forked from huawei/mindspore2022
128 lines
4.2 KiB
Python
128 lines
4.2 KiB
Python
# Copyright 2020 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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import mindspore as ms
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from mindspore import nn, context, Tensor
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import mindspore.ops as ops
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def set_context():
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context.set_context(mode=context.PYNATIVE_MODE)
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context.reset_auto_parallel_context()
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context.set_auto_parallel_context(device_num=8, parallel_mode="auto_parallel", search_mode="sharding_propagation")
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class NetMul(nn.Cell):
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def __init__(self):
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super().__init__()
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self.mul = ops.Mul()
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def construct(self, x, y):
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return self.mul(x, y)
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class NetMatMul(nn.Cell):
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def __init__(self):
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super().__init__()
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self.matmul = ops.MatMul()
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def construct(self, x, y):
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return self.matmul(x, y)
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class Net(nn.Cell):
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def __init__(self, in_axes, out_axes):
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super().__init__()
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self.mul_net = NetMul()
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self.matmul_net = NetMatMul()
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self.mul_net.shard(in_axes=in_axes, out_axes=out_axes)
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def construct(self, x, y):
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out1 = self.matmul_net(x, y)
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out2 = self.matmul_net(x, y)
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return self.mul_net(out1, out2)
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def cell_shard_execution(in_axes, out_axes, error_log):
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net = Net(in_axes, out_axes)
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x = Tensor(np.ones([128, 128]), dtype=ms.float32)
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y = Tensor(np.ones([128, 128]), dtype=ms.float32)
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with pytest.raises(Exception) as err:
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_ = net(x, y)
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assert error_log in str(err.value)
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def test_in_axes_numbers_check():
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"""
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Feature: shard function for cell
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Description: inconsistent input number and in_axes number
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Expectation: throw an exception indicating inconsistent input number and in_axes number
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"""
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set_context()
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in_axes = ((8, 1), None, (1, 8))
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out_axes = (None,)
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error_log = "Input numbers: 2 is not equal to in_axes numbers: 3"
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cell_shard_execution(in_axes, out_axes, error_log)
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def test_out_axes_numbers_check():
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"""
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Feature: shard function for cell
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Description: inconsistent output number and out_axes number
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Expectation: throw an exception indicating inconsistent output number and out_axes number
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"""
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set_context()
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in_axes = ((8, 1), None)
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out_axes = (None, (8, 1))
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error_log = "Output number: 1 is not equal to out_axes number: 2"
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cell_shard_execution(in_axes, out_axes, error_log)
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def test_in_axes_dimension_check():
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"""
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Feature: shard function for cell
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Description: inconsistent input dimension and in_axes dimension
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Expectation: throw an exception indicating inconsistent input_dimension and in_axes dimension
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"""
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set_context()
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in_axes = ((8, 1, 1), None)
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out_axes = (None, (8, 1))
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error_log = "Input dimension: 2 is not equal to in_axes dimension: 3 at index 0"
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cell_shard_execution(in_axes, out_axes, error_log)
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def test_out_axes_dimension_check():
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"""
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Feature: shard function for cell
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Description: inconsistent output dimension and out_axes dimension
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Expectation: throw an exception indicating inconsistent output_dimension and out_axes dimension
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"""
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set_context()
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in_axes = ((8, 1), None)
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out_axes = ((8,),)
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error_log = "Output dimension: 2 is not equal to out_axes dimension: 1 at index 0"
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cell_shard_execution(in_axes, out_axes, error_log)
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def test_in_axes_format_check():
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"""
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Feature: shard function for cell
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Description: unsupported in_axes format
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Expectation: throw an exception indicating an supported in_axes format
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"""
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set_context()
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in_axes = ([8, 1], None)
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out_axes = (None,)
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error_log = "in_axes should be a two-dimension tuple"
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cell_shard_execution(in_axes, out_axes, error_log)
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