forked from huawei/mindspore2022
742 lines
29 KiB
Python
742 lines
29 KiB
Python
# Copyright 2021 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 pytest
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import numpy as np
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import mindspore as ms
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import mindspore.context as context
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from mindspore import Tensor
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import mindspore.nn as nn
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from mindspore.common.api import _cell_graph_executor
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from mindspore.nn import TrainOneStepCell, Momentum
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from mindspore.ops.operations.comm_ops import NeighborExchangeV2
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_x1 = Tensor(np.ones([1, 1, 32, 16]), dtype=ms.float32)
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_x2 = Tensor(np.ones([1, 1, 33, 16]), dtype=ms.float32)
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def compile_net(net, x1, x2):
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context.set_context(mode=context.GRAPH_MODE)
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optimizer = Momentum(net.trainable_params(), learning_rate=0.1, momentum=0.9)
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train_net = TrainOneStepCell(net, optimizer)
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train_net.set_train()
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_cell_graph_executor.compile(train_net, x1, x2)
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def test_neighborexchangev2_single_input_success():
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"""
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Feature: NeighborExchangeV2
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Description: one inputs and one outputs, with valid arguments
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Expectation: success
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.linear = nn.Dense(16, 16)
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0], data_format="NCHW")
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def construct(self, x1, x2):
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y = self.linear(x1)
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y = self.neighborexchangev2(y)
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y = y + x2
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return y
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net = Net()
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compile_net(net, _x1, _x2)
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def test_neighborexchangev2_send_lens_equal_to_input_shape_success():
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"""
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Feature: NeighborExchangeV2
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Description: send_lens is equal to input shape
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Expectation: success
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.linear = nn.Dense(16, 16)
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 32, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0], data_format="NCHW")
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def construct(self, x1, x2):
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y = self.linear(x1)
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y = self.neighborexchangev2(y)
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y = y + x2
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return y
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net = Net()
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compile_net(net, _x1, _x2)
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def test_neighborexchangev2_empty_send_success():
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"""
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Feature: NeighborExchangeV2
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Description: empty inputs, with valid arguments
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Expectation: success
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.linear = nn.Dense(16, 16)
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, -1, -1, -1, -1],
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send_lens=[1, 2, 3, 4],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x1, x2):
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y = self.linear(x1)
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y = self.neighborexchangev2(y)
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y = y + x2
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return y
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net = Net()
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compile_net(net, _x1, _x2)
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def test_neighborexchangev2_empty_recv_success():
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"""
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Feature: NeighborExchangeV2
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Description: empty outputs, with valid arguments
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Expectation: success
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.linear = nn.Dense(16, 16)
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, -1, -1, -1, -1],
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recv_lens=[1, 2, 3, 4],
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data_format="NCHW")
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def construct(self, x1, x2):
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y = self.linear(x1)
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y = self.neighborexchangev2(y)
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y = y + x2
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return y
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net = Net()
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compile_net(net, _x1, _x1)
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def test_neighborexchangev2_empty_send_empty_recv_success():
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"""
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Feature: NeighborExchangeV2
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Description: empty inputs and empty outputs, with valid arguments
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Expectation: success
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, -1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, -1, -1, -1, -1],
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recv_lens=[1, 2, 3, 4],
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data_format="NCHW")
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def construct(self, x1):
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y = self.neighborexchangev2(x1)
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return y
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net = Net()
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_invalid_dataformat_failed():
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"""
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Feature: NeighborExchangeV2
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Description: data_format should be NCHW, but gives NHWC
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Expectation: throw ValueError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NHWC")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(ValueError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_invalid_send_rank_ids_size_failed():
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"""
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Feature: NeighborExchangeV2
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Description: send_rank_ids size should be 8, but gives 5
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Expectation: throw ValueError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(ValueError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_invalid_recv_rank_ids_size_failed():
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"""
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Feature: NeighborExchangeV2
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Description: recv_rank_ids size should be 8, but gives 5
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Expectation: throw ValueError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(ValueError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_invalid_send_lens_size_failed():
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"""
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Feature: NeighborExchangeV2
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Description: send_lens size should be 4, but gives 5
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Expectation: throw ValueError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0, 2],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(ValueError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_invalid_recv_lens_size_failed():
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"""
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Feature: NeighborExchangeV2
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Description: recv_lens size should be 4, but gives 5
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Expectation: throw ValueError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0, 2],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(ValueError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_invalid_input_size_failed():
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"""
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Feature: NeighborExchangeV2
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Description: input should be one tensor, but gives 2
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Expectation: throw ValueError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x1, x2):
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out = self.neighborexchangev2(x1, x2)
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return out[0]
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net = Net()
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with pytest.raises(ValueError):
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_cell_graph_executor.compile(net, _x1, _x2)
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def test_neighborexchangev2_recv_rank_ids_invalid_value_failed():
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"""
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Feature: NeighborExchangeV2
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Description: recv_rank_ids should can be concat, recv_rank_ids[3] and [4] is 1, [5] is -1 given
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Expectation: throw Exception
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, 1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(ValueError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_attr_check_send_rank_ids_is_tuple_failed():
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"""
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Feature: NeighborExchangeV2
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Description: send_rank_ids should be list, but a tuple is given
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Expectation: throw TypeError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=(-1, -1, -1, -1, 1, -1, -1, -1),
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(TypeError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_attr_check_send_lens_is_tuple_failed():
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"""
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Feature: NeighborExchangeV2
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Description: send_lens should be list, but a tuple is given
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Expectation: throw TypeError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=(0, 1, 0, 0),
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(TypeError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_attr_check_recv_rank_ids_is_tuple_failed():
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"""
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Feature: NeighborExchangeV2
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Description: recv_rank_ids should be list, but a tuple is given
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Expectation: throw TypeError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=(-1, -1, -1, -1, 1, -1, -1, -1),
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recv_lens=[0, 1, 0, 0],
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(TypeError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_attr_check_recv_lens_is_tuple_failed():
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"""
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Feature: NeighborExchangeV2
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Description: recv_lens should be list, but a tuple is given
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Expectation: throw TypeError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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send_lens=[0, 1, 0, 0],
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recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
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recv_lens=(0, 1, 0, 0),
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data_format="NCHW")
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def construct(self, x):
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out = self.neighborexchangev2(x)
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return out[0]
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net = Net()
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with pytest.raises(TypeError):
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_cell_graph_executor.compile(net, _x1)
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def test_neighborexchangev2_attr_check_send_rank_ids_is_float_failed():
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"""
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Feature: NeighborExchangeV2
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Description: send_rank_ids should be int, but float is given
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Expectation: throw TypeError
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"""
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context.set_auto_parallel_context(device_num=8, global_rank=0)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1.0, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(TypeError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_attr_check_send_lens_is_float_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: send_lens should be int, but float is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1.0, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(TypeError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_attr_check_recv_rank_ids_is_float_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: send_rank_ids should be int, but float is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1.0, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(TypeError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_attr_check_recv_lens_is_float_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: ids in send_rank_ids should be int, but float is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1.0, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(TypeError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_group_is_tuple_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: group should be a string, but tuple given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW", group=("str",))
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(TypeError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_send_lens_larger_than_input_shape_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: send_lens should be <= input_shape, but a larger one given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 35, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_send_rank_ids_value_invalid_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: send_rank_ids should be >=0 or -1, but -3 is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -3, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_recv_rank_ids_value_invalid_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: recv_rank_ids should be >=0 or -1, but -3 is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -3, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_send_lens_value_invalid_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: send_lens should be >=0, but -3 is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, -3, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_recv_lens_value_invalid_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: recv_lens should be >=0, but -3 is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, -3, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_send_rank_ids_repeat_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: send_rank_ids cannot be repeated, but two 1 is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
_cell_graph_executor.compile(net, _x1)
|
|
|
|
def test_neighborexchangev2_recv_rank_ids_repeat_failed():
|
|
"""
|
|
Feature: NeighborExchangeV2
|
|
Description: recv_rank_ids cannot be repeated, but two 1 is given
|
|
Expectation: throw TypeError
|
|
"""
|
|
context.set_auto_parallel_context(device_num=8, global_rank=0)
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.neighborexchangev2 = NeighborExchangeV2(send_rank_ids=[-1, -1, -1, -1, 1, -1, -1, -1],
|
|
send_lens=[0, 1, 0, 0],
|
|
recv_rank_ids=[1, -1, -1, -1, 1, -1, -1, -1],
|
|
recv_lens=[0, 1, 0, 0],
|
|
data_format="NCHW")
|
|
|
|
def construct(self, x):
|
|
out = self.neighborexchangev2(x)
|
|
return out[0]
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
_cell_graph_executor.compile(net, _x1)
|