forked from huawei/mindspore2022
95 lines
3.0 KiB
Python
95 lines
3.0 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.common.dtype as mstype
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from mindspore import Tensor, context
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from mindspore.nn import Cell
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from mindspore.ops import operations as P
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from parallel.utils.utils import ParallelValidator, compile_net
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SEED_ = 1
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SEED2_ = 1
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alpha_ = Tensor(np.array([1.0]), mstype.float32)
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beta_ = Tensor(np.array([1.0]), mstype.float32)
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class Net(Cell):
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def __init__(self, seed, seed2, strategy=None):
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super(Net, self).__init__()
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self.gamma = P.Gamma(seed, seed2).shard(strategy)
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def construct(self, shape, alpha, beta):
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out = self.gamma(shape, alpha, beta)
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return out
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def test_gamma_auto_parallel():
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"""
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Features: test Gamma 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, full_batch=True)
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net = Net(SEED_, SEED2_)
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shape = (4, 4, 4)
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compile_net(net, shape, alpha_, beta_)
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def test_gamma_data_parallel():
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"""
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Features: test Gamma data parallel
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Description: data parallel
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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=1)
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net = Net(SEED_, SEED2_)
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shape = (8, 8)
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phase = compile_net(net, shape, alpha_, beta_)
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validator = ParallelValidator(net, phase)
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assert validator.check_node_attrs("Gamma-0", {"seed": 2, "seed2": 2})
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def test_gamma_model_parallel():
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"""
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Features: test Gamma model parallel
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Description: model parallel
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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=5)
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shape = (8, 8)
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strategy = ((2, 2), (1,), (1,))
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net = Net(SEED_, SEED2_, strategy)
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phase = compile_net(net, shape, alpha_, beta_)
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validator = ParallelValidator(net, phase)
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assert validator.check_node_attrs("Gamma-0", {"seed": 3, "seed2": 3})
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def test_gamma_strategy_error():
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"""
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Features:test Gamma strategy error
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Description: invalid 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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shape = (8, 8)
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strategy = ((2, 2), (2,), (1,))
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net = Net(SEED_, SEED2_, strategy)
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with pytest.raises(RuntimeError):
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compile_net(net, shape, alpha_, beta_)
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