wehub-resource-sync
1977 lines
52 KiB
Python
1977 lines
52 KiB
Python
# Copyright (c) 2021 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 contextlib
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import unittest
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import numpy as np
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import scipy.fft
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from test_fft import (
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ATOL,
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DEVICES,
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RTOL,
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TEST_CASE_NAME,
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parameterize,
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place,
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rand_x,
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)
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import paddle
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@contextlib.contextmanager
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def stgraph(func, place, x, n, axes, norm):
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"""static graph exec context"""
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paddle.enable_static()
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mp, sp = paddle.static.Program(), paddle.static.Program()
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with paddle.static.program_guard(mp, sp):
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input = paddle.static.data('input', x.shape, dtype=x.dtype)
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output = func(input, n, axes, norm)
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exe = paddle.static.Executor(place)
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exe.run(sp)
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[output] = exe.run(mp, feed={'input': x}, fetch_list=[output])
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yield output
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paddle.disable_static()
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
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[
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('test_x_float64', rand_x(5, np.float64), None, -1, 'backward'),
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(
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'test_x_complex64',
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rand_x(5, np.float64, complex=True),
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None,
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-1,
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'backward',
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),
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(
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'test_n_grater_than_input_length',
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rand_x(5, max_dim_len=5),
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11,
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-1,
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'backward',
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),
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(
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'test_n_smaller_than_input_length',
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rand_x(5, min_dim_len=5),
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3,
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-1,
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'backward',
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),
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('test_axis_not_last', rand_x(5), None, 3, 'backward'),
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('test_norm_forward', rand_x(5), None, 3, 'forward'),
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('test_norm_ortho', rand_x(5), None, 3, 'ortho'),
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],
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)
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class TestFft(unittest.TestCase):
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def test_static_rfft(self):
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with stgraph(
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paddle.fft.fft, self.place, self.x, self.n, self.axis, self.norm
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) as y:
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np.testing.assert_allclose(
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scipy.fft.fft(self.x, self.n, self.axis, self.norm),
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y,
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rtol=RTOL.get(str(self.x.dtype)),
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atol=ATOL.get(str(self.x.dtype)),
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)
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
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[
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('test_n_negative', rand_x(2), -1, -1, 'backward', ValueError),
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('test_n_zero', rand_x(2), 0, -1, 'backward', ValueError),
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('test_axis_out_of_range', rand_x(1), None, 10, 'backward', ValueError),
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(
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'test_axis_with_array',
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rand_x(1),
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None,
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(0, 1),
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'backward',
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ValueError,
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),
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(
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'test_norm_not_in_enum_value',
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rand_x(2),
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None,
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-1,
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'random',
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ValueError,
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),
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],
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)
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class TestFftException(unittest.TestCase):
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def test_fft(self):
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with (
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self.assertRaises(self.expect_exception),
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stgraph(
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paddle.fft.fft, self.place, self.x, self.n, self.axis, self.norm
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) as y,
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):
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pass
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
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[
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('test_x_float64', rand_x(5), None, (0, 1), 'backward'),
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(
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'test_x_complex128',
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rand_x(5, complex=True),
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None,
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(0, 1),
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'backward',
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),
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(
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'test_n_grater_input_length',
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rand_x(5, max_dim_len=5),
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(6, 6),
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(0, 1),
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'backward',
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),
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(
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'test_n_smaller_than_input_length',
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rand_x(5, min_dim_len=5),
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(4, 4),
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(0, 1),
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'backward',
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),
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('test_axis_random', rand_x(5), None, (1, 2), 'backward'),
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('test_axis_none', rand_x(5), None, None, 'backward'),
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('test_norm_forward', rand_x(5), None, (0, 1), 'forward'),
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('test_norm_ortho', rand_x(5), None, (0, 1), 'ortho'),
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],
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)
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class TestFft2(unittest.TestCase):
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def test_static_fft2(self):
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with stgraph(
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paddle.fft.fft2, self.place, self.x, self.n, self.axis, self.norm
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) as y:
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np.testing.assert_allclose(
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scipy.fft.fft2(self.x, self.n, self.axis, self.norm),
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y,
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rtol=RTOL.get(str(self.x.dtype)),
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atol=ATOL.get(str(self.x.dtype)),
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)
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
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[
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# ('test_x_not_tensor', [0, 1], None, (0, 1), 'backward', ValueError),
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('test_x_1dim_tensor', rand_x(1), None, (0, 1), 'backward', ValueError),
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('test_n_negative', rand_x(2), -1, (0, 1), 'backward', ValueError),
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('test_n_zero', rand_x(2), 0, (0, 1), 'backward', ValueError),
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(
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'test_axis_out_of_range',
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rand_x(2),
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None,
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(0, 1, 2),
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'backward',
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ValueError,
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),
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(
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'test_axis_with_array',
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rand_x(1),
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None,
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(0, 1),
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'backward',
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ValueError,
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),
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(
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'test_axis_not_sequence',
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rand_x(5),
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None,
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-10,
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'backward',
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ValueError,
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),
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('test_norm_not_enum', rand_x(2), None, -1, 'random', ValueError),
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],
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)
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class TestFft2Exception(unittest.TestCase):
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def test_static_fft2(self):
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with (
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self.assertRaises(self.expect_exception),
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stgraph(
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paddle.fft.fft2,
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self.place,
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self.x,
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self.n,
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self.axis,
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self.norm,
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) as y,
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):
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pass
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
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[
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('test_x_float64', rand_x(5, np.float64), None, None, 'backward'),
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(
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'test_x_complex128',
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rand_x(5, np.float64, complex=True),
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None,
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None,
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'backward',
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),
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(
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'test_n_grater_input_length',
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rand_x(5, max_dim_len=5),
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(6, 6),
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(1, 2),
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'backward',
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),
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(
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'test_n_smaller_input_length',
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rand_x(5, min_dim_len=5),
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(3, 3),
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(1, 2),
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'backward',
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),
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('test_axis_not_default', rand_x(5), None, (1, 2), 'backward'),
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('test_norm_forward', rand_x(5), None, None, 'forward'),
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('test_norm_ortho', rand_x(5), None, None, 'ortho'),
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],
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)
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class TestFftn(unittest.TestCase):
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def test_static_fftn(self):
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with stgraph(
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paddle.fft.fftn, self.place, self.x, self.n, self.axis, self.norm
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) as y:
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np.testing.assert_allclose(
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scipy.fft.fftn(self.x, self.n, self.axis, self.norm),
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y,
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rtol=RTOL.get(str(self.x.dtype)),
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atol=ATOL.get(str(self.x.dtype)),
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)
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
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[
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(
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'test_n_negative',
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rand_x(4),
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(-1, -1),
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(1, 2),
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'backward',
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ValueError,
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),
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('test_n_not_sequence', rand_x(4), -1, None, 'backward', ValueError),
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('test_n_zero', rand_x(4), 0, None, 'backward', ValueError),
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(
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'test_axis_out_of_range',
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rand_x(1),
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None,
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[0, 1],
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'backward',
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ValueError,
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),
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('test_norm_not_in_enum', rand_x(2), None, -1, 'random', ValueError),
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],
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)
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class TestFftnException(unittest.TestCase):
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def test_static_fftn(self):
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with (
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self.assertRaises(self.expect_exception),
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stgraph(
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paddle.fft.fftn,
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self.place,
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self.x,
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self.n,
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self.axis,
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self.norm,
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) as y,
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):
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pass
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
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[
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(
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'test_x_complex128',
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(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
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np.complex128
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),
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None,
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-1,
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"backward",
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),
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(
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'test_n_grater_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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4,
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-1,
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"backward",
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),
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(
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'test_n_smaller_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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2,
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-1,
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"backward",
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),
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(
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'test_axis_not_last',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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1,
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"backward",
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),
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(
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'test_norm_forward',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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1,
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"forward",
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),
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(
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'test_norm_ortho',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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-1,
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"ortho",
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),
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],
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)
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class TestHfft(unittest.TestCase):
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"""Test hfft with norm condition"""
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def test_hfft(self):
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with stgraph(
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paddle.fft.hfft, self.place, self.x, self.n, self.axis, self.norm
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) as y:
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np.testing.assert_allclose(
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scipy.fft.hfft(self.x, self.n, self.axis, self.norm),
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y,
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rtol=1e-5,
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atol=0,
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)
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
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[
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(
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'test_x_complex128',
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(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
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np.complex128
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),
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None,
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-1,
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"backward",
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),
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(
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'test_n_grater_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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4,
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-1,
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"backward",
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),
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(
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'test_n_smaller_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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2,
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-1,
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"backward",
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),
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(
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'test_axis_not_last',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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-1,
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"backward",
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),
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(
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'test_norm_forward',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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-1,
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"forward",
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),
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(
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'test_norm_ortho',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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-1,
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"ortho",
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),
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],
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)
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class TestIrfft(unittest.TestCase):
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"""Test irfft with norm condition"""
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def test_irfft(self):
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with stgraph(
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paddle.fft.irfft, self.place, self.x, self.n, self.axis, self.norm
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) as y:
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np.testing.assert_allclose(
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scipy.fft.irfft(self.x, self.n, self.axis, self.norm),
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y,
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rtol=1e-5,
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atol=0,
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)
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
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[
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(
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'test_x_complex128',
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(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
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np.complex128
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),
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None,
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None,
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"backward",
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),
|
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(
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'test_n_grater_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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[4],
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None,
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"backward",
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),
|
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(
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'test_n_smaller_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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[2],
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None,
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"backward",
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),
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(
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'test_axis_not_last',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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None,
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"backward",
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),
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(
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'test_norm_forward',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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None,
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"forward",
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),
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(
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'test_norm_ortho',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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None,
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None,
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"ortho",
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),
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],
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)
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class Testirfftn(unittest.TestCase):
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"""Test irfftn with norm condition"""
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def test_static_irfftn(self):
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with stgraph(
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paddle.fft.irfftn, self.place, self.x, self.n, self.axis, self.norm
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) as y:
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np.testing.assert_allclose(
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scipy.fft.irfftn(self.x, self.n, self.axis, self.norm),
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y,
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rtol=1e-5,
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atol=0,
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)
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@place(DEVICES)
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@parameterize(
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(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
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[
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(
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'test_x_complex128',
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(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
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np.complex128
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),
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None,
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None,
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"backward",
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),
|
|
(
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'test_n_grater_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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[4],
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None,
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"backward",
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),
|
|
(
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'test_n_smaller_than_input_length',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
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[2],
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None,
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"backward",
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),
|
|
(
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'test_axis_not_last',
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np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
None,
|
|
"backward",
|
|
),
|
|
(
|
|
'test_norm_forward',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
None,
|
|
"forward",
|
|
),
|
|
(
|
|
'test_norm_ortho',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
None,
|
|
"ortho",
|
|
),
|
|
],
|
|
)
|
|
class Testhfftn(unittest.TestCase):
|
|
"""Test hfftn with norm condition"""
|
|
|
|
def test_static_hfftn(self):
|
|
with stgraph(
|
|
paddle.fft.hfftn, self.place, self.x, self.n, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.hfftn(self.x, self.n, self.axis, self.norm),
|
|
y,
|
|
rtol=1e-5,
|
|
atol=0,
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 's', 'axis', 'norm'),
|
|
[
|
|
(
|
|
'test_x_complex128',
|
|
(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
|
|
np.complex128
|
|
),
|
|
None,
|
|
(-2, -1),
|
|
"backward",
|
|
),
|
|
(
|
|
'test_n_grater_input_length',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
[4, 8],
|
|
(-2, -1),
|
|
"backward",
|
|
),
|
|
(
|
|
'test_n_smaller_input_length',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
[2, 4],
|
|
(-2, -1),
|
|
"backward",
|
|
),
|
|
(
|
|
'test_axis_not_last',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
(-2, -1),
|
|
"backward",
|
|
),
|
|
(
|
|
'test_norm_forward',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
(-2, -1),
|
|
"forward",
|
|
),
|
|
(
|
|
'test_norm_ortho',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
(-2, -1),
|
|
"ortho",
|
|
),
|
|
],
|
|
)
|
|
class Testhfft2(unittest.TestCase):
|
|
"""Test hfft2 with norm condition"""
|
|
|
|
def test_static_hfft2(self):
|
|
with stgraph(
|
|
paddle.fft.hfft2, self.place, self.x, self.s, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.hfft2(self.x, self.s, self.axis, self.norm),
|
|
y,
|
|
rtol=1e-5,
|
|
atol=0,
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 's', 'axis', 'norm'),
|
|
[
|
|
(
|
|
'test_x_complex128',
|
|
(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
|
|
np.complex128
|
|
),
|
|
None,
|
|
(-2, -1),
|
|
"backward",
|
|
),
|
|
(
|
|
'test_n_equal_input_length',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(2, 4),
|
|
(-2, -1),
|
|
"backward",
|
|
),
|
|
(
|
|
'test_axis_not_last',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
(-2, -1),
|
|
"backward",
|
|
),
|
|
(
|
|
'test_norm_forward',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
(-2, -1),
|
|
"forward",
|
|
),
|
|
(
|
|
'test_norm_ortho',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
None,
|
|
(-2, -1),
|
|
"ortho",
|
|
),
|
|
],
|
|
)
|
|
class TestIrfft2(unittest.TestCase):
|
|
"""Test irfft2 with norm condition"""
|
|
|
|
def test_static_irfft2(self):
|
|
with stgraph(
|
|
paddle.fft.irfft2, self.place, self.x, self.s, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.irfft2(self.x, self.s, self.axis, self.norm),
|
|
y,
|
|
rtol=1e-5,
|
|
atol=0,
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_input_dtype',
|
|
np.random.randn(4, 4, 4),
|
|
None,
|
|
-1,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_bool_input',
|
|
(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
|
|
np.bool_
|
|
),
|
|
None,
|
|
-1,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_n_negative',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
-1,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_zero',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
0,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_type',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(1, 2, 3),
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_out_of_range',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
10,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_with_array',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
(0, 1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
None,
|
|
-1,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestHfftException(unittest.TestCase):
|
|
'''Test hfft with buoudary condition
|
|
Test case include:
|
|
- non complex input
|
|
- n out of range
|
|
- axis out of range
|
|
- norm out of range
|
|
'''
|
|
|
|
def test_static_hfft(self):
|
|
if 'test_input_dtype' in str(self):
|
|
with (
|
|
paddle.pir_utils.OldIrGuard(),
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.hfft,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
else:
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.hfft,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_input_dtype',
|
|
np.random.randn(4, 4, 4),
|
|
None,
|
|
-1,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_bool_input',
|
|
(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
|
|
np.bool_
|
|
),
|
|
None,
|
|
-1,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_n_negative',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
-1,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_zero',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
0,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_type',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(1, 2),
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_out_of_range',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
10,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_with_array',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
(0, 1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
None,
|
|
None,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestIrfftException(unittest.TestCase):
|
|
'''Test Irfft with buoudary condition
|
|
Test case include:
|
|
- non complex input
|
|
- n out of range
|
|
- axis out of range
|
|
- norm out of range
|
|
- the dimensions of n and axis are different
|
|
'''
|
|
|
|
def test_static_irfft(self):
|
|
if 'test_input_dtype' in str(self):
|
|
with (
|
|
paddle.pir_utils.OldIrGuard(),
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.irfft,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
else:
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.irfft,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_input_dtype',
|
|
np.random.randn(4, 4, 4),
|
|
None,
|
|
None,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_bool_input',
|
|
(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
|
|
np.bool_
|
|
),
|
|
None,
|
|
(-2, -1),
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_n_negative',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(-1, -2),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_zero',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(0, 0),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_type',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
3,
|
|
None,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_axis_dim',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(1, 2),
|
|
(-1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_out_of_range',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
(1, 2),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_type',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
None,
|
|
None,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestHfft2Exception(unittest.TestCase):
|
|
'''Test hfft2 with buoudary condition
|
|
Test case include:
|
|
- non complex input
|
|
- n out of range
|
|
- axis out of range
|
|
- the dimensions of n and axis are different
|
|
- norm out of range
|
|
'''
|
|
|
|
def test_static_hfft2(self):
|
|
if 'test_input_dtype' in str(self):
|
|
with (
|
|
paddle.pir_utils.OldIrGuard(),
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.hfft2,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
else:
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.hfft2,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_input_dtype',
|
|
np.random.randn(4, 4, 4),
|
|
None,
|
|
None,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_bool_input',
|
|
(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
|
|
np.bool_
|
|
),
|
|
None,
|
|
(-2, -1),
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_n_negative',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(-1, -2),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_zero',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(0, 0),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_type',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
3,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_axis_dim',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(1, 2),
|
|
(-3, -2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_out_of_range',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
(1, 2),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_type',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
None,
|
|
None,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestIrfft2Exception(unittest.TestCase):
|
|
'''Test irfft2 with buoudary condition
|
|
Test case include:
|
|
- non complex input
|
|
- n out of range
|
|
- axis out of range
|
|
- norm out of range
|
|
- the dimensions of n and axis are different
|
|
'''
|
|
|
|
def test_static_irfft2(self):
|
|
if 'test_input_dtype' in str(self):
|
|
with (
|
|
paddle.pir_utils.OldIrGuard(),
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.irfft2,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
else:
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.irfft2,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_input_dtype',
|
|
np.random.randn(4, 4, 4),
|
|
None,
|
|
None,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_bool_input',
|
|
(np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)).astype(
|
|
np.bool_
|
|
),
|
|
None,
|
|
(-2, -1),
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_n_negative',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(-1, -2),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_zero',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(0, 0),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_type',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
3,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_axis_dim',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(1, 2),
|
|
(-3, -2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_out_of_range',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
(10, 20),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_type',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
None,
|
|
None,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestHfftnException(unittest.TestCase):
|
|
'''Test hfftn with buoudary condition
|
|
Test case include:
|
|
- non complex input
|
|
- n out of range
|
|
- axis out of range
|
|
- norm out of range
|
|
- the dimensions of n and axis are different
|
|
'''
|
|
|
|
def test_static_hfftn(self):
|
|
if 'test_input_dtype' in str(self):
|
|
with (
|
|
paddle.pir_utils.OldIrGuard(),
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.hfftn,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
else:
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.hfftn,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_input_dtype',
|
|
np.random.randn(4, 4, 4),
|
|
None,
|
|
None,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
# ('test_bool_input',
|
|
# (np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4)
|
|
# ).astype(np.bool_), None, (-2, -1), 'backward', ValueError),
|
|
(
|
|
'test_n_negative',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(-1, -2),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_zero',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(0, 0),
|
|
(-2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_type',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
3,
|
|
-1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_n_axis_dim',
|
|
np.random.randn(4, 4, 4) + 1j * np.random.randn(4, 4, 4),
|
|
(1, 2),
|
|
(-3, -2, -1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_out_of_range',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
(10, 20),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_type',
|
|
np.random.randn(4) + 1j * np.random.randn(4),
|
|
None,
|
|
1,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
np.random.randn(4, 4) + 1j * np.random.randn(4, 4),
|
|
None,
|
|
None,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestIrfftnException(unittest.TestCase):
|
|
'''Test irfftn with buoudary condition
|
|
Test case include:
|
|
- non complex input
|
|
- n out of range
|
|
- axis out of range
|
|
- norm out of range
|
|
- the dimensions of n and axis are different
|
|
'''
|
|
|
|
def test_static_irfftn(self):
|
|
if 'test_input_dtype' in str(self):
|
|
with (
|
|
paddle.pir_utils.OldIrGuard(),
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.irfftn,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
else:
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.irfftn,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
|
|
[
|
|
('test_x_float64', rand_x(5, np.float64), None, -1, 'backward'),
|
|
(
|
|
'test_n_grater_than_input_length',
|
|
rand_x(5, max_dim_len=5),
|
|
11,
|
|
-1,
|
|
'backward',
|
|
),
|
|
(
|
|
'test_n_smaller_than_input_length',
|
|
rand_x(5, min_dim_len=5),
|
|
3,
|
|
-1,
|
|
'backward',
|
|
),
|
|
('test_axis_not_last', rand_x(5), None, 3, 'backward'),
|
|
('test_norm_forward', rand_x(5), None, 3, 'forward'),
|
|
('test_norm_ortho', rand_x(5), None, 3, 'ortho'),
|
|
],
|
|
)
|
|
class TestRfft(unittest.TestCase):
|
|
def test_static_rfft(self):
|
|
with stgraph(
|
|
paddle.fft.rfft, self.place, self.x, self.n, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.rfft(self.x, self.n, self.axis, self.norm),
|
|
y,
|
|
rtol=RTOL.get(str(self.x.dtype)),
|
|
atol=ATOL.get(str(self.x.dtype)),
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
('test_n_negative', rand_x(2), -1, -1, 'backward', ValueError),
|
|
('test_n_zero', rand_x(2), 0, -1, 'backward', ValueError),
|
|
('test_axis_out_of_range', rand_x(1), None, 10, 'backward', ValueError),
|
|
(
|
|
'test_axis_with_array',
|
|
rand_x(1),
|
|
None,
|
|
(0, 1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
rand_x(2),
|
|
None,
|
|
-1,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestRfftException(unittest.TestCase):
|
|
def test_rfft(self):
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.rfft,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
|
|
[
|
|
('test_x_float64', rand_x(5), None, (0, 1), 'backward'),
|
|
(
|
|
'test_n_grater_input_length',
|
|
rand_x(5, max_dim_len=5),
|
|
(6, 6),
|
|
(0, 1),
|
|
'backward',
|
|
),
|
|
(
|
|
'test_n_smaller_than_input_length',
|
|
rand_x(5, min_dim_len=5),
|
|
(4, 4),
|
|
(0, 1),
|
|
'backward',
|
|
),
|
|
('test_axis_random', rand_x(5), None, (1, 2), 'backward'),
|
|
('test_axis_none', rand_x(5), None, None, 'backward'),
|
|
('test_norm_forward', rand_x(5), None, (0, 1), 'forward'),
|
|
('test_norm_ortho', rand_x(5), None, (0, 1), 'ortho'),
|
|
],
|
|
)
|
|
class TestRfft2(unittest.TestCase):
|
|
def test_static_rfft2(self):
|
|
with stgraph(
|
|
paddle.fft.rfft2, self.place, self.x, self.n, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.rfft2(self.x, self.n, self.axis, self.norm),
|
|
y,
|
|
rtol=RTOL.get(str(self.x.dtype)),
|
|
atol=ATOL.get(str(self.x.dtype)),
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_x_complex_input',
|
|
rand_x(2, complex=True),
|
|
None,
|
|
(0, 1),
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
# ('test_x_not_tensor', [0, 1], None, (0, 1), 'backward', ValueError),
|
|
('test_x_1dim_tensor', rand_x(1), None, (0, 1), 'backward', ValueError),
|
|
('test_n_negative', rand_x(2), -1, (0, 1), 'backward', ValueError),
|
|
('test_n_zero', rand_x(2), 0, (0, 1), 'backward', ValueError),
|
|
(
|
|
'test_axis_out_of_range',
|
|
rand_x(2),
|
|
None,
|
|
(0, 1, 2),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_with_array',
|
|
rand_x(1),
|
|
None,
|
|
(0, 1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_not_sequence',
|
|
rand_x(5),
|
|
None,
|
|
-10,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
('test_norm_not_enum', rand_x(2), None, -1, 'random', ValueError),
|
|
],
|
|
)
|
|
class TestRfft2Exception(unittest.TestCase):
|
|
def test_static_rfft(self):
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.rfft2,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
|
|
[
|
|
('test_x_float64', rand_x(5, np.float64), None, None, 'backward'),
|
|
(
|
|
'test_n_grater_input_length',
|
|
rand_x(5, max_dim_len=5),
|
|
(6, 6),
|
|
(1, 2),
|
|
'backward',
|
|
),
|
|
(
|
|
'test_n_smaller_input_length',
|
|
rand_x(5, min_dim_len=5),
|
|
(3, 3),
|
|
(1, 2),
|
|
'backward',
|
|
),
|
|
('test_axis_not_default', rand_x(5), None, (1, 2), 'backward'),
|
|
('test_norm_forward', rand_x(5), None, None, 'forward'),
|
|
('test_norm_ortho', rand_x(5), None, None, 'ortho'),
|
|
],
|
|
)
|
|
class TestRfftn(unittest.TestCase):
|
|
def test_static_rfft(self):
|
|
with stgraph(
|
|
paddle.fft.rfftn, self.place, self.x, self.n, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.rfftn(self.x, self.n, self.axis, self.norm),
|
|
y,
|
|
rtol=RTOL.get(str(self.x.dtype)),
|
|
atol=ATOL.get(str(self.x.dtype)),
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_x_complex',
|
|
rand_x(4, complex=True),
|
|
None,
|
|
None,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
(
|
|
'test_n_negative',
|
|
rand_x(4),
|
|
(-1, -1),
|
|
(1, 2),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
('test_n_not_sequence', rand_x(4), -1, None, 'backward', ValueError),
|
|
('test_n_zero', rand_x(4), 0, None, 'backward', ValueError),
|
|
(
|
|
'test_axis_out_of_range',
|
|
rand_x(1),
|
|
None,
|
|
[0, 1],
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
('test_norm_not_in_enum', rand_x(2), None, -1, 'random', ValueError),
|
|
],
|
|
)
|
|
class TestRfftnException(unittest.TestCase):
|
|
def test_static_rfftn(self):
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.rfftn,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
|
|
[
|
|
('test_x_float64', rand_x(5, np.float64), None, -1, 'backward'),
|
|
(
|
|
'test_n_grater_than_input_length',
|
|
rand_x(5, max_dim_len=5),
|
|
11,
|
|
-1,
|
|
'backward',
|
|
),
|
|
(
|
|
'test_n_smaller_than_input_length',
|
|
rand_x(5, min_dim_len=5),
|
|
3,
|
|
-1,
|
|
'backward',
|
|
),
|
|
('test_axis_not_last', rand_x(5), None, 3, 'backward'),
|
|
('test_norm_forward', rand_x(5), None, 3, 'forward'),
|
|
('test_norm_ortho', rand_x(5), None, 3, 'ortho'),
|
|
],
|
|
)
|
|
class TestIhfft(unittest.TestCase):
|
|
def test_static_ihfft(self):
|
|
with stgraph(
|
|
paddle.fft.ihfft, self.place, self.x, self.n, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.ihfft(self.x, self.n, self.axis, self.norm),
|
|
y,
|
|
rtol=RTOL.get(str(self.x.dtype)),
|
|
atol=ATOL.get(str(self.x.dtype)),
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
('test_n_negative', rand_x(2), -1, -1, 'backward', ValueError),
|
|
('test_n_zero', rand_x(2), 0, -1, 'backward', ValueError),
|
|
('test_axis_out_of_range', rand_x(1), None, 10, 'backward', ValueError),
|
|
(
|
|
'test_axis_with_array',
|
|
rand_x(1),
|
|
None,
|
|
(0, 1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_norm_not_in_enum_value',
|
|
rand_x(2),
|
|
None,
|
|
-1,
|
|
'random',
|
|
ValueError,
|
|
),
|
|
],
|
|
)
|
|
class TestIhfftException(unittest.TestCase):
|
|
def test_static_ihfft(self):
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.ihfft,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
|
|
[
|
|
('test_x_float64', rand_x(5), None, (0, 1), 'backward'),
|
|
(
|
|
'test_n_grater_input_length',
|
|
rand_x(5, max_dim_len=5),
|
|
(11, 11),
|
|
(0, 1),
|
|
'backward',
|
|
),
|
|
(
|
|
'test_n_smaller_than_input_length',
|
|
rand_x(5, min_dim_len=5),
|
|
(1, 1),
|
|
(0, 1),
|
|
'backward',
|
|
),
|
|
('test_axis_random', rand_x(5), None, (1, 2), 'backward'),
|
|
('test_axis_none', rand_x(5), None, None, 'backward'),
|
|
('test_norm_forward', rand_x(5), None, (0, 1), 'forward'),
|
|
('test_norm_ortho', rand_x(5), None, (0, 1), 'ortho'),
|
|
],
|
|
)
|
|
class TestIhfft2(unittest.TestCase):
|
|
def test_static_ihfft2(self):
|
|
with stgraph(
|
|
paddle.fft.ihfft2, self.place, self.x, self.n, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.ihfft2(self.x, self.n, self.axis, self.norm),
|
|
y,
|
|
rtol=RTOL.get(str(self.x.dtype)),
|
|
atol=ATOL.get(str(self.x.dtype)),
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_x_complex_input',
|
|
rand_x(2, complex=True),
|
|
None,
|
|
(0, 1),
|
|
None,
|
|
ValueError,
|
|
),
|
|
# ('test_x_not_tensor', [0, 1], None, (0, 1), None, ValueError),
|
|
('test_x_1dim_tensor', rand_x(1), None, (0, 1), None, ValueError),
|
|
('test_n_negative', rand_x(2), -1, (0, 1), 'backward', ValueError),
|
|
(
|
|
'test_n_len_not_equal_axis',
|
|
rand_x(5, max_dim_len=5),
|
|
11,
|
|
(0, 1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
('test_n_zero', rand_x(2), (0, 0), (0, 1), 'backward', ValueError),
|
|
(
|
|
'test_axis_out_of_range',
|
|
rand_x(2),
|
|
None,
|
|
(0, 1, 2),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_with_array',
|
|
rand_x(1),
|
|
None,
|
|
(0, 1),
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
(
|
|
'test_axis_not_sequence',
|
|
rand_x(5),
|
|
None,
|
|
-10,
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
('test_norm_not_enum', rand_x(2), None, -1, 'random', ValueError),
|
|
],
|
|
)
|
|
class TestIhfft2Exception(unittest.TestCase):
|
|
def test_static_ihfft2(self):
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.ihfft2,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm'),
|
|
[
|
|
('test_x_float64', rand_x(5, np.float64), None, None, 'backward'),
|
|
(
|
|
'test_n_grater_input_length',
|
|
rand_x(5, max_dim_len=5),
|
|
(11, 11),
|
|
(0, 1),
|
|
'backward',
|
|
),
|
|
(
|
|
'test_n_smaller_input_length',
|
|
rand_x(5, min_dim_len=5),
|
|
(1, 1),
|
|
(0, 1),
|
|
'backward',
|
|
),
|
|
('test_axis_not_default', rand_x(5), None, (1, 2), 'backward'),
|
|
('test_norm_forward', rand_x(5), None, None, 'forward'),
|
|
('test_norm_ortho', rand_x(5), None, None, 'ortho'),
|
|
],
|
|
)
|
|
class TestIhfftn(unittest.TestCase):
|
|
def test_static_ihfftn(self):
|
|
with stgraph(
|
|
paddle.fft.ihfftn, self.place, self.x, self.n, self.axis, self.norm
|
|
) as y:
|
|
np.testing.assert_allclose(
|
|
scipy.fft.ihfftn(self.x, self.n, self.axis, self.norm),
|
|
y,
|
|
rtol=RTOL.get(str(self.x.dtype)),
|
|
atol=ATOL.get(str(self.x.dtype)),
|
|
)
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
|
|
[
|
|
(
|
|
'test_x_complex',
|
|
rand_x(4, complex=True),
|
|
None,
|
|
None,
|
|
'backward',
|
|
TypeError,
|
|
),
|
|
('test_n_negative', rand_x(4), -1, None, 'backward', ValueError),
|
|
('test_n_zero', rand_x(4), 0, None, 'backward', ValueError),
|
|
(
|
|
'test_axis_out_of_range',
|
|
rand_x(1),
|
|
None,
|
|
[0, 1],
|
|
'backward',
|
|
ValueError,
|
|
),
|
|
('test_norm_not_in_enum', rand_x(2), None, -1, 'random', ValueError),
|
|
],
|
|
)
|
|
class TestIhfftnException(unittest.TestCase):
|
|
def test_static_ihfftn(self):
|
|
with (
|
|
self.assertRaises(self.expect_exception),
|
|
stgraph(
|
|
paddle.fft.ihfftn,
|
|
self.place,
|
|
self.x,
|
|
self.n,
|
|
self.axis,
|
|
self.norm,
|
|
) as y,
|
|
):
|
|
pass
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'axes', 'dtype'),
|
|
[
|
|
('test_1d', np.random.randn(10), (0,), 'float64'),
|
|
('test_2d', np.random.randn(10, 10), (0, 1), 'float64'),
|
|
('test_2d_with_all_axes', np.random.randn(10, 10), None, 'float64'),
|
|
(
|
|
'test_2d_odd_with_all_axes',
|
|
np.random.randn(5, 5) + 1j * np.random.randn(5, 5),
|
|
None,
|
|
'complex128',
|
|
),
|
|
],
|
|
)
|
|
class TestFftShift(unittest.TestCase):
|
|
def test_fftshift(self):
|
|
"""Test fftshift with norm condition"""
|
|
paddle.enable_static()
|
|
mp, sp = paddle.static.Program(), paddle.static.Program()
|
|
with paddle.static.program_guard(mp, sp):
|
|
input = paddle.static.data(
|
|
'input', self.x.shape, dtype=self.x.dtype
|
|
)
|
|
output = paddle.fft.fftshift(input, self.axes)
|
|
|
|
exe = paddle.static.Executor(self.place)
|
|
exe.run(sp)
|
|
[output] = exe.run(mp, feed={'input': self.x}, fetch_list=[output])
|
|
paddle.disable_static()
|
|
|
|
|
|
@place(DEVICES)
|
|
@parameterize(
|
|
(TEST_CASE_NAME, 'x', 'axes'),
|
|
[
|
|
('test_1d', np.random.randn(10), (0,), 'float64'),
|
|
('test_2d', np.random.randn(10, 10), (0, 1), 'float64'),
|
|
('test_2d_with_all_axes', np.random.randn(10, 10), None, 'float64'),
|
|
(
|
|
'test_2d_odd_with_all_axes',
|
|
np.random.randn(5, 5) + 1j * np.random.randn(5, 5),
|
|
None,
|
|
'complex128',
|
|
),
|
|
],
|
|
)
|
|
class TestIfftShift(unittest.TestCase):
|
|
def test_ifftshift(self):
|
|
"""Test ifftshift with norm condition"""
|
|
paddle.enable_static()
|
|
mp, sp = paddle.static.Program(), paddle.static.Program()
|
|
with paddle.static.program_guard(mp, sp):
|
|
input = paddle.static.data(
|
|
'input', self.x.shape, dtype=self.x.dtype
|
|
)
|
|
output = paddle.fft.ifftshift(input, self.axes)
|
|
|
|
exe = paddle.static.Executor(self.place)
|
|
exe.run(sp)
|
|
[output] = exe.run(mp, feed={'input': self.x}, fetch_list=[output])
|
|
paddle.disable_static()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|