1path: "tensorflow.keras.layers.Conv3DTranspose" 2tf_class { 3 is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3DTranspose\'>" 4 is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>" 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.module.module.Module\'>" 8 is_instance: "<class \'tensorflow.python.training.tracking.tracking.AutoTrackable\'>" 9 is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>" 10 is_instance: "<class \'tensorflow.python.keras.utils.version_utils.LayerVersionSelector\'>" 11 is_instance: "<type \'object\'>" 12 member { 13 name: "activity_regularizer" 14 mtype: "<type \'property\'>" 15 } 16 member { 17 name: "compute_dtype" 18 mtype: "<type \'property\'>" 19 } 20 member { 21 name: "dtype" 22 mtype: "<type \'property\'>" 23 } 24 member { 25 name: "dtype_policy" 26 mtype: "<type \'property\'>" 27 } 28 member { 29 name: "dynamic" 30 mtype: "<type \'property\'>" 31 } 32 member { 33 name: "inbound_nodes" 34 mtype: "<type \'property\'>" 35 } 36 member { 37 name: "input" 38 mtype: "<type \'property\'>" 39 } 40 member { 41 name: "input_mask" 42 mtype: "<type \'property\'>" 43 } 44 member { 45 name: "input_shape" 46 mtype: "<type \'property\'>" 47 } 48 member { 49 name: "input_spec" 50 mtype: "<type \'property\'>" 51 } 52 member { 53 name: "losses" 54 mtype: "<type \'property\'>" 55 } 56 member { 57 name: "metrics" 58 mtype: "<type \'property\'>" 59 } 60 member { 61 name: "name" 62 mtype: "<type \'property\'>" 63 } 64 member { 65 name: "name_scope" 66 mtype: "<type \'property\'>" 67 } 68 member { 69 name: "non_trainable_variables" 70 mtype: "<type \'property\'>" 71 } 72 member { 73 name: "non_trainable_weights" 74 mtype: "<type \'property\'>" 75 } 76 member { 77 name: "outbound_nodes" 78 mtype: "<type \'property\'>" 79 } 80 member { 81 name: "output" 82 mtype: "<type \'property\'>" 83 } 84 member { 85 name: "output_mask" 86 mtype: "<type \'property\'>" 87 } 88 member { 89 name: "output_shape" 90 mtype: "<type \'property\'>" 91 } 92 member { 93 name: "stateful" 94 mtype: "<type \'property\'>" 95 } 96 member { 97 name: "submodules" 98 mtype: "<type \'property\'>" 99 } 100 member { 101 name: "supports_masking" 102 mtype: "<type \'property\'>" 103 } 104 member { 105 name: "trainable" 106 mtype: "<type \'property\'>" 107 } 108 member { 109 name: "trainable_variables" 110 mtype: "<type \'property\'>" 111 } 112 member { 113 name: "trainable_weights" 114 mtype: "<type \'property\'>" 115 } 116 member { 117 name: "updates" 118 mtype: "<type \'property\'>" 119 } 120 member { 121 name: "variable_dtype" 122 mtype: "<type \'property\'>" 123 } 124 member { 125 name: "variables" 126 mtype: "<type \'property\'>" 127 } 128 member { 129 name: "weights" 130 mtype: "<type \'property\'>" 131 } 132 member_method { 133 name: "__init__" 134 argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'output_padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'None\', \'None\', \'(1, 1, 1)\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " 135 } 136 member_method { 137 name: "add_loss" 138 argspec: "args=[\'self\', \'losses\'], varargs=None, keywords=kwargs, defaults=None" 139 } 140 member_method { 141 name: "add_metric" 142 argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " 143 } 144 member_method { 145 name: "add_update" 146 argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " 147 } 148 member_method { 149 name: "add_variable" 150 argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" 151 } 152 member_method { 153 name: "add_weight" 154 argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], " 155 } 156 member_method { 157 name: "apply" 158 argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" 159 } 160 member_method { 161 name: "build" 162 argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" 163 } 164 member_method { 165 name: "call" 166 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 167 } 168 member_method { 169 name: "compute_mask" 170 argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " 171 } 172 member_method { 173 name: "compute_output_shape" 174 argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" 175 } 176 member_method { 177 name: "compute_output_signature" 178 argspec: "args=[\'self\', \'input_signature\'], varargs=None, keywords=None, defaults=None" 179 } 180 member_method { 181 name: "count_params" 182 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 183 } 184 member_method { 185 name: "from_config" 186 argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" 187 } 188 member_method { 189 name: "get_config" 190 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 191 } 192 member_method { 193 name: "get_input_at" 194 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 195 } 196 member_method { 197 name: "get_input_mask_at" 198 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 199 } 200 member_method { 201 name: "get_input_shape_at" 202 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 203 } 204 member_method { 205 name: "get_losses_for" 206 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 207 } 208 member_method { 209 name: "get_output_at" 210 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 211 } 212 member_method { 213 name: "get_output_mask_at" 214 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 215 } 216 member_method { 217 name: "get_output_shape_at" 218 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 219 } 220 member_method { 221 name: "get_updates_for" 222 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 223 } 224 member_method { 225 name: "get_weights" 226 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 227 } 228 member_method { 229 name: "set_weights" 230 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" 231 } 232 member_method { 233 name: "with_name_scope" 234 argspec: "args=[\'cls\', \'method\'], varargs=None, keywords=None, defaults=None" 235 } 236} 237