onnxruntime-web - npm Package Compare versions

Comparing version 1.21.0-dev.20250129-80bc1d25f0 to 1.21.0-dev.20250201-e8b0bdb127

__commit.txt

@@ -1,1 +0,1 @@
-80bc1d25f0fe5c562b34db201b567f0be64226c7
+e8b0bdb12764bf45ce4a72a094f241c44c4b6a4e

dist/ort.node.min.js

 /*!
- * ONNX Runtime Web v1.21.0-dev.20250129-80bc1d25f0
+ * ONNX Runtime Web v1.21.0-dev.20250201-e8b0bdb127
  * Copyright (c) Microsoft Corporation. All rights reserved.
  * Licensed under the MIT License.
  */
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dist/ort.wasm.min.js

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- * ONNX Runtime Web v1.21.0-dev.20250129-80bc1d25f0
+ * ONNX Runtime Web v1.21.0-dev.20250201-e8b0bdb127
  * Copyright (c) Microsoft Corporation. All rights reserved.
  * Licensed under the MIT License.
  */
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te(),new Promise((t,n)=>{ee("release",[t,n]);let o={type:"release",in:e};R.postMessage(o)});xe(e)},fr=async(e,t,n,o,r,a)=>{if(J()){if(n.some(s=>s[3]!=="cpu"))throw new Error("input tensor on GPU is not supported for proxy.");if(r.some(s=>s))throw new Error("pre-allocated output tensor is not supported for proxy.");return te(),new Promise((s,i)=>{ee("run",[s,i]);let u=n,f={type:"run",in:{sessionId:e,inputIndices:t,inputs:u,outputIndices:o,options:a}};R.postMessage(f,ve(u))})}else return Le(e,t,n,o,r,a)},cr=async e=>{if(J())return te(),new Promise((t,n)=>{ee("end-profiling",[t,n]);let o={type:"end-profiling",in:e};R.postMessage(o)});Ie(e)}});var dr,Wr,Fe,lr=E(()=>{"use strict";V();st();tt();be();rt();dr=(e,t)=>{switch(e.location){case"cpu":return[e.type,e.dims,e.data,"cpu"];case"gpu-buffer":return[e.type,e.dims,{gpuBuffer:e.gpuBuffer},"gpu-buffer"];case"ml-tensor":return[e.type,e.dims,{mlTensor:e.mlTensor},"ml-tensor"];default:throw new Error(`invalid data location: ${e.location} for ${t()}`)}},Wr=e=>{switch(e[3]){case"cpu":return new D(e[0],e[2],e[1]);case"gpu-buffer":{let t=e[0];if(!_e(t))throw new Error(`not supported data type: ${t} for deserializing GPU tensor`);let{gpuBuffer:n,download:o,dispose:r}=e[2];return D.fromGpuBuffer(n,{dataType:t,dims:e[1],download:o,dispose:r})}case"ml-tensor":{let t=e[0];if(!Me(t))throw new Error(`not supported data type: ${t} for deserializing MLTensor tensor`);let{mlTensor:n,download:o,dispose:r}=e[2];return D.fromMLTensor(n,{dataType:t,dims:e[1],download:o,dispose:r})}default:throw new Error(`invalid data location: ${e[3]}`)}},Fe=class{async fetchModelAndCopyToWasmMemory(t){return ir(await ue(t))}async loadModel(t,n){N();let o;typeof t=="string"?!1?o=await ue(t):o=await this.fetchModelAndCopyToWasmMemory(t):o=t,[this.sessionId,this.inputNames,this.outputNames]=await ar(o,n),W()}async dispose(){return ur(this.sessionId)}async run(t,n,o){N();let r=[],a=[];Object.entries(t).forEach(c=>{let p=c[0],y=c[1],m=this.inputNames.indexOf(p);if(m===-1)throw new Error(`invalid input '${p}'`);r.push(y),a.push(m)});let s=[],i=[];Object.entries(n).forEach(c=>{let p=c[0],y=c[1],m=this.outputNames.indexOf(p);if(m===-1)throw new Error(`invalid output '${p}'`);s.push(y),i.push(m)});let u=r.map((c,p)=>dr(c,()=>`input "${this.inputNames[a[p]]}"`)),f=s.map((c,p)=>c?dr(c,()=>`output "${this.outputNames[i[p]]}"`):null),l=await fr(this.sessionId,a,u,i,f,o),d={};for(let c=0;c<l.length;c++)d[this.outputNames[i[c]]]=s[c]??Wr(l[c]);return W(),d}startProfiling(){}endProfiling(){cr(this.sessionId)}}});var mr={};he(mr,{OnnxruntimeWebAssemblyBackend:()=>ke,initializeFlags:()=>pr,wasmBackend:()=>$r});var pr,ke,$r,hr=E(()=>{"use strict";V();st();lr();pr=()=>{if((typeof A.wasm.initTimeout!="number"||A.wasm.initTimeout<0)&&(A.wasm.initTimeout=0),A.wasm.simd===!1&&console.warn('Deprecated property "env.wasm.simd" is set to false. non-SIMD build is no longer provided, and this setting will be ignored.'),typeof A.wasm.proxy!="boolean"&&(A.wasm.proxy=!1),typeof A.wasm.trace!="boolean"&&(A.wasm.trace=!1),typeof A.wasm.numThreads!="number"||!Number.isInteger(A.wasm.numThreads)||A.wasm.numThreads<=0)if(typeof self<"u"&&!self.crossOriginIsolated)A.wasm.numThreads=1;else{let e=typeof navigator>"u"?Ge("node:os").cpus().length:navigator.hardwareConcurrency;A.wasm.numThreads=Math.min(4,Math.ceil((e||1)/2))}},ke=class{async init(t){pr(),await or(),await sr(t)}async createInferenceSessionHandler(t,n){let o=new Fe;return await o.loadModel(t,n),Promise.resolve(o)}},$r=new ke});var zr={};he(zr,{InferenceSession:()=>_t,TRACE:()=>qe,TRACE_FUNC_BEGIN:()=>N,TRACE_FUNC_END:()=>W,Tensor:()=>D,default:()=>Gr,env:()=>A,registerBackend:()=>K});V();V();V();var kt="1.21.0-dev.20250201-e8b0bdb127";var Gr=Xe;{let e=(hr(),ze(mr)).wasmBackend;K("cpu",e,10),K("wasm",e,10)}Object.defineProperty(A.versions,"web",{value:kt,enumerable:!0});return ze(zr);})();
 typeof exports=="object"&&typeof module=="object"&&(module.exports=ort);
 //# sourceMappingURL=ort.wasm.min.js.map

lib/onnxjs/attribute.js

 'use strict';
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
+var __createBinding =
+  (this && this.__createBinding) ||
+  (Object.create
+    ? function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        var desc = Object.getOwnPropertyDescriptor(m, k);
+        if (!desc || ('get' in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+          desc = {
+            enumerable: true,
+            get: function () {
+              return m[k];
+            },
+          };
+        }
+        Object.defineProperty(o, k2, desc);
+      }
+    : function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        o[k2] = m[k];
+      });
+var __setModuleDefault =
+  (this && this.__setModuleDefault) ||
+  (Object.create
+    ? function (o, v) {
+        Object.defineProperty(o, 'default', { enumerable: true, value: v });
+      }
+    : function (o, v) {
+        o['default'] = v;
+      });
+var __importStar =
+  (this && this.__importStar) ||
+  function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null)
+      for (var k in mod)
+        if (k !== 'default' && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+  };
 Object.defineProperty(exports, '__esModule', { value: true });
 exports.Attribute = void 0;
-const ort_generated_1 = require('./ort-schema/flatbuffers/ort-generated');
+const ortFbs = __importStar(require('./ort-schema/flatbuffers/ort-generated'));
 const onnx_1 = require('./ort-schema/protobuf/onnx');
 const tensor_1 = require('./tensor');
 const util_1 = require('./util');
-var ortFbs = ort_generated_1.onnxruntime.experimental.fbs;
 class Attribute {
@@ -12,0 +51,0 @@ constructor(attributes) {

lib/onnxjs/attribute.ts

@@ -6,3 +6,3 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
 
-import { onnxruntime } from './ort-schema/flatbuffers/ort-generated';
+import * as ortFbs from './ort-schema/flatbuffers/ort-generated';
 import { onnx } from './ort-schema/protobuf/onnx';
@@ -12,4 +12,2 @@ import { Tensor } from './tensor';
 
-import ortFbs = onnxruntime.experimental.fbs;
-
 export declare namespace Attribute {
@@ -141,3 +139,3 @@ export interface DataTypeMap {
     if (attrType === onnx.AttributeProto.AttributeType.INT && LongUtil.isLong(value)) {
-      return LongUtil.longToNumber(value as Long | flatbuffers.Long);
+      return LongUtil.longToNumber(value as bigint | Long);
     }
@@ -147,3 +145,3 @@
     if (attrType === onnx.AttributeProto.AttributeType.INTS) {
-      const arr = value as Array<number | Long | flatbuffers.Long>;
+      const arr = value as Array<number | Long | bigint>;
       const numberValue: number[] = new Array<number>(arr.length);
@@ -150,0 +148,0 @@

lib/onnxjs/graph.js

 'use strict';
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
+var __createBinding =
+  (this && this.__createBinding) ||
+  (Object.create
+    ? function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        var desc = Object.getOwnPropertyDescriptor(m, k);
+        if (!desc || ('get' in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+          desc = {
+            enumerable: true,
+            get: function () {
+              return m[k];
+            },
+          };
+        }
+        Object.defineProperty(o, k2, desc);
+      }
+    : function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        o[k2] = m[k];
+      });
+var __setModuleDefault =
+  (this && this.__setModuleDefault) ||
+  (Object.create
+    ? function (o, v) {
+        Object.defineProperty(o, 'default', { enumerable: true, value: v });
+      }
+    : function (o, v) {
+        o['default'] = v;
+      });
+var __importStar =
+  (this && this.__importStar) ||
+  function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null)
+      for (var k in mod)
+        if (k !== 'default' && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+  };
 Object.defineProperty(exports, '__esModule', { value: true });
 exports.Graph = void 0;
 const attribute_1 = require('./attribute');
-const ort_generated_1 = require('./ort-schema/flatbuffers/ort-generated');
+const ortFbs = __importStar(require('./ort-schema/flatbuffers/ort-generated'));
 const onnx_1 = require('./ort-schema/protobuf/onnx');
 const tensor_1 = require('./tensor');
 const util_1 = require('./util');
-var ortFbs = ort_generated_1.onnxruntime.experimental.fbs;
 // eslint-disable-next-line @typescript-eslint/naming-convention, @typescript-eslint/no-redeclare
@@ -13,0 +52,0 @@ exports.Graph = {

lib/onnxjs/graph.ts

@@ -5,3 +5,3 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
 import { Attribute } from './attribute';
-import { onnxruntime } from './ort-schema/flatbuffers/ort-generated';
+import * as ortFbs from './ort-schema/flatbuffers/ort-generated';
 import { onnx } from './ort-schema/protobuf/onnx';
@@ -11,4 +11,2 @@ import { Tensor } from './tensor';
 
-import ortFbs = onnxruntime.experimental.fbs;
-
 export declare namespace Graph {
@@ -15,0 +13,0 @@ export interface Shape {

lib/onnxjs/model.js

 'use strict';
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
+var __createBinding =
+  (this && this.__createBinding) ||
+  (Object.create
+    ? function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        var desc = Object.getOwnPropertyDescriptor(m, k);
+        if (!desc || ('get' in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+          desc = {
+            enumerable: true,
+            get: function () {
+              return m[k];
+            },
+          };
+        }
+        Object.defineProperty(o, k2, desc);
+      }
+    : function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        o[k2] = m[k];
+      });
+var __setModuleDefault =
+  (this && this.__setModuleDefault) ||
+  (Object.create
+    ? function (o, v) {
+        Object.defineProperty(o, 'default', { enumerable: true, value: v });
+      }
+    : function (o, v) {
+        o['default'] = v;
+      });
+var __importStar =
+  (this && this.__importStar) ||
+  function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null)
+      for (var k in mod)
+        if (k !== 'default' && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+  };
 Object.defineProperty(exports, '__esModule', { value: true });
 exports.Model = void 0;
-const flatbuffers_1 = require('flatbuffers');
+const flatbuffers = __importStar(require('flatbuffers'));
 const graph_1 = require('./graph');
-const ort_generated_1 = require('./ort-schema/flatbuffers/ort-generated');
+const ortFbs = __importStar(require('./ort-schema/flatbuffers/ort-generated'));
 const onnx_1 = require('./ort-schema/protobuf/onnx');
 const util_1 = require('./util');
-var ortFbs = ort_generated_1.onnxruntime.experimental.fbs;
 class Model {
@@ -52,3 +91,3 @@ // empty model
   loadFromOrtFormat(buf, graphInitializer) {
-    const fb = new flatbuffers_1.flatbuffers.ByteBuffer(buf);
+    const fb = new flatbuffers.ByteBuffer(buf);
     const ortModel = ortFbs.InferenceSession.getRootAsInferenceSession(fb).model();
@@ -55,0 +94,0 @@ const irVersion = util_1.LongUtil.longToNumber(ortModel.irVersion());

lib/onnxjs/model.ts

 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
 
-import { flatbuffers } from 'flatbuffers';
+import * as flatbuffers from 'flatbuffers';
 
 import { Graph } from './graph';
 import { OpSet } from './opset';
-import { onnxruntime } from './ort-schema/flatbuffers/ort-generated';
+import * as ortFbs from './ort-schema/flatbuffers/ort-generated';
 import { onnx } from './ort-schema/protobuf/onnx';
 import { LongUtil } from './util';
 
-import ortFbs = onnxruntime.experimental.fbs;
-
 export class Model {
@@ -15,0 +13,0 @@ // empty model

lib/onnxjs/ort-schema/flatbuffers/README.md

 # ORT Format File
 
-This directory contains [the generated ts file](ort-generated.ts) necessary to support the ORT file format. The file is generated from [the ORT file format schema](https://github.com/microsoft/onnxruntime/blob/d42399e1b07ce61e95aae88bc6b6ea5dcaae2011/onnxruntime/core/flatbuffers/schema/ort.fbs). Please do not directly modify [the generated ts header file](ort-generated.ts).
+This directory contains [the generated ts file](ort-generated.ts) necessary to support the ORT file format. The file is generated from [the ORT file format schema](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/core/flatbuffers/schema/ort.fbs). Please do not directly modify [the generated ts header file](ort-generated.ts).
 
-[The ORT file format schema](https://github.com/microsoft/onnxruntime/blob/d42399e1b07ce61e95aae88bc6b6ea5dcaae2011/onnxruntime/core/flatbuffers/schema/ort.fbs) uses [FlatBuffers](https://github.com/google/flatbuffers) serialization library. To update [its generated ts file](ort-generated.ts),
+[The ORT file format schema](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/core/flatbuffers/schema/ort.fbs) uses [FlatBuffers](https://github.com/google/flatbuffers) serialization library. To update [its generated ts file](ort-generated.ts),
 
-1. Download or locate the [ort.fbs](https://github.com/microsoft/onnxruntime/blob/d42399e1b07ce61e95aae88bc6b6ea5dcaae2011/onnxruntime/core/flatbuffers/schema/ort.fbs) file.
-2. Download FlatBuffers compiler: Download the latest flatc tool (flatc_windows.zip) from [Flatbuffers Release Page](https://github.com/google/flatbuffers/releases). Unzip and run
+1. Download or locate the [ort.fbs](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/core/flatbuffers/schema/ort.fbs) file.
+2. Download FlatBuffers compiler: Download the latest flatc tool (Windows.flatc.binary.zip) from [Flatbuffers Release Page](https://github.com/google/flatbuffers/releases). Unzip and run
 
-`> flatc_windows.exe --ts <path to ort.fbs>`
+`> flatc.exe --ts ort.fbs`
 
-This should result in ort-generated.ts being updated.
+copy the generated folder `onnxruntime` to `js/web/lib/onnxjs/ort-schema/flatbuffers/` directory.
+
+Update ort-generated.ts to re-export from the generated file fbs.ts under the onnxruntime directory.

lib/onnxjs/tensor.js

 'use strict';
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
+var __createBinding =
+  (this && this.__createBinding) ||
+  (Object.create
+    ? function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        var desc = Object.getOwnPropertyDescriptor(m, k);
+        if (!desc || ('get' in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+          desc = {
+            enumerable: true,
+            get: function () {
+              return m[k];
+            },
+          };
+        }
+        Object.defineProperty(o, k2, desc);
+      }
+    : function (o, m, k, k2) {
+        if (k2 === undefined) k2 = k;
+        o[k2] = m[k];
+      });
+var __setModuleDefault =
+  (this && this.__setModuleDefault) ||
+  (Object.create
+    ? function (o, v) {
+        Object.defineProperty(o, 'default', { enumerable: true, value: v });
+      }
+    : function (o, v) {
+        o['default'] = v;
+      });
+var __importStar =
+  (this && this.__importStar) ||
+  function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null)
+      for (var k in mod)
+        if (k !== 'default' && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+  };
 var __importDefault =
@@ -13,6 +53,5 @@ (this && this.__importDefault) ||
 const long_1 = __importDefault(require('long'));
-const ort_generated_1 = require('./ort-schema/flatbuffers/ort-generated');
+const ortFbs = __importStar(require('./ort-schema/flatbuffers/ort-generated'));
 const onnx_1 = require('./ort-schema/protobuf/onnx');
 const util_1 = require('./util');
-var ortFbs = ort_generated_1.onnxruntime.experimental.fbs;
 class Tensor {
@@ -19,0 +58,0 @@ /**

lib/onnxjs/tensor.ts

@@ -7,8 +7,6 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
 
-import { onnxruntime } from './ort-schema/flatbuffers/ort-generated';
+import * as ortFbs from './ort-schema/flatbuffers/ort-generated';
 import { onnx } from './ort-schema/protobuf/onnx';
 import { decodeUtf8String, ProtoUtil, ShapeUtil } from './util';
 
-import ortFbs = onnxruntime.experimental.fbs;
-
 export declare namespace Tensor {
@@ -15,0 +13,0 @@ export interface DataTypeMap {

lib/onnxjs/util.js

@@ -28,3 +28,2 @@ 'use strict';
     void 0;
-const flatbuffers_1 = require('flatbuffers');
 const long_1 = __importDefault(require('long'));
@@ -451,7 +450,7 @@ const onnx_1 = require('./ort-schema/protobuf/onnx');
   // To make it more generic, add an optional parameter to convert to a unsigned number.
-  static longToNumber(n, unsigned) {
+  static longToNumber(n) {
     if (long_1.default.isLong(n)) {
       return n.toNumber();
-    } else if (n instanceof flatbuffers_1.flatbuffers.Long) {
-      return long_1.default.fromValue({ low: n.low, high: n.high, unsigned: unsigned ?? false }).toNumber();
+    } else if (typeof n === 'bigint') {
+      return Number(n);
     }
@@ -461,3 +460,3 @@ return n;
   static isLong(n) {
-    return long_1.default.isLong(n) || n instanceof flatbuffers_1.flatbuffers.Long;
+    return long_1.default.isLong(n) || typeof n === 'bigint';
   }
@@ -464,0 +463,0 @@ }

lib/onnxjs/util.ts

 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
 
-import { flatbuffers } from 'flatbuffers';
 import Long from 'long';
 
 import { Graph } from './graph';
-import { onnxruntime } from './ort-schema/flatbuffers/ort-generated';
+import * as ortFbs from './ort-schema/flatbuffers/ort-generated';
 import { onnx } from './ort-schema/protobuf/onnx';
@@ -416,5 +415,3 @@ import { Tensor } from './tensor';
 export class ProtoUtil {
-  static tensorDataTypeFromProto(
-    typeProto: onnx.TensorProto.DataType | onnxruntime.experimental.fbs.TensorDataType,
-  ): Tensor.DataType {
+  static tensorDataTypeFromProto(typeProto: onnx.TensorProto.DataType | ortFbs.TensorDataType): Tensor.DataType {
     switch (typeProto) {
@@ -498,3 +495,3 @@ case onnx.TensorProto.DataType.INT8:
 
-  static tensorDimsFromORTFormat(tensor: onnxruntime.experimental.fbs.Tensor) {
+  static tensorDimsFromORTFormat(tensor: ortFbs.Tensor) {
     const dims = [];
@@ -507,3 +504,3 @@ for (let i = 0; i < tensor.dimsLength(); i++) {
 
-  static tensorAttributesFromORTFormat(node: onnxruntime.experimental.fbs.Node) {
+  static tensorAttributesFromORTFormat(node: ortFbs.Node) {
     const attributes = [];
@@ -521,7 +518,7 @@ for (let i = 0; i < node.attributesLength(); i++) {
   // To make it more generic, add an optional parameter to convert to a unsigned number.
-  static longToNumber(n: Long | flatbuffers.Long | number, unsigned?: boolean) {
+  static longToNumber(n: Long | bigint | number) {
     if (Long.isLong(n)) {
       return n.toNumber();
-    } else if (n instanceof flatbuffers.Long) {
-      return Long.fromValue({ low: n.low, high: n.high, unsigned: unsigned ?? false }).toNumber();
+    } else if (typeof n === 'bigint') {
+      return Number(n);
     }
@@ -531,3 +528,3 @@ return n;
   static isLong(n: unknown) {
-    return Long.isLong(n) || n instanceof flatbuffers.Long;
+    return Long.isLong(n) || typeof n === 'bigint';
   }
@@ -534,0 +531,0 @@ }

lib/version.ts

@@ -7,2 +7,2 @@ // Copyright (c) Microsoft Corporation. All rights reserved.
 
-export const version = '1.21.0-dev.20250129-80bc1d25f0';
+export const version = '1.21.0-dev.20250201-e8b0bdb127';

package.json

@@ -10,6 +10,6 @@ {
   "author": "fs-eire",
-  "version": "1.21.0-dev.20250129-80bc1d25f0",
+  "version": "1.21.0-dev.20250201-e8b0bdb127",
   "jsdelivr": "dist/ort.min.js",
   "dependencies": {
-    "flatbuffers": "^1.12.0",
+    "flatbuffers": "^25.1.24",
     "guid-typescript": "^1.0.9",
@@ -42,3 +42,2 @@ "long": "^5.2.3",
     "@types/emscripten": "^1.39.6",
-    "@types/flatbuffers": "^1.10.0",
     "@types/karma": "^6.1.0",
@@ -82,4 +81,2 @@ "@types/minimatch": "^5.1.2",
     },
-    "./.mjs": "./dist/ort-wasm-simd-threaded.jsep.mjs",
-    "./.wasm": "./dist/ort-wasm-simd-threaded.jsep.wasm",
     "./all": {
@@ -90,4 +87,2 @@ "import": "./dist/ort.all.bundle.min.mjs",
     },
-    "./all/.mjs": "./dist/ort-wasm-simd-threaded.jsep.mjs",
-    "./all/.wasm": "./dist/ort-wasm-simd-threaded.jsep.wasm",
     "./wasm": {
@@ -98,4 +93,2 @@ "import": "./dist/ort.wasm.bundle.min.mjs",
     },
-    "./wasm/.mjs": "./dist/ort-wasm-simd-threaded.mjs",
-    "./wasm/.wasm": "./dist/ort-wasm-simd-threaded.wasm",
     "./webgl": {
@@ -102,0 +95,0 @@ "import": "./dist/ort.webgl.min.mjs",

No alert changes

Improved metrics

Total package byte prevSize

94472498

0.38%

Dev dependency count

29

-3.33%

Number of package files

496

29.84%

Lines of code

285207

0.81%

Dependency changes

• + Added

  flatbuffers@25.2.10
  (transitive)

• - Removed

  flatbuffers@1.12.0
  (transitive)

• Updated

  flatbuffers@^25.1.24