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7709ff5512
Pull Request resolved: https://github.com/pytorch/pytorch/pull/157011 Approved by: https://github.com/Skylion007
57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
import torch
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from typing import Optional, Union
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from collections.abc import Sequence
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from tensorboard.compat.proto.node_def_pb2 import NodeDef
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from tensorboard.compat.proto.attr_value_pb2 import AttrValue
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from tensorboard.compat.proto.tensor_shape_pb2 import TensorShapeProto
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def attr_value_proto(dtype: object, shape: Optional[Sequence[int]], s: Optional[str]) -> dict[str, AttrValue]:
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"""Create a dict of objects matching a NodeDef's attr field.
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Follows https://github.com/tensorflow/tensorboard/blob/master/tensorboard/compat/proto/attr_value.proto
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specifically designed for a NodeDef. The values have been reverse engineered from
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standard TensorBoard logged data.
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"""
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attr = {}
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if s is not None:
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attr["attr"] = AttrValue(s=s.encode(encoding="utf_8"))
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if shape is not None:
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shapeproto = tensor_shape_proto(shape)
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attr["_output_shapes"] = AttrValue(list=AttrValue.ListValue(shape=[shapeproto]))
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return attr
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def tensor_shape_proto(outputsize: Sequence[int]) -> TensorShapeProto:
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"""Create an object matching a tensor_shape field.
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Follows https://github.com/tensorflow/tensorboard/blob/master/tensorboard/compat/proto/tensor_shape.proto .
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"""
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return TensorShapeProto(dim=[TensorShapeProto.Dim(size=d) for d in outputsize])
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def node_proto(
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name: str,
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op: str = "UnSpecified",
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input: Optional[Union[list[str], str]] = None,
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dtype: Optional[torch.dtype] = None,
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shape: Optional[tuple[int, ...]] = None,
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outputsize: Optional[Sequence[int]] = None,
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attributes: str = "",
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) -> NodeDef:
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"""Create an object matching a NodeDef.
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Follows https://github.com/tensorflow/tensorboard/blob/master/tensorboard/compat/proto/node_def.proto .
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"""
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if input is None:
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input = []
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if not isinstance(input, list):
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input = [input]
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return NodeDef(
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name=name.encode(encoding="utf_8"),
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op=op,
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input=input,
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attr=attr_value_proto(dtype, outputsize, attributes),
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)
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