onnxruntime-common - npm Package Compare versions

Comparing version 1.20.0-dev.20240827-5d54dc1462 to 1.20.0-dev.20240912-ae39c40e5b

__commit.txt

@@ -1,1 +0,1 @@
-5d54dc1462f0c6cc94cecbe86a45962771ac5b86
+ae39c40e5b65874735cd07aca692287aa1cf1b62

dist/cjs/tensor-impl.d.ts

@@ -18,7 +18,7 @@ import { TensorToDataUrlOptions, TensorToImageDataOptions } from './tensor-conversion.js';
      */
-    constructor(type: TensorType, data: TensorDataType | readonly string[] | readonly number[] | readonly boolean[], dims?: readonly number[]);
+    constructor(type: TensorType, 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[]);
     /**
@@ -25,0 +25,0 @@ * Construct a new tensor object from the pinned CPU data with the given type and dims.

dist/cjs/tensor-impl.js

@@ -136,2 +136,10 @@ "use strict";
                     }
+                    else if (arg1 instanceof Uint8ClampedArray) {
+                        if (arg0 === 'uint8') {
+                            data = Uint8Array.from(arg1);
+                        }
+                        else {
+                            throw new TypeError(`A Uint8ClampedArray tensor's data must be type of uint8`);
+                        }
+                    }
                     else {
@@ -168,2 +176,6 @@ throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`);
                 }
+                else if (arg0 instanceof Uint8ClampedArray) {
+                    type = 'uint8';
+                    data = Uint8Array.from(arg0);
+                }
                 else {
@@ -170,0 +182,0 @@ // get tensor type from TypedArray

dist/cjs/tensor.d.ts

@@ -163,2 +163,10 @@ import { TensorFactory } from './tensor-factory.js';
     /**
+     * Construct a new uint8 tensor object from a Uint8ClampedArray, data and dims.
+     *
+     * @param type - Specify the element type.
+     * @param data - Specify the CPU tensor data.
+     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
+     */
+    new (type: 'uint8', data: Uint8ClampedArray, dims?: readonly number[]): TypedTensor<'uint8'>;
+    /**
      * Construct a new 64-bit integer typed tensor object from the given type, data and dims.
@@ -201,2 +209,9 @@ *
     /**
+     * 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.
@@ -203,0 +218,0 @@ *

dist/cjs/version.d.ts

@@ -1,2 +0,2 @@
-export declare const version = "1.20.0-dev.20240827-5d54dc1462";
+export declare const version = "1.20.0-dev.20240912-ae39c40e5b";
 //# sourceMappingURL=version.d.ts.map

dist/cjs/version.js

@@ -8,3 +8,3 @@ "use strict";
 // Do not modify file content manually.
-exports.version = '1.20.0-dev.20240827-5d54dc1462';
+exports.version = '1.20.0-dev.20240912-ae39c40e5b';
 //# sourceMappingURL=version.js.map

dist/esm/tensor-impl.d.ts

@@ -18,7 +18,7 @@ import { TensorToDataUrlOptions, TensorToImageDataOptions } from './tensor-conversion.js';
      */
-    constructor(type: TensorType, data: TensorDataType | readonly string[] | readonly number[] | readonly boolean[], dims?: readonly number[]);
+    constructor(type: TensorType, 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[]);
     /**
@@ -25,0 +25,0 @@ * Construct a new tensor object from the pinned CPU data with the given type and dims.

dist/esm/tensor-impl.js

@@ -133,2 +133,10 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
                     }
+                    else if (arg1 instanceof Uint8ClampedArray) {
+                        if (arg0 === 'uint8') {
+                            data = Uint8Array.from(arg1);
+                        }
+                        else {
+                            throw new TypeError(`A Uint8ClampedArray tensor's data must be type of uint8`);
+                        }
+                    }
                     else {
@@ -165,2 +173,6 @@ throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`);
                 }
+                else if (arg0 instanceof Uint8ClampedArray) {
+                    type = 'uint8';
+                    data = Uint8Array.from(arg0);
+                }
                 else {
@@ -167,0 +179,0 @@ // get tensor type from TypedArray

dist/esm/tensor.d.ts

@@ -163,2 +163,10 @@ import { TensorFactory } from './tensor-factory.js';
     /**
+     * Construct a new uint8 tensor object from a Uint8ClampedArray, data and dims.
+     *
+     * @param type - Specify the element type.
+     * @param data - Specify the CPU tensor data.
+     * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
+     */
+    new (type: 'uint8', data: Uint8ClampedArray, dims?: readonly number[]): TypedTensor<'uint8'>;
+    /**
      * Construct a new 64-bit integer typed tensor object from the given type, data and dims.
@@ -201,2 +209,9 @@ *
     /**
+     * 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.
@@ -203,0 +218,0 @@ *

dist/esm/version.d.ts

@@ -1,2 +0,2 @@
-export declare const version = "1.20.0-dev.20240827-5d54dc1462";
+export declare const version = "1.20.0-dev.20240912-ae39c40e5b";
 //# sourceMappingURL=version.d.ts.map

dist/esm/version.js

@@ -5,3 +5,3 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
 // Do not modify file content manually.
-export const version = '1.20.0-dev.20240827-5d54dc1462';
+export const version = '1.20.0-dev.20240912-ae39c40e5b';
 //# sourceMappingURL=version.js.map

lib/tensor-impl.ts

@@ -54,3 +54,3 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
     type: TensorType,
-    data: TensorDataType | readonly string[] | readonly number[] | readonly boolean[],
+    data: TensorDataType | Uint8ClampedArray | readonly string[] | readonly number[] | readonly boolean[],
     dims?: readonly number[],
@@ -61,3 +61,6 @@ );
    */
-  constructor(data: TensorDataType | readonly string[] | readonly boolean[], dims?: readonly number[]);
+  constructor(
+    data: TensorDataType | Uint8ClampedArray | readonly string[] | readonly boolean[],
+    dims?: readonly number[],
+  );
   /**
@@ -95,2 +98,3 @@ * Construct a new tensor object from the pinned CPU data with the given type and dims.
       | TensorDataType
+      | Uint8ClampedArray
       | readonly string[]
@@ -101,3 +105,3 @@ | readonly boolean[]
       | GpuBufferConstructorParameters,
-    arg1?: TensorDataType | readonly number[] | readonly string[] | readonly boolean[],
+    arg1?: TensorDataType | Uint8ClampedArray | readonly number[] | readonly string[] | readonly boolean[],
     arg2?: readonly number[],
@@ -223,2 +227,8 @@ ) {
             data = arg1;
+          } else if (arg1 instanceof Uint8ClampedArray) {
+            if (arg0 === 'uint8') {
+              data = Uint8Array.from(arg1);
+            } else {
+              throw new TypeError(`A Uint8ClampedArray tensor's data must be type of uint8`);
+            }
           } else {
@@ -251,2 +261,5 @@ throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`);
           }
+        } else if (arg0 instanceof Uint8ClampedArray) {
+          type = 'uint8';
+          data = Uint8Array.from(arg0);
         } else {
@@ -253,0 +266,0 @@ // get tensor type from TypedArray

lib/tensor.ts

@@ -196,2 +196,11 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
   /**
+   * Construct a new uint8 tensor object from a Uint8ClampedArray, data and dims.
+   *
+   * @param type - Specify the element type.
+   * @param data - Specify the CPU tensor data.
+   * @param dims - Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.
+   */
+  new (type: 'uint8', data: Uint8ClampedArray, dims?: readonly number[]): TypedTensor<'uint8'>;
+
+  /**
    * Construct a new 64-bit integer typed tensor object from the given type, data and dims.
@@ -250,2 +259,10 @@ *
   /**
+   * 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.
@@ -252,0 +269,0 @@ *

lib/version.ts

@@ -7,2 +7,2 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
 
-export const version = '1.20.0-dev.20240827-5d54dc1462';
+export const version = '1.20.0-dev.20240912-ae39c40e5b';

package.json

@@ -5,3 +5,3 @@ {
   "name": "onnxruntime-common",
-  "version": "1.20.0-dev.20240827-5d54dc1462",
+  "version": "1.20.0-dev.20240912-ae39c40e5b",
   "repository": {
@@ -8,0 +8,0 @@ "url": "https://github.com/Microsoft/onnxruntime.git",

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Improved metrics

Total package byte prevSize

593434

increased by0.84%

Lines of code

10529

increased by0.78%

No dependency changes