forked from huawei/mindspore2022
124 lines
4.4 KiB
Python
124 lines
4.4 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 numpy as np
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import mindspore
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from mindspore import Tensor, nn
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from mindspore.ops import operations as P
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from mindspore.rewrite import SymbolTree, ScopedValue, Node, NodeType, TreeNodeHelper
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from mindspore.common.api import _cell_graph_executor
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class SubNet(nn.Cell):
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def __init__(self):
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super().__init__()
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self.conv = nn.Conv2d(1, 10, 3)
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self.bn = nn.BatchNorm2d(10)
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def construct(self, x):
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x = self.conv(x)
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x = self.bn(x)
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return x
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class MainNet(nn.Cell):
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def __init__(self):
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super(MainNet, self).__init__()
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self.conv1 = SubNet()
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self.conv2 = SubNet()
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self.add = P.Add()
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def construct(self, x):
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x1 = self.conv1(x)
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x2 = self.conv2(x)
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x = self.add(x1, x2)
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return x
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def add_relu_in_conv1(stree: SymbolTree):
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for node in stree.nodes():
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if node.get_node_type() != NodeType.Tree:
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continue
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if node.get_name() == "conv1":
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modify_stree: SymbolTree = TreeNodeHelper.get_sub_tree(node)
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for inner_node in modify_stree.nodes():
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if inner_node.get_node_type() != NodeType.Output:
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continue
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position = modify_stree.before(inner_node)
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new_relu = nn.ReLU()
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new_relu_node = Node.create_call_cell(new_relu, targets=['x'], name='new_relu',
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args=[ScopedValue.create_naming_value('x')])
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modify_stree.insert(position, new_relu_node)
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modify_stree.set_output(0, new_relu_node.get_targets()[0].value)
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break
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break
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def replace_bn_in_conv2(stree: SymbolTree):
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for node in stree.nodes():
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if node.get_node_type() != NodeType.Tree:
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continue
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if node.get_name() == "conv2":
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modify_stree: SymbolTree = TreeNodeHelper.get_sub_tree(node)
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for inner_node in modify_stree.nodes():
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if inner_node.get_instance_type() != nn.BatchNorm2d:
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continue
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new_relu = nn.ReLU()
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new_relu_node = Node.create_call_cell(new_relu, targets=['x'], name='new_relu',
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args=inner_node.get_args(), kwargs=inner_node.get_kwargs())
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modify_stree.replace(inner_node, [new_relu_node])
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break
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break
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def erase_relu_in_conv2(stree: SymbolTree):
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for node in stree.nodes():
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if node.get_node_type() != NodeType.Tree:
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continue
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if node.get_name() == "conv2":
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modify_stree: SymbolTree = TreeNodeHelper.get_sub_tree(node)
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for inner_node in modify_stree.nodes():
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if inner_node.get_instance_type() != nn.ReLU:
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continue
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assert len(inner_node.get_args()) == 1
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arg = inner_node.get_args()[0]
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modify_stree.set_output(0, arg.value)
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modify_stree.erase_node(inner_node)
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break
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break
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def transform(stree: SymbolTree):
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add_relu_in_conv1(stree)
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replace_bn_in_conv2(stree)
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erase_relu_in_conv2(stree)
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def test_subtree_net():
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"""
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Feature: Rewrite package api: sub-tree.
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Description: Use Rewrite to parse and transform a network with sub-network.
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Expectation: Rewrite can parse a network with sub-network and can modify node in sub-network successfully.
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"""
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net = MainNet()
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stree = SymbolTree.create(net)
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transform(stree)
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print(stree.get_code())
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print(stree.get_handler().get_global_vars().keys())
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net_opt = stree.get_network()
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data_in = Tensor(np.ones([1, 1, 32, 32]), mindspore.float32)
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_cell_graph_executor.compile(net_opt, data_in)
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