wehub-resource-sync
108 lines
3.3 KiB
Python
108 lines
3.3 KiB
Python
# Copyright (c) 2020 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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from op_test import get_device, get_device_place, is_custom_device
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import paddle
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paddle.enable_static()
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def execute(main_program, startup_program):
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if paddle.is_compiled_with_cuda() or is_custom_device():
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place = get_device_place()
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else:
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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exe.run(startup_program)
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exe.run(main_program)
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def get_valid_warning_num(warning, w):
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num = 0
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for i in range(len(w)):
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if warning in str(w[i].message):
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num += 1
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return num
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class TestDeviceGuard(unittest.TestCase):
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def test_cpu_only_op(self):
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main_program = paddle.static.Program()
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startup_program = paddle.static.Program()
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with paddle.static.program_guard(main_program, startup_program):
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x = paddle.full(
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shape=[2, 255, 13, 13], fill_value=0.3, dtype='float32'
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)
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gt_box = paddle.full(
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shape=[2, 6, 4], fill_value=0.5, dtype='float32'
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)
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gt_label = paddle.full(shape=[2, 6], fill_value=1.0, dtype='int32')
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gt_score = paddle.full(
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shape=[2, 6], fill_value=0.5, dtype='float32'
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)
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anchors = [
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10,
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13,
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16,
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30,
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33,
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23,
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30,
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61,
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62,
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45,
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59,
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119,
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116,
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90,
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156,
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198,
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373,
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326,
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]
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anchor_mask = [0, 1, 2]
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with paddle.static.device_guard(get_device()):
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# yolo_loss only has cpu kernel, so its cpu kernel will be executed
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loss = paddle.vision.ops.yolo_loss(
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x=x,
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gt_box=gt_box,
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gt_label=gt_label,
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gt_score=gt_score,
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anchors=anchors,
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anchor_mask=anchor_mask,
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class_num=80,
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ignore_thresh=0.7,
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downsample_ratio=32,
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)
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execute(main_program, startup_program)
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def test_error(self):
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def device_attr():
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with paddle.static.device_guard("cpu1"):
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out = paddle.full(shape=[1], fill_value=0.2, dtype='float32')
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def device_attr2():
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with paddle.static.device_guard("cpu:1"):
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out = paddle.full(shape=[1], fill_value=0.2, dtype='float32')
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self.assertRaises(ValueError, device_attr)
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self.assertRaises(ValueError, device_attr2)
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if __name__ == '__main__':
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unittest.main()
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