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{ name: "efficientnet-b0/blocks_2/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_2/se/Mean" input: "efficientnet-b0/blocks_2/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_2/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_2/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_2/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_2/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_2/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_2/se/mul" op: "Mul" input: "efficientnet-b0/blocks_2/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_2/se/Sigmoid" } node { name: "efficientnet-b0/blocks_2/se/conv2d_1/Conv2D" op: 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"efficientnet-b0/blocks_2/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_1/tpu_batch_normalization_2/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_3/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_2/Add" input: "efficientnet-b0/blocks_3/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_3/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_3/conv2d/Conv2D" input: "efficientnet-b0/blocks_3/tpu_batch_normalization/gamma" input: "efficientnet-b0/blocks_3/tpu_batch_normalization/beta" input: "efficientnet-b0/blocks_3/tpu_batch_normalization/moving_mean" input: "efficientnet-b0/blocks_3/tpu_batch_normalization/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_3/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_3/tpu_batch_normalization/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_3/mul" op: "Mul" input: "efficientnet-b0/blocks_3/tpu_batch_normalization/FusedBatchNormV3" input: "efficientnet-b0/blocks_3/Sigmoid" } node { name: "efficientnet-b0/blocks_3/depthwise_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "efficientnet-b0/blocks_3/mul" input: "efficientnet-b0/blocks_3/depthwise_conv2d/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "efficientnet-b0/blocks_3/tpu_batch_normalization_1/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_3/depthwise_conv2d/depthwise" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_1/gamma" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_1/beta" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_1/moving_mean" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_1/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_3/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_1/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_3/mul_1" op: "Mul" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_1/FusedBatchNormV3" input: "efficientnet-b0/blocks_3/Sigmoid_1" } node { name: "efficientnet-b0/blocks_3/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_3/mul_1" input: "efficientnet-b0/blocks_3/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_3/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_3/se/Mean" input: "efficientnet-b0/blocks_3/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_3/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_3/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_3/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_3/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_3/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_3/se/mul" op: "Mul" input: "efficientnet-b0/blocks_3/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_3/se/Sigmoid" } node { name: "efficientnet-b0/blocks_3/se/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_3/se/mul" input: "efficientnet-b0/blocks_3/se/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_3/se/conv2d_1/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_3/se/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_3/se/conv2d_1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_3/se/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_3/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_3/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_3/mul_1" input: "efficientnet-b0/blocks_3/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_3/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_3/se/mul_1" input: "efficientnet-b0/blocks_3/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_3/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_3/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_4/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_4/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_4/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_4/conv2d/Conv2D" input: "efficientnet-b0/blocks_4/tpu_batch_normalization/gamma" input: "efficientnet-b0/blocks_4/tpu_batch_normalization/beta" input: "efficientnet-b0/blocks_4/tpu_batch_normalization/moving_mean" input: "efficientnet-b0/blocks_4/tpu_batch_normalization/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_4/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_4/tpu_batch_normalization/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_4/mul" op: "Mul" input: "efficientnet-b0/blocks_4/tpu_batch_normalization/FusedBatchNormV3" input: "efficientnet-b0/blocks_4/Sigmoid" } node { name: "efficientnet-b0/blocks_4/depthwise_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "efficientnet-b0/blocks_4/mul" input: "efficientnet-b0/blocks_4/depthwise_conv2d/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "efficientnet-b0/blocks_4/tpu_batch_normalization_1/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_4/depthwise_conv2d/depthwise" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_1/gamma" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_1/beta" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_1/moving_mean" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_1/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_4/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_1/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_4/mul_1" op: "Mul" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_1/FusedBatchNormV3" input: "efficientnet-b0/blocks_4/Sigmoid_1" } node { name: "efficientnet-b0/blocks_4/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_4/mul_1" input: "efficientnet-b0/blocks_4/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_4/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_4/se/Mean" input: "efficientnet-b0/blocks_4/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_4/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_4/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_4/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_4/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_4/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_4/se/mul" op: "Mul" input: "efficientnet-b0/blocks_4/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_4/se/Sigmoid" } node { name: "efficientnet-b0/blocks_4/se/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_4/se/mul" input: "efficientnet-b0/blocks_4/se/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_4/se/conv2d_1/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_4/se/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_4/se/conv2d_1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_4/se/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_4/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_4/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_4/mul_1" input: "efficientnet-b0/blocks_4/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_4/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_4/se/mul_1" input: "efficientnet-b0/blocks_4/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_4/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_4/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_4/Add" op: "Add" input: "efficientnet-b0/blocks_4/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_3/tpu_batch_normalization_2/FusedBatchNormV3" } node { name: "fpn_cells/cell_0/fnode3/resample_0_0_8/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_4/Add" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode3/resample_0_0_8/conv2d/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/conv2d/Conv2D" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode3/resample_0_0_8/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/conv2d/BiasAdd" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/bn/gamma" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/bn/beta" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/bn/moving_mean" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode3/mul" op: "Mul" input: "fpn_cells/cell_0/fnode3/resample_0_0_8/bn/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode3/Relu/_16__cf__16" } node { name: "fpn_cells/cell_0/fnode3/truediv" op: "Mul" input: "fpn_cells/cell_0/fnode3/mul" input: "fpn_cells/cell_0/fnode3/add/_18__cf__18/inv" } node { name: "efficientnet-b0/blocks_5/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_4/Add" input: "efficientnet-b0/blocks_5/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_5/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_5/conv2d/Conv2D" input: "efficientnet-b0/blocks_5/tpu_batch_normalization/gamma" input: "efficientnet-b0/blocks_5/tpu_batch_normalization/beta" input: "efficientnet-b0/blocks_5/tpu_batch_normalization/moving_mean" input: "efficientnet-b0/blocks_5/tpu_batch_normalization/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_5/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_5/tpu_batch_normalization/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_5/mul" op: "Mul" input: "efficientnet-b0/blocks_5/tpu_batch_normalization/FusedBatchNormV3" input: "efficientnet-b0/blocks_5/Sigmoid" } node { name: "efficientnet-b0/blocks_5/depthwise_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "efficientnet-b0/blocks_5/mul" input: "efficientnet-b0/blocks_5/depthwise_conv2d/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "efficientnet-b0/blocks_5/tpu_batch_normalization_1/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_5/depthwise_conv2d/depthwise" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_1/gamma" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_1/beta" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_1/moving_mean" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_1/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_5/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_1/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_5/mul_1" op: "Mul" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_1/FusedBatchNormV3" input: "efficientnet-b0/blocks_5/Sigmoid_1" } node { name: "efficientnet-b0/blocks_5/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_5/mul_1" input: "efficientnet-b0/blocks_5/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_5/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_5/se/Mean" input: "efficientnet-b0/blocks_5/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_5/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_5/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_5/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_5/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_5/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_5/se/mul" op: "Mul" input: "efficientnet-b0/blocks_5/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_5/se/Sigmoid" } node { name: "efficientnet-b0/blocks_5/se/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_5/se/mul" input: "efficientnet-b0/blocks_5/se/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_5/se/conv2d_1/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_5/se/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_5/se/conv2d_1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_5/se/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_5/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_5/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_5/mul_1" input: "efficientnet-b0/blocks_5/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_5/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_5/se/mul_1" input: "efficientnet-b0/blocks_5/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_5/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_5/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_6/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_6/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_6/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: 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input: "efficientnet-b0/blocks_6/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_6/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_6/mul_1" input: "efficientnet-b0/blocks_6/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_6/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_6/se/mul_1" input: "efficientnet-b0/blocks_6/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_6/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_6/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_6/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_6/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_6/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_6/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_6/Add" op: "Add" input: "efficientnet-b0/blocks_6/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_5/tpu_batch_normalization_2/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_7/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_6/Add" input: "efficientnet-b0/blocks_7/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_7/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: 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input: "efficientnet-b0/blocks_7/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_7/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_7/mul_1" input: "efficientnet-b0/blocks_7/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_7/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_7/se/mul_1" input: "efficientnet-b0/blocks_7/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_7/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_7/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_7/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_7/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_7/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_7/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_7/Add" op: "Add" input: "efficientnet-b0/blocks_7/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_6/Add" } node { name: "efficientnet-b0/blocks_8/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_7/Add" input: "efficientnet-b0/blocks_8/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_8/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_8/conv2d/Conv2D" input: 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"efficientnet-b0/blocks_8/Sigmoid_1" } node { name: "efficientnet-b0/blocks_8/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_8/mul_1" input: "efficientnet-b0/blocks_8/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_8/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_8/se/Mean" input: "efficientnet-b0/blocks_8/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_8/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_8/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_8/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_8/se/Sigmoid" op: "Sigmoid" input: 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{ name: "efficientnet-b0/blocks_8/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_8/mul_1" input: "efficientnet-b0/blocks_8/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_8/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_8/se/mul_1" input: "efficientnet-b0/blocks_8/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_8/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_8/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_8/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_8/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_8/tpu_batch_normalization_2/moving_mean" input: 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"efficientnet-b0/blocks_9/tpu_batch_normalization/moving_mean" input: "efficientnet-b0/blocks_9/tpu_batch_normalization/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_9/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_9/tpu_batch_normalization/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_9/mul" op: "Mul" input: "efficientnet-b0/blocks_9/tpu_batch_normalization/FusedBatchNormV3" input: "efficientnet-b0/blocks_9/Sigmoid" } node { name: "efficientnet-b0/blocks_9/depthwise_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "efficientnet-b0/blocks_9/mul" input: "efficientnet-b0/blocks_9/depthwise_conv2d/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "efficientnet-b0/blocks_9/tpu_batch_normalization_1/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_9/depthwise_conv2d/depthwise" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_1/gamma" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_1/beta" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_1/moving_mean" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_1/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_9/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_1/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_9/mul_1" op: "Mul" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_1/FusedBatchNormV3" input: "efficientnet-b0/blocks_9/Sigmoid_1" } node { name: "efficientnet-b0/blocks_9/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_9/mul_1" input: "efficientnet-b0/blocks_9/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_9/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_9/se/Mean" input: "efficientnet-b0/blocks_9/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_9/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_9/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_9/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_9/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_9/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_9/se/mul" op: "Mul" input: "efficientnet-b0/blocks_9/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_9/se/Sigmoid" } node { name: "efficientnet-b0/blocks_9/se/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_9/se/mul" input: "efficientnet-b0/blocks_9/se/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_9/se/conv2d_1/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_9/se/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_9/se/conv2d_1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_9/se/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_9/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_9/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_9/mul_1" input: "efficientnet-b0/blocks_9/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_9/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_9/se/mul_1" input: "efficientnet-b0/blocks_9/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_9/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_9/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_9/Add" op: "Add" input: "efficientnet-b0/blocks_9/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_8/tpu_batch_normalization_2/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_10/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_9/Add" input: "efficientnet-b0/blocks_10/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_10/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_10/conv2d/Conv2D" input: "efficientnet-b0/blocks_10/tpu_batch_normalization/gamma" input: "efficientnet-b0/blocks_10/tpu_batch_normalization/beta" input: "efficientnet-b0/blocks_10/tpu_batch_normalization/moving_mean" input: "efficientnet-b0/blocks_10/tpu_batch_normalization/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_10/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_10/tpu_batch_normalization/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_10/mul" op: "Mul" input: "efficientnet-b0/blocks_10/tpu_batch_normalization/FusedBatchNormV3" input: "efficientnet-b0/blocks_10/Sigmoid" } node { name: "efficientnet-b0/blocks_10/depthwise_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "efficientnet-b0/blocks_10/mul" input: "efficientnet-b0/blocks_10/depthwise_conv2d/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "efficientnet-b0/blocks_10/tpu_batch_normalization_1/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_10/depthwise_conv2d/depthwise" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_1/gamma" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_1/beta" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_1/moving_mean" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_1/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_10/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_1/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_10/mul_1" op: "Mul" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_1/FusedBatchNormV3" input: "efficientnet-b0/blocks_10/Sigmoid_1" } node { name: "efficientnet-b0/blocks_10/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_10/mul_1" input: "efficientnet-b0/blocks_10/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_10/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_10/se/Mean" input: "efficientnet-b0/blocks_10/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_10/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_10/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_10/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_10/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_10/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_10/se/mul" op: "Mul" input: "efficientnet-b0/blocks_10/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_10/se/Sigmoid" } node { name: "efficientnet-b0/blocks_10/se/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_10/se/mul" input: "efficientnet-b0/blocks_10/se/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_10/se/conv2d_1/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_10/se/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_10/se/conv2d_1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_10/se/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_10/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_10/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_10/mul_1" input: "efficientnet-b0/blocks_10/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_10/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_10/se/mul_1" input: "efficientnet-b0/blocks_10/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_10/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_10/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_10/Add" op: "Add" input: "efficientnet-b0/blocks_10/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_9/Add" } node { name: "fpn_cells/cell_0/fnode4/resample_0_1_9/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_10/Add" input: "fpn_cells/cell_0/fnode4/resample_0_1_9/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode4/resample_0_1_9/conv2d/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode4/resample_0_1_9/conv2d/Conv2D" input: "fpn_cells/cell_0/fnode4/resample_0_1_9/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: 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"data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode2/mul" op: "Mul" input: "fpn_cells/cell_0/fnode2/resample_0_1_7/bn/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode2/Relu/_12__cf__12" } node { name: "fpn_cells/cell_0/fnode2/truediv" op: "Mul" input: "fpn_cells/cell_0/fnode2/mul" input: "fpn_cells/cell_0/fnode2/add/_14__cf__14/inv" } node { name: "efficientnet-b0/blocks_11/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_10/Add" input: "efficientnet-b0/blocks_11/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_11/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_11/conv2d/Conv2D" input: "efficientnet-b0/blocks_11/tpu_batch_normalization/gamma" input: "efficientnet-b0/blocks_11/tpu_batch_normalization/beta" input: "efficientnet-b0/blocks_11/tpu_batch_normalization/moving_mean" input: "efficientnet-b0/blocks_11/tpu_batch_normalization/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_11/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_11/tpu_batch_normalization/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_11/mul" op: "Mul" input: "efficientnet-b0/blocks_11/tpu_batch_normalization/FusedBatchNormV3" input: "efficientnet-b0/blocks_11/Sigmoid" } node { name: "efficientnet-b0/blocks_11/depthwise_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "efficientnet-b0/blocks_11/mul" input: "efficientnet-b0/blocks_11/depthwise_conv2d/depthwise_kernel" attr { key: "data_format" 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"efficientnet-b0/blocks_14/tpu_batch_normalization_1/FusedBatchNormV3" input: "efficientnet-b0/blocks_14/Sigmoid_1" } node { name: "efficientnet-b0/blocks_14/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_14/mul_1" input: "efficientnet-b0/blocks_14/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_14/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_14/se/Mean" input: "efficientnet-b0/blocks_14/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_14/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_14/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_14/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_14/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_14/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_14/se/mul" op: "Mul" input: "efficientnet-b0/blocks_14/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_14/se/Sigmoid" } node { name: "efficientnet-b0/blocks_14/se/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_14/se/mul" input: "efficientnet-b0/blocks_14/se/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_14/se/conv2d_1/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_14/se/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_14/se/conv2d_1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_14/se/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_14/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_14/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_14/mul_1" input: "efficientnet-b0/blocks_14/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_14/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_14/se/mul_1" input: "efficientnet-b0/blocks_14/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_14/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_14/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_14/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_14/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_14/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_14/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_14/Add" op: "Add" input: "efficientnet-b0/blocks_14/tpu_batch_normalization_2/FusedBatchNormV3" input: "efficientnet-b0/blocks_13/Add" } node { name: "efficientnet-b0/blocks_15/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_14/Add" input: "efficientnet-b0/blocks_15/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_15/tpu_batch_normalization/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_15/conv2d/Conv2D" input: "efficientnet-b0/blocks_15/tpu_batch_normalization/gamma" input: "efficientnet-b0/blocks_15/tpu_batch_normalization/beta" input: "efficientnet-b0/blocks_15/tpu_batch_normalization/moving_mean" input: "efficientnet-b0/blocks_15/tpu_batch_normalization/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_15/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_15/tpu_batch_normalization/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_15/mul" op: "Mul" input: "efficientnet-b0/blocks_15/tpu_batch_normalization/FusedBatchNormV3" input: "efficientnet-b0/blocks_15/Sigmoid" } node { name: "efficientnet-b0/blocks_15/depthwise_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "efficientnet-b0/blocks_15/mul" input: "efficientnet-b0/blocks_15/depthwise_conv2d/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "efficientnet-b0/blocks_15/tpu_batch_normalization_1/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_15/depthwise_conv2d/depthwise" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_1/gamma" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_1/beta" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_1/moving_mean" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_1/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "efficientnet-b0/blocks_15/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_1/FusedBatchNormV3" } node { name: "efficientnet-b0/blocks_15/mul_1" op: "Mul" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_1/FusedBatchNormV3" input: "efficientnet-b0/blocks_15/Sigmoid_1" } node { name: "efficientnet-b0/blocks_15/se/Mean" op: "Mean" input: "efficientnet-b0/blocks_15/mul_1" input: "efficientnet-b0/blocks_15/se/Mean/reduction_indices" attr { key: "keep_dims" value { b: true } } } node { name: "efficientnet-b0/blocks_15/se/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_15/se/Mean" input: "efficientnet-b0/blocks_15/se/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_15/se/conv2d/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_15/se/conv2d/Conv2D" input: "efficientnet-b0/blocks_15/se/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_15/se/Sigmoid" op: "Sigmoid" input: "efficientnet-b0/blocks_15/se/conv2d/BiasAdd" } node { name: "efficientnet-b0/blocks_15/se/mul" op: "Mul" input: "efficientnet-b0/blocks_15/se/conv2d/BiasAdd" input: "efficientnet-b0/blocks_15/se/Sigmoid" } node { name: "efficientnet-b0/blocks_15/se/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_15/se/mul" input: "efficientnet-b0/blocks_15/se/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_15/se/conv2d_1/BiasAdd" op: "BiasAdd" input: "efficientnet-b0/blocks_15/se/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_15/se/conv2d_1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "efficientnet-b0/blocks_15/se/Sigmoid_1" op: "Sigmoid" input: "efficientnet-b0/blocks_15/se/conv2d_1/BiasAdd" } node { name: "efficientnet-b0/blocks_15/se/mul_1" op: "Mul" input: "efficientnet-b0/blocks_15/mul_1" input: "efficientnet-b0/blocks_15/se/Sigmoid_1" } node { name: "efficientnet-b0/blocks_15/conv2d_1/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_15/se/mul_1" input: "efficientnet-b0/blocks_15/conv2d_1/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/FusedBatchNormV3" op: "FusedBatchNormV3" input: "efficientnet-b0/blocks_15/conv2d_1/Conv2D" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/gamma" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/beta" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/moving_mean" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode5/resample_0_2_10/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode5/resample_0_2_10/conv2d/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/conv2d/Conv2D" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode5/resample_0_2_10/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/conv2d/BiasAdd" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/bn/gamma" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/bn/beta" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/bn/moving_mean" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode5/mul" op: "Mul" input: "fpn_cells/cell_0/fnode5/resample_0_2_10/bn/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode5/Relu/_26__cf__26" } node { name: "fpn_cells/cell_0/fnode5/truediv" op: "Mul" input: "fpn_cells/cell_0/fnode5/mul" input: "fpn_cells/cell_0/fnode5/add/_29__cf__29/inv" } node { name: "fpn_cells/cell_0/fnode1/resample_0_2_6/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode1/resample_0_2_6/conv2d/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/conv2d/Conv2D" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode1/resample_0_2_6/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/conv2d/BiasAdd" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/bn/gamma" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/bn/beta" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/bn/moving_mean" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode1/mul" op: "Mul" input: "fpn_cells/cell_0/fnode1/resample_0_2_6/bn/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode1/Relu/_8__cf__8" } node { name: "fpn_cells/cell_0/fnode1/truediv" op: "Mul" input: "fpn_cells/cell_0/fnode1/mul" input: "fpn_cells/cell_0/fnode1/add/_10__cf__10/inv" } node { name: "resample_p6/conv2d/Conv2D" op: "Conv2D" input: "efficientnet-b0/blocks_15/tpu_batch_normalization_2/FusedBatchNormV3" input: "resample_p6/conv2d/kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "resample_p6/conv2d/BiasAdd" op: "BiasAdd" input: "resample_p6/conv2d/Conv2D" input: "resample_p6/conv2d/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "resample_p6/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "resample_p6/conv2d/BiasAdd" input: "resample_p6/bn/gamma" input: "resample_p6/bn/beta" input: "resample_p6/bn/moving_mean" input: "resample_p6/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "resample_p6/max_pooling2d/MaxPool" op: "MaxPool" input: "resample_p6/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode6/mul" op: "Mul" input: "resample_p6/max_pooling2d/MaxPool" input: "fpn_cells/cell_0/fnode6/Relu/_32__cf__32" } node { name: "fpn_cells/cell_0/fnode6/truediv" op: "Mul" input: "fpn_cells/cell_0/fnode6/mul" input: "fpn_cells/cell_0/fnode6/add/_35__cf__35/inv" } node { name: "fpn_cells/cell_0/fnode0/mul" op: "Mul" input: "resample_p6/max_pooling2d/MaxPool" input: "fpn_cells/cell_0/fnode0/Relu/_4__cf__4" } node { name: "fpn_cells/cell_0/fnode0/truediv" op: "Mul" input: "fpn_cells/cell_0/fnode0/mul" input: "fpn_cells/cell_0/fnode0/add/_6__cf__6/inv" } node { name: "resample_p7/max_pooling2d/MaxPool" op: "MaxPool" input: "resample_p6/max_pooling2d/MaxPool" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode7/mul" op: "Mul" input: "resample_p7/max_pooling2d/MaxPool" input: "fpn_cells/cell_0/fnode7/Relu/_38__cf__38" } node { name: "fpn_cells/cell_0/fnode7/truediv" op: "Mul" input: "fpn_cells/cell_0/fnode7/mul" input: "fpn_cells/cell_0/fnode7/add/_40__cf__40/inv" } node { name: "fpn_cells/cell_0/fnode0/resample_1_4_5/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "resample_p7/max_pooling2d/MaxPool" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_0/fnode0/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode0/resample_1_4_5/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_0/fnode0/Relu_1/_5__cf__5" } node { name: "fpn_cells/cell_0/fnode0/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode0/mul_1" input: "fpn_cells/cell_0/fnode0/add_1/_7__cf__7/inv" } node { name: "fpn_cells/cell_0/fnode0/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode0/truediv" input: "fpn_cells/cell_0/fnode0/truediv_1" } node { name: "fpn_cells/cell_0/fnode0/op_after_combine5/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode0/AddN_1" } node { name: "fpn_cells/cell_0/fnode0/op_after_combine5/mul" op: "Mul" input: "fpn_cells/cell_0/fnode0/AddN_1" input: "fpn_cells/cell_0/fnode0/op_after_combine5/Sigmoid" } node { name: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode0/op_after_combine5/mul" input: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode0/op_after_combine5/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode0/op_after_combine5/conv/BiasAdd" input: "fpn_cells/cell_0/fnode0/op_after_combine5/bn/gamma" input: "fpn_cells/cell_0/fnode0/op_after_combine5/bn/beta" input: "fpn_cells/cell_0/fnode0/op_after_combine5/bn/moving_mean" input: "fpn_cells/cell_0/fnode0/op_after_combine5/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode6/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode0/op_after_combine5/bn/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode6/Relu_1/_33__cf__33" } node { name: "fpn_cells/cell_0/fnode6/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode6/mul_1" input: "fpn_cells/cell_0/fnode6/add_1/_36__cf__36/inv" } node { name: "fpn_cells/cell_0/fnode1/resample_1_5_6/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_0/fnode0/op_after_combine5/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_0/fnode1/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode1/resample_1_5_6/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_0/fnode1/Relu_1/_9__cf__9" } node { name: "fpn_cells/cell_0/fnode1/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode1/mul_1" input: "fpn_cells/cell_0/fnode1/add_1/_11__cf__11/inv" } node { name: "fpn_cells/cell_0/fnode1/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode1/truediv" input: "fpn_cells/cell_0/fnode1/truediv_1" } node { name: "fpn_cells/cell_0/fnode1/op_after_combine6/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode1/AddN_1" } node { name: "fpn_cells/cell_0/fnode1/op_after_combine6/mul" op: "Mul" input: "fpn_cells/cell_0/fnode1/AddN_1" input: "fpn_cells/cell_0/fnode1/op_after_combine6/Sigmoid" } node { name: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode1/op_after_combine6/mul" input: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode1/op_after_combine6/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode1/op_after_combine6/conv/BiasAdd" input: "fpn_cells/cell_0/fnode1/op_after_combine6/bn/gamma" input: "fpn_cells/cell_0/fnode1/op_after_combine6/bn/beta" input: "fpn_cells/cell_0/fnode1/op_after_combine6/bn/moving_mean" input: "fpn_cells/cell_0/fnode1/op_after_combine6/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode5/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode1/op_after_combine6/bn/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode5/Relu_1/_27__cf__27" } node { name: "fpn_cells/cell_0/fnode5/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode5/mul_1" input: "fpn_cells/cell_0/fnode5/add_1/_30__cf__30/inv" } node { name: "fpn_cells/cell_0/fnode2/resample_1_6_7/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_0/fnode1/op_after_combine6/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_0/fnode2/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode2/resample_1_6_7/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_0/fnode2/Relu_1/_13__cf__13" } node { name: "fpn_cells/cell_0/fnode2/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode2/mul_1" input: "fpn_cells/cell_0/fnode2/add_1/_15__cf__15/inv" } node { name: "fpn_cells/cell_0/fnode2/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode2/truediv" input: "fpn_cells/cell_0/fnode2/truediv_1" } node { name: "fpn_cells/cell_0/fnode2/op_after_combine7/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode2/AddN_1" } node { name: "fpn_cells/cell_0/fnode2/op_after_combine7/mul" op: "Mul" input: "fpn_cells/cell_0/fnode2/AddN_1" input: "fpn_cells/cell_0/fnode2/op_after_combine7/Sigmoid" } node { name: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode2/op_after_combine7/mul" input: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode2/op_after_combine7/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode2/op_after_combine7/conv/BiasAdd" input: "fpn_cells/cell_0/fnode2/op_after_combine7/bn/gamma" input: "fpn_cells/cell_0/fnode2/op_after_combine7/bn/beta" input: "fpn_cells/cell_0/fnode2/op_after_combine7/bn/moving_mean" input: "fpn_cells/cell_0/fnode2/op_after_combine7/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_0/fnode4/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode2/op_after_combine7/bn/FusedBatchNormV3" input: "fpn_cells/cell_0/fnode4/Relu_1/_21__cf__21" } node { name: "fpn_cells/cell_0/fnode4/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode4/mul_1" input: "fpn_cells/cell_0/fnode4/add_1/_24__cf__24/inv" } node { name: "fpn_cells/cell_0/fnode3/resample_1_7_8/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_0/fnode2/op_after_combine7/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_0/fnode3/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode3/resample_1_7_8/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_0/fnode3/Relu_1/_17__cf__17" } node { name: "fpn_cells/cell_0/fnode3/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode3/mul_1" input: "fpn_cells/cell_0/fnode3/add_1/_19__cf__19/inv" } node { name: "fpn_cells/cell_0/fnode3/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode3/truediv" input: "fpn_cells/cell_0/fnode3/truediv_1" } node { name: "fpn_cells/cell_0/fnode3/op_after_combine8/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode3/AddN_1" } node { name: "fpn_cells/cell_0/fnode3/op_after_combine8/mul" op: "Mul" input: "fpn_cells/cell_0/fnode3/AddN_1" input: "fpn_cells/cell_0/fnode3/op_after_combine8/Sigmoid" } node { name: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode3/op_after_combine8/mul" input: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode3/op_after_combine8/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode3/op_after_combine8/conv/BiasAdd" input: "fpn_cells/cell_0/fnode3/op_after_combine8/bn/gamma" input: "fpn_cells/cell_0/fnode3/op_after_combine8/bn/beta" input: "fpn_cells/cell_0/fnode3/op_after_combine8/bn/moving_mean" input: "fpn_cells/cell_0/fnode3/op_after_combine8/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode3/mul" op: "Mul" input: "fpn_cells/cell_0/fnode3/op_after_combine8/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode3/Relu/_54__cf__54" } node { name: "fpn_cells/cell_1/fnode3/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode3/mul" input: "fpn_cells/cell_1/fnode3/add/_56__cf__56/inv" } node { name: "fpn_cells/cell_0/fnode4/resample_2_8_9/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_0/fnode3/op_after_combine8/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode4/mul_2" op: "Mul" input: "fpn_cells/cell_0/fnode4/resample_2_8_9/max_pooling2d/MaxPool" input: "fpn_cells/cell_0/fnode4/Relu_2/_22__cf__22" } node { name: "fpn_cells/cell_0/fnode4/truediv_2" op: "Mul" input: "fpn_cells/cell_0/fnode4/mul_2" input: "fpn_cells/cell_0/fnode4/add_2/_25__cf__25/inv" } node { name: "fpn_cells/cell_0/fnode4/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode4/truediv" input: "fpn_cells/cell_0/fnode4/truediv_1" input: "fpn_cells/cell_0/fnode4/truediv_2" } node { name: "fpn_cells/cell_0/fnode4/op_after_combine9/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode4/AddN_1" } node { name: "fpn_cells/cell_0/fnode4/op_after_combine9/mul" op: "Mul" input: "fpn_cells/cell_0/fnode4/AddN_1" input: "fpn_cells/cell_0/fnode4/op_after_combine9/Sigmoid" } node { name: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode4/op_after_combine9/mul" input: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode4/op_after_combine9/conv/BiasAdd" input: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/gamma" input: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/beta" input: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/moving_mean" input: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode4/mul" op: "Mul" input: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode4/Relu/_58__cf__58" } node { name: "fpn_cells/cell_1/fnode4/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode4/mul" input: "fpn_cells/cell_1/fnode4/add/_61__cf__61/inv" } node { name: "fpn_cells/cell_1/fnode2/mul" op: "Mul" input: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode2/Relu/_50__cf__50" } node { name: "fpn_cells/cell_1/fnode2/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode2/mul" input: "fpn_cells/cell_1/fnode2/add/_52__cf__52/inv" } node { name: "fpn_cells/cell_0/fnode5/resample_2_9_10/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_0/fnode4/op_after_combine9/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode5/mul_2" op: "Mul" input: "fpn_cells/cell_0/fnode5/resample_2_9_10/max_pooling2d/MaxPool" input: "fpn_cells/cell_0/fnode5/Relu_2/_28__cf__28" } node { name: "fpn_cells/cell_0/fnode5/truediv_2" op: "Mul" input: "fpn_cells/cell_0/fnode5/mul_2" input: "fpn_cells/cell_0/fnode5/add_2/_31__cf__31/inv" } node { name: "fpn_cells/cell_0/fnode5/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode5/truediv" input: "fpn_cells/cell_0/fnode5/truediv_1" input: "fpn_cells/cell_0/fnode5/truediv_2" } node { name: "fpn_cells/cell_0/fnode5/op_after_combine10/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode5/AddN_1" } node { name: "fpn_cells/cell_0/fnode5/op_after_combine10/mul" op: "Mul" input: "fpn_cells/cell_0/fnode5/AddN_1" input: "fpn_cells/cell_0/fnode5/op_after_combine10/Sigmoid" } node { name: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode5/op_after_combine10/mul" input: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode5/op_after_combine10/conv/BiasAdd" input: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/gamma" input: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/beta" input: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/moving_mean" input: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode5/mul" op: "Mul" input: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode5/Relu/_64__cf__64" } node { name: "fpn_cells/cell_1/fnode5/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode5/mul" input: "fpn_cells/cell_1/fnode5/add/_67__cf__67/inv" } node { name: "fpn_cells/cell_1/fnode1/mul" op: "Mul" input: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode1/Relu/_46__cf__46" } node { name: "fpn_cells/cell_1/fnode1/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode1/mul" input: "fpn_cells/cell_1/fnode1/add/_48__cf__48/inv" } node { name: "fpn_cells/cell_0/fnode6/resample_2_10_11/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_0/fnode5/op_after_combine10/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode6/mul_2" op: "Mul" input: "fpn_cells/cell_0/fnode6/resample_2_10_11/max_pooling2d/MaxPool" input: "fpn_cells/cell_0/fnode6/Relu_2/_34__cf__34" } node { name: "fpn_cells/cell_0/fnode6/truediv_2" op: "Mul" input: "fpn_cells/cell_0/fnode6/mul_2" input: "fpn_cells/cell_0/fnode6/add_2/_37__cf__37/inv" } node { name: "fpn_cells/cell_0/fnode6/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode6/truediv" input: "fpn_cells/cell_0/fnode6/truediv_1" input: "fpn_cells/cell_0/fnode6/truediv_2" } node { name: "fpn_cells/cell_0/fnode6/op_after_combine11/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode6/AddN_1" } node { name: "fpn_cells/cell_0/fnode6/op_after_combine11/mul" op: "Mul" input: "fpn_cells/cell_0/fnode6/AddN_1" input: "fpn_cells/cell_0/fnode6/op_after_combine11/Sigmoid" } node { name: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode6/op_after_combine11/mul" input: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode6/op_after_combine11/conv/BiasAdd" input: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/gamma" input: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/beta" input: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/moving_mean" input: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode6/mul" op: "Mul" input: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode6/Relu/_70__cf__70" } node { name: "fpn_cells/cell_1/fnode6/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode6/mul" input: "fpn_cells/cell_1/fnode6/add/_73__cf__73/inv" } node { name: "fpn_cells/cell_1/fnode0/mul" op: "Mul" input: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode0/Relu/_42__cf__42" } node { name: "fpn_cells/cell_1/fnode0/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode0/mul" input: "fpn_cells/cell_1/fnode0/add/_44__cf__44/inv" } node { name: "fpn_cells/cell_0/fnode7/resample_1_11_12/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_0/fnode6/op_after_combine11/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode7/mul_1" op: "Mul" input: "fpn_cells/cell_0/fnode7/resample_1_11_12/max_pooling2d/MaxPool" input: "fpn_cells/cell_0/fnode7/Relu_1/_39__cf__39" } node { name: "fpn_cells/cell_0/fnode7/truediv_1" op: "Mul" input: "fpn_cells/cell_0/fnode7/mul_1" input: "fpn_cells/cell_0/fnode7/add_1/_41__cf__41/inv" } node { name: "fpn_cells/cell_0/fnode7/AddN_1" op: "AddN" input: "fpn_cells/cell_0/fnode7/truediv" input: "fpn_cells/cell_0/fnode7/truediv_1" } node { name: "fpn_cells/cell_0/fnode7/op_after_combine12/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_0/fnode7/AddN_1" } node { name: "fpn_cells/cell_0/fnode7/op_after_combine12/mul" op: "Mul" input: "fpn_cells/cell_0/fnode7/AddN_1" input: "fpn_cells/cell_0/fnode7/op_after_combine12/Sigmoid" } node { name: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_0/fnode7/op_after_combine12/mul" input: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/separable_conv2d" input: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_0/fnode7/op_after_combine12/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_0/fnode7/op_after_combine12/conv/BiasAdd" input: "fpn_cells/cell_0/fnode7/op_after_combine12/bn/gamma" input: "fpn_cells/cell_0/fnode7/op_after_combine12/bn/beta" input: "fpn_cells/cell_0/fnode7/op_after_combine12/bn/moving_mean" input: "fpn_cells/cell_0/fnode7/op_after_combine12/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode7/mul" op: "Mul" input: "fpn_cells/cell_0/fnode7/op_after_combine12/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode7/Relu/_76__cf__76" } node { name: "fpn_cells/cell_1/fnode7/truediv" op: "Mul" input: "fpn_cells/cell_1/fnode7/mul" input: "fpn_cells/cell_1/fnode7/add/_78__cf__78/inv" } node { name: "fpn_cells/cell_1/fnode0/resample_1_4_5/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_0/fnode7/op_after_combine12/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_1/fnode0/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode0/resample_1_4_5/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_1/fnode0/Relu_1/_43__cf__43" } node { name: "fpn_cells/cell_1/fnode0/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode0/mul_1" input: "fpn_cells/cell_1/fnode0/add_1/_45__cf__45/inv" } node { name: "fpn_cells/cell_1/fnode0/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode0/truediv" input: "fpn_cells/cell_1/fnode0/truediv_1" } node { name: "fpn_cells/cell_1/fnode0/op_after_combine5/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode0/AddN_1" } node { name: "fpn_cells/cell_1/fnode0/op_after_combine5/mul" op: "Mul" input: "fpn_cells/cell_1/fnode0/AddN_1" input: "fpn_cells/cell_1/fnode0/op_after_combine5/Sigmoid" } node { name: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode0/op_after_combine5/mul" input: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode0/op_after_combine5/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode0/op_after_combine5/conv/BiasAdd" input: "fpn_cells/cell_1/fnode0/op_after_combine5/bn/gamma" input: "fpn_cells/cell_1/fnode0/op_after_combine5/bn/beta" input: "fpn_cells/cell_1/fnode0/op_after_combine5/bn/moving_mean" input: "fpn_cells/cell_1/fnode0/op_after_combine5/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode6/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode0/op_after_combine5/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode6/Relu_1/_71__cf__71" } node { name: "fpn_cells/cell_1/fnode6/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode6/mul_1" input: "fpn_cells/cell_1/fnode6/add_1/_74__cf__74/inv" } node { name: "fpn_cells/cell_1/fnode1/resample_1_5_6/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_1/fnode0/op_after_combine5/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_1/fnode1/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode1/resample_1_5_6/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_1/fnode1/Relu_1/_47__cf__47" } node { name: "fpn_cells/cell_1/fnode1/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode1/mul_1" input: "fpn_cells/cell_1/fnode1/add_1/_49__cf__49/inv" } node { name: "fpn_cells/cell_1/fnode1/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode1/truediv" input: "fpn_cells/cell_1/fnode1/truediv_1" } node { name: "fpn_cells/cell_1/fnode1/op_after_combine6/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode1/AddN_1" } node { name: "fpn_cells/cell_1/fnode1/op_after_combine6/mul" op: "Mul" input: "fpn_cells/cell_1/fnode1/AddN_1" input: "fpn_cells/cell_1/fnode1/op_after_combine6/Sigmoid" } node { name: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode1/op_after_combine6/mul" input: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode1/op_after_combine6/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode1/op_after_combine6/conv/BiasAdd" input: "fpn_cells/cell_1/fnode1/op_after_combine6/bn/gamma" input: "fpn_cells/cell_1/fnode1/op_after_combine6/bn/beta" input: "fpn_cells/cell_1/fnode1/op_after_combine6/bn/moving_mean" input: "fpn_cells/cell_1/fnode1/op_after_combine6/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode5/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode1/op_after_combine6/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode5/Relu_1/_65__cf__65" } node { name: "fpn_cells/cell_1/fnode5/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode5/mul_1" input: "fpn_cells/cell_1/fnode5/add_1/_68__cf__68/inv" } node { name: "fpn_cells/cell_1/fnode2/resample_1_6_7/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_1/fnode1/op_after_combine6/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_1/fnode2/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode2/resample_1_6_7/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_1/fnode2/Relu_1/_51__cf__51" } node { name: "fpn_cells/cell_1/fnode2/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode2/mul_1" input: "fpn_cells/cell_1/fnode2/add_1/_53__cf__53/inv" } node { name: "fpn_cells/cell_1/fnode2/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode2/truediv" input: "fpn_cells/cell_1/fnode2/truediv_1" } node { name: "fpn_cells/cell_1/fnode2/op_after_combine7/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode2/AddN_1" } node { name: "fpn_cells/cell_1/fnode2/op_after_combine7/mul" op: "Mul" input: "fpn_cells/cell_1/fnode2/AddN_1" input: "fpn_cells/cell_1/fnode2/op_after_combine7/Sigmoid" } node { name: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode2/op_after_combine7/mul" input: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode2/op_after_combine7/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode2/op_after_combine7/conv/BiasAdd" input: "fpn_cells/cell_1/fnode2/op_after_combine7/bn/gamma" input: "fpn_cells/cell_1/fnode2/op_after_combine7/bn/beta" input: "fpn_cells/cell_1/fnode2/op_after_combine7/bn/moving_mean" input: "fpn_cells/cell_1/fnode2/op_after_combine7/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_1/fnode4/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode2/op_after_combine7/bn/FusedBatchNormV3" input: "fpn_cells/cell_1/fnode4/Relu_1/_59__cf__59" } node { name: "fpn_cells/cell_1/fnode4/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode4/mul_1" input: "fpn_cells/cell_1/fnode4/add_1/_62__cf__62/inv" } node { name: "fpn_cells/cell_1/fnode3/resample_1_7_8/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_1/fnode2/op_after_combine7/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_1/fnode3/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode3/resample_1_7_8/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_1/fnode3/Relu_1/_55__cf__55" } node { name: "fpn_cells/cell_1/fnode3/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode3/mul_1" input: "fpn_cells/cell_1/fnode3/add_1/_57__cf__57/inv" } node { name: "fpn_cells/cell_1/fnode3/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode3/truediv" input: "fpn_cells/cell_1/fnode3/truediv_1" } node { name: "fpn_cells/cell_1/fnode3/op_after_combine8/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode3/AddN_1" } node { name: "fpn_cells/cell_1/fnode3/op_after_combine8/mul" op: "Mul" input: "fpn_cells/cell_1/fnode3/AddN_1" input: "fpn_cells/cell_1/fnode3/op_after_combine8/Sigmoid" } node { name: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode3/op_after_combine8/mul" input: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode3/op_after_combine8/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode3/op_after_combine8/conv/BiasAdd" input: "fpn_cells/cell_1/fnode3/op_after_combine8/bn/gamma" input: "fpn_cells/cell_1/fnode3/op_after_combine8/bn/beta" input: "fpn_cells/cell_1/fnode3/op_after_combine8/bn/moving_mean" input: "fpn_cells/cell_1/fnode3/op_after_combine8/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode3/mul" op: "Mul" input: "fpn_cells/cell_1/fnode3/op_after_combine8/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode3/Relu/_92__cf__92" } node { name: "fpn_cells/cell_2/fnode3/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode3/mul" input: "fpn_cells/cell_2/fnode3/add/_94__cf__94/inv" } node { name: "fpn_cells/cell_1/fnode4/resample_2_8_9/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_1/fnode3/op_after_combine8/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode4/mul_2" op: "Mul" input: "fpn_cells/cell_1/fnode4/resample_2_8_9/max_pooling2d/MaxPool" input: "fpn_cells/cell_1/fnode4/Relu_2/_60__cf__60" } node { name: "fpn_cells/cell_1/fnode4/truediv_2" op: "Mul" input: "fpn_cells/cell_1/fnode4/mul_2" input: "fpn_cells/cell_1/fnode4/add_2/_63__cf__63/inv" } node { name: "fpn_cells/cell_1/fnode4/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode4/truediv" input: "fpn_cells/cell_1/fnode4/truediv_1" input: "fpn_cells/cell_1/fnode4/truediv_2" } node { name: "fpn_cells/cell_1/fnode4/op_after_combine9/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode4/AddN_1" } node { name: "fpn_cells/cell_1/fnode4/op_after_combine9/mul" op: "Mul" input: "fpn_cells/cell_1/fnode4/AddN_1" input: "fpn_cells/cell_1/fnode4/op_after_combine9/Sigmoid" } node { name: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode4/op_after_combine9/mul" input: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode4/op_after_combine9/conv/BiasAdd" input: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/gamma" input: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/beta" input: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/moving_mean" input: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode4/mul" op: "Mul" input: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode4/Relu/_96__cf__96" } node { name: "fpn_cells/cell_2/fnode4/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode4/mul" input: "fpn_cells/cell_2/fnode4/add/_99__cf__99/inv" } node { name: "fpn_cells/cell_2/fnode2/mul" op: "Mul" input: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode2/Relu/_88__cf__88" } node { name: "fpn_cells/cell_2/fnode2/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode2/mul" input: "fpn_cells/cell_2/fnode2/add/_90__cf__90/inv" } node { name: "fpn_cells/cell_1/fnode5/resample_2_9_10/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_1/fnode4/op_after_combine9/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode5/mul_2" op: "Mul" input: "fpn_cells/cell_1/fnode5/resample_2_9_10/max_pooling2d/MaxPool" input: "fpn_cells/cell_1/fnode5/Relu_2/_66__cf__66" } node { name: "fpn_cells/cell_1/fnode5/truediv_2" op: "Mul" input: "fpn_cells/cell_1/fnode5/mul_2" input: "fpn_cells/cell_1/fnode5/add_2/_69__cf__69/inv" } node { name: "fpn_cells/cell_1/fnode5/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode5/truediv" input: "fpn_cells/cell_1/fnode5/truediv_1" input: "fpn_cells/cell_1/fnode5/truediv_2" } node { name: "fpn_cells/cell_1/fnode5/op_after_combine10/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode5/AddN_1" } node { name: "fpn_cells/cell_1/fnode5/op_after_combine10/mul" op: "Mul" input: "fpn_cells/cell_1/fnode5/AddN_1" input: "fpn_cells/cell_1/fnode5/op_after_combine10/Sigmoid" } node { name: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode5/op_after_combine10/mul" input: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode5/op_after_combine10/conv/BiasAdd" input: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/gamma" input: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/beta" input: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/moving_mean" input: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode5/mul" op: "Mul" input: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode5/Relu/_102__cf__102" } node { name: "fpn_cells/cell_2/fnode5/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode5/mul" input: "fpn_cells/cell_2/fnode5/add/_105__cf__105/inv" } node { name: "fpn_cells/cell_2/fnode1/mul" op: "Mul" input: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode1/Relu/_84__cf__84" } node { name: "fpn_cells/cell_2/fnode1/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode1/mul" input: "fpn_cells/cell_2/fnode1/add/_86__cf__86/inv" } node { name: "fpn_cells/cell_1/fnode6/resample_2_10_11/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_1/fnode5/op_after_combine10/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode6/mul_2" op: "Mul" input: "fpn_cells/cell_1/fnode6/resample_2_10_11/max_pooling2d/MaxPool" input: "fpn_cells/cell_1/fnode6/Relu_2/_72__cf__72" } node { name: "fpn_cells/cell_1/fnode6/truediv_2" op: "Mul" input: "fpn_cells/cell_1/fnode6/mul_2" input: "fpn_cells/cell_1/fnode6/add_2/_75__cf__75/inv" } node { name: "fpn_cells/cell_1/fnode6/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode6/truediv" input: "fpn_cells/cell_1/fnode6/truediv_1" input: "fpn_cells/cell_1/fnode6/truediv_2" } node { name: "fpn_cells/cell_1/fnode6/op_after_combine11/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode6/AddN_1" } node { name: "fpn_cells/cell_1/fnode6/op_after_combine11/mul" op: "Mul" input: "fpn_cells/cell_1/fnode6/AddN_1" input: "fpn_cells/cell_1/fnode6/op_after_combine11/Sigmoid" } node { name: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode6/op_after_combine11/mul" input: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode6/op_after_combine11/conv/BiasAdd" input: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/gamma" input: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/beta" input: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/moving_mean" input: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode6/mul" op: "Mul" input: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode6/Relu/_108__cf__108" } node { name: "fpn_cells/cell_2/fnode6/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode6/mul" input: "fpn_cells/cell_2/fnode6/add/_111__cf__111/inv" } node { name: "fpn_cells/cell_2/fnode0/mul" op: "Mul" input: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode0/Relu/_80__cf__80" } node { name: "fpn_cells/cell_2/fnode0/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode0/mul" input: "fpn_cells/cell_2/fnode0/add/_82__cf__82/inv" } node { name: "fpn_cells/cell_1/fnode7/resample_1_11_12/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_1/fnode6/op_after_combine11/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode7/mul_1" op: "Mul" input: "fpn_cells/cell_1/fnode7/resample_1_11_12/max_pooling2d/MaxPool" input: "fpn_cells/cell_1/fnode7/Relu_1/_77__cf__77" } node { name: "fpn_cells/cell_1/fnode7/truediv_1" op: "Mul" input: "fpn_cells/cell_1/fnode7/mul_1" input: "fpn_cells/cell_1/fnode7/add_1/_79__cf__79/inv" } node { name: "fpn_cells/cell_1/fnode7/AddN_1" op: "AddN" input: "fpn_cells/cell_1/fnode7/truediv" input: "fpn_cells/cell_1/fnode7/truediv_1" } node { name: "fpn_cells/cell_1/fnode7/op_after_combine12/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_1/fnode7/AddN_1" } node { name: "fpn_cells/cell_1/fnode7/op_after_combine12/mul" op: "Mul" input: "fpn_cells/cell_1/fnode7/AddN_1" input: "fpn_cells/cell_1/fnode7/op_after_combine12/Sigmoid" } node { name: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_1/fnode7/op_after_combine12/mul" input: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/separable_conv2d" input: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_1/fnode7/op_after_combine12/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_1/fnode7/op_after_combine12/conv/BiasAdd" input: "fpn_cells/cell_1/fnode7/op_after_combine12/bn/gamma" input: "fpn_cells/cell_1/fnode7/op_after_combine12/bn/beta" input: "fpn_cells/cell_1/fnode7/op_after_combine12/bn/moving_mean" input: "fpn_cells/cell_1/fnode7/op_after_combine12/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode7/mul" op: "Mul" input: "fpn_cells/cell_1/fnode7/op_after_combine12/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode7/Relu/_114__cf__114" } node { name: "fpn_cells/cell_2/fnode7/truediv" op: "Mul" input: "fpn_cells/cell_2/fnode7/mul" input: "fpn_cells/cell_2/fnode7/add/_116__cf__116/inv" } node { name: "fpn_cells/cell_2/fnode0/resample_1_4_5/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_1/fnode7/op_after_combine12/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_2/fnode0/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode0/resample_1_4_5/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_2/fnode0/Relu_1/_81__cf__81" } node { name: "fpn_cells/cell_2/fnode0/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode0/mul_1" input: "fpn_cells/cell_2/fnode0/add_1/_83__cf__83/inv" } node { name: "fpn_cells/cell_2/fnode0/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode0/truediv" input: "fpn_cells/cell_2/fnode0/truediv_1" } node { name: "fpn_cells/cell_2/fnode0/op_after_combine5/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode0/AddN_1" } node { name: "fpn_cells/cell_2/fnode0/op_after_combine5/mul" op: "Mul" input: "fpn_cells/cell_2/fnode0/AddN_1" input: "fpn_cells/cell_2/fnode0/op_after_combine5/Sigmoid" } node { name: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode0/op_after_combine5/mul" input: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode0/op_after_combine5/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode0/op_after_combine5/conv/BiasAdd" input: "fpn_cells/cell_2/fnode0/op_after_combine5/bn/gamma" input: "fpn_cells/cell_2/fnode0/op_after_combine5/bn/beta" input: "fpn_cells/cell_2/fnode0/op_after_combine5/bn/moving_mean" input: "fpn_cells/cell_2/fnode0/op_after_combine5/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode6/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode0/op_after_combine5/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode6/Relu_1/_109__cf__109" } node { name: "fpn_cells/cell_2/fnode6/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode6/mul_1" input: "fpn_cells/cell_2/fnode6/add_1/_112__cf__112/inv" } node { name: "fpn_cells/cell_2/fnode1/resample_1_5_6/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_2/fnode0/op_after_combine5/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_2/fnode1/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode1/resample_1_5_6/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_2/fnode1/Relu_1/_85__cf__85" } node { name: "fpn_cells/cell_2/fnode1/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode1/mul_1" input: "fpn_cells/cell_2/fnode1/add_1/_87__cf__87/inv" } node { name: "fpn_cells/cell_2/fnode1/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode1/truediv" input: "fpn_cells/cell_2/fnode1/truediv_1" } node { name: "fpn_cells/cell_2/fnode1/op_after_combine6/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode1/AddN_1" } node { name: "fpn_cells/cell_2/fnode1/op_after_combine6/mul" op: "Mul" input: "fpn_cells/cell_2/fnode1/AddN_1" input: "fpn_cells/cell_2/fnode1/op_after_combine6/Sigmoid" } node { name: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode1/op_after_combine6/mul" input: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode1/op_after_combine6/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode1/op_after_combine6/conv/BiasAdd" input: "fpn_cells/cell_2/fnode1/op_after_combine6/bn/gamma" input: "fpn_cells/cell_2/fnode1/op_after_combine6/bn/beta" input: "fpn_cells/cell_2/fnode1/op_after_combine6/bn/moving_mean" input: "fpn_cells/cell_2/fnode1/op_after_combine6/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode5/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode1/op_after_combine6/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode5/Relu_1/_103__cf__103" } node { name: "fpn_cells/cell_2/fnode5/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode5/mul_1" input: "fpn_cells/cell_2/fnode5/add_1/_106__cf__106/inv" } node { name: "fpn_cells/cell_2/fnode2/resample_1_6_7/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_2/fnode1/op_after_combine6/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_2/fnode2/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode2/resample_1_6_7/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_2/fnode2/Relu_1/_89__cf__89" } node { name: "fpn_cells/cell_2/fnode2/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode2/mul_1" input: "fpn_cells/cell_2/fnode2/add_1/_91__cf__91/inv" } node { name: "fpn_cells/cell_2/fnode2/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode2/truediv" input: "fpn_cells/cell_2/fnode2/truediv_1" } node { name: "fpn_cells/cell_2/fnode2/op_after_combine7/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode2/AddN_1" } node { name: "fpn_cells/cell_2/fnode2/op_after_combine7/mul" op: "Mul" input: "fpn_cells/cell_2/fnode2/AddN_1" input: "fpn_cells/cell_2/fnode2/op_after_combine7/Sigmoid" } node { name: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode2/op_after_combine7/mul" input: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode2/op_after_combine7/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode2/op_after_combine7/conv/BiasAdd" input: "fpn_cells/cell_2/fnode2/op_after_combine7/bn/gamma" input: "fpn_cells/cell_2/fnode2/op_after_combine7/bn/beta" input: "fpn_cells/cell_2/fnode2/op_after_combine7/bn/moving_mean" input: "fpn_cells/cell_2/fnode2/op_after_combine7/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "fpn_cells/cell_2/fnode4/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode2/op_after_combine7/bn/FusedBatchNormV3" input: "fpn_cells/cell_2/fnode4/Relu_1/_97__cf__97" } node { name: "fpn_cells/cell_2/fnode4/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode4/mul_1" input: "fpn_cells/cell_2/fnode4/add_1/_100__cf__100/inv" } node { name: "fpn_cells/cell_2/fnode3/resample_1_7_8/nearest_upsampling/Reshape_1" op: "ResizeNearestNeighbor" input: "fpn_cells/cell_2/fnode2/op_after_combine7/bn/FusedBatchNormV3" input: "scale_w" input: "scale_h" } node { name: "fpn_cells/cell_2/fnode3/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode3/resample_1_7_8/nearest_upsampling/Reshape_1" input: "fpn_cells/cell_2/fnode3/Relu_1/_93__cf__93" } node { name: "fpn_cells/cell_2/fnode3/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode3/mul_1" input: "fpn_cells/cell_2/fnode3/add_1/_95__cf__95/inv" } node { name: "fpn_cells/cell_2/fnode3/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode3/truediv" input: "fpn_cells/cell_2/fnode3/truediv_1" } node { name: "fpn_cells/cell_2/fnode3/op_after_combine8/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode3/AddN_1" } node { name: "fpn_cells/cell_2/fnode3/op_after_combine8/mul" op: "Mul" input: "fpn_cells/cell_2/fnode3/AddN_1" input: "fpn_cells/cell_2/fnode3/op_after_combine8/Sigmoid" } node { name: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode3/op_after_combine8/mul" input: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode3/op_after_combine8/conv/BiasAdd" input: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/gamma" input: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/beta" input: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/moving_mean" input: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/box-0/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/FusedBatchNormV3" input: "box_net/box-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-0/separable_conv2d" op: "Conv2D" input: "box_net/box-0/separable_conv2d/depthwise" input: "box_net/box-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-0/BiasAdd" op: "BiasAdd" input: "box_net/box-0/separable_conv2d" input: "box_net/box-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-0-bn-3/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-0/BiasAdd" input: "box_net/box-0-bn-3/gamma" input: "box_net/box-0-bn-3/beta" input: "box_net/box-0-bn-3/moving_mean" input: "box_net/box-0-bn-3/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid" op: "Sigmoid" input: "box_net/box-0-bn-3/FusedBatchNormV3" } node { name: "box_net/mul" op: "Mul" input: "box_net/box-0-bn-3/FusedBatchNormV3" input: "box_net/Sigmoid" } node { name: "box_net/box-1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul" input: "box_net/box-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-1/separable_conv2d" op: "Conv2D" input: "box_net/box-1/separable_conv2d/depthwise" input: "box_net/box-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-1/BiasAdd" op: "BiasAdd" input: "box_net/box-1/separable_conv2d" input: "box_net/box-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-1-bn-3/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-1/BiasAdd" input: "box_net/box-1-bn-3/gamma" input: "box_net/box-1-bn-3/beta" input: "box_net/box-1-bn-3/moving_mean" input: "box_net/box-1-bn-3/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_1" op: "Sigmoid" input: "box_net/box-1-bn-3/FusedBatchNormV3" } node { name: "box_net/mul_1" op: "Mul" input: "box_net/box-1-bn-3/FusedBatchNormV3" input: "box_net/Sigmoid_1" } node { name: "box_net/box-2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_1" input: "box_net/box-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-2/separable_conv2d" op: "Conv2D" input: "box_net/box-2/separable_conv2d/depthwise" input: "box_net/box-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-2/BiasAdd" op: "BiasAdd" input: "box_net/box-2/separable_conv2d" input: "box_net/box-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-2-bn-3/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-2/BiasAdd" input: "box_net/box-2-bn-3/gamma" input: "box_net/box-2-bn-3/beta" input: "box_net/box-2-bn-3/moving_mean" input: "box_net/box-2-bn-3/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_2" op: "Sigmoid" input: "box_net/box-2-bn-3/FusedBatchNormV3" } node { name: "box_net/mul_2" op: "Mul" input: "box_net/box-2-bn-3/FusedBatchNormV3" input: "box_net/Sigmoid_2" } node { name: "box_net/box-predict/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_2" input: "box_net/box-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-predict/separable_conv2d" op: "Conv2D" input: "box_net/box-predict/separable_conv2d/depthwise" input: "box_net/box-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "loc_pred_transposed" value { b: true } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-predict/BiasAdd" op: "BiasAdd" input: "box_net/box-predict/separable_conv2d" input: "box_net/box-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape_1" op: "Reshape" input: "box_net/box-predict/BiasAdd" input: "Reshape_1/shape" } node { name: "class_net/class-0/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/FusedBatchNormV3" input: "class_net/class-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-0/separable_conv2d" op: "Conv2D" input: "class_net/class-0/separable_conv2d/depthwise" input: "class_net/class-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-0/BiasAdd" op: "BiasAdd" input: "class_net/class-0/separable_conv2d" input: "class_net/class-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-0-bn-3/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-0/BiasAdd" input: "class_net/class-0-bn-3/gamma" input: "class_net/class-0-bn-3/beta" input: "class_net/class-0-bn-3/moving_mean" input: "class_net/class-0-bn-3/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid" op: "Sigmoid" input: "class_net/class-0-bn-3/FusedBatchNormV3" } node { name: "class_net/mul" op: "Mul" input: "class_net/class-0-bn-3/FusedBatchNormV3" input: "class_net/Sigmoid" } node { name: "class_net/class-1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul" input: "class_net/class-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-1/separable_conv2d" op: "Conv2D" input: "class_net/class-1/separable_conv2d/depthwise" input: "class_net/class-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-1/BiasAdd" op: "BiasAdd" input: "class_net/class-1/separable_conv2d" input: "class_net/class-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-1-bn-3/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-1/BiasAdd" input: "class_net/class-1-bn-3/gamma" input: "class_net/class-1-bn-3/beta" input: "class_net/class-1-bn-3/moving_mean" input: "class_net/class-1-bn-3/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_1" op: "Sigmoid" input: "class_net/class-1-bn-3/FusedBatchNormV3" } node { name: "class_net/mul_1" op: "Mul" input: "class_net/class-1-bn-3/FusedBatchNormV3" input: "class_net/Sigmoid_1" } node { name: "class_net/class-2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_1" input: "class_net/class-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-2/separable_conv2d" op: "Conv2D" input: "class_net/class-2/separable_conv2d/depthwise" input: "class_net/class-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-2/BiasAdd" op: "BiasAdd" input: "class_net/class-2/separable_conv2d" input: "class_net/class-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-2-bn-3/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-2/BiasAdd" input: "class_net/class-2-bn-3/gamma" input: "class_net/class-2-bn-3/beta" input: "class_net/class-2-bn-3/moving_mean" input: "class_net/class-2-bn-3/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_2" op: "Sigmoid" input: "class_net/class-2-bn-3/FusedBatchNormV3" } node { name: "class_net/mul_2" op: "Mul" input: "class_net/class-2-bn-3/FusedBatchNormV3" input: "class_net/Sigmoid_2" } node { name: "class_net/class-predict/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_2" input: "class_net/class-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-predict/separable_conv2d" op: "Conv2D" input: "class_net/class-predict/separable_conv2d/depthwise" input: "class_net/class-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-predict/BiasAdd" op: "BiasAdd" input: "class_net/class-predict/separable_conv2d" input: "class_net/class-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape" op: "Reshape" input: "class_net/class-predict/BiasAdd" input: "Reshape/shape" } node { name: "fpn_cells/cell_2/fnode4/resample_2_8_9/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_2/fnode3/op_after_combine8/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode4/mul_2" op: "Mul" input: "fpn_cells/cell_2/fnode4/resample_2_8_9/max_pooling2d/MaxPool" input: "fpn_cells/cell_2/fnode4/Relu_2/_98__cf__98" } node { name: "fpn_cells/cell_2/fnode4/truediv_2" op: "Mul" input: "fpn_cells/cell_2/fnode4/mul_2" input: "fpn_cells/cell_2/fnode4/add_2/_101__cf__101/inv" } node { name: "fpn_cells/cell_2/fnode4/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode4/truediv" input: "fpn_cells/cell_2/fnode4/truediv_1" input: "fpn_cells/cell_2/fnode4/truediv_2" } node { name: "fpn_cells/cell_2/fnode4/op_after_combine9/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode4/AddN_1" } node { name: "fpn_cells/cell_2/fnode4/op_after_combine9/mul" op: "Mul" input: "fpn_cells/cell_2/fnode4/AddN_1" input: "fpn_cells/cell_2/fnode4/op_after_combine9/Sigmoid" } node { name: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode4/op_after_combine9/mul" input: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode4/op_after_combine9/conv/BiasAdd" input: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/gamma" input: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/beta" input: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/moving_mean" input: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/box-0_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/FusedBatchNormV3" input: "box_net/box-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-0_1/separable_conv2d" op: "Conv2D" input: "box_net/box-0_1/separable_conv2d/depthwise" input: "box_net/box-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-0_1/BiasAdd" op: "BiasAdd" input: "box_net/box-0_1/separable_conv2d" input: "box_net/box-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-0-bn-4/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-0_1/BiasAdd" input: "box_net/box-0-bn-4/gamma" input: "box_net/box-0-bn-4/beta" input: "box_net/box-0-bn-4/moving_mean" input: "box_net/box-0-bn-4/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_3" op: "Sigmoid" input: "box_net/box-0-bn-4/FusedBatchNormV3" } node { name: "box_net/mul_3" op: "Mul" input: "box_net/box-0-bn-4/FusedBatchNormV3" input: "box_net/Sigmoid_3" } node { name: "box_net/box-1_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_3" input: "box_net/box-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-1_1/separable_conv2d" op: "Conv2D" input: "box_net/box-1_1/separable_conv2d/depthwise" input: "box_net/box-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-1_1/BiasAdd" op: "BiasAdd" input: "box_net/box-1_1/separable_conv2d" input: "box_net/box-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-1-bn-4/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-1_1/BiasAdd" input: "box_net/box-1-bn-4/gamma" input: "box_net/box-1-bn-4/beta" input: "box_net/box-1-bn-4/moving_mean" input: "box_net/box-1-bn-4/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_4" op: "Sigmoid" input: "box_net/box-1-bn-4/FusedBatchNormV3" } node { name: "box_net/mul_4" op: "Mul" input: "box_net/box-1-bn-4/FusedBatchNormV3" input: "box_net/Sigmoid_4" } node { name: "box_net/box-2_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_4" input: "box_net/box-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-2_1/separable_conv2d" op: "Conv2D" input: "box_net/box-2_1/separable_conv2d/depthwise" input: "box_net/box-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-2_1/BiasAdd" op: "BiasAdd" input: "box_net/box-2_1/separable_conv2d" input: "box_net/box-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-2-bn-4/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-2_1/BiasAdd" input: "box_net/box-2-bn-4/gamma" input: "box_net/box-2-bn-4/beta" input: "box_net/box-2-bn-4/moving_mean" input: "box_net/box-2-bn-4/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_5" op: "Sigmoid" input: "box_net/box-2-bn-4/FusedBatchNormV3" } node { name: "box_net/mul_5" op: "Mul" input: "box_net/box-2-bn-4/FusedBatchNormV3" input: "box_net/Sigmoid_5" } node { name: "box_net/box-predict_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_5" input: "box_net/box-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-predict_1/separable_conv2d" op: "Conv2D" input: "box_net/box-predict_1/separable_conv2d/depthwise" input: "box_net/box-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "loc_pred_transposed" value { b: true } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-predict_1/BiasAdd" op: "BiasAdd" input: "box_net/box-predict_1/separable_conv2d" input: "box_net/box-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape_3" op: "Reshape" input: "box_net/box-predict_1/BiasAdd" input: "Reshape_3/shape" } node { name: "class_net/class-0_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/FusedBatchNormV3" input: "class_net/class-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-0_1/separable_conv2d" op: "Conv2D" input: "class_net/class-0_1/separable_conv2d/depthwise" input: "class_net/class-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-0_1/BiasAdd" op: "BiasAdd" input: "class_net/class-0_1/separable_conv2d" input: "class_net/class-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-0-bn-4/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-0_1/BiasAdd" input: "class_net/class-0-bn-4/gamma" input: "class_net/class-0-bn-4/beta" input: "class_net/class-0-bn-4/moving_mean" input: "class_net/class-0-bn-4/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_3" op: "Sigmoid" input: "class_net/class-0-bn-4/FusedBatchNormV3" } node { name: "class_net/mul_3" op: "Mul" input: "class_net/class-0-bn-4/FusedBatchNormV3" input: "class_net/Sigmoid_3" } node { name: "class_net/class-1_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_3" input: "class_net/class-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-1_1/separable_conv2d" op: "Conv2D" input: "class_net/class-1_1/separable_conv2d/depthwise" input: "class_net/class-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-1_1/BiasAdd" op: "BiasAdd" input: "class_net/class-1_1/separable_conv2d" input: "class_net/class-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-1-bn-4/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-1_1/BiasAdd" input: "class_net/class-1-bn-4/gamma" input: "class_net/class-1-bn-4/beta" input: "class_net/class-1-bn-4/moving_mean" input: "class_net/class-1-bn-4/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_4" op: "Sigmoid" input: "class_net/class-1-bn-4/FusedBatchNormV3" } node { name: "class_net/mul_4" op: "Mul" input: "class_net/class-1-bn-4/FusedBatchNormV3" input: "class_net/Sigmoid_4" } node { name: "class_net/class-2_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_4" input: "class_net/class-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-2_1/separable_conv2d" op: "Conv2D" input: "class_net/class-2_1/separable_conv2d/depthwise" input: "class_net/class-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-2_1/BiasAdd" op: "BiasAdd" input: "class_net/class-2_1/separable_conv2d" input: "class_net/class-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-2-bn-4/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-2_1/BiasAdd" input: "class_net/class-2-bn-4/gamma" input: "class_net/class-2-bn-4/beta" input: "class_net/class-2-bn-4/moving_mean" input: "class_net/class-2-bn-4/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_5" op: "Sigmoid" input: "class_net/class-2-bn-4/FusedBatchNormV3" } node { name: "class_net/mul_5" op: "Mul" input: "class_net/class-2-bn-4/FusedBatchNormV3" input: "class_net/Sigmoid_5" } node { name: "class_net/class-predict_1/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_5" input: "class_net/class-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-predict_1/separable_conv2d" op: "Conv2D" input: "class_net/class-predict_1/separable_conv2d/depthwise" input: "class_net/class-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-predict_1/BiasAdd" op: "BiasAdd" input: "class_net/class-predict_1/separable_conv2d" input: "class_net/class-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape_2" op: "Reshape" input: "class_net/class-predict_1/BiasAdd" input: "Reshape_2/shape" } node { name: "fpn_cells/cell_2/fnode5/resample_2_9_10/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_2/fnode4/op_after_combine9/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode5/mul_2" op: "Mul" input: "fpn_cells/cell_2/fnode5/resample_2_9_10/max_pooling2d/MaxPool" input: "fpn_cells/cell_2/fnode5/Relu_2/_104__cf__104" } node { name: "fpn_cells/cell_2/fnode5/truediv_2" op: "Mul" input: "fpn_cells/cell_2/fnode5/mul_2" input: "fpn_cells/cell_2/fnode5/add_2/_107__cf__107/inv" } node { name: "fpn_cells/cell_2/fnode5/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode5/truediv" input: "fpn_cells/cell_2/fnode5/truediv_1" input: "fpn_cells/cell_2/fnode5/truediv_2" } node { name: "fpn_cells/cell_2/fnode5/op_after_combine10/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode5/AddN_1" } node { name: "fpn_cells/cell_2/fnode5/op_after_combine10/mul" op: "Mul" input: "fpn_cells/cell_2/fnode5/AddN_1" input: "fpn_cells/cell_2/fnode5/op_after_combine10/Sigmoid" } node { name: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode5/op_after_combine10/mul" input: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode5/op_after_combine10/conv/BiasAdd" input: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/gamma" input: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/beta" input: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/moving_mean" input: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/box-0_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/FusedBatchNormV3" input: "box_net/box-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-0_2/separable_conv2d" op: "Conv2D" input: "box_net/box-0_2/separable_conv2d/depthwise" input: "box_net/box-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-0_2/BiasAdd" op: "BiasAdd" input: "box_net/box-0_2/separable_conv2d" input: "box_net/box-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-0-bn-5/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-0_2/BiasAdd" input: "box_net/box-0-bn-5/gamma" input: "box_net/box-0-bn-5/beta" input: "box_net/box-0-bn-5/moving_mean" input: "box_net/box-0-bn-5/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_6" op: "Sigmoid" input: "box_net/box-0-bn-5/FusedBatchNormV3" } node { name: "box_net/mul_6" op: "Mul" input: "box_net/box-0-bn-5/FusedBatchNormV3" input: "box_net/Sigmoid_6" } node { name: "box_net/box-1_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_6" input: "box_net/box-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-1_2/separable_conv2d" op: "Conv2D" input: "box_net/box-1_2/separable_conv2d/depthwise" input: "box_net/box-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-1_2/BiasAdd" op: "BiasAdd" input: "box_net/box-1_2/separable_conv2d" input: "box_net/box-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-1-bn-5/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-1_2/BiasAdd" input: "box_net/box-1-bn-5/gamma" input: "box_net/box-1-bn-5/beta" input: "box_net/box-1-bn-5/moving_mean" input: "box_net/box-1-bn-5/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_7" op: "Sigmoid" input: "box_net/box-1-bn-5/FusedBatchNormV3" } node { name: "box_net/mul_7" op: "Mul" input: "box_net/box-1-bn-5/FusedBatchNormV3" input: "box_net/Sigmoid_7" } node { name: "box_net/box-2_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_7" input: "box_net/box-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-2_2/separable_conv2d" op: "Conv2D" input: "box_net/box-2_2/separable_conv2d/depthwise" input: "box_net/box-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-2_2/BiasAdd" op: "BiasAdd" input: "box_net/box-2_2/separable_conv2d" input: "box_net/box-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-2-bn-5/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-2_2/BiasAdd" input: "box_net/box-2-bn-5/gamma" input: "box_net/box-2-bn-5/beta" input: "box_net/box-2-bn-5/moving_mean" input: "box_net/box-2-bn-5/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_8" op: "Sigmoid" input: "box_net/box-2-bn-5/FusedBatchNormV3" } node { name: "box_net/mul_8" op: "Mul" input: "box_net/box-2-bn-5/FusedBatchNormV3" input: "box_net/Sigmoid_8" } node { name: "box_net/box-predict_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_8" input: "box_net/box-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-predict_2/separable_conv2d" op: "Conv2D" input: "box_net/box-predict_2/separable_conv2d/depthwise" input: "box_net/box-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "loc_pred_transposed" value { b: true } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-predict_2/BiasAdd" op: "BiasAdd" input: "box_net/box-predict_2/separable_conv2d" input: "box_net/box-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape_5" op: "Reshape" input: "box_net/box-predict_2/BiasAdd" input: "Reshape_5/shape" } node { name: "class_net/class-0_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/FusedBatchNormV3" input: "class_net/class-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-0_2/separable_conv2d" op: "Conv2D" input: "class_net/class-0_2/separable_conv2d/depthwise" input: "class_net/class-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-0_2/BiasAdd" op: "BiasAdd" input: "class_net/class-0_2/separable_conv2d" input: "class_net/class-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-0-bn-5/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-0_2/BiasAdd" input: "class_net/class-0-bn-5/gamma" input: "class_net/class-0-bn-5/beta" input: "class_net/class-0-bn-5/moving_mean" input: "class_net/class-0-bn-5/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_6" op: "Sigmoid" input: "class_net/class-0-bn-5/FusedBatchNormV3" } node { name: "class_net/mul_6" op: "Mul" input: "class_net/class-0-bn-5/FusedBatchNormV3" input: "class_net/Sigmoid_6" } node { name: "class_net/class-1_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_6" input: "class_net/class-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-1_2/separable_conv2d" op: "Conv2D" input: "class_net/class-1_2/separable_conv2d/depthwise" input: "class_net/class-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-1_2/BiasAdd" op: "BiasAdd" input: "class_net/class-1_2/separable_conv2d" input: "class_net/class-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-1-bn-5/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-1_2/BiasAdd" input: "class_net/class-1-bn-5/gamma" input: "class_net/class-1-bn-5/beta" input: "class_net/class-1-bn-5/moving_mean" input: "class_net/class-1-bn-5/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_7" op: "Sigmoid" input: "class_net/class-1-bn-5/FusedBatchNormV3" } node { name: "class_net/mul_7" op: "Mul" input: "class_net/class-1-bn-5/FusedBatchNormV3" input: "class_net/Sigmoid_7" } node { name: "class_net/class-2_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_7" input: "class_net/class-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-2_2/separable_conv2d" op: "Conv2D" input: "class_net/class-2_2/separable_conv2d/depthwise" input: "class_net/class-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-2_2/BiasAdd" op: "BiasAdd" input: "class_net/class-2_2/separable_conv2d" input: "class_net/class-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-2-bn-5/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-2_2/BiasAdd" input: "class_net/class-2-bn-5/gamma" input: "class_net/class-2-bn-5/beta" input: "class_net/class-2-bn-5/moving_mean" input: "class_net/class-2-bn-5/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_8" op: "Sigmoid" input: "class_net/class-2-bn-5/FusedBatchNormV3" } node { name: "class_net/mul_8" op: "Mul" input: "class_net/class-2-bn-5/FusedBatchNormV3" input: "class_net/Sigmoid_8" } node { name: "class_net/class-predict_2/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_8" input: "class_net/class-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-predict_2/separable_conv2d" op: "Conv2D" input: "class_net/class-predict_2/separable_conv2d/depthwise" input: "class_net/class-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-predict_2/BiasAdd" op: "BiasAdd" input: "class_net/class-predict_2/separable_conv2d" input: "class_net/class-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape_4" op: "Reshape" input: "class_net/class-predict_2/BiasAdd" input: "Reshape_4/shape" } node { name: "fpn_cells/cell_2/fnode6/resample_2_10_11/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_2/fnode5/op_after_combine10/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode6/mul_2" op: "Mul" input: "fpn_cells/cell_2/fnode6/resample_2_10_11/max_pooling2d/MaxPool" input: "fpn_cells/cell_2/fnode6/Relu_2/_110__cf__110" } node { name: "fpn_cells/cell_2/fnode6/truediv_2" op: "Mul" input: "fpn_cells/cell_2/fnode6/mul_2" input: "fpn_cells/cell_2/fnode6/add_2/_113__cf__113/inv" } node { name: "fpn_cells/cell_2/fnode6/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode6/truediv" input: "fpn_cells/cell_2/fnode6/truediv_1" input: "fpn_cells/cell_2/fnode6/truediv_2" } node { name: "fpn_cells/cell_2/fnode6/op_after_combine11/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode6/AddN_1" } node { name: "fpn_cells/cell_2/fnode6/op_after_combine11/mul" op: "Mul" input: "fpn_cells/cell_2/fnode6/AddN_1" input: "fpn_cells/cell_2/fnode6/op_after_combine11/Sigmoid" } node { name: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode6/op_after_combine11/mul" input: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode6/op_after_combine11/conv/BiasAdd" input: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/gamma" input: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/beta" input: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/moving_mean" input: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/box-0_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/FusedBatchNormV3" input: "box_net/box-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-0_3/separable_conv2d" op: "Conv2D" input: "box_net/box-0_3/separable_conv2d/depthwise" input: "box_net/box-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-0_3/BiasAdd" op: "BiasAdd" input: "box_net/box-0_3/separable_conv2d" input: "box_net/box-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-0-bn-6/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-0_3/BiasAdd" input: "box_net/box-0-bn-6/gamma" input: "box_net/box-0-bn-6/beta" input: "box_net/box-0-bn-6/moving_mean" input: "box_net/box-0-bn-6/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_9" op: "Sigmoid" input: "box_net/box-0-bn-6/FusedBatchNormV3" } node { name: "box_net/mul_9" op: "Mul" input: "box_net/box-0-bn-6/FusedBatchNormV3" input: "box_net/Sigmoid_9" } node { name: "box_net/box-1_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_9" input: "box_net/box-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-1_3/separable_conv2d" op: "Conv2D" input: "box_net/box-1_3/separable_conv2d/depthwise" input: "box_net/box-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-1_3/BiasAdd" op: "BiasAdd" input: "box_net/box-1_3/separable_conv2d" input: "box_net/box-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-1-bn-6/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-1_3/BiasAdd" input: "box_net/box-1-bn-6/gamma" input: "box_net/box-1-bn-6/beta" input: "box_net/box-1-bn-6/moving_mean" input: "box_net/box-1-bn-6/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_10" op: "Sigmoid" input: "box_net/box-1-bn-6/FusedBatchNormV3" } node { name: "box_net/mul_10" op: "Mul" input: "box_net/box-1-bn-6/FusedBatchNormV3" input: "box_net/Sigmoid_10" } node { name: "box_net/box-2_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_10" input: "box_net/box-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-2_3/separable_conv2d" op: "Conv2D" input: "box_net/box-2_3/separable_conv2d/depthwise" input: "box_net/box-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-2_3/BiasAdd" op: "BiasAdd" input: "box_net/box-2_3/separable_conv2d" input: "box_net/box-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-2-bn-6/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-2_3/BiasAdd" input: "box_net/box-2-bn-6/gamma" input: "box_net/box-2-bn-6/beta" input: "box_net/box-2-bn-6/moving_mean" input: "box_net/box-2-bn-6/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_11" op: "Sigmoid" input: "box_net/box-2-bn-6/FusedBatchNormV3" } node { name: "box_net/mul_11" op: "Mul" input: "box_net/box-2-bn-6/FusedBatchNormV3" input: "box_net/Sigmoid_11" } node { name: "box_net/box-predict_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_11" input: "box_net/box-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-predict_3/separable_conv2d" op: "Conv2D" input: "box_net/box-predict_3/separable_conv2d/depthwise" input: "box_net/box-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "loc_pred_transposed" value { b: true } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-predict_3/BiasAdd" op: "BiasAdd" input: "box_net/box-predict_3/separable_conv2d" input: "box_net/box-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape_7" op: "Reshape" input: "box_net/box-predict_3/BiasAdd" input: "Reshape_7/shape" } node { name: "class_net/class-0_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/FusedBatchNormV3" input: "class_net/class-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-0_3/separable_conv2d" op: "Conv2D" input: "class_net/class-0_3/separable_conv2d/depthwise" input: "class_net/class-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-0_3/BiasAdd" op: "BiasAdd" input: "class_net/class-0_3/separable_conv2d" input: "class_net/class-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-0-bn-6/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-0_3/BiasAdd" input: "class_net/class-0-bn-6/gamma" input: "class_net/class-0-bn-6/beta" input: "class_net/class-0-bn-6/moving_mean" input: "class_net/class-0-bn-6/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_9" op: "Sigmoid" input: "class_net/class-0-bn-6/FusedBatchNormV3" } node { name: "class_net/mul_9" op: "Mul" input: "class_net/class-0-bn-6/FusedBatchNormV3" input: "class_net/Sigmoid_9" } node { name: "class_net/class-1_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_9" input: "class_net/class-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-1_3/separable_conv2d" op: "Conv2D" input: "class_net/class-1_3/separable_conv2d/depthwise" input: "class_net/class-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-1_3/BiasAdd" op: "BiasAdd" input: "class_net/class-1_3/separable_conv2d" input: "class_net/class-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-1-bn-6/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-1_3/BiasAdd" input: "class_net/class-1-bn-6/gamma" input: "class_net/class-1-bn-6/beta" input: "class_net/class-1-bn-6/moving_mean" input: "class_net/class-1-bn-6/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_10" op: "Sigmoid" input: "class_net/class-1-bn-6/FusedBatchNormV3" } node { name: "class_net/mul_10" op: "Mul" input: "class_net/class-1-bn-6/FusedBatchNormV3" input: "class_net/Sigmoid_10" } node { name: "class_net/class-2_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_10" input: "class_net/class-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-2_3/separable_conv2d" op: "Conv2D" input: "class_net/class-2_3/separable_conv2d/depthwise" input: "class_net/class-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-2_3/BiasAdd" op: "BiasAdd" input: "class_net/class-2_3/separable_conv2d" input: "class_net/class-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "class_net/class-2-bn-6/FusedBatchNormV3" op: "FusedBatchNormV3" input: "class_net/class-2_3/BiasAdd" input: "class_net/class-2-bn-6/gamma" input: "class_net/class-2-bn-6/beta" input: "class_net/class-2-bn-6/moving_mean" input: "class_net/class-2-bn-6/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "class_net/Sigmoid_11" op: "Sigmoid" input: "class_net/class-2-bn-6/FusedBatchNormV3" } node { name: "class_net/mul_11" op: "Mul" input: "class_net/class-2-bn-6/FusedBatchNormV3" input: "class_net/Sigmoid_11" } node { name: "class_net/class-predict_3/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "class_net/mul_11" input: "class_net/class-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "class_net/class-predict_3/separable_conv2d" op: "Conv2D" input: "class_net/class-predict_3/separable_conv2d/depthwise" input: "class_net/class-predict/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "class_net/class-predict_3/BiasAdd" op: "BiasAdd" input: "class_net/class-predict_3/separable_conv2d" input: "class_net/class-predict/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "Reshape_6" op: "Reshape" input: "class_net/class-predict_3/BiasAdd" input: "Reshape_6/shape" } node { name: "fpn_cells/cell_2/fnode7/resample_1_11_12/max_pooling2d/MaxPool" op: "MaxPool" input: "fpn_cells/cell_2/fnode6/op_after_combine11/bn/FusedBatchNormV3" attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode7/mul_1" op: "Mul" input: "fpn_cells/cell_2/fnode7/resample_1_11_12/max_pooling2d/MaxPool" input: "fpn_cells/cell_2/fnode7/Relu_1/_115__cf__115" } node { name: "fpn_cells/cell_2/fnode7/truediv_1" op: "Mul" input: "fpn_cells/cell_2/fnode7/mul_1" input: "fpn_cells/cell_2/fnode7/add_1/_117__cf__117/inv" } node { name: "fpn_cells/cell_2/fnode7/AddN_1" op: "AddN" input: "fpn_cells/cell_2/fnode7/truediv" input: "fpn_cells/cell_2/fnode7/truediv_1" } node { name: "fpn_cells/cell_2/fnode7/op_after_combine12/Sigmoid" op: "Sigmoid" input: "fpn_cells/cell_2/fnode7/AddN_1" } node { name: "fpn_cells/cell_2/fnode7/op_after_combine12/mul" op: "Mul" input: "fpn_cells/cell_2/fnode7/AddN_1" input: "fpn_cells/cell_2/fnode7/op_after_combine12/Sigmoid" } node { name: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode7/op_after_combine12/mul" input: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/separable_conv2d" op: "Conv2D" input: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/separable_conv2d/depthwise" input: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/BiasAdd" op: "BiasAdd" input: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/separable_conv2d" input: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "fpn_cells/cell_2/fnode7/op_after_combine12/bn/FusedBatchNormV3" op: "FusedBatchNormV3" input: "fpn_cells/cell_2/fnode7/op_after_combine12/conv/BiasAdd" input: "fpn_cells/cell_2/fnode7/op_after_combine12/bn/gamma" input: "fpn_cells/cell_2/fnode7/op_after_combine12/bn/beta" input: "fpn_cells/cell_2/fnode7/op_after_combine12/bn/moving_mean" input: "fpn_cells/cell_2/fnode7/op_after_combine12/bn/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/box-0_4/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "fpn_cells/cell_2/fnode7/op_after_combine12/bn/FusedBatchNormV3" input: "box_net/box-0/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-0_4/separable_conv2d" op: "Conv2D" input: "box_net/box-0_4/separable_conv2d/depthwise" input: "box_net/box-0/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-0_4/BiasAdd" op: "BiasAdd" input: "box_net/box-0_4/separable_conv2d" input: "box_net/box-0/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-0-bn-7/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-0_4/BiasAdd" input: "box_net/box-0-bn-7/gamma" input: "box_net/box-0-bn-7/beta" input: "box_net/box-0-bn-7/moving_mean" input: "box_net/box-0-bn-7/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_12" op: "Sigmoid" input: "box_net/box-0-bn-7/FusedBatchNormV3" } node { name: "box_net/mul_12" op: "Mul" input: "box_net/box-0-bn-7/FusedBatchNormV3" input: "box_net/Sigmoid_12" } node { name: "box_net/box-1_4/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_12" input: "box_net/box-1/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-1_4/separable_conv2d" op: "Conv2D" input: "box_net/box-1_4/separable_conv2d/depthwise" input: "box_net/box-1/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-1_4/BiasAdd" op: "BiasAdd" input: "box_net/box-1_4/separable_conv2d" input: "box_net/box-1/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-1-bn-7/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-1_4/BiasAdd" input: "box_net/box-1-bn-7/gamma" input: "box_net/box-1-bn-7/beta" input: "box_net/box-1-bn-7/moving_mean" input: "box_net/box-1-bn-7/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_13" op: "Sigmoid" input: "box_net/box-1-bn-7/FusedBatchNormV3" } node { name: "box_net/mul_13" op: "Mul" input: "box_net/box-1-bn-7/FusedBatchNormV3" input: "box_net/Sigmoid_13" } node { name: "box_net/box-2_4/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_13" input: "box_net/box-2/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } 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: "box_net/box-2_4/separable_conv2d" op: "Conv2D" input: "box_net/box-2_4/separable_conv2d/depthwise" input: "box_net/box-2/pointwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "explicit_paddings" value { list { } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } } node { name: "box_net/box-2_4/BiasAdd" op: "BiasAdd" input: "box_net/box-2_4/separable_conv2d" input: "box_net/box-2/bias" attr { key: "data_format" value { s: "NHWC" } } } node { name: "box_net/box-2-bn-7/FusedBatchNormV3" op: "FusedBatchNormV3" input: "box_net/box-2_4/BiasAdd" input: "box_net/box-2-bn-7/gamma" input: "box_net/box-2-bn-7/beta" input: "box_net/box-2-bn-7/moving_mean" input: "box_net/box-2-bn-7/moving_variance" attr { key: "data_format" value { s: "NHWC" } } attr { key: "epsilon" value { f: 0.001 } } attr { key: "U" value { type: DT_FLOAT } } } node { name: "box_net/Sigmoid_14" op: "Sigmoid" input: "box_net/box-2-bn-7/FusedBatchNormV3" } node { name: "box_net/mul_14" op: "Mul" input: "box_net/box-2-bn-7/FusedBatchNormV3" input: "box_net/Sigmoid_14" } node { name: "box_net/box-predict_4/separable_conv2d/depthwise" op: "DepthwiseConv2dNative" input: "box_net/mul_14" input: "box_net/box-predict/depthwise_kernel" attr { key: "data_format" value { s: "NHWC" } } attr { key: "dilations" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "padding" value { s: "SAME" } } attr { key: "strides" value { list 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