1 path: "tensorflow.keras.layers.DepthwiseConv2D" 2 tf_class { 3 is_instance: "<class \'tensorflow.python.keras.layers.convolutional.DepthwiseConv2D\'>" 4 is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" 5 is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" 6 is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" 7 is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>" 8 is_instance: "<type \'object\'>" 9 member { 10 name: "activity_regularizer" 11 mtype: "<type \'property\'>" 12 } 13 member { 14 name: "dtype" 15 mtype: "<type \'property\'>" 16 } 17 member { 18 name: "dynamic" 19 mtype: "<type \'property\'>" 20 } 21 member { 22 name: "inbound_nodes" 23 mtype: "<type \'property\'>" 24 } 25 member { 26 name: "input" 27 mtype: "<type \'property\'>" 28 } 29 member { 30 name: "input_mask" 31 mtype: "<type \'property\'>" 32 } 33 member { 34 name: "input_shape" 35 mtype: "<type \'property\'>" 36 } 37 member { 38 name: "losses" 39 mtype: "<type \'property\'>" 40 } 41 member { 42 name: "name" 43 mtype: "<type \'property\'>" 44 } 45 member { 46 name: "non_trainable_variables" 47 mtype: "<type \'property\'>" 48 } 49 member { 50 name: "non_trainable_weights" 51 mtype: "<type \'property\'>" 52 } 53 member { 54 name: "outbound_nodes" 55 mtype: "<type \'property\'>" 56 } 57 member { 58 name: "output" 59 mtype: "<type \'property\'>" 60 } 61 member { 62 name: "output_mask" 63 mtype: "<type \'property\'>" 64 } 65 member { 66 name: "output_shape" 67 mtype: "<type \'property\'>" 68 } 69 member { 70 name: "trainable_variables" 71 mtype: "<type \'property\'>" 72 } 73 member { 74 name: "trainable_weights" 75 mtype: "<type \'property\'>" 76 } 77 member { 78 name: "updates" 79 mtype: "<type \'property\'>" 80 } 81 member { 82 name: "variables" 83 mtype: "<type \'property\'>" 84 } 85 member { 86 name: "weights" 87 mtype: "<type \'property\'>" 88 } 89 member_method { 90 name: "__init__" 91 argspec: "args=[\'self\', \'kernel_size\', \'strides\', \'padding\', \'depth_multiplier\', \'data_format\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'1\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " 92 } 93 member_method { 94 name: "add_loss" 95 argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " 96 } 97 member_method { 98 name: "add_metric" 99 argspec: "args=[\'self\', \'value\', \'aggregation\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 100 } 101 member_method { 102 name: "add_update" 103 argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " 104 } 105 member_method { 106 name: "add_variable" 107 argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" 108 } 109 member_method { 110 name: "add_weight" 111 argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], " 112 } 113 member_method { 114 name: "apply" 115 argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" 116 } 117 member_method { 118 name: "build" 119 argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" 120 } 121 member_method { 122 name: "call" 123 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 124 } 125 member_method { 126 name: "compute_mask" 127 argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " 128 } 129 member_method { 130 name: "compute_output_shape" 131 argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" 132 } 133 member_method { 134 name: "count_params" 135 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 136 } 137 member_method { 138 name: "from_config" 139 argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 140 } 141 member_method { 142 name: "get_config" 143 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 144 } 145 member_method { 146 name: "get_input_at" 147 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 148 } 149 member_method { 150 name: "get_input_mask_at" 151 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 152 } 153 member_method { 154 name: "get_input_shape_at" 155 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 156 } 157 member_method { 158 name: "get_losses_for" 159 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 160 } 161 member_method { 162 name: "get_output_at" 163 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 164 } 165 member_method { 166 name: "get_output_mask_at" 167 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 168 } 169 member_method { 170 name: "get_output_shape_at" 171 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 172 } 173 member_method { 174 name: "get_updates_for" 175 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 176 } 177 member_method { 178 name: "get_weights" 179 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 180 } 181 member_method { 182 name: "set_weights" 183 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" 184 } 185 } 186
