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keras-js/dist/keras.min.js
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Leon Chen 69a83e08e9 production library build
2016-09-30 22:45:58 -04:00

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e=s(t.tensor.shape,4),r=e[0],n=e[1],o=e[2],i=e[3],a=s(this.inputPadding,6),u=a[0],c=a[1],f=a[2],l=a[3],p=a[4],h=a[5],v=r+u+c,y=n+f+l,g=o+p+h,m=new d.default([],[v,y,g,i]);b.default.assign(m.tensor.hi(r+u,n+f,o+p,i).lo(u,f,p,0),t.tensor),t.tensor=m.tensor}return t}},{key:"_vol2col",value:function(t){for(var e=s(t.tensor.shape,4),r=e[0],n=e[1],o=e[2],i=e[3],a=this.kernelShape[1],u=this.kernelShape[2],c=this.kernelShape[3],f=this.outputShape[0],l=this.outputShape[1],p=this.outputShape[2],h=f*l*p,v=a*u*c*i,y=new d.default([],[h,v]),g=new d.default([],[v]),m=0,_=0,w=r-a;_<=w;_+=this.subsample[0])for(var O=0,S=n-u;O<=S;O+=this.subsample[1])for(var E=0,P=o-c;E<=P;E+=this.subsample[2]){var k=(0,j.default)((0,x.default)(t.tensor.hi(_+a,O+u,E+c,i).lo(_,O,E,0)));g.replaceTensorData(k),b.default.assign(y.tensor.pick(m,null),g.tensor),m+=1}return y}},{key:"_w2row",value:function(t){for(var e=t.tensor.shape[3],r=s(this.kernelShape,4),n=r[0],o=r[1],i=r[2],a=r[3],u=o*i*a*e,c=new d.default([],[u,n]),f=new d.default([],[u]),l=0;l<n;l++){var p=(0,j.default)((0,x.default)(this.weights.W.tensor.pick(null,null,null,null,l)));f.replaceTensorData(p),b.default.assign(c.tensor.pick(null,l),f.tensor)}return c}},{key:"call",value:function(t){"th"===this.dimOrdering&&(t.tensor=t.tensor.transpose(1,2,3,0)),this._calcOutputShape(t),this._padInput(t);var e=this._vol2col(t),r=this._w2row(t),n=this.kernelShape[0],o=this.outputShape[0],i=this.outputShape[1],a=this.outputShape[2],u=o*i*a,s=new d.default([],[u,n]);if(this.bias)for(var c=0;c<n;c++)b.default.assigns(s.tensor.pick(null,c),this.weights.b.tensor.get(c));if(t._useWeblas){var f=this.bias?this.weights.b.tensor.data:new Float32Array(r.tensor.shape[1]);s.tensor.data=weblas.sgemm(e.tensor.shape[0],r.tensor.shape[1],e.tensor.shape[1],1,e.tensor.data,r.tensor.data,1,f)}else(0,_.default)(s.tensor,e.tensor,r.tensor,1,1);for(var l=new d.default([],this.outputShape),p=new d.default([],[o,i,a]),h=0;h<n;h++){var 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new Error(r.name+" [Deconvolution2D layer] Only tf and th dim ordering are allowed.");return r.dimOrdering=w,r.bias=O,r.params=r.bias?["W","b"]:["W"],r}return u(e,t),c(e,[{key:"setWeights",value:function(t){"th"===this.dimOrdering&&(t[0].tensor=t[0].tensor.transpose(2,3,1,0)),f(e.prototype.__proto__||Object.getPrototypeOf(e.prototype),"setWeights",this).call(this,t)}},{key:"_calcOutputPadding",value:function(t){var e=t.tensor.shape[0],r=t.tensor.shape[1],n=this.kernelShape[1],o=this.kernelShape[2],i=this.outputShape[0],a=this.outputShape[1],u="same"===this.borderMode?Math.max(0,Math.floor((e-1)*this.subsample[0]+n-i)):0,s="same"===this.borderMode?Math.max(0,Math.floor((r-1)*this.subsample[1]+o-a)):0,c=Math.floor(u/2),f=u-c,l=Math.floor(s/2),p=s-l;this.outputPadding=[c,f,l,p]}},{key:"_im2col",value:function(t){for(var e=s(t.tensor.shape,3),r=e[0],n=e[1],o=e[2],i=new d.default([],[r*n,o]),a=new d.default([],[r*n]),u=0;u<o;u++){var 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