wehub-resource-sync
55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
# Copyright (c) 2023 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.
|
|
|
|
|
|
from semi_auto_parallel_util import SemiAutoParallelTestBase
|
|
|
|
import paddle
|
|
import paddle.distributed as dist
|
|
|
|
|
|
class TestConv2dApiForSemiAutoParallel(SemiAutoParallelTestBase):
|
|
def __init__(self):
|
|
super().__init__()
|
|
|
|
def check_placements(self, output, expected_placements):
|
|
assert output.placements == expected_placements, (
|
|
f"{output.placements} vs {expected_placements}"
|
|
)
|
|
|
|
def test_conv2d_shard(self):
|
|
shapes = ([8, 3, 8, 8], [6, 3, 3, 3], [6])
|
|
specs = (['x', None, None], [None], [None])
|
|
inputs, outputs = self.runfunc_and_check(
|
|
inputs_shape=shapes,
|
|
inputs_specs=specs,
|
|
op_func=paddle.nn.functional.conv2d,
|
|
with_backward=True,
|
|
)
|
|
self.check_placements(outputs, [dist.Shard(0)])
|
|
|
|
def run_test_case(self):
|
|
if self._backend == "cpu":
|
|
paddle.set_device("cpu")
|
|
elif self._backend == "gpu":
|
|
paddle.set_device("gpu:" + str(dist.get_rank()))
|
|
else:
|
|
raise ValueError("Only support cpu or gpu backend.")
|
|
|
|
self.test_conv2d_shard()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
TestConv2dApiForSemiAutoParallel().run_test_case()
|