node { name: "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3" op: "Const" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "value" value { tensor { dtype: DT_FLOAT tensor_shape { dim { size: 3 } dim { size: 3 } dim { size: 3 } dim { size: 4 } } float_val: 1.0 } } } } node { name: "input" op: "Placeholder" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "shape" value { shape { dim { size: 1 } dim { size: 15 } dim { size: 15 } dim { size: 3 } } } } } node { name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D" op: "Conv2D" input: "input:0" input: "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3" attr { key: "T" value { type: DT_FLOAT } } 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: "VALID" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } } node { name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D_bn_offset" op: "Const" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "value" value { tensor { dtype: DT_FLOAT tensor_shape { dim { size: 4 } } float_val: 1.0 } } } } node { name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm" op: "BiasAdd" input: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D" input: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D_bn_offset" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } } node { name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu" op: "Relu" input: "InceptionV3/InceptionV3/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm" attr { key: "T" value { type: DT_FLOAT } } } node { name: "InceptionV3/Conv2d_2a_3x3/weights/read/_7__cf__7" op: "Const" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "value" value { tensor { dtype: DT_FLOAT tensor_shape { dim { size: 3 } dim { size: 3 } dim { size: 4 } dim { size: 4 } } float_val: 1.0 } } } } node { name: "InceptionV3/InceptionV3/Conv2d_2a_3x3/Conv2D" op: "Conv2D" input: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu" input: "InceptionV3/Conv2d_2a_3x3/weights/read/_7__cf__7" attr { key: "T" value { type: DT_FLOAT } } 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: "VALID" } } attr { key: "strides" value { list { i: 1 i: 1 i: 1 i: 1 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } } node { name: "InceptionV3/InceptionV3/Conv2d_2a_3x3/Conv2D_bn_offset" op: "Const" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "value" value { tensor { dtype: DT_FLOAT tensor_shape { dim { size: 4 } } float_val: 1.0 } } } } node { name: "InceptionV3/InceptionV3/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm" op: "BiasAdd" input: "InceptionV3/InceptionV3/Conv2d_2a_3x3/Conv2D" input: "InceptionV3/InceptionV3/Conv2d_2a_3x3/Conv2D_bn_offset" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } } node { name: "InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu" op: "Relu" input: "InceptionV3/InceptionV3/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm" attr { key: "T" value { type: DT_FLOAT } } } node { name: "InceptionV3/InceptionV3/Conv2d_2b_3x3/Conv2D" op: "Conv2D" input: "InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu" input: "InceptionV3/Conv2d_2b_3x3/weights/read/_11__cf__11" attr { key: "T" value { type: DT_FLOAT } } 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 } } } attr { key: "use_cudnn_on_gpu" value { b: true } } } node { name: "InceptionV3/Conv2d_2b_3x3/weights/read/_11__cf__11" op: "Const" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "value" value { tensor { dtype: DT_FLOAT tensor_shape { dim { size: 3 } dim { size: 3 } dim { size: 4 } dim { size: 5 } } float_val: 1.0 } } } } node { name: "InceptionV3/InceptionV3/Conv2d_2b_3x3/Conv2D_bn_offset" op: "Const" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "value" value { tensor { dtype: DT_FLOAT tensor_shape { dim { size: 5 } } float_val: 1.0 } } } } node { name: "InceptionV3/InceptionV3/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm" op: "BiasAdd" input: "InceptionV3/InceptionV3/Conv2d_2b_3x3/Conv2D" input: "InceptionV3/InceptionV3/Conv2d_2b_3x3/Conv2D_bn_offset" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } } node { name: "InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu" op: "Relu" input: "InceptionV3/InceptionV3/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm" attr { key: "T" value { type: DT_FLOAT } } } node { name: "InceptionV3/InceptionV3/MaxPool_3a_3x3/MaxPool" op: "MaxPool" input: "InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value { s: "NHWC" } } attr { key: "ksize" value { list { i: 1 i: 3 i: 3 i: 1 } } } attr { key: "padding" value { s: "VALID" } } attr { key: "strides" value { list { i: 1 i: 2 i: 2 i: 1 } } } }