diff --git a/tfjs-converter/src/operations/executors/slice_join_executor.ts b/tfjs-converter/src/operations/executors/slice_join_executor.ts
index 6187d1d9326..f2da33ea870 100644
--- a/tfjs-converter/src/operations/executors/slice_join_executor.ts
+++ b/tfjs-converter/src/operations/executors/slice_join_executor.ts
@@ -24,9 +24,9 @@ import {InternalOpExecutor, Node} from '../types';
 import {getParamValue} from './utils';
 
 export const executeOp: InternalOpExecutor = (node: Node,
-                                            tensorMap: NamedTensorsMap,
-                                            context: ExecutionContext):
-                                               tfc.Tensor[] => {
+                                              tensorMap: NamedTensorsMap,
+                                              context: ExecutionContext):
+                                                 tfc.Tensor[] => {
   switch (node.op) {
     case 'ConcatV2':
     case 'Concat': {
@@ -126,9 +126,18 @@ export const executeOp: InternalOpExecutor = (node: Node,
       const numOrSizeSplits =
           getParamValue('numOrSizeSplits', node, tensorMap, context) as number |
           number[];
-      return tfc.split(
-          getParamValue('x', node, tensorMap, context) as tfc.Tensor,
-          numOrSizeSplits, axis);
+      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;
+
+      // Allow the last number of split array to be -1, which indicates the rest
+      // of dimension is allocated to the last split.
+      if (Array.isArray(numOrSizeSplits)) {
+        const negIndex = numOrSizeSplits.indexOf(-1);
+        if (negIndex !== -1) {
+          const total = numOrSizeSplits.reduce((a, b) => b > 0 ? a + b : a);
+          numOrSizeSplits[negIndex] = tensor.shape[axis] - total;
+        }
+      }
+      return tfc.split(tensor, numOrSizeSplits, axis);
     }
     case 'ScatterNd': {
       const indices =
diff --git a/tfjs-converter/src/operations/executors/slice_join_executor_test.ts b/tfjs-converter/src/operations/executors/slice_join_executor_test.ts
index 16e71cf5d5b..b9e5c4d3449 100644
--- a/tfjs-converter/src/operations/executors/slice_join_executor_test.ts
+++ b/tfjs-converter/src/operations/executors/slice_join_executor_test.ts
@@ -21,7 +21,7 @@ import * as slice_join from '../op_list/slice_join';
 import {Node} from '../types';
 
 import {executeOp} from './slice_join_executor';
-import {createNumberAttr, createNumberAttrFromIndex, createNumericArrayAttrFromIndex, createTensorAttr, createTensorsAttr, validateParam} from './test_helper';
+import {createNumberAttr, createNumberAttrFromIndex, createNumericArrayAttr, createNumericArrayAttrFromIndex, createTensorAttr, createTensorsAttr, validateParam} from './test_helper';
 
 describe('slice join', () => {
   let node: Node;
@@ -337,6 +337,19 @@ describe('slice join', () => {
 
         expect(tfc.split).toHaveBeenCalledWith(input2[0], 2, 1);
       });
+      it('should support -1 split', () => {
+        spyOn(tfc, 'split');
+        node.op = 'Split';
+        node.inputParams.axis = createNumberAttrFromIndex(0);
+        node.inputParams.x = createTensorAttr(1);
+        node.attrParams.numOrSizeSplits = createNumericArrayAttr([1, 1, -1]);
+        node.inputNames = ['input4', 'input3'];
+        const input3 = [tfc.tensor1d([1, 2, 3, 4, 5])];
+        const input4 = [tfc.scalar(0)];
+        executeOp(node, {input3, input4}, context);
+
+        expect(tfc.split).toHaveBeenCalledWith(input3[0], [1, 1, 3], 0);
+      });
       it('should match json def for split', () => {
         node.op = 'Split';
         node.inputParams.axis = createNumberAttrFromIndex(0);