# Copyright 2022 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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# ============================================================================
"""Rewrite module api: Node."""
from typing import Union, Optional, List, Dict
from types import FunctionType
from mindspore.nn import Cell
from mindspore.ops.primitive import Primitive
from mindspore import _checkparam as Validator
from ..node.node import Node as NodeImpl
from ..symbol_tree import SymbolTree as SymbolTreeImpl
from .node_type import NodeType
from .scoped_value import ScopedValue
[文档]class Node:
"""
A node is a data structure that expresses source code statements in a network.
Each node usually corresponds to a statement in expanded forward evaluation process.
Nodes can express a ``Cell`` call statement, a ``Primitive`` call statement, an arithmetic operation statement, a
return statements, etc. of the forward calculation process.
Args:
node (NodeImpl): A handler of `NodeImpl`. It is recommended to call the specific methods in Node to create
a Node, such as 'create_call_cell', rather than calling the Node's constructor directly.
Don't care what `NodeImpl` is, just treat it as a handle.
"""
def __init__(self, node: NodeImpl):
self._node = node
def __eq__(self, other: 'Node'):
if not isinstance(other, Node):
return False
return self._node == other._node
[文档] @staticmethod
def create_call_cell(cell: Cell, targets: List[Union[ScopedValue, str]], args: List[ScopedValue] = None,
kwargs: Dict[str, ScopedValue] = None, name: str = "", is_sub_net: bool = False) -> 'Node':
"""
Create a node. Only support create from a `Cell` now.
A node is corresponding to source code like:
.. code-block::
`targets` = self.`name`(*`args`, **`kwargs`)
Args:
cell (Cell): Cell-operator of this forward-layer.
targets (List[Union[ScopedValue, str]]): Indicate output names. Used as targets of an assign statement in
source code.
args (List[ScopedValue]): Indicate input names. Used as args of a call expression of an assign statement in
source code. Default: ``None`` , which indicates the `cell` has no args inputs.
kwargs (Dict[str, ScopedValue]): Type of key must be `str` and type of value must be `ScopedValue`.
Indicate keyword input names. Used as kwargs of a call expression of an assign statement in source
code. Default: ``None`` , which indicates the `cell` has no kwargs inputs.
name (str): Indicate the name of node. Used as field name in source code. Default is None. Rewrite will
generate name from `cell` when name is None. Rewrite will check and ensure the uniqueness of `name`
while node being inserted. Default: ``""`` .
is_sub_net (bool): Indicate that is `cell` a network. If `is_sub_net` is true, Rewrite will try to parse
the `cell` to a TreeNode, otherwise the `cell` is parsed to a CallCell node. Default: ``False`` .
Returns:
An instance of `Node`.
Raises:
TypeError: If `cell` is not a `Cell`.
TypeError: If `targets` is not `list`.
TypeError: If the type of `targets` is not in `[ScopedValue, str]`.
TypeError: If arg in `args` is not a `ScopedValue`.
TypeError: If key of `kwarg` is not a str or value of kwarg in `kwargs` is not a `ScopedValue`.
Examples:
>>> from mindspore.rewrite import SymbolTree, ScopedValue
>>> import mindspore.nn as nn
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> position = stree.after(node)
>>> new_node = node.create_call_cell(cell=nn.ReLU(), targets=['x'],
... args=[ScopedValue.create_naming_value('x')], name='new_relu')
>>> stree.insert(position, new_node)
>>> print(type(new_node))
<class 'mindspore.rewrite.api.node.Node'>
"""
Validator.check_value_type("cell", cell, [Cell, Primitive], "Node")
Validator.check_element_type_of_iterable("targets", targets, [ScopedValue, str], "Node")
Validator.check_value_type("name", name, [str], "Node")
Validator.check_value_type("is_sub_net", is_sub_net, [bool], "Node")
if args is not None:
Validator.check_element_type_of_iterable("args", args, [ScopedValue], "Node")
if kwargs is not None:
Validator.check_element_type_of_dict("kwargs", kwargs, [str], [ScopedValue], "Node")
return Node(NodeImpl.create_call_op(cell, None, targets, args, kwargs, name, is_sub_net))
[文档] @staticmethod
def create_call_function(function: FunctionType, targets: List[Union[ScopedValue, str]],
args: List[ScopedValue] = None, kwargs: Dict[str, ScopedValue] = None) -> 'Node':
"""
Create a node that corresponds to a function call. The `function` object is saved into network, and used via
getting object from `self.` .
Args:
function (FunctionType): The function to be called.
targets (List[Union[ScopedValue, str]]): indicates output names. Used as targets of an assign statement in
source code.
args (List[ScopedValue]): Indicate input names. Used as args of a call expression of an assign statement in
source code. Default: ``None`` , which indicates the `function` has no args inputs.
kwargs (Dict[str, ScopedValue]): Type of key must be `str` and type of value must be `ScopedValue`.
Indicate keyword input names. Used as kwargs of a call expression of an assign statement in source
code. Default: ``None`` , which indicates the `function` has no kwargs inputs.
Returns:
An instance of `Node`.
Raises:
TypeError: If `function` is not a `FunctionType`.
TypeError: If `targets` is not `list`.
TypeError: If the type of `targets` is not in `[ScopedValue, str]`.
TypeError: If arg in `args` is not a `ScopedValue`.
TypeError: If key of `kwarg` is not a str or value of kwarg in `kwargs` is not a `ScopedValue`.
Examples:
>>> from mindspore.rewrite import SymbolTree, ScopedValue
>>> import mindspore.nn as nn
>>> import mindspore.ops as ops
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> position = stree.after(node)
>>> new_node = node.create_call_function(function=ops.abs, targets=['x'],
... args=[ScopedValue.create_naming_value('x')])
>>> stree.insert(position, new_node)
>>> print(new_node.get_node_type())
NodeType.CallFunction
"""
Validator.check_value_type("function", function, [FunctionType, type], "create_call_function")
Validator.check_element_type_of_iterable("targets", targets, [ScopedValue, str], "create_call_function")
if args is not None:
Validator.check_element_type_of_iterable("args", args, [ScopedValue], "create_call_function")
if kwargs is not None:
Validator.check_element_type_of_dict("kwargs", kwargs, [str], [ScopedValue], "create_call_function")
return Node(NodeImpl._create_call_function(function, targets, args, kwargs))
@staticmethod
def create_input(param_name: str, default: Optional[ScopedValue] = None) -> 'Node':
# pylint: disable=missing-function-docstring
Validator.check_value_type("param_name", param_name, [str], "Node")
if default is not None:
Validator.check_value_type("default", default, [ScopedValue], "Node")
return Node(NodeImpl.create_input_node(None, param_name, default, name=f"input_{param_name}"))
def get_handler(self) -> NodeImpl:
return self._node
[文档] def get_users(self) -> ['Node']:
"""
Get a list of nodes that use the output of the current node as input.
Returns:
A list of nodes.
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> users = node.get_users()
>>> print([user.get_name() for user in users])
['relu']
"""
belong_symbol_tree: SymbolTreeImpl = self._node.get_belong_symbol_tree()
if belong_symbol_tree is None:
return []
unique_results = []
for node_user in belong_symbol_tree.get_node_users(self._node):
node = node_user[0]
if node not in unique_results:
unique_results.append(node)
return [Node(node_impl) for node_impl in unique_results]
[文档] def set_arg(self, index: int, arg: Union[ScopedValue, str]):
"""
Set argument of current node.
Args:
index (int): Indicate which input being modified.
arg (Union[ScopedValue, str]): New argument to been set.
Raises:
TypeError: If `index` is not a `int` number.
TypeError: If the type of `arg` is not in [`ScopedValue`, `str`].
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("relu_3")
>>> node.set_arg(0, "fc1")
>>> print(node.get_args())
[fc1]
"""
Validator.check_value_type("index", index, [int], "Node")
Validator.check_value_type("arg", arg, [ScopedValue, str], "Node")
belong_symbol_tree: SymbolTreeImpl = self._node.get_belong_symbol_tree()
if belong_symbol_tree is None:
self._node.set_arg(arg, index)
else:
belong_symbol_tree.set_node_arg(self._node, index, arg)
[文档] def set_arg_by_node(self, arg_idx: int, src_node: 'Node', out_idx: Optional[int] = None):
"""
Set argument of current node by another Node.
Args:
arg_idx (int): Indicate which input being modified.
src_node (Node): A `Node` as new input. Can be a node or name of node.
out_idx (int, optional): Indicate which output of `src_node` as new input of current node.
Default: ``None`` ,
which means use first output of `src_node` as new input.
Raises:
RuntimeError: If `src_node` is not belong to current `SymbolTree`.
TypeError: If `arg_idx` is not a `int` number.
ValueError: If `arg_idx` is out of range.
TypeError: If `src_node` is not a `Node` instance.
TypeError: If `out_idx` is not a `int` number.
ValueError: If `out_idx` is out of range.
ValueError: If `src_node` has multi-outputs while `out_idx` is None or `out_idx` is not offered.
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> src_node = stree.get_node("fc1")
>>> dst_node = stree.get_node("relu_3")
>>> dst_node.set_arg_by_node(0, src_node, 0)
>>> print(dst_node.get_args())
[fc1_var]
"""
Validator.check_value_type("arg_idx", arg_idx, [int], "Node")
Validator.check_value_type("src_node", src_node, [Node], "Node")
if out_idx is not None:
Validator.check_value_type("out_idx", out_idx, [int], "Node")
belong_symbol_tree: SymbolTreeImpl = self._node.get_belong_symbol_tree()
if belong_symbol_tree is None:
self._node.set_arg_by_node(arg_idx, src_node._node, out_idx)
else:
belong_symbol_tree.set_node_arg_by_node(self._node, arg_idx, src_node.get_handler(), out_idx)
[文档] def get_targets(self) -> [ScopedValue]:
"""
Gets a list of output values for the current node.
Returns:
A list of outputs of type ``ScopedValue`` .
"""
return self._node.get_targets()
[文档] def get_name(self) -> str:
"""
Get the name of current node.
When node has been inserted into `SymbolTree`, the name of node should be unique in `SymbolTree`.
Returns:
A string as name of node.
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> name = node.get_name()
>>> print(name)
conv1
"""
return self._node.get_name()
[文档] def get_node_type(self) -> NodeType:
"""
Get the node_type of current node. See :class:`mindspore.rewrite.NodeType` for details on node types.
Returns:
A NodeType as node_type of node.
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> node_type = node.get_node_type()
>>> print(node_type)
NodeType.CallCell
"""
return self._node.get_node_type()
[文档] def get_instance_type(self) -> type:
"""
Gets the instance type called in the code corresponding to the current node.
- When `node_type` of current node is `CallCell`, the code for that node calls an instance of type ``Cell`` .
- When `node_type` of current node is `CallPrimitive`, the code for that node calls an instance of
type ``Primitive`` .
- When `node_type` of current node is `Tree`, the code for that node calls an instance of network type.
- When `node_type` of current node is `Python`, `Input`, `Output` or `CallMethod`, the instance type
is ``NoneType`` .
Returns:
The type of instance called in the statement corresponding to the current node.
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> instance_type = node.get_instance_type()
>>> print(instance_type)
<class 'mindspore.nn.layer.conv.Conv2d'>
"""
return self._node.get_instance_type()
def get_instance(self):
return self._node.get_instance()
[文档] def get_args(self) -> [ScopedValue]:
"""
Get arguments of current node.
Returns:
A list of arguments of type ``ScopedValue`` .
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> print(node.get_args())
[x]
"""
return self._node.get_args()
[文档] def get_symbol_tree(self) -> 'SymbolTree':
"""
Get the symbol tree which current node belongs to.
Returns:
SymbolTree, None if current node does not belong to any SymbolTree.
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> print(type(node.get_symbol_tree()))
<class 'mindspore.rewrite.api.symbol_tree.SymbolTree'>
"""
from .symbol_tree import SymbolTree
stree_impl = self._node.get_belong_symbol_tree()
if not stree_impl:
return None
return SymbolTree(stree_impl)
def get_kwargs(self) -> {str: ScopedValue}:
return self._node.get_kwargs()
def set_attribute(self, key: str, value):
Validator.check_value_type("key", key, [str], "Node attribute")
self._node.set_attribute(key, value)
def get_attributes(self) -> {str: object}:
return self._node.get_attributes()
def get_attribute(self, key: str):
Validator.check_value_type("key", key, [str], "Node attribute")
return self._node.get_attribute(key)