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- # Copyright 2022 Huawei Technologies Co., Ltd
- #
- # 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 numpy as np
- import pytest
-
- import mindspore as ms
- from mindspore import context, Tensor
- from mindspore.common.api import _cell_graph_executor
- from mindspore.nn import Cell
- from mindspore.ops import operations as P
-
-
- _anchor_box = Tensor(np.ones([32, 4]), ms.float32)
- _gt_boxes = Tensor(np.ones([32, 4]), ms.float32)
-
-
- class Net(Cell):
- """
- Create the test net.
- """
- def __init__(self, strategy=None):
- super(Net, self).__init__()
- self.bbox_encode = P.BoundingBoxEncode().shard(strategy)
-
- def construct(self, anchor_boxes, gt_boxes):
- x = self.bbox_encode(anchor_boxes, gt_boxes)
- return x
-
-
- def compile_net(net: Cell, *inputs):
- net.set_auto_parallel()
- net.set_train()
- _cell_graph_executor.compile(net, *inputs)
- context.reset_auto_parallel_context()
-
-
- def test_bounding_box_encode_data_parallel():
- """
- Feature: test BoundingBoxEncode data parallel strategy
- Description: only shard the batch dimension
- Expectation: compile success
- """
- context.set_auto_parallel_context(parallel_mode="semi_auto_parallel", device_num=8, global_rank=0)
- strategy = ((8, 1), (8, 1))
- net = Net(strategy)
- compile_net(net, _anchor_box, _gt_boxes)
-
-
- def test_bounding_box_encode_auto_parallel():
- """
- Feature: test BoundingBoxEncode auto parallel
- Description: auto parallel
- Expectation: compile success
- """
- context.set_auto_parallel_context(parallel_mode="auto_parallel", device_num=8, global_rank=0)
- net = Net()
- compile_net(net, _anchor_box, _gt_boxes)
-
-
- def test_bounding_box_encode_strategy_error():
- """
- Feature: test BoundingBoxEncode with illegal strategy
- Description: illegal strategy
- Expectation: raise RuntimeError
- """
- context.set_auto_parallel_context(parallel_mode="semi_auto_parallel", device_num=8, global_rank=0)
- strategy = ((8, 1), (4, 1))
- net = Net(strategy)
- with pytest.raises(RuntimeError):
- compile_net(net, _anchor_box, _gt_boxes)
- context.reset_auto_parallel_context()
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