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path: "tensorflow.Variable"
tf_class {
is_instance: "<class \'tensorflow.python.ops.variables.Variable\'>"
is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
is_instance: "<type \'object\'>"
member {
name: "SaveSliceInfo"
mtype: "<type \'type\'>"
}
member {
name: "constraint"
mtype: "<type \'property\'>"
}
member {
name: "device"
mtype: "<type \'property\'>"
}
member {
name: "dtype"
mtype: "<type \'property\'>"
}
member {
name: "graph"
mtype: "<type \'property\'>"
}
member {
name: "initial_value"
mtype: "<type \'property\'>"
}
member {
name: "initializer"
mtype: "<type \'property\'>"
}
member {
name: "name"
mtype: "<type \'property\'>"
}
member {
name: "op"
mtype: "<type \'property\'>"
}
member {
name: "shape"
mtype: "<type \'property\'>"
}
member {
name: "trainable"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'initial_value\', \'trainable\', \'collections\', \'validate_shape\', \'caching_device\', \'name\', \'variable_def\', \'dtype\', \'expected_shape\', \'import_scope\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
}
member_method {
name: "assign"
argspec: "args=[\'self\', \'value\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "assign_add"
argspec: "args=[\'self\', \'delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "assign_sub"
argspec: "args=[\'self\', \'delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "count_up_to"
argspec: "args=[\'self\', \'limit\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "eval"
argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "from_proto"
argspec: "args=[\'variable_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_shape"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "initialized_value"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "load"
argspec: "args=[\'self\', \'value\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "read_value"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "scatter_sub"
argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "set_shape"
argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "to_proto"
argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "value"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
}
|
