1path: "tensorflow.data.experimental.SqlDataset" 2tf_class { 3 is_instance: "<class \'tensorflow.python.data.experimental.ops.readers.SqlDatasetV1\'>" 4 is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.DatasetV1Adapter\'>" 5 is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.DatasetV1\'>" 6 is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.DatasetV2\'>" 7 is_instance: "<class \'collections.abc.Iterable\'>" 8 member { 9 name: "element_spec" 10 mtype: "<type \'property\'>" 11 } 12 member { 13 name: "output_classes" 14 mtype: "<type \'property\'>" 15 } 16 member { 17 name: "output_shapes" 18 mtype: "<type \'property\'>" 19 } 20 member { 21 name: "output_types" 22 mtype: "<type \'property\'>" 23 } 24 member_method { 25 name: "__init__" 26 argspec: "args=[\'self\', \'driver_name\', \'data_source_name\', \'query\', \'output_types\'], varargs=None, keywords=None, defaults=None" 27 } 28 member_method { 29 name: "apply" 30 argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None" 31 } 32 member_method { 33 name: "as_numpy_iterator" 34 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 35 } 36 member_method { 37 name: "batch" 38 argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " 39 } 40 member_method { 41 name: "cache" 42 argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], " 43 } 44 member_method { 45 name: "cardinality" 46 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 47 } 48 member_method { 49 name: "concatenate" 50 argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None" 51 } 52 member_method { 53 name: "enumerate" 54 argspec: "args=[\'self\', \'start\'], varargs=None, keywords=None, defaults=[\'0\'], " 55 } 56 member_method { 57 name: "filter" 58 argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None" 59 } 60 member_method { 61 name: "filter_with_legacy_function" 62 argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None" 63 } 64 member_method { 65 name: "flat_map" 66 argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None" 67 } 68 member_method { 69 name: "from_generator" 70 argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\', \'output_signature\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " 71 } 72 member_method { 73 name: "from_sparse_tensor_slices" 74 argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None" 75 } 76 member_method { 77 name: "from_tensor_slices" 78 argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" 79 } 80 member_method { 81 name: "from_tensors" 82 argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" 83 } 84 member_method { 85 name: "interleave" 86 argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\', \'num_parallel_calls\', \'deterministic\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " 87 } 88 member_method { 89 name: "list_files" 90 argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 91 } 92 member_method { 93 name: "make_initializable_iterator" 94 argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], " 95 } 96 member_method { 97 name: "make_one_shot_iterator" 98 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 99 } 100 member_method { 101 name: "map" 102 argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\', \'deterministic\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 103 } 104 member_method { 105 name: "map_with_legacy_function" 106 argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\', \'deterministic\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 107 } 108 member_method { 109 name: "options" 110 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 111 } 112 member_method { 113 name: "padded_batch" 114 argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\'], " 115 } 116 member_method { 117 name: "prefetch" 118 argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None" 119 } 120 member_method { 121 name: "range" 122 argspec: "args=[], varargs=args, keywords=kwargs, defaults=None" 123 } 124 member_method { 125 name: "reduce" 126 argspec: "args=[\'self\', \'initial_state\', \'reduce_func\'], varargs=None, keywords=None, defaults=None" 127 } 128 member_method { 129 name: "repeat" 130 argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], " 131 } 132 member_method { 133 name: "shard" 134 argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None" 135 } 136 member_method { 137 name: "shuffle" 138 argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 139 } 140 member_method { 141 name: "skip" 142 argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" 143 } 144 member_method { 145 name: "take" 146 argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" 147 } 148 member_method { 149 name: "unbatch" 150 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 151 } 152 member_method { 153 name: "window" 154 argspec: "args=[\'self\', \'size\', \'shift\', \'stride\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'False\'], " 155 } 156 member_method { 157 name: "with_options" 158 argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None" 159 } 160 member_method { 161 name: "zip" 162 argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None" 163 } 164} 165