forked from mindspore-Ecosystem/mindspore
49 lines
1.7 KiB
Python
49 lines
1.7 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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""" test fake quant param ops """
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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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import mindspore.context as context
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from mindspore import Tensor
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from mindspore.nn import Cell
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from mindspore.ops.operations import _quant_ops as Q
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class FakeQuantParamNet(Cell):
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def __init__(self):
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super().__init__()
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self.ops = Q.FakeQuantParam.linear_quant_param(ms.common.dtype.QuantDtype.INT8, 0.1, 1)
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def construct(self, x):
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return self.ops(x)
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@pytest.mark.parametrize('run_mode', [context.GRAPH_MODE, context.PYNATIVE_MODE])
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def test_export(run_mode):
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"""
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Feature: test export and load for FakeQuantParam operation
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Description: construct a network with FakeQuantParam, then export and load this network.
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Expectation: export and load successfully.
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"""
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context.set_context(mode=run_mode)
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net = FakeQuantParamNet()
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data_in = Tensor(np.ones([1, 1, 32, 32]), ms.float32)
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file_name = "./fake_quant_param.mindir"
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ms.export(net, data_in, file_name=file_name, file_format="MINDIR")
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graph = ms.load(file_name)
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ms.nn.GraphCell(graph)
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