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e?t:e}function a(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function, not "+typeof e);t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}),e&&(Object.setPrototypeOf?Object.setPrototypeOf(t,e):t.__proto__=e)}Object.defineProperty(e,"__esModule",{value:!0});var s=function(){function t(t,e){for(var r=0;r0&&void 0!==arguments[0]?arguments[0]:{};o(this,e);var r=i(this,(e.__proto__||Object.getPrototypeOf(e)).call(this,t));r.layerClass="Convolution1D";var n=t.nbFilter,a=void 0===n?1:n,s=t.filterLength,u=void 0===s?1:s,c=t.activation,l=void 0===c?"linear":c,p=t.borderMode,h=void 0===p?"valid":p,d=t.subsampleLength,v=void 0===d?1:d,y=t.bias,g=void 0===y||y;if("valid"!==h&&"same"!==h)throw new Error(r.name+" [Convolution1D layer] Invalid borderMode.");r.params=r.bias?["W","b"]:["W"];var _={nbFilter:a,nbRow:u,nbCol:1,activation:l,borderMode:h,subsample:[v,1],dimOrdering:"th",bias:g};return r._conv2d=new f.default(Object.assign(_,{gpu:t.gpu})),r}return a(e,t),s(e,[{key:"setWeights",value:function(t){this._conv2d.setWeights(t)}},{key:"call",value:function(t){t.tensor=(0,v.default)(t.tensor).transpose(1,0,2);var e=this._conv2d.call(t);return t.tensor=(0,h.default)(e.tensor).transpose(1,0,2),t}}]),e}(c.default);e.default=y},function(t,e,r){"use strict";function n(t){return t&&t.__esModule?t:{default:t}}function o(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r]);return e.default=t,e}function i(t,e){if(!(t instanceof e))throw new TypeError("Cannot call a class as a function")}function a(t,e){if(!t)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return!e||"object"!=typeof e&&"function"!=typeof e?t:e}function s(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function, not "+typeof e);t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}),e&&(Object.setPrototypeOf?Object.setPrototypeOf(t,e):t.__proto__=e)}Object.defineProperty(e,"__esModule",{value:!0});var u=function(){function t(t,e){var r=[],n=!0,o=!1,i=void 0;try{for(var a,s=t[Symbol.iterator]();!(n=(a=s.next()).done)&&(r.push(a.value),!e||r.length!==e);n=!0);}catch(t){o=!0,i=t}finally{try{!n&&s.return&&s.return()}finally{if(o)throw i}}return r}return function(e,r){if(Array.isArray(e))return e;if(Symbol.iterator in Object(e))return t(e,r);throw new TypeError("Invalid attempt to destructure non-iterable instance")}}(),c=function(){function t(t,e){for(var r=0;r0&&void 0!==arguments[0]?arguments[0]:{};i(this,e);var r=a(this,(e.__proto__||Object.getPrototypeOf(e)).call(this,t));r.layerClass="Convolution3D";var n=t.nbFilter,o=void 0===n?1:n,s=t.kernelDim1,u=void 0===s?1:s,c=t.kernelDim2,l=void 0===c?1:c,f=t.kernelDim3,h=void 0===f?1:f,d=t.activation,v=void 0===d?"linear":d,y=t.borderMode,g=void 0===y?"valid":y,_=t.subsample,b=void 0===_?[1,1,1]:_,m=t.dimOrdering,w=void 0===m?"tf":m,x=t.bias,O=void 0===x||x;if(r.kernelShape=[o,u,l,h],r.activation=p[v],"valid"!==g&&"same"!==g)throw new Error(r.name+" [Convolution3D layer] Invalid borderMode.");if(r.borderMode=g,r.subsample=b,"tf"!==w&&"th"!==w)throw new Error(r.name+" [Convolution3D 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 s(e,t),c(e,[{key:"setWeights",value:function(t){"th"===this.dimOrdering&&(t[0].tensor=t[0].tensor.transpose(2,3,4,1,0)),l(e.prototype.__proto__||Object.getPrototypeOf(e.prototype),"setWeights",this).call(this,t),this._wRowsMat=this._w2row(),this._useWeblas&&(this._wRowsMat.createWeblasTensor(),this._wRowsMat.weblasTensor=this._wRowsMat.weblasTensor.transpose(),this.bias?this.weights.b.createWeblasTensor():(this._zerosVec=new d.default([],[this.weights.W.tensor.shape[4]]),this._zerosVec.createWeblasTensor()))}},{key:"_calcOutputShape",value:function(t){var e=t.tensor.shape[0],r=t.tensor.shape[1],n=t.tensor.shape[2],o=u(this.kernelShape,4),i=o[0],a=o[1],s=o[2],c=o[3],l="same"===this.borderMode?Math.floor((e+this.subsample[0]-1)/this.subsample[0]):Math.floor((e-a+this.subsample[0])/this.subsample[0]),f="same"===this.borderMode?Math.floor((r+this.subsample[1]-1)/this.subsample[1]):Math.floor((r-s+this.subsample[1])/this.subsample[1]),p="same"===this.borderMode?Math.floor((n+this.subsample[2]-1)/this.subsample[2]):Math.floor((n-c+this.subsample[2])/this.subsample[2]),h=i,d="same"===this.borderMode?Math.max(0,Math.floor((l-1)*this.subsample[0]+a-e)):0,v="same"===this.borderMode?Math.max(0,Math.floor((f-1)*this.subsample[1]+s-r)):0,y="same"===this.borderMode?Math.max(0,Math.floor((p-1)*this.subsample[2]+c-n)):0,g=Math.floor(d/2),_=d-g,b=Math.floor(v/2),m=v-b,w=Math.floor(y/2),x=y-w;this.outputShape=[l,f,p,h],this.inputPadding=[g,_,b,m,w,x]}},{key:"_padInput",value:function(t){if("same"===this.borderMode){var e=u(t.tensor.shape,4),r=e[0],n=e[1],o=e[2],i=e[3],a=u(this.inputPadding,6),s=a[0],c=a[1],l=a[2],f=a[3],p=a[4],h=a[5],v=r+s+c,y=n+l+f,g=o+p+h,b=new d.default([],[v,y,g,i]);_.default.assign(b.tensor.hi(r+s,n+l,o+p,i).lo(s,l,p,0),t.tensor),t.tensor=b.tensor}return t}},{key:"_vol2col",value:function(t){var e=u(t.tensor.shape,4),r=e[0],n=e[1],o=e[2],i=e[3],a=this.kernelShape[1],s=this.kernelShape[2],c=this.kernelShape[3],l=this.outputShape[0],f=this.outputShape[1],p=this.outputShape[2],h=l*f*p,v=a*s*c*i;if(this._volColsMat||(this._volColsMat=new d.default([],[h,v])),1===a&&1===s&&1===c&&1===this.subsample[0]&&1===this.subsample[1]&&1===this.subsample[2])return this._volColsMat.replaceTensorData(t.tensor.data),this._useWeblas&&this._volColsMat.createWeblasTensor(),this._volColsMat;for(var y=new d.default([],[a,s,c,i]),g=0,b=0,m=r-a;b<=m;b+=this.subsample[0])for(var w=0,x=n-s;w<=x;w+=this.subsample[1])for(var O=0,j=o-c;O<=j;O+=this.subsample[2])_.default.assign(y.tensor,t.tensor.hi(b+a,w+s,O+c,i).lo(b,w,O,0)),this._volColsMat.tensor.data.set(y.tensor.data,g),g+=v;return this._useWeblas&&this._volColsMat.createWeblasTensor(),this._volColsMat}},{key:"_w2row",value:function(){for(var t=this.weights.W.tensor.shape[3],e=u(this.kernelShape,4),r=e[0],n=e[1],o=e[2],i=e[3],a=n*o*i*t,s=new d.default([],[a,r]),c=new d.default([],[n,o,i,t]),l=new d.default([],[a]),f=0;f0&&void 0!==arguments[0]?arguments[0]:{};i(this,e);var r=a(this,(e.__proto__||Object.getPrototypeOf(e)).call(this,t));r.layerClass="Deconvolution2D";var n=t.nbFilter,o=void 0===n?1:n,s=t.nbRow,u=void 0===s?1:s,c=t.nbCol,l=void 0===c?1:c,f=t.outputShape,h=void 0===f?[]:f,d=t.activation,v=void 0===d?"linear":d,y=t.borderMode,g=void 0===y?"valid":y,_=t.subsample,b=void 0===_?[1,1]:_,m=t.dimOrdering,w=void 0===m?"tf":m,x=t.bias,O=void 0===x||x;if(r.kernelShape=[o,u,l],null==h[0]?r.outputShape=h.slice(1):r.outputShape=h,r.activation=p[v],"valid"!==g&&"same"!==g)throw new Error(r.name+" [Deconvolution2D layer] Invalid borderMode.");if(r.borderMode=g,r.subsample=b,"tf"!==w&&"th"!==w)throw 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 s(e,t),c(e,[{key:"setWeights",value:function(t){"th"===this.dimOrdering&&(t[0].tensor=t[0].tensor.transpose(2,3,1,0)),l(e.prototype.__proto__||Object.getPrototypeOf(e.prototype),"setWeights",this).call(this,t),this._wRowsMat=this._w2row(),this._useWeblas&&(this._wRowsMat.createWeblasTensor(),this._wRowsMat.weblasTensor=this._wRowsMat.weblasTensor.transpose())}},{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],s="same"===this.borderMode?Math.max(0,Math.floor((e-1)*this.subsample[0]+n-i)):0,u="same"===this.borderMode?Math.max(0,Math.floor((r-1)*this.subsample[1]+o-a)):0,c=Math.floor(s/2),l=s-c,f=Math.floor(u/2),p=u-f;this.outputPadding=[c,l,f,p]}},{key:"_im2col",value:function(t){for(var e=u(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]),s=new d.default([],[r,n]),c=0;c0&&void 0!==arguments[0]?arguments[0]:{};return i(this,e),a(this,(e.__proto__||Object.getPrototypeOf(e)).call(this,t))}return s(e,t),c(e,[{key:"_im2col",value:function(t){var e=u(t.tensor.shape,3),r=e[0],n=e[1],o=e[2],i=this.kernelShape[1],a=this.kernelShape[2],s=this.outputShape[0],c=this.outputShape[1],l=s*c,f=i*a;this._imColsMat||(this._imColsMat=new h.default([],[l*o,f]));for(var p=new h.default([],[i,a,1]),d=0,v=0;v0&&void 0!==arguments[0]?arguments[0]:{};i(this,e);var r=a(this,(e.__proto__||Object.getPrototypeOf(e)).call(this,t));r.layerClass="SeparableConvolution2D";var n=t.nbFilter,o=void 0===n?1:n,s=t.nbRow,u=void 0===s?1:s,c=t.nbCol,l=void 0===c?1:c,p=t.activation,h=void 0===p?"linear":p,d=t.borderMode,v=void 0===d?"valid":d,y=t.subsample,g=void 0===y?[1,1]:y,_=t.depthMultiplier,b=void 0===_?1:_,m=t.dimOrdering,w=void 0===m?"tf":m,x=t.bias,O=void 0===x||x;if(r.activation=f[h],"valid"!==v&&"same"!==v)throw new Error(r.name+" [SeparableConvolution2D layer] Invalid borderMode.");if(r.borderMode=v,r.subsample=g,r.depthMultiplier=b,"tf"!==w&&"th"!==w)throw new Error(r.name+" [SeparableConvolution2D layer] Only tf and th dim ordering are allowed.");return r.dimOrdering=w,r.bias=O,r.params=r.bias?["depthwise_kernel","pointwise_kernel","b"]:["depthwise_kernel","pointwise_kernel"],r.depthwiseConvAttrs={nbFilter:r.depthMultiplier,nbRow:u,nbCol:l,activation:"linear", 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e=t.tensor.shape,r=[e[0]+2*this.padding,e[1]],n=new f.default([],r);return h.default.assign(n.tensor.hi(e[0]+this.padding,e[1]).lo(this.padding,0),t.tensor),t.tensor=n.tensor,t}}]),e}(c.default);e.default=d},function(t,e,r){"use strict";function n(t){return t&&t.__esModule?t:{default:t}}function o(t,e){if(!(t instanceof e))throw new TypeError("Cannot call a class as a function")}function i(t,e){if(!t)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return!e||"object"!=typeof e&&"function"!=typeof e?t:e}function a(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function, not "+typeof e);t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}),e&&(Object.setPrototypeOf?Object.setPrototypeOf(t,e):t.__proto__=e)}Object.defineProperty(e,"__esModule",{value:!0});var s=function(){function t(t,e){for(var r=0;r0&&void 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e=u(t.tensor.shape,4),r=e[0],n=e[1],o=e[2],i=e[3],a=u(this.inputPadding,6),s=a[0],c=a[1],l=a[2],f=a[3],p=a[4],h=a[5],v=r+s+c,y=n+l+f,g=o+p+h,b=new d.default([],[v,y,g,i]);_.default.assign(b.tensor.hi(r+s,n+l,o+p,i).lo(s,l,p,0),t.tensor),t.tensor=b.tensor}return t}},{key:"_vol2col",value:function(t){var e=u(t.tensor.shape,4),r=e[0],n=e[1],o=e[2],i=e[3],a=this.kernelShape[1],s=this.kernelShape[2],c=this.kernelShape[3],l=this.outputShape[0],f=this.outputShape[1],p=this.outputShape[2],h=l*f*p,v=a*s*c*i;if(this._volColsMat||(this._volColsMat=new d.default([],[h,v])),1===a&&1===s&&1===c&&1===this.subsample[0]&&1===this.subsample[1]&&1===this.subsample[2])return this._volColsMat.replaceTensorData(t.tensor.data),this._useWeblas&&this._volColsMat.createWeblasTensor(),this._volColsMat;for(var y=new d.default([],[a,s,c,i]),g=0,b=0,m=r-a;b<=m;b+=this.subsample[0])for(var w=0,x=n-s;w<=x;w+=this.subsample[1])for(var 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