forked from huawei/mindspore2022
84 lines
2.6 KiB
Python
84 lines
2.6 KiB
Python
# Copyright 2022 Huawei Technologies Co., Ltd
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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 numpy as np
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import pytest
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import mindspore as ms
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from mindspore import context, Tensor
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from mindspore.common.api import _cell_graph_executor
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from mindspore.nn import Cell
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from mindspore.ops import operations as P
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_anchor_box = Tensor(np.ones([32, 4]), ms.float32)
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_gt_boxes = Tensor(np.ones([32, 4]), ms.float32)
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class Net(Cell):
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"""
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Create the test net.
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"""
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def __init__(self, strategy=None):
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super(Net, self).__init__()
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self.bbox_encode = P.BoundingBoxEncode().shard(strategy)
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def construct(self, anchor_boxes, gt_boxes):
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x = self.bbox_encode(anchor_boxes, gt_boxes)
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return x
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def compile_net(net: Cell, *inputs):
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net.set_auto_parallel()
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net.set_train()
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_cell_graph_executor.compile(net, *inputs)
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context.reset_auto_parallel_context()
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def test_bounding_box_encode_data_parallel():
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"""
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Feature: test BoundingBoxEncode data parallel strategy
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Description: only shard the batch dimension
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Expectation: compile success
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"""
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context.set_auto_parallel_context(parallel_mode="semi_auto_parallel", device_num=8, global_rank=0)
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strategy = ((8, 1), (8, 1))
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net = Net(strategy)
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compile_net(net, _anchor_box, _gt_boxes)
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def test_bounding_box_encode_auto_parallel():
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"""
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Feature: test BoundingBoxEncode auto parallel
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Description: auto parallel
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Expectation: compile success
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"""
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context.set_auto_parallel_context(parallel_mode="auto_parallel", device_num=8, global_rank=0)
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net = Net()
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compile_net(net, _anchor_box, _gt_boxes)
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def test_bounding_box_encode_strategy_error():
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"""
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Feature: test BoundingBoxEncode with illegal strategy
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Description: illegal strategy
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Expectation: raise RuntimeError
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"""
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context.set_auto_parallel_context(parallel_mode="semi_auto_parallel", device_num=8, global_rank=0)
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strategy = ((8, 1), (4, 1))
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net = Net(strategy)
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with pytest.raises(RuntimeError):
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compile_net(net, _anchor_box, _gt_boxes)
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context.reset_auto_parallel_context()
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