node { name: "image_tensor" op: "Placeholder" attr { key: "dtype" value { type: DT_UINT8 } } attr { key: "shape" value { shape { dim { size: -1 } dim { size: -1 } dim { size: -1 } dim { size: 3 } } } } } node { name: "Preprocessor/mul" op: "Mul" input: "image_tensor" input: "Preprocessor/mul/x" } node { name: "Preprocessor/sub" op: "Sub" input: "Preprocessor/mul" input: "Preprocessor/sub/y" } node { name: "FeatureExtractor/MobilenetV2/Conv/Conv2D" op: "Conv2D" input: "Preprocessor/sub" input: "FeatureExtractor/MobilenetV2/Conv/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/Conv/Conv2D" input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/Conv/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/Conv/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv/output" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv/output" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_1/output" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/output" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_2/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_1/output" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_2/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_3/output" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/output" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_4/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_3/output" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_4/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_5/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/input" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_5/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_6/output" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/output" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_7/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_6/output" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_7/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_8/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/input" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_8/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_9/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/input" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_9/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_10/output" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/output" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_11/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_10/output" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_11/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_12/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/input" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_12/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_13/output" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/output" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_14/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/output" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_14/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_15/add" op: "Add" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/add_1" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/input" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/input" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_15/add" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/input" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/expanded_conv_16/output" op: "Identity" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/Conv_1/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_16/output" input: "FeatureExtractor/MobilenetV2/Conv_1/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/Conv_1/Conv2D" input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/Conv_1/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise_weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1" } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/beta" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance" attr { key: "epsilon" value { f: 0.0010000000475 } } } node { name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1" } node { name: "BoxPredictor_0/BoxEncodingPredictor/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" input: "BoxPredictor_0/BoxEncodingPredictor/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "loc_pred_transposed" value { b: true } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_0/BoxEncodingPredictor/Conv2D" input: "BoxPredictor_0/BoxEncodingPredictor/biases" } node { name: "BoxPredictor_0/ClassPredictor/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" input: "BoxPredictor_0/ClassPredictor/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "BoxPredictor_0/ClassPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_0/ClassPredictor/Conv2D" input: "BoxPredictor_0/ClassPredictor/biases" } node { name: "BoxPredictor_1/BoxEncodingPredictor/Conv2D" op: "Conv2D" input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6" input: "BoxPredictor_1/BoxEncodingPredictor/weights" attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "loc_pred_transposed" value { b: true } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 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