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update training code

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zhangmozhe
2020-12-21 23:17:29 +08:00
parent a93d050dd1
commit 875e222242
56 changed files with 6891 additions and 215 deletions
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tensorboardX/src/__init__.py
View File
tensorboardX/src/attr_value_pb2.py
+372
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@@ -0,0 +1,372 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/event_pb2.py
+376
View File
@@ -0,0 +1,376 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/graph_pb2.py
+92
View File
@@ -0,0 +1,92 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/node_def_pb2.py
+151
View File
@@ -0,0 +1,151 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/plugin_pr_curve_pb2.py
+76
View File
@@ -0,0 +1,76 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/resource_handle_pb2.py
+99
View File
@@ -0,0 +1,99 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/summary_pb2.py
+532
View File
@@ -0,0 +1,532 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/tensor_pb2.py
+185
View File
@@ -0,0 +1,185 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/tensor_shape_pb2.py
+125
View File
@@ -0,0 +1,125 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)
tensorboardX/src/types_pb2.py
+254
View File
@@ -0,0 +1,254 @@
# 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.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
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 import descriptor_pb2
# @@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)
tensorboardX/src/versions_pb2.py
+85
View File
@@ -0,0 +1,85 @@
# 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 message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@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)