backend | | default: "tensorflow" |
class_name | | default: "Functional" |
config | | default: {"input_layers": [["input_3", 0, 0]], "name": "model_1", "output_layers": [["dense_3", 0, 0]], "trainable": true} |
layer000_input_3 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "input_3", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_3", "registered_name": null} |
layer001_rescaling_1 | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "Rescaling", "config": {"dtype": "float32", "name": "rescaling_1", "offset": -1.0, "scale": 0.00784313725490196, "trainable": false}, "inbound_nodes": [[["input_3", 0, 0, {}]]], "module": "keras.layers", "name": "rescaling_1", "registered_name": null} |
layer002_Conv | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["rescaling_1", 0, 0, {}]]], "module": "keras.layers", "name": "Conv", "registered_name": null} |
layer003_Conv_BatchNorm | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["Conv", 0, 0, {}]]], "module": "keras.layers", "name": "Conv/BatchNorm", "registered_name": null} |
layer004_tf.__operators__.add_28 | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_28", "trainable": false}, "inbound_nodes": [["Conv/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_28", "registered_name": "TFOpLambda"} |
layer005_re_lu_39 | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_39", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_28", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_39", "registered_name": null} |
layer006_tf.math.multiply_28 | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_28", "trainable": false}, "inbound_nodes": [["re_lu_39", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_28", "registered_name": "TFOpLambda"} |
layer007_multiply_20 | | default: {"build_config": {"input_shape": [[null, 64, 64, 16], [null, 64, 64, 16]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_20", "trainable": false}, "inbound_nodes": [[["Conv/BatchNorm", 0, 0, {}], ["tf.math.multiply_28", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_20", "registered_name": null} |
layer008_expanded_conv_depthwise | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_20", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise", "registered_name": null} |
layer009_expanded_conv_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise/BatchNorm", "registered_name": null} |
layer010_re_lu_40 | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_40", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_40", "registered_name": null} |
layer011_expanded_conv_project | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_40", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project", "registered_name": null} |
layer012_expanded_conv_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project/BatchNorm", "registered_name": null} |
layer013_expanded_conv_Add | | default: {"build_config": {"input_shape": [[null, 64, 64, 16], [null, 64, 64, 16]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv/Add", "trainable": false}, "inbound_nodes": [[["multiply_20", 0, 0, {}], ["expanded_conv/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/Add", "registered_name": null} |
layer014_expanded_conv_1_expand | | default: {"build_config": {"input_shape": [null, 64, 64, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/expand", "registered_name": null} |
layer015_expanded_conv_1_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/expand/BatchNorm", "registered_name": null} |
layer016_re_lu_41 | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_41", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_41", "registered_name": null} |
layer017_expanded_conv_1_depthwise_pad | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_1/depthwise/pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["re_lu_41", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise/pad", "registered_name": null} |
layer018_expanded_conv_1_depthwise | | default: {"build_config": {"input_shape": [null, 65, 65, 64]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_1/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise", "registered_name": null} |
layer019_expanded_conv_1_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise/BatchNorm", "registered_name": null} |
layer020_re_lu_42 | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_42", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_42", "registered_name": null} |
layer021_expanded_conv_1_project | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_42", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/project", "registered_name": null} |
layer022_expanded_conv_1_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 32, 32, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/project/BatchNorm", "registered_name": null} |
layer023_expanded_conv_2_expand | | default: {"build_config": {"input_shape": [null, 32, 32, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_1/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/expand", "registered_name": null} |
layer024_expanded_conv_2_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/expand/BatchNorm", "registered_name": null} |
layer025_re_lu_43 | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_43", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_43", "registered_name": null} |
layer026_expanded_conv_2_depthwise | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_43", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/depthwise", "registered_name": null} |
layer027_expanded_conv_2_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/depthwise/BatchNorm", "registered_name": null} |
layer028_re_lu_44 | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_44", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_44", "registered_name": null} |
layer029_expanded_conv_2_project | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_44", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/project", "registered_name": null} |
layer030_expanded_conv_2_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 32, 32, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/project/BatchNorm", "registered_name": null} |
layer031_expanded_conv_2_Add | | default: {"build_config": {"input_shape": [[null, 32, 32, 24], [null, 32, 32, 24]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_2/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_1/project/BatchNorm", 0, 0, {}], ["expanded_conv_2/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/Add", "registered_name": null} |
layer032_expanded_conv_3_expand | | default: {"build_config": {"input_shape": [null, 32, 32, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_2/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/expand", "registered_name": null} |
layer033_expanded_conv_3_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/expand/BatchNorm", "registered_name": null} |
layer034_re_lu_45 | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_45", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_45", "registered_name": null} |
layer035_expanded_conv_3_depthwise_pad | | default: {"build_config": {"input_shape": [null, 32, 32, 72]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_3/depthwise/pad", "padding": [[1, 2], [1, 2]], "trainable": false}, "inbound_nodes": [[["re_lu_45", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise/pad", "registered_name": null} |
layer036_expanded_conv_3_depthwise | | default: {"build_config": {"input_shape": [null, 35, 35, 72]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise", "registered_name": null} |
layer037_expanded_conv_3_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise/BatchNorm", "registered_name": null} |
layer038_re_lu_46 | | default: {"build_config": {"input_shape": [null, 16, 16, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_46", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_46", "registered_name": null} |
layer039_expanded_conv_3_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 16, 16, 72]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_3/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_46", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/AvgPool", "registered_name": null} |
layer040_expanded_conv_3_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Conv", "registered_name": null} |
layer041_expanded_conv_3_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 24]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_3/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Relu", "registered_name": null} |
layer042_expanded_conv_3_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Conv_1", "registered_name": null} |
layer043_tf.__operators__.add_29 | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_29", "trainable": false}, "inbound_nodes": [["expanded_conv_3/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_29", "registered_name": "TFOpLambda"} |
layer044_re_lu_47 | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_47", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_29", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_47", "registered_name": null} |
layer045_tf.math.multiply_29 | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_29", "trainable": false}, "inbound_nodes": [["re_lu_47", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_29", "registered_name": "TFOpLambda"} |
layer046_expanded_conv_3_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 16, 16, 72], [null, 1, 1, 72]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_3/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_46", 0, 0, {}], ["tf.math.multiply_29", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Mul", "registered_name": null} |
layer047_expanded_conv_3_project | | default: {"build_config": {"input_shape": [null, 16, 16, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/project", "registered_name": null} |
layer048_expanded_conv_3_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 40]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/project/BatchNorm", "registered_name": null} |
layer049_expanded_conv_4_expand | | default: {"build_config": {"input_shape": [null, 16, 16, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/expand", "registered_name": null} |
layer050_expanded_conv_4_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/expand/BatchNorm", "registered_name": null} |
layer051_re_lu_48 | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_48", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_48", "registered_name": null} |
layer052_expanded_conv_4_depthwise | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_48", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/depthwise", "registered_name": null} |
layer053_expanded_conv_4_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/depthwise/BatchNorm", "registered_name": null} |
layer054_re_lu_49 | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_49", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_49", "registered_name": null} |
layer055_expanded_conv_4_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_4/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_49", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/AvgPool", "registered_name": null} |
layer056_expanded_conv_4_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Conv", "registered_name": null} |
layer057_expanded_conv_4_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_4/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Relu", "registered_name": null} |
layer058_expanded_conv_4_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Conv_1", "registered_name": null} |
layer059_tf.__operators__.add_30 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_30", "trainable": false}, "inbound_nodes": [["expanded_conv_4/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_30", "registered_name": "TFOpLambda"} |
layer060_re_lu_50 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_50", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_30", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_50", "registered_name": null} |
layer061_tf.math.multiply_30 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_30", "trainable": false}, "inbound_nodes": [["re_lu_50", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_30", "registered_name": "TFOpLambda"} |
layer062_expanded_conv_4_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 16, 16, 120], [null, 1, 1, 120]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_4/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_49", 0, 0, {}], ["tf.math.multiply_30", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Mul", "registered_name": null} |
layer063_expanded_conv_4_project | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/project", "registered_name": null} |
layer064_expanded_conv_4_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 40]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/project/BatchNorm", "registered_name": null} |
layer065_expanded_conv_4_Add | | default: {"build_config": {"input_shape": [[null, 16, 16, 40], [null, 16, 16, 40]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_4/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_3/project/BatchNorm", 0, 0, {}], ["expanded_conv_4/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/Add", "registered_name": null} |
layer066_expanded_conv_5_expand | | default: {"build_config": {"input_shape": [null, 16, 16, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/expand", "registered_name": null} |
layer067_expanded_conv_5_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_5/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/expand/BatchNorm", "registered_name": null} |
layer068_re_lu_51 | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_51", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_5/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_51", "registered_name": null} |
layer069_expanded_conv_5_depthwise | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_51", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/depthwise", "registered_name": null} |
layer070_expanded_conv_5_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_5/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/depthwise/BatchNorm", "registered_name": null} |
layer071_re_lu_52 | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_52", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_5/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_52", "registered_name": null} |
layer072_expanded_conv_5_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_5/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_52", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/AvgPool", "registered_name": null} |
layer073_expanded_conv_5_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Conv", "registered_name": null} |
layer074_expanded_conv_5_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_5/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_5/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Relu", "registered_name": null} |
layer075_expanded_conv_5_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Conv_1", "registered_name": null} |
layer076_tf.__operators__.add_31 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_31", "trainable": false}, "inbound_nodes": [["expanded_conv_5/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_31", "registered_name": "TFOpLambda"} |
layer077_re_lu_53 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_53", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_31", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_53", "registered_name": null} |
layer078_tf.math.multiply_31 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_31", "trainable": false}, "inbound_nodes": [["re_lu_53", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_31", "registered_name": "TFOpLambda"} |
layer079_expanded_conv_5_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 16, 16, 120], [null, 1, 1, 120]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_5/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_52", 0, 0, {}], ["tf.math.multiply_31", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Mul", "registered_name": null} |
layer080_expanded_conv_5_project | | default: {"build_config": {"input_shape": [null, 16, 16, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/project", "registered_name": null} |
layer081_expanded_conv_5_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 40]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_5/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/project/BatchNorm", "registered_name": null} |
layer082_expanded_conv_5_Add | | default: {"build_config": {"input_shape": [[null, 16, 16, 40], [null, 16, 16, 40]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_5/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_4/Add", 0, 0, {}], ["expanded_conv_5/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/Add", "registered_name": null} |
layer083_expanded_conv_6_expand | | default: {"build_config": {"input_shape": [null, 16, 16, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/expand", "registered_name": null} |
layer084_expanded_conv_6_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 16, 16, 240]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_6/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/expand/BatchNorm", "registered_name": null} |
layer085_tf.__operators__.add_32 | | default: {"build_config": {"input_shape": [null, 16, 16, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_32", "trainable": false}, "inbound_nodes": [["expanded_conv_6/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_32", "registered_name": "TFOpLambda"} |
layer086_re_lu_54 | | default: {"build_config": {"input_shape": [null, 16, 16, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_54", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_32", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_54", "registered_name": null} |
layer087_tf.math.multiply_32 | | default: {"build_config": {"input_shape": [null, 16, 16, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_32", "trainable": false}, "inbound_nodes": [["re_lu_54", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_32", "registered_name": "TFOpLambda"} |
layer088_multiply_21 | | default: {"build_config": {"input_shape": [[null, 16, 16, 240], [null, 16, 16, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_21", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_32", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_21", "registered_name": null} |
layer089_expanded_conv_6_depthwise_pad | | default: {"build_config": {"input_shape": [null, 16, 16, 240]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_6/depthwise/pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["multiply_21", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/depthwise/pad", "registered_name": null} |
layer090_expanded_conv_6_depthwise | | default: {"build_config": {"input_shape": [null, 17, 17, 240]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_6/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/depthwise", "registered_name": null} |
layer091_expanded_conv_6_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 240]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_6/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/depthwise/BatchNorm", "registered_name": null} |
layer092_tf.__operators__.add_33 | | default: {"build_config": {"input_shape": [null, 8, 8, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_33", "trainable": false}, "inbound_nodes": [["expanded_conv_6/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_33", "registered_name": "TFOpLambda"} |
layer093_re_lu_55 | | default: {"build_config": {"input_shape": [null, 8, 8, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_55", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_33", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_55", "registered_name": null} |
layer094_tf.math.multiply_33 | | default: {"build_config": {"input_shape": [null, 8, 8, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_33", "trainable": false}, "inbound_nodes": [["re_lu_55", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_33", "registered_name": "TFOpLambda"} |
layer095_multiply_22 | | default: {"build_config": {"input_shape": [[null, 8, 8, 240], [null, 8, 8, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_22", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_33", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_22", "registered_name": null} |
layer096_expanded_conv_6_project | | default: {"build_config": {"input_shape": [null, 8, 8, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_22", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/project", "registered_name": null} |
layer097_expanded_conv_6_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_6/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/project/BatchNorm", "registered_name": null} |
layer098_expanded_conv_7_expand | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_6/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/expand", "registered_name": null} |
layer099_expanded_conv_7_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_7/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/expand/BatchNorm", "registered_name": null} |
layer100_tf.__operators__.add_34 | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_34", "trainable": false}, "inbound_nodes": [["expanded_conv_7/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_34", "registered_name": "TFOpLambda"} |
layer101_re_lu_56 | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_56", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_34", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_56", "registered_name": null} |
layer102_tf.math.multiply_34 | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_34", "trainable": false}, "inbound_nodes": [["re_lu_56", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_34", "registered_name": "TFOpLambda"} |
layer103_multiply_23 | | default: {"build_config": {"input_shape": [[null, 8, 8, 200], [null, 8, 8, 200]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_23", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_34", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_23", "registered_name": null} |
layer104_expanded_conv_7_depthwise | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_23", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/depthwise", "registered_name": null} |
layer105_expanded_conv_7_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_7/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/depthwise/BatchNorm", "registered_name": null} |
layer106_tf.__operators__.add_35 | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_35", "trainable": false}, "inbound_nodes": [["expanded_conv_7/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_35", "registered_name": "TFOpLambda"} |
layer107_re_lu_57 | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_57", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_35", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_57", "registered_name": null} |
layer108_tf.math.multiply_35 | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_35", "trainable": false}, "inbound_nodes": [["re_lu_57", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_35", "registered_name": "TFOpLambda"} |
layer109_multiply_24 | | default: {"build_config": {"input_shape": [[null, 8, 8, 200], [null, 8, 8, 200]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_24", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_35", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_24", "registered_name": null} |
layer110_expanded_conv_7_project | | default: {"build_config": {"input_shape": [null, 8, 8, 200]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_24", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/project", "registered_name": null} |
layer111_expanded_conv_7_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_7/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/project/BatchNorm", "registered_name": null} |
layer112_expanded_conv_7_Add | | default: {"build_config": {"input_shape": [[null, 8, 8, 80], [null, 8, 8, 80]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_7/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/project/BatchNorm", 0, 0, {}], ["expanded_conv_7/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/Add", "registered_name": null} |
layer113_expanded_conv_8_expand | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_7/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/expand", "registered_name": null} |
layer114_expanded_conv_8_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_8/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/expand/BatchNorm", "registered_name": null} |
layer115_tf.__operators__.add_36 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_36", "trainable": false}, "inbound_nodes": [["expanded_conv_8/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_36", "registered_name": "TFOpLambda"} |
layer116_re_lu_58 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_58", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_36", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_58", "registered_name": null} |
layer117_tf.math.multiply_36 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_36", "trainable": false}, "inbound_nodes": [["re_lu_58", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_36", "registered_name": "TFOpLambda"} |
layer118_multiply_25 | | default: {"build_config": {"input_shape": [[null, 8, 8, 184], [null, 8, 8, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_25", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_36", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_25", "registered_name": null} |
layer119_expanded_conv_8_depthwise | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_25", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/depthwise", "registered_name": null} |
layer120_expanded_conv_8_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_8/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/depthwise/BatchNorm", "registered_name": null} |
layer121_tf.__operators__.add_37 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_37", "trainable": false}, "inbound_nodes": [["expanded_conv_8/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_37", "registered_name": "TFOpLambda"} |
layer122_re_lu_59 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_59", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_37", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_59", "registered_name": null} |
layer123_tf.math.multiply_37 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_37", "trainable": false}, "inbound_nodes": [["re_lu_59", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_37", "registered_name": "TFOpLambda"} |
layer124_multiply_26 | | default: {"build_config": {"input_shape": [[null, 8, 8, 184], [null, 8, 8, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_26", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_37", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_26", "registered_name": null} |
layer125_expanded_conv_8_project | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_26", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/project", "registered_name": null} |
layer126_expanded_conv_8_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_8/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/project/BatchNorm", "registered_name": null} |
layer127_expanded_conv_8_Add | | default: {"build_config": {"input_shape": [[null, 8, 8, 80], [null, 8, 8, 80]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_8/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/Add", 0, 0, {}], ["expanded_conv_8/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/Add", "registered_name": null} |
layer128_expanded_conv_9_expand | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_8/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/expand", "registered_name": null} |
layer129_expanded_conv_9_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_9/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/expand/BatchNorm", "registered_name": null} |
layer130_tf.__operators__.add_38 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_38", "trainable": false}, "inbound_nodes": [["expanded_conv_9/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_38", "registered_name": "TFOpLambda"} |
layer131_re_lu_60 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_60", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_38", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_60", "registered_name": null} |
layer132_tf.math.multiply_38 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_38", "trainable": false}, "inbound_nodes": [["re_lu_60", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_38", "registered_name": "TFOpLambda"} |
layer133_multiply_27 | | default: {"build_config": {"input_shape": [[null, 8, 8, 184], [null, 8, 8, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_27", "trainable": false}, "inbound_nodes": [[["expanded_conv_9/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_38", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_27", "registered_name": null} |
layer134_expanded_conv_9_depthwise | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_27", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/depthwise", "registered_name": null} |
layer135_expanded_conv_9_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_9/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/depthwise/BatchNorm", "registered_name": null} |
layer136_tf.__operators__.add_39 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_39", "trainable": false}, "inbound_nodes": [["expanded_conv_9/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_39", "registered_name": "TFOpLambda"} |
layer137_re_lu_61 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_61", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_39", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_61", "registered_name": null} |
layer138_tf.math.multiply_39 | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_39", "trainable": false}, "inbound_nodes": [["re_lu_61", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_39", "registered_name": "TFOpLambda"} |
layer139_multiply_28 | | default: {"build_config": {"input_shape": [[null, 8, 8, 184], [null, 8, 8, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_28", "trainable": false}, "inbound_nodes": [[["expanded_conv_9/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_39", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_28", "registered_name": null} |
layer140_expanded_conv_9_project | | default: {"build_config": {"input_shape": [null, 8, 8, 184]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_28", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/project", "registered_name": null} |
layer141_expanded_conv_9_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_9/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/project/BatchNorm", "registered_name": null} |
layer142_expanded_conv_9_Add | | default: {"build_config": {"input_shape": [[null, 8, 8, 80], [null, 8, 8, 80]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_9/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/Add", 0, 0, {}], ["expanded_conv_9/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/Add", "registered_name": null} |
layer143_expanded_conv_10_expand | | default: {"build_config": {"input_shape": [null, 8, 8, 80]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_9/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/expand", "registered_name": null} |
layer144_expanded_conv_10_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_10/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/expand/BatchNorm", "registered_name": null} |
layer145_tf.__operators__.add_40 | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_40", "trainable": false}, "inbound_nodes": [["expanded_conv_10/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_40", "registered_name": "TFOpLambda"} |
layer146_re_lu_62 | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_62", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_40", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_62", "registered_name": null} |
layer147_tf.math.multiply_40 | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_40", "trainable": false}, "inbound_nodes": [["re_lu_62", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_40", "registered_name": "TFOpLambda"} |
layer148_multiply_29 | | default: {"build_config": {"input_shape": [[null, 8, 8, 480], [null, 8, 8, 480]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_29", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_40", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_29", "registered_name": null} |
layer149_expanded_conv_10_depthwise | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_29", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/depthwise", "registered_name": null} |
layer150_expanded_conv_10_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_10/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/depthwise/BatchNorm", "registered_name": null} |
layer151_tf.__operators__.add_41 | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_41", "trainable": false}, "inbound_nodes": [["expanded_conv_10/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_41", "registered_name": "TFOpLambda"} |
layer152_re_lu_63 | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_63", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_41", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_63", "registered_name": null} |
layer153_tf.math.multiply_41 | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_41", "trainable": false}, "inbound_nodes": [["re_lu_63", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_41", "registered_name": "TFOpLambda"} |
layer154_multiply_30 | | default: {"build_config": {"input_shape": [[null, 8, 8, 480], [null, 8, 8, 480]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_30", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_41", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_30", "registered_name": null} |
layer155_expanded_conv_10_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_10/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_30", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/AvgPool", "registered_name": null} |
layer156_expanded_conv_10_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Conv", "registered_name": null} |
layer157_expanded_conv_10_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_10/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_10/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Relu", "registered_name": null} |
layer158_expanded_conv_10_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Conv_1", "registered_name": null} |
layer159_tf.__operators__.add_42 | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_42", "trainable": false}, "inbound_nodes": [["expanded_conv_10/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_42", "registered_name": "TFOpLambda"} |
layer160_re_lu_64 | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_64", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_42", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_64", "registered_name": null} |
layer161_tf.math.multiply_42 | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_42", "trainable": false}, "inbound_nodes": [["re_lu_64", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_42", "registered_name": "TFOpLambda"} |
layer162_expanded_conv_10_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 8, 8, 480], [null, 1, 1, 480]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_10/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_30", 0, 0, {}], ["tf.math.multiply_42", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Mul", "registered_name": null} |
layer163_expanded_conv_10_project | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/project", "registered_name": null} |
layer164_expanded_conv_10_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 112]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_10/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/project/BatchNorm", "registered_name": null} |
layer165_expanded_conv_11_expand | | default: {"build_config": {"input_shape": [null, 8, 8, 112]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/expand", "registered_name": null} |
layer166_expanded_conv_11_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_11/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/expand/BatchNorm", "registered_name": null} |
layer167_tf.__operators__.add_43 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_43", "trainable": false}, "inbound_nodes": [["expanded_conv_11/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_43", "registered_name": "TFOpLambda"} |
layer168_re_lu_65 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_65", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_43", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_65", "registered_name": null} |
layer169_tf.math.multiply_43 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_43", "trainable": false}, "inbound_nodes": [["re_lu_65", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_43", "registered_name": "TFOpLambda"} |
layer170_multiply_31 | | default: {"build_config": {"input_shape": [[null, 8, 8, 672], [null, 8, 8, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_31", "trainable": false}, "inbound_nodes": [[["expanded_conv_11/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_43", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_31", "registered_name": null} |
layer171_expanded_conv_11_depthwise | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_31", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/depthwise", "registered_name": null} |
layer172_expanded_conv_11_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_11/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/depthwise/BatchNorm", "registered_name": null} |
layer173_tf.__operators__.add_44 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_44", "trainable": false}, "inbound_nodes": [["expanded_conv_11/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_44", "registered_name": "TFOpLambda"} |
layer174_re_lu_66 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_66", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_44", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_66", "registered_name": null} |
layer175_tf.math.multiply_44 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_44", "trainable": false}, "inbound_nodes": [["re_lu_66", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_44", "registered_name": "TFOpLambda"} |
layer176_multiply_32 | | default: {"build_config": {"input_shape": [[null, 8, 8, 672], [null, 8, 8, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_32", "trainable": false}, "inbound_nodes": [[["expanded_conv_11/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_44", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_32", "registered_name": null} |
layer177_expanded_conv_11_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_11/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_32", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/AvgPool", "registered_name": null} |
layer178_expanded_conv_11_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Conv", "registered_name": null} |
layer179_expanded_conv_11_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_11/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_11/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Relu", "registered_name": null} |
layer180_expanded_conv_11_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Conv_1", "registered_name": null} |
layer181_tf.__operators__.add_45 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_45", "trainable": false}, "inbound_nodes": [["expanded_conv_11/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_45", "registered_name": "TFOpLambda"} |
layer182_re_lu_67 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_67", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_45", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_67", "registered_name": null} |
layer183_tf.math.multiply_45 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_45", "trainable": false}, "inbound_nodes": [["re_lu_67", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_45", "registered_name": "TFOpLambda"} |
layer184_expanded_conv_11_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 8, 8, 672], [null, 1, 1, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_11/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_32", 0, 0, {}], ["tf.math.multiply_45", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Mul", "registered_name": null} |
layer185_expanded_conv_11_project | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/project", "registered_name": null} |
layer186_expanded_conv_11_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 112]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_11/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/project/BatchNorm", "registered_name": null} |
layer187_expanded_conv_11_Add | | default: {"build_config": {"input_shape": [[null, 8, 8, 112], [null, 8, 8, 112]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_11/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/project/BatchNorm", 0, 0, {}], ["expanded_conv_11/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/Add", "registered_name": null} |
layer188_expanded_conv_12_expand | | default: {"build_config": {"input_shape": [null, 8, 8, 112]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/expand", "registered_name": null} |
layer189_expanded_conv_12_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_12/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/expand/BatchNorm", "registered_name": null} |
layer190_tf.__operators__.add_46 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_46", "trainable": false}, "inbound_nodes": [["expanded_conv_12/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_46", "registered_name": "TFOpLambda"} |
layer191_re_lu_68 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_68", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_46", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_68", "registered_name": null} |
layer192_tf.math.multiply_46 | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_46", "trainable": false}, "inbound_nodes": [["re_lu_68", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_46", "registered_name": "TFOpLambda"} |
layer193_multiply_33 | | default: {"build_config": {"input_shape": [[null, 8, 8, 672], [null, 8, 8, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_33", "trainable": false}, "inbound_nodes": [[["expanded_conv_12/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_46", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_33", "registered_name": null} |
layer194_expanded_conv_12_depthwise_pad | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_12/depthwise/pad", "padding": [[1, 2], [1, 2]], "trainable": false}, "inbound_nodes": [[["multiply_33", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/depthwise/pad", "registered_name": null} |
layer195_expanded_conv_12_depthwise | | default: {"build_config": {"input_shape": [null, 11, 11, 672]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/depthwise", "registered_name": null} |
layer196_expanded_conv_12_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_12/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/depthwise/BatchNorm", "registered_name": null} |
layer197_tf.__operators__.add_47 | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_47", "trainable": false}, "inbound_nodes": [["expanded_conv_12/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_47", "registered_name": "TFOpLambda"} |
layer198_re_lu_69 | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_69", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_47", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_69", "registered_name": null} |
layer199_tf.math.multiply_47 | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_47", "trainable": false}, "inbound_nodes": [["re_lu_69", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_47", "registered_name": "TFOpLambda"} |
layer200_multiply_34 | | default: {"build_config": {"input_shape": [[null, 4, 4, 672], [null, 4, 4, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_34", "trainable": false}, "inbound_nodes": [[["expanded_conv_12/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_47", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_34", "registered_name": null} |
layer201_expanded_conv_12_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_12/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_34", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/AvgPool", "registered_name": null} |
layer202_expanded_conv_12_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Conv", "registered_name": null} |
layer203_expanded_conv_12_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_12/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_12/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Relu", "registered_name": null} |
layer204_expanded_conv_12_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Conv_1", "registered_name": null} |
layer205_tf.__operators__.add_48 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_48", "trainable": false}, "inbound_nodes": [["expanded_conv_12/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_48", "registered_name": "TFOpLambda"} |
layer206_re_lu_70 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_70", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_48", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_70", "registered_name": null} |
layer207_tf.math.multiply_48 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_48", "trainable": false}, "inbound_nodes": [["re_lu_70", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_48", "registered_name": "TFOpLambda"} |
layer208_expanded_conv_12_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 4, 4, 672], [null, 1, 1, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_12/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_34", 0, 0, {}], ["tf.math.multiply_48", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Mul", "registered_name": null} |
layer209_expanded_conv_12_project | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/project", "registered_name": null} |
layer210_expanded_conv_12_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_12/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/project/BatchNorm", "registered_name": null} |
layer211_expanded_conv_13_expand | | default: {"build_config": {"input_shape": [null, 4, 4, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/expand", "registered_name": null} |
layer212_expanded_conv_13_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_13/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/expand/BatchNorm", "registered_name": null} |
layer213_tf.__operators__.add_49 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_49", "trainable": false}, "inbound_nodes": [["expanded_conv_13/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_49", "registered_name": "TFOpLambda"} |
layer214_re_lu_71 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_71", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_49", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_71", "registered_name": null} |
layer215_tf.math.multiply_49 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_49", "trainable": false}, "inbound_nodes": [["re_lu_71", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_49", "registered_name": "TFOpLambda"} |
layer216_multiply_35 | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 4, 4, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_35", "trainable": false}, "inbound_nodes": [[["expanded_conv_13/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_49", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_35", "registered_name": null} |
layer217_expanded_conv_13_depthwise | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_35", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/depthwise", "registered_name": null} |
layer218_expanded_conv_13_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_13/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/depthwise/BatchNorm", "registered_name": null} |
layer219_tf.__operators__.add_50 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_50", "trainable": false}, "inbound_nodes": [["expanded_conv_13/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_50", "registered_name": "TFOpLambda"} |
layer220_re_lu_72 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_72", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_50", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_72", "registered_name": null} |
layer221_tf.math.multiply_50 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_50", "trainable": false}, "inbound_nodes": [["re_lu_72", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_50", "registered_name": "TFOpLambda"} |
layer222_multiply_36 | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 4, 4, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_36", "trainable": false}, "inbound_nodes": [[["expanded_conv_13/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_50", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_36", "registered_name": null} |
layer223_expanded_conv_13_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_13/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_36", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/AvgPool", "registered_name": null} |
layer224_expanded_conv_13_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Conv", "registered_name": null} |
layer225_expanded_conv_13_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_13/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_13/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Relu", "registered_name": null} |
layer226_expanded_conv_13_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Conv_1", "registered_name": null} |
layer227_tf.__operators__.add_51 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_51", "trainable": false}, "inbound_nodes": [["expanded_conv_13/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_51", "registered_name": "TFOpLambda"} |
layer228_re_lu_73 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_73", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_51", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_73", "registered_name": null} |
layer229_tf.math.multiply_51 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_51", "trainable": false}, "inbound_nodes": [["re_lu_73", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_51", "registered_name": "TFOpLambda"} |
layer230_expanded_conv_13_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 1, 1, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_13/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_36", 0, 0, {}], ["tf.math.multiply_51", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Mul", "registered_name": null} |
layer231_expanded_conv_13_project | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/project", "registered_name": null} |
layer232_expanded_conv_13_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_13/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/project/BatchNorm", "registered_name": null} |
layer233_expanded_conv_13_Add | | default: {"build_config": {"input_shape": [[null, 4, 4, 160], [null, 4, 4, 160]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_13/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_12/project/BatchNorm", 0, 0, {}], ["expanded_conv_13/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/Add", "registered_name": null} |
layer234_expanded_conv_14_expand | | default: {"build_config": {"input_shape": [null, 4, 4, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/expand", "registered_name": null} |
layer235_expanded_conv_14_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_14/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/expand/BatchNorm", "registered_name": null} |
layer236_tf.__operators__.add_52 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_52", "trainable": false}, "inbound_nodes": [["expanded_conv_14/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_52", "registered_name": "TFOpLambda"} |
layer237_re_lu_74 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_74", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_52", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_74", "registered_name": null} |
layer238_tf.math.multiply_52 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_52", "trainable": false}, "inbound_nodes": [["re_lu_74", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_52", "registered_name": "TFOpLambda"} |
layer239_multiply_37 | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 4, 4, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_37", "trainable": false}, "inbound_nodes": [[["expanded_conv_14/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_52", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_37", "registered_name": null} |
layer240_expanded_conv_14_depthwise | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_37", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/depthwise", "registered_name": null} |
layer241_expanded_conv_14_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_14/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/depthwise/BatchNorm", "registered_name": null} |
layer242_tf.__operators__.add_53 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_53", "trainable": false}, "inbound_nodes": [["expanded_conv_14/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_53", "registered_name": "TFOpLambda"} |
layer243_re_lu_75 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_75", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_53", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_75", "registered_name": null} |
layer244_tf.math.multiply_53 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_53", "trainable": false}, "inbound_nodes": [["re_lu_75", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_53", "registered_name": "TFOpLambda"} |
layer245_multiply_38 | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 4, 4, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_38", "trainable": false}, "inbound_nodes": [[["expanded_conv_14/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_53", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_38", "registered_name": null} |
layer246_expanded_conv_14_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_14/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_38", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/AvgPool", "registered_name": null} |
layer247_expanded_conv_14_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Conv", "registered_name": null} |
layer248_expanded_conv_14_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_14/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_14/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Relu", "registered_name": null} |
layer249_expanded_conv_14_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Conv_1", "registered_name": null} |
layer250_tf.__operators__.add_54 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_54", "trainable": false}, "inbound_nodes": [["expanded_conv_14/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_54", "registered_name": "TFOpLambda"} |
layer251_re_lu_76 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_76", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_54", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_76", "registered_name": null} |
layer252_tf.math.multiply_54 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_54", "trainable": false}, "inbound_nodes": [["re_lu_76", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_54", "registered_name": "TFOpLambda"} |
layer253_expanded_conv_14_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 1, 1, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_14/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_38", 0, 0, {}], ["tf.math.multiply_54", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Mul", "registered_name": null} |
layer254_expanded_conv_14_project | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/project", "registered_name": null} |
layer255_expanded_conv_14_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_14/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/project/BatchNorm", "registered_name": null} |
layer256_expanded_conv_14_Add | | default: {"build_config": {"input_shape": [[null, 4, 4, 160], [null, 4, 4, 160]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_14/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_13/Add", 0, 0, {}], ["expanded_conv_14/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/Add", "registered_name": null} |
layer257_Conv_1 | | default: {"build_config": {"input_shape": [null, 4, 4, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/Add", 0, 0, {}]]], "module": "keras.layers", "name": "Conv_1", "registered_name": null} |
layer258_Conv_1_BatchNorm | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["Conv_1", 0, 0, {}]]], "module": "keras.layers", "name": "Conv_1/BatchNorm", "registered_name": null} |
layer259_tf.__operators__.add_55 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_55", "trainable": false}, "inbound_nodes": [["Conv_1/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_55", "registered_name": "TFOpLambda"} |
layer260_re_lu_77 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_77", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_55", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_77", "registered_name": null} |
layer261_tf.math.multiply_55 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_55", "trainable": false}, "inbound_nodes": [["re_lu_77", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_55", "registered_name": "TFOpLambda"} |
layer262_multiply_39 | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 4, 4, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_39", "trainable": false}, "inbound_nodes": [[["Conv_1/BatchNorm", 0, 0, {}], ["tf.math.multiply_55", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_39", "registered_name": null} |
layer263_global_average_pooling2d_2 | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d_2", "trainable": true}, "inbound_nodes": [[["multiply_39", 0, 0, {}]]], "module": "keras.layers", "name": "global_average_pooling2d_2", "registered_name": null} |
layer264_dense_2 | | default: {"build_config": {"input_shape": [null, 960]}, "class_name": "Dense", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": null, "name": "dense_2", "trainable": true, "units": 512, "use_bias": true}, "inbound_nodes": [[["global_average_pooling2d_2", 0, 0, {}]]], "module": "keras.layers", "name": "dense_2", "registered_name": null} |
layer265_dropout | | default: {"build_config": {"input_shape": [null, 512]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "inbound_nodes": [[["dense_2", 0, 0, {}]]], "module": "keras.layers", "name": "dropout", "registered_name": null} |
layer266_dense_3 | | default: {"build_config": {"input_shape": [null, 512]}, "class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": null, "name": "dense_3", "trainable": true, "units": 67, "use_bias": true}, "inbound_nodes": [[["dropout", 0, 0, {}]]], "module": "keras.layers", "name": "dense_3", "registered_name": null} |
optimizer | | default: {"loss": "categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.9, "beta_2": 0.999, "clipnorm": null, "clipvalue": null, "ema_momentum": 0.99, "ema_overwrite_frequency": null, "epsilon": 1e-07, "global_clipnorm": null, "is_legacy_optimizer": false, "jit_compile": true, "learning_rate": 0.00039999998989515007, "name": "Adam", "use_ema": false, "weight_decay": null}}} |
tensorflow_version | | default: "2.15.0" |