forked from huawei/mindspore2022
65 lines
2.0 KiB
Python
65 lines
2.0 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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# ============================================================================
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import ast
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import inspect
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from mindspore.nn import Cell, Conv2d, BatchNorm2d, ReLU
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from mindspore.rewrite.ast_transformers.flatten_recursive_stmt import FlattenRecursiveStmt
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class Network(Cell):
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def __init__(self):
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super().__init__()
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self.conv = Conv2d(16, 16, 3)
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self.bn = BatchNorm2d(16)
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self.relu1 = ReLU()
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self.relu2 = ReLU()
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self.relu3 = ReLU()
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def construct(self, x):
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x = self.conv(x + 1)
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x = x + 1 * 5 + 4 / 2 + self.bn(x)
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self.relu1(x * 5)
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x = self.relu2(x + 1)
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x = True and x or x
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x = self.relu3(x)
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return x + 3
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def _get_ast():
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source = inspect.getsource(Network)
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return ast.parse(source)
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def test_flatten():
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"""
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Feature: Class FlattenRecursiveStmt.
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Description: Apply FlattenRecursiveStmt on a simple network.
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Expectation: Success.
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"""
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ast_node = _get_ast()
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frs = FlattenRecursiveStmt()
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frs.transform(ast_node)
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assert len(ast_node.body) == 1
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ast_class = ast_node.body[0]
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assert isinstance(ast_class, ast.ClassDef)
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assert len(ast_class.body) == 2
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ast_init_func = ast_class.body[0]
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assert isinstance(ast_init_func, ast.FunctionDef)
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assert len(ast_init_func.body) == 6
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ast_construct_func = ast_class.body[1]
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assert isinstance(ast_construct_func, ast.FunctionDef)
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assert len(ast_construct_func.body) == 17
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