| {"format": "graph-model", "generatedBy": "2.18.0", "convertedBy": "TensorFlow.js Converter v4.22.0", "signature": {"outputs": {"Identity:0": {"name": "Identity:0"}}}, "modelTopology": {"node": [{"name": "model/tf.strided_slice_6/ones_like/tensor", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.strided_slice_6/StridedSlice/end", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.strided_slice_6/ones_like", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_4/ones_like/tensor", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_4/StridedSlice/end", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_4/ones_like", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.strided_slice_2/ones_like/tensor", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.strided_slice_2/StridedSlice/end", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_2/ones_like", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice/ones_like/tensor", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice/StridedSlice/end", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.strided_slice/ones_like", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.compat.v1.pad/Pad/paddings", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "4"}, {"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.nn.convolution/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "3"}, {"size": "16"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "16"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.compat.v1.pad_1/Pad/paddings", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "4"}, {"size": "2"}]}}}}}, {"name": "model/tf.nn.convolution_1/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "16"}, {"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_1/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.nn.convolution_2/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "32"}, {"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_2/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.strided_slice_1/ones_like/tensor", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.strided_slice_1/StridedSlice/end", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_1/ones_like", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.nn.convolution_3/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "16"}, {"size": "16"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_3/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "16"}]}}}}}, {"name": "model/tf.nn.convolution_4/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "16"}, {"size": "16"}]}}}}}, {"name": "model/tf.math.add_4/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "16"}]}}}}}, {"name": "model/tf.concat/concat/axis", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.nn.convolution_5/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "48"}, {"size": "32"}]}}}}}, {"name": "model/tf.math.add_7/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.compat.v1.pad_2/Pad/paddings", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "4"}, {"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.nn.convolution_6/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "64"}]}}}}}, {"name": "model/tf.math.add_8/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}}}, {"name": "model/tf.nn.convolution_7/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "64"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_9/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}}}, {"name": "model/tf.strided_slice_3/ones_like/tensor", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_3/StridedSlice/end", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_3/ones_like", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.nn.convolution_8/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "32"}]}}}}}, {"name": "model/tf.math.add_10/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}}}, {"name": "model/tf.nn.convolution_9/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "32"}]}}}}}, {"name": "model/tf.math.add_11/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}}}, {"name": "model/tf.nn.convolution_10/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_14/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}}}, {"name": "model/tf.nn.convolution_11/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_15/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}}}, {"name": "model/tf.concat_1/concat/axis", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.nn.convolution_12/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "128"}, {"size": "64"}]}}}}}, {"name": "model/tf.math.add_18/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}}}, {"name": "model/tf.compat.v1.pad_3/Pad/paddings", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "4"}, {"size": "2"}]}}}}}, {"name": "model/tf.nn.convolution_13/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "64"}, {"size": "128"}]}}}}}, {"name": "model/tf.math.add_19/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "128"}]}}}}}, {"name": "model/tf.nn.convolution_14/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "128"}, {"size": "128"}]}}}}}, {"name": "model/tf.math.add_20/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "128"}]}}}}}, {"name": "model/tf.strided_slice_5/ones_like/tensor", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_5/StridedSlice/end", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_5/ones_like", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.nn.convolution_15/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "64"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_21/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.nn.convolution_16/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "64"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_22/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}}}, {"name": "model/tf.nn.convolution_17/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "64"}, {"size": "64"}]}}}}}, {"name": "model/tf.math.add_25/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.nn.convolution_18/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "64"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_26/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.concat_2/concat/axis", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}}}, {"name": "model/tf.nn.convolution_19/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "256"}, {"size": "128"}]}}}}}, {"name": "model/tf.math.add_29/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "128"}]}}}}}, {"name": "model/tf.compat.v1.pad_4/Pad/paddings", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "4"}, {"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.nn.convolution_20/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "128"}, {"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_30/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "256"}]}}}}}, {"name": "model/tf.nn.convolution_21/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "256"}, {"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_31/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "256"}]}}}}}, {"name": "model/tf.strided_slice_7/ones_like/tensor", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.strided_slice_7/StridedSlice/end", "op": "Const", "attr": {"dtype": {"type": "DT_INT64"}, "value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}}}, {"name": "model/tf.strided_slice_7/ones_like", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT64", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT64"}}}, {"name": "model/tf.nn.convolution_22/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "128"}, {"size": "128"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_32/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "128"}]}}}}}, {"name": "model/tf.nn.convolution_23/convolution/filter", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "128"}, {"size": "128"}]}}}}}, {"name": "model/tf.math.add_33/Add/y", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "128"}]}}}}}, {"name": "model/tf.concat_3/concat/axis", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.nn.convolution_24/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "384"}, {"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_36/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.nn.convolution_25/convolution/filter", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "256"}, {"size": "1280"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_37/Add/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1280"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.reduce_mean/Mean/reduction_indices", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.compat.v1.transpose/transpose/perm", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "4"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "model/tf.reshape/Reshape/shape", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}}}, {"name": "model/tf.linalg.matmul/MatMul/b", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1280"}, {"size": "2"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.__operators__.add/AddV2/y", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "2"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "x", "op": "Placeholder", "attr": {"shape": {"shape": {"dim": [{"size": "1"}, {"size": "224"}, {"size": "224"}, {"size": "3"}]}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "model/tf.compat.v1.pad/Pad", "op": "Pad", "input": ["x", "model/tf.compat.v1.pad/Pad/paddings"], "attr": {"Tpaddings": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add/Add", "op": "_FusedConv2D", "input": ["model/tf.compat.v1.pad/Pad", "model/tf.nn.convolution/convolution/filter", "model/tf.math.add/Add/y"], "device": "/device:CPU:0", "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "leakyrelu_alpha": {"f": 0.2}, "T": {"type": "DT_FLOAT"}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "num_args": {"i": "1"}, "epsilon": {"f": 0.0}, "num_host_args": {"i": "0"}, "explicit_paddings": {"list": {}}, "padding": {"s": "VkFMSUQ="}, "use_cudnn_on_gpu": {"b": true}, "data_format": {"s": "TkhXQw=="}, "filter_format": {"s": "SFdJTw=="}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}}}, {"name": "model/tf.math.sigmoid/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_3/Mul", "op": "Mul", "input": ["model/tf.math.add/Add", "model/tf.math.sigmoid/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.compat.v1.pad_1/Pad", "op": "Pad", "input": ["model/tf.math.multiply_3/Mul", "model/tf.compat.v1.pad_1/Pad/paddings"], "attr": {"T": {"type": "DT_FLOAT"}, "Tpaddings": {"type": "DT_INT32"}}}, {"name": "model/tf.math.add_1/Add", "op": "_FusedConv2D", "input": ["model/tf.compat.v1.pad_1/Pad", "model/tf.nn.convolution_1/convolution/filter", "model/tf.math.add_1/Add/y"], "device": "/device:CPU:0", "attr": {"TArgs": {"list": {"type": ["DT_FLOAT"]}}, "num_host_args": {"i": "0"}, "num_args": {"i": "1"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "filter_format": {"s": "SFdJTw=="}, "use_cudnn_on_gpu": {"b": true}, "explicit_paddings": {"list": {}}, "padding": {"s": "VkFMSUQ="}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "data_format": {"s": "TkhXQw=="}, "T": {"type": "DT_FLOAT"}, "epsilon": {"f": 0.0}, "leakyrelu_alpha": {"f": 0.2}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}}}, {"name": "model/tf.math.sigmoid_1/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_1/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_7/Mul", "op": "Mul", "input": ["model/tf.math.add_1/Add", "model/tf.math.sigmoid_1/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_2/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_7/Mul", "model/tf.nn.convolution_2/convolution/filter", "model/tf.math.add_2/Add/y"], "device": "/device:CPU:0", "attr": {"data_format": {"s": "TkhXQw=="}, "epsilon": {"f": 0.0}, "use_cudnn_on_gpu": {"b": true}, "num_args": {"i": "1"}, "T": {"type": "DT_FLOAT"}, "explicit_paddings": {"list": {}}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "leakyrelu_alpha": {"f": 0.2}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "num_host_args": {"i": "0"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "filter_format": {"s": "SFdJTw=="}, "padding": {"s": "U0FNRQ=="}}}, {"name": "model/tf.math.sigmoid_2/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_2/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_11/Mul", "op": "Mul", "input": ["model/tf.math.add_2/Add", "model/tf.math.sigmoid_2/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.strided_slice/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_11/Mul", "model/tf.strided_slice/ones_like/tensor", "model/tf.strided_slice/StridedSlice/end", "model/tf.strided_slice/ones_like"], "attr": {"shrink_axis_mask": {"i": "0"}, "ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "begin_mask": {"i": "15"}, "T": {"type": "DT_FLOAT"}, "Index": {"type": "DT_INT64"}, "end_mask": {"i": "7"}}}, {"name": "model/tf.strided_slice_1/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_11/Mul", "model/tf.strided_slice_1/ones_like/tensor", "model/tf.strided_slice_1/StridedSlice/end", "model/tf.strided_slice_1/ones_like"], "attr": {"ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "Index": {"type": "DT_INT64"}, "end_mask": {"i": "7"}, "T": {"type": "DT_FLOAT"}, "shrink_axis_mask": {"i": "0"}, "begin_mask": {"i": "7"}}}, {"name": "model/tf.math.add_3/Add", "op": "_FusedConv2D", "input": ["model/tf.strided_slice_1/StridedSlice", "model/tf.nn.convolution_3/convolution/filter", "model/tf.math.add_3/Add/y"], "device": "/device:CPU:0", "attr": {"strides": {"list": {"i": ["1", "1", "1", "1"]}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "explicit_paddings": {"list": {}}, "use_cudnn_on_gpu": {"b": true}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "epsilon": {"f": 0.0}, "padding": {"s": "U0FNRQ=="}, "data_format": {"s": "TkhXQw=="}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "num_args": {"i": "1"}, "T": {"type": "DT_FLOAT"}, "filter_format": {"s": "SFdJTw=="}, "leakyrelu_alpha": {"f": 0.2}, "num_host_args": {"i": "0"}}}, {"name": "model/tf.math.sigmoid_3/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_3/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_15/Mul", "op": "Mul", "input": ["model/tf.math.add_3/Add", "model/tf.math.sigmoid_3/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_4/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_15/Mul", "model/tf.nn.convolution_4/convolution/filter", "model/tf.math.add_4/Add/y"], "device": "/device:CPU:0", "attr": {"explicit_paddings": {"list": {}}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "filter_format": {"s": "SFdJTw=="}, "use_cudnn_on_gpu": {"b": true}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "leakyrelu_alpha": {"f": 0.2}, "T": {"type": "DT_FLOAT"}, "padding": {"s": "U0FNRQ=="}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "epsilon": {"f": 0.0}, "data_format": {"s": "TkhXQw=="}, "num_host_args": {"i": "0"}, "num_args": {"i": "1"}}}, {"name": "model/tf.math.sigmoid_4/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_4/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_19/Mul", "op": "Mul", "input": ["model/tf.math.add_4/Add", "model/tf.math.sigmoid_4/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_6/Add", "op": "AddV2", "input": ["model/tf.strided_slice_1/StridedSlice", "model/tf.math.multiply_19/Mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.concat/concat", "op": "ConcatV2", "input": ["model/tf.strided_slice/StridedSlice", "model/tf.strided_slice_1/StridedSlice", "model/tf.math.add_6/Add", "model/tf.concat/concat/axis"], "attr": {"Tidx": {"type": "DT_INT32"}, "N": {"i": "3"}, "T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_7/Add", "op": "_FusedConv2D", "input": ["model/tf.concat/concat", "model/tf.nn.convolution_5/convolution/filter", "model/tf.math.add_7/Add/y"], "device": "/device:CPU:0", "attr": {"use_cudnn_on_gpu": {"b": true}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "padding": {"s": "U0FNRQ=="}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "explicit_paddings": {"list": {}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "num_host_args": {"i": "0"}, "T": {"type": "DT_FLOAT"}, "num_args": {"i": "1"}, "data_format": {"s": "TkhXQw=="}, "filter_format": {"s": "SFdJTw=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "leakyrelu_alpha": {"f": 0.2}, "epsilon": {"f": 0.0}}}, {"name": "model/tf.math.sigmoid_5/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_7/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_25/Mul", "op": "Mul", "input": ["model/tf.math.add_7/Add", "model/tf.math.sigmoid_5/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.compat.v1.pad_2/Pad", "op": "Pad", "input": ["model/tf.math.multiply_25/Mul", "model/tf.compat.v1.pad_2/Pad/paddings"], "attr": {"Tpaddings": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_8/Add", "op": "_FusedConv2D", "input": ["model/tf.compat.v1.pad_2/Pad", "model/tf.nn.convolution_6/convolution/filter", "model/tf.math.add_8/Add/y"], "device": "/device:CPU:0", "attr": {"filter_format": {"s": "SFdJTw=="}, "num_args": {"i": "1"}, "explicit_paddings": {"list": {}}, "epsilon": {"f": 0.0}, "T": {"type": "DT_FLOAT"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "use_cudnn_on_gpu": {"b": true}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "data_format": {"s": "TkhXQw=="}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "leakyrelu_alpha": {"f": 0.2}, "padding": {"s": "VkFMSUQ="}, "num_host_args": {"i": "0"}}}, {"name": "model/tf.math.sigmoid_6/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_8/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_29/Mul", "op": "Mul", "input": ["model/tf.math.add_8/Add", "model/tf.math.sigmoid_6/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_9/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_29/Mul", "model/tf.nn.convolution_7/convolution/filter", "model/tf.math.add_9/Add/y"], "device": "/device:CPU:0", "attr": {"padding": {"s": "U0FNRQ=="}, "T": {"type": "DT_FLOAT"}, "leakyrelu_alpha": {"f": 0.2}, "filter_format": {"s": "SFdJTw=="}, "num_args": {"i": "1"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "data_format": {"s": "TkhXQw=="}, "use_cudnn_on_gpu": {"b": true}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "epsilon": {"f": 0.0}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "explicit_paddings": {"list": {}}, "num_host_args": {"i": "0"}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}}}, {"name": "model/tf.math.sigmoid_7/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_9/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_33/Mul", "op": "Mul", "input": ["model/tf.math.add_9/Add", "model/tf.math.sigmoid_7/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.strided_slice_2/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_33/Mul", "model/tf.strided_slice_2/ones_like/tensor", "model/tf.strided_slice_2/StridedSlice/end", "model/tf.strided_slice_2/ones_like"], "attr": {"end_mask": {"i": "7"}, "begin_mask": {"i": "15"}, "T": {"type": "DT_FLOAT"}, "ellipsis_mask": {"i": "0"}, "shrink_axis_mask": {"i": "0"}, "Index": {"type": "DT_INT64"}, "new_axis_mask": {"i": "0"}}}, {"name": "model/tf.strided_slice_3/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_33/Mul", "model/tf.strided_slice_3/ones_like/tensor", "model/tf.strided_slice_3/StridedSlice/end", "model/tf.strided_slice_3/ones_like"], "attr": {"T": {"type": "DT_FLOAT"}, "end_mask": {"i": "7"}, "begin_mask": {"i": "7"}, "shrink_axis_mask": {"i": "0"}, "ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "Index": {"type": "DT_INT64"}}}, {"name": "model/tf.math.add_10/Add", "op": "_FusedConv2D", "input": ["model/tf.strided_slice_3/StridedSlice", "model/tf.nn.convolution_8/convolution/filter", "model/tf.math.add_10/Add/y"], "device": "/device:CPU:0", "attr": {"num_args": {"i": "1"}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "padding": {"s": "U0FNRQ=="}, "data_format": {"s": "TkhXQw=="}, "epsilon": {"f": 0.0}, "num_host_args": {"i": "0"}, "explicit_paddings": {"list": {}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "use_cudnn_on_gpu": {"b": true}, "filter_format": {"s": "SFdJTw=="}, "leakyrelu_alpha": {"f": 0.2}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}}}, {"name": "model/tf.math.sigmoid_8/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_10/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_37/Mul", "op": "Mul", "input": ["model/tf.math.add_10/Add", "model/tf.math.sigmoid_8/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_11/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_37/Mul", "model/tf.nn.convolution_9/convolution/filter", "model/tf.math.add_11/Add/y"], "device": "/device:CPU:0", "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "leakyrelu_alpha": {"f": 0.2}, "num_host_args": {"i": "0"}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "epsilon": {"f": 0.0}, "data_format": {"s": "TkhXQw=="}, "T": {"type": "DT_FLOAT"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "padding": {"s": "U0FNRQ=="}, "explicit_paddings": {"list": {}}, "num_args": {"i": "1"}, "filter_format": {"s": "SFdJTw=="}, "use_cudnn_on_gpu": {"b": true}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}}}, {"name": "model/tf.math.sigmoid_9/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_11/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_41/Mul", "op": "Mul", "input": ["model/tf.math.add_11/Add", "model/tf.math.sigmoid_9/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_13/Add", "op": "AddV2", "input": ["model/tf.strided_slice_3/StridedSlice", "model/tf.math.multiply_41/Mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_14/Add", "op": "_FusedConv2D", "input": ["model/tf.math.add_13/Add", "model/tf.nn.convolution_10/convolution/filter", "model/tf.math.add_14/Add/y"], "device": "/device:CPU:0", "attr": {"use_cudnn_on_gpu": {"b": true}, "num_host_args": {"i": "0"}, "filter_format": {"s": "SFdJTw=="}, "epsilon": {"f": 0.0}, "leakyrelu_alpha": {"f": 0.2}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "padding": {"s": "U0FNRQ=="}, "explicit_paddings": {"list": {}}, "data_format": {"s": "TkhXQw=="}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "T": {"type": "DT_FLOAT"}, "num_args": {"i": "1"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}}}, {"name": "model/tf.math.sigmoid_10/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_14/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_47/Mul", "op": "Mul", "input": ["model/tf.math.add_14/Add", "model/tf.math.sigmoid_10/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_15/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_47/Mul", "model/tf.nn.convolution_11/convolution/filter", "model/tf.math.add_15/Add/y"], "device": "/device:CPU:0", "attr": {"use_cudnn_on_gpu": {"b": true}, "data_format": {"s": "TkhXQw=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "filter_format": {"s": "SFdJTw=="}, "leakyrelu_alpha": {"f": 0.2}, "num_args": {"i": "1"}, "padding": {"s": "U0FNRQ=="}, "num_host_args": {"i": "0"}, "explicit_paddings": {"list": {}}, "epsilon": {"f": 0.0}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "T": {"type": "DT_FLOAT"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}}}, {"name": "model/tf.math.sigmoid_11/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_15/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_51/Mul", "op": "Mul", "input": ["model/tf.math.add_15/Add", "model/tf.math.sigmoid_11/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_17/Add", "op": "AddV2", "input": ["model/tf.math.add_13/Add", "model/tf.math.multiply_51/Mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.concat_1/concat", "op": "ConcatV2", "input": ["model/tf.strided_slice_2/StridedSlice", "model/tf.strided_slice_3/StridedSlice", "model/tf.math.add_13/Add", "model/tf.math.add_17/Add", "model/tf.concat_1/concat/axis"], "attr": {"N": {"i": "4"}, "T": {"type": "DT_FLOAT"}, "Tidx": {"type": "DT_INT32"}}}, {"name": "model/tf.math.add_18/Add", "op": "_FusedConv2D", "input": ["model/tf.concat_1/concat", "model/tf.nn.convolution_12/convolution/filter", "model/tf.math.add_18/Add/y"], "device": "/device:CPU:0", "attr": {"num_args": {"i": "1"}, "epsilon": {"f": 0.0}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "leakyrelu_alpha": {"f": 0.2}, "padding": {"s": "U0FNRQ=="}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "use_cudnn_on_gpu": {"b": true}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "num_host_args": {"i": "0"}, "explicit_paddings": {"list": {}}, "filter_format": {"s": "SFdJTw=="}, "data_format": {"s": "TkhXQw=="}}}, {"name": "model/tf.math.sigmoid_12/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_18/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_57/Mul", "op": "Mul", "input": ["model/tf.math.add_18/Add", "model/tf.math.sigmoid_12/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.compat.v1.pad_3/Pad", "op": "Pad", "input": ["model/tf.math.multiply_57/Mul", "model/tf.compat.v1.pad_3/Pad/paddings"], "attr": {"T": {"type": "DT_FLOAT"}, "Tpaddings": {"type": "DT_INT32"}}}, {"name": "model/tf.math.add_19/Add", "op": "_FusedConv2D", "input": ["model/tf.compat.v1.pad_3/Pad", "model/tf.nn.convolution_13/convolution/filter", "model/tf.math.add_19/Add/y"], "device": "/device:CPU:0", "attr": {"leakyrelu_alpha": {"f": 0.2}, "explicit_paddings": {"list": {}}, "epsilon": {"f": 0.0}, "num_host_args": {"i": "0"}, "use_cudnn_on_gpu": {"b": true}, "filter_format": {"s": "SFdJTw=="}, "T": {"type": "DT_FLOAT"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "padding": {"s": "VkFMSUQ="}, "num_args": {"i": "1"}, "data_format": {"s": "TkhXQw=="}}}, {"name": "model/tf.math.sigmoid_13/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_19/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_61/Mul", "op": "Mul", "input": ["model/tf.math.add_19/Add", "model/tf.math.sigmoid_13/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_20/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_61/Mul", "model/tf.nn.convolution_14/convolution/filter", "model/tf.math.add_20/Add/y"], "device": "/device:CPU:0", "attr": {"use_cudnn_on_gpu": {"b": true}, "T": {"type": "DT_FLOAT"}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "filter_format": {"s": "SFdJTw=="}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "num_args": {"i": "1"}, "num_host_args": {"i": "0"}, "leakyrelu_alpha": {"f": 0.2}, "explicit_paddings": {"list": {}}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "padding": {"s": "U0FNRQ=="}, "epsilon": {"f": 0.0}, "data_format": {"s": "TkhXQw=="}}}, {"name": "model/tf.math.sigmoid_14/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_20/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_65/Mul", "op": "Mul", "input": ["model/tf.math.add_20/Add", "model/tf.math.sigmoid_14/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.strided_slice_4/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_65/Mul", "model/tf.strided_slice_4/ones_like/tensor", "model/tf.strided_slice_4/StridedSlice/end", "model/tf.strided_slice_4/ones_like"], "attr": {"new_axis_mask": {"i": "0"}, "shrink_axis_mask": {"i": "0"}, "end_mask": {"i": "7"}, "ellipsis_mask": {"i": "0"}, "Index": {"type": "DT_INT64"}, "T": {"type": "DT_FLOAT"}, "begin_mask": {"i": "15"}}}, {"name": "model/tf.strided_slice_5/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_65/Mul", "model/tf.strided_slice_5/ones_like/tensor", "model/tf.strided_slice_5/StridedSlice/end", "model/tf.strided_slice_5/ones_like"], "attr": {"end_mask": {"i": "7"}, "Index": {"type": "DT_INT64"}, "shrink_axis_mask": {"i": "0"}, "ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "T": {"type": "DT_FLOAT"}, "begin_mask": {"i": "7"}}}, {"name": "model/tf.math.add_21/Add", "op": "_FusedConv2D", "input": ["model/tf.strided_slice_5/StridedSlice", "model/tf.nn.convolution_15/convolution/filter", "model/tf.math.add_21/Add/y"], "device": "/device:CPU:0", "attr": {"use_cudnn_on_gpu": {"b": true}, "T": {"type": "DT_FLOAT"}, "leakyrelu_alpha": {"f": 0.2}, "data_format": {"s": "TkhXQw=="}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "padding": {"s": "U0FNRQ=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "epsilon": {"f": 0.0}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "filter_format": {"s": "SFdJTw=="}, "explicit_paddings": {"list": {}}, "num_args": {"i": "1"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "num_host_args": {"i": "0"}}}, {"name": "model/tf.math.sigmoid_15/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_21/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_69/Mul", "op": "Mul", "input": ["model/tf.math.add_21/Add", "model/tf.math.sigmoid_15/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_22/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_69/Mul", "model/tf.nn.convolution_16/convolution/filter", "model/tf.math.add_22/Add/y"], "device": "/device:CPU:0", "attr": {"filter_format": {"s": "SFdJTw=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "leakyrelu_alpha": {"f": 0.2}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "epsilon": {"f": 0.0}, "padding": {"s": "U0FNRQ=="}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "T": {"type": "DT_FLOAT"}, "use_cudnn_on_gpu": {"b": true}, "num_host_args": {"i": "0"}, "num_args": {"i": "1"}, "data_format": {"s": "TkhXQw=="}, "explicit_paddings": {"list": {}}}}, {"name": "model/tf.math.sigmoid_16/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_22/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_73/Mul", "op": "Mul", "input": ["model/tf.math.add_22/Add", "model/tf.math.sigmoid_16/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_24/Add", "op": "AddV2", "input": ["model/tf.strided_slice_5/StridedSlice", "model/tf.math.multiply_73/Mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_25/Add", "op": "_FusedConv2D", "input": ["model/tf.math.add_24/Add", "model/tf.nn.convolution_17/convolution/filter", "model/tf.math.add_25/Add/y"], "device": "/device:CPU:0", "attr": {"data_format": {"s": "TkhXQw=="}, "padding": {"s": "U0FNRQ=="}, "use_cudnn_on_gpu": {"b": true}, "T": {"type": "DT_FLOAT"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "explicit_paddings": {"list": {}}, "num_host_args": {"i": "0"}, "num_args": {"i": "1"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "leakyrelu_alpha": {"f": 0.2}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "filter_format": {"s": "SFdJTw=="}, "epsilon": {"f": 0.0}}}, {"name": "model/tf.math.sigmoid_17/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_25/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_79/Mul", "op": "Mul", "input": ["model/tf.math.add_25/Add", "model/tf.math.sigmoid_17/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_26/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_79/Mul", "model/tf.nn.convolution_18/convolution/filter", "model/tf.math.add_26/Add/y"], "device": "/device:CPU:0", "attr": {"use_cudnn_on_gpu": {"b": true}, "num_host_args": {"i": "0"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "num_args": {"i": "1"}, "T": {"type": "DT_FLOAT"}, "explicit_paddings": {"list": {}}, "padding": {"s": "U0FNRQ=="}, "data_format": {"s": "TkhXQw=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "leakyrelu_alpha": {"f": 0.2}, "epsilon": {"f": 0.0}, "filter_format": {"s": "SFdJTw=="}}}, {"name": "model/tf.math.sigmoid_18/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_26/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_83/Mul", "op": "Mul", "input": ["model/tf.math.add_26/Add", "model/tf.math.sigmoid_18/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_28/Add", "op": "AddV2", "input": ["model/tf.math.add_24/Add", "model/tf.math.multiply_83/Mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.concat_2/concat", "op": "ConcatV2", "input": ["model/tf.strided_slice_4/StridedSlice", "model/tf.strided_slice_5/StridedSlice", "model/tf.math.add_24/Add", "model/tf.math.add_28/Add", "model/tf.concat_2/concat/axis"], "attr": {"N": {"i": "4"}, "T": {"type": "DT_FLOAT"}, "Tidx": {"type": "DT_INT32"}}}, {"name": "model/tf.math.add_29/Add", "op": "_FusedConv2D", "input": ["model/tf.concat_2/concat", "model/tf.nn.convolution_19/convolution/filter", "model/tf.math.add_29/Add/y"], "device": "/device:CPU:0", "attr": {"use_cudnn_on_gpu": {"b": true}, "explicit_paddings": {"list": {}}, "epsilon": {"f": 0.0}, "data_format": {"s": "TkhXQw=="}, "padding": {"s": "U0FNRQ=="}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "T": {"type": "DT_FLOAT"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "leakyrelu_alpha": {"f": 0.2}, "num_args": {"i": "1"}, "filter_format": {"s": "SFdJTw=="}, "num_host_args": {"i": "0"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}}}, {"name": "model/tf.math.sigmoid_19/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_29/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_89/Mul", "op": "Mul", "input": ["model/tf.math.add_29/Add", "model/tf.math.sigmoid_19/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.compat.v1.pad_4/Pad", "op": "Pad", "input": ["model/tf.math.multiply_89/Mul", "model/tf.compat.v1.pad_4/Pad/paddings"], "attr": {"Tpaddings": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_30/Add", "op": "_FusedConv2D", "input": ["model/tf.compat.v1.pad_4/Pad", "model/tf.nn.convolution_20/convolution/filter", "model/tf.math.add_30/Add/y"], "device": "/device:CPU:0", "attr": {"num_args": {"i": "1"}, "filter_format": {"s": "SFdJTw=="}, "epsilon": {"f": 0.0}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "num_host_args": {"i": "0"}, "use_cudnn_on_gpu": {"b": true}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "explicit_paddings": {"list": {}}, "leakyrelu_alpha": {"f": 0.2}, "padding": {"s": "VkFMSUQ="}, "T": {"type": "DT_FLOAT"}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "data_format": {"s": "TkhXQw=="}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}}}, {"name": "model/tf.math.sigmoid_20/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_30/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_93/Mul", "op": "Mul", "input": ["model/tf.math.add_30/Add", "model/tf.math.sigmoid_20/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_31/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_93/Mul", "model/tf.nn.convolution_21/convolution/filter", "model/tf.math.add_31/Add/y"], "device": "/device:CPU:0", "attr": {"fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "T": {"type": "DT_FLOAT"}, "padding": {"s": "U0FNRQ=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "num_host_args": {"i": "0"}, "filter_format": {"s": "SFdJTw=="}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "use_cudnn_on_gpu": {"b": true}, "explicit_paddings": {"list": {}}, "epsilon": {"f": 0.0}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "data_format": {"s": "TkhXQw=="}, "num_args": {"i": "1"}, "leakyrelu_alpha": {"f": 0.2}}}, {"name": "model/tf.math.sigmoid_21/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_31/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_97/Mul", "op": "Mul", "input": ["model/tf.math.add_31/Add", "model/tf.math.sigmoid_21/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.strided_slice_6/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_97/Mul", "model/tf.strided_slice_6/ones_like/tensor", "model/tf.strided_slice_6/StridedSlice/end", "model/tf.strided_slice_6/ones_like"], "attr": {"begin_mask": {"i": "15"}, "ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "shrink_axis_mask": {"i": "0"}, "T": {"type": "DT_FLOAT"}, "Index": {"type": "DT_INT64"}, "end_mask": {"i": "7"}}}, {"name": "model/tf.strided_slice_7/StridedSlice", "op": "StridedSlice", "input": ["model/tf.math.multiply_97/Mul", "model/tf.strided_slice_7/ones_like/tensor", "model/tf.strided_slice_7/StridedSlice/end", "model/tf.strided_slice_7/ones_like"], "attr": {"ellipsis_mask": {"i": "0"}, "end_mask": {"i": "7"}, "Index": {"type": "DT_INT64"}, "shrink_axis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "T": {"type": "DT_FLOAT"}, "begin_mask": {"i": "7"}}}, {"name": "model/tf.math.add_32/Add", "op": "_FusedConv2D", "input": ["model/tf.strided_slice_7/StridedSlice", "model/tf.nn.convolution_22/convolution/filter", "model/tf.math.add_32/Add/y"], "device": "/device:CPU:0", "attr": {"leakyrelu_alpha": {"f": 0.2}, "filter_format": {"s": "SFdJTw=="}, "epsilon": {"f": 0.0}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "num_host_args": {"i": "0"}, "padding": {"s": "U0FNRQ=="}, "explicit_paddings": {"list": {}}, "num_args": {"i": "1"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "data_format": {"s": "TkhXQw=="}, "T": {"type": "DT_FLOAT"}, "use_cudnn_on_gpu": {"b": true}}}, {"name": "model/tf.math.sigmoid_22/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_32/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_101/Mul", "op": "Mul", "input": ["model/tf.math.add_32/Add", "model/tf.math.sigmoid_22/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_33/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_101/Mul", "model/tf.nn.convolution_23/convolution/filter", "model/tf.math.add_33/Add/y"], "device": "/device:CPU:0", "attr": {"leakyrelu_alpha": {"f": 0.2}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "use_cudnn_on_gpu": {"b": true}, "explicit_paddings": {"list": {}}, "T": {"type": "DT_FLOAT"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "TArgs": {"list": {"type": ["DT_FLOAT"]}}, "num_host_args": {"i": "0"}, "filter_format": {"s": "SFdJTw=="}, "data_format": {"s": "TkhXQw=="}, "epsilon": {"f": 0.0}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "num_args": {"i": "1"}, "padding": {"s": "U0FNRQ=="}}}, {"name": "model/tf.math.sigmoid_23/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_33/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_105/Mul", "op": "Mul", "input": ["model/tf.math.add_33/Add", "model/tf.math.sigmoid_23/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_35/Add", "op": "AddV2", "input": ["model/tf.strided_slice_7/StridedSlice", "model/tf.math.multiply_105/Mul"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.concat_3/concat", "op": "ConcatV2", "input": ["model/tf.strided_slice_6/StridedSlice", "model/tf.strided_slice_7/StridedSlice", "model/tf.math.add_35/Add", "model/tf.concat_3/concat/axis"], "attr": {"T": {"type": "DT_FLOAT"}, "Tidx": {"type": "DT_INT32"}, "N": {"i": "3"}}}, {"name": "model/tf.math.add_36/Add", "op": "_FusedConv2D", "input": ["model/tf.concat_3/concat", "model/tf.nn.convolution_24/convolution/filter", "model/tf.math.add_36/Add/y"], "device": "/device:CPU:0", "attr": {"TArgs": {"list": {"type": ["DT_FLOAT"]}}, "explicit_paddings": {"list": {}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "filter_format": {"s": "SFdJTw=="}, "epsilon": {"f": 0.0}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "num_host_args": {"i": "0"}, "num_args": {"i": "1"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "leakyrelu_alpha": {"f": 0.2}, "data_format": {"s": "TkhXQw=="}, "use_cudnn_on_gpu": {"b": true}, "padding": {"s": "U0FNRQ=="}}}, {"name": "model/tf.math.sigmoid_24/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_36/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_111/Mul", "op": "Mul", "input": ["model/tf.math.add_36/Add", "model/tf.math.sigmoid_24/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.add_37/Add", "op": "_FusedConv2D", "input": ["model/tf.math.multiply_111/Mul", "model/tf.nn.convolution_25/convolution/filter", "model/tf.math.add_37/Add/y"], "device": "/device:CPU:0", "attr": {"TArgs": {"list": {"type": ["DT_FLOAT"]}}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "explicit_paddings": {"list": {}}, "padding": {"s": "U0FNRQ=="}, "T": {"type": "DT_FLOAT"}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "filter_format": {"s": "SFdJTw=="}, "leakyrelu_alpha": {"f": 0.2}, "use_cudnn_on_gpu": {"b": true}, "data_format": {"s": "TkhXQw=="}, "num_host_args": {"i": "0"}, "num_args": {"i": "1"}, "epsilon": {"f": 0.0}}}, {"name": "model/tf.math.sigmoid_25/Sigmoid", "op": "Sigmoid", "input": ["model/tf.math.add_37/Add"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.multiply_115/Mul", "op": "Mul", "input": ["model/tf.math.add_37/Add", "model/tf.math.sigmoid_25/Sigmoid"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.math.reduce_mean/Mean", "op": "Mean", "input": ["model/tf.math.multiply_115/Mul", "model/tf.math.reduce_mean/Mean/reduction_indices"], "attr": {"Tidx": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}, "keep_dims": {"b": true}}}, {"name": "model/tf.compat.v1.transpose/transpose", "op": "Transpose", "input": ["model/tf.math.reduce_mean/Mean", "model/tf.compat.v1.transpose/transpose/perm"], "attr": {"Tperm": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}}}, {"name": "model/tf.reshape/Reshape", "op": "Reshape", "input": ["model/tf.compat.v1.transpose/transpose", "model/tf.reshape/Reshape/shape"], "attr": {"T": {"type": "DT_FLOAT"}, "Tshape": {"type": "DT_INT32"}}}, {"name": "model/tf.__operators__.add/AddV2", "op": "_FusedMatMul", "input": ["model/tf.reshape/Reshape", "model/tf.linalg.matmul/MatMul/b", "model/tf.__operators__.add/AddV2/y"], "device": "/device:CPU:0", "attr": {"leakyrelu_alpha": {"f": 0.2}, "epsilon": {"f": 0.0}, "fused_ops": {"list": {"s": ["Qmlhc0FkZA=="]}}, "transpose_a": {"b": false}, "transpose_b": {"b": false}, "T": {"type": "DT_FLOAT"}, "num_args": {"i": "1"}}}, {"name": "model/output0//model.9/Softmax", "op": "Softmax", "input": ["model/tf.__operators__.add/AddV2"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "Identity", "op": "Identity", "input": ["model/output0//model.9/Softmax"], "attr": {"T": {"type": "DT_FLOAT"}}}], "library": {}, "versions": {"producer": 1994}}, "weightsManifest": [{"paths": ["group1-shard1of2.bin", "group1-shard2of2.bin"], "weights": [{"name": "model/tf.strided_slice_6/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_6/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_6/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_4/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_4/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_4/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_2/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_2/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_2/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.compat.v1.pad/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf.nn.convolution/convolution/filter", "shape": [3, 3, 3, 16], "dtype": "float32"}, {"name": "model/tf.math.add/Add/y", "shape": [16], "dtype": "float32"}, {"name": "model/tf.compat.v1.pad_1/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf.nn.convolution_1/convolution/filter", "shape": [3, 3, 16, 32], "dtype": "float32"}, {"name": "model/tf.math.add_1/Add/y", "shape": [32], "dtype": "float32"}, {"name": "model/tf.nn.convolution_2/convolution/filter", "shape": [1, 1, 32, 32], "dtype": "float32"}, {"name": "model/tf.math.add_2/Add/y", "shape": [32], "dtype": "float32"}, {"name": "model/tf.strided_slice_1/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_1/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_1/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.nn.convolution_3/convolution/filter", "shape": [3, 3, 16, 16], "dtype": "float32"}, {"name": "model/tf.math.add_3/Add/y", "shape": [16], "dtype": "float32"}, {"name": "model/tf.nn.convolution_4/convolution/filter", "shape": [3, 3, 16, 16], "dtype": "float32"}, {"name": "model/tf.math.add_4/Add/y", "shape": [16], "dtype": "float32"}, {"name": "model/tf.concat/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tf.nn.convolution_5/convolution/filter", "shape": [1, 1, 48, 32], "dtype": "float32"}, {"name": "model/tf.math.add_7/Add/y", "shape": [32], "dtype": "float32"}, {"name": "model/tf.compat.v1.pad_2/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf.nn.convolution_6/convolution/filter", "shape": [3, 3, 32, 64], "dtype": "float32"}, {"name": "model/tf.math.add_8/Add/y", "shape": [64], "dtype": "float32"}, {"name": "model/tf.nn.convolution_7/convolution/filter", "shape": [1, 1, 64, 64], "dtype": "float32"}, {"name": "model/tf.math.add_9/Add/y", "shape": [64], "dtype": "float32"}, {"name": "model/tf.strided_slice_3/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_3/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_3/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.nn.convolution_8/convolution/filter", "shape": [3, 3, 32, 32], "dtype": "float32"}, {"name": "model/tf.math.add_10/Add/y", "shape": [32], "dtype": "float32"}, {"name": "model/tf.nn.convolution_9/convolution/filter", "shape": [3, 3, 32, 32], "dtype": "float32"}, {"name": "model/tf.math.add_11/Add/y", "shape": [32], "dtype": "float32"}, {"name": "model/tf.nn.convolution_10/convolution/filter", "shape": [3, 3, 32, 32], "dtype": "float32"}, {"name": "model/tf.math.add_14/Add/y", "shape": [32], "dtype": "float32"}, {"name": "model/tf.nn.convolution_11/convolution/filter", "shape": [3, 3, 32, 32], "dtype": "float32"}, {"name": "model/tf.math.add_15/Add/y", "shape": [32], "dtype": "float32"}, {"name": "model/tf.concat_1/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tf.nn.convolution_12/convolution/filter", "shape": [1, 1, 128, 64], "dtype": "float32"}, {"name": "model/tf.math.add_18/Add/y", "shape": [64], "dtype": "float32"}, {"name": "model/tf.compat.v1.pad_3/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf.nn.convolution_13/convolution/filter", "shape": [3, 3, 64, 128], "dtype": "float32"}, {"name": "model/tf.math.add_19/Add/y", "shape": [128], "dtype": "float32"}, {"name": "model/tf.nn.convolution_14/convolution/filter", "shape": [1, 1, 128, 128], "dtype": "float32"}, {"name": "model/tf.math.add_20/Add/y", "shape": [128], "dtype": "float32"}, {"name": "model/tf.strided_slice_5/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_5/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_5/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.nn.convolution_15/convolution/filter", "shape": [3, 3, 64, 64], "dtype": "float32"}, {"name": "model/tf.math.add_21/Add/y", "shape": [64], "dtype": "float32"}, {"name": "model/tf.nn.convolution_16/convolution/filter", "shape": [3, 3, 64, 64], "dtype": "float32"}, {"name": "model/tf.math.add_22/Add/y", "shape": [64], "dtype": "float32"}, {"name": "model/tf.nn.convolution_17/convolution/filter", "shape": [3, 3, 64, 64], "dtype": "float32"}, {"name": "model/tf.math.add_25/Add/y", "shape": [64], "dtype": "float32"}, {"name": "model/tf.nn.convolution_18/convolution/filter", "shape": [3, 3, 64, 64], "dtype": "float32"}, {"name": "model/tf.math.add_26/Add/y", "shape": [64], "dtype": "float32"}, {"name": "model/tf.concat_2/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tf.nn.convolution_19/convolution/filter", "shape": [1, 1, 256, 128], "dtype": "float32"}, {"name": "model/tf.math.add_29/Add/y", "shape": [128], "dtype": "float32"}, {"name": "model/tf.compat.v1.pad_4/Pad/paddings", "shape": [4, 2], "dtype": "int32"}, {"name": "model/tf.nn.convolution_20/convolution/filter", "shape": [3, 3, 128, 256], "dtype": "float32"}, {"name": "model/tf.math.add_30/Add/y", "shape": [256], "dtype": "float32"}, {"name": "model/tf.nn.convolution_21/convolution/filter", "shape": [1, 1, 256, 256], "dtype": "float32"}, {"name": "model/tf.math.add_31/Add/y", "shape": [256], "dtype": "float32"}, {"name": "model/tf.strided_slice_7/ones_like/tensor", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_7/StridedSlice/end", "shape": [4], "dtype": "int32"}, {"name": "model/tf.strided_slice_7/ones_like", "shape": [4], "dtype": "int32"}, {"name": "model/tf.nn.convolution_22/convolution/filter", "shape": [3, 3, 128, 128], "dtype": "float32"}, {"name": "model/tf.math.add_32/Add/y", "shape": [128], "dtype": "float32"}, {"name": "model/tf.nn.convolution_23/convolution/filter", "shape": [3, 3, 128, 128], "dtype": "float32"}, {"name": "model/tf.math.add_33/Add/y", "shape": [128], "dtype": "float32"}, {"name": "model/tf.concat_3/concat/axis", "shape": [], "dtype": "int32"}, {"name": "model/tf.nn.convolution_24/convolution/filter", "shape": [1, 1, 384, 256], "dtype": "float32"}, {"name": "model/tf.math.add_36/Add/y", "shape": [256], "dtype": "float32"}, {"name": "model/tf.nn.convolution_25/convolution/filter", "shape": [1, 1, 256, 1280], "dtype": "float32"}, {"name": "model/tf.math.add_37/Add/y", "shape": [1280], "dtype": "float32"}, {"name": "model/tf.math.reduce_mean/Mean/reduction_indices", "shape": [2], "dtype": "int32"}, {"name": "model/tf.compat.v1.transpose/transpose/perm", "shape": [4], "dtype": "int32"}, {"name": "model/tf.reshape/Reshape/shape", "shape": [2], "dtype": "int32"}, {"name": "model/tf.linalg.matmul/MatMul/b", "shape": [1280, 2], "dtype": "float32"}, {"name": "model/tf.__operators__.add/AddV2/y", "shape": [2], "dtype": "float32"}]}]} |