-
Notifications
You must be signed in to change notification settings - Fork 2
Expand file tree
/
Copy pathModel_Implementation.arc
More file actions
1 lines (1 loc) · 31.5 KB
/
Model_Implementation.arc
File metadata and controls
1 lines (1 loc) · 31.5 KB
1
{"mxGraphModel": {"root": {"mxCell": [{"_id": "0"}, {"Object": {"Object": {"_gpu_id": "0", "_memory_size": "8.0", "_number_of_cpus": "2.0", "_as": "hw_resources"}, "_as": "options"}, "_id": "1", "_parent": "0", "_regions": [{"id": "auto", "name": "app.yonohub.com", "selected": true}], "_hw_resources": {"recommended": {"cpu": 0, "gpu": 0, "memory": 0}, "total": {"cpu": 0, "gpu": 0, "memory": 0}}, "_pipeline_region": "{\"dep_reg_id\":\"auto\",\"node_id\":\"\",\"burstability\":true,\"selectedResource\":\"\",\"resources_ids\":[],\"resourcesObj\":[],\"usage_factor\":0.1,\"count\":\"1\",\"isBurstableConfigurable\":false,\"spinner\":\"sent\",\"instanceType\":\"C\",\"instanceCount\":20,\"dep_reg_resources\":null,\"isCustomerSite\":false}"}, {"mxGeometry": {"_relative": "1", "_as": "geometry"}, "_id": "46", "_style": "edgeStyle=elbowEdgeStyle;rounded=0;jumpStyle=arc;html=1;endArrow=blockThin;jettySize=auto;orthogonalLoop=1;strokeColor=#838383;strokeWidth=3;", "_edge": "1", "_parent": "1", "_source": "10", "_target": "21", "_tooltip": "<table style='color:black;'><tr><td><strong>Message Rate:</strong></td><td>36 Messages per second</td></tr><tr><td><strong>Traffic:</strong></td><td>28.69632 Mbps</td></tr><tr><td><strong>Last Updated:</strong></td><td>1 Seconds ago</td></tr><tr><td><strong>Window Size:</strong></td><td>1 Seconds</td></tr><tr><td colspan='2'><strong style='color: red;'></strong></td></tr></table>"}, {"mxGeometry": {"_relative": "1", "_as": "geometry"}, "_id": "47", "_style": "edgeStyle=elbowEdgeStyle;rounded=0;jumpStyle=arc;html=1;endArrow=blockThin;jettySize=auto;orthogonalLoop=1;strokeColor=#838383;strokeWidth=3;", "_edge": "1", "_parent": "1", "_source": "11", "_target": "22", "_tooltip": "<table style='color:black;'><tr><td><strong>Message Rate:</strong></td><td>36 Messages per second</td></tr><tr><td><strong>Traffic:</strong></td><td>0.311024 Mbps</td></tr><tr><td><strong>Last Updated:</strong></td><td>1 Seconds ago</td></tr><tr><td><strong>Window Size:</strong></td><td>1 Seconds</td></tr><tr><td colspan='2'><strong style='color: red;'></strong></td></tr></table>"}, {"mxGeometry": {"_x": "370", "_y": "645", "_width": "222", "_height": "172", "_as": "geometry"}, "Object": {"Object": {"_gpu_id": "1", "_memory_size": "6.1", "_number_of_cpus": "0.6", "_as": "hw_resources"}, "_batch_size": "1", "_dataset": "7", "_frame_rate": "50", "_loop": "true", "_play": "''", "_shuffle": "true", "_split": "train", "_number_of_instances": "1", "_region": "{\"dep_reg_id\":\"auto\",\"node_id\":\"\",\"burstability\":true,\"selectedResource\":\"\",\"resources_ids\":[],\"resourcesObj\":[],\"usage_factor\":0.1,\"count\":\"1\",\"isBurstableConfigurable\":false,\"spinner\":\"sent\",\"instanceType\":\"GK\",\"instanceCount\":1,\"dep_reg_resources\":{},\"isCustomerSite\":false}", "_execution_mode": "async", "_is_synced": "1", "_synced_values": "{\"batch_size\":\"batch_size\"}", "_as": "options"}, "_id": "2", "_value": "", "_style": "top;fillColor=#fff;strokeColor=#18e7bb;rotatable=0;resizable=0;", "_vertex": "1", "_connectable": "0", "_blockID": "5edd0c990a32a55d4a63eab1", "_originalBlockID": "5ed4c7576b86ba39478836a4", "_tooltip": "The block is used to stream all the datasets available under the Image Classification category offered by Tensorflow Datasets package in a batch mode to be used in training/ testing of models.", "_block": "1", "_yonoarc_block": "1", "_parent": "1", "_suggested": "1"}, {"mxGeometry": {"_x": "10", "_y": "15", "_width": "200", "_height": "55", "_as": "geometry"}, "_id": "3", "_value": "Image Classifica..", "_style": "top;strokeColor=none;verticalLabelPosition=bottom;labelBackgroundColor=;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;verticalAlign=top;image=https://app.yonohub.com/editor/block-icon/ff3d205fa5c8426db4d6890206da222e.svg;shape=image;", "_vertex": "1", "_tooltip": "Image Classification Batch Player: The block is used to stream all the datasets available under the Image Classification category offered by Tensorflow Datasets package in a batch mode to be used in training/ testing of models.", "_connectable": "0", "_parent": "2"}, {"mxGeometry": {"_y": "137", "_width": "222", "_height": "34", "_as": "geometry"}, "_id": "4", "_value": "", "_style": "shape=stencil(rVNNE4IgFPw13AkudWysTv2Jp2Iyohio2b8PQZvBr2xqhsvuvn1vGR6IBjqFkiGCC8gZoidESMOU5rK4QsiEgUYDXbKo6lVQHELBnJI6coexww8P0zPCR8N2hwYhRNlNybqIPWGQS6jSGWGQc9l0MVs3oB/3dIhSCy8rdsGLRTv+0v2+7Z/8G+Lfa4i7BrtxhzHREkccSF9A/ILtKfdexi3+UchPEbGf8MdH3GCPhNRsvoQGhp9soGUX1pYGiVRsZZ8TLoSulMwmI23biduy7jda4gU=);whiteSpace=wrap;html=1;strokeColor=#18e7bb;fontSize=10;fillColor=#18e7bb;fontColor=white;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_tooltip": "Running", "_status": "stopped", "_type": "version", "_parent": "2"}, {"mxGeometry": {"_x": "30", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "5", "_value": "<span class=\"icon-gpu\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;fontColor=#FFF;", "_vertex": "1", "_connectable": "0", "_parent": "4"}, {"mxGeometry": {"_x": "70", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "6", "_value": "<span class=\"icon-training\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "4"}, {"mxGeometry": {"_x": "110", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "7", "_value": "<span class=\"icon-error\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#FFF;movable=0;resizable=1;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "4"}, {"mxGeometry": {"_x": "150", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "8", "_value": "<span class=\"icon-duplication\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "4"}, {"mxGeometry": {"_x": "20", "_y": "110", "_width": "180", "_height": "20", "_as": "geometry"}, "_id": "9", "_value": "Yonohub Team", "_style": "logo;fontSize=12;strokeColor=#70707030;strokeWidth=2;arcSize=15;rounded=1;fillColor=none;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "2"}, {"mxGeometry": {"_x": "0.985", "_y": "0.27", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "10", "_value": "<op></op>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "image_batches", "_key": "image_batches", "_tooltip": "Image Batch (perception_msgs/ImageBatch)\nA batch of images of the selected dataset", "_message_tag": "perception_msgs/ImageBatch", "_ifFastRtps": "1", "_parent": "2"}, {"mxGeometry": {"_x": "0.985", "_y": "0.5700000000000001", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "11", "_value": "<op></op>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "labels", "_key": "labels", "_tooltip": "Labels (perception_msgs/LabelArray)\nAn array of labels corresponds to the batch of images.", "_message_tag": "perception_msgs/LabelArray", "_ifFastRtps": "1", "_parent": "2"}, {"mxGeometry": {"_x": "10", "_y": "-40", "_width": "200", "_height": "50", "_as": "geometry"}, "_id": "12", "_value": "", "_style": "html=1;wrap=1;whiteSpace=wrap;strokeColor=none;fontSize=14;labelBackgroundColor=transparent;align=center;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_cell_type": "region_name", "_parent": "2"}, {"mxGeometry": {"_relative": "1", "_as": "geometry"}, "_id": "48", "_style": "edgeStyle=elbowEdgeStyle;rounded=0;jumpStyle=arc;html=1;endArrow=blockThin;jettySize=auto;orthogonalLoop=1;strokeColor=#838383;strokeWidth=3;", "_edge": "1", "_parent": "1", "_source": "23", "_target": "34", "_tooltip": ""}, {"mxGeometry": {"_relative": "1", "_as": "geometry"}, "_id": "49", "_style": "edgeStyle=elbowEdgeStyle;rounded=0;jumpStyle=arc;html=1;endArrow=blockThin;jettySize=auto;orthogonalLoop=1;strokeColor=#838383;strokeWidth=3;", "_edge": "1", "_parent": "1", "_source": "24", "_target": "44", "_tooltip": "<table style='color:black;'><tr><td><strong>Message Rate:</strong></td><td>Infinity Messages per second</td></tr><tr><td><strong>Traffic:</strong></td><td>Infinity Mbps</td></tr><tr><td><strong>Last Updated:</strong></td><td>22 Seconds ago</td></tr><tr><td><strong>Window Size:</strong></td><td>0 Seconds</td></tr><tr><td colspan='2'><strong style='color: red;'></strong></td></tr></table>"}, {"mxGeometry": {"_x": "888", "_y": "645", "_width": "222", "_height": "172", "_as": "geometry"}, "Object": {"Object": {"_gpu_id": "1", "_memory_size": "6.1", "_number_of_cpus": "0.6", "_as": "hw_resources"}, "_batch_size": "1", "_dataset_size": "50000", "_epochs": "10", "_lr": "0.001", "_model_name": "my_model", "_model_path": "/MyDrive/Tensorflow_Series/Part_2", "_momentum": "0.9", "_password": "password", "_username": "username", "_number_of_instances": "1", "_region": "{\"dep_reg_id\":\"auto\",\"node_id\":\"\",\"burstability\":true,\"selectedResource\":\"\",\"resources_ids\":[],\"resourcesObj\":[],\"usage_factor\":0.1,\"count\":\"1\",\"isBurstableConfigurable\":false,\"spinner\":\"sent\",\"instanceType\":\"GK\",\"instanceCount\":1,\"dep_reg_resources\":{},\"isCustomerSite\":false}", "_execution_mode": "sync", "_execution_mode_interval": "1", "_is_synced": "1", "_synced_values": "{\"batch_size\":\"batch_size\"}", "_as": "options"}, "_id": "13", "_value": "", "_style": "top;fillColor=#fff;strokeColor=#18e7bb;rotatable=0;resizable=0;", "_vertex": "1", "_connectable": "0", "_blockID": "5edd0c400a32a55d4a63eab0", "_originalBlockID": "5ed4d89baf24d6d1f24770dc", "_tooltip": "A CNN classifier model as a block to be trained on the CIFAR dataset.", "_block": "1", "_yonoarc_block": "1", "_parent": "1", "_suggested": "1"}, {"mxGeometry": {"_x": "10", "_y": "15", "_width": "200", "_height": "20", "_as": "geometry"}, "_id": "14", "_value": "CIFAR CNN", "_style": "top;strokeColor=none;verticalLabelPosition=bottom;labelBackgroundColor=;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;verticalAlign=center;", "_vertex": "1", "_tooltip": "CIFAR CNN: A CNN classifier model as a block to be trained on the CIFAR dataset.", "_connectable": "0", "_parent": "13"}, {"mxGeometry": {"_y": "137", "_width": "222", "_height": "34", "_as": "geometry"}, "_id": "15", "_value": "", "_style": "shape=stencil(rVNNE4IgFPw13AkudWysTv2Jp2Iyohio2b8PQZvBr2xqhsvuvn1vGR6IBjqFkiGCC8gZoidESMOU5rK4QsiEgUYDXbKo6lVQHELBnJI6coexww8P0zPCR8N2hwYhRNlNybqIPWGQS6jSGWGQc9l0MVs3oB/3dIhSCy8rdsGLRTv+0v2+7Z/8G+Lfa4i7BrtxhzHREkccSF9A/ILtKfdexi3+UchPEbGf8MdH3GCPhNRsvoQGhp9soGUX1pYGiVRsZZ8TLoSulMwmI23biduy7jda4gU=);whiteSpace=wrap;html=1;strokeColor=#18e7bb;fontSize=10;fillColor=#18e7bb;fontColor=white;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_tooltip": "Running", "_status": "stopped", "_type": "version", "_parent": "13"}, {"mxGeometry": {"_x": "30", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "16", "_value": "<span class=\"icon-gpu\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;fontColor=#FFF;", "_vertex": "1", "_connectable": "0", "_parent": "15"}, {"mxGeometry": {"_x": "70", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "17", "_value": "<span class=\"icon-training\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "15"}, {"mxGeometry": {"_x": "110", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "18", "_value": "<span class=\"icon-error\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#FFF;movable=0;resizable=1;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "15"}, {"mxGeometry": {"_x": "150", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "19", "_value": "<span class=\"icon-duplication\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "15"}, {"mxGeometry": {"_x": "20", "_y": "110", "_width": "180", "_height": "20", "_as": "geometry"}, "_id": "20", "_value": "Yonohub Team", "_style": "logo;fontSize=12;strokeColor=#70707030;strokeWidth=2;arcSize=15;rounded=1;fillColor=none;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "13"}, {"mxGeometry": {"_x": "-0.015", "_y": "0.27", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "21", "_value": "<ip></ip>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "input_batch", "_key": "input_batch", "_tooltip": "Image Batch (perception_msgs/ImageBatch)\nThe batch of images streamed from a player with a size equals to the batch size property.", "_message_tag": "perception_msgs/ImageBatch", "_ifFastRtps": "1", "_parent": "13"}, {"mxGeometry": {"_x": "-0.015", "_y": "0.5700000000000001", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "22", "_value": "<ip></ip>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "labels", "_key": "labels", "_tooltip": "Labels (perception_msgs/LabelArray)\nAn array of labels streamed from a player with a size equals to the batch size property.", "_message_tag": "perception_msgs/LabelArray", "_ifFastRtps": "1", "_parent": "13"}, {"mxGeometry": {"_x": "0.985", "_y": "0.27", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "23", "_value": "<op></op>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "loss", "_key": "loss", "_tooltip": "Loss (yonoarc_msgs/Float64)\nThe loss value of the training each epoch", "_message_tag": "yonoarc_msgs/Float64", "_ifFastRtps": "1", "_parent": "13"}, {"mxGeometry": {"_x": "0.985", "_y": "0.5700000000000001", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "24", "_value": "<op></op>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "accuracy", "_key": "accuracy", "_tooltip": "Accuracy (yonoarc_msgs/Float64)\nThe accuracy percentage of the training each epoch", "_message_tag": "yonoarc_msgs/Float64", "_ifFastRtps": "1", "_parent": "13"}, {"mxGeometry": {"_x": "10", "_y": "-40", "_width": "200", "_height": "50", "_as": "geometry"}, "_id": "25", "_value": "", "_style": "html=1;wrap=1;whiteSpace=wrap;strokeColor=none;fontSize=14;labelBackgroundColor=transparent;align=center;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_cell_type": "region_name", "_parent": "13"}, {"mxGeometry": {"_x": "1332", "_y": "473", "_width": "222", "_height": "172", "_as": "geometry"}, "Object": {"Object": {"_number_of_cpus": "0.1", "_memory_size": "0.4", "_gpu_id": "0", "_as": "hw_resources"}, "_title": "Loss", "_x_axis_data": "header.seq", "_x_axis_name": "Epochs", "_y_axis_data": "data", "_y_axis_name": "Loss", "_number_of_instances": "1", "_region": "{\"dep_reg_id\":\"auto\",\"node_id\":null,\"burstability\":true,\"selectedResource\":\"\",\"resources_ids\":[],\"resourcesObj\":[],\"usage_factor\":0.1,\"count\":1,\"isBurstableConfigurable\":false,\"spinner\":null,\"instanceType\":\"C\",\"instanceCount\":1,\"dep_reg_resources\":null}", "_execution_mode": "async", "_as": "options"}, "_id": "26", "_value": "", "_style": "top;fillColor=#fff;strokeColor=#18e7bb;rotatable=0;resizable=0;", "_vertex": "1", "_connectable": "0", "_blockID": "5c74cd0c5f486a0017fd35e6", "_originalBlockID": "5b695d916ae5d70020fbfe35", "_tooltip": "This block visualizes a line chart on the dashboard using configurable fields in the incoming messages.", "_block": "1", "_yonoarc_block": "1", "_parent": "1"}, {"mxGeometry": {"_x": "10", "_y": "15", "_width": "200", "_height": "55", "_as": "geometry"}, "_id": "27", "_value": "Line Chart Viewer", "_style": "top;strokeColor=none;verticalLabelPosition=bottom;labelBackgroundColor=;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;verticalAlign=top;image=https://app.yonohub.com/editor/block-icon/10eefc671cf34a7782b65e3cbbc0ead1.svg;shape=image;", "_vertex": "1", "_tooltip": "Line Chart Viewer: This block visualizes a line chart on the dashboard using configurable fields in the incoming messages.", "_connectable": "0", "_parent": "26"}, {"mxGeometry": {"_y": "137", "_width": "222", "_height": "34", "_as": "geometry"}, "_id": "28", "_value": "", "_style": "shape=stencil(rVNNE4IgFPw13AkudWysTv2Jp2Iyohio2b8PQZvBr2xqhsvuvn1vGR6IBjqFkiGCC8gZoidESMOU5rK4QsiEgUYDXbKo6lVQHELBnJI6coexww8P0zPCR8N2hwYhRNlNybqIPWGQS6jSGWGQc9l0MVs3oB/3dIhSCy8rdsGLRTv+0v2+7Z/8G+Lfa4i7BrtxhzHREkccSF9A/ILtKfdexi3+UchPEbGf8MdH3GCPhNRsvoQGhp9soGUX1pYGiVRsZZ8TLoSulMwmI23biduy7jda4gU=);whiteSpace=wrap;html=1;strokeColor=#18e7bb;fontSize=10;fillColor=#18e7bb;fontColor=white;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_tooltip": "Running", "_status": "stopped", "_type": "version", "_parent": "26"}, {"mxGeometry": {"_x": "30", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "29", "_value": "<span class=\"icon-gpu\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;fontColor=#777;", "_vertex": "1", "_connectable": "0", "_parent": "28"}, {"mxGeometry": {"_x": "70", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "30", "_value": "<span class=\"icon-training\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "28"}, {"mxGeometry": {"_x": "110", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "31", "_value": "<span class=\"icon-error\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=0;resizable=1;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "28"}, {"mxGeometry": {"_x": "150", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "32", "_value": "<span class=\"icon-duplication\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "28"}, {"mxGeometry": {"_x": "20", "_y": "110", "_width": "180", "_height": "20", "_as": "geometry"}, "_id": "33", "_value": "Yonohub Team", "_style": "logo;fontSize=12;strokeColor=#70707030;strokeWidth=2;arcSize=15;rounded=1;fillColor=none;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "26"}, {"mxGeometry": {"_x": "-0.015", "_y": "0.42000000000000004", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "34", "_value": "<ip></ip>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "data", "_key": "data", "_tooltip": "Data (Any Message)\nThe data to be plotted", "_message_tag": "Any Message", "_parent": "26"}, {"mxGeometry": {"_x": "10", "_y": "-40", "_width": "200", "_height": "50", "_as": "geometry"}, "_id": "35", "_value": "", "_style": "html=1;wrap=1;whiteSpace=wrap;strokeColor=none;fontSize=14;labelBackgroundColor=transparent;align=center;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_cell_type": "region_name", "_parent": "26"}, {"mxGeometry": {"_x": "1332", "_y": "860", "_width": "222", "_height": "172", "_as": "geometry"}, "Object": {"Object": {"_number_of_cpus": "0.1", "_memory_size": "0.4", "_gpu_id": "0", "_as": "hw_resources"}, "_title": "Accuracy", "_x_axis_data": "header.seq", "_x_axis_name": "Epochs", "_y_axis_data": "data", "_y_axis_name": "Accuracy", "_number_of_instances": "1", "_region": "{\"dep_reg_id\":\"auto\",\"node_id\":null,\"burstability\":true,\"selectedResource\":\"\",\"resources_ids\":[],\"resourcesObj\":[],\"usage_factor\":0.1,\"count\":1,\"isBurstableConfigurable\":false,\"spinner\":null,\"instanceType\":\"C\",\"instanceCount\":1,\"dep_reg_resources\":null}", "_execution_mode": "async", "_as": "options"}, "_id": "36", "_value": "", "_style": "top;fillColor=#fff;strokeColor=#18e7bb;rotatable=0;resizable=0;", "_vertex": "1", "_connectable": "0", "_blockID": "5c74cd0c5f486a0017fd35e6", "_originalBlockID": "5b695d916ae5d70020fbfe35", "_tooltip": "This block visualizes a line chart on the dashboard using configurable fields in the incoming messages.", "_block": "1", "_yonoarc_block": "1", "_parent": "1"}, {"mxGeometry": {"_x": "10", "_y": "15", "_width": "200", "_height": "55", "_as": "geometry"}, "_id": "37", "_value": "Line Chart Viewer", "_style": "top;strokeColor=none;verticalLabelPosition=bottom;labelBackgroundColor=;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;verticalAlign=top;image=https://app.yonohub.com/editor/block-icon/10eefc671cf34a7782b65e3cbbc0ead1.svg;shape=image;", "_vertex": "1", "_tooltip": "Line Chart Viewer: This block visualizes a line chart on the dashboard using configurable fields in the incoming messages.", "_connectable": "0", "_parent": "36"}, {"mxGeometry": {"_y": "137", "_width": "222", "_height": "34", "_as": "geometry"}, "_id": "38", "_value": "", "_style": "shape=stencil(rVNNE4IgFPw13AkudWysTv2Jp2Iyohio2b8PQZvBr2xqhsvuvn1vGR6IBjqFkiGCC8gZoidESMOU5rK4QsiEgUYDXbKo6lVQHELBnJI6coexww8P0zPCR8N2hwYhRNlNybqIPWGQS6jSGWGQc9l0MVs3oB/3dIhSCy8rdsGLRTv+0v2+7Z/8G+Lfa4i7BrtxhzHREkccSF9A/ILtKfdexi3+UchPEbGf8MdH3GCPhNRsvoQGhp9soGUX1pYGiVRsZZ8TLoSulMwmI23biduy7jda4gU=);whiteSpace=wrap;html=1;strokeColor=#18e7bb;fontSize=10;fillColor=#18e7bb;fontColor=white;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_tooltip": "Running", "_status": "stopped", "_type": "version", "_parent": "36"}, {"mxGeometry": {"_x": "30", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "39", "_value": "<span class=\"icon-gpu\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;fontColor=#777;", "_vertex": "1", "_connectable": "0", "_parent": "38"}, {"mxGeometry": {"_x": "70", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "40", "_value": "<span class=\"icon-training\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "38"}, {"mxGeometry": {"_x": "110", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "41", "_value": "<span class=\"icon-error\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=0;resizable=1;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "38"}, {"mxGeometry": {"_x": "150", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "42", "_value": "<span class=\"icon-duplication\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "38"}, {"mxGeometry": {"_x": "20", "_y": "110", "_width": "180", "_height": "20", "_as": "geometry"}, "_id": "43", "_value": "Yonohub Team", "_style": "logo;fontSize=12;strokeColor=#70707030;strokeWidth=2;arcSize=15;rounded=1;fillColor=none;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "36"}, {"mxGeometry": {"_x": "-0.015", "_y": "0.42000000000000004", "_width": "6", "_height": "6", "_relative": "1", "_as": "geometry"}, "_id": "44", "_value": "<ip></ip>", "_style": "rounded=1;arcSize=50;html=1;movable=0;resizable=0;rotatable=0;deletable=0;editable=0;selectable=0;strokeColor=#2d2a53;", "_vertex": "1", "_slug": "data", "_key": "data", "_tooltip": "Data (Any Message)\nThe data to be plotted", "_message_tag": "Any Message", "_parent": "36"}, {"mxGeometry": {"_x": "10", "_y": "-40", "_width": "200", "_height": "50", "_as": "geometry"}, "_id": "45", "_value": "", "_style": "html=1;wrap=1;whiteSpace=wrap;strokeColor=none;fontSize=14;labelBackgroundColor=transparent;align=center;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_cell_type": "region_name", "_parent": "36"}, {"mxGeometry": {"_x": "888", "_y": "860", "_width": "222", "_height": "172", "_as": "geometry"}, "Object": {"Object": {"_number_of_cpus": "0.1", "_memory_size": "0.4", "_gpu_id": "0", "_as": "hw_resources"}, "_model_path": "", "_number_of_instances": "1", "_region": "{\"dep_reg_id\":\"auto\",\"node_id\":null,\"burstability\":true,\"selectedResource\":\"\",\"resources_ids\":[],\"resourcesObj\":[],\"usage_factor\":0.1,\"count\":1,\"isBurstableConfigurable\":false,\"spinner\":null,\"instanceType\":\"C\",\"instanceCount\":1,\"dep_reg_resources\":null}", "_execution_mode": "async", "_as": "options"}, "_id": "50", "_value": "", "_style": "top;fillColor=#fff;strokeColor=#929292;rotatable=0;resizable=0;", "_vertex": "1", "_connectable": "0", "_blockID": "5ed4ffd91e21757fe74ef73e", "_originalBlockID": "5ed4ffd91e21757fe74ef73e", "_tooltip": "The block is used to open Netron to visualize an artificial neural network.", "_block": "1", "_yonoarc_block": "1", "_parent": "1"}, {"mxGeometry": {"_x": "10", "_y": "15", "_width": "200", "_height": "55", "_as": "geometry"}, "_id": "51", "_value": "Netron", "_style": "top;strokeColor=none;verticalLabelPosition=bottom;labelBackgroundColor=;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;verticalAlign=top;image=https://app.yonohub.com/editor/block-icon/608f8757b92944fabfc7b7f2d7253b27.svg;shape=image;", "_vertex": "1", "_tooltip": "Netron: The block is used to open Netron to visualize an artificial neural network.", "_connectable": "0", "_parent": "50"}, {"mxGeometry": {"_y": "137", "_width": "222", "_height": "34", "_as": "geometry"}, "_id": "52", "_value": "", "_style": "shape=stencil(rVNNE4IgFPw13AkudWysTv2Jp2Iyohio2b8PQZvBr2xqhsvuvn1vGR6IBjqFkiGCC8gZoidESMOU5rK4QsiEgUYDXbKo6lVQHELBnJI6coexww8P0zPCR8N2hwYhRNlNybqIPWGQS6jSGWGQc9l0MVs3oB/3dIhSCy8rdsGLRTv+0v2+7Z/8G+Lfa4i7BrtxhzHREkccSF9A/ILtKfdexi3+UchPEbGf8MdH3GCPhNRsvoQGhp9soGUX1pYGiVRsZZ8TLoSulMwmI23biduy7jda4gU=);whiteSpace=wrap;html=1;strokeColor=#929292;fontSize=10;fillColor=#929292;fontColor=white;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_tooltip": "", "_status": "stopped", "_type": "version", "_parent": "50"}, {"mxGeometry": {"_x": "30", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "53", "_value": "<span class=\"icon-gpu\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;fontColor=#777;", "_vertex": "1", "_connectable": "0", "_parent": "52"}, {"mxGeometry": {"_x": "70", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "54", "_value": "<span class=\"icon-training\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "52"}, {"mxGeometry": {"_x": "110", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "55", "_value": "<span class=\"icon-error\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=0;resizable=1;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "52"}, {"mxGeometry": {"_x": "150", "_width": "40", "_height": "34", "_as": "geometry"}, "_id": "56", "_value": "<span class=\"icon-duplication\"></span>", "_style": "html=1;strokeColor=none;fontSize=16;fillColor=transparent;fontColor=#777;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "52"}, {"mxGeometry": {"_x": "20", "_y": "110", "_width": "180", "_height": "20", "_as": "geometry"}, "_id": "57", "_value": "Yonohub Team", "_style": "logo;fontSize=12;strokeColor=#70707030;strokeWidth=2;arcSize=15;rounded=1;fillColor=none;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_parent": "50"}, {"mxGeometry": {"_x": "10", "_y": "-40", "_width": "200", "_height": "50", "_as": "geometry"}, "_id": "58", "_value": "", "_style": "html=1;wrap=1;whiteSpace=wrap;strokeColor=none;fontSize=14;labelBackgroundColor=transparent;align=center;fillColor=transparent;movable=1;resizable=0;rotatable=0;deletable=0;editable=0;connectable=0;selectable=1;locked=0;", "_vertex": "1", "_connectable": "0", "_cell_type": "region_name", "_parent": "50"}]}, "_dx": "1776", "_dy": "883", "_grid": "1", "_gridSize": "1", "_guides": "1", "_tooltips": "1", "_connect": "0", "_arrows": "1", "_fold": "1", "_page": "1", "_pageScale": "1", "_pageWidth": "1776", "_pageHeight": "1032", "_total_number_cpus": "1", "_current_number_cpus": "0", "_total_number_gpus": "1", "_current_number_gpus": "0", "_total_memory_size": "1", "_current_memory_size": "0", "_version": "5", "_background": "#FCFAFA", "_defaultParent": "1", "_scale": 0.75, "_xPos": 1372, "_yPos": 882}, "customBlocks": {}, "pipelineParameters": {"batch_size": {"type": "number", "name": "Batch Size", "deletable": true, "live_mode": false, "description": "", "nodes": ["b2", "b13"], "order": 0, "min": "1", "max": "", "value": "32"}}}