adds support for Uint8ClampedArray

js/common/lib/tensor-impl.ts

@@ -51,13 +51,16 @@ export class Tensor implements TensorInterface {
    */
   constructor(
     type: TensorType,
-    data: TensorDataType | readonly string[] | readonly number[] | readonly boolean[],
+    data: TensorDataType | Uint8ClampedArray | readonly string[] | readonly number[] | readonly boolean[],
     dims?: readonly number[],
   );
   /**
    * Construct a new CPU tensor object from the given data and dims. Type is inferred from data.
    */
-  constructor(data: TensorDataType | readonly string[] | readonly boolean[], dims?: readonly number[]);
+  constructor(
+    data: TensorDataType | Uint8ClampedArray | readonly string[] | readonly boolean[],
+    dims?: readonly number[],
+  );
   /**
    * Construct a new tensor object from the pinned CPU data with the given type and dims.
    *
@@ -90,12 +93,13 @@ export class Tensor implements TensorInterface {
     arg0:
       | TensorType
       | TensorDataType
+      | Uint8ClampedArray
       | readonly string[]
       | readonly boolean[]
       | CpuPinnedConstructorParameters
       | TextureConstructorParameters
       | GpuBufferConstructorParameters,
-    arg1?: TensorDataType | readonly number[] | readonly string[] | readonly boolean[],
+    arg1?: TensorDataType | Uint8ClampedArray | readonly number[] | readonly string[] | readonly boolean[],
     arg2?: readonly number[],
   ) {
     // perform one-time check for BigInt/Float16Array support
@@ -216,6 +220,8 @@ export class Tensor implements TensorInterface {
             }
           } else if (arg1 instanceof typedArrayConstructor) {
             data = arg1;
+          } else if (arg1 instanceof Uint8ClampedArray) {
+            data = Uint8Array.from(arg1);
           } else {
             throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`);
           }
@@ -243,6 +249,9 @@ export class Tensor implements TensorInterface {
           } else {
             throw new TypeError(`Invalid element type of data array: ${firstElementType}.`);
           }
+        } else if (arg0 instanceof Uint8ClampedArray) {
+          type = 'uint8';
+          data = Uint8Array.from(arg0);
         } else {
           // get tensor type from TypedArray
           const mappedType = NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(

js/common/lib/tensor.ts

@@ -245,6 +245,14 @@ export interface TensorConstructor extends TensorFactory {
    */
   new (data: Uint8Array, dims?: readonly number[]): TypedTensor<'uint8'>;
 
+  /**
+   * Construct a new uint8 tensor object from the given data and dims.
+   *
+   * @param data - Specify the CPU tensor data.
+   * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
+   */
+  new (data: Uint8ClampedArray, dims?: readonly number[]): TypedTensor<'uint8'>;
+
   /**
    * Construct a new uint16 tensor object from the given data and dims.
    *

js/common/test/type-tests/tensor/create-new-uint8.ts

@@ -0,0 +1,19 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+import * as ort from 'onnxruntime-common';
+
+// construct from Uint8Array
+//
+// {type-tests}|pass
+new ort.Tensor(new Uint8Array(1));
+
+// construct from Uint8ClampedArray
+//
+// {type-tests}|pass
+new ort.Tensor(new Uint8ClampedArray(1));
+
+// construct from type (bool), data (Uint8ClampedArray) and shape (number array)
+//
+// {type-tests}|fail
+new ort.Tensor('bool', new Uint8ClampedArray([255, 256]), [2]);

js/common/test/unit-tests/tensor/constructor-type.ts

@@ -82,6 +82,14 @@ describe('Tensor Constructor Tests - check types', () => {
     assert.equal(tensor.type, 'bool', "tensor.type should be 'bool'");
   });
 
+  it('[uint8] new Tensor(uint8ClampedArray, dims): uint8 tensor can be constructed from Uint8ClampedArray', () => {
+    const uint8ClampedArray = new Uint8ClampedArray(2);
+    uint8ClampedArray[0] = 0;
+    uint8ClampedArray[1] = 256; // clamped
+    const tensor = new Tensor('uint8', uint8ClampedArray, [2]);
+    assert.equal(tensor.type, 'uint8', "tensor.type should be 'uint8'");
+  });
+
   it("[bool] new Tensor('bool', uint8Array, dims): tensor can be constructed from Uint8Array", () => {
     const tensor = new Tensor('bool', new Uint8Array([1, 0, 1, 0]), [2, 2]);
     assert.equal(tensor.type, 'bool', "tensor.type should be 'bool'");