wehub-resource-sync
129 lines
4.2 KiB
Python
129 lines
4.2 KiB
Python
# Copyright (c) 2022 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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from op_test import get_device_place
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import paddle
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from paddle import _C_ops, base, zeros_like
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from paddle.base import Program, program_guard
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from paddle.base.framework import convert_nptype_to_datatype_or_vartype
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class TestZerosLikeAPI(unittest.TestCase):
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def test_api(self):
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shape = [3, 4]
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startup_program = Program()
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train_program = Program()
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with program_guard(train_program, startup_program):
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x = paddle.static.data('X', shape)
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out1 = zeros_like(x)
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out2 = zeros_like(x, np.bool_)
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out3 = zeros_like(x, 'float64')
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out4 = zeros_like(x, 'int32')
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out5 = zeros_like(x, 'int64')
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place = get_device_place()
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exe = base.Executor(place)
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outs = exe.run(
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train_program,
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feed={'X': np.ones(shape).astype('float32')},
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fetch_list=[out1, out2, out3, out4, out5],
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)
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for i, dtype in enumerate(
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[np.float32, np.bool_, np.float64, np.int32, np.int64]
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):
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self.assertEqual(outs[i].dtype, dtype)
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self.assertEqual((outs[i] == np.zeros(shape, dtype)).all(), True)
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class TestZerosLikeImperative(unittest.TestCase):
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def test_out(self):
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shape = [3, 4]
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place = get_device_place()
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paddle.disable_static(place)
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x = paddle.to_tensor(np.ones(shape))
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for dtype in [np.bool_, np.float32, np.float64, np.int32, np.int64]:
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out = zeros_like(x, dtype)
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self.assertEqual(
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(out.numpy() == np.zeros(shape, dtype)).all(), True
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)
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out = paddle.zeros_like(x)
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self.assertEqual((out.numpy() == np.zeros(shape, dtype)).all(), True)
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out = paddle.tensor.creation.zeros_like(x)
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self.assertEqual((out.numpy() == np.zeros(shape, dtype)).all(), True)
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paddle.enable_static()
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class TestZerosAPI(unittest.TestCase):
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def test_api(self):
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shape = [3, 4]
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place = get_device_place()
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paddle.disable_static(place)
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for dtype in [np.float32, np.float64, np.int32, np.int64]:
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out = _C_ops.zeros(
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shape, convert_nptype_to_datatype_or_vartype(dtype), place
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)
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self.assertEqual(
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(out.numpy() == np.zeros(shape, dtype)).all(), True
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)
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paddle.enable_static()
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class TestZerosLikeAlias(unittest.TestCase):
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def setUp(self):
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paddle.disable_static()
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def test_check_output(self):
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"""
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Test the alias of zeros_like function.
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``zeros_like(input=x)`` is equivalent to ``zeros_like(x=x)``
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"""
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shape_cases = [
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[2],
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[2, 4],
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[2, 4, 8],
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]
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dtype_cases = [
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None,
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"float32",
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"float64",
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"int32",
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"int64",
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"bool",
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]
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for shape in shape_cases:
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for dtype in dtype_cases:
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x = paddle.rand(shape)
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for param_alias in ["x", "input"]:
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if dtype is None:
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out = paddle.zeros_like(**{param_alias: x})
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expected = np.zeros_like(x.numpy())
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else:
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out = paddle.zeros_like(**{param_alias: x}, dtype=dtype)
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expected = np.zeros_like(x.numpy(), dtype=dtype)
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if dtype == "bool":
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np.testing.assert_array_equal(out.numpy(), expected)
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else:
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np.testing.assert_allclose(out.numpy(), expected)
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if __name__ == '__main__':
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unittest.main()
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