wehub-resource-sync
124 lines
4.4 KiB
Python
124 lines
4.4 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
import unittest
|
|
|
|
import numpy as np
|
|
from op_test import get_device_place, is_custom_device
|
|
|
|
import paddle
|
|
from paddle.static import Program
|
|
|
|
|
|
class TestDiagFlatAPI(unittest.TestCase):
|
|
def setUp(self):
|
|
self.input_np = np.random.random(size=(10, 10)).astype(np.float64)
|
|
self.expected0 = np.diagflat(self.input_np)
|
|
self.expected1 = np.diagflat(self.input_np, k=1)
|
|
self.expected2 = np.diagflat(self.input_np, k=-1)
|
|
|
|
self.input_np2 = np.random.random(size=(20)).astype(np.float64)
|
|
self.expected3 = np.diagflat(self.input_np2)
|
|
self.expected4 = np.diagflat(self.input_np2, k=1)
|
|
self.expected5 = np.diagflat(self.input_np2, k=-1)
|
|
|
|
def run_imperative(self):
|
|
x = paddle.to_tensor(self.input_np)
|
|
y = paddle.diagflat(x)
|
|
np.testing.assert_allclose(y.numpy(), self.expected0, rtol=1e-05)
|
|
|
|
y = paddle.diagflat(x, offset=1)
|
|
np.testing.assert_allclose(y.numpy(), self.expected1, rtol=1e-05)
|
|
|
|
y = paddle.diagflat(x, offset=-1)
|
|
np.testing.assert_allclose(y.numpy(), self.expected2, rtol=1e-05)
|
|
|
|
x = paddle.to_tensor(self.input_np2)
|
|
y = paddle.diagflat(x)
|
|
np.testing.assert_allclose(y.numpy(), self.expected3, rtol=1e-05)
|
|
|
|
y = paddle.diagflat(x, offset=1)
|
|
np.testing.assert_allclose(y.numpy(), self.expected4, rtol=1e-05)
|
|
|
|
y = paddle.diagflat(x, offset=-1)
|
|
np.testing.assert_allclose(y.numpy(), self.expected5, rtol=1e-05)
|
|
|
|
def run_static(self, use_gpu=False):
|
|
main = paddle.static.Program()
|
|
startup = paddle.static.Program()
|
|
with paddle.static.program_guard(main, startup):
|
|
x = paddle.static.data(
|
|
name='input', shape=[10, 10], dtype='float64'
|
|
)
|
|
x2 = paddle.static.data(name='input2', shape=[20], dtype='float64')
|
|
result0 = paddle.diagflat(x)
|
|
result3 = paddle.diagflat(x2)
|
|
|
|
place = get_device_place() if use_gpu else paddle.CPUPlace()
|
|
exe = paddle.static.Executor(place)
|
|
exe.run(startup)
|
|
res0, res3 = exe.run(
|
|
main,
|
|
feed={"input": self.input_np, 'input2': self.input_np2},
|
|
fetch_list=[result0, result3],
|
|
)
|
|
|
|
np.testing.assert_allclose(res0, self.expected0, rtol=1e-05)
|
|
np.testing.assert_allclose(res3, self.expected3, rtol=1e-05)
|
|
|
|
def test_cpu(self):
|
|
paddle.disable_static(place=paddle.CPUPlace())
|
|
self.run_imperative()
|
|
paddle.enable_static()
|
|
|
|
with paddle.static.program_guard(Program()):
|
|
self.run_static()
|
|
|
|
def test_gpu(self):
|
|
if not (paddle.is_compiled_with_cuda() or is_custom_device()):
|
|
return
|
|
|
|
paddle.disable_static(place=get_device_place())
|
|
self.run_imperative()
|
|
paddle.enable_static()
|
|
|
|
with paddle.static.program_guard(Program()):
|
|
self.run_static(use_gpu=True)
|
|
|
|
def test_fp16_with_gpu(self, use_gpu=False):
|
|
if paddle.base.core.is_compiled_with_cuda() or is_custom_device():
|
|
place = get_device_place()
|
|
with paddle.static.program_guard(
|
|
paddle.static.Program(), paddle.static.Program()
|
|
):
|
|
input = np.random.random([10, 10]).astype("float16")
|
|
x = paddle.static.data(
|
|
name="x", shape=[10, 10], dtype="float16"
|
|
)
|
|
|
|
y = paddle.diagflat(x)
|
|
expected = np.diagflat(input)
|
|
|
|
exe = paddle.static.Executor(place)
|
|
res = exe.run(
|
|
paddle.static.default_main_program(),
|
|
feed={
|
|
"x": input,
|
|
},
|
|
fetch_list=[y],
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|