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2026-07-13 12:40:42 +08:00

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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 TestCastApiForSemiAutoParallel(SemiAutoParallelTestBase):
def __init__(self):
super().__init__()
def check_specs_unchanged(self, input, output):
input_placements = input.placements
output_placements = output.placements
assert input_placements == output_placements
def test_cast_shard(self):
x_shape = [16, 32]
x_specs = ['x', None]
inputs, outputs = self.runfunc_and_check(
x_shape,
x_specs,
op_func=paddle.cast,
with_backward=True,
dtype="float64",
)
self.check_specs_unchanged(inputs, outputs)
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_cast_shard()
if __name__ == '__main__':
TestCastApiForSemiAutoParallel().run_test_case()