Repository URL to install this package:
|
Version:
1.7.2312301E ▾
|
node {
name: "image_tensor"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_UINT8
}
}
attr {
key: "shape"
value {
shape {
dim {
size: -1
}
dim {
size: -1
}
dim {
size: -1
}
dim {
size: 3
}
}
}
}
}
node {
name: "Preprocessor/mul"
op: "Mul"
input: "image_tensor"
input: "Preprocessor/mul/x"
}
node {
name: "Preprocessor/sub"
op: "Sub"
input: "Preprocessor/mul"
input: "Preprocessor/sub/y"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D"
op: "Conv2D"
input: "Preprocessor/sub"
input: "FeatureExtractor/MobilenetV1/Conv2d_0/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 2
i: 2
i: 1
}
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_1_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_2_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_3_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_4_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_5_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_6_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_7_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_8_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_9_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_11_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_12_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise"
op: "DepthwiseConv2dNative"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/depthwise_weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_depthwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_256/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 2
i: 2
i: 1
}
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_128/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 2
i: 2
i: 1
}
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_128/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 2
i: 2
i: 1
}
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/BatchNorm/FusedBatchNorm"
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_64/Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 2
i: 2
i: 1
}
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm"
op: "FusedBatchNorm"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/gamma"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/beta"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_mean"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/moving_variance"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "epsilon"
value {
f: 0.001
}
}
}
node {
name: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6"
op: "Relu6"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm"
}
node {
name: "BoxPredictor_0/BoxEncodingPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
input: "BoxPredictor_0/BoxEncodingPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_0/ClassPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6"
input: "BoxPredictor_0/ClassPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
}
node {
name: "BoxPredictor_0/ClassPredictor/BiasAdd"
op: "BiasAdd"
input: "BoxPredictor_0/ClassPredictor/Conv2D"
input: "BoxPredictor_0/ClassPredictor/biases"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_1/BoxEncodingPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
input: "BoxPredictor_1/BoxEncodingPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_1/ClassPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6"
input: "BoxPredictor_1/ClassPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
}
node {
name: "BoxPredictor_1/ClassPredictor/BiasAdd"
op: "BiasAdd"
input: "BoxPredictor_1/ClassPredictor/Conv2D"
input: "BoxPredictor_1/ClassPredictor/biases"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_2/BoxEncodingPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
input: "BoxPredictor_2/BoxEncodingPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_2/ClassPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_512/Relu6"
input: "BoxPredictor_2/ClassPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_3/BoxEncodingPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
input: "BoxPredictor_3/BoxEncodingPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_3/ClassPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_256/Relu6"
input: "BoxPredictor_3/ClassPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_4/BoxEncodingPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
input: "BoxPredictor_4/BoxEncodingPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_4/ClassPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_256/Relu6"
input: "BoxPredictor_4/ClassPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_5/BoxEncodingPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6"
input: "BoxPredictor_5/BoxEncodingPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "BoxPredictor_5/ClassPredictor/Conv2D"
op: "Conv2D"
input: "FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/Relu6"
input: "BoxPredictor_5/ClassPredictor/weights"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "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"
attr {
key: "data_format"
value {
s: "NHWC"
}
}
}
node {
name: "concat/axis_flatten"
op: "Const"
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
int_val: -1
tensor_shape {
dim {
size: 1
}
}
}
}
}
}
node {
name: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_0/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_1/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_2/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_3/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_4/ClassPredictor/BiasAdd"
}
node {
name: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_5/ClassPredictor/BiasAdd"
}
node {
name: "ClassPredictor/concat"
op: "ConcatV2"
input: "BoxPredictor_0/ClassPredictor/BiasAdd/Flatten"
input: "BoxPredictor_1/ClassPredictor/BiasAdd/Flatten"
input: "BoxPredictor_2/ClassPredictor/BiasAdd/Flatten"
input: "BoxPredictor_3/ClassPredictor/BiasAdd/Flatten"
input: "BoxPredictor_4/ClassPredictor/BiasAdd/Flatten"
input: "BoxPredictor_5/ClassPredictor/BiasAdd/Flatten"
input: "concat/axis_flatten"
}
node {
name: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten"
op: "Flatten"
input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd"
}
node {
name: "BoxEncodingPredictor/concat"
op: "ConcatV2"
input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd/Flatten"
input: "BoxPredictor_1/BoxEncodingPredictor/BiasAdd/Flatten"
input: "BoxPredictor_2/BoxEncodingPredictor/BiasAdd/Flatten"
input: "BoxPredictor_3/BoxEncodingPredictor/BiasAdd/Flatten"
input: "BoxPredictor_4/BoxEncodingPredictor/BiasAdd/Flatten"
input: "BoxPredictor_5/BoxEncodingPredictor/BiasAdd/Flatten"
input: "concat/axis_flatten"
}
node {
name: "PriorBox_0"
op: "PriorBox"
input: "BoxPredictor_0/BoxEncodingPredictor/BiasAdd"
input: "image_tensor"
attr {
key: "clip"
value {
b: false
}
}
attr {
key: "flip"
value {
b: false
}
}
attr {
key: "height"
value {
tensor {
dtype: DT_FLOAT
float_val: 30.0
float_val: 42.42640687119285
float_val: 84.8528137423857
tensor_shape {
dim {
size: 3
}
}
}
}
}
attr {
key: "variance"
value {
tensor {
dtype: DT_FLOAT
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
tensor_shape {
dim {
size: 4
}
}
}
}
}
attr {
key: "width"
value {
tensor {
dtype: DT_FLOAT
float_val: 30.0
float_val: 84.85281374238572
float_val: 42.42640687119286
tensor_shape {
dim {
size: 3
}
}
}
}
}
}
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
float_val: 105.0
float_val: 74.24621202458748
float_val: 148.49242404917496
float_val: 60.62177826491071
float_val: 181.87442874352365
float_val: 125.49900398011134
tensor_shape {
dim {
size: 6
}
}
}
}
}
attr {
key: "variance"
value {
tensor {
dtype: DT_FLOAT
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
tensor_shape {
dim {
size: 4
}
}
}
}
}
attr {
key: "width"
value {
tensor {
dtype: DT_FLOAT
float_val: 105.0
float_val: 148.49242404917499
float_val: 74.24621202458749
float_val: 181.8653347947321
float_val: 60.618747100216446
float_val: 125.49900398011134
tensor_shape {
dim {
size: 6
}
}
}
}
}
}
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
float_val: 150.0
float_val: 106.06601717798212
float_val: 212.13203435596424
float_val: 86.60254037844388
float_val: 259.8206124907481
float_val: 171.0263137648707
tensor_shape {
dim {
size: 6
}
}
}
}
}
attr {
key: "variance"
value {
tensor {
dtype: DT_FLOAT
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
tensor_shape {
dim {
size: 4
}
}
}
}
}
attr {
key: "width"
value {
tensor {
dtype: DT_FLOAT
float_val: 150.0
float_val: 212.13203435596427
float_val: 106.06601717798213
float_val: 259.8076211353316
float_val: 86.59821014316636
float_val: 171.0263137648707
tensor_shape {
dim {
size: 6
}
}
}
}
}
}
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
float_val: 195.0
float_val: 137.88582233137677
float_val: 275.77164466275354
float_val: 112.58330249197702
float_val: 337.7667962379726
float_val: 216.33307652783938
tensor_shape {
dim {
size: 6
}
}
}
}
}
attr {
key: "variance"
value {
tensor {
dtype: DT_FLOAT
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
tensor_shape {
dim {
size: 4
}
}
}
}
}
attr {
key: "width"
value {
tensor {
dtype: DT_FLOAT
float_val: 195.0
float_val: 275.77164466275354
float_val: 137.88582233137677
float_val: 337.749907475931
float_val: 112.57767318611627
float_val: 216.33307652783938
tensor_shape {
dim {
size: 6
}
}
}
}
}
}
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
float_val: 240.0
float_val: 169.7056274847714
float_val: 339.4112549695428
float_val: 138.5640646055102
float_val: 415.71297998519697
float_val: 261.5339366124404
tensor_shape {
dim {
size: 6
}
}
}
}
}
attr {
key: "variance"
value {
tensor {
dtype: DT_FLOAT
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
tensor_shape {
dim {
size: 4
}
}
}
}
}
attr {
key: "width"
value {
tensor {
dtype: DT_FLOAT
float_val: 240.0
float_val: 339.4112549695429
float_val: 169.70562748477144
float_val: 415.69219381653056
float_val: 138.55713622906617
float_val: 261.5339366124404
tensor_shape {
dim {
size: 6
}
}
}
}
}
}
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
float_val: 285.0
float_val: 201.52543263816602
float_val: 403.05086527633205
float_val: 164.54482671904336
float_val: 493.6591637324214
float_val: 292.4038303442689
tensor_shape {
dim {
size: 6
}
}
}
}
}
attr {
key: "variance"
value {
tensor {
dtype: DT_FLOAT
float_val: 0.1
float_val: 0.1
float_val: 0.2
float_val: 0.2
tensor_shape {
dim {
size: 4
}
}
}
}
}
attr {
key: "width"
value {
tensor {
dtype: DT_FLOAT
float_val: 285.0
float_val: 403.0508652763321
float_val: 201.52543263816605
float_val: 493.63448015713
float_val: 164.53659927201608
float_val: 292.4038303442689
tensor_shape {
dim {
size: 6
}
}
}
}
}
}
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: 0.01
}
}
attr {
key: "keep_top_k"
value {
i: 100
}
}
attr {
key: "nms_threshold"
value {
f: 0.6
}
}
attr {
key: "num_classes"
value {
i: 2
}
}
attr {
key: "share_location"
value {
b: true
}
}
attr {
key: "top_k"
value {
i: 100
}
}
}