path: "tensorflow.Variable" tf_class { is_instance: "" is_instance: "" is_instance: "" is_instance: "" member { name: "SaveSliceInfo" mtype: "" } member { name: "constraint" mtype: "" } member { name: "device" mtype: "" } member { name: "dtype" mtype: "" } member { name: "graph" mtype: "" } member { name: "initial_value" mtype: "" } member { name: "initializer" mtype: "" } member { name: "name" mtype: "" } member { name: "op" mtype: "" } member { name: "shape" mtype: "" } member { name: "trainable" mtype: "" } 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\', \'name\', \'read_value\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'True\'], " } member_method { name: "assign_add" argspec: "args=[\'self\', \'delta\', \'use_locking\', \'name\', \'read_value\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'True\'], " } member_method { name: "assign_sub" argspec: "args=[\'self\', \'delta\', \'use_locking\', \'name\', \'read_value\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'True\'], " } 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_add" argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " } member_method { name: "scatter_nd_add" argspec: "args=[\'self\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { name: "scatter_nd_sub" argspec: "args=[\'self\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { name: "scatter_nd_update" argspec: "args=[\'self\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { name: "scatter_sub" argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " } member_method { name: "scatter_update" argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " } 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" } }