diff --git "a/model.json" "b/model.json"
new file mode 100644--- /dev/null
+++ "b/model.json"
@@ -0,0 +1,4591 @@
+{
+	"modelTopology": {
+		"node": [
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "80" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "80" },
+									{ "size": "480" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "480" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "480" },
+									{ "size": "80" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "80" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "80" },
+									{ "size": "480" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "480" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "480" },
+									{ "size": "80" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "48" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "48" },
+									{ "size": "288" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "288" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "288" },
+									{ "size": "48" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "48" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "48" },
+									{ "size": "288" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "288" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "288" },
+									{ "size": "48" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "32" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "32" },
+									{ "size": "192" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "192" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "192" },
+									{ "size": "32" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "32" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "32" },
+									{ "size": "192" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "192" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "192" },
+									{ "size": "32" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "32" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "32" },
+									{ "size": "192" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "192" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "192" },
+									{ "size": "32" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "16" },
+									{ "size": "96" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "96" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "96" },
+									{ "size": "16" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "16" },
+									{ "size": "96" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "96" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "96" },
+									{ "size": "16" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "16" },
+									{ "size": "96" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "96" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "96" },
+									{ "size": "16" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"shape": {
+						"shape": {
+							"dim": [
+								{ "size": "-1" },
+								{ "size": "224" },
+								{ "size": "224" },
+								{ "size": "3" }
+							]
+						}
+					}
+				},
+				"name": "images",
+				"op": "Placeholder"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": { "tensor": { "dtype": "DT_FLOAT", "tensorShape": {} } }
+				},
+				"name": "module_apply_default/hub_input/Mul/y",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": { "tensor": { "dtype": "DT_FLOAT", "tensorShape": {} } }
+				},
+				"name": "module_apply_default/hub_input/Sub/y",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "16" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/Conv/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "16" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "16" },
+									{ "size": "8" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "8" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "8" },
+									{ "size": "48" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "48" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "48" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "48" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "48" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "48" },
+									{ "size": "16" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "16" },
+									{ "size": "96" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "96" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "96" },
+									{ "size": "16" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "16" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "16" },
+									{ "size": "96" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "96" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "96" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "96" },
+									{ "size": "32" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "32" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "32" },
+									{ "size": "192" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "192" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "192" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "192" },
+									{ "size": "48" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "48" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "48" },
+									{ "size": "288" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "288" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "288" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "288" },
+									{ "size": "80" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "80" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "80" },
+									{ "size": "480" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/expand/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "3" },
+									{ "size": "3" },
+									{ "size": "480" },
+									{ "size": "1" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Scaled",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "480" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "480" },
+									{ "size": "160" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/project/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "160" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "160" },
+									{ "size": "1280" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/Conv_1/Conv2D/merged_input",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "1280" }] }
+						}
+					}
+				},
+				"name": "module_apply_default/MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm/Offset",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": {
+								"dim": [
+									{ "size": "1" },
+									{ "size": "1" },
+									{ "size": "1280" },
+									{ "size": "1001" }
+								]
+							}
+						}
+					}
+				},
+				"name": "module/MobilenetV2/Logits/Conv2d_1c_1x1/weights",
+				"op": "Const"
+			},
+			{
+				"attr": {
+					"dtype": { "type": "DT_FLOAT" },
+					"value": {
+						"tensor": {
+							"dtype": "DT_FLOAT",
+							"tensorShape": { "dim": [{ "size": "1001" }] }
+						}
+					}
+				},
+				"name": "module/MobilenetV2/Logits/Conv2d_1c_1x1/biases",
+				"op": "Const"
+			},
+			{
+				"input": ["images", "module_apply_default/hub_input/Mul/y"],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/hub_input/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/hub_input/Mul",
+					"module_apply_default/hub_input/Sub/y"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/hub_input/Sub",
+				"op": "Sub"
+			},
+			{
+				"input": [
+					"module_apply_default/hub_input/Sub",
+					"module_apply_default/MobilenetV2/Conv/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "2", "2", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/Conv/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Conv/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/Conv/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Conv/Relu6",
+					"module/MobilenetV2/expanded_conv/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm",
+					"module_apply_default/MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" },
+					"strides": { "list": { "i": ["1", "2", "2", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_1/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm",
+					"module_apply_default/MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_2/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_2/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_3/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"strides": { "list": { "i": ["1", "2", "2", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_3/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm",
+					"module_apply_default/MobilenetV2/expanded_conv_4/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_4/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_5/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_5/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_4/ArithmeticOptimizer/AddOpsRewrite_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_5/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_6/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" },
+					"strides": { "list": { "i": ["1", "2", "2", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_6/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm",
+					"module_apply_default/MobilenetV2/expanded_conv_7/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_7/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_8/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_8/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_7/ArithmeticOptimizer/AddOpsRewrite_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_9/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_9/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_8/ArithmeticOptimizer/AddOpsRewrite_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_9/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_10/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_10/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm",
+					"module_apply_default/MobilenetV2/expanded_conv_11/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_11/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_12/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_12/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_11/ArithmeticOptimizer/AddOpsRewrite_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_12/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_13/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"padding": { "s": "U0FNRQ==" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"strides": { "list": { "i": ["1", "2", "2", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_13/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm",
+					"module_apply_default/MobilenetV2/expanded_conv_14/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_14/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_15/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_15/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_14/ArithmeticOptimizer/AddOpsRewrite_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" },
+					"N": { "i": "2" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add",
+				"op": "AddN"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm/Offset",
+					"module_apply_default/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add"
+				],
+				"attr": {
+					"_grappler:ArithmeticOptimizer:AddOpsRewriteStage": { "b": true },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_add",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_15/ArithmeticOptimizer/AddOpsRewrite_add",
+					"module_apply_default/MobilenetV2/expanded_conv_16/expand/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/expand/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/expand/Relu6",
+					"module/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights"
+				],
+				"attr": {
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"padding": { "s": "U0FNRQ==" },
+					"data_format": { "s": "TkhXQw==" },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/depthwise",
+				"op": "DepthwiseConv2dNative"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/depthwise/depthwise",
+					"module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Mul"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/depthwise/Relu6",
+					"module_apply_default/MobilenetV2/expanded_conv_16/project/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm",
+					"module_apply_default/MobilenetV2/Conv_1/Conv2D/merged_input"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm/Mul",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm/Mul",
+					"module_apply_default/MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm/Offset"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm",
+				"op": "Add"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm"
+				],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/Conv_1/Relu6",
+				"op": "Relu6"
+			},
+			{
+				"input": ["module_apply_default/MobilenetV2/Conv_1/Relu6"],
+				"attr": {
+					"padding": { "s": "VkFMSUQ=" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"data_format": { "s": "TkhXQw==" },
+					"ksize": { "list": { "i": ["1", "7", "7", "1"] } },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/Logits/AvgPool",
+				"op": "AvgPool"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Logits/AvgPool",
+					"module/MobilenetV2/Logits/Conv2d_1c_1x1/weights"
+				],
+				"attr": {
+					"data_format": { "s": "TkhXQw==" },
+					"use_cudnn_on_gpu": { "b": true },
+					"padding": { "s": "U0FNRQ==" },
+					"strides": { "list": { "i": ["1", "1", "1", "1"] } },
+					"T": { "type": "DT_FLOAT" },
+					"dilations": { "list": { "i": ["1", "1", "1", "1"] } }
+				},
+				"name": "module_apply_default/MobilenetV2/Logits/Conv2d_1c_1x1/Conv2D",
+				"op": "Conv2D"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Logits/Conv2d_1c_1x1/Conv2D",
+					"module/MobilenetV2/Logits/Conv2d_1c_1x1/biases"
+				],
+				"attr": {
+					"T": { "type": "DT_FLOAT" },
+					"data_format": { "s": "TkhXQw==" }
+				},
+				"name": "module_apply_default/MobilenetV2/Logits/Conv2d_1c_1x1/BiasAdd",
+				"op": "BiasAdd"
+			},
+			{
+				"input": [
+					"module_apply_default/MobilenetV2/Logits/Conv2d_1c_1x1/BiasAdd"
+				],
+				"attr": {
+					"squeeze_dims": { "list": { "i": ["1", "2"] } },
+					"T": { "type": "DT_FLOAT" }
+				},
+				"name": "module_apply_default/MobilenetV2/Logits/Squeeze",
+				"op": "Squeeze"
+			},
+			{
+				"input": ["module_apply_default/MobilenetV2/Logits/Squeeze"],
+				"attr": { "T": { "type": "DT_FLOAT" } },
+				"name": "module_apply_default/MobilenetV2/Logits/output",
+				"op": "Identity"
+			}
+		],
+		"library": {},
+		"versions": {}
+	},
+	"weightsManifest": [
+		{
+			"paths": ["group1-shard1of2", "group1-shard2of2"],
+			"weights": [
+				{
+					"dtype": "float32",
+					"shape": [80],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 80, 480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_15/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 480, 1],
+					"name": "module/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 480, 80],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_15/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [80],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 80, 480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_14/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 480, 1],
+					"name": "module/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 480, 80],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_14/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 48, 288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_12/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 288, 1],
+					"name": "module/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 288, 48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_12/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 48, 288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_11/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 288, 1],
+					"name": "module/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 288, 48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_11/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 32, 192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_9/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 192, 1],
+					"name": "module/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 192, 32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_9/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 32, 192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_8/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 192, 1],
+					"name": "module/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 192, 32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_8/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 32, 192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_7/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 192, 1],
+					"name": "module/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 192, 32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_7/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 16, 96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_5/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 96, 1],
+					"name": "module/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 96, 16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_5/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 16, 96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_4/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 96, 1],
+					"name": "module/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 96, 16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_4/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 16, 96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_2/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 96, 1],
+					"name": "module/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 96, 16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_2/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [],
+					"name": "module_apply_default/hub_input/Mul/y"
+				},
+				{
+					"dtype": "float32",
+					"shape": [],
+					"name": "module_apply_default/hub_input/Sub/y"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 3, 16],
+					"name": "module_apply_default/MobilenetV2/Conv/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/Conv/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 16, 1],
+					"name": "module/MobilenetV2/expanded_conv/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 16, 8],
+					"name": "module_apply_default/MobilenetV2/expanded_conv/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [8],
+					"name": "module_apply_default/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 8, 48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_1/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 48, 1],
+					"name": "module/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 48, 16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_1/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 16, 96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_3/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 96, 1],
+					"name": "module/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 96, 16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_3/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [16],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 16, 96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_6/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 96, 1],
+					"name": "module/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [96],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 96, 32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_6/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [32],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 32, 192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_10/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 192, 1],
+					"name": "module/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [192],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 192, 48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_10/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [48],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 48, 288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_13/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 288, 1],
+					"name": "module/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [288],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 288, 80],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_13/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [80],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 80, 480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_16/expand/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [3, 3, 480, 1],
+					"name": "module/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Scaled"
+				},
+				{
+					"dtype": "float32",
+					"shape": [480],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 480, 160],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_16/project/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [160],
+					"name": "module_apply_default/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 160, 1280],
+					"name": "module_apply_default/MobilenetV2/Conv_1/Conv2D/merged_input"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1280],
+					"name": "module_apply_default/MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm/Offset"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1, 1, 1280, 1001],
+					"name": "module/MobilenetV2/Logits/Conv2d_1c_1x1/weights"
+				},
+				{
+					"dtype": "float32",
+					"shape": [1001],
+					"name": "module/MobilenetV2/Logits/Conv2d_1c_1x1/biases"
+				}
+			]
+		}
+	]
+}