STT-tensorflow/tensorflow/tools/api/golden/v1/tensorflow.lookup.-static-hash-table.pbtxt
Allen Lavoie 2ca698bc9a Factor out scope tracking from TrackableResource
SavedModel will need to track basically every Tensor someone might keep around. We don't really want to collect all of those with resource_tracker_scope.

Removes an incorrect warning from dataset usage.

SavedModel will still re-create everything as TrackableResources for now; we could make this distinction in the saved format if it's helpful, although I don't see a good reason for now.

PiperOrigin-RevId: 246204427
2019-05-01 16:50:47 -07:00

52 lines
1.7 KiB
Plaintext

path: "tensorflow.lookup.StaticHashTable"
tf_class {
is_instance: "<class \'tensorflow.python.ops.lookup_ops.StaticHashTableV1\'>"
is_instance: "<class \'tensorflow.python.ops.lookup_ops.StaticHashTable\'>"
is_instance: "<class \'tensorflow.python.ops.lookup_ops.InitializableLookupTableBase\'>"
is_instance: "<class \'tensorflow.python.ops.lookup_ops.LookupInterface\'>"
is_instance: "<class \'tensorflow.python.training.tracking.tracking.TrackableResource\'>"
is_instance: "<class \'tensorflow.python.training.tracking.tracking.CapturableResource\'>"
is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
is_instance: "<type \'object\'>"
member {
name: "default_value"
mtype: "<type \'property\'>"
}
member {
name: "initializer"
mtype: "<type \'property\'>"
}
member {
name: "key_dtype"
mtype: "<type \'property\'>"
}
member {
name: "name"
mtype: "<type \'property\'>"
}
member {
name: "resource_handle"
mtype: "<type \'property\'>"
}
member {
name: "value_dtype"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'initializer\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "export"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "lookup"
argspec: "args=[\'self\', \'keys\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "size"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}