mindspore_gl.nn.gnn_cell 源代码

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"""GNN Cell"""
from mindspore.nn import Cell
from ..parser.vcg import translate, set_display_config
from ..parser.backend import Backend
from ..parser.check_syntax_pass import SymBaseGraph
from ..parser.check_syntax_pass import CheckSyntaxPass
from ..backward import GatherNet, CSRReduceSumNet

[文档]class GNNCell(Cell): """ GNN Cell class. Construct function will be translated by default. Supported Platforms: ``Ascend`` ``GPU`` """ translate_path = None csr = False backward = False def __init__(self): super().__init__() Backend.csr = self.csr Backend.backward = self.backward SymBaseGraph.csr = self.csr CheckSyntaxPass.csr = self.csr translate(self, "construct", self.translate_path) # pylint: disable=C0103 if self.csr: self.CSR_BACKWARD_GATHER = GatherNet() self.CSR_BACKWARD_REDUCE_SUM = CSRReduceSumNet()
[文档] @staticmethod def enable_display(screen_width=200): """ Enable display code comparison. Args: screen_width (int, optional): Determines the screen width on which the code is displayed. Default: 200. Examples: >>> from mindspore_gl.nn import GNNCell >>> GNNCell.enable_display(screen_width=350) """ set_display_config(screen_width, True)
[文档] @staticmethod def disable_display(): """ Disable display code comparison. Examples: >>> from mindspore_gl.nn import GNNCell >>> GNNCell.disable_display() """ set_display_config(0, False)
[文档] @classmethod def specify_path(cls, path): """ Enable specify the construct file path. Args: path (str): The path for save the construct file. Examples: >>> from mindspore_gl.nn import GNNCell >>> GNNCell.specify_path('path/to/save') """ cls.translate_path = path
[文档] @classmethod def sparse_compute(cls, csr=False, backward=False): """ Whether to use sparse operator to accelerate calculation. Args: csr (bool, optional): Is it a csr data structure. Default: False. backward (bool, optional): Whether to use custom back propagation. Default: False. Raises: ValueError: If `csr` is False and `backward` is True. Examples: >>> from mindspore_gl.nn import GNNCell >>> GNNCell.sparse_compute(csr=True, backward=False) """ if csr is False and backward is True: ValueError("Custom back propagation is supported only when the data structure is CSR") cls.csr = csr cls.backward = csr and backward