This commit is contained in:
zhangmozhe
2020-12-01 14:06:29 +08:00
parent 5118d07b0f
commit 0c1389853a
246 changed files with 186 additions and 3834 deletions
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-600
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@@ -1,600 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/attr_value.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorboardX.src import tensor_pb2 as tensorboardX_dot_src_dot_tensor__pb2
from tensorboardX.src import tensor_shape_pb2 as tensorboardX_dot_src_dot_tensor__shape__pb2
from tensorboardX.src import types_pb2 as tensorboardX_dot_src_dot_types__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/attr_value.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
"\n!tensorboardX/src/attr_value.proto\x12\x0btensorboard\x1a\x1dtensorboardX/src/tensor.proto\x1a#tensorboardX/src/tensor_shape.proto\x1a\x1ctensorboardX/src/types.proto\"\xaf\x04\n\tAttrValue\x12\x0b\n\x01s\x18\x02 \x01(\x0cH\x00\x12\x0b\n\x01i\x18\x03 \x01(\x03H\x00\x12\x0b\n\x01\x66\x18\x04 \x01(\x02H\x00\x12\x0b\n\x01\x62\x18\x05 \x01(\x08H\x00\x12%\n\x04type\x18\x06 \x01(\x0e\x32\x15.tensorboard.DataTypeH\x00\x12.\n\x05shape\x18\x07 \x01(\x0b\x32\x1d.tensorboard.TensorShapeProtoH\x00\x12*\n\x06tensor\x18\x08 \x01(\x0b\x32\x18.tensorboard.TensorProtoH\x00\x12\x30\n\x04list\x18\x01 \x01(\x0b\x32 .tensorboard.AttrValue.ListValueH\x00\x12)\n\x04\x66unc\x18\n \x01(\x0b\x32\x19.tensorboard.NameAttrListH\x00\x12\x15\n\x0bplaceholder\x18\t \x01(\tH\x00\x1a\xed\x01\n\tListValue\x12\t\n\x01s\x18\x02 \x03(\x0c\x12\r\n\x01i\x18\x03 \x03(\x03\x42\x02\x10\x01\x12\r\n\x01\x66\x18\x04 \x03(\x02\x42\x02\x10\x01\x12\r\n\x01\x62\x18\x05 \x03(\x08\x42\x02\x10\x01\x12'\n\x04type\x18\x06 \x03(\x0e\x32\x15.tensorboard.DataTypeB\x02\x10\x01\x12,\n\x05shape\x18\x07 \x03(\x0b\x32\x1d.tensorboard.TensorShapeProto\x12(\n\x06tensor\x18\x08 \x03(\x0b\x32\x18.tensorboard.TensorProto\x12'\n\x04\x66unc\x18\t \x03(\x0b\x32\x19.tensorboard.NameAttrListB\x07\n\x05value\"\x94\x01\n\x0cNameAttrList\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x31\n\x04\x61ttr\x18\x02 \x03(\x0b\x32#.tensorboard.NameAttrList.AttrEntry\x1a\x43\n\tAttrEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.tensorboard.AttrValue:\x02\x38\x01\x42\x30\n\x18org.tensorflow.frameworkB\x0f\x41ttrValueProtosP\x01\xf8\x01\x01\x62\x06proto3"
),
dependencies=[
tensorboardX_dot_src_dot_tensor__pb2.DESCRIPTOR,
tensorboardX_dot_src_dot_tensor__shape__pb2.DESCRIPTOR,
tensorboardX_dot_src_dot_types__pb2.DESCRIPTOR,
],
)
_ATTRVALUE_LISTVALUE = _descriptor.Descriptor(
name="ListValue",
full_name="tensorboard.AttrValue.ListValue",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="s",
full_name="tensorboard.AttrValue.ListValue.s",
index=0,
number=2,
type=12,
cpp_type=9,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="i",
full_name="tensorboard.AttrValue.ListValue.i",
index=1,
number=3,
type=3,
cpp_type=2,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="f",
full_name="tensorboard.AttrValue.ListValue.f",
index=2,
number=4,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="b",
full_name="tensorboard.AttrValue.ListValue.b",
index=3,
number=5,
type=8,
cpp_type=7,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="type",
full_name="tensorboard.AttrValue.ListValue.type",
index=4,
number=6,
type=14,
cpp_type=8,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="shape",
full_name="tensorboard.AttrValue.ListValue.shape",
index=5,
number=7,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="tensor",
full_name="tensorboard.AttrValue.ListValue.tensor",
index=6,
number=8,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="func",
full_name="tensorboard.AttrValue.ListValue.func",
index=7,
number=9,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=462,
serialized_end=699,
)
_ATTRVALUE = _descriptor.Descriptor(
name="AttrValue",
full_name="tensorboard.AttrValue",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="s",
full_name="tensorboard.AttrValue.s",
index=0,
number=2,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="i",
full_name="tensorboard.AttrValue.i",
index=1,
number=3,
type=3,
cpp_type=2,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="f",
full_name="tensorboard.AttrValue.f",
index=2,
number=4,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="b",
full_name="tensorboard.AttrValue.b",
index=3,
number=5,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="type",
full_name="tensorboard.AttrValue.type",
index=4,
number=6,
type=14,
cpp_type=8,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="shape",
full_name="tensorboard.AttrValue.shape",
index=5,
number=7,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="tensor",
full_name="tensorboard.AttrValue.tensor",
index=6,
number=8,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="list",
full_name="tensorboard.AttrValue.list",
index=7,
number=1,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="func",
full_name="tensorboard.AttrValue.func",
index=8,
number=10,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="placeholder",
full_name="tensorboard.AttrValue.placeholder",
index=9,
number=9,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[_ATTRVALUE_LISTVALUE,],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name="value", full_name="tensorboard.AttrValue.value", index=0, containing_type=None, fields=[]
),
],
serialized_start=149,
serialized_end=708,
)
_NAMEATTRLIST_ATTRENTRY = _descriptor.Descriptor(
name="AttrEntry",
full_name="tensorboard.NameAttrList.AttrEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="tensorboard.NameAttrList.AttrEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="value",
full_name="tensorboard.NameAttrList.AttrEntry.value",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b("8\001")),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=792,
serialized_end=859,
)
_NAMEATTRLIST = _descriptor.Descriptor(
name="NameAttrList",
full_name="tensorboard.NameAttrList",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="name",
full_name="tensorboard.NameAttrList.name",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="attr",
full_name="tensorboard.NameAttrList.attr",
index=1,
number=2,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[_NAMEATTRLIST_ATTRENTRY,],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=711,
serialized_end=859,
)
_ATTRVALUE_LISTVALUE.fields_by_name["type"].enum_type = tensorboardX_dot_src_dot_types__pb2._DATATYPE
_ATTRVALUE_LISTVALUE.fields_by_name[
"shape"
].message_type = tensorboardX_dot_src_dot_tensor__shape__pb2._TENSORSHAPEPROTO
_ATTRVALUE_LISTVALUE.fields_by_name["tensor"].message_type = tensorboardX_dot_src_dot_tensor__pb2._TENSORPROTO
_ATTRVALUE_LISTVALUE.fields_by_name["func"].message_type = _NAMEATTRLIST
_ATTRVALUE_LISTVALUE.containing_type = _ATTRVALUE
_ATTRVALUE.fields_by_name["type"].enum_type = tensorboardX_dot_src_dot_types__pb2._DATATYPE
_ATTRVALUE.fields_by_name["shape"].message_type = tensorboardX_dot_src_dot_tensor__shape__pb2._TENSORSHAPEPROTO
_ATTRVALUE.fields_by_name["tensor"].message_type = tensorboardX_dot_src_dot_tensor__pb2._TENSORPROTO
_ATTRVALUE.fields_by_name["list"].message_type = _ATTRVALUE_LISTVALUE
_ATTRVALUE.fields_by_name["func"].message_type = _NAMEATTRLIST
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["s"])
_ATTRVALUE.fields_by_name["s"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["i"])
_ATTRVALUE.fields_by_name["i"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["f"])
_ATTRVALUE.fields_by_name["f"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["b"])
_ATTRVALUE.fields_by_name["b"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["type"])
_ATTRVALUE.fields_by_name["type"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["shape"])
_ATTRVALUE.fields_by_name["shape"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["tensor"])
_ATTRVALUE.fields_by_name["tensor"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["list"])
_ATTRVALUE.fields_by_name["list"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["func"])
_ATTRVALUE.fields_by_name["func"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_ATTRVALUE.oneofs_by_name["value"].fields.append(_ATTRVALUE.fields_by_name["placeholder"])
_ATTRVALUE.fields_by_name["placeholder"].containing_oneof = _ATTRVALUE.oneofs_by_name["value"]
_NAMEATTRLIST_ATTRENTRY.fields_by_name["value"].message_type = _ATTRVALUE
_NAMEATTRLIST_ATTRENTRY.containing_type = _NAMEATTRLIST
_NAMEATTRLIST.fields_by_name["attr"].message_type = _NAMEATTRLIST_ATTRENTRY
DESCRIPTOR.message_types_by_name["AttrValue"] = _ATTRVALUE
DESCRIPTOR.message_types_by_name["NameAttrList"] = _NAMEATTRLIST
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
AttrValue = _reflection.GeneratedProtocolMessageType(
"AttrValue",
(_message.Message,),
dict(
ListValue=_reflection.GeneratedProtocolMessageType(
"ListValue",
(_message.Message,),
dict(
DESCRIPTOR=_ATTRVALUE_LISTVALUE,
__module__="tensorboardX.src.attr_value_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.AttrValue.ListValue)
),
),
DESCRIPTOR=_ATTRVALUE,
__module__="tensorboardX.src.attr_value_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.AttrValue)
),
)
_sym_db.RegisterMessage(AttrValue)
_sym_db.RegisterMessage(AttrValue.ListValue)
NameAttrList = _reflection.GeneratedProtocolMessageType(
"NameAttrList",
(_message.Message,),
dict(
AttrEntry=_reflection.GeneratedProtocolMessageType(
"AttrEntry",
(_message.Message,),
dict(
DESCRIPTOR=_NAMEATTRLIST_ATTRENTRY,
__module__="tensorboardX.src.attr_value_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.NameAttrList.AttrEntry)
),
),
DESCRIPTOR=_NAMEATTRLIST,
__module__="tensorboardX.src.attr_value_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.NameAttrList)
),
)
_sym_db.RegisterMessage(NameAttrList)
_sym_db.RegisterMessage(NameAttrList.AttrEntry)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\017AttrValueProtosP\001\370\001\001")
)
_ATTRVALUE_LISTVALUE.fields_by_name["i"].has_options = True
_ATTRVALUE_LISTVALUE.fields_by_name["i"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_ATTRVALUE_LISTVALUE.fields_by_name["f"].has_options = True
_ATTRVALUE_LISTVALUE.fields_by_name["f"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_ATTRVALUE_LISTVALUE.fields_by_name["b"].has_options = True
_ATTRVALUE_LISTVALUE.fields_by_name["b"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_ATTRVALUE_LISTVALUE.fields_by_name["type"].has_options = True
_ATTRVALUE_LISTVALUE.fields_by_name["type"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_NAMEATTRLIST_ATTRENTRY.has_options = True
_NAMEATTRLIST_ATTRENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b("8\001"))
# @@protoc_insertion_point(module_scope)
-506
View File
@@ -1,506 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/event.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorboardX.src import summary_pb2 as tensorboardX_dot_src_dot_summary__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/event.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n\x1ctensorboardX/src/event.proto\x12\x0btensorboard\x1a\x1etensorboardX/src/summary.proto"\xbf\x02\n\x05\x45vent\x12\x11\n\twall_time\x18\x01 \x01(\x01\x12\x0c\n\x04step\x18\x02 \x01(\x03\x12\x16\n\x0c\x66ile_version\x18\x03 \x01(\tH\x00\x12\x13\n\tgraph_def\x18\x04 \x01(\x0cH\x00\x12\'\n\x07summary\x18\x05 \x01(\x0b\x32\x14.tensorboard.SummaryH\x00\x12.\n\x0blog_message\x18\x06 \x01(\x0b\x32\x17.tensorboard.LogMessageH\x00\x12.\n\x0bsession_log\x18\x07 \x01(\x0b\x32\x17.tensorboard.SessionLogH\x00\x12=\n\x13tagged_run_metadata\x18\x08 \x01(\x0b\x32\x1e.tensorboard.TaggedRunMetadataH\x00\x12\x18\n\x0emeta_graph_def\x18\t \x01(\x0cH\x00\x42\x06\n\x04what"\x96\x01\n\nLogMessage\x12,\n\x05level\x18\x01 \x01(\x0e\x32\x1d.tensorboard.LogMessage.Level\x12\x0f\n\x07message\x18\x02 \x01(\t"I\n\x05Level\x12\x0b\n\x07UNKNOWN\x10\x00\x12\t\n\x05\x44\x45\x42UG\x10\n\x12\x08\n\x04INFO\x10\x14\x12\x08\n\x04WARN\x10\x1e\x12\t\n\x05\x45RROR\x10(\x12\t\n\x05\x46\x41TAL\x10\x32"\xb7\x01\n\nSessionLog\x12\x35\n\x06status\x18\x01 \x01(\x0e\x32%.tensorboard.SessionLog.SessionStatus\x12\x17\n\x0f\x63heckpoint_path\x18\x02 \x01(\t\x12\x0b\n\x03msg\x18\x03 \x01(\t"L\n\rSessionStatus\x12\x16\n\x12STATUS_UNSPECIFIED\x10\x00\x12\t\n\x05START\x10\x01\x12\x08\n\x04STOP\x10\x02\x12\x0e\n\nCHECKPOINT\x10\x03"6\n\x11TaggedRunMetadata\x12\x0b\n\x03tag\x18\x01 \x01(\t\x12\x14\n\x0crun_metadata\x18\x02 \x01(\x0c\x42\'\n\x13org.tensorflow.utilB\x0b\x45ventProtosP\x01\xf8\x01\x01\x62\x06proto3'
),
dependencies=[tensorboardX_dot_src_dot_summary__pb2.DESCRIPTOR,],
)
_LOGMESSAGE_LEVEL = _descriptor.EnumDescriptor(
name="Level",
full_name="tensorboard.LogMessage.Level",
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(name="UNKNOWN", index=0, number=0, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DEBUG", index=1, number=10, options=None, type=None),
_descriptor.EnumValueDescriptor(name="INFO", index=2, number=20, options=None, type=None),
_descriptor.EnumValueDescriptor(name="WARN", index=3, number=30, options=None, type=None),
_descriptor.EnumValueDescriptor(name="ERROR", index=4, number=40, options=None, type=None),
_descriptor.EnumValueDescriptor(name="FATAL", index=5, number=50, options=None, type=None),
],
containing_type=None,
options=None,
serialized_start=477,
serialized_end=550,
)
_sym_db.RegisterEnumDescriptor(_LOGMESSAGE_LEVEL)
_SESSIONLOG_SESSIONSTATUS = _descriptor.EnumDescriptor(
name="SessionStatus",
full_name="tensorboard.SessionLog.SessionStatus",
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(name="STATUS_UNSPECIFIED", index=0, number=0, options=None, type=None),
_descriptor.EnumValueDescriptor(name="START", index=1, number=1, options=None, type=None),
_descriptor.EnumValueDescriptor(name="STOP", index=2, number=2, options=None, type=None),
_descriptor.EnumValueDescriptor(name="CHECKPOINT", index=3, number=3, options=None, type=None),
],
containing_type=None,
options=None,
serialized_start=660,
serialized_end=736,
)
_sym_db.RegisterEnumDescriptor(_SESSIONLOG_SESSIONSTATUS)
_EVENT = _descriptor.Descriptor(
name="Event",
full_name="tensorboard.Event",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="wall_time",
full_name="tensorboard.Event.wall_time",
index=0,
number=1,
type=1,
cpp_type=5,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="step",
full_name="tensorboard.Event.step",
index=1,
number=2,
type=3,
cpp_type=2,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="file_version",
full_name="tensorboard.Event.file_version",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="graph_def",
full_name="tensorboard.Event.graph_def",
index=3,
number=4,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="summary",
full_name="tensorboard.Event.summary",
index=4,
number=5,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="log_message",
full_name="tensorboard.Event.log_message",
index=5,
number=6,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="session_log",
full_name="tensorboard.Event.session_log",
index=6,
number=7,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="tagged_run_metadata",
full_name="tensorboard.Event.tagged_run_metadata",
index=7,
number=8,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="meta_graph_def",
full_name="tensorboard.Event.meta_graph_def",
index=8,
number=9,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name="what", full_name="tensorboard.Event.what", index=0, containing_type=None, fields=[]
),
],
serialized_start=78,
serialized_end=397,
)
_LOGMESSAGE = _descriptor.Descriptor(
name="LogMessage",
full_name="tensorboard.LogMessage",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="level",
full_name="tensorboard.LogMessage.level",
index=0,
number=1,
type=14,
cpp_type=8,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="message",
full_name="tensorboard.LogMessage.message",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[_LOGMESSAGE_LEVEL,],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=400,
serialized_end=550,
)
_SESSIONLOG = _descriptor.Descriptor(
name="SessionLog",
full_name="tensorboard.SessionLog",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="status",
full_name="tensorboard.SessionLog.status",
index=0,
number=1,
type=14,
cpp_type=8,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="checkpoint_path",
full_name="tensorboard.SessionLog.checkpoint_path",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="msg",
full_name="tensorboard.SessionLog.msg",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[_SESSIONLOG_SESSIONSTATUS,],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=553,
serialized_end=736,
)
_TAGGEDRUNMETADATA = _descriptor.Descriptor(
name="TaggedRunMetadata",
full_name="tensorboard.TaggedRunMetadata",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="tag",
full_name="tensorboard.TaggedRunMetadata.tag",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="run_metadata",
full_name="tensorboard.TaggedRunMetadata.run_metadata",
index=1,
number=2,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=738,
serialized_end=792,
)
_EVENT.fields_by_name["summary"].message_type = tensorboardX_dot_src_dot_summary__pb2._SUMMARY
_EVENT.fields_by_name["log_message"].message_type = _LOGMESSAGE
_EVENT.fields_by_name["session_log"].message_type = _SESSIONLOG
_EVENT.fields_by_name["tagged_run_metadata"].message_type = _TAGGEDRUNMETADATA
_EVENT.oneofs_by_name["what"].fields.append(_EVENT.fields_by_name["file_version"])
_EVENT.fields_by_name["file_version"].containing_oneof = _EVENT.oneofs_by_name["what"]
_EVENT.oneofs_by_name["what"].fields.append(_EVENT.fields_by_name["graph_def"])
_EVENT.fields_by_name["graph_def"].containing_oneof = _EVENT.oneofs_by_name["what"]
_EVENT.oneofs_by_name["what"].fields.append(_EVENT.fields_by_name["summary"])
_EVENT.fields_by_name["summary"].containing_oneof = _EVENT.oneofs_by_name["what"]
_EVENT.oneofs_by_name["what"].fields.append(_EVENT.fields_by_name["log_message"])
_EVENT.fields_by_name["log_message"].containing_oneof = _EVENT.oneofs_by_name["what"]
_EVENT.oneofs_by_name["what"].fields.append(_EVENT.fields_by_name["session_log"])
_EVENT.fields_by_name["session_log"].containing_oneof = _EVENT.oneofs_by_name["what"]
_EVENT.oneofs_by_name["what"].fields.append(_EVENT.fields_by_name["tagged_run_metadata"])
_EVENT.fields_by_name["tagged_run_metadata"].containing_oneof = _EVENT.oneofs_by_name["what"]
_EVENT.oneofs_by_name["what"].fields.append(_EVENT.fields_by_name["meta_graph_def"])
_EVENT.fields_by_name["meta_graph_def"].containing_oneof = _EVENT.oneofs_by_name["what"]
_LOGMESSAGE.fields_by_name["level"].enum_type = _LOGMESSAGE_LEVEL
_LOGMESSAGE_LEVEL.containing_type = _LOGMESSAGE
_SESSIONLOG.fields_by_name["status"].enum_type = _SESSIONLOG_SESSIONSTATUS
_SESSIONLOG_SESSIONSTATUS.containing_type = _SESSIONLOG
DESCRIPTOR.message_types_by_name["Event"] = _EVENT
DESCRIPTOR.message_types_by_name["LogMessage"] = _LOGMESSAGE
DESCRIPTOR.message_types_by_name["SessionLog"] = _SESSIONLOG
DESCRIPTOR.message_types_by_name["TaggedRunMetadata"] = _TAGGEDRUNMETADATA
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
Event = _reflection.GeneratedProtocolMessageType(
"Event",
(_message.Message,),
dict(
DESCRIPTOR=_EVENT,
__module__="tensorboardX.src.event_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.Event)
),
)
_sym_db.RegisterMessage(Event)
LogMessage = _reflection.GeneratedProtocolMessageType(
"LogMessage",
(_message.Message,),
dict(
DESCRIPTOR=_LOGMESSAGE,
__module__="tensorboardX.src.event_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.LogMessage)
),
)
_sym_db.RegisterMessage(LogMessage)
SessionLog = _reflection.GeneratedProtocolMessageType(
"SessionLog",
(_message.Message,),
dict(
DESCRIPTOR=_SESSIONLOG,
__module__="tensorboardX.src.event_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.SessionLog)
),
)
_sym_db.RegisterMessage(SessionLog)
TaggedRunMetadata = _reflection.GeneratedProtocolMessageType(
"TaggedRunMetadata",
(_message.Message,),
dict(
DESCRIPTOR=_TAGGEDRUNMETADATA,
__module__="tensorboardX.src.event_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.TaggedRunMetadata)
),
)
_sym_db.RegisterMessage(TaggedRunMetadata)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\023org.tensorflow.utilB\013EventProtosP\001\370\001\001")
)
# @@protoc_insertion_point(module_scope)
-129
View File
@@ -1,129 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/graph.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorboardX.src import node_def_pb2 as tensorboardX_dot_src_dot_node__def__pb2
from tensorboardX.src import versions_pb2 as tensorboardX_dot_src_dot_versions__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/graph.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n\x1ctensorboardX/src/graph.proto\x12\x0btensorboard\x1a\x1ftensorboardX/src/node_def.proto\x1a\x1ftensorboardX/src/versions.proto"n\n\x08GraphDef\x12"\n\x04node\x18\x01 \x03(\x0b\x32\x14.tensorboard.NodeDef\x12)\n\x08versions\x18\x04 \x01(\x0b\x32\x17.tensorboard.VersionDef\x12\x13\n\x07version\x18\x03 \x01(\x05\x42\x02\x18\x01\x42,\n\x18org.tensorflow.frameworkB\x0bGraphProtosP\x01\xf8\x01\x01\x62\x06proto3'
),
dependencies=[
tensorboardX_dot_src_dot_node__def__pb2.DESCRIPTOR,
tensorboardX_dot_src_dot_versions__pb2.DESCRIPTOR,
],
)
_GRAPHDEF = _descriptor.Descriptor(
name="GraphDef",
full_name="tensorboard.GraphDef",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="node",
full_name="tensorboard.GraphDef.node",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="versions",
full_name="tensorboard.GraphDef.versions",
index=1,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="version",
full_name="tensorboard.GraphDef.version",
index=2,
number=3,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\030\001")),
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=111,
serialized_end=221,
)
_GRAPHDEF.fields_by_name["node"].message_type = tensorboardX_dot_src_dot_node__def__pb2._NODEDEF
_GRAPHDEF.fields_by_name["versions"].message_type = tensorboardX_dot_src_dot_versions__pb2._VERSIONDEF
DESCRIPTOR.message_types_by_name["GraphDef"] = _GRAPHDEF
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
GraphDef = _reflection.GeneratedProtocolMessageType(
"GraphDef",
(_message.Message,),
dict(
DESCRIPTOR=_GRAPHDEF,
__module__="tensorboardX.src.graph_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.GraphDef)
),
)
_sym_db.RegisterMessage(GraphDef)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\013GraphProtosP\001\370\001\001")
)
_GRAPHDEF.fields_by_name["version"].has_options = True
_GRAPHDEF.fields_by_name["version"]._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\030\001"))
# @@protoc_insertion_point(module_scope)
-224
View File
@@ -1,224 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/node_def.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorboardX.src import attr_value_pb2 as tensorboardX_dot_src_dot_attr__value__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/node_def.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n\x1ftensorboardX/src/node_def.proto\x12\x0btensorboard\x1a!tensorboardX/src/attr_value.proto"\xb5\x01\n\x07NodeDef\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\n\n\x02op\x18\x02 \x01(\t\x12\r\n\x05input\x18\x03 \x03(\t\x12\x0e\n\x06\x64\x65vice\x18\x04 \x01(\t\x12,\n\x04\x61ttr\x18\x05 \x03(\x0b\x32\x1e.tensorboard.NodeDef.AttrEntry\x1a\x43\n\tAttrEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.tensorboard.AttrValue:\x02\x38\x01\x42*\n\x18org.tensorflow.frameworkB\tNodeProtoP\x01\xf8\x01\x01\x62\x06proto3'
),
dependencies=[tensorboardX_dot_src_dot_attr__value__pb2.DESCRIPTOR,],
)
_NODEDEF_ATTRENTRY = _descriptor.Descriptor(
name="AttrEntry",
full_name="tensorboard.NodeDef.AttrEntry",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="key",
full_name="tensorboard.NodeDef.AttrEntry.key",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="value",
full_name="tensorboard.NodeDef.AttrEntry.value",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b("8\001")),
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=198,
serialized_end=265,
)
_NODEDEF = _descriptor.Descriptor(
name="NodeDef",
full_name="tensorboard.NodeDef",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="name",
full_name="tensorboard.NodeDef.name",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="op",
full_name="tensorboard.NodeDef.op",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="input",
full_name="tensorboard.NodeDef.input",
index=2,
number=3,
type=9,
cpp_type=9,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="device",
full_name="tensorboard.NodeDef.device",
index=3,
number=4,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="attr",
full_name="tensorboard.NodeDef.attr",
index=4,
number=5,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[_NODEDEF_ATTRENTRY,],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=84,
serialized_end=265,
)
_NODEDEF_ATTRENTRY.fields_by_name["value"].message_type = tensorboardX_dot_src_dot_attr__value__pb2._ATTRVALUE
_NODEDEF_ATTRENTRY.containing_type = _NODEDEF
_NODEDEF.fields_by_name["attr"].message_type = _NODEDEF_ATTRENTRY
DESCRIPTOR.message_types_by_name["NodeDef"] = _NODEDEF
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
NodeDef = _reflection.GeneratedProtocolMessageType(
"NodeDef",
(_message.Message,),
dict(
AttrEntry=_reflection.GeneratedProtocolMessageType(
"AttrEntry",
(_message.Message,),
dict(
DESCRIPTOR=_NODEDEF_ATTRENTRY,
__module__="tensorboardX.src.node_def_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.NodeDef.AttrEntry)
),
),
DESCRIPTOR=_NODEDEF,
__module__="tensorboardX.src.node_def_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.NodeDef)
),
)
_sym_db.RegisterMessage(NodeDef)
_sym_db.RegisterMessage(NodeDef.AttrEntry)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\tNodeProtoP\001\370\001\001")
)
_NODEDEF_ATTRENTRY.has_options = True
_NODEDEF_ATTRENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b("8\001"))
# @@protoc_insertion_point(module_scope)
-97
View File
@@ -1,97 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/plugin_pr_curve.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/plugin_pr_curve.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n&tensorboardX/src/plugin_pr_curve.proto\x12\x0btensorboard"<\n\x11PrCurvePluginData\x12\x0f\n\x07version\x18\x01 \x01(\x05\x12\x16\n\x0enum_thresholds\x18\x02 \x01(\rb\x06proto3'
),
)
_PRCURVEPLUGINDATA = _descriptor.Descriptor(
name="PrCurvePluginData",
full_name="tensorboard.PrCurvePluginData",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="version",
full_name="tensorboard.PrCurvePluginData.version",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="num_thresholds",
full_name="tensorboard.PrCurvePluginData.num_thresholds",
index=1,
number=2,
type=13,
cpp_type=3,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=55,
serialized_end=115,
)
DESCRIPTOR.message_types_by_name["PrCurvePluginData"] = _PRCURVEPLUGINDATA
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
PrCurvePluginData = _reflection.GeneratedProtocolMessageType(
"PrCurvePluginData",
(_message.Message,),
dict(
DESCRIPTOR=_PRCURVEPLUGINDATA,
__module__="tensorboardX.src.plugin_pr_curve_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.PrCurvePluginData)
),
)
_sym_db.RegisterMessage(PrCurvePluginData)
# @@protoc_insertion_point(module_scope)
-152
View File
@@ -1,152 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/resource_handle.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/resource_handle.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n&tensorboardX/src/resource_handle.proto\x12\x0btensorboard"r\n\x13ResourceHandleProto\x12\x0e\n\x06\x64\x65vice\x18\x01 \x01(\t\x12\x11\n\tcontainer\x18\x02 \x01(\t\x12\x0c\n\x04name\x18\x03 \x01(\t\x12\x11\n\thash_code\x18\x04 \x01(\x04\x12\x17\n\x0fmaybe_type_name\x18\x05 \x01(\tB/\n\x18org.tensorflow.frameworkB\x0eResourceHandleP\x01\xf8\x01\x01\x62\x06proto3'
),
)
_RESOURCEHANDLEPROTO = _descriptor.Descriptor(
name="ResourceHandleProto",
full_name="tensorboard.ResourceHandleProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="device",
full_name="tensorboard.ResourceHandleProto.device",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="container",
full_name="tensorboard.ResourceHandleProto.container",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="name",
full_name="tensorboard.ResourceHandleProto.name",
index=2,
number=3,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="hash_code",
full_name="tensorboard.ResourceHandleProto.hash_code",
index=3,
number=4,
type=4,
cpp_type=4,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="maybe_type_name",
full_name="tensorboard.ResourceHandleProto.maybe_type_name",
index=4,
number=5,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=55,
serialized_end=169,
)
DESCRIPTOR.message_types_by_name["ResourceHandleProto"] = _RESOURCEHANDLEPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
ResourceHandleProto = _reflection.GeneratedProtocolMessageType(
"ResourceHandleProto",
(_message.Message,),
dict(
DESCRIPTOR=_RESOURCEHANDLEPROTO,
__module__="tensorboardX.src.resource_handle_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.ResourceHandleProto)
),
)
_sym_db.RegisterMessage(ResourceHandleProto)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\016ResourceHandleP\001\370\001\001")
)
# @@protoc_insertion_point(module_scope)
-834
View File
@@ -1,834 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/summary.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorboardX.src import tensor_pb2 as tensorboardX_dot_src_dot_tensor__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/summary.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n\x1etensorboardX/src/summary.proto\x12\x0btensorboard\x1a\x1dtensorboardX/src/tensor.proto"\'\n\x12SummaryDescription\x12\x11\n\ttype_hint\x18\x01 \x01(\t"\x87\x01\n\x0eHistogramProto\x12\x0b\n\x03min\x18\x01 \x01(\x01\x12\x0b\n\x03max\x18\x02 \x01(\x01\x12\x0b\n\x03num\x18\x03 \x01(\x01\x12\x0b\n\x03sum\x18\x04 \x01(\x01\x12\x13\n\x0bsum_squares\x18\x05 \x01(\x01\x12\x18\n\x0c\x62ucket_limit\x18\x06 \x03(\x01\x42\x02\x10\x01\x12\x12\n\x06\x62ucket\x18\x07 \x03(\x01\x42\x02\x10\x01"\x83\x01\n\x0fSummaryMetadata\x12<\n\x0bplugin_data\x18\x01 \x03(\x0b\x32\'.tensorboard.SummaryMetadata.PluginData\x1a\x32\n\nPluginData\x12\x13\n\x0bplugin_name\x18\x01 \x01(\t\x12\x0f\n\x07\x63ontent\x18\x02 \x01(\t"\xe4\x04\n\x07Summary\x12)\n\x05value\x18\x01 \x03(\x0b\x32\x1a.tensorboard.Summary.Value\x1aX\n\x05Image\x12\x0e\n\x06height\x18\x01 \x01(\x05\x12\r\n\x05width\x18\x02 \x01(\x05\x12\x12\n\ncolorspace\x18\x03 \x01(\x05\x12\x1c\n\x14\x65ncoded_image_string\x18\x04 \x01(\x0c\x1a}\n\x05\x41udio\x12\x13\n\x0bsample_rate\x18\x01 \x01(\x02\x12\x14\n\x0cnum_channels\x18\x02 \x01(\x03\x12\x15\n\rlength_frames\x18\x03 \x01(\x03\x12\x1c\n\x14\x65ncoded_audio_string\x18\x04 \x01(\x0c\x12\x14\n\x0c\x63ontent_type\x18\x05 \x01(\t\x1a\xd4\x02\n\x05Value\x12\x11\n\tnode_name\x18\x07 \x01(\t\x12\x0b\n\x03tag\x18\x01 \x01(\t\x12.\n\x08metadata\x18\t \x01(\x0b\x32\x1c.tensorboard.SummaryMetadata\x12\x16\n\x0csimple_value\x18\x02 \x01(\x02H\x00\x12&\n\x1cobsolete_old_style_histogram\x18\x03 \x01(\x0cH\x00\x12+\n\x05image\x18\x04 \x01(\x0b\x32\x1a.tensorboard.Summary.ImageH\x00\x12,\n\x05histo\x18\x05 \x01(\x0b\x32\x1b.tensorboard.HistogramProtoH\x00\x12+\n\x05\x61udio\x18\x06 \x01(\x0b\x32\x1a.tensorboard.Summary.AudioH\x00\x12*\n\x06tensor\x18\x08 \x01(\x0b\x32\x18.tensorboard.TensorProtoH\x00\x42\x07\n\x05valueB.\n\x18org.tensorflow.frameworkB\rSummaryProtosP\x01\xf8\x01\x01\x62\x06proto3'
),
dependencies=[tensorboardX_dot_src_dot_tensor__pb2.DESCRIPTOR,],
)
_SUMMARYDESCRIPTION = _descriptor.Descriptor(
name="SummaryDescription",
full_name="tensorboard.SummaryDescription",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="type_hint",
full_name="tensorboard.SummaryDescription.type_hint",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=78,
serialized_end=117,
)
_HISTOGRAMPROTO = _descriptor.Descriptor(
name="HistogramProto",
full_name="tensorboard.HistogramProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="min",
full_name="tensorboard.HistogramProto.min",
index=0,
number=1,
type=1,
cpp_type=5,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="max",
full_name="tensorboard.HistogramProto.max",
index=1,
number=2,
type=1,
cpp_type=5,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="num",
full_name="tensorboard.HistogramProto.num",
index=2,
number=3,
type=1,
cpp_type=5,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="sum",
full_name="tensorboard.HistogramProto.sum",
index=3,
number=4,
type=1,
cpp_type=5,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="sum_squares",
full_name="tensorboard.HistogramProto.sum_squares",
index=4,
number=5,
type=1,
cpp_type=5,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="bucket_limit",
full_name="tensorboard.HistogramProto.bucket_limit",
index=5,
number=6,
type=1,
cpp_type=5,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="bucket",
full_name="tensorboard.HistogramProto.bucket",
index=6,
number=7,
type=1,
cpp_type=5,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=120,
serialized_end=255,
)
_SUMMARYMETADATA_PLUGINDATA = _descriptor.Descriptor(
name="PluginData",
full_name="tensorboard.SummaryMetadata.PluginData",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="plugin_name",
full_name="tensorboard.SummaryMetadata.PluginData.plugin_name",
index=0,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="content",
full_name="tensorboard.SummaryMetadata.PluginData.content",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=339,
serialized_end=389,
)
_SUMMARYMETADATA = _descriptor.Descriptor(
name="SummaryMetadata",
full_name="tensorboard.SummaryMetadata",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="plugin_data",
full_name="tensorboard.SummaryMetadata.plugin_data",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[_SUMMARYMETADATA_PLUGINDATA,],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=258,
serialized_end=389,
)
_SUMMARY_IMAGE = _descriptor.Descriptor(
name="Image",
full_name="tensorboard.Summary.Image",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="height",
full_name="tensorboard.Summary.Image.height",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="width",
full_name="tensorboard.Summary.Image.width",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="colorspace",
full_name="tensorboard.Summary.Image.colorspace",
index=2,
number=3,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="encoded_image_string",
full_name="tensorboard.Summary.Image.encoded_image_string",
index=3,
number=4,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=446,
serialized_end=534,
)
_SUMMARY_AUDIO = _descriptor.Descriptor(
name="Audio",
full_name="tensorboard.Summary.Audio",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="sample_rate",
full_name="tensorboard.Summary.Audio.sample_rate",
index=0,
number=1,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="num_channels",
full_name="tensorboard.Summary.Audio.num_channels",
index=1,
number=2,
type=3,
cpp_type=2,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="length_frames",
full_name="tensorboard.Summary.Audio.length_frames",
index=2,
number=3,
type=3,
cpp_type=2,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="encoded_audio_string",
full_name="tensorboard.Summary.Audio.encoded_audio_string",
index=3,
number=4,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="content_type",
full_name="tensorboard.Summary.Audio.content_type",
index=4,
number=5,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=536,
serialized_end=661,
)
_SUMMARY_VALUE = _descriptor.Descriptor(
name="Value",
full_name="tensorboard.Summary.Value",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="node_name",
full_name="tensorboard.Summary.Value.node_name",
index=0,
number=7,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="tag",
full_name="tensorboard.Summary.Value.tag",
index=1,
number=1,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="metadata",
full_name="tensorboard.Summary.Value.metadata",
index=2,
number=9,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="simple_value",
full_name="tensorboard.Summary.Value.simple_value",
index=3,
number=2,
type=2,
cpp_type=6,
label=1,
has_default_value=False,
default_value=float(0),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="obsolete_old_style_histogram",
full_name="tensorboard.Summary.Value.obsolete_old_style_histogram",
index=4,
number=3,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="image",
full_name="tensorboard.Summary.Value.image",
index=5,
number=4,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="histo",
full_name="tensorboard.Summary.Value.histo",
index=6,
number=5,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="audio",
full_name="tensorboard.Summary.Value.audio",
index=7,
number=6,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="tensor",
full_name="tensorboard.Summary.Value.tensor",
index=8,
number=8,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name="value", full_name="tensorboard.Summary.Value.value", index=0, containing_type=None, fields=[]
),
],
serialized_start=664,
serialized_end=1004,
)
_SUMMARY = _descriptor.Descriptor(
name="Summary",
full_name="tensorboard.Summary",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="value",
full_name="tensorboard.Summary.value",
index=0,
number=1,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[_SUMMARY_IMAGE, _SUMMARY_AUDIO, _SUMMARY_VALUE,],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=392,
serialized_end=1004,
)
_SUMMARYMETADATA_PLUGINDATA.containing_type = _SUMMARYMETADATA
_SUMMARYMETADATA.fields_by_name["plugin_data"].message_type = _SUMMARYMETADATA_PLUGINDATA
_SUMMARY_IMAGE.containing_type = _SUMMARY
_SUMMARY_AUDIO.containing_type = _SUMMARY
_SUMMARY_VALUE.fields_by_name["metadata"].message_type = _SUMMARYMETADATA
_SUMMARY_VALUE.fields_by_name["image"].message_type = _SUMMARY_IMAGE
_SUMMARY_VALUE.fields_by_name["histo"].message_type = _HISTOGRAMPROTO
_SUMMARY_VALUE.fields_by_name["audio"].message_type = _SUMMARY_AUDIO
_SUMMARY_VALUE.fields_by_name["tensor"].message_type = tensorboardX_dot_src_dot_tensor__pb2._TENSORPROTO
_SUMMARY_VALUE.containing_type = _SUMMARY
_SUMMARY_VALUE.oneofs_by_name["value"].fields.append(_SUMMARY_VALUE.fields_by_name["simple_value"])
_SUMMARY_VALUE.fields_by_name["simple_value"].containing_oneof = _SUMMARY_VALUE.oneofs_by_name["value"]
_SUMMARY_VALUE.oneofs_by_name["value"].fields.append(_SUMMARY_VALUE.fields_by_name["obsolete_old_style_histogram"])
_SUMMARY_VALUE.fields_by_name["obsolete_old_style_histogram"].containing_oneof = _SUMMARY_VALUE.oneofs_by_name["value"]
_SUMMARY_VALUE.oneofs_by_name["value"].fields.append(_SUMMARY_VALUE.fields_by_name["image"])
_SUMMARY_VALUE.fields_by_name["image"].containing_oneof = _SUMMARY_VALUE.oneofs_by_name["value"]
_SUMMARY_VALUE.oneofs_by_name["value"].fields.append(_SUMMARY_VALUE.fields_by_name["histo"])
_SUMMARY_VALUE.fields_by_name["histo"].containing_oneof = _SUMMARY_VALUE.oneofs_by_name["value"]
_SUMMARY_VALUE.oneofs_by_name["value"].fields.append(_SUMMARY_VALUE.fields_by_name["audio"])
_SUMMARY_VALUE.fields_by_name["audio"].containing_oneof = _SUMMARY_VALUE.oneofs_by_name["value"]
_SUMMARY_VALUE.oneofs_by_name["value"].fields.append(_SUMMARY_VALUE.fields_by_name["tensor"])
_SUMMARY_VALUE.fields_by_name["tensor"].containing_oneof = _SUMMARY_VALUE.oneofs_by_name["value"]
_SUMMARY.fields_by_name["value"].message_type = _SUMMARY_VALUE
DESCRIPTOR.message_types_by_name["SummaryDescription"] = _SUMMARYDESCRIPTION
DESCRIPTOR.message_types_by_name["HistogramProto"] = _HISTOGRAMPROTO
DESCRIPTOR.message_types_by_name["SummaryMetadata"] = _SUMMARYMETADATA
DESCRIPTOR.message_types_by_name["Summary"] = _SUMMARY
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
SummaryDescription = _reflection.GeneratedProtocolMessageType(
"SummaryDescription",
(_message.Message,),
dict(
DESCRIPTOR=_SUMMARYDESCRIPTION,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.SummaryDescription)
),
)
_sym_db.RegisterMessage(SummaryDescription)
HistogramProto = _reflection.GeneratedProtocolMessageType(
"HistogramProto",
(_message.Message,),
dict(
DESCRIPTOR=_HISTOGRAMPROTO,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.HistogramProto)
),
)
_sym_db.RegisterMessage(HistogramProto)
SummaryMetadata = _reflection.GeneratedProtocolMessageType(
"SummaryMetadata",
(_message.Message,),
dict(
PluginData=_reflection.GeneratedProtocolMessageType(
"PluginData",
(_message.Message,),
dict(
DESCRIPTOR=_SUMMARYMETADATA_PLUGINDATA,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.SummaryMetadata.PluginData)
),
),
DESCRIPTOR=_SUMMARYMETADATA,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.SummaryMetadata)
),
)
_sym_db.RegisterMessage(SummaryMetadata)
_sym_db.RegisterMessage(SummaryMetadata.PluginData)
Summary = _reflection.GeneratedProtocolMessageType(
"Summary",
(_message.Message,),
dict(
Image=_reflection.GeneratedProtocolMessageType(
"Image",
(_message.Message,),
dict(
DESCRIPTOR=_SUMMARY_IMAGE,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.Summary.Image)
),
),
Audio=_reflection.GeneratedProtocolMessageType(
"Audio",
(_message.Message,),
dict(
DESCRIPTOR=_SUMMARY_AUDIO,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.Summary.Audio)
),
),
Value=_reflection.GeneratedProtocolMessageType(
"Value",
(_message.Message,),
dict(
DESCRIPTOR=_SUMMARY_VALUE,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.Summary.Value)
),
),
DESCRIPTOR=_SUMMARY,
__module__="tensorboardX.src.summary_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.Summary)
),
)
_sym_db.RegisterMessage(Summary)
_sym_db.RegisterMessage(Summary.Image)
_sym_db.RegisterMessage(Summary.Audio)
_sym_db.RegisterMessage(Summary.Value)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\rSummaryProtosP\001\370\001\001")
)
_HISTOGRAMPROTO.fields_by_name["bucket_limit"].has_options = True
_HISTOGRAMPROTO.fields_by_name["bucket_limit"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_HISTOGRAMPROTO.fields_by_name["bucket"].has_options = True
_HISTOGRAMPROTO.fields_by_name["bucket"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
# @@protoc_insertion_point(module_scope)
-351
View File
@@ -1,351 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/tensor.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from tensorboardX.src import resource_handle_pb2 as tensorboardX_dot_src_dot_resource__handle__pb2
from tensorboardX.src import tensor_shape_pb2 as tensorboardX_dot_src_dot_tensor__shape__pb2
from tensorboardX.src import types_pb2 as tensorboardX_dot_src_dot_types__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/tensor.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n\x1dtensorboardX/src/tensor.proto\x12\x0btensorboard\x1a&tensorboardX/src/resource_handle.proto\x1a#tensorboardX/src/tensor_shape.proto\x1a\x1ctensorboardX/src/types.proto"\xa6\x03\n\x0bTensorProto\x12$\n\x05\x64type\x18\x01 \x01(\x0e\x32\x15.tensorboard.DataType\x12\x33\n\x0ctensor_shape\x18\x02 \x01(\x0b\x32\x1d.tensorboard.TensorShapeProto\x12\x16\n\x0eversion_number\x18\x03 \x01(\x05\x12\x16\n\x0etensor_content\x18\x04 \x01(\x0c\x12\x14\n\x08half_val\x18\r \x03(\x05\x42\x02\x10\x01\x12\x15\n\tfloat_val\x18\x05 \x03(\x02\x42\x02\x10\x01\x12\x16\n\ndouble_val\x18\x06 \x03(\x01\x42\x02\x10\x01\x12\x13\n\x07int_val\x18\x07 \x03(\x05\x42\x02\x10\x01\x12\x12\n\nstring_val\x18\x08 \x03(\x0c\x12\x18\n\x0cscomplex_val\x18\t \x03(\x02\x42\x02\x10\x01\x12\x15\n\tint64_val\x18\n \x03(\x03\x42\x02\x10\x01\x12\x14\n\x08\x62ool_val\x18\x0b \x03(\x08\x42\x02\x10\x01\x12\x18\n\x0c\x64\x63omplex_val\x18\x0c \x03(\x01\x42\x02\x10\x01\x12=\n\x13resource_handle_val\x18\x0e \x03(\x0b\x32 .tensorboard.ResourceHandleProtoB-\n\x18org.tensorflow.frameworkB\x0cTensorProtosP\x01\xf8\x01\x01\x62\x06proto3'
),
dependencies=[
tensorboardX_dot_src_dot_resource__handle__pb2.DESCRIPTOR,
tensorboardX_dot_src_dot_tensor__shape__pb2.DESCRIPTOR,
tensorboardX_dot_src_dot_types__pb2.DESCRIPTOR,
],
)
_TENSORPROTO = _descriptor.Descriptor(
name="TensorProto",
full_name="tensorboard.TensorProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="dtype",
full_name="tensorboard.TensorProto.dtype",
index=0,
number=1,
type=14,
cpp_type=8,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="tensor_shape",
full_name="tensorboard.TensorProto.tensor_shape",
index=1,
number=2,
type=11,
cpp_type=10,
label=1,
has_default_value=False,
default_value=None,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="version_number",
full_name="tensorboard.TensorProto.version_number",
index=2,
number=3,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="tensor_content",
full_name="tensorboard.TensorProto.tensor_content",
index=3,
number=4,
type=12,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b(""),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="half_val",
full_name="tensorboard.TensorProto.half_val",
index=4,
number=13,
type=5,
cpp_type=1,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="float_val",
full_name="tensorboard.TensorProto.float_val",
index=5,
number=5,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="double_val",
full_name="tensorboard.TensorProto.double_val",
index=6,
number=6,
type=1,
cpp_type=5,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="int_val",
full_name="tensorboard.TensorProto.int_val",
index=7,
number=7,
type=5,
cpp_type=1,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="string_val",
full_name="tensorboard.TensorProto.string_val",
index=8,
number=8,
type=12,
cpp_type=9,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="scomplex_val",
full_name="tensorboard.TensorProto.scomplex_val",
index=9,
number=9,
type=2,
cpp_type=6,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="int64_val",
full_name="tensorboard.TensorProto.int64_val",
index=10,
number=10,
type=3,
cpp_type=2,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="bool_val",
full_name="tensorboard.TensorProto.bool_val",
index=11,
number=11,
type=8,
cpp_type=7,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="dcomplex_val",
full_name="tensorboard.TensorProto.dcomplex_val",
index=12,
number=12,
type=1,
cpp_type=5,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b("\020\001")),
),
_descriptor.FieldDescriptor(
name="resource_handle_val",
full_name="tensorboard.TensorProto.resource_handle_val",
index=13,
number=14,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=154,
serialized_end=576,
)
_TENSORPROTO.fields_by_name["dtype"].enum_type = tensorboardX_dot_src_dot_types__pb2._DATATYPE
_TENSORPROTO.fields_by_name["tensor_shape"].message_type = tensorboardX_dot_src_dot_tensor__shape__pb2._TENSORSHAPEPROTO
_TENSORPROTO.fields_by_name[
"resource_handle_val"
].message_type = tensorboardX_dot_src_dot_resource__handle__pb2._RESOURCEHANDLEPROTO
DESCRIPTOR.message_types_by_name["TensorProto"] = _TENSORPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
TensorProto = _reflection.GeneratedProtocolMessageType(
"TensorProto",
(_message.Message,),
dict(
DESCRIPTOR=_TENSORPROTO,
__module__="tensorboardX.src.tensor_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.TensorProto)
),
)
_sym_db.RegisterMessage(TensorProto)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\014TensorProtosP\001\370\001\001")
)
_TENSORPROTO.fields_by_name["half_val"].has_options = True
_TENSORPROTO.fields_by_name["half_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_TENSORPROTO.fields_by_name["float_val"].has_options = True
_TENSORPROTO.fields_by_name["float_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_TENSORPROTO.fields_by_name["double_val"].has_options = True
_TENSORPROTO.fields_by_name["double_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_TENSORPROTO.fields_by_name["int_val"].has_options = True
_TENSORPROTO.fields_by_name["int_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_TENSORPROTO.fields_by_name["scomplex_val"].has_options = True
_TENSORPROTO.fields_by_name["scomplex_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_TENSORPROTO.fields_by_name["int64_val"].has_options = True
_TENSORPROTO.fields_by_name["int64_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_TENSORPROTO.fields_by_name["bool_val"].has_options = True
_TENSORPROTO.fields_by_name["bool_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
_TENSORPROTO.fields_by_name["dcomplex_val"].has_options = True
_TENSORPROTO.fields_by_name["dcomplex_val"]._options = _descriptor._ParseOptions(
descriptor_pb2.FieldOptions(), _b("\020\001")
)
# @@protoc_insertion_point(module_scope)
-167
View File
@@ -1,167 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/tensor_shape.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/tensor_shape.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n#tensorboardX/src/tensor_shape.proto\x12\x0btensorboard"{\n\x10TensorShapeProto\x12.\n\x03\x64im\x18\x02 \x03(\x0b\x32!.tensorboard.TensorShapeProto.Dim\x12\x14\n\x0cunknown_rank\x18\x03 \x01(\x08\x1a!\n\x03\x44im\x12\x0c\n\x04size\x18\x01 \x01(\x03\x12\x0c\n\x04name\x18\x02 \x01(\tB2\n\x18org.tensorflow.frameworkB\x11TensorShapeProtosP\x01\xf8\x01\x01\x62\x06proto3'
),
)
_TENSORSHAPEPROTO_DIM = _descriptor.Descriptor(
name="Dim",
full_name="tensorboard.TensorShapeProto.Dim",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="size",
full_name="tensorboard.TensorShapeProto.Dim.size",
index=0,
number=1,
type=3,
cpp_type=2,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="name",
full_name="tensorboard.TensorShapeProto.Dim.name",
index=1,
number=2,
type=9,
cpp_type=9,
label=1,
has_default_value=False,
default_value=_b("").decode("utf-8"),
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=142,
serialized_end=175,
)
_TENSORSHAPEPROTO = _descriptor.Descriptor(
name="TensorShapeProto",
full_name="tensorboard.TensorShapeProto",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="dim",
full_name="tensorboard.TensorShapeProto.dim",
index=0,
number=2,
type=11,
cpp_type=10,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="unknown_rank",
full_name="tensorboard.TensorShapeProto.unknown_rank",
index=1,
number=3,
type=8,
cpp_type=7,
label=1,
has_default_value=False,
default_value=False,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[_TENSORSHAPEPROTO_DIM,],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=52,
serialized_end=175,
)
_TENSORSHAPEPROTO_DIM.containing_type = _TENSORSHAPEPROTO
_TENSORSHAPEPROTO.fields_by_name["dim"].message_type = _TENSORSHAPEPROTO_DIM
DESCRIPTOR.message_types_by_name["TensorShapeProto"] = _TENSORSHAPEPROTO
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
TensorShapeProto = _reflection.GeneratedProtocolMessageType(
"TensorShapeProto",
(_message.Message,),
dict(
Dim=_reflection.GeneratedProtocolMessageType(
"Dim",
(_message.Message,),
dict(
DESCRIPTOR=_TENSORSHAPEPROTO_DIM,
__module__="tensorboardX.src.tensor_shape_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.TensorShapeProto.Dim)
),
),
DESCRIPTOR=_TENSORSHAPEPROTO,
__module__="tensorboardX.src.tensor_shape_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.TensorShapeProto)
),
)
_sym_db.RegisterMessage(TensorShapeProto)
_sym_db.RegisterMessage(TensorShapeProto.Dim)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\021TensorShapeProtosP\001\370\001\001")
)
# @@protoc_insertion_point(module_scope)
-135
View File
@@ -1,135 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/types.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import enum_type_wrapper
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/types.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
"\n\x1ctensorboardX/src/types.proto\x12\x0btensorboard*\xc2\x05\n\x08\x44\x61taType\x12\x0e\n\nDT_INVALID\x10\x00\x12\x0c\n\x08\x44T_FLOAT\x10\x01\x12\r\n\tDT_DOUBLE\x10\x02\x12\x0c\n\x08\x44T_INT32\x10\x03\x12\x0c\n\x08\x44T_UINT8\x10\x04\x12\x0c\n\x08\x44T_INT16\x10\x05\x12\x0b\n\x07\x44T_INT8\x10\x06\x12\r\n\tDT_STRING\x10\x07\x12\x10\n\x0c\x44T_COMPLEX64\x10\x08\x12\x0c\n\x08\x44T_INT64\x10\t\x12\x0b\n\x07\x44T_BOOL\x10\n\x12\x0c\n\x08\x44T_QINT8\x10\x0b\x12\r\n\tDT_QUINT8\x10\x0c\x12\r\n\tDT_QINT32\x10\r\x12\x0f\n\x0b\x44T_BFLOAT16\x10\x0e\x12\r\n\tDT_QINT16\x10\x0f\x12\x0e\n\nDT_QUINT16\x10\x10\x12\r\n\tDT_UINT16\x10\x11\x12\x11\n\rDT_COMPLEX128\x10\x12\x12\x0b\n\x07\x44T_HALF\x10\x13\x12\x0f\n\x0b\x44T_RESOURCE\x10\x14\x12\x10\n\x0c\x44T_FLOAT_REF\x10\x65\x12\x11\n\rDT_DOUBLE_REF\x10\x66\x12\x10\n\x0c\x44T_INT32_REF\x10g\x12\x10\n\x0c\x44T_UINT8_REF\x10h\x12\x10\n\x0c\x44T_INT16_REF\x10i\x12\x0f\n\x0b\x44T_INT8_REF\x10j\x12\x11\n\rDT_STRING_REF\x10k\x12\x14\n\x10\x44T_COMPLEX64_REF\x10l\x12\x10\n\x0c\x44T_INT64_REF\x10m\x12\x0f\n\x0b\x44T_BOOL_REF\x10n\x12\x10\n\x0c\x44T_QINT8_REF\x10o\x12\x11\n\rDT_QUINT8_REF\x10p\x12\x11\n\rDT_QINT32_REF\x10q\x12\x13\n\x0f\x44T_BFLOAT16_REF\x10r\x12\x11\n\rDT_QINT16_REF\x10s\x12\x12\n\x0e\x44T_QUINT16_REF\x10t\x12\x11\n\rDT_UINT16_REF\x10u\x12\x15\n\x11\x44T_COMPLEX128_REF\x10v\x12\x0f\n\x0b\x44T_HALF_REF\x10w\x12\x13\n\x0f\x44T_RESOURCE_REF\x10xB,\n\x18org.tensorflow.frameworkB\x0bTypesProtosP\x01\xf8\x01\x01\x62\x06proto3"
),
)
_DATATYPE = _descriptor.EnumDescriptor(
name="DataType",
full_name="tensorboard.DataType",
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(name="DT_INVALID", index=0, number=0, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_FLOAT", index=1, number=1, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_DOUBLE", index=2, number=2, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT32", index=3, number=3, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_UINT8", index=4, number=4, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT16", index=5, number=5, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT8", index=6, number=6, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_STRING", index=7, number=7, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_COMPLEX64", index=8, number=8, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT64", index=9, number=9, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_BOOL", index=10, number=10, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QINT8", index=11, number=11, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QUINT8", index=12, number=12, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QINT32", index=13, number=13, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_BFLOAT16", index=14, number=14, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QINT16", index=15, number=15, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QUINT16", index=16, number=16, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_UINT16", index=17, number=17, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_COMPLEX128", index=18, number=18, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_HALF", index=19, number=19, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_RESOURCE", index=20, number=20, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_FLOAT_REF", index=21, number=101, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_DOUBLE_REF", index=22, number=102, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT32_REF", index=23, number=103, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_UINT8_REF", index=24, number=104, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT16_REF", index=25, number=105, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT8_REF", index=26, number=106, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_STRING_REF", index=27, number=107, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_COMPLEX64_REF", index=28, number=108, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_INT64_REF", index=29, number=109, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_BOOL_REF", index=30, number=110, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QINT8_REF", index=31, number=111, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QUINT8_REF", index=32, number=112, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QINT32_REF", index=33, number=113, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_BFLOAT16_REF", index=34, number=114, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QINT16_REF", index=35, number=115, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_QUINT16_REF", index=36, number=116, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_UINT16_REF", index=37, number=117, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_COMPLEX128_REF", index=38, number=118, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_HALF_REF", index=39, number=119, options=None, type=None),
_descriptor.EnumValueDescriptor(name="DT_RESOURCE_REF", index=40, number=120, options=None, type=None),
],
containing_type=None,
options=None,
serialized_start=46,
serialized_end=752,
)
_sym_db.RegisterEnumDescriptor(_DATATYPE)
DataType = enum_type_wrapper.EnumTypeWrapper(_DATATYPE)
DT_INVALID = 0
DT_FLOAT = 1
DT_DOUBLE = 2
DT_INT32 = 3
DT_UINT8 = 4
DT_INT16 = 5
DT_INT8 = 6
DT_STRING = 7
DT_COMPLEX64 = 8
DT_INT64 = 9
DT_BOOL = 10
DT_QINT8 = 11
DT_QUINT8 = 12
DT_QINT32 = 13
DT_BFLOAT16 = 14
DT_QINT16 = 15
DT_QUINT16 = 16
DT_UINT16 = 17
DT_COMPLEX128 = 18
DT_HALF = 19
DT_RESOURCE = 20
DT_FLOAT_REF = 101
DT_DOUBLE_REF = 102
DT_INT32_REF = 103
DT_UINT8_REF = 104
DT_INT16_REF = 105
DT_INT8_REF = 106
DT_STRING_REF = 107
DT_COMPLEX64_REF = 108
DT_INT64_REF = 109
DT_BOOL_REF = 110
DT_QINT8_REF = 111
DT_QUINT8_REF = 112
DT_QINT32_REF = 113
DT_BFLOAT16_REF = 114
DT_QINT16_REF = 115
DT_QUINT16_REF = 116
DT_UINT16_REF = 117
DT_COMPLEX128_REF = 118
DT_HALF_REF = 119
DT_RESOURCE_REF = 120
DESCRIPTOR.enum_types_by_name["DataType"] = _DATATYPE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\013TypesProtosP\001\370\001\001")
)
# @@protoc_insertion_point(module_scope)
-118
View File
@@ -1,118 +0,0 @@
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: tensorboardX/src/versions.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pb2
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name="tensorboardX/src/versions.proto",
package="tensorboard",
syntax="proto3",
serialized_pb=_b(
'\n\x1ftensorboardX/src/versions.proto\x12\x0btensorboard"K\n\nVersionDef\x12\x10\n\x08producer\x18\x01 \x01(\x05\x12\x14\n\x0cmin_consumer\x18\x02 \x01(\x05\x12\x15\n\rbad_consumers\x18\x03 \x03(\x05\x42/\n\x18org.tensorflow.frameworkB\x0eVersionsProtosP\x01\xf8\x01\x01\x62\x06proto3'
),
)
_VERSIONDEF = _descriptor.Descriptor(
name="VersionDef",
full_name="tensorboard.VersionDef",
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name="producer",
full_name="tensorboard.VersionDef.producer",
index=0,
number=1,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="min_consumer",
full_name="tensorboard.VersionDef.min_consumer",
index=1,
number=2,
type=5,
cpp_type=1,
label=1,
has_default_value=False,
default_value=0,
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
_descriptor.FieldDescriptor(
name="bad_consumers",
full_name="tensorboard.VersionDef.bad_consumers",
index=2,
number=3,
type=5,
cpp_type=1,
label=3,
has_default_value=False,
default_value=[],
message_type=None,
enum_type=None,
containing_type=None,
is_extension=False,
extension_scope=None,
options=None,
),
],
extensions=[],
nested_types=[],
enum_types=[],
options=None,
is_extendable=False,
syntax="proto3",
extension_ranges=[],
oneofs=[],
serialized_start=48,
serialized_end=123,
)
DESCRIPTOR.message_types_by_name["VersionDef"] = _VERSIONDEF
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
VersionDef = _reflection.GeneratedProtocolMessageType(
"VersionDef",
(_message.Message,),
dict(
DESCRIPTOR=_VERSIONDEF,
__module__="tensorboardX.src.versions_pb2"
# @@protoc_insertion_point(class_scope:tensorboard.VersionDef)
),
)
_sym_db.RegisterMessage(VersionDef)
DESCRIPTOR.has_options = True
DESCRIPTOR._options = _descriptor._ParseOptions(
descriptor_pb2.FileOptions(), _b("\n\030org.tensorflow.frameworkB\016VersionsProtosP\001\370\001\001")
)
# @@protoc_insertion_point(module_scope)