@codait/max-image-segmenter
Version:
Identify objects in an image, additionally assigning each pixel of the image to a particular object.
1 lines • 120 kB
JSON
{"modelTopology": {"node": [{"name": "image_pooling/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "320"}, {"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "image_pooling/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}}}, {"name": "MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "24"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "mul_1/x", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "sub_1/x", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "stack_2", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "Reshape", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "3"}]}}}}}, {"name": "stack/0", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "ToFloat/x", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/Conv/Conv2D/merged_input", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "3"}, {"size": "32"}]}}}}}, {"name": "MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "32"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "32"}, {"size": "16"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "16"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "16"}, {"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "96"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "96"}]}}}}}, {"name": "MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "96"}, {"size": "24"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "24"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "24"}, {"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/depthwise/depthwise_weights", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "144"}, {"size": "1"}]}}}}}, {"name": "MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "144"}, {"size": "24"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_3/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "24"}, {"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_3/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "144"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "144"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_3/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "144"}, {"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_4/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "32"}, {"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_4/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "192"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}}}, {"name": "MobilenetV2/expanded_conv_4/project/Conv2D/merged_input", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "192"}, {"size": "32"}]}}}}}, {"name": "MobilenetV2/expanded_conv_5/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "32"}, {"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_5/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "192"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_5/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "192"}, {"size": "32"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_6/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "32"}, {"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}}}, {"name": "MobilenetV2/expanded_conv_6/depthwise/depthwise_weights", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "192"}, {"size": "1"}]}}}}}, {"name": "MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}}}, {"name": "MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "192"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_6/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "192"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}}}, {"name": "MobilenetV2/expanded_conv_7/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "64"}, {"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_7/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "384"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_7/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "384"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_8/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "64"}, {"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_8/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "384"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_8/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "384"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_9/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "64"}, {"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_9/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "384"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_9/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "384"}, {"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "64"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_10/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "64"}, {"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_10/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "384"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "384"}]}}}}}, {"name": "MobilenetV2/expanded_conv_10/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "384"}, {"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_11/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "96"}, {"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}}}, {"name": "MobilenetV2/expanded_conv_11/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "576"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}}}, {"name": "MobilenetV2/expanded_conv_11/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "576"}, {"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_12/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "96"}, {"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}}}, {"name": "MobilenetV2/expanded_conv_12/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "576"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_12/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "576"}, {"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "96"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_13/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "96"}, {"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_7/depthwise/depthwise/SpaceToBatchND/paddings", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}, {"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "MobilenetV2/expanded_conv_13/depthwise/depthwise_weights", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "576"}, {"size": "1"}]}}}}}, {"name": "MobilenetV2/expanded_conv_7/depthwise/depthwise/SpaceToBatchND/block_shape", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "MobilenetV2/expanded_conv_7/depthwise/depthwise/BatchToSpaceND/crops", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}, {"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "576"}]}}}}}, {"name": "MobilenetV2/expanded_conv_13/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "576"}, {"size": "160"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "160"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "160"}, {"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "960"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/project/Conv2D/merged_input", "op": "Const", "attr": {"dtype": {"type": "DT_FLOAT"}, "value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "960"}, {"size": "160"}]}}}}}, {"name": "MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "160"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_15/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "160"}, {"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_15/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "960"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_15/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "960"}, {"size": "160"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "160"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_16/expand/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "160"}, {"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/depthwise/depthwise/SpaceToBatchND/paddings", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}, {"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "MobilenetV2/expanded_conv_16/depthwise/depthwise_weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "3"}, {"size": "3"}, {"size": "960"}, {"size": "1"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_14/depthwise/depthwise/SpaceToBatchND/block_shape", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "MobilenetV2/expanded_conv_14/depthwise/depthwise/BatchToSpaceND/crops", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}, {"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Scaled", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "960"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_16/project/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "960"}, {"size": "320"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "320"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "aspp0/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "320"}, {"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "aspp0/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "concat_projection/Conv2D/merged_input", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "512"}, {"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "concat_projection/BatchNorm/FusedBatchNorm/Offset", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "256"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "logits/semantic/weights", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "1"}, {"size": "1"}, {"size": "256"}, {"size": "21"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "logits/semantic/biases", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "21"}]}}}, "dtype": {"type": "DT_FLOAT"}}}, {"name": "ResizeBilinear_1/size", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "strided_slice_7", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "2"}]}}}}}, {"name": "Assert/Assert/data_1", "op": "Const", "attr": {"dtype": {"type": "DT_INT32"}, "value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}}}, {"name": "SemanticPredictions/begin", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "3"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "SemanticPredictions/size/0", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "strided_slice_3/stack", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "1"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "ImageTensor", "op": "Placeholder", "attr": {"shape": {"shape": {"dim": [{"size": "1"}, {"size": "-1"}, {"size": "-1"}, {"size": "3"}]}}, "dtype": {"type": "DT_UINT8"}}}, {"name": "strided_slice/stack_1", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "1"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "strided_slice_4/stack_1", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "1"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "strided_slice_4/stack", "op": "Const", "attr": {"value": {"tensor": {"dtype": "DT_INT32", "tensorShape": {"dim": [{"size": "1"}]}}}, "dtype": {"type": "DT_INT32"}}}, {"name": "Squeeze", "op": "Squeeze", "input": ["ImageTensor"], "attr": {"T": {"type": "DT_UINT8"}, "squeeze_dims": {"list": {"i": ["0"]}}}}, {"name": "Shape", "op": "Shape", "input": ["ImageTensor"], "attr": {"T": {"type": "DT_UINT8"}, "out_type": {"type": "DT_INT32"}}}, {"name": "Cast", "op": "Cast", "input": ["Squeeze"], "attr": {"SrcT": {"type": "DT_UINT8"}, "Truncate": {"b": false}, "DstT": {"type": "DT_FLOAT"}}}, {"name": "strided_slice", "op": "StridedSlice", "input": ["Shape", "strided_slice_4/stack", "strided_slice/stack_1", "strided_slice_4/stack"], "attr": {"shrink_axis_mask": {"i": "0"}, "ellipsis_mask": {"i": "0"}, "begin_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}, "Index": {"type": "DT_INT32"}, "T": {"type": "DT_INT32"}}}, {"name": "ExpandDims", "op": "ExpandDims", "input": ["Cast", "stack/0"], "attr": {"Tdim": {"type": "DT_INT32"}, "T": {"type": "DT_FLOAT"}}}, {"name": "Shape_1", "op": "Shape", "input": ["Cast"], "attr": {"T": {"type": "DT_FLOAT"}, "out_type": {"type": "DT_INT32"}}}, {"name": "strided_slice_8", "op": "StridedSlice", "input": ["strided_slice", "strided_slice_3/stack", "strided_slice_4/stack", "strided_slice_4/stack"], "attr": {"T": {"type": "DT_INT32"}, "Index": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "ellipsis_mask": {"i": "0"}, "begin_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}}}, {"name": "strided_slice_9", "op": "StridedSlice", "input": ["strided_slice", "strided_slice_4/stack", "strided_slice_4/stack_1", "strided_slice_4/stack"], "attr": {"T": {"type": "DT_INT32"}, "Index": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "ellipsis_mask": {"i": "0"}, "begin_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}}}, {"name": "strided_slice_1", "op": "StridedSlice", "input": ["Shape_1", "strided_slice_3/stack", "strided_slice_4/stack", "strided_slice_4/stack"], "attr": {"Index": {"type": "DT_INT32"}, "T": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "ellipsis_mask": {"i": "0"}, "begin_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}}}, {"name": "strided_slice_2", "op": "StridedSlice", "input": ["Shape_1", "strided_slice_4/stack", "strided_slice_4/stack_1", "strided_slice_4/stack"], "attr": {"Index": {"type": "DT_INT32"}, "T": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "begin_mask": {"i": "0"}, "ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}}}, {"name": "SemanticPredictions/size", "op": "Pack", "input": ["SemanticPredictions/size/0", "strided_slice_8", "strided_slice_9"], "attr": {"T": {"type": "DT_INT32"}, "axis": {"i": "0"}, "N": {"i": "3"}}}, {"name": "ToFloat_1/x", "op": "Pack", "input": ["strided_slice_1", "strided_slice_2"], "attr": {"N": {"i": "2"}, "T": {"type": "DT_INT32"}, "axis": {"i": "0"}}}, {"name": "ToFloat_1", "op": "Cast", "input": ["ToFloat_1/x"], "attr": {"Truncate": {"b": false}, "DstT": {"type": "DT_FLOAT"}, "SrcT": {"type": "DT_INT32"}}}, {"name": "ToInt32", "op": "Cast", "input": ["ToFloat_1"], "attr": {"SrcT": {"type": "DT_FLOAT"}, "Truncate": {"b": false}, "DstT": {"type": "DT_INT32"}}}, {"name": "ResizeBilinear", "op": "ResizeBilinear", "input": ["ExpandDims", "ToInt32"], "attr": {"align_corners": {"b": true}, "T": {"type": "DT_FLOAT"}}}, {"name": "Squeeze_1", "op": "Squeeze", "input": ["ResizeBilinear"], "attr": {"squeeze_dims": {"list": {"i": ["0"]}}, "T": {"type": "DT_FLOAT"}}}, {"name": "Shape_2", "op": "Shape", "input": ["Squeeze_1"], "attr": {"T": {"type": "DT_FLOAT"}, "out_type": {"type": "DT_INT32"}}}, {"name": "sub_2", "op": "Sub", "input": ["Squeeze_1", "Reshape"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "strided_slice_3", "op": "StridedSlice", "input": ["Shape_2", "strided_slice_3/stack", "strided_slice_4/stack", "strided_slice_4/stack"], "attr": {"T": {"type": "DT_INT32"}, "Index": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "begin_mask": {"i": "0"}, "ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}}}, {"name": "strided_slice_4", "op": "StridedSlice", "input": ["Shape_2", "strided_slice_4/stack", "strided_slice_4/stack_1", "strided_slice_4/stack"], "attr": {"Index": {"type": "DT_INT32"}, "T": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "ellipsis_mask": {"i": "0"}, "begin_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}}}, {"name": "Shape_3", "op": "Shape", "input": ["sub_2"], "attr": {"T": {"type": "DT_FLOAT"}, "out_type": {"type": "DT_INT32"}}}, {"name": "sub", "op": "Sub", "input": ["sub_1/x", "strided_slice_3"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "sub_1", "op": "Sub", "input": ["sub_1/x", "strided_slice_4"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "strided_slice_5", "op": "StridedSlice", "input": ["Shape_3", "strided_slice_3/stack", "strided_slice_4/stack", "strided_slice_4/stack"], "attr": {"Index": {"type": "DT_INT32"}, "T": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "begin_mask": {"i": "0"}, "ellipsis_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}, "end_mask": {"i": "0"}}}, {"name": "strided_slice_6", "op": "StridedSlice", "input": ["Shape_3", "strided_slice_4/stack", "strided_slice_4/stack_1", "strided_slice_4/stack"], "attr": {"end_mask": {"i": "0"}, "Index": {"type": "DT_INT32"}, "T": {"type": "DT_INT32"}, "shrink_axis_mask": {"i": "1"}, "ellipsis_mask": {"i": "0"}, "begin_mask": {"i": "0"}, "new_axis_mask": {"i": "0"}}}, {"name": "Maximum", "op": "Maximum", "input": ["sub", "stack/0"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "Maximum_1", "op": "Maximum", "input": ["sub_1", "stack/0"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "add", "op": "Add", "input": ["strided_slice_3", "Maximum"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "add_1", "op": "Add", "input": ["strided_slice_4", "Maximum_1"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "sub_6", "op": "Sub", "input": ["add", "strided_slice_5"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "sub_4", "op": "Sub", "input": ["add_1", "strided_slice_6"], "attr": {"T": {"type": "DT_INT32"}}}, {"name": "stack", "op": "Pack", "input": ["stack/0", "sub_6"], "attr": {"T": {"type": "DT_INT32"}, "axis": {"i": "0"}, "N": {"i": "2"}}}, {"name": "stack_1", "op": "Pack", "input": ["stack/0", "sub_4"], "attr": {"T": {"type": "DT_INT32"}, "axis": {"i": "0"}, "N": {"i": "2"}}}, {"name": "stack_3", "op": "Pack", "input": ["stack", "stack_1", "stack_2"], "attr": {"T": {"type": "DT_INT32"}, "axis": {"i": "0"}, "N": {"i": "3"}}}, {"name": "Pad", "op": "Pad", "input": ["sub_2", "stack_3"], "attr": {"T": {"type": "DT_FLOAT"}, "Tpaddings": {"type": "DT_INT32"}}}, {"name": "add_2", "op": "Add", "input": ["Pad", "Reshape"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "ExpandDims_1", "op": "ExpandDims", "input": ["add_2", "stack/0"], "attr": {"T": {"type": "DT_FLOAT"}, "Tdim": {"type": "DT_INT32"}}}, {"name": "mul_1", "op": "Mul", "input": ["mul_1/x", "ExpandDims_1"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "sub_7", "op": "Sub", "input": ["mul_1", "ToFloat/x"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Mul", "op": "Conv2D", "input": ["sub_7", "MobilenetV2/Conv/Conv2D/merged_input"], "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "data_format": {"s": "TkhXQw=="}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "use_cudnn_on_gpu": {"b": true}, "padding": {"s": "U0FNRQ=="}}}, {"name": "MobilenetV2/Conv/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/Conv/Relu6", "op": "Relu6", "input": ["MobilenetV2/Conv/BatchNorm/FusedBatchNorm"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/depthwise/depthwise", "op": "DepthwiseConv2dNative", "input": ["MobilenetV2/Conv/Relu6", "MobilenetV2/expanded_conv/depthwise/depthwise_weights"], "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "padding": {"s": "U0FNRQ=="}, "T": {"type": "DT_FLOAT"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "data_format": {"s": "TkhXQw=="}}}, {"name": "MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Mul", "op": "Mul", "input": ["MobilenetV2/expanded_conv/depthwise/depthwise", "MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Scaled"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/depthwise/Relu6", "op": "Relu6", "input": ["MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Mul", "op": "Conv2D", "input": ["MobilenetV2/expanded_conv/depthwise/Relu6", "MobilenetV2/expanded_conv/project/Conv2D/merged_input"], "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "data_format": {"s": "TkhXQw=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "use_cudnn_on_gpu": {"b": true}, "padding": {"s": "U0FNRQ=="}}}, {"name": "MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Mul", "op": "Conv2D", "input": ["MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm", "MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input"], "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "data_format": {"s": "TkhXQw=="}, "use_cudnn_on_gpu": {"b": true}, "padding": {"s": "U0FNRQ=="}}}, {"name": "MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/expand/Relu6", "op": "Relu6", "input": ["MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/depthwise/depthwise", "op": "DepthwiseConv2dNative", "input": ["MobilenetV2/expanded_conv_1/expand/Relu6", "MobilenetV2/expanded_conv_1/depthwise/depthwise_weights"], "attr": {"padding": {"s": "U0FNRQ=="}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "strides": {"list": {"i": ["1", "2", "2", "1"]}}, "data_format": {"s": "TkhXQw=="}}}, {"name": "MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Mul", "op": "Mul", "input": ["MobilenetV2/expanded_conv_1/depthwise/depthwise", "MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Scaled"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/depthwise/Relu6", "op": "Relu6", "input": ["MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Mul", "op": "Conv2D", "input": ["MobilenetV2/expanded_conv_1/depthwise/Relu6", "MobilenetV2/expanded_conv_1/project/Conv2D/merged_input"], "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "data_format": {"s": "TkhXQw=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "use_cudnn_on_gpu": {"b": true}, "padding": {"s": "U0FNRQ=="}}}, {"name": "MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Mul", "op": "Conv2D", "input": ["MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm", "MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input"], "attr": {"dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "data_format": {"s": "TkhXQw=="}, "use_cudnn_on_gpu": {"b": true}, "padding": {"s": "U0FNRQ=="}}}, {"name": "MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/expand/Relu6", "op": "Relu6", "input": ["MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/depthwise/depthwise", "op": "DepthwiseConv2dNative", "input": ["MobilenetV2/expanded_conv_2/expand/Relu6", "MobilenetV2/expanded_conv_2/depthwise/depthwise_weights"], "attr": {"data_format": {"s": "TkhXQw=="}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "padding": {"s": "U0FNRQ=="}, "T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Mul", "op": "Mul", "input": ["MobilenetV2/expanded_conv_2/depthwise/depthwise", "MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Scaled"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm", "op": "Add", "input": ["MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Mul", "MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Offset"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/depthwise/Relu6", "op": "Relu6", "input": ["MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm"], "attr": {"T": {"type": "DT_FLOAT"}}}, {"name": "MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Mul", "op": "Conv2D", "input": ["MobilenetV2/expanded_conv_2/depthwise/Relu6", "MobilenetV2/expanded_conv_2/project/Conv2D/merged_input"], "attr": {"padding": {"s": "U0FNRQ=="}, "dilations": {"list": {"i": ["1", "1", "1", "1"]}}, "T": {"type": "DT_FLOAT"}, "strides": {"list": {"i": ["1", "1", "1", "1"]}}, "data_format": {"s": "TkhXQw=="}, "use_cudnn_on_gpu": {"b": true}}}, {"name": "MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add", "op": "AddN", "input": ["MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm", "MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Mul"], "attr": {"T": {"type": "DT_FLOAT"}, "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {"b": true}, "N": {"i": "2"}}}, {"name": "MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_add", "op": "Add", "input": ["MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Offset", "MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"], "attr": {"T": {"type": "DT_FLOAT"}, "_grappler:ArithmeticOptimizer:AddOpsRewriteStage": {"b": true}}}, {"name": "MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm/Mul", "op": "Conv2D", "input": ["MobilenetV2/expanded_conv_2/ArithmeticOptimizer