diff --git a/src/caffe2-metadata.json b/src/caffe2-metadata.json
index 4f5b1f5171..fee7f899a0 100644
--- a/src/caffe2-metadata.json
+++ b/src/caffe2-metadata.json
@@ -951,5 +951,30 @@
       ],
       "support_level": "default"
     }
+  },
+  {
+    "name": "ONNXWhile",
+    "schema": {
+      "attributes": [
+      ],
+      "inputs": [
+        {
+          "name": "max_trip_count"
+        },
+        {
+          "name": "condition"
+        },
+        {
+          "name": "initial",
+          "option": "variadic"
+        }
+      ],
+      "outputs": [
+        {
+          "name": "final_and_scan_outputs",
+          "option": "variadic"
+        }
+      ]
+    }
   }
 ]
diff --git a/src/caffe2-model.js b/src/caffe2-model.js
index 12bb6ab6ac..c233a19953 100644
--- a/src/caffe2-model.js
+++ b/src/caffe2-model.js
@@ -105,9 +105,36 @@ class Caffe2Graph {
         });
         if (init) {
             init.op.forEach((op) => {
-                if (op.type == 'GivenTensorFill' && op.output && op.output.length == 1) {
+                if (op.output && op.output.length == 1) {
                     var name = op.output[0];
-                    initializers[name] = op;
+                    var dataType = null;
+                    switch (op.type) {
+                        case 'GivenTensorFill':
+                            dataType = 'float32';
+                            break;
+                        case 'GivenTensorBoolFill':
+                            dataType = 'boolean';
+                            break;
+                        case 'GivenTensorByteStringToUInt8Fill':
+                            dataType = 'uint8';
+                            break;
+                        case 'GivenTensorIntFill':
+                            dataType = 'int32';
+                            break;
+                        case 'GivenTensorInt64Fill':
+                            dataType = 'int64';
+                            break;
+                        case 'GivenTensorStringFill':
+                            dataType = 'string';
+                            break;
+                        default:
+                            debugger;
+                            break;
+                    }
+                    if (dataType) {
+                        op.dataType = dataType;
+                        initializers[name] = op;
+                    }    
                 }
             });
         }
@@ -298,7 +325,10 @@ class Caffe2Attribute {
             this._value = arg.ints;
         }
         else if (arg.nets && arg.nets.length > 0) {
-            this._value = () => '...';
+            this._value = () => '{ NefDef[] }';
+        }
+        else if (arg.n) {
+            this._value = () => '{ NefDef }';
         }
         else if (arg.i != 0) {
             this._value = arg.i;
@@ -345,18 +375,14 @@ class Caffe2Tensor {
                 args[arg.name] = arg;
             });
         }
+        var shape = null;
         if (args.shape && args.shape.ints) {
-            this._shape = args.shape.ints;
+            shape = args.shape.ints;
         }
         if (args.values) {
             this._values = args.values;
-            if (this._values.floats || this._values.floats == -1) {
-                this._dataType = 'float32';
-            }
-            else {
-                debugger;
-            }
         }
+        this._type = new Caffe2TensorType(tensor.dataType, shape ? new Caffe2TensorShape(shape) : null);
     }
 
     get name() {
@@ -364,7 +390,7 @@ class Caffe2Tensor {
     }
 
     get type() {
-        return new Caffe2TensorType(this._dataType, this._shape);
+        return this._type;
     }
 
     get kind() {
@@ -403,33 +429,48 @@ class Caffe2Tensor {
             context.state = 'Tensor data is empty.';
             return context;
         }
-        if (!this._dataType) {
-            context.state = 'Unknown data type.';
-            return context;
-        }
         if (this._values.floats == -1) {
             context.state = 'Tensor data is too large to load in Chrome.';
             return context;
         }
-        if (this._values.floats) {
-            context.data = this._values.floats;
-        }
-        else {
-            context.state = 'Unknown data format.';
+        switch (this._type.dataType) {
+            case 'float32':
+                context.data = this._values.floats;
+                break;
+            case 'boolean':
+                context.data = this._values.ints;
+                break;
+            default:
+                context.state = 'Unknown data type.';
+                debugger;
+                return context;
         }
+        context.shape = this._type.shape.dimensions;
+        context.dataType = this._type.dataType;
         return context;
     }
 
     _decode(context, dimension) {
         var results = [];
-        var size = this._shape[dimension];
-        if (dimension == this._shape.length - 1) {
+        var size = context.shape[dimension];
+        if (dimension == context.shape.length - 1) {
             for (var i = 0; i < size; i++) {
                 if (context.count > context.limit) {
                     results.push('...');
                     return results;
                 }
-                results.push(context.data[context.index]);
+                switch (context.dataType) {
+                    case 'float32':
+                        results.push(context.data[context.index]);
+                        break;
+                    case 'boolean':
+                        results.push(context.data[context.index] == 0 ? false : true);
+                        break;
+                    default:
+                        context.state = 'Unknown data type.';
+                        debugger;
+                        break;
+                }
                 context.index++;
                 context.count++;
             }
@@ -463,7 +504,22 @@ class Caffe2TensorType {
     }
 
     toString() {
-        return this.dataType + (this._shape ? ('[' + this._shape.map((dimension) => dimension.toString()).join(',') + ']') : '');
+        return this.dataType + this._shape.toString();
+    }
+}
+
+class Caffe2TensorShape {
+
+    constructor(dimensions) {
+        this._dimensions = dimensions;
+    }
+
+    get dimensions() {
+        return this._dimensions;
+    }
+
+    toString() {
+        return this._dimensions ? ('[' + this._dimensions.map((dimension) => dimension.toString()).join(',') + ']') : '';
     }
 
 }