wehub-resource-sync
192 lines
6.8 KiB
Python
192 lines
6.8 KiB
Python
# Copyright (c) 2023 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_places, is_custom_device
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import paddle
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from paddle.base import core
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def ref_np_signbit(x: np.ndarray):
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return np.signbit(x)
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class TestSignbitAPI(unittest.TestCase):
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def setUp(self) -> None:
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self.cuda_support_dtypes = [
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'float32',
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'float64',
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'uint8',
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'int8',
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'int16',
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'int32',
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'int64',
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]
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self.cpu_support_dtypes = [
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'float32',
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'float64',
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'uint8',
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'int8',
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'int16',
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'int32',
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'int64',
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]
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self.place = get_places()
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def test_dtype(self):
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def run(place):
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paddle.disable_static(place)
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if core.is_compiled_with_cuda() or is_custom_device():
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support_dtypes = self.cuda_support_dtypes
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else:
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support_dtypes = self.cpu_support_dtypes
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for dtype in support_dtypes:
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x = paddle.to_tensor(
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np.random.randint(-10, 10, size=[12, 20, 2]).astype(dtype)
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)
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paddle.signbit(x)
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for place in self.place:
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run(place)
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def test_float(self):
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def run(place):
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paddle.disable_static(place)
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if core.is_compiled_with_cuda() or is_custom_device():
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support_dtypes = self.cuda_support_dtypes
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else:
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support_dtypes = self.cpu_support_dtypes
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for dtype in support_dtypes:
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np_x = np.random.randint(-10, 10, size=[12, 20, 2]).astype(
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dtype
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)
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x = paddle.to_tensor(np_x)
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out = paddle.signbit(x)
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np_out = out.numpy()
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out_expected = ref_np_signbit(np_x)
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np.testing.assert_allclose(np_out, out_expected, rtol=1e-05)
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for place in self.place:
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run(place)
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def test_input_type(self):
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with self.assertRaises(TypeError):
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x = np.random.randint(-10, 10, size=[12, 20, 2]).astype('float32')
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x = paddle.signbit(x)
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def test_Tensor_dtype(self):
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def run(place):
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paddle.disable_static(place)
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if core.is_compiled_with_cuda() or is_custom_device():
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support_dtypes = self.cuda_support_dtypes
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else:
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support_dtypes = self.cpu_support_dtypes
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for dtype in support_dtypes:
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x = paddle.to_tensor(
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np.random.randint(-10, 10, size=[12, 20, 2]).astype(dtype)
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)
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x.signbit()
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for place in self.place:
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run(place)
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def test_static(self):
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np_input1 = np.random.uniform(-10, 10, (12, 10)).astype("int8")
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np_input2 = np.random.uniform(-10, 10, (12, 10)).astype("uint8")
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np_input3 = np.random.uniform(-10, 10, (12, 10)).astype("int16")
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np_input4 = np.random.uniform(-10, 10, (12, 10)).astype("int32")
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np_input5 = np.random.uniform(-10, 10, (12, 10)).astype("int64")
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np_input6 = np.array([-0.0, 0.0]).astype("float32")
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np_input7 = np.array([-0.0, 0.0]).astype("float64")
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np_out1 = np.signbit(np_input1)
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np_out2 = np.signbit(np_input2)
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np_out3 = np.signbit(np_input3)
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np_out4 = np.signbit(np_input4)
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np_out5 = np.signbit(np_input5)
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np_out6 = np.signbit(np_input6)
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np_out7 = np.signbit(np_input7)
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paddle.enable_static()
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def run(place):
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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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# The input type of sign_op must be Variable or numpy.ndarray.
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input1 = 12
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self.assertRaises(TypeError, paddle.tensor.math.sign, input1)
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# The result of sign_op must correct.
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input1 = paddle.static.data(
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name='input1', shape=[12, 10], dtype="int8"
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)
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input2 = paddle.static.data(
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name='input2', shape=[12, 10], dtype="uint8"
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)
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input3 = paddle.static.data(
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name='input3', shape=[12, 10], dtype="int16"
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)
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input4 = paddle.static.data(
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name='input4', shape=[12, 10], dtype="int32"
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)
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input5 = paddle.static.data(
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name='input5', shape=[12, 10], dtype="int64"
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)
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input6 = paddle.static.data(
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name='input6', shape=[2], dtype="float32"
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)
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input7 = paddle.static.data(
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name='input7', shape=[2], dtype="float64"
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)
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out1 = paddle.signbit(input1)
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out2 = paddle.signbit(input2)
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out3 = paddle.signbit(input3)
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out4 = paddle.signbit(input4)
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out5 = paddle.signbit(input5)
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out6 = paddle.signbit(input6)
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out7 = paddle.signbit(input7)
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exe = paddle.static.Executor(place)
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res1, res2, res3, res4, res5, res6, res7 = exe.run(
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paddle.static.default_main_program(),
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feed={
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"input1": np_input1,
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"input2": np_input2,
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"input3": np_input3,
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"input4": np_input4,
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"input5": np_input5,
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"input6": np_input6,
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"input7": np_input7,
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},
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fetch_list=[out1, out2, out3, out4, out5, out6, out7],
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)
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self.assertEqual((res1 == np_out1).all(), True)
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self.assertEqual((res2 == np_out2).all(), True)
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self.assertEqual((res3 == np_out3).all(), True)
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self.assertEqual((res4 == np_out4).all(), True)
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self.assertEqual((res5 == np_out5).all(), True)
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self.assertEqual((res6 == np_out6).all(), True)
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self.assertEqual((res7 == np_out7).all(), True)
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for place in self.place:
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run(place)
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if __name__ == "__main__":
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unittest.main()
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