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"""Rewrite module api: Node."""
from typing import Union, Optional
from mindspore.nn import Cell
from mindspore.ops.primitive import Primitive
from mindspore import _checkparam as Validator
from ..node import Node as NodeImpl
from ..symbol_tree import SymbolTree as SymbolTreeImpl
from .node_type import NodeType
from .scoped_value import ScopedValue
[docs]class Node:
"""
Node is a data structure represents a source code line in network.
For the most part, Node represents an operator invoking in forward which could be an instance of `Cell`, an instance
of `Primitive` or a callable method.
Args:
node (NodeImpl): A handler of `NodeImpl`. `NodeImpl` mentioned below is implementation of `Node` which is not
an interface of Rewrite. Rewrite recommend invoking specific create method of `Node`
to instantiate an instance of Node such as `create_call_cell` rather than invoking constructor of `Node`
directly, so don't care about what is `NodeImpl` and use its instance just as a handler.
"""
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
[docs] @staticmethod
def create_call_cell(cell: Cell, targets: [Union[ScopedValue, str]], args: [ScopedValue] = None,
kwargs: {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[ScopedValue]): Indicate output names. Used as targets of an assign statement in source code.
Rewrite will check and ensure the uniqueness of each target while node being inserted.
args (list[ScopedValue]): Indicate input names. Used as args of a call expression of an assign statement in
source code. Rewrite will check and ensure the uniqueness of each arg while node being inserted.
Default: ``None`` , which indicates the `cell` has no args inputs.
kwargs (dict): 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. Rewrite will check and ensure the uniqueness of each kwarg while node being inserted.
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 `targets` 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`.
"""
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, ScopedValue.create_naming_value(name, "self"),
args, kwargs, name, is_sub_net))
def get_handler(self) -> NodeImpl:
return self._node
[docs] def get_users(self) -> ['Node']:
"""
Get output nodes of current node in topological order.
Returns:
A list of nodes represents users.
Examples:
>>> from mindspore.rewrite import SymbolTree
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.0/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> users = node.get_users()
"""
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]
[docs] 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/r2.0/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> node.set_arg(0, "x")
"""
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)
[docs] 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 is 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/r2.0/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> src_node = stree.get_node("conv1")
>>> dst_node = stree.get_node("conv2")
>>> dst_node.set_arg_by_node(0, src_node)
"""
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)
def get_targets(self) -> [ScopedValue]:
return self._node.get_targets()
[docs] 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/r2.0/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> name = node.get_name()
"""
return self._node.get_name()
[docs] def get_node_type(self) -> NodeType:
"""
Get the node_type of current node.
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/r2.0/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> stree = SymbolTree.create(net)
>>> node = stree.get_node("conv1")
>>> node_type = node.get_node_type()
"""
return self._node.get_node_type()
[docs] def get_instance_type(self) -> type:
"""
Get the instance_type of current node.
- When node_type of current node is `CallCell`, instance_type is type of cell-op.
- When node_type of current node is `CallPrimitive`, instance_type is type of primitive-op.
- When node_type of current node is `Tree`, instance_type is type of network-cell.
- When node_type of current node is `Python`, `Input`, `Output` or `CallMethod`, instance_type should be
NoneType.
Returns:
A type object represents corresponding instance type of current node.
"""
return self._node.get_instance_type()
def get_instance(self):
return self._node.get_instance()
def get_args(self) -> [ScopedValue]:
return self._node.get_args()
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)