model_accuracy/server/lemon_master/run/sub_model/total.json

{
    "layer_config": {
        "Conv2D": [
            {
                "trainable": true,
                "kernel_size": [
                    5,
                    5
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "linear",
                "use_bias": false,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "kernel_size": [
                    5,
                    5
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "tanh",
                "use_bias": false,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "kernel_size": [
                    3,
                    3
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "linear",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "kernel_size": [
                    3,
                    3
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "same",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "linear",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "kernel_size": [
                    5,
                    5
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "relu",
                "use_bias": false,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "kernel_size": [
                    5,
                    5
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "no_activation",
                "use_bias": false,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "kernel_size": [
                    5,
                    5
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "leakyrelu",
                "use_bias": false,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "kernel_size": [
                    5,
                    5
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "sigmoid",
                "use_bias": false,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            }
        ],
        "Activation": [
            {
                "trainable": true,
                "activation": "relu"
            }
        ],
        "MaxPooling2D": [
            {
                "trainable": true,
                "pool_size": [
                    2,
                    2
                ],
                "padding": "valid",
                "strides": [
                    2,
                    2
                ],
                "data_format": "channels_last"
            }
        ],
        "Flatten": [
            {
                "trainable": true,
                "data_format": "channels_last"
            }
        ],
        "Dense": [
            {
                "trainable": true,
                "activation": "relu",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "softmax",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "linear",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "tanh",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "no_activation",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "leakyrelu",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "sigmoid",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            }
        ],
        "UpSampling2D": [
            {
                "trainable": true,
                "size": [
                    2,
                    2
                ],
                "data_format": "channels_last",
                "interpolation": "nearest"
            }
        ],
        "Reshape": [
            {
                "trainable": true,
                "target_shape": [
                    28,
                    28,
                    6
                ]
            },
            {
                "trainable": true,
                "target_shape": [
                    252
                ]
            },
            {
                "trainable": true,
                "target_shape": [
                    14,
                    14,
                    6
                ]
            },
            {
                "trainable": true,
                "target_shape": [
                    144
                ]
            },
            {
                "trainable": true,
                "target_shape": [
                    5,
                    5,
                    16
                ]
            },
            {
                "trainable": true,
                "target_shape": [
                    360
                ]
            }
        ],
        "RepeatVector": [
            {
                "trainable": true,
                "n": 3
            }
        ],
        "ThresholdedReLU": [
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    28,
                    28,
                    6
                ],
                "dtype": "float32",
                "theta": 1.0
            },
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    400
                ],
                "dtype": "float32",
                "theta": 1.0
            }
        ],
        "ZeroPadding2D": [
            {
                "trainable": true,
                "padding": [
                    [
                        1,
                        1
                    ],
                    [
                        1,
                        1
                    ]
                ],
                "data_format": "channels_last"
            }
        ],
        "Softmax": [
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    10,
                    10,
                    16
                ],
                "dtype": "float32",
                "axis": -1
            },
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    14,
                    14,
                    6
                ],
                "dtype": "float32",
                "axis": -1
            }
        ],
        "SeparableConv2D": [
            {
                "trainable": true,
                "kernel_size": [
                    3,
                    3
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "same",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "linear",
                "use_bias": true,
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "bias_constraint": "None",
                "depth_multiplier": 1,
                "depthwise_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "pointwise_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "depthwise_regularizer": "None",
                "pointwise_regularizer": "None",
                "depthwise_constraint": "None",
                "pointwise_constraint": "None"
            }
        ],
        "Cropping2D": [
            {
                "trainable": true,
                "cropping": [
                    [
                        1,
                        1
                    ],
                    [
                        1,
                        1
                    ]
                ],
                "data_format": "channels_last"
            }
        ],
        "PReLU": [
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    84
                ],
                "dtype": "float32",
                "alpha_initializer": {
                    "class_name": "RandomNormal",
                    "config": {
                        "mean": 0.0,
                        "stddev": 0.05,
                        "seed": null
                    }
                },
                "alpha_regularizer": "None",
                "alpha_constraint": "None",
                "shared_axes": "None"
            }
        ],
        "ReLU": [
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    120
                ],
                "dtype": "float32",
                "max_value": "1.0",
                "negative_slope": "0.0",
                "threshold": "0.0"
            }
        ],
        "ELU": [
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    120
                ],
                "dtype": "float32",
                "alpha": 1.0
            }
        ]
    },
    "layer_input_info": {
        "Conv2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]",
                "[Dimension(None), Dimension(12), Dimension(12), Dimension(16)]",
                "[Dimension(None), Dimension(7), Dimension(7), Dimension(16)]",
                "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]",
                "[Dimension(None), Dimension(32), Dimension(32), Dimension(3)]"
            ]
        },
        "Activation": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]",
                "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]"
            ]
        },
        "MaxPooling2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]",
                "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]"
            ]
        },
        "Flatten": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(5), Dimension(5), Dimension(16)]",
                "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]",
                "[Dimension(None), Dimension(56), Dimension(56), Dimension(6)]",
                "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]"
            ]
        },
        "Dense": {
            "input_dims": [
                2
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(None)]",
                "[Dimension(None), Dimension(360)]",
                "[Dimension(None), Dimension(252)]",
                "[Dimension(None), Dimension(84)]",
                "[Dimension(None), Dimension(144)]",
                "[Dimension(None), Dimension(120)]"
            ]
        },
        "UpSampling2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]",
                "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]"
            ]
        },
        "Reshape": {
            "input_dims": [
                2,
                3,
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(1176)]",
                "[Dimension(None), Dimension(3), Dimension(120)]",
                "[Dimension(None), Dimension(400)]",
                "[Dimension(None), Dimension(3), Dimension(3), Dimension(16)]",
                "[Dimension(None), Dimension(3), Dimension(84)]",
                "[Dimension(None), Dimension(4704)]"
            ]
        },
        "RepeatVector": {
            "input_dims": [
                2
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(84)]",
                "[Dimension(None), Dimension(120)]"
            ]
        },
        "ThresholdedReLU": {
            "input_dims": [
                2,
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(None)]",
                "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]"
            ]
        },
        "ZeroPadding2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]",
                "[Dimension(None), Dimension(5), Dimension(5), Dimension(16)]"
            ]
        },
        "Softmax": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]",
                "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]"
            ]
        },
        "SeparableConv2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]"
            ]
        },
        "Cropping2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(5), Dimension(5), Dimension(16)]"
            ]
        },
        "PReLU": {
            "input_dims": [
                2
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(84)]"
            ]
        },
        "ReLU": {
            "input_dims": [
                2
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(120)]"
            ]
        },
        "ELU": {
            "input_dims": [
                2
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(120)]"
            ]
        }
    },
    "layer_dims": {
        "Conv2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "Activation": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "MaxPooling2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "Flatten": {
            "input_dims": [
                4
            ],
            "output_dims": [
                2
            ]
        },
        "Dense": {
            "input_dims": [
                2
            ],
            "output_dims": [
                2
            ]
        },
        "UpSampling2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "Reshape": {
            "input_dims": [
                2,
                3,
                4
            ],
            "output_dims": [
                2,
                4
            ]
        },
        "RepeatVector": {
            "input_dims": [
                2
            ],
            "output_dims": [
                3
            ]
        },
        "ThresholdedReLU": {
            "input_dims": [
                2,
                4
            ],
            "output_dims": [
                2,
                4
            ]
        },
        "ZeroPadding2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "Softmax": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "SeparableConv2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "Cropping2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "PReLU": {
            "input_dims": [
                2
            ],
            "output_dims": [
                2
            ]
        },
        "ReLU": {
            "input_dims": [
                2
            ],
            "output_dims": [
                2
            ]
        },
        "ELU": {
            "input_dims": [
                2
            ],
            "output_dims": [
                2
            ]
        }
    },
    "layer_type": [
        "ThresholdedReLU",
        "Dense",
        "Activation",
        "Softmax",
        "SeparableConv2D",
        "Conv2D",
        "MaxPooling2D",
        "Cropping2D",
        "PReLU",
        "ELU",
        "Reshape",
        "ZeroPadding2D",
        "UpSampling2D",
        "Flatten",
        "ReLU",
        "RepeatVector"
    ],
    "max_edge_num": 14,
    "max_layer_num": 14
}