Spaces:
Sleeping
Sleeping
| node { | |
| name: "image_tensor" | |
| op: "Placeholder" | |
| attr { | |
| key: "dtype" | |
| value { | |
| type: DT_UINT8 | |
| } | |
| } | |
| attr { | |
| key: "shape" | |
| value { | |
| shape { | |
| dim { | |
| size: -1 | |
| } | |
| dim { | |
| size: -1 | |
| } | |
| dim { | |
| size: -1 | |
| } | |
| dim { | |
| size: 3 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "Preprocessor/mul" | |
| op: "Mul" | |
| input: "image_tensor" | |
| input: "Preprocessor/mul/x" | |
| } | |
| node { | |
| name: "Preprocessor/sub" | |
| op: "Sub" | |
| input: "Preprocessor/mul" | |
| input: "Preprocessor/sub/y" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/Conv/Conv2D" | |
| op: "Conv2D" | |
| input: "Preprocessor/sub" | |
| input: "FeatureExtractor/MobilenetV2/Conv/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/Conv/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/Conv/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/Conv/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/Conv/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv/output" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv/output" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_1/output" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/output" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_2/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_1/output" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_2/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_3/output" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/output" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_4/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_3/output" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_4/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_5/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/input" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_5/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_6/output" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/output" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_7/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_6/output" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_7/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_8/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/input" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_8/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_9/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/input" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_9/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_10/output" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/output" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_11/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_10/output" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_11/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_12/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/input" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_12/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_13/output" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/output" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_14/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/output" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_14/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_15/add" | |
| op: "Add" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/batchnorm/add_1" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/input" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/input" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_15/add" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/input" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/expanded_conv_16/output" | |
| op: "Identity" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/Conv_1/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_16/output" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/Conv_1/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_256/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512_depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_128/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256_depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_128/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256_depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise" | |
| op: "DepthwiseConv2dNative" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_64/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise_weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 2 | |
| i: 2 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/depthwise" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128_depthwise/Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1" | |
| op: "FusedBatchNorm" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/beta" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance" | |
| attr { | |
| key: "epsilon" | |
| value { | |
| f: 0.0010000000475 | |
| } | |
| } | |
| } | |
| node { | |
| name: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6" | |
| op: "Relu6" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/BatchNorm/batchnorm/add_1" | |
| } | |
| node { | |
| name: "BoxPredictor_0/BoxEncodingPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" | |
| input: "BoxPredictor_0/BoxEncodingPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "loc_pred_transposed" | |
| value { | |
| b: true | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_0/BoxEncodingPredictor/Conv2D" | |
| input: "BoxPredictor_0/BoxEncodingPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_0/ClassPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6" | |
| input: "BoxPredictor_0/ClassPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_0/ClassPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_0/ClassPredictor/Conv2D" | |
| input: "BoxPredictor_0/ClassPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_1/BoxEncodingPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6" | |
| input: "BoxPredictor_1/BoxEncodingPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "loc_pred_transposed" | |
| value { | |
| b: true | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_1/BoxEncodingPredictor/Conv2D" | |
| input: "BoxPredictor_1/BoxEncodingPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_1/ClassPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/Conv_1/Relu6" | |
| input: "BoxPredictor_1/ClassPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_1/ClassPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_1/ClassPredictor/Conv2D" | |
| input: "BoxPredictor_1/ClassPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_2/BoxEncodingPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6" | |
| input: "BoxPredictor_2/BoxEncodingPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "loc_pred_transposed" | |
| value { | |
| b: true | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_2/BoxEncodingPredictor/Conv2D" | |
| input: "BoxPredictor_2/BoxEncodingPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_2/ClassPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/Relu6" | |
| input: "BoxPredictor_2/ClassPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_2/ClassPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_2/ClassPredictor/Conv2D" | |
| input: "BoxPredictor_2/ClassPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_3/BoxEncodingPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6" | |
| input: "BoxPredictor_3/BoxEncodingPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "loc_pred_transposed" | |
| value { | |
| b: true | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_3/BoxEncodingPredictor/Conv2D" | |
| input: "BoxPredictor_3/BoxEncodingPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_3/ClassPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/Relu6" | |
| input: "BoxPredictor_3/ClassPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_3/ClassPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_3/ClassPredictor/Conv2D" | |
| input: "BoxPredictor_3/ClassPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_4/BoxEncodingPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6" | |
| input: "BoxPredictor_4/BoxEncodingPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "loc_pred_transposed" | |
| value { | |
| b: true | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_4/BoxEncodingPredictor/Conv2D" | |
| input: "BoxPredictor_4/BoxEncodingPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_4/ClassPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/Relu6" | |
| input: "BoxPredictor_4/ClassPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_4/ClassPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_4/ClassPredictor/Conv2D" | |
| input: "BoxPredictor_4/ClassPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_5/BoxEncodingPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6" | |
| input: "BoxPredictor_5/BoxEncodingPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "loc_pred_transposed" | |
| value { | |
| b: true | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_5/BoxEncodingPredictor/Conv2D" | |
| input: "BoxPredictor_5/BoxEncodingPredictor/biases" | |
| } | |
| node { | |
| name: "BoxPredictor_5/ClassPredictor/Conv2D" | |
| op: "Conv2D" | |
| input: "FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/Relu6" | |
| input: "BoxPredictor_5/ClassPredictor/weights" | |
| attr { | |
| key: "dilations" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "padding" | |
| value { | |
| s: "SAME" | |
| } | |
| } | |
| attr { | |
| key: "strides" | |
| value { | |
| list { | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| i: 1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_5/ClassPredictor/BiasAdd" | |
| op: "BiasAdd" | |
| input: "BoxPredictor_5/ClassPredictor/Conv2D" | |
| input: "BoxPredictor_5/ClassPredictor/biases" | |
| } | |
| node { | |
| name: "concat/axis_flatten" | |
| op: "Const" | |
| attr { | |
| key: "value" | |
| value { | |
| tensor { | |
| dtype: DT_INT32 | |
| tensor_shape { | |
| dim { | |
| size: 1 | |
| } | |
| } | |
| int_val: -1 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_0/ClassPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_1/ClassPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_2/ClassPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_3/ClassPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_4/ClassPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_5/ClassPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "ClassPredictor/concat" | |
| op: "ConcatV2" | |
| input: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten" | |
| input: "concat/axis_flatten" | |
| } | |
| node { | |
| name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten" | |
| op: "Flatten" | |
| input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd" | |
| } | |
| node { | |
| name: "BoxEncodingPredictor/concat" | |
| op: "ConcatV2" | |
| input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten" | |
| input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten" | |
| input: "concat/axis_flatten" | |
| } | |
| node { | |
| name: "PriorBox_0" | |
| op: "PriorBox" | |
| input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd" | |
| input: "image_tensor" | |
| attr { | |
| key: "clip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "flip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "height" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 3 | |
| } | |
| } | |
| float_val: 30.0 | |
| float_val: 42.4264068604 | |
| float_val: 84.8528137207 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "variance" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 4 | |
| } | |
| } | |
| float_val: 0.10000000149 | |
| float_val: 0.10000000149 | |
| float_val: 0.20000000298 | |
| float_val: 0.20000000298 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "width" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 3 | |
| } | |
| } | |
| float_val: 30.0 | |
| float_val: 84.8528137207 | |
| float_val: 42.4264068604 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "PriorBox_1" | |
| op: "PriorBox" | |
| input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd" | |
| input: "image_tensor" | |
| attr { | |
| key: "clip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "flip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "height" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 105.0 | |
| float_val: 74.2462158203 | |
| float_val: 148.492431641 | |
| float_val: 60.6217765808 | |
| float_val: 181.956329346 | |
| float_val: 125.499000549 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "variance" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 4 | |
| } | |
| } | |
| float_val: 0.10000000149 | |
| float_val: 0.10000000149 | |
| float_val: 0.20000000298 | |
| float_val: 0.20000000298 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "width" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 105.0 | |
| float_val: 148.492431641 | |
| float_val: 74.2462158203 | |
| float_val: 181.865341187 | |
| float_val: 60.5914611816 | |
| float_val: 125.499000549 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "PriorBox_2" | |
| op: "PriorBox" | |
| input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd" | |
| input: "image_tensor" | |
| attr { | |
| key: "clip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "flip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "height" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 150.0 | |
| float_val: 106.066017151 | |
| float_val: 212.132034302 | |
| float_val: 86.6025390625 | |
| float_val: 259.93762207 | |
| float_val: 171.026306152 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "variance" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 4 | |
| } | |
| } | |
| float_val: 0.10000000149 | |
| float_val: 0.10000000149 | |
| float_val: 0.20000000298 | |
| float_val: 0.20000000298 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "width" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 150.0 | |
| float_val: 212.132034302 | |
| float_val: 106.066017151 | |
| float_val: 259.807617188 | |
| float_val: 86.5592269897 | |
| float_val: 171.026306152 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "PriorBox_3" | |
| op: "PriorBox" | |
| input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd" | |
| input: "image_tensor" | |
| attr { | |
| key: "clip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "flip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "height" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 195.0 | |
| float_val: 137.885818481 | |
| float_val: 275.771636963 | |
| float_val: 112.583305359 | |
| float_val: 337.918914795 | |
| float_val: 216.333084106 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "variance" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 4 | |
| } | |
| } | |
| float_val: 0.10000000149 | |
| float_val: 0.10000000149 | |
| float_val: 0.20000000298 | |
| float_val: 0.20000000298 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "width" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 195.0 | |
| float_val: 275.771636963 | |
| float_val: 137.885818481 | |
| float_val: 337.749908447 | |
| float_val: 112.527000427 | |
| float_val: 216.333084106 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "PriorBox_4" | |
| op: "PriorBox" | |
| input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd" | |
| input: "image_tensor" | |
| attr { | |
| key: "clip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "flip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "height" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 240.0 | |
| float_val: 169.705627441 | |
| float_val: 339.411254883 | |
| float_val: 138.564071655 | |
| float_val: 415.90020752 | |
| float_val: 261.533935547 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "variance" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 4 | |
| } | |
| } | |
| float_val: 0.10000000149 | |
| float_val: 0.10000000149 | |
| float_val: 0.20000000298 | |
| float_val: 0.20000000298 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "width" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 240.0 | |
| float_val: 339.411254883 | |
| float_val: 169.705627441 | |
| float_val: 415.692199707 | |
| float_val: 138.494766235 | |
| float_val: 261.533935547 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "PriorBox_5" | |
| op: "PriorBox" | |
| input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd" | |
| input: "image_tensor" | |
| attr { | |
| key: "clip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "flip" | |
| value { | |
| b: false | |
| } | |
| } | |
| attr { | |
| key: "height" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 285.0 | |
| float_val: 201.525436401 | |
| float_val: 403.050872803 | |
| float_val: 164.544830322 | |
| float_val: 493.881469727 | |
| float_val: 292.403839111 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "variance" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 4 | |
| } | |
| } | |
| float_val: 0.10000000149 | |
| float_val: 0.10000000149 | |
| float_val: 0.20000000298 | |
| float_val: 0.20000000298 | |
| } | |
| } | |
| } | |
| attr { | |
| key: "width" | |
| value { | |
| tensor { | |
| dtype: DT_FLOAT | |
| tensor_shape { | |
| dim { | |
| size: 6 | |
| } | |
| } | |
| float_val: 285.0 | |
| float_val: 403.050872803 | |
| float_val: 201.525436401 | |
| float_val: 493.634490967 | |
| float_val: 164.462539673 | |
| float_val: 292.403839111 | |
| } | |
| } | |
| } | |
| } | |
| node { | |
| name: "PriorBox/concat" | |
| op: "ConcatV2" | |
| input: "PriorBox_0" | |
| input: "PriorBox_1" | |
| input: "PriorBox_2" | |
| input: "PriorBox_3" | |
| input: "PriorBox_4" | |
| input: "PriorBox_5" | |
| input: "concat/axis_flatten" | |
| } | |
| node { | |
| name: "ClassPredictor/concat/sigmoid" | |
| op: "Sigmoid" | |
| input: "ClassPredictor/concat" | |
| } | |
| node { | |
| name: "detection_out" | |
| op: "DetectionOutput" | |
| input: "BoxEncodingPredictor/concat" | |
| input: "ClassPredictor/concat/sigmoid" | |
| input: "PriorBox/concat" | |
| attr { | |
| key: "background_label_id" | |
| value { | |
| i: 0 | |
| } | |
| } | |
| attr { | |
| key: "code_type" | |
| value { | |
| s: "CENTER_SIZE" | |
| } | |
| } | |
| attr { | |
| key: "confidence_threshold" | |
| value { | |
| f: 0.00999999977648 | |
| } | |
| } | |
| attr { | |
| key: "keep_top_k" | |
| value { | |
| i: 100 | |
| } | |
| } | |
| attr { | |
| key: "nms_threshold" | |
| value { | |
| f: 0.600000023842 | |
| } | |
| } | |
| attr { | |
| key: "num_classes" | |
| value { | |
| i: 91 | |
| } | |
| } | |
| attr { | |
| key: "share_location" | |
| value { | |
| b: true | |
| } | |
| } | |
| attr { | |
| key: "top_k" | |
| value { | |
| i: 100 | |
| } | |
| } | |
| } | |
| library { | |
| } |