[converter] added dtype support for oneHot for converter (#6782)

* added dtype support for oneHot for converter

* update the doc for onehot

Author: pyu10055

tfjs-converter/python/tensorflowjs/op_list/creation.json

@@ -88,8 +88,7 @@
       {
         "tfName": "T",
         "name": "dtype",
-        "type": "dtype",
-        "notSupported": true
+        "type": "dtype"
       }
     ]
   },
@@ -366,4 +365,4 @@
       }
     ]
   }
-]
+]

tfjs-converter/src/operations/executors/creation_executor.ts

@@ -26,8 +26,8 @@ import {InternalOpExecutor, Node} from '../types';
 import {getParamValue} from './utils';
 
 export const executeOp: InternalOpExecutor =
-    (node: Node, tensorMap: NamedTensorsMap,
-     context: ExecutionContext, ops = tfOps): Tensor[] => {
+    (node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext,
+     ops = tfOps): Tensor[] => {
       switch (node.op) {
         case 'Fill': {
           const shape =
@@ -64,7 +64,9 @@ export const executeOp: InternalOpExecutor =
               getParamValue('onValue', node, tensorMap, context) as number;
           const offValue =
               getParamValue('offValue', node, tensorMap, context) as number;
-          return [ops.oneHot(indices, depth, onValue, offValue)];
+          const dtype =
+              getParamValue('dtype', node, tensorMap, context) as DataType;
+          return [ops.oneHot(indices, depth, onValue, offValue, dtype)];
         }
         case 'Ones': {
           return [ops.ones(

tfjs-converter/src/operations/executors/creation_executor_test.ts

@@ -22,8 +22,8 @@ import * as creation from '../op_list/creation';
 import {Node} from '../types';
 
 import {executeOp} from './creation_executor';
+import {RecursiveSpy, spyOnAllFunctions} from './spy_ops';
 import {createDtypeAttr, createNumberAttr, createNumberAttrFromIndex, createNumericArrayAttrFromIndex, createTensorAttr, validateParam} from './test_helper';
-import {spyOnAllFunctions, RecursiveSpy} from './spy_ops';
 
 describe('creation', () => {
   let node: Node;
@@ -99,22 +99,25 @@ describe('creation', () => {
         node.inputParams['depth'] = createNumberAttrFromIndex(1);
         node.inputParams['onValue'] = createNumberAttrFromIndex(2);
         node.inputParams['offValue'] = createNumberAttrFromIndex(3);
+        node.attrParams['dtype'] = createDtypeAttr('float32');
         node.inputNames = ['input', 'input2', 'input3', 'input4'];
         const input = [tfOps.tensor1d([0])];
         const input3 = [tfOps.scalar(2)];
         const input4 = [tfOps.scalar(3)];
         spyOps.oneHot.and.returnValue({});
-        executeOp(node, {input, input2, input3, input4}, context,
-                  spyOpsAsTfOps);
+        executeOp(
+            node, {input, input2, input3, input4}, context, spyOpsAsTfOps);
 
-        expect(spyOps.oneHot).toHaveBeenCalledWith(input[0], 1, 2, 3);
+        expect(spyOps.oneHot)
+            .toHaveBeenCalledWith(input[0], 1, 2, 3, 'float32');
       });
       it('should match json def', () => {
         node.op = 'OneHot';
         node.inputParams['indices'] = createTensorAttr(0);
         node.inputParams['depth'] = createNumberAttrFromIndex(1);
         node.inputParams['onValue'] = createNumberAttrFromIndex(2);
         node.inputParams['offValue'] = createNumberAttrFromIndex(3);
+        node.attrParams['dtype'] = createDtypeAttr('float32');
 
         expect(validateParam(node, creation.json)).toBeTruthy();
       });

tfjs-core/src/ops/one_hot.ts

@@ -45,6 +45,7 @@ import {op} from './operation';
  * the location.
  * @param offValue A number used to fill in the output when the index does
  *     not match the location.
+ * @param dtype The dtype of the output tensor, default to 'int32'.
  *
  * @doc {heading: 'Tensors', subheading: 'Creation'}
  */