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/MobilenetV1/MobilenetV1/Conv2d_0/convolution" op: "Conv2D" input: "Preprocessor/sub" input: "FeatureExtractor/MobilenetV1/Conv2d_0/weights" input: "^FeatureExtractor/Assert/Assert" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm" } node { name: "BoxPredictor_0/ClassPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6" input: "BoxPredictor_0/ClassPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } 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/convolution" input: "BoxPredictor_0/ClassPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "BoxPredictor_0/BoxEncodingPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6" input: "BoxPredictor_0/BoxEncodingPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } 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/convolution" input: "BoxPredictor_0/BoxEncodingPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise" op: "DepthwiseConv2dNative" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/depthwise_weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise" input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm" } node { name: "BoxPredictor_1/ClassPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6" input: "BoxPredictor_1/ClassPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "BoxPredictor_1/ClassPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_1/ClassPredictor/convolution" input: "BoxPredictor_1/ClassPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "BoxPredictor_1/BoxEncodingPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6" input: "BoxPredictor_1/BoxEncodingPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } 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_1/BoxEncodingPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_1/BoxEncodingPredictor/convolution" input: "BoxPredictor_1/BoxEncodingPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/concat" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Relu6" input: "FeatureExtractor/MobilenetV1/concat/axis" } node { name: "FeatureExtractor/MobilenetV1/concat_1" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/concat" input: "FeatureExtractor/MobilenetV1/concat_1/axis" } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/concat_1" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/FusedBatchNorm" } node { name: "BoxPredictor_2/ClassPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6" input: "BoxPredictor_2/ClassPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "BoxPredictor_2/ClassPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_2/ClassPredictor/convolution" input: "BoxPredictor_2/ClassPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "BoxPredictor_2/BoxEncodingPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6" input: "BoxPredictor_2/BoxEncodingPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } 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_2/BoxEncodingPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_2/BoxEncodingPredictor/convolution" input: "BoxPredictor_2/BoxEncodingPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/concat_2" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Relu6" input: "FeatureExtractor/MobilenetV1/concat_2/axis" } node { name: "FeatureExtractor/MobilenetV1/concat_3" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/concat_2" input: "FeatureExtractor/MobilenetV1/concat_3/axis" } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/concat_3" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/FusedBatchNorm" } node { name: "BoxPredictor_3/ClassPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6" input: "BoxPredictor_3/ClassPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "BoxPredictor_3/ClassPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_3/ClassPredictor/convolution" input: "BoxPredictor_3/ClassPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "BoxPredictor_3/BoxEncodingPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6" input: "BoxPredictor_3/BoxEncodingPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } 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_3/BoxEncodingPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_3/BoxEncodingPredictor/convolution" input: "BoxPredictor_3/BoxEncodingPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/concat_4" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Relu6" input: "FeatureExtractor/MobilenetV1/concat_4/axis" } node { name: "FeatureExtractor/MobilenetV1/concat_5" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/concat_4" input: "FeatureExtractor/MobilenetV1/concat_5/axis" } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/concat_5" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/FusedBatchNorm" } node { name: "BoxPredictor_4/ClassPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6" input: "BoxPredictor_4/ClassPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "BoxPredictor_4/ClassPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_4/ClassPredictor/convolution" input: "BoxPredictor_4/ClassPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "BoxPredictor_4/BoxEncodingPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6" input: "BoxPredictor_4/BoxEncodingPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } 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_4/BoxEncodingPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_4/BoxEncodingPredictor/convolution" input: "BoxPredictor_4/BoxEncodingPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/FusedBatchNorm" } node { name: "FeatureExtractor/MobilenetV1/concat_6" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Relu6" input: "FeatureExtractor/MobilenetV1/concat_6/axis" } node { name: "FeatureExtractor/MobilenetV1/concat_7" op: "ConcatV2" input: "FeatureExtractor/MobilenetV1/concat_6" input: "FeatureExtractor/MobilenetV1/concat_7/axis" } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/concat_7" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm" op: "FusedBatchNorm" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/convolution" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/beta" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } } node { name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6" op: "Relu6" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm" } node { name: "BoxPredictor_5/ClassPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6" input: "BoxPredictor_5/ClassPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "BoxPredictor_5/ClassPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_5/ClassPredictor/convolution" input: "BoxPredictor_5/ClassPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "BoxPredictor_5/BoxEncodingPredictor/convolution" op: "Conv2D" input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6" input: "BoxPredictor_5/BoxEncodingPredictor/weights" attr { key: "data_format" value { s: "NHWC" } } 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_5/BoxEncodingPredictor/BiasAdd" op: "BiasAdd" input: "BoxPredictor_5/BoxEncodingPredictor/convolution" input: "BoxPredictor_5/BoxEncodingPredictor/biases" attr { key: "data_format" value { s: "NHWC" } } } node { name: "concat/axis_flatten" op: "Const" attr { key: "value" value { tensor { dtype: DT_INT32 int_val: -1 tensor_shape { dim { size: 1 } } } } } } node { name: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_0/ClassPredictor/BiasAdd" } node { name: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_1/ClassPredictor/BiasAdd" } node { name: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_2/ClassPredictor/BiasAdd" } node { name: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_3/ClassPredictor/BiasAdd" } node { name: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_4/ClassPredictor/BiasAdd" } node { name: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_5/ClassPredictor/BiasAdd" } node { name: "ClassPredictor/concat" op: "ConcatV2" input: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten" input: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten" input: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten" input: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten" input: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten" input: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten" input: "concat/axis_flatten" } node { name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd" } node { name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd" } node { name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd" } node { name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd" } node { name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd" } node { name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten" op: "Flatten" input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd" } node { name: "BoxEncodingPredictor/concat" op: "ConcatV2" input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten" input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten" input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten" input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten" input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten" input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten" input: "concat/axis_flatten" } node { name: "PriorBox_0" op: "PriorBox" input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd" input: "image_tensor" attr { key: "clip" value { b: false } } attr { key: "flip" value { b: false } } attr { key: "height" value { 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