genuine-verify-sdk/dist/index.js

Privacy-first human verification widget using React, Next.js, and TensorFlow.js

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new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=e;}let n;return this.scopedRun(()=>this.startScope(o),()=>this.endScope(n),()=>(n=t(),n instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n))}scopedRun(e,t,o){e();try{let n=o();return t(),n}catch(n){throw t(),n}}nextTensorId(){return r.nextTensorId++}nextVariableId(){return r.nextVariableId++}clone(e){let t=E.runKernel(Rs,{x:e}),o={x:e},n=a=>({x:()=>{let i="float32",p={x:a},l={dtype:i};return E.runKernel(_s,p,l)}}),s=[];return this.addTapeNode(this.state.activeScope.name,o,[t],n,s,{}),t}runKernel(e,t,o){if(this.backendName==null&&this.backend,!(vd(e,this.backendName)!=null))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:o})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,o){let n=this.backend.numDataIds(),s=0;o.forEach(p=>{s+=p.dtype==="complex64"?3:1;});let a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=n-t-s-a;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,o=[],n=this.isTapeOn(),s=this.state.numBytes,a=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let p,l=Uy(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(Uy(e)){let{kernelName:h,inputs:g,attrs:x}=e;this.backendName==null&&this.backend;let y=vd(h,this.backendName);D(y!=null,()=>`Cannot find registered kernel '${h}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();p=y.kernelFunc({inputs:g,attrs:x,backend:this.backend});let S=Array.isArray(p)?p:[p];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(h,b,S);let w=S.map(I=>I.rank!=null?I:this.makeTensorFromTensorInfo(I));if(n){let I=this.getTensorsForGradient(h,g,w);o=this.saveTensorsForBackwardMode(I);}return w};}else {let{forwardFunc:h}=e,g=x=>{n&&(o=x.map(y=>this.keep(this.clone(y))));};i=()=>{let x=this.backend.numDataIds();p=this.tidy(()=>h(this.backend,g));let y=Array.isArray(p)?p:[p];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,x,y),y};}let{inputs:u,attrs:c}=e,d=Uy(e)?null:e.backwardsFunc,m;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(m=this.profiler.profileKernel(l,u,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(m),t=m.outputs);}),n&&this.addTapeNode(l,u,t,d,o,c),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.nu