wehub-resource-sync
150 lines
6.0 KiB
Python
150 lines
6.0 KiB
Python
# Copyright (c) 2018 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 unittest
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import numpy as np
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import paddle
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class ApiOnesTest(unittest.TestCase):
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def test_static_ones(self):
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paddle.enable_static()
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(10, dtype=paddle.float32)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones([10], dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(10, 2, 3, dtype=paddle.float32)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones([10, 2, 3], dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones([10, 2, 3], dtype=paddle.float32)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones([10, 2, 3], dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(size=[10, 2, 3], dtype=paddle.float32)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones([10, 2, 3], dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones([10, 2, 3], paddle.float32)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones([10, 2, 3], dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones([10, 2, 3], paddle.float32)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones([10, 2, 3], dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=[10, 2, 3], dtype=paddle.float32)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones([10, 2, 3], dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=[10])
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones(10, dtype="float32")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=[10], dtype="float64")
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones(10, dtype="float64")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=[10], dtype="int64")
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones(10, dtype="int64")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=10, dtype="int64")
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones(10, dtype="int64")
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np.testing.assert_equal(result, expect)
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with paddle.static.program_guard(paddle.static.Program()):
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ones = paddle.ones(shape=10, dtype=paddle.long)
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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(result,) = exe.run(fetch_list=[ones])
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expect = np.ones(10, dtype="int64")
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np.testing.assert_equal(result, expect)
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paddle.disable_static()
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def test_dygraph_ones(self):
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paddle.disable_static()
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result = paddle.ones(10, dtype=paddle.float32)
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expect = np.ones([10], dtype="float32")
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np.testing.assert_equal(result, expect)
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result = paddle.ones(10, 2, 3, dtype=paddle.float32)
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expect = np.ones([10, 2, 3], dtype="float32")
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np.testing.assert_equal(result, expect)
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result = paddle.ones([10, 2, 3], dtype=paddle.float32)
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np.testing.assert_equal(result, expect)
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result = paddle.ones(size=[10, 2, 3], dtype=paddle.float32)
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np.testing.assert_equal(result, expect)
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result = paddle.ones([10, 2, 3], paddle.float32)
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np.testing.assert_equal(result, expect)
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result = paddle.ones([10, 2, 3], "float32")
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np.testing.assert_equal(result, expect)
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result = paddle.ones(shape=[10, 2, 3], dtype=paddle.float32)
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np.testing.assert_equal(result, expect)
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if __name__ == "__main__":
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unittest.main()
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