AffineGridTestCase):
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def runTest(self):
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place = fluid.CPUPlace()
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with dg.guard(place):
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with self.assertRaises(ValueError):
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self.paddle_dygraph_layer()
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def add_cases(suite):
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suite.addTest(AffineGridTestCase(methodName='runTest'))
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suite.addTest(AffineGridTestCase(methodName='runTest', align_corners=True))
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suite.addTest(AffineGridTestCase(methodName='runTest', align_corners=False))
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suite.addTest(
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AffineGridTestCase(
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methodName='runTest', variable_output_shape=True))
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suite.addTest(
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AffineGridTestCase(
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methodName='runTest',
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theta_shape=(20, 2, 3),
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output_shape=[20, 1, 7, 7],
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align_corners=True))
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def add_error_cases(suite):
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suite.addTest(
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AffineGridErrorTestCase(
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methodName='runTest', output_shape="not_valid"))
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suite.addTest(
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AffineGridErrorTestCase(
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methodName='runTest',
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invalid_theta=True)) # to test theta not variable error checking
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def load_tests(loader, standard_tests, pattern):
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suite = unittest.TestSuite()
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add_cases(suite)
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add_error_cases(suite)
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return suite
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if __name__ == '__main__':
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unittest.main()
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