Add math.concat[1-4]D and math.slice[1-4]D

.gitignore

@@ -8,4 +8,4 @@ index.ts
 npm-debug.log
 .DS_Store
 dist/
-.idea/
+.idea/

src/graph/graph.ts

@@ -623,12 +623,10 @@ export class Concat3DNode extends Node {
       public axis: number) {
     super(
         graph, 'Concat3D', {x1, x2},
-        new Tensor(
-            concat_util.computeConcatOutputShape(x1.shape, x2.shape, axis)));
+        new Tensor(concat_util.computeOutShape(x1.shape, x2.shape, axis)));
   }
   validate() {
-    concat_util.assertConcatShapesMatch(
-        this.x1.shape, this.x2.shape, 3, this.axis);
+    concat_util.assertParams(this.x1.shape, this.x2.shape, this.axis);
   }
 }
 

src/graph/ops/concat3d.ts

@@ -36,8 +36,7 @@ export class Concat3D extends Operation {
       private x1Tensor: Tensor, private x2Tensor: Tensor, private axis: number,
       private yTensor: Tensor) {
     super();
-    concat_util.assertConcatShapesMatch(
-        x1Tensor.shape, x2Tensor.shape, 3, axis);
+    concat_util.assertParams(x1Tensor.shape, x2Tensor.shape, axis);
   }
 
   feedForward(math: NDArrayMath, inferenceArrays: TensorArrayMap) {

src/graph/ops/concat3d_test.ts

@@ -51,8 +51,7 @@ describe('concat3d operation', () => {
 
     x1Tensor = new Tensor(x1.shape);
     x2Tensor = new Tensor(x2.shape);
-    yTensor = new Tensor(
-        concat_util.computeConcatOutputShape(x1.shape, x2.shape, axis));
+    yTensor = new Tensor(concat_util.computeOutShape(x1.shape, x2.shape, axis));
 
     tensorArrayMap.set(x1Tensor, x1);
     tensorArrayMap.set(x2Tensor, x2);
@@ -75,8 +74,7 @@ describe('concat3d operation', () => {
 
     x1Tensor = new Tensor(x1.shape);
     x2Tensor = new Tensor(x2.shape);
-    yTensor = new Tensor(
-        concat_util.computeConcatOutputShape(x1.shape, x2.shape, axis));
+    yTensor = new Tensor(concat_util.computeOutShape(x1.shape, x2.shape, axis));
 
     tensorArrayMap.set(x1Tensor, x1);
     tensorArrayMap.set(x2Tensor, x2);
@@ -99,8 +97,7 @@ describe('concat3d operation', () => {
 
     x1Tensor = new Tensor(x1.shape);
     x2Tensor = new Tensor(x2.shape);
-    yTensor = new Tensor(
-        concat_util.computeConcatOutputShape(x1.shape, x2.shape, axis));
+    yTensor = new Tensor(concat_util.computeOutShape(x1.shape, x2.shape, axis));
 
     tensorArrayMap.set(x1Tensor, x1);
     tensorArrayMap.set(x2Tensor, x2);

src/math/concat_util.ts

@@ -17,35 +17,33 @@
 
 import * as util from '../util';
 
-export function assertConcatShapesMatch(
-    x1Shape: number[], x2Shape: number[], rank: number, axis: number,
-    errorMessagePrefix = '') {
+export function assertParams(aShape: number[], bShape: number[], axis: number) {
+  const aRank = aShape.length;
+  const bRank = bShape.length;
   util.assert(
-      x1Shape.length === rank,
-      errorMessagePrefix + `x1 shape should be of rank ${rank}.`);
-  util.assert(
-      x2Shape.length === rank,
-      errorMessagePrefix + `x2 shape should be of rank ${rank}.`);
+      aShape.length === bShape.length,
+      `Error in concat${aRank}D: rank of x1 (${aRank}) and x2 (${bRank}) ` +
+          `must be the same.`);
 
   util.assert(
-      axis >= 0 && axis < rank, `axis must be between 0 and ${rank - 1}.`);
+      axis >= 0 && axis < aRank,
+      `Error in concat${aRank}D: axis must be ` +
+          `between 0 and ${aRank - 1}.`);
 
-  for (let i = 0; i < rank; i++) {
+  for (let i = 0; i < aRank; i++) {
     util.assert(
-        (i === axis) || (x1Shape[i] === x2Shape[i]),
-        errorMessagePrefix +
-            `Shape (${x1Shape}) does not match (${x2Shape}) along ` +
-            `the non-concatenated axis ${i}.`);
+        (i === axis) || (aShape[i] === bShape[i]),
+        `Error in concat${aRank}D: Shape (${aShape}) does not match ` +
+            `(${bShape}) along the non-concatenated axis ${i}.`);
   }
 }
 
-export function computeConcatOutputShape(
-    x1Shape: number[], x2Shape: number[],
-    axis: number): [number, number, number] {
+export function computeOutShape(
+    x1Shape: number[], x2Shape: number[], axis: number): number[] {
   util.assert(
       x1Shape.length === x2Shape.length,
       'x1 and x2 should have the same rank.');
   const outputShape = x1Shape.slice();
   outputShape[axis] += x2Shape[axis];
-  return outputShape as [number, number, number];
+  return outputShape;
 }

src/math/concat_util_test.ts

@@ -20,39 +20,39 @@ import * as concat_util from './concat_util';
 describe('concat_util.assertConcatShapesMatch rank=3D', () => {
   it('Non-3D tensor x1', () => {
     const assertFn = () => {
-      concat_util.assertConcatShapesMatch([1], [1, 2, 3], 3, 1);
+      concat_util.assertParams([1], [1, 2, 3], 1);
     };
 
     expect(assertFn).toThrow();
   });
 
   it('Non-3D tensor x2', () => {
     const assertFn = () => {
-      concat_util.assertConcatShapesMatch([1, 2, 3], [2, 3], 3, 1);
+      concat_util.assertParams([1, 2, 3], [2, 3], 1);
     };
 
     expect(assertFn).toThrow();
   });
 
   it('axis out of bound', () => {
     const assertFn = () => {
-      concat_util.assertConcatShapesMatch([1, 2, 3], [1, 2, 3], 3, 4);
+      concat_util.assertParams([1, 2, 3], [1, 2, 3], 4);
     };
 
     expect(assertFn).toThrow();
   });
 
   it('non-axis shape mismatch', () => {
     const assertFn = () => {
-      concat_util.assertConcatShapesMatch([2, 3, 3], [2, 2, 4], 3, 2);
+      concat_util.assertParams([2, 3, 3], [2, 2, 4], 2);
     };
 
     expect(assertFn).toThrow();
   });
 
   it('shapes line up', () => {
     const assertFn = () => {
-      concat_util.assertConcatShapesMatch([2, 3, 3], [2, 3, 4], 3, 2);
+      concat_util.assertParams([2, 3, 3], [2, 3, 4], 2);
     };
 
     expect(assertFn).not.toThrow();
@@ -61,7 +61,8 @@ describe('concat_util.assertConcatShapesMatch rank=3D', () => {
 
 describe('concat_util.computeConcatOutputShape', () => {
   it('compute output shape, axis=0', () => {
-    expect(concat_util.computeConcatOutputShape([2, 2, 3], [1, 2, 3], 0))
-        .toEqual([3, 2, 3]);
+    expect(concat_util.computeOutShape([2, 2, 3], [1, 2, 3], 0)).toEqual([
+      3, 2, 3
+    ]);
   });
 });