forked from huawei/mindspore2022
140 lines
4.4 KiB
Python
140 lines
4.4 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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# ============================================================================
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import numpy as np
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import pytest
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from mindspore import Tensor, context
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from mindspore.nn import Cell
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import mindspore.ops as ops
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from parallel.utils.utils import compile_net
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B = 8
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P = 8
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R = 8
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M = 2
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input_x_2d_ = Tensor(np.random.normal(size=[P, M]).astype(np.float32))
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input_y_2d_ = Tensor(np.random.normal(size=[R, M]).astype(np.float32))
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input_x_3d_ = Tensor(np.random.normal(size=[B, P, M]).astype(np.float32))
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input_y_3d_ = Tensor(np.random.normal(size=[B, R, M]).astype(np.float32))
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class Net(Cell):
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def __init__(self, strategy=None):
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super(Net, self).__init__()
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self.cdist = ops.Cdist().shard(strategy)
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def construct(self, *inputs):
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output = self.cdist(*inputs)
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return output
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def test_cdist_2d_auto_parallel():
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"""
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Feature: test Cdist-2d in parallel
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Description: auto parallel with 2d inputs
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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, input_x_2d_, input_y_2d_)
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def test_cdist_2d_data_parallel():
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"""
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Feature: test Cdist-2d in parallel
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Description: data parallel with 2d inputs
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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 = ((4, 1), (2, 1))
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net = Net(strategy)
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compile_net(net, input_x_2d_, input_y_2d_)
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def test_cdist_2d_data_parallel_with_repeated_cal():
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"""
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Feature: test Cdist-2d in parallel with repeated calculation
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Description: data parallel with 2d inputs
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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 = ((2, 1), (2, 1))
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net = Net(strategy)
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compile_net(net, input_x_2d_, input_y_2d_)
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def test_cdist_2d_strategy_error():
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"""
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Feature: test invalid strategy for Cdist 2d
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Description: illegal strategy with 2d inputs
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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 = ((2, 2), (2, 1))
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net = Net(strategy)
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with pytest.raises(RuntimeError):
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compile_net(net, input_x_2d_, input_y_2d_)
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def test_cdist_3d_auto_parallel():
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"""
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Feature: test Cdist-3d in parallel
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Description: auto parallel with 3d inputs
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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, input_x_3d_, input_y_3d_)
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def test_cdist_3d_data_parallel():
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"""
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Feature: test Cdist-3d in parallel
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Description: data parallel with 3d inputs
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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 = ((2, 2, 1), (2, 2, 1))
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net = Net(strategy)
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compile_net(net, input_x_3d_, input_y_3d_)
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def test_cdist_3d_data_parallel_with_repeated_cal():
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"""
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Feature: test Cdist-3d in parallel with repeated calculation
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Description: data parallel with 3d inputs
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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 = ((2, 2, 1), (2, 1, 1))
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net = Net(strategy)
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compile_net(net, input_x_3d_, input_y_3d_)
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def test_cdist_3d_strategy_error():
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"""
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Feature: test invalid strategy for Cdist 3d
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Description: illegal strategy with 3d inputs
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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 = ((2, 2, 1), (1, 2, 1))
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net = Net(strategy)
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with pytest.raises(RuntimeError):
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compile_net(net, input_x_3d_, input_y_3d_)
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