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human/assets/tf-backend-wasm.min.js

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/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
!function(e,n){"object"==typeof exports&&"undefined"!=typeof module?n(exports,require("@tensorflow/tfjs-core"),require("path"),require("fs"),require("worker_threads"),require("perf_hooks")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-core","path","fs","worker_threads","perf_hooks"],n):n(((e=e||self).tf=e.tf||{},e.tf.wasm=e.tf.wasm||{}),e.tf,e.path,e.fs,e.worker_threads,e.perf_hooks)}(this,(function(e,n,t,r,a,u){"use strict";var s,i;let o;t=t&&t.hasOwnProperty("default")?t.default:t,r=r&&r.hasOwnProperty("default")?r.default:r,a=a&&a.hasOwnProperty("default")?a.default:a,u=u&&u.hasOwnProperty("default")?u.default:u,function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"}(s||(s={})),function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu"}(i||(i={}));const l={kernelName:n._FusedMatMul,backendName:"wasm",setupFunc:function(e){o=e.wasm.cwrap(n._FusedMatMul,null,["number","array","number","number","array","number","number","number","number","number","number","number"])},kernelFunc:function(e){const{inputs:n,backend:t,attrs:r}=e,{a:a,b:u,bias:s,preluActivationWeights:l}=n;if("float32"!==a.dtype||"float32"!==u.dtype)throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");const{transposeA:d,transposeB:c,activation:p}=r,f=t.dataIdMap.get(a.dataId).id,m=t.dataIdMap.get(u.dataId).id;let h=0;if(null!=s){const e=t.dataIdMap.get(s.dataId);if(1!==e.shape.length)throw new Error("_FusedMatMul only supports rank-1 bias but got "+`rank ${e.shape.length}.`);h=e.id}const _=null==l?0:t.dataIdMap.get(l.dataId).id,b=i[p];if(null==b)throw new Error(`${p} activation not yet supported for FusedConv2D `+"in the wasm backend.");const y=d?a.shape[2]:a.shape[1],g=c?u.shape[1]:u.shape[2],w=a.shape[0],k=t.makeOutput([w,y,g],a.dtype),v=t.dataIdMap.get(k.dataId).id,I=new Uint8Array(new Int32Array(a.shape).buffer),E=new Uint8Array(new Int32Array(u.shape).buffer);return o(f,I,a.shape.length,m,E,u.shape.length,d,c,b,h,_,v),k}};function d(e){let t;return{kernelName:e,backendName:"wasm",setupFunc:function(n){t=n.wasm.cwrap(e,null,["number","number"])},kernelFunc:function(e){const{backend:r,inputs:{x:a}}=e,u=r.dataIdMap.get(a.dataId).id,s=r.makeOutput(a.shape,a.dtype),i=r.dataIdMap.get(s.dataId).id;return 0===n.util.sizeFromShape(s.shape)?s:(t(u,i),s)}}}const c=d(n.Abs);function p(e,t,r){let a;return{kernelName:e,backendName:"wasm",setupFunc:function(n){a=n.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])},kernelFunc:function(u){const{backend:i,inputs:o}=u,{a:l,b:d}=o,c=i.dataIdMap.get(l.dataId).id,p=i.dataIdMap.get(d.dataId).id,f=null!=r?r:l.dtype,m=n.backend_util.assertAndGetBroadcastShape(l.shape,d.shape),h=i.makeOutput(m,f);if(0===n.util.sizeFromShape(m))return h;const _=new Uint8Array(new Int32Array(l.shape).buffer),b=new Uint8Array(new Int32Array(d.shape).buffer),y=i.dataIdMap.get(h.dataId).id,g=()=>a(c,_,l.shape.length,p,b,d.shape.length,s[l.dtype],y);if(t&&"float32"===l.dtype)return g(),h;const w=n.backend_util.getBroadcastDims(l.shape,m),k=n.backend_util.getBroadcastDims(d.shape,m),v=w.every((e,n)=>e===n),I=k.every((e,n)=>e===n);if(v&&I)return g(),h;throw new Error("Broadcasting along outer dims is not yet "+`supported for ${l.dtype} ${e}.`)}}}const f=p(n.Add,!0);let m;const h={kernelName:n.AddN,backendName:"wasm",setupFunc:function(e){m=e.wasm.cwrap(n.AddN,null,["array","number","number","number"])},kernelFunc:function(e){const{inputs:t,backend:r}=e,a=r.makeOutput(t[0].shape,t[0].dtype);if(0===n.util.sizeFromShape(a.shape))return a;const u=t.map(e=>r.dataIdMap.get(e.dataId).id),i=new Uint8Array(new Int32Array(u).buffer),o=r.dataIdMap.get(a.dataId).id;return m(i,u.length,s[a.dtype],o),a}};function _(e){const{inputs:{x:n},backend:t}=e,r=t.makeOutput(n.shape,n.dtype),a=t.typedArrayFromHeap(n);return t.typedArrayFromHeap(r).set(a),r}const b={kernelName:n.Identity,backendName:"wasm",kernelFunc:_};let y;function g(e){const{inputs:n,backend:t,attrs:r}=e,[a,u]=function(e,n){const t=[],r=[];for(let a=0;a<e.length;++a)1!==e[a]&&t.push(e[a]),1!==e[n[a]]&&r.push(n[a]);for(let e=0;e<r.length;++e){let n=-1;for(let t=0;t<r.length;++t)r[t]>=e&&(-1===n||r[n]>r[t])&&(n=t);r[n]=e}return[t,r]}(n.x.shape,r.perm);let i=!0;for(let e=0;e<u.length;e++)u[e]!==e&&(i=!1);const o=function(e,n){const t=new Array(e.length);for(let r=0;r<t.length;r++)t[r]=e[n[r]];return t}(n.x.shape,r.perm),l={dataId:n.x.dataId,shape:a,dtype:n.x.dtype};if(i){const e=_({inputs:n,backend:t});return e.shape=o,e}const d=t.makeOutput(o,l.dtype),c=t.dataIdMap.get(l.dataId).id,p=t.dataIdMap.get(d.dataId).id,f=new Uint8Array(new Int32Array(u).buffer),m=new Uint8Array(new Int32Array(l.shape).buffer);return y(c,m,l.shape.length,s[l.dtype],p,f,u.length),d}const w={kernelName:n.Transpose,backendName:"wasm",kernelFunc:g,setupFunc:function(e){y=e.wasm.cwrap(n.Transpose,null,["number","array","number","number","number","array","number"])}};function k(e,t,r){const a=e.shape,u=e.shape.length,s=n.util.parseAxisParam(t,a);let i=s;const o=n.backend_util.getAxesPermutation(i,u);let l=null,d=!1;if(null!=o){const t=new Array(u);for(let e=0;e<t.length;e++)t[e]=a[o[e]];i=n.backend_util.getInnerMostAxes(i.length,u),l=g({inputs:{x:e},attrs:{perm:o},backend:r});const s=r.dataIdMap.get(e.dataId).id;r.dataIdMap.get(l.dataId).id!==s&&(d=!0)}return{transposed:l,originalAxes:s,axes:i,inputWasTransposed:d}}let v;const I={kernelName:n.ArgMax,backendName:"wasm",kernelFunc:function(e){const{backend:t,inputs:r,attrs:a}=e,{axis:u}=a,{x:i}=r,o=t.dataIdMap.get(i.dataId).id;let l=o,d=i;const{transposed:c,axes:p,inputWasTransposed:f}=k(i,u,t);if(f){const e=t.dataIdMap.get(c.dataId).id;e!==o&&(d=c,l=e)}const m=d.shape.slice(0,-1),h=t.makeOutput(m,"int32"),_=t.dataIdMap.get(h.dataId).id,b=n.util.sizeFromShape(h.shape),y=d.shape[p[0]];return v(l,s[d.dtype],b,y,_),f&&t.disposeData(c.dataId),h},setupFunc:function(e){v=e.wasm.cwrap(n.ArgMax,null,["number","number","number","number","number"])}};let E;const S={kernelName:n.AvgPool,backendName:"wasm",setupFunc:function(e){E=e.wasm.cwrap(n.AvgPool,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number"])},kernelFunc:function(e){const{inputs:t,attrs:r,backend:a}=e,u=t.x,s=a.dataIdMap.get(u.dataId).id,{filterSize:i,strides:o,pad:l,dimRoundingMode:d}=r,c=n.backend_util.computePool2DInfo(u.shape,i,o,1,l,d),p=c.filterHeight,f=c.filterWidth,m=c.padInfo.top,h=c.padInfo.right,_=c.padInfo.bottom,b=c.padInfo.left,y=c.strideHeight,g=c.strideWidth,w=c.inChannels;if("channelsLast"!==c.dataFormat)throw new Error("wasm backend does not support dataFormat:'"+`${c.dataFormat}'. Please use 'channelsLast'.`);if(1!==c.dilationWidth||1!==c.dilationHeight)throw new Error("was backend only supports average pooling with dilation = [1, 1], "+`got [${c.dilationHeight}, ${c.dilationWidth}].`);const k=a.makeOutput(c.outShape,"float32"),v=a.dataIdMap.get(k.dataId).id;return E(s,u.shape[0],u.shape[1],u.shape[2],p,f,m,h,_,b,y,g,w,v),k}};let A;const M={kernelName:n.BatchMatMul,backendName:"wasm",setupFunc:function(e){A=e.wasm.cwrap(n.BatchMatMul,null,["number","array","number","number","array","number","number","number","number"])},kernelFunc:function(e){const{inputs:n,backend:t,attrs:r}=e,{a:a,b:u}=n;if("float32"!==a.dtype||"float32"!==u.dtype)throw new Error("BatchMatMul for non non-float32 tensors not yet supported.");const{transposeA:s,transposeB:i}=r,o=t.dataIdMap.get(a.dataId).id,l=t.dataIdMap.get(u.dataId).id,d=s?a.shape[2]:a.shape[1],c=i?u.shape[1]:u.shape[2],p=a.shape[0],f=t.makeOutput([p,d,c],a.dtype),m=t.dataIdMap.get(f.dataId).id,h=new Uint8Array(new Int32Array(a.shape).buffer),_=new Uint8Array(new Int32Array(u.shape).buffer);return A(o,h,a.shape.length,l,_,u.shape.length,s,i,m),f}};function x(e){const{inputs:{x:n},attrs:{dtype:t},backend:r}=e,a=r.makeOutput(n.shape,t),u=r.typedArrayFromHeap(n);return r.typedArrayFromHeap(a).set(u),a}const N={kernelName:n.Cast,backendName:"wasm",kernelFunc:x};let T;const F={kernelName:n.ClipByValue,backendName:"wasm",setupFunc:function(e){T=e.wasm.cwrap(n.ClipByValue,null,["number","number","number","number"])},kernelFunc:function(e){const{inputs:n,backend:t,attrs:r}=e,{x:a}=n,{clipValueMin:u,clipValueMax:s}=r,i=t.dataIdMap.get(a.dataId).id,o=t.makeOutput(a.shape,a.dtype),l=t.dataIdMap.get(o.dataId).id;return T(i,u,s,l),o}};const O={kernelName:n.Concat,backendName:"wasm",kernelFunc:function(e){const{inputs:t,backend:r}=e,a=n.util.parseAxisParam(e.attrs.axis,t[0].shape)[0],u=n.backend_util.computeOutShape(t.map(e=>e.shape),a),s=r.makeOutput(u,t[0].dtype);if(0===n.util.sizeFromShape(u))return s;const i=t.filter(e=>n.util.sizeFromShape(e.shape)>0);if(1===i.length)return i[0];const o=i.map(e=>e.shape);n.backend_util.assertParamsConsistent(o,a);const l=n.util.sizeFromShape(i[0].shape.slice(0,a));let d=0;const c=i.map(e=>{const t=n.util.sizeFromShape(e.shape.slice(a));return d+=t,t}),p=i.map(e=>r.typedArrayFromHeap(e)),f=r.typedArrayFromHeap(s);for(let e=0;e<l;e++){let n=e*d;for(let t=0;t<p.length;t++){const r=c[t],a=e*r,u=p[t].subarray(a,a+r);f.set(u,n),n+=r}}return s}};let C;const R={kernelName:n.Conv2D,backendName:"wasm",setupFunc:function(e){C=e.wasm.cwrap(n.Conv2D,null,["number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number","number"])},kernelFunc:function(e){const{inputs:t,attrs:r,backend:a}=e,{x:u,filter:s}=t,i=a.dataIdMap.get(u.dataId).id,o=a.dataIdMap.get(s.dataId).id,{strides:l,dilations:d,pad:c,dimRoundingMode:p,dataFormat:f}=r,m=n.backend_util.convertConv2DDataFormat(f),h=n.backend_util.computeConv2DInfo(u.shape,s.shape,l,d,c,p,!1,m),_=h.filterHeight,b=h.filterWidth,y=h.padInfo.top,g=h.padInfo.right,w=h.padInfo.bottom,k=h.padInfo.left,v=h.dilationHeight,I=h.dilationWidth,E=h.strideHeight,S=h.strideWidth,A=h.inChannels,M=h.outChannels,x="SAME"===h.padInfo.type?1:0;if("channelsLast"!==h.dataFormat)throw new Error("wasm backend Conv2D does not support dataFormat:'"+`${h.dataFormat}'. 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s=n.util.sizeFromShape(r),i=s*n.util.bytesPerElement(a),o=this.wasm._malloc(i);this.dataIdMap.set(e,{id:u,memoryOffset:o,shape:r,dtype:a}),this.wasm.tfjs.registerTensor(u,s,o),null!=t&&this.wasm.HEAPU8.set(new Uint8Array(t.buffer,t.byteOffset,i),o)}async read(e){return this.readSync(e)}readSync(e){const{memoryOffset:t,dtype:r,shape:a,stringBytes:u}=this.dataIdMap.get(e);return"string"===r?u:function(e,n){switch(n){case"float32":return new Float32Array(e);case"int32":return new Int32Array(e);case"bool":return new Uint8Array(e);default:throw new Error(`Unknown dtype ${n}`)}}(this.wasm.HEAPU8.slice(t,t+n.util.sizeFromShape(a)*n.util.bytesPerElement(r)).buffer,r)}disposeData(e){const n=this.dataIdMap.get(e);this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(e)}floatPrecision(){return 32}getMemoryOffset(e){return this.dataIdMap.get(e).memoryOffset}dispose(){this.wasm.tfjs.dispose(),this.wasm=null}memory(){return{unreliable:!1}}makeOutput(e,t,r){let a;if(null==r)a=this.write(null,e,t);else{a={};const u=this.dataIdNextNumber++;this.dataIdMap.set(a,{id:u,memoryOffset:r,shape:e,dtype:t});const s=n.util.sizeFromShape(e);this.wasm.tfjs.registerTensor(u,s,r)}return{dataId:a,shape:e,dtype:t}}typedArrayFromHeap({shape:e,dtype:t,dataId:r}){const a=this.wasm.HEAPU8.buffer,{memoryOffset:u}=this.dataIdMap.get(r),s=n.util.sizeFromShape(e);switch(t){case"float32":return new Float32Array(a,u,s);case"int32":return new Int32Array(a,u,s);case"bool":return new Uint8Array(a,u,s);default:throw new Error(`Unknown dtype ${t}`)}}}function Ee(e,n,t){if(null!=Ae)return Ae;let r="tfjs-backend-wasm.wasm";return e&&n?r="tfjs-backend-wasm-threaded-simd.wasm":e&&(r="tfjs-backend-wasm-simd.wasm"),null!=xe&&null!=xe[r]?xe[r]:t+r}n.registerBackend("wasm",async()=>{const{wasm:e}=await async function(){const[e,t]=await Promise.all([n.env().getAsync("WASM_HAS_SIMD_SUPPORT"),n.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT")]);return new Promise((r,a)=>{const u={};let s;u.locateFile=(n,r)=>{if(n.endsWith(".worker.js")){const e=new Blob([ke],{type:"application/javascript"});return URL.createObjectURL(e)}return n.endsWith(".wasm")?Ee(e,t,null!=Me?Me:r):r+n},Te&&(u.instantiateWasm=function(e){return(t,r)=>(n.util.fetch(e,{credentials:"same-origin"}).then(n=>{n.ok||t.env.a(`failed to load wasm binary file at '${e}'`),n.arrayBuffer().then(e=>{WebAssembly.instantiate(e,t).then(e=>{r(e.instance)})})}),{})}(Ee(e,t,null!=Me?Me:""))),t&&e&&null==Ae?(s=we(u),s.mainScriptUrlOrBlob=new Blob(["var _scriptDir = undefined; var WasmBackendModuleThreadedSimd = "+we.toString()],{type:"text/javascript"})):s=ve(u);s.tfjs={init:s.cwrap("init",null,[]),registerTensor:s.cwrap("register_tensor",null,["number","number","number"]),disposeData:s.cwrap("dispose_data",null,["number"]),dispose:s.cwrap("dispose",null,[])};let i=!1;s.onRuntimeInitialized=()=>{i=!0,Ne=!1,r({wasm:s})},s.onAbort=()=>{if(i)return;if(Ne)return;Ne=!0;a({message:"Make sure the server can serve the `.wasm` file relative to the bundled js file. For more details see https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/README.md#using-bundlers"})}})}();return new Ie(e)},2);const Se=["tfjs-backend-wasm.wasm","tfjs-backend-wasm-simd.wasm","tfjs-backend-wasm-threaded-simd.wasm"];let Ae=null,Me=null,xe={},Ne=!1,Te=!1;e.BackendWasm=Ie,e.setWasmPath=function(e,t=!1){if(n.deprecationWarn("setWasmPath has been deprecated in favor of setWasmPaths and will be removed in a future release."),Ne)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPath()` before you call `tf.setBackend()` or `tf.ready()`");Ae=e,Te=t},e.setWasmPaths=function(e,n=!1){if(Ne)throw new Error("The WASM backend was already initialized. Make sure you call `setWasmPaths()` before you call `tf.setBackend()` or `tf.ready()`");if("string"==typeof e)Me=e;else{xe=e;const n=Se.filter(e=>null==xe[e]);if(n.length>0)throw new Error("There were no entries found for the following binaries: "+`${n.join(",")}. Please either call setWasmPaths with a `+"map providing a path for each binary, or with a string indicating the directory where all the binaries can be found.")}Te=n},e.version_wasm="2.6.0",Object.defineProperty(e,"__esModule",{value:!0})}));
//# sourceMappingURL=tf-backend-wasm.min.js.map
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