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e,n,r=this;return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return e=this,t.next=3,this.fetchModel();case 3:if(n=this.data=t.sent,this.chunkNum=n.chunkNum,!0!==this.multipart){t.next=13;break}if("binary"!==this.dataType){t.next=11;break}return t.next=9,this.fetchChunks().then((function(){return r.traverse(n.vars)}));case 9:t.next=13;break;case 11:return t.next=13,e.fetchAllData(n.vars);case 13:return t.abrupt("return",n);case 14:case"end":return t.stop()}}),t,this)}))),function(){return e.apply(this,arguments)})}]),t}(),I=n(6),x=n.n(I),v=function(){function t(e){l()(this,t),this.inputs=e.inputs,this.outputs=e.outputs,this.attrs=e.attrs||e["sub-attrs"],this.type=e.type,this.finish=!1,this.next=null,this.opData=null,this.id=+new Date+e.type+Math.floor(10*Math.random()+1)+e.idx}return h()(t,[{key:"execute",value:function(t,e){"feed"!==this.type?t.run(this.type,this.opData,e):+Date.now()}},{key:"inputsName",get:function(){if("feed"===this.type)return this.inputs.X;if("batchnorm"===this.type||"batch_norm"===this.type)return this.inputs.X;if("conv2d"===this.type)return this.inputs.Input;if("depthwise_conv2d"===this.type)return this.inputs.Input;if("conv2d_transpose"===this.type)return this.inputs.Input;if("elementwise_add"===this.type)return this.inputs.X.concat(this.inputs.Y);if("concat"===this.type)return this.inputs.X.concat(this.inputs.Y||[]);if("relu"===this.type||"leaky_relu"===this.type)return this.inputs.X;if("pool2d"===this.type)return this.inputs.X;if("mul"===this.type)return this.inputs.X;if("softmax"===this.type)return this.inputs.X;if("scale"===this.type)return this.inputs.X;if("fetch"===this.type)return this.inputs.X;if("box_coder"===this.type){var t=this.inputs,e=t.PriorBox,n=t.PriorBoxVar,r=t.TargetBox;return[].concat(x()(e),x()(n),x()(r))}if("prior_box"===this.type)return this.inputs.Input.concat(this.inputs.Image);if("connect"===this.type){var o=this.inputs,i=o.X,a=void 0===i?[]:i,s=o.Y,u=void 0===s?[]:s,c=o.Z,l=void 0===c?[]:c;return[].concat(x()(a),x()(u),x()(l))}return this.inputs.Input||this.inputs.X}},{key:"outputsName",get:function(){if(this.outputs.Output)return this.outputs.Output;if(this.outputs.out)return this.outputs.out;if("conv2d"===this.type)return this.outputs.Output;if("depthwise_conv2d"===this.type)return this.outputs.Output;if("box_coder"===this.type)return this.outputs.out=this.outputs.OutputBox,delete this.outputs.OutputBox,this.outputs.out;if("prior_box"===this.type){var t=this.outputs,e=t.Boxes,n=t.Variances;return this.outputs.out=[e[0],n[0]],delete this.outputs.Boxes,delete this.outputs.Variances,this.outputs.out}return"batchnorm"===this.type||"batch_norm"===this.type?(this.outputs.out=this.outputs.Y,delete this.outputs.Y,this.outputs.out):this.outputs.Y?(this.outpus.out=this.outputs.Y,this.outputs.out):this.outputs.Out||this.outputs.Output}}]),t}(),R={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0},H=function(){function t(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};l()(this,t),this.version=2,this.opts=e,this.frameBufferSupportFloat=!0,this.isFloatTextureReadPixelsEnabled=!0,e.width_raw_canvas=Number(e.width_raw_canvas)||512,e.height_raw_canvas=Number(e.height_raw_canvas)||512;var n=null;if(this.opts.gl)n=this.opts.gl,this.version=1,this.internalFormat=n.RGBA,this.textureFormat=n.RGBA,this.downloadInternalFormat=n.RGBA,this.textureFloat=n.getExtension("OES_texture_float"),this.textureHalfFloat=n.getExtension("OES_texture_half_float"),this.frameBufferSupportFloat=this.isDownloadFloatTextureEnabled(n),this.isFloatTextureReadPixelsEnabled=this.isFloatTextureReadPixelsEnabledMethod(n,1);else{var r=T.a.env().canvas||e.el||document.createElement("canvas");!T.a.env().canvas&&r.addEventListener("webglcontextlost",(function(t){t.preventDefault(),console.log("webgl context is lost~")}),!1),(n=r.getContext("webgl2",R))?(this.version=2,this.textureFloat=n.getExtension("EXT_color_buffer_float"),this.internalFormat=n.R16F,this.textureFormat=n.RED,this.downloadInternalFormat=n.RGBA16F):(n=r.getContext("webgl",R)||r.getContext("experimental-webgl",R),this.version=1,this.internalFormat=n.RGBA,this.textureFormat=n.RGBA,this.downloadInternalFormat=n.RGBA,n?(this.textureFloat=n.getExtension("OES_texture_float"),this.textureHalfFloat=n.getExtension("OES_texture_half_float"),this.frameBufferSupportFloat=this.isDownloadFloatTextureEnabled(n),this.isFloatTextureReadPixelsEnabled=this.isFloatTextureReadPixelsEnabledMethod(n,1)):(this.version=0,alert("当前环境创建webgl context失败")))}this.maxTextureSize=n.getParameter(n.MAX_TEXTURE_SIZE),this.maxTextureImageUnits=n.getParameter(n.MAX_TEXTURE_IMAGE_UNITS),n.disable(n.DEPTH_TEST),n.disable(n.STENCIL_TEST),n.disable(n.BLEND),n.disable(n.DITHER),n.disable(n.POLYGON_OFFSET_FILL),n.disable(n.SAMPLE_COVERAGE),n.enable(n.SCISSOR_TEST),n.enable(n.CULL_FACE),n.cullFace(n.BACK),this.gl=n,this.initCache(),this.waits=0}return h()(t,[{key:"getWebglVersion",value:function(){return this.version}},{key:"getWebglMaxTextureSize",value:function(){return this.maxTextureSize}},{key:"getWebglMaxTextureImageUnits",value:function(){return this.maxTextureImageUnits}},{key:"getIsFrameBufferSupportFloat",value:function(){return this.frameBufferSupportFloat}},{key:"getIsFloatTextureReadPixelsEnabled",value:function(){return this.isFloatTextureReadPixelsEnabled}},{key:"isFloatTextureReadPixelsEnabledMethod",value:function(t,e){if(0===e)return!1;if(1===e){if(null==t.getExtension("OES_texture_float"))return!1}else if(null==t.getExtension("EXT_color_buffer_float")||null==t.getExtension("EXT_color_buffer_half_float"))return!1;var n=t.createFramebuffer(),r=t.createTexture();t.bindTexture(t.TEXTURE_2D,r);var o=2===e?t.RGBA32F:t.RGBA;t.texImage2D(t.TEXTURE_2D,0,o,1,1,0,t.RGBA,this.textureHalfFloat.HALF_FLOAT_OES,null),t.bindFramebuffer(t.FRAMEBUFFER,n),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,r,0);var i=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;t.readPixels(0,0,1,1,t.RGBA,t.FLOAT,new Float32Array(4));var a=t.getError()===t.NO_ERROR;return i&&a}},{key:"initCache",value:function(){this.times=0;var t=this.gl,e=new Float32Array([-1,1,0,1,-1,-1,0,0,1,1,1,1,1,-1,1,0]);this.vertexBuffer=t.createBuffer(),t.bindBuffer(t.ARRAY_BUFFER,this.vertexBuffer),t.bufferData(t.ARRAY_BUFFER,e,t.STATIC_DRAW),this.vertexShader=null,this.initShader(2===this.version?"#version 300 es\nin vec4 position;\nout vec2 vCoord;\n\nvoid main() {\n    vCoord.x = (position.x + 1.0) / 2.0;\n    vCoord.y = (position.y + 1.0) / 2.0;\n    gl_Position = position;\n}\n":"\nprecision highp float;\nprecision highp int;\n\nattribute vec4 position;\nvarying vec2 vCoord;\n\nvoid main() {\n    vCoord.x = (position.x + 1.0) / 2.0;\n    vCoord.y = (position.y + 1.0) / 2.0;\n    gl_Position = position;\n}\n"),this.fragmentShader=null,this.prevTexture=null,this.currentTexture=null,this.frameBuffer=t.createFramebuffer(),t.bindFramebuffer(t.FRAMEBUFFER,this.frameBuffer),this.cacheTextures={},this.uniformLocations={},this.texturesMap={},this.pbo=t.createBuffer()}},{key:"runVertexShader",value:function(t){var e=this.gl,n=e.getAttribLocation(t,"position");e.enableVertexAttribArray(n),e.bindBuffer(e.ARRAY_BUFFER,this.vertexBuffer),e.vertexAttribPointer(n,2,e.FLOAT,!1,16,0)}},{key:"setOutProps",value:function(t){this.width_shape_out=t.width_shape||1,this.height_shape_out=t.height_shape||1,this.width_texture_out=t.width_texture||1,this.height_texture_out=t.height_texture||1,this.channel=t.channel||0,this.total_shape=t.total_shape||0}},{key:"isFloatingTexture",value:function(){return null!==this.textureFloat}},{key:"isDownloadFloatTextureEnabled",value:function(t){var e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);t.texImage2D(t.TEXTURE_2D,0,this.downloadInternalFormat,1,1,0,t.RGBA,t.FLOAT,null);var n=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,n),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0);var r=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(e),t.deleteFramebuffer(n),r}},{key:"createProgram",value:function(t,e,n){var r=this.gl,o=r.createProgram();r.attachShader(o,this.vertexShader),r.attachShader(o,t),r.linkProgram(o);var i=r.createTexture();return r.bindTexture(r.TEXTURE_2D,i),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MAG_FILTER,r.NEAREST),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MIN_FILTER,r.NEAREST),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE),r.texImage2D(r.TEXTURE_2D,0,this.downloadInternalFormat,e.width_texture,e.height_texture,0,r.RGBA,n?this.isFloatTextureReadPixelsEnabled?this.frameBufferSupportFloat?r.FLOAT:this.textureHalfFloat.HALF_FLOAT_OES:r.UNSIGNED_BYTE:this.frameBufferSupportFloat?r.FLOAT:this.textureHalfFloat.HALF_FLOAT_OES,null),r.bindTexture(r.TEXTURE_2D,null),this.texturesMap[e.tensorId]=i,o}},{key:"setProgram",value:function(t,e){this.gl.useProgram(t),this.program=t,e||this.runVertexShader(t)}},{key:"attachShader",value:function(t){var e=this.gl,n=this.program;this.textureBufferIndex=this.textureBufferIndex+1>=2?0:1,this.fragmentShader&&e.detachShader(n,this.fragmentShader),this.gl.attachShader(n,t),this.fragmentShader=t,e.linkProgram(n),0==this.times++&&(e.useProgram(n),this.runVertexShader())}},{key:"create",value:function(t,e){var n=this.gl;this.program&&this.dispose();var r=this.program=n.createProgram();this.initShader(t),this.fragmentShader=this.initShader(e,"fragment"),this.gl.attachShader(r,this.vertexShader),this.gl.attachShader(r,this.fragmentShader),n.linkProgram(r),n.useProgram(r);var o=n.getAttribLocation(r,"position");n.enableVertexAttribArray(o),n.bindBuffer(n.ARRAY_BUFFER,this.vertexBuffer),n.vertexAttribPointer(o,2,n.FLOAT,!1,16,0)}},{key:"initShader",value:function(t){var e,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"vertex",r="vertex"===n?this.gl.VERTEX_SHADER:this.gl.FRAGMENT_SHADER;if("vertex"===n&&this.vertexShader)e=this.vertexShader;else if(e=this.gl.createShader(r),"vertex"===n&&(this.vertexShader=e),this.gl.shaderSource(e,t),this.gl.compileShader(e),!this.gl.getShaderParameter(e,this.gl.COMPILE_STATUS))throw new Error("compile: "+this.gl.getShaderInfoLog(e));return e}},{key:"updateShader",value:function(t){return this.gl.useProgram(this.program),this.fragmentShader&&(this.gl.detachShader(this.program,this.fragmentShader),this.gl.deleteShader(this.fragmentShader),this.gl.deleteTexture(this.texture)),this.fragmentShader=this.initShader(t,"fragment"),!0}},{key:"attachFrameBuffer",value:function(t,e){this.prevTexture=this.currentTexture,this.currentTexture=this.texturesMap[e];var n=this.gl;return n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,this.currentTexture,0),n.viewport(0,0,this.width_texture_out,this.height_texture_out),n.scissor(0,0,this.width_texture_out,this.height_texture_out),this.frameBuffer}},{key:"frameBufferIsComplete",value:function(){var t,e,n,r=this.gl;switch(e=r.checkFramebufferStatus(r.FRAMEBUFFER)){case r.FRAMEBUFFER_COMPLETE:t="Framebuffer is complete.",n=!0;break;case r.FRAMEBUFFER_UNSUPPORTED:t="Framebuffer is unsupported",n=!1;break;case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:t="Framebuffer incomplete attachment",n=!1;break;case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:t="Framebuffer incomplete (missmatched) dimensions",n=!1;break;case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:t="Framebuffer incomplete missing attachment",n=!1;break;default:t="Unexpected framebuffer status: "+e,n=!1}return{isComplete:n,message:t}}},{key:"initTexture",value:function(t,e,n,r){var o,i=this.gl;if(0===n&&"feed"===e.tensorId&&this.opts&&this.opts.usePipeLine&&this.texturesMap.image)o=this.texturesMap.image,e.data=null;else if(e.data){if(r&&(n>0||0===n&&"origin"!==e.tensor))o=this.cacheTextures[""+n][e.variable+"_"+e.tensor];else o=i.createTexture(),this.cacheTextures[""+n]=this.cacheTextures[""+n]||{},this.cacheTextures[""+n][e.variable+"_"+e.tensor]=o}else o=this.texturesMap[e.tensorId];if(i.activeTexture(i["TEXTURE".concat(t)]),i.bindTexture(i.TEXTURE_2D,o),e.data&&(!r||r&&0===n&&"origin"===e.tensor))if(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),2==this.version)i.texImage2D(i.TEXTURE_2D,0,this.internalFormat,e.width_texture,e.height_texture,0,this.textureFormat,i.FLOAT,e.data);else{e.width_texture,e.height_texture;for(var a=new Float32Array(e.width_texture*e.height_texture*4),s=0;s<e.data.length;s++)a[4*s]=e.data[s],a[4*s+1]=0,a[4*s+2]=0,a[4*s+3]=0;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width_texture,e.height_texture,0,i.RGBA,i.FLOAT,a)}}},{key:"getUniformLoc",value:function(t,e,n,r){if(n)return this.uniformLocations[""+e][t+r];var o=this.gl.getUniformLocation(this.program,t);return this.uniformLocations[""+e]=this.uniformLocations[""+e]||{},this.uniformLocations[""+e][t+r]=o,o}},{key:"makeTexure",value:function(t,e){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=this.gl,o=int(mod(float(this.textureBufferIndex),2)),i=this.textureBuffer[o];return r.bindTexture(r.TEXTURE_2D,i),r.texImage2D(r.TEXTURE_2D,0,r.RGBA,n.width_texture_out||this.width_texture_out,n.height_texture_out||this.height_texture_out,0,r.RGBA,t,e),this.attachFrameBuffer(),i}},{key:"render",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3?arguments[3]:void 0,o=this.gl,i=this,a=0;t.forEach((function(t){if("texture"===t.type){var s=i.getUniformLoc(t.variable+"_"+t.tensor,e,n,r);if(!s)return;i.initTexture(a,t,e,n),o.uniform1i(s,a++)}else"uniform"===t.type&&o[t.setter](i.getUniformLoc(t.variable+"_"+t.tensor,e,n,r),t.data)})),o.drawArrays(o.TRIANGLE_STRIP,0,4)}},{key:"createPBO",value:function(){if(2==this.version){var t=this.gl,e=this.pbo;t.bindBuffer(t.PIXEL_PACK_BUFFER,e);var n=16*this.width_texture_out*this.height_texture_out;return t.bufferData(t.PIXEL_PACK_BUFFER,n,t.STREAM_READ),t.readPixels(0,0,this.width_texture_out,this.height_texture_out,t.RGBA,t.FLOAT,0),t.bindBuffer(t.PIXEL_PACK_BUFFER,null),e}var r=[],o=this.gl,i=o.FLOAT;return this.isFloatTextureReadPixelsEnabled?r=new Float32Array(this.width_texture_out*this.height_texture_out*4):(r=new Uint8Array(this.width_texture_out*this.height_texture_out*4),i=o.UNSIGNED_BYTE),o.readPixels(0,0,this.width_texture_out,this.height_texture_out,o.RGBA,i,r),this.isFloatTextureReadPixelsEnabled?r:new Float32Array(r.buffer)}},{key:"downloadFoat32TensorFromBuffer",value:function(t){var e=this.gl,n=4*this.width_texture_out*this.height_texture_out;if(2==this.version){var r=new Float32Array(n);e.bindBuffer(e.PIXEL_PACK_BUFFER,t),e.getBufferSubData(e.PIXEL_PACK_BUFFER,0,r),e.bindBuffer(e.PIXEL_PACK_BUFFER,null);for(var o=[],i=0;i<this.width_texture_out*this.height_texture_out;i++)o.push(r[4*i]);return o}for(var a=t,s=[],u=0;u<this.width_texture_out*this.height_texture_out;u++){var c=this.isFloatTextureReadPixelsEnabled?4*u:u;s.push(a[c])}return s}},{key:"getWebglError",value:function(t){var e=this.gl;switch(t){case e.NO_ERROR:return"NO_ERROR";case e.INVALID_ENUM:return"INVALID_ENUM";case e.INVALID_VALUE:return"INVALID_VALUE";case e.INVALID_OPERATION:return"INVALID_OPERATION";case e.INVALID_FRAMEBUFFER_OPERATION:return"INVALID_FRAMEBUFFER_OPERATION";case e.OUT_OF_MEMORY:return"OUT_OF_MEMORY";case e.CONTEXT_LOST_WEBGL:return"CONTEXT_LOST_WEBGL";default:return"Unknown error code ".concat(t)}}},{key:"createAndWaitForFence",value:function(){var t=this,e=this.gl,n=null!=e.fenceSync,r=function(){return!0};if(n){var o=e.fenceSync(e.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),r=function(){var t=e.clientWaitSync(o,0,0);return t===e.ALREADY_SIGNALED||t===e.CONDITION_SATISFIED}}return new Promise((function(e){t.pollItem(r,e)}))}},{key:"pollItem",value:function(t,e){!function n(){t()?e():setTimeout(n,1)}()}},{key:"compute",value:function(){var t=this.gl,e=(Date.now(),new Float32Array(this.width_texture_out*this.height_texture_out*4));Date.now();t.readPixels(0,0,this.width_texture_out,this.height_texture_out,t.RGBA,t.FLOAT,e);for(var n=[],r=0;r<this.width_texture_out*this.height_texture_out;r++)n.push(e[4*r]);return n}},{key:"dispose",value:function(){var t=this,e=this.gl;this.cacheTextures={},this.programs.forEach((function(n){e.detachShader(n,t.vertexShader),e.deleteShader(t.vertexShader),e.deleteProgram(n)})),this.programs=[]}}]),t}(),O={params:"\n    // 输入数据\n    uniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    // 输出数据\n    float o = getPixelsFromTexturePos_texture_origin(vCoord).r;\n    float res = ACTIVE_FUNCTION(o, multi_value, bias_value);\n    setOutput(res);\n}\n",confs:{dep:[{func:"getPixelsFromTexturePos",conf:{TEXTURE_NAME:"texture_origin"}}],conf:["WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","FUSE_RELU","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},A={common:{params:"\n    // dynamic的input数据\n    const float multi_value = float(MULTI_VALUE);\n    const float bias_value = float(BIAS_VALUE);\n    const bool fuse_relu =  bool(FUSE_RELU);\n\n    // 输出数据\n    const int width_shape_out = WIDTH_SHAPE_OUT;\n    const int height_shape_out = HEIGHT_SHAPE_OUT;\n    const int width_texture_out = WIDTH_TEXTURE_OUT;\n    const int height_texture_out = HEIGHT_TEXTURE_OUT;\n    const int channel_out = CHANNEL_OUT;\n    const int offset_y_out = OFFSET_Y_OUT;\n",func:"\n// 激活函数\nfloat prelu(float x, float p, float b) {\n    float result = x;\n    if (x < 0.0) {\n        result = x * p;\n    }\n    \n    return result;\n}\nfloat relu6(float x, float threshold, float b) {\n        float result = max(0.0,x);\n        result = min(result,threshold);\n        return result;\n}\nfloat leakyRelu(float x, float p, float b) {\n    float result = max(x, x * p);\n    return result;\n}\n\nfloat scale(float x, float p, float b) {\n    float result = p * x + b;\n    return result;\n}\n\nfloat sigmoid(float x, float y, float z) {\n    float result = 1.0 / (1.0 + exp(-x));\n    return result;\n}\n\nfloat softmax(float x, float p, float b) {\n    float result = exp(x) / (10.0 * exp(x));\n    return result;\n}\n\n",prefix:"\n#ifdef GL_FRAGMENT_PRECISION_HIGH\n    precision highp float;\n    precision highp int;\n#else\n    precision highp float;\n    precision highp int;\n#endif\n    varying vec2 vCoord;\n    varying vec4 outColor;\n    void setOutput(float result) {\n            gl_FragColor.r = result;\n    }\n",prefixHalf:"\n#ifdef GL_FRAGMENT_PRECISION_HIGH\n    precision highp float;\n    precision highp int;\n#else\n    precision highp float;\n    precision highp int;\n#endif\n\n    #define isnan(value) isnan_custom(value)\n    bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n    }\n\n    varying vec2 vCoord;\n    varying vec4 outColor;\n    void setOutput(float result) {\n        if(isnan(result)) {\n            gl_FragColor.r = 0.0;\n        }else {\n            gl_FragColor.r = result;\n        }\n    }\n",prefixUint:"\nprecision highp float;\nprecision highp int;\n\nvarying vec2 vCoord;\nvarying vec4 outColor;\n\nconst float FLOAT_MAX = 1.70141184e38;\nconst float FLOAT_MIN = 1.17549435e-38;\n\n#define isnan(value) isnan_custom(value)\nbool isnan_custom(float val) {\n    return (val > 0. || val < 1. || val == 0.) ? false : true;\n}\n\nlowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n}\n\nvoid setOutput(float result) {\n        gl_FragColor = encode_float(result);\n}\n",prefix2:"#version 300 es\n\n#ifdef GL_FRAGMENT_PRECISION_HIGH\n    precision highp float;\n    precision highp int;\n#else\n    precision mediump float;\n    precision mediump int;\n#endif\n\n// 顶点shader透传的材质坐标\n    in vec2 vCoord;\n    out vec4 outColor;\n    void setOutput(float result) {\n        outColor.r = result;\n    }\n",suffix:"\nvec2 _2d_shape_texture_out = vec2(float(width_texture_out), float(height_texture_out));\nivec4 getOutputTensorPos() {\n    // 获取原始长度\n    vec2 outCoord = vCoord.xy * _2d_shape_texture_out;\n    int x = int(outCoord.x / float(channel_out));\n    int c = int(mod(outCoord.x, float(channel_out)));\n    int y = int(mod(outCoord.y, float(height_shape_out)));\n    int b = int(outCoord.y / float(height_shape_out));\n    return ivec4(b, c, y, x);\n}\n\n\nivec4 getOutputTensorPosLimit() {\n    // 获取原始长度\n    vec2 outCoord = vCoord.xy * _2d_shape_texture_out;\n    float offsetY = floor(outCoord.y / float(height_shape_out));\n    int x = int(outCoord.x / float(channel_out));\n    if (mod(offsetY, 4.0) > 0.0) {\n        x += int(mod(offsetY, 4.0)) * int(ceil(float(width_shape_out) / 4.0));\n    }\n    int y = int(mod(outCoord.y, float(height_shape_out)));\n    int c = int(mod(outCoord.x, float(channel_out)));\n    int b = int(outCoord.y / float(4 * height_shape_out));\n    return ivec4(b, c, y, x);\n}\n\nivec4 getOutputPackedTensorPos() {\n    // 获取原始长度\n    vec2 outCoord = vCoord.xy * _2d_shape_texture_out;\n    int height = height_shape_out + offset_y_out;\n    int x = int(outCoord.x);\n    int c = int(outCoord.y / float(height / 2));\n    int y = int(mod(outCoord.y, float(height / 2)));\n    int b = 0;\n    return ivec4(b, c, y, x);\n}\n",ivec56:"\nstruct ivec5 {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n};\nstruct ivec6 {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n    int v;\n};\n"},ops:{conv2d_transpose:{params:"\n    // conv2d的input数据\n\n    // 常量\n    // 卷积核\n    const int length_shape_filter = LENGTH_SHAPE_FILTER;\n    const int width_shape_filter = WIDTH_SHAPE_FILTER;\n    const int height_shape_filter = HEIGHT_SHAPE_FILTER;\n    const int width_texture_filter = WIDTH_TEXTURE_FILTER;\n    const int height_texture_filter = HEIGHT_TEXTURE_FILTER;\n    const int channel_filter = CHANNEL_FILTER;\n\n    // 输入数据\n    const int width_shape_origin = WIDTH_SHAPE_ORIGIN;\n    const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\n    const int length_shape_origin = LENGTH_SHAPE_ORIGIN;\n    const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\n    const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\n    const int channel_origin = CHANNEL_ORIGIN;\n\n    // 计算相关\n    // 拆分步长\n    const int stride_h = int(STRIDES_X);\n    const int stride_v = int(STRIDES_Y);\n    // padding的数目\n    const int padLeft = WIDTH_SHAPE_FILTER - PADDINGS_X - 1;\n    const int padTop = HEIGHT_SHAPE_FILTER - PADDINGS_Y - 1;\n\n    // dilation膨胀系数\n    const int dilation_h = DILATIONS_X;\n    const int dilation_v = DILATIONS_Y;\n    // groups\n    const int groups = GROUPS;\n\n    // uniform变量\n    // 卷积核\n    uniform sampler2D texture_filter;\n\n    // 输入数据\n    uniform sampler2D texture_origin;\n",func:"\n    // start函数\n    void main(void) {\n        ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n        int x = oPos.a;\n        int c = oPos.g;\n        int y = oPos.b;\n        int b = oPos.r;\n        float res = 0.0;\n        int temp_x = 0;\n        int temp_y = 0;\n        float o = 0.0;\n        float f = 0.0;\n\n        // 获取output的坐标\n        int oTensorChannel = int(c * groups / channel_out) * channel_origin;\n        int oy = y - padTop;\n        const int groupLen = int(channel_origin / groups);\n        int groupIndex = int(c / groupLen);\n\n        for (int fy = 0; fy < height_shape_filter; fy++) {\n            if (oy < 0) {\n                oy += dilation_v;\n                continue;\n            }\n            int ox = x - padLeft;\n            for (int fx = 0; fx < width_shape_filter; fx++) {\n\n                if (ox < 0) {\n                    ox += dilation_h;\n                    continue;\n                }\n                // channel计算\n                for (int j = 0; j < groupLen; j++) {\n                    int curIndex = j + b * groupLen;\n                \tif (int(mod(float(ox), float(stride_h))) == 0 && int(mod(float(oy), float(stride_v))) == 0) {\n\t\t\t\t\t\ttemp_x = int(floor(float(ox) / float(stride_h)));\n\t\t\t\t\t\ttemp_y = int(floor(float(oy) / float(stride_v)));\n                        if (temp_x < width_shape_origin && temp_y < height_shape_origin){\n\t\t\t\t\t\t    o = getValueFromTensorPosLIMIT_ORIGIN_origin(b, curIndex , temp_y, temp_x);\n                            f = getValueFromTensorPosLIMIT_FILTER_filter(curIndex, int(c / groups), height_shape_filter-1-fy, width_shape_filter-1-fx);\n                            res += f * o;\n                        }\n\t\t\t\t\t}\n                }\n                ox += dilation_h;\n            }\n            oy += dilation_v;\n        }\n        setOutput(float(res));\n    }\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"filter"}}],conf:["LENGTH_SHAPE_FILTER","WIDTH_SHAPE_FILTER","HEIGHT_SHAPE_FILTER","WIDTH_TEXTURE_FILTER","HEIGHT_TEXTURE_FILTER","CHANNEL_FILTER","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","STRIDE_HORIZONTAL","STRIDE_VERTICAL","PAD_LEFT","PAD_TOP","DILATION_HORIZONTAL","DILATION_VERTICAL","GROUPS","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"filter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},conv2d:{params:"\n    // conv2d的input数据\n\n    // 常量\n    // 卷积核\n    const int length_shape_filter = LENGTH_SHAPE_FILTER;\n    const int width_shape_filter = WIDTH_SHAPE_FILTER;\n    const int height_shape_filter = HEIGHT_SHAPE_FILTER;\n    const int width_texture_filter = WIDTH_TEXTURE_FILTER;\n    const int height_texture_filter = HEIGHT_TEXTURE_FILTER;\n    const int channel_filter = CHANNEL_FILTER;\n\n    // 输入数据\n    const int width_shape_origin = WIDTH_SHAPE_ORIGIN;\n    const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\n    const int length_shape_origin = LENGTH_SHAPE_ORIGIN;\n    const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\n    const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\n    const int channel_origin = CHANNEL_ORIGIN;\n\n    // bias\n    const int width_shape_bias = WIDTH_SHAPE_BIAS;\n    const int height_shape_bias = HEIGHT_SHAPE_BIAS;\n    const int length_shape_bias = LENGTH_SHAPE_BIAS;\n    const int width_texture_bias = WIDTH_TEXTURE_BIAS;\n    const int height_texture_bias = HEIGHT_TEXTURE_BIAS;\n    const int channel_bias = CHANNEL_BIAS;\n\n    // 计算相关\n    // 拆分步长\n    const int stride_h = STRIDES_X;\n    const int stride_v = STRIDES_Y;\n    // padding的数目\n    const int padLeft = PADDINGS_X;\n    const int padTop = PADDINGS_Y;\n    // dilation膨胀系数\n    const int dilation_h = DILATIONS_X;\n    const int dilation_v = DILATIONS_Y;\n    // groups\n    const int groups = GROUPS;\n\n    // uniform变量\n    // 卷积核\n    uniform sampler2D texture_filter;\n\n    // 输入数据\n    uniform sampler2D texture_origin;\n\n\n    // bias\n    uniform sampler2D texture_bias;\n\n    // 合并 channel 计算\n    const int filter_nearest_vec4 = FILTER_NEAREST_VEC4;\n    const int filter_remainder_vec4 = FILTER_REMAINDER_VEC4;\n",func:"\n    // start函数\n    void main(void) {\n        ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n        int x = oPos.a;\n        int c = oPos.g;\n        int y = oPos.b;\n        int b = oPos.r;\n        float res = 0.0;\n\n        // 获取output的坐标\n        int oTensorChannel = (c / (channel_out / groups)) * channel_filter;\n        int oy = y * stride_v - padTop;\n        for (int fy = 0; fy < height_shape_filter; fy++) {\n            if (oy >= height_shape_origin) {\n                break;\n            }\n            if (oy < 0) {\n                oy += dilation_v;\n                continue;\n            }\n            int ox = x * stride_h - padLeft;\n            for (int fx = 0; fx < width_shape_filter; fx++) {\n                if (ox >= width_shape_origin) {\n                    break;\n                }\n                if (ox < 0) {\n                    ox += dilation_h;\n                    continue;\n                }\n                // channel计算\n                for (int j = 0; j < filter_nearest_vec4; j += 4) {\n                    vec4 fValues = vec4(\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, j, fy, fx),\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, j + 1, fy, fx),\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, j + 2, fy, fx),\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, j + 3, fy, fx)\n                    );\n\n                    vec4 oValues = vec4(\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + j, oy, ox),\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + j + 1, oy, ox),\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + j + 2, oy, ox),\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + j + 3, oy, ox)\n                      );\n\n                    res += dot(fValues, oValues);\n                }\n\n                if (filter_remainder_vec4 == 1) {\n                    res += dot(\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, filter_nearest_vec4, fy, fx),\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + filter_nearest_vec4, oy, ox));\n                } else if (filter_remainder_vec4 == 2) {\n                    vec2 fValues = vec2(\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, filter_nearest_vec4, fy, fx),\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, filter_nearest_vec4 + 1, fy, fx)\n                    );\n                    vec2 oValues = vec2(\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + filter_nearest_vec4, oy, ox),\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + filter_nearest_vec4 + 1, oy, ox)\n                      );\n                    res += dot(fValues, oValues);\n                } else if (filter_remainder_vec4 == 3) {\n                    vec3 fValues = vec3(\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, filter_nearest_vec4, fy, fx),\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, filter_nearest_vec4 + 1, fy, fx),\n                        getValueFromTensorPosLIMIT_FILTER_filter(c, filter_nearest_vec4 + 2, fy, fx)\n                    );\n                    vec3 oValues = vec3(\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + filter_nearest_vec4, oy, ox),\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + filter_nearest_vec4 + 1, oy, ox),\n                        getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + filter_nearest_vec4 + 2, oy, ox)\n                    );\n                    res += dot(fValues, oValues);\n                }\n\n                ox += dilation_h;\n            }\n            oy += dilation_v;\n        }\n\n        float bi = getValueFromTensorPosLIMIT_BIAS_bias(0, 0, 0, c);\n        res += bi;\n        if (fuse_relu) {\n            res = max(0.0, res);\n        }\n\n        setOutput(res);\n    }\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"filter"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"bias"}},{func:"transferFromNHWCtoNCHW",conf:{}}],conf:["LENGTH_SHAPE_FILTER","WIDTH_SHAPE_FILTER","HEIGHT_SHAPE_FILTER","WIDTH_TEXTURE_FILTER","HEIGHT_TEXTURE_FILTER","CHANNEL_FILTER","WIDTH_SHAPE_BIAS","HEIGHT_SHAPE_BIAS","LENGTH_SHAPE_BIAS","WIDTH_TEXTURE_BIAS","HEIGHT_TEXTURE_BIAS","CHANNEL_BIAS","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","STRIDE_HORIZONTAL","STRIDE_VERTICAL","PAD_LEFT","PAD_TOP","DILATION_HORIZONTAL","DILATION_VERTICAL","GROUPS","MULTI_VALUE","BIAS_VALUE","FUSE_RELU","ACTIVE_FUNCTION","FILTER_REMAINDER_VEC4","FILTER_NEAREST_VEC4"],input:[{tensor:"filter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"bias",variable:"texture",setter:"initTexture",type:"texture"}]}},conv2d_depthwise:{params:"\n    // conv2d的input数据\n\n    // 常量\n    // 卷积核\n    const int length_shape_filter = LENGTH_SHAPE_FILTER;\n    const int width_shape_filter = WIDTH_SHAPE_FILTER;\n    const int height_shape_filter = HEIGHT_SHAPE_FILTER;\n    const int width_texture_filter = WIDTH_TEXTURE_FILTER;\n    const int height_texture_filter = HEIGHT_TEXTURE_FILTER;\n    const int channel_filter = CHANNEL_FILTER;\n\n    // 输入数据\n    const int width_shape_origin = WIDTH_SHAPE_ORIGIN;\n    const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\n    const int length_shape_origin = LENGTH_SHAPE_ORIGIN;\n    const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\n    const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\n    const int channel_origin = CHANNEL_ORIGIN;\n\n    // bias\n    const int width_shape_bias = WIDTH_SHAPE_BIAS;\n    const int height_shape_bias = HEIGHT_SHAPE_BIAS;\n    const int length_shape_bias = LENGTH_SHAPE_BIAS;\n    const int width_texture_bias = WIDTH_TEXTURE_BIAS;\n    const int height_texture_bias = HEIGHT_TEXTURE_BIAS;\n    const int channel_bias = CHANNEL_BIAS;\n\n    // 计算相关\n    // 拆分步长\n    const int stride_h = STRIDES_X;\n    const int stride_v = STRIDES_Y;\n    // padding的数目\n    const int padLeft = PADDINGS_X;\n    const int padTop = PADDINGS_Y;\n    // dilation膨胀系数\n    const int dilation_h = DILATIONS_X;\n    const int dilation_v = DILATIONS_Y;\n\n    // uniform变量\n    // 卷积核\n    uniform sampler2D texture_filter;\n\n    // 输入数据\n    uniform sampler2D texture_origin;\n\n    // bias\n    uniform sampler2D texture_bias;\n",func:"\n    // start函数\n    void main(void) {\n        ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n        int x = oPos.a;\n        int c = oPos.g;\n        int y = oPos.b;\n        int b = oPos.r;\n        float res = 0.0;\n        int top = y * stride_v - padTop;\n        int left = x * stride_h - padLeft;\n        for (int fy = 0; fy < height_shape_filter; fy++) {\n          int oy = top + fy * dilation_v;\n          if (oy >= height_shape_origin) {\n              break;\n          }\n          if (oy < 0) {\n            continue;\n          }\n          for (int fx = 0; fx < width_shape_filter; fx++) {\n            int ox = left + fx * dilation_h;\n            if (ox >= width_shape_origin) {\n                break;\n            }\n            if (ox < 0) {\n                continue;\n            }\n            // b默认是0\n            float f = getValueFromTensorPosLIMIT_FILTER_filter(c, 0, fy, fx);\n            float o = getValueFromTensorPosLIMIT_ORIGIN_origin(b, c, oy, ox);\n            res += f * o;\n          }\n        }\n        float bi = getValueFromTensorPosLIMIT_BIAS_bias(0, 0, 0, c);\n        res += bi;\n        if (fuse_relu) {\n            res = max(0.0, res);\n        }\n        setOutput(res);\n    }\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"filter"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"bias"}},{func:"transferFromNHWCtoNCHW",conf:{}}],conf:["LENGTH_SHAPE_FILTER","WIDTH_SHAPE_FILTER","HEIGHT_SHAPE_FILTER","WIDTH_TEXTURE_FILTER","HEIGHT_TEXTURE_FILTER","CHANNEL_FILTER","WIDTH_SHAPE_BIAS","HEIGHT_SHAPE_BIAS","LENGTH_SHAPE_BIAS","WIDTH_TEXTURE_BIAS","HEIGHT_TEXTURE_BIAS","CHANNEL_BIAS","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","STRIDE_HORIZONTAL","STRIDE_VERTICAL","PAD_LEFT","PAD_TOP","DILATION_HORIZONTAL","DILATION_VERTICAL","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"filter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"bias",variable:"texture",setter:"initTexture",type:"texture"}]}},conv2d_elementwise_add:{params:"\n    // 卷积核\n    const int length_shape_filter = LENGTH_SHAPE_FILTER;\n    const int width_shape_filter = WIDTH_SHAPE_FILTER;\n    const int height_shape_filter = HEIGHT_SHAPE_FILTER;\n    const int width_texture_filter = WIDTH_TEXTURE_FILTER;\n    const int height_texture_filter = HEIGHT_TEXTURE_FILTER;\n    const int channel_filter = CHANNEL_FILTER;\n    \n    // 输入数据\n    const int width_shape_origin = WIDTH_SHAPE_ORIGIN;\n    const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\n    const int length_shape_origin = LENGTH_SHAPE_ORIGIN;\n    const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\n    const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\n    const int channel_origin = CHANNEL_ORIGIN;\n    \n    // 计算相关\n    // 拆分步长\n    const int stride_h = STRIDES_X;\n    const int stride_v = STRIDES_Y;\n    // padding的数目\n    const int padLeft = PADDINGS_X;\n    const int padTop = PADDINGS_Y;\n    // dilation膨胀系数\n    const int dilation_h = DILATIONS_X;\n    const int dilation_v = DILATIONS_Y;\n    // groups\n    const int groups = GROUPS;\n\n   const int total_shape_out = TOTAL_SHAPE_OUT;\n    // 加法\n    const int axis = AXIS;\n     \n    // uniform变量\n    // 卷积核\n    uniform sampler2D texture_filter;\n    \n    // 输入数据\n    uniform sampler2D texture_origin;\n    \n    // 加法\n    uniform sampler2D texture_counter;\n    // 加法用到的函数\n    float getValueFromCounter(int index) {\n        float xPos = float(index) / float(WIDTH_SHAPE_COUNTER);\n        vec4 pixels = TEXTURE2D(texture_counter, vec2(xPos, 0.5));\n        return pixels.r;\n    }\n",func:"\n    // start函数\n    void main(void) {\n        ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n\t\t//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out;\n        //ivec4 new_oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);\n        int x = oPos.a;\n        int c = oPos.g;\n        int y = oPos.b;\n        int b = oPos.r;\n        int addAxis = oPos[axis];\n        float res = getValueFromCounter(addAxis);\n\n        // 获取output的坐标\n        int oTensorChannel = (c / (channel_out / groups)) * channel_filter;\n        int oy = y * stride_v - padTop;\n        for (int fy = 0; fy < height_shape_filter; fy++) {\n            if (oy >= height_shape_origin) {\n                break;\n            }\n            if (oy < 0) {\n                oy += dilation_v;\n                continue;\n            }\n            int ox = x * stride_h - padLeft;\n            for (int fx = 0; fx < width_shape_filter; fx++) {\n                if (ox >= width_shape_origin) {\n                    break;\n                }\n                if (ox < 0) {\n                    ox += dilation_h;\n                    continue;\n                }\n                // channel计算\n                for (int j = 0; j < channel_filter; j++) {\n                    float f = getValueFromTensorPosLIMIT_FILTER_filter(c, j, fy, fx);\n                    float o = getValueFromTensorPosLIMIT_ORIGIN_origin(b, oTensorChannel + j, oy, ox);\n                    res += f * o;\n                }\n                ox += dilation_h;\n            }\n            oy += dilation_v;\n        }\n        setOutput(ACTIVE_FUNCTION(res, multi_value, bias_value));\n        // outColor.r = float(b);\n        // outColor.g = float(c);\n        // outColor.b = float(y);\n        // outColor.a = float(x);\n    }\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"filter"}},{func:"transferFromNHWCtoNCHW",conf:{}}],conf:["LENGTH_SHAPE_FILTER","WIDTH_SHAPE_FILTER","HEIGHT_SHAPE_FILTER","WIDTH_TEXTURE_FILTER","HEIGHT_TEXTURE_FILTER","CHANNEL_FILTER","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","WIDTH_SHAPE_COUNTER","STRIDE_HORIZONTAL","STRIDE_VERTICAL","PAD_LEFT","PAD_TOP","DILATION_HORIZONTAL","DILATION_VERTICAL","GROUPS","AXIS","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"filter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"counter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},conv2d_elementwise_add_winograd:{params:"\n    // 卷积核\n    const int length_shape_filter = LENGTH_SHAPE_FILTER;\n    const int width_shape_filter = WIDTH_SHAPE_FILTER;\n    const int height_shape_filter = HEIGHT_SHAPE_FILTER;\n    const int width_texture_filter = WIDTH_TEXTURE_FILTER;\n    const int height_texture_filter = HEIGHT_TEXTURE_FILTER;\n    const int channel_filter = CHANNEL_FILTER;\n\n    // 输入数据\n    const int width_shape_origin = WIDTH_SHAPE_ORIGIN;\n    const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\n    const int length_shape_origin = LENGTH_SHAPE_ORIGIN;\n    const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\n    const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\n    const int channel_origin = CHANNEL_ORIGIN;\n    \n    // 计算相关\n    // padding的数目\n    const int padLeft = PADDINGS_X;\n    const int padTop = PADDINGS_Y;\n   \n    // 加法\n    const int axis = AXIS;\n    uniform float data_counter[TOTAL_SHAPE_COUNTER];\n     \n    // uniform变量\n    // 卷积核\n    uniform sampler2D texture_filter;\n    \n    // 输入数据\n    uniform sampler2D texture_origin;\n    // 加法用到的函数\n    float getValueFromCounter(int index) {\n        for (int i = 0; i < TOTAL_SHAPE_COUNTER; i++) {\n            if (i == index) {\n                return data_counter[i];\n            }\n        }\n        return 0.0;\n    }\n",func:"\n    // start函数\n    void main(void) {\n        ivec4 oPos = getOutputPackedTensorPos();\n        int x = oPos.a;\n        int c = oPos.g;\n        int y = oPos.b;\n        int b = oPos.r;\n        // b = 0;\n        // c = 1;\n        // y = 0;\n        // x = 0;\n        int addAxis = oPos[axis];\n        float res = getValueFromCounter(addAxis);\n        // 输出结果\n        vec4 v4 = vec4(res);\n\n        float I[16];\n        float B[16];\n        float T[16];\n        float f[16];\n        for (int cl = 0; cl < channel_filter; cl++) {\n            // 获取output的坐标\n            int oy = 2*y - padTop;\n            // 计算输入 4 * 4矩阵 和filter\n            for (int fy = 0; fy < 4; fy++) {\n                int ox = 2*x - padLeft;\n                int index = fy * 4;\n                for (int fx = 0; fx < 4; fx++) {\n                    if (oy < 0 || oy >= height_shape_origin || ox >= width_shape_origin || ox < 0) {\n                        I[index + fx] = 0.0;\n                    } else {\n                        I[index + fx] = getValueFromTensorPos_origin(b, cl, oy, ox);\n                    }\n                    f[index + fx] = getValueFromTensorPos_filter(c, cl, fy, fx);\n                    ox += 1;\n                }\n                oy += 1;\n            }\n            // input转化\n            float tmp1 = I[2] - I[10];\n            float tmp2 = I[9] - I[1];\n            B[0] = I[0] - I[8] - tmp1;\n            B[1] = tmp1 - tmp2;\n            B[2] = tmp1 + tmp2;\n            B[3] = I[3] - I[11] + tmp2;\n            tmp1 = I[6] + I[10];\n            tmp2 = I[5] + I[9];\n            B[4] = I[4] + I[8] - tmp1;\n            B[5] = tmp1 + tmp2;\n            B[6] = tmp1 - tmp2;\n            B[7] = I[7] + I[11] - tmp2;\n            tmp1 = I[10] - I[6];\n            tmp2 = I[5] - I[9];\n            B[8] = I[8] - I[4] - tmp1;\n            B[9] = tmp1 - tmp2;\n            B[10] = tmp1 + tmp2;\n            B[11] = tmp2 - I[7] + I[11];\n            tmp1 = I[14] - I[6];\n            tmp2 = I[5] - I[13];\n            B[12] = I[12] - I[4] - tmp1;\n            B[13] = tmp1 - tmp2;\n            B[14] = tmp1 + tmp2;\n            B[15] = tmp2 - I[7] + I[15];\n            // 点乘\n            for (int i = 0; i < 16; i++) {\n                T[i] = B[i] * f[i];\n            }\n            // final output\n            tmp1 = T[1] + T[5] + T[9];\n            tmp2 = T[2] + T[6] + T[10];\n            v4[0] += T[0] + T[4] + T[8] + tmp1 + tmp2;\n            v4[1] += T[3] + T[7] + T[11] + tmp1 - tmp2;\n            tmp1 = T[5] - T[9] + T[13];\n            tmp2 = T[6] - T[10] + T[14];\n            v4[2] += T[4] - T[8] + T[12] + tmp1 + tmp2;\n            v4[3] += T[7] - T[11] + T[15] + tmp1 - tmp2;\n        }\n        outColor.r = ACTIVE_FUNCTION(v4[0], multi_value, bias_value);\n        outColor.g = ACTIVE_FUNCTION(v4[1], multi_value, bias_value);\n        outColor.b = ACTIVE_FUNCTION(v4[2], multi_value, bias_value);\n        outColor.a = ACTIVE_FUNCTION(v4[3], multi_value, bias_value);\n        // outColor = v4;\n        // outColor.r = I[0];\n        // outColor.g = I[1];\n        // outColor.b = I[2];\n        // outColor.a = I[3];\n        // outColor.r = float(b);\n        // outColor.g = float(c);\n        // outColor.b = float(y);\n        // outColor.a = float(x);\n    }\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"filter"}}],conf:["LENGTH_SHAPE_FILTER","WIDTH_SHAPE_FILTER","HEIGHT_SHAPE_FILTER","WIDTH_TEXTURE_FILTER","HEIGHT_TEXTURE_FILTER","CHANNEL_FILTER","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","TOTAL_SHAPE_COUNTER","PAD_LEFT","PAD_TOP","AXIS","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"filter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"counter",variable:"data",setter:"uniform1fv",type:"uniform"}]}},test:{params:"\n    // 输入数据\n    const int width_shape_origin = WIDTH_SHAPE_ORIGIN;\n    const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\n    const int length_shape_origin = LENGTH_SHAPE_ORIGIN;\n    const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\n    const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\n    const int channel_origin = CHANNEL_ORIGIN;\n\n    uniform sampler2D texture_origin;\n\n",func:"\n// start函数\nvoid main(void) {\n    // 输出数据\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},dynamic:O,pool2d:{params:"\n// 常量\n// 池化大小\nconst int width_shape_pool = KSIZE_X;\nconst int height_shape_pool = KSIZE_Y;\nconst int type_pool = TYPE_POOL;\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\n\n// 计算相关\n// 拆分步长\nconst int stride_h = STRIDES_X;\nconst int stride_v = STRIDES_Y;\n// padding的数目\nconst int padLeft = PADDINGS_X;\nconst int padTop = PADDINGS_Y;\n\n// uniform变量\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n\tfloat res = 0.0;\n    // 获取output的坐标\n    ivec4 out_pos = getOutputTensorPosLIMIT_OUT();\n    // X、Y方向的移动步长\n    int count_pool = 0;\n    int oy_base = out_pos[2] * stride_v - padTop;\n    int ox_base = out_pos[3] * stride_h - padLeft;\n    for (int fy = 0; fy < height_shape_pool; fy++) {\n        int oy = oy_base + fy;\n        if (oy >= height_shape_origin) {\n            break;\n        }\n        if (oy < 0) {\n            continue;\n        }\n        for (int fx = 0; fx < width_shape_pool; fx++) {\n            int ox = ox_base + fx;\n            if (ox >= width_shape_origin) {\n                break;\n            }\n            if (ox < 0) {\n                continue;\n            }\n            // origin数据\n            float curr = getValueFromTensorPosLIMIT_ORIGIN_origin(out_pos[0], out_pos[1], oy, ox);\n            if (type_pool == 1) {\n                if (curr > res) {\n                    res = curr;\n                }\n            } else {\n                res += curr;\n                // 在平均池化模式忽略填充值(exclusive默认为true）\n                count_pool++;\n            }\n        }\n    }\n    if (type_pool != 1) {\n        res = res / float(count_pool);\n    }\n    setOutput(res);\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}}],conf:["KSIZE_X","KSIZE_Y","TYPE_POOL","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","STRIDES_X","STRIDES_Y","PADDING_X","PADDING_Y"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},pool2d_max:{params:"\n// 常量\n// 池化大小\nconst int width_shape_pool = KSIZE_X;\nconst int height_shape_pool = KSIZE_Y;\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\n\n// 计算相关\n// 拆分步长\nconst int stride_h = STRIDES_X;\nconst int stride_v = STRIDES_Y;\n// padding的数目\nconst int padLeft = PADDINGS_X;\nconst int padTop = PADDINGS_Y;\n\n\n// uniform变量\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    float res = 0.0;\n    // 获取output的坐标\n    ivec4 out_pos = getOutputTensorPosLIMIT_OUT();\n    int b = out_pos[0];\n    int c = out_pos[1];\n    int y = out_pos[2];\n    int x = out_pos[3];\n    // X、Y方向的移动步长\n    int oy_base = out_pos[2] * stride_v - padTop;\n    int ox_base = out_pos[3] * stride_h - padLeft;\n    for (int fy = 0; fy < height_shape_pool; fy++) {\n        int oy = oy_base + fy;\n        if (oy >= height_shape_origin) {\n            break;\n        }\n        if (oy < 0) {\n            continue;\n        }\n        for (int fx = 0; fx < width_shape_pool; fx++) {\n            int ox = ox_base + fx;\n            if (ox >= width_shape_origin) {\n                break;\n            }\n            if (ox < 0) {\n                continue;\n            }\n            // origin数据\n            float curr = getValueFromTensorPosLIMIT_ORIGIN_origin(out_pos[0], out_pos[1], oy, ox);\n            res = max(res, curr);\n        }\n    } \n    setOutput(res);\n    // outColor.r = float(b);\n    //     outColor.g = float(c);\n    //     outColor.b = float(y);\n    //     outColor.a = float(x);\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}}],conf:["KSIZE_X","KSIZE_Y","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","STRIDES_X","STRIDES_Y","PADDING_X","PADDING_Y"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},pool2d_winograd:{params:"\n// 常量\n// 池化大小\nconst int width_shape_pool = KSIZE_X;\nconst int height_shape_pool = KSIZE_Y;\nconst int type_pool = TYPE_POOL;\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int offset_x_origin = OFFSET_X_ORIGIN;\nconst int offset_y_origin = OFFSET_Y_ORIGIN;\n\n\n// 计算相关\n// 拆分步长\nconst int stride_h = STRIDES_X;\nconst int stride_v = STRIDES_Y;\n// padding的数目\nconst int padLeft = PADDINGS_X;\nconst int padTop = PADDINGS_Y;\n\n\n// uniform变量\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    float res = (-1.0 / exp(-20.0));\n    // 获取output的坐标\n    ivec4 out_pos = getOutputTensorPos();\n    // int b = out_pos[0];\n    // int c = out_pos[1];\n    // int y = out_pos[2];\n    // int x = out_pos[3];\n    // X、Y方向的移动步长\n    int count_pool = 0;\n    int oy_base = out_pos[2] * stride_v - padTop;\n    int ox_base = out_pos[3] * stride_h - padLeft;\n    // int offset = 0;\n    // vec4 v4 = texture(texture_origin, vec2((float(0) + 0.5) / float(width_texture_origin), (float(1 * height_shape_origin / 2 + 0) + 0.5) / float(height_texture_origin)));\n    for (int fy = 0; fy < height_shape_pool; fy++) {\n        int oy = oy_base + fy;\n        if (oy >= height_shape_origin) {\n            break;\n        }\n        if (oy < 0) {\n            continue;\n        }\n        for (int fx = 0; fx < width_shape_pool; fx++) {\n            int ox = ox_base + fx;\n            if (ox >= width_shape_origin) {\n                break;\n            }\n            if (ox < 0) {\n                continue;\n            }\n            // origin数据\n            float curr = getValueFromTensorPosPacked_origin(out_pos[0], out_pos[1], oy, ox);\n            // y = oy;\n            // x = ox;\n            // v4[offset++] = curr;\n            if (type_pool == 1) {\n                if (curr > res) {\n                    res = curr;\n                }\n            } else {\n                res += curr;\n                // 在平均池化模式忽略填充值(exclusive默认为true）\n                count_pool++;\n            }\n        }\n    }\n    if (type_pool != 1) {\n        res = res / float(count_pool);\n    }\n    setOutput(res);\n    // outColor = v4;\n    // outColor.r = float(b);\n    // outColor.g = float(c);\n    // outColor.b = float(y);\n    // outColor.a = float(x);\n}\n",confs:{dep:[{func:"getValueFromTensorPosPacked",conf:{TENSOR_NAME:"origin"}}],conf:["KSIZE_X","KSIZE_Y","TYPE_POOL","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","OFFSET_X_ORIGIN","OFFSET_Y_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","STRIDES_X","STRIDES_Y","PADDING_X","PADDING_Y"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},elementwise_add:{params:"\n    // 输入数据\n    const int axis = AXIS;\n    const int width_shape_origin = WIDTH_SHAPE_ORIGIN;\n    const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\n    const int length_shape_origin = LENGTH_SHAPE_ORIGIN;\n    const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\n    const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\n    const int channel_origin = CHANNEL_ORIGIN;\n\n    const int height_shape_counter = HEIGHT_SHAPE_COUNTER;\n    const int width_shape_counter = WIDTH_SHAPE_COUNTER;\n    const int length_shape_counter = LENGTH_SHAPE_COUNTER;\n    const int width_texture_counter = WIDTH_TEXTURE_COUNTER;\n    const int height_texture_counter = HEIGHT_TEXTURE_COUNTER;\n    const int channel_counter = CHANNEL_COUNTER;\n    \n    uniform sampler2D texture_origin;\n\tuniform sampler2D texture_counter;\n\n",func:"\n// start函数\nvoid main(void) {\n    // 输出数据\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);\n\tivec4 pos_counter;\n\tfloat c = 0.0;\n\n\tif (axis == 1){\n        c = getValueFromTensorPosLIMIT_COUNTER_counter(0, oPos.r, oPos.g, oPos.b);\n    }\n    else if (axis == 2){\n        c = getValueFromTensorPosLIMIT_COUNTER_counter(0, 0, oPos.r, oPos.g);\n    }\n    else if (axis == 3){\n        c = getValueFromTensorPosLIMIT_COUNTER_counter(0, 0, 0, oPos.r);\n    }\n    else {\n        c = getValueFromTensorPosLIMIT_COUNTER_counter(oPos.r, oPos.g, oPos.b, oPos.a);\n    }\n\tfloat res = c + o;\n\tsetOutput(float(res));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"transferFromNHWCtoNCHW",conf:{}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"counter"}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_COUNTER","HEIGHT_SHAPE_COUNTER","LENGTH_SHAPE_COUNTER","WIDTH_TEXTURE_COUNTER","HEIGHT_TEXTURE_COUNTER","CHANNEL_COUNTER","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","AXIS"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"counter",variable:"texture",setter:"initTexture",type:"texture"}]}},mul:{params:"\n// mul的input数据\n// 常量\n// 输入数据\nconst int length_shape_counter = LENGTH_SHAPE_COUNTER;\nconst int width_shape_counter = WIDTH_SHAPE_COUNTER;\nconst int height_shape_counter = HEIGHT_SHAPE_COUNTER;\nconst int width_texture_counter = WIDTH_TEXTURE_COUNTER;\nconst int height_texture_counter = HEIGHT_TEXTURE_COUNTER;\nconst int channel_counter = CHANNEL_COUNTER;\n\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\n\n// uniform变量\n// 输入数据\nuniform sampler2D texture_counter;\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    float res = 0.0;\n    // 获取output的坐标\n    ivec4 out_pos = getOutputTensorPosLIMIT_OUT();\n    for (int j = 0; j < width_shape_origin; j++) {\n        float c = getValueFromTensorPosLIMIT_COUNTER_counter(out_pos[0], out_pos[1], j, out_pos[3]);\n        float o = getValueFromTensorPosLIMIT_COUNTER_origin(out_pos[0], out_pos[1], out_pos[2], j);\n        res += c * o;\n    }\n    setOutput(res);\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"counter"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}}],conf:["LENGTH_SHAPE_COUNTER","WIDTH_SHAPE_COUNTER","HEIGHT_SHAPE_COUNTER","WIDTH_TEXTURE_COUNTER","HEIGHT_TEXTURE_COUNTER","CHANNEL_COUNTER","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"counter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},fc:{params:"\n// mul的input数据\n// 常量\n// 输入数据\n// weight\nconst int length_shape_weight = LENGTH_SHAPE_WEIGHT;\nconst int width_shape_weight = WIDTH_SHAPE_WEIGHT;\nconst int height_shape_weight = HEIGHT_SHAPE_WEIGHT;\nconst int width_texture_weight = WIDTH_TEXTURE_WEIGHT;\nconst int height_texture_weight = HEIGHT_TEXTURE_WEIGHT;\nconst int channel_weight = CHANNEL_WEIGHT;\n\n//input\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\n\n// bias\nconst int width_shape_bias = WIDTH_SHAPE_BIAS;\nconst int height_shape_bias = HEIGHT_SHAPE_BIAS;\nconst int length_shape_bias = LENGTH_SHAPE_BIAS;\nconst int width_texture_bias = WIDTH_TEXTURE_BIAS;\nconst int height_texture_bias = HEIGHT_TEXTURE_BIAS;\nconst int channel_bias = CHANNEL_BIAS;\n\n\n// uniform变量\n// 输入数据\nuniform sampler2D texture_weight;\nuniform sampler2D texture_origin;\nuniform sampler2D texture_bias;\n",func:"\n    // start函数\n    void main(void) {\n        float res = 0.0;\n        ivec4 out_pos = getOutputTensorPosLIMIT_OUT();\n        float bias = getValueFromTensorPosLIMIT_BIAS_bias(out_pos.r, out_pos.g, out_pos.b, out_pos.a);\n\n        for (int j = 0; j < width_shape_origin; j++) {\n            float w = getValueFromTensorPosLIMIT_WEIGHT_weight(out_pos[0], out_pos[1], j, out_pos[3]);\n            float o = getValueFromTensorPosLIMIT_ORIGIN_origin(out_pos[0], out_pos[1], out_pos[2], j);\n            res += w * o;\n        }\n\n        res = res + bias;\n        setOutput(res);\n    }\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"weight"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"bias"}}],conf:[],input:[{tensor:"weight",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"bias",variable:"texture",setter:"initTexture",type:"texture"}]}},concat:{params:"\n// mul的input数据\nconst int axis = AXIS;\n\n// 常量\n// 输入数据\nconst int length_shape_counter = LENGTH_SHAPE_COUNTER;\nconst int width_shape_counter = WIDTH_SHAPE_COUNTER;\nconst int height_shape_counter = HEIGHT_SHAPE_COUNTER;\nconst int width_texture_counter = WIDTH_TEXTURE_COUNTER;\nconst int height_texture_counter = HEIGHT_TEXTURE_COUNTER;\nconst int channel_counter = CHANNEL_COUNTER;\nconst int total_shape_counter = TOTAL_SHAPE_COUNTER;\n\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n\nconst int total_shape_out = TOTAL_SHAPE_OUT;\n\nconst int dim = DIM;\nconst int inputs_dim = INPUTS_DIM;\n\n\n// uniform变量\n// 输入数据\nuniform sampler2D texture_counter;\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    // 输出坐标转换为输入坐标\n//\tint sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;\n //   ivec4 new_oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);\n    float o = 0.0;\n    if (oPos[dim] > inputs_dim - 1) {\n        oPos[dim] = oPos[dim] - inputs_dim;\n        o = getValueFromTensorPosLIMIT_COUNTER_counter(oPos.r, oPos.g, oPos.b, oPos.a);\n    }\n    else {\n        o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);\n    }\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"counter"}},{func:"transferFromNHWCtoNCHW"}],conf:["LENGTH_SHAPE_COUNTER","WIDTH_SHAPE_COUNTER","HEIGHT_SHAPE_COUNTER","WIDTH_TEXTURE_COUNTER","HEIGHT_TEXTURE_COUNTER","CHANNEL_COUNTER","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"counter",variable:"texture",setter:"initTexture",type:"texture"}]}},concat_multi:{params:"\n// mul的input数据\nconst int axis = AXIS;\n\n// 常量\n// 输入数据\nconst int length_shape_counter = LENGTH_SHAPE_COUNTER;\nconst int width_shape_counter = WIDTH_SHAPE_COUNTER;\nconst int height_shape_counter = HEIGHT_SHAPE_COUNTER;\nconst int width_texture_counter = WIDTH_TEXTURE_COUNTER;\nconst int height_texture_counter = HEIGHT_TEXTURE_COUNTER;\nconst int channel_counter = CHANNEL_COUNTER;\nconst int total_shape_counter = TOTAL_SHAPE_COUNTER;\n\nconst int length_shape_appender = LENGTH_SHAPE_APPENDER;\nconst int width_shape_appender = WIDTH_SHAPE_APPENDER;\nconst int height_shape_appender = HEIGHT_SHAPE_APPENDER;\nconst int width_texture_appender = WIDTH_TEXTURE_APPENDER;\nconst int height_texture_appender = HEIGHT_TEXTURE_APPENDER;\nconst int channel_appender = CHANNEL_APPENDER;\nconst int total_shape_appender = TOTAL_SHAPE_APPENDER;\n\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n\nconst int total_shape_out = TOTAL_SHAPE_OUT;\n\nconst int dim = DIM;\nconst int inputs_dim = INPUTS_DIM;\nconst int append_num = APPEND_NUM;\n\n\n// uniform变量\n// 输入数据\nuniform sampler2D texture_counter;\nuniform sampler2D texture_appender;\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    // 输出坐标转换为输入坐标\n    float o = 0.0;\n    int dim_total = inputs_dim + append_num;\n\n    if (oPos[dim] < inputs_dim) {\n        o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);\n    }\n    else if (oPos[dim] < dim_total) {\n        o = getValueFromTensorPosLIMIT_COUNTER_counter(oPos.r, oPos.g - inputs_dim, oPos.b, oPos.a);\n    }\n    else {\n        o = getValueFromTensorPosLIMIT_APPENDER_appender(oPos.r, oPos.g - dim_total, oPos.b, oPos.a);\n    }\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"counter"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"appender"}},{func:"transferFromNHWCtoNCHW"}],conf:["LENGTH_SHAPE_COUNTER","WIDTH_SHAPE_COUNTER","HEIGHT_SHAPE_COUNTER","WIDTH_TEXTURE_COUNTER","HEIGHT_TEXTURE_COUNTER","CHANNEL_COUNTER","LENGTH_SHAPE_APPENDER","WIDTH_SHAPE_APPENDER","HEIGHT_SHAPE_APPENDER","WIDTH_TEXTURE_APPENDER","HEIGHT_TEXTURE_APPENDER","CHANNEL_APPENDER","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"counter",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"appender",variable:"texture",setter:"initTexture",type:"texture"}]}},split:{params:"\n// 常量\n\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n\nconst int total_shape_out = TOTAL_SHAPE_OUT;\n\nconst int dim = DIM;\nconst int num = NUM;\nconst int target_length = TARGET_LENGTH;\n\n\n// 输入数据\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    int length = int(target_length / num);\n    ivec4 oPos = getOutputTensorPos();\n    // 输出坐标转换为输入坐标\n\t//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;\n    //ivec4 new_oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);\n    oPos[dim] = oPos[dim] + layer_run_time * length;\n\tfloat o = getValueFromTensorPos_origin(oPos.r, oPos.g, oPos.b, oPos.a);\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"transferFromNHWCtoNCHW"}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},relu:O,relu6:O,scale:O,sigmoid:O,softmax:{params:"\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int axis = AXIS;\n// uniform变量\n// 输入数据\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    ivec4 oPos = getOutputTensorPos();\n    const int n = int(total_shape_origin/channel_origin/height_shape_origin/width_shape_origin);\n    float o = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[2], oPos[3]);\n    // 输出坐标转换为输入坐标\n    float total = 0.0;\n    float res = 0.0;\n    if (axis == 0) {\n        for (int i = 0; i < n; i++){\n        float temp = getValueFromTensorPos_origin(i, oPos[1], oPos[2], oPos[3]);\n        total += exp(temp);\n        }\n        res = exp(o) / total;\n    }\n    else if (axis == 1) {\n        for (int i = 0; i < channel_origin; i++){\n        float temp = getValueFromTensorPos_origin(oPos[0], i, oPos[2], oPos[3]);\n        total += exp(temp);\n        }\n        res = exp(o) / total;\n    }\n    else if (axis == 2) {\n        for (int i = 0; i < height_shape_origin; i++){\n        float temp = getValueFromTensorPos_origin(oPos[0], oPos[1], i, oPos[3]);\n        total += exp(temp);\n        }\n        res = exp(o) / total;\n    }\n    else {\n        for (int i = 0; i < width_shape_origin; i++){\n        float temp = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[2], i);\n        total += exp(temp);\n        }\n        res = exp(o) / total;\n    }\n    setOutput(res);\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},batchnorm:{params:"\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n// 计算数据\nconst float epsilon = float(EPSILON);\nconst int width_texture_bias = WIDTH_TEXTURE_BIAS;\nconst int height_texture_bias = HEIGHT_TEXTURE_BIAS;\nconst int width_texture_variance = WIDTH_TEXTURE_VARIANCE;\nconst int height_texture_variance = HEIGHT_TEXTURE_VARIANCE;\nconst int width_texture_mean = WIDTH_TEXTURE_MEAN;\nconst int height_texture_mean = HEIGHT_TEXTURE_MEAN;\nconst int width_texture_scale = WIDTH_TEXTURE_SCALE;\nconst int height_texture_scale = HEIGHT_TEXTURE_SCALE;\n// 输入数据\nuniform sampler2D texture_origin;\nuniform sampler2D texture_scale;\nuniform sampler2D texture_bias;\nuniform sampler2D texture_variance;\nuniform sampler2D texture_mean;\n",func:"\n// start函数\nvoid main(void) {\n    // 输出数据\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);\n\n    // 归一化数据\n    vec4 scale = getPixelsFromTexturePos_texture_scale(vec2( float(oPos.g) / float(width_texture_scale) + 0.00001, 0.0));\n    vec4 bias = getPixelsFromTexturePos_texture_bias(vec2( float(oPos.g) / float(width_texture_bias) + 0.00001, 0.0));\n    vec4 mean = getPixelsFromTexturePos_texture_mean(vec2((float(oPos.g)) / float(width_texture_mean)  + 0.00001, 0.0));\n    vec4 variance = getPixelsFromTexturePos_texture_variance(vec2((float(oPos.g)) / float(width_texture_variance)  + 0.00001, 0.0));\n\n    float x = (o - mean[0]) / sqrt(variance[0] + epsilon);\n    float res = scale[0] * x + bias[0];\n    setOutput(res);\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getPixelsFromTexturePos",conf:{TEXTURE_NAME:"texture_scale"}},{func:"getPixelsFromTexturePos",conf:{TEXTURE_NAME:"texture_bias"}},{func:"getPixelsFromTexturePos",conf:{TEXTURE_NAME:"texture_variance"}},{func:"getPixelsFromTexturePos",conf:{TEXTURE_NAME:"texture_mean"}},{func:"getPixelsFromTexturePos",conf:{TEXTURE_NAME:"texture_origin"}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","TOTAL_SHAPE_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","EPSILON","WIDTH_TEXTURE_SCALE","HEIGHT_TEXTURE_SCALE","WIDTH_TEXTURE_BIAS","HEIGHT_TEXTURE_BIAS","WIDTH_TEXTURE_MEAN","HEIGHT_TEXTURE_MEAN","WIDTH_TEXTURE_VARIANCE","HEIGHT_TEXTURE_VARIANCE","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"scale",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"bias",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"mean",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"variance",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},reshape2:{params:"\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n\n\n// 输入数据\n uniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    // 输出数据\n\tivec4 oPos = getOutputTensorPos();\n    // 输出坐标转换为输入坐标\n\tint sumVal = oPos.a + oPos.b * width_shape_out + oPos.g * height_shape_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;\n \tivec4 new_oPos = transferFromNHWCtoNCHW(sumVal, channel_origin, width_shape_origin, height_shape_origin, total_shape_origin);\n\tfloat o = getValueFromTensorPos_origin(new_oPos.r, new_oPos.g, new_oPos.b, new_oPos.a);\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"transferFromNHWCtoNCHW",conf:{}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},bilinear_interp:{params:"\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\nconst int total_shape_out = TOTAL_SHAPE_OUT;\nconst bool align_corners = ALIGN_CORNERS;\nconst int align_mode = ALIGN_MODE;\n// 输入数据\n uniform sampler2D texture_origin;\n",func:"\n// start函数\n\nvec4 getData(float n, float scale, bool align_flag, int in_len) {\n    float m = align_flag ? ((n + 0.5) / scale - 0.5) : (n / scale);\n    int a1 = int(floor(m));\n    a1 = a1 > 0 ? a1 : 0;\n    int a2 = (a1 + 1) < (in_len - 1) ? (a1 + 1) : (in_len - 1);\n\n    float idx_src = (n + 0.5) / scale - 0.5;\n    idx_src = idx_src > 0.0 ? idx_src : 0.0;\n    float b1 = align_flag ? (idx_src - float(a1)) : (n / scale - float(a1));\n    float b2 = 1.0 - b1;\n    return vec4(float(a1), float(a2), b1, b2);\n}\n\nvoid main(void) {\n    // 输出数据\n\tivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    // 输出坐标转换为输入坐标\n\t//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;\n \t//oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);\n\n    bool align_flag = align_mode == 0 && !align_corners;\n\n    float scale_x = 0.0;\n    float scale_y = 0.0;\n    if (align_corners) {\n        scale_x = float(width_shape_out - 1) / float(width_shape_origin - 1);\n        scale_y = float(height_shape_out - 1) / float(height_shape_origin - 1);\n    }\n    else {\n        scale_x = float(width_shape_out) / float(width_shape_origin);\n        scale_y = float(height_shape_out) / float(height_shape_origin);\n    }\n\n    vec4 vx = getData(float(oPos.a), scale_x, align_flag, width_shape_origin);\n    vec4 vy = getData(float(oPos.b), scale_y, align_flag, height_shape_origin);\n\n    int x1 = int(vx.r);\n    int x2 = int(vx.g);\n    float x3 = vx.b;\n    float x4 = vx.a;\n    int y1 = int(vy.r);\n    int y2 = int(vy.g);\n    float y3 = vy.b;\n    float y4 = vy.a;\n\n    float value11 = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, y1, x1);\n    float value12 = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, y2, x1);\n    float value21 = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, y1, x2);\n    float value22 = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, y2, x2);\n    float value = x4 * y4 * value11 + x4 * y3 * value12 + x3 * y4 * value21 + x3 * y3 * value22;\n    setOutput(float(value));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"transferFromNHWCtoNCHW",conf:{}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION","ALIGN_CORNERS","ALIGN_MODE"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},nearest_interp:{params:"\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\nconst int total_shape_out = TOTAL_SHAPE_OUT;\nconst bool align_corners = ALIGN_CORNERS;\nconst int align_mode = ALIGN_MODE;\n// 输入数据\n uniform sampler2D texture_origin;\n",func:"\n// start函数\n\nint getData(float n, float scale, bool align_corners) {\n    float m = align_corners ? (n / scale + 0.5) : (n / scale);\n    return int(floor(m));\n}\n\nvoid main(void) {\n    // 输出数据\n\tivec4 oPos = getOutputTensorPosLIMIT_OUT();\n\n    float scale_x = 0.0;\n    float scale_y = 0.0;\n    if (align_corners) {\n        scale_x = float(width_shape_out - 1) / float(width_shape_origin - 1);\n        scale_y = float(height_shape_out - 1) / float(height_shape_origin - 1);\n    }\n    else {\n        scale_x = float(width_shape_out) / float(width_shape_origin);\n        scale_y = float(height_shape_out) / float(height_shape_origin);\n    }\n\n    int vx = getData(float(oPos.a), scale_x, align_corners);\n    int vy = getData(float(oPos.b), scale_y, align_corners);\n\n    float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, vy, vx);\n    setOutput(o);\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"transferFromNHWCtoNCHW",conf:{}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION","ALIGN_CORNERS","ALIGN_MODE"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},transpose2:{params:"\n// 输入数据\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n\n\nconst int perm_size = PERM_SIZE;\nconst int perm_0 = PERM_0;\nconst int perm_1 = PERM_1;\nconst int perm_2 = PERM_2;\nconst int perm_3 = PERM_3;\n\n// 输入数据\n uniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    // 输出数据\n\tivec4 oPos = getOutputTensorPos();\n\t    // 重排遍历顺序\n\t//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;\n\t//ivec4 new_oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_origin);\n\n\t// 转置 坐标变换\n\t//oPos = new_oPos;\n\tfloat o = 0.0;\n\tif (perm_size == 1) {\n\t\to = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[2], oPos[3]);\n\t}\n\telse if (perm_size == 2) {\n\t\to = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[(2 + perm_0)>3?3:(2 + perm_0)], oPos[(2 + perm_1)>3?3:(2 + perm_1)]);\n\t}\n\telse if (perm_size == 3) {\n\t\to = getValueFromTensorPos_origin(oPos[0], oPos[(1 + perm_0)>3?3:(1 + perm_0)], oPos[(1 + perm_1)>3?3:(1 + perm_1)], oPos[(1 + perm_2)>3?3:(1 + perm_2)]);\n\t}\n\telse if (perm_size == 4) {\n\t\to = getValueFromTensorPos_origin(oPos[perm_0], oPos[perm_1], oPos[perm_2], oPos[perm_3]);\n\t}\n\n\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"transferFromNHWCtoNCHW",conf:{}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT","MULTI_VALUE","BIAS_VALUE","ACTIVE_FUNCTION"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"}]}},box_coder_encode:{params:"\n// mul的input数据\n// 常量\nconst bool normalized = bool(NORMALIZED);\nconst int axis = AXIS;\n// 输入数据\nconst int width_shape_priorbox = WIDTH_SHAPE_PRIORBOX;\nconst int height_shape_priorbox = HEIGHT_SHAPE_PRIORBOX;\nconst int length_shape_priorbox = LENGTH_SHAPE_PRIORBOX;\nconst int width_texture_priorbox = WIDTH_TEXTURE_PRIORBOX;\nconst int height_texture_priorbox = HEIGHT_TEXTURE_PRIORBOX;\nconst int channel_priorbox = CHANNEL_PRIORBOX;\n\nconst int length_shape_boxvar = LENGTH_SHAPE_BOXVAR;\nconst int width_shape_boxvar = WIDTH_SHAPE_BOXVAR;\nconst int height_shape_boxvar = HEIGHT_SHAPE_BOXVAR;\nconst int width_texture_boxvar = WIDTH_TEXTURE_BOXVAR;\nconst int height_texture_boxvar = HEIGHT_TEXTURE_BOXVAR;\nconst int channel_boxvar = CHANNEL_BOXVAR;\n\nconst int length_shape_targetbox = LENGTH_SHAPE_TARGETBOX;\nconst int width_shape_targetbox = WIDTH_SHAPE_TARGETBOX;\nconst int height_shape_targetbox = HEIGHT_SHAPE_TARGETBOX;\nconst int width_texture_targetbox = WIDTH_TEXTURE_TARGETBOX;\nconst int height_texture_targetbox = HEIGHT_TEXTURE_TARGETBOX;\nconst int channel_targetbox = CHANNEL_TARGETBOX;\n\n// uniform变量\n// 输入数据\nuniform sampler2D texture_targetbox;\nuniform sampler2D texture_priorbox;\nuniform sampler2D texture_boxvar;\n",func:"\n// start函数\nvec2 getPriorBoxData(int r, int g, int b, int m, int n) {\n    float start = getValueFromTensorPosLIMIT_PRIORBOX_priorbox(r, g, b, m);\n    float end = getValueFromTensorPosLIMIT_PRIORBOX_priorbox(r, g, b, n);\n    float len = end - start;\n    return vec2(start + len / 2.0, len);\n}\nvec2 getBoxVarData(int r, int g, int b, int m, int n) {\n    return vec2(\n        getValueFromTensorPosLIMIT_BOXVAR_boxvar(r, g, b, m),\n        getValueFromTensorPosLIMIT_BOXVAR_boxvar(r, g, b, n)\n    );\n}\nvec2 getTargetBoxData(int r, int g, int b, int m, int n) {\n    float start = getValueFromTensorPosLIMIT_TARGETBOX_targetbox(r, g, b, m);\n    float end = getValueFromTensorPosLIMIT_TARGETBOX_targetbox(r, g, b, n);\n    float len = end - start;\n    return vec2(start + len / 2.0, len);\n}\n\nvoid main(void) {\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    int r = int(oPos.r);\n    int g = int(oPos.g);\n    int b = int(oPos.b);\n    int a = int(oPos.a);\n    // 输出坐标转换为输入坐标\n    float o = 0.0;\n\n    int m = 0;\n    int n = 0;\n    if (a == 0 || a == 1) {\n        m = 0;\n        n = 2;\n    }\n    else {\n        m = 1;\n        n = 3;\n    }\n    vec2 priorbox = getPriorBoxData(r, g, b, m, n);\n    vec2 boxvar = getBoxVarData(r, g, b, m, n);\n    vec2 targetbox = getTargetBoxData(r, g, b, m, n);\n    float p1 = priorbox.r;\n    float p2 = priorbox.g;\n    float t1 = targetbox.r;\n    float t2 = targetbox.g;\n    float v1 = boxvar.r;\n    float v2 = boxvar.g;\n\n    if (a == 0 || a == 1) {\n        o = (t1 - p1) / p2 / v1;\n    }\n    else {\n        o = log(abs(t2 / p2)) / v2;\n    }\n\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"priorbox"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"boxvar"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"targetbox"}}],conf:["LENGTH_SHAPE_PRIORBOX","WIDTH_SHAPE_PRIORBOX","HEIGHT_SHAPE_PRIORBOX","WIDTH_TEXTURE_PRIORBOX","HEIGHT_TEXTURE_PRIORBOX","CHANNEL_PRIORBOX","WIDTH_SHAPE_BOXVAR","HEIGHT_SHAPE_BOXVAR","LENGTH_SHAPE_BOXVAR","WIDTH_TEXTURE_BOXVAR","HEIGHT_TEXTURE_BOXVAR","CHANNEL_BOXVAR","WIDTH_SHAPE_TARGETBOX","HEIGHT_SHAPE_TARGETBOX","LENGTH_SHAPE_TARGETBOX","WIDTH_TEXTURE_TARGETBOX","HEIGHT_TEXTURE_TARGETBOX","CHANNEL_TARGETBOX","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"priorbox",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"boxvar",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"targetbox",variable:"texture",setter:"initTexture",type:"texture"}]}},box_coder_decode:{params:"\n// mul的input数据\n// 常量\nconst bool normalized = bool(NORMALIZED);\nconst int axis = AXIS;\n// 输入数据\nconst int width_shape_priorbox = WIDTH_SHAPE_PRIORBOX;\nconst int height_shape_priorbox = HEIGHT_SHAPE_PRIORBOX;\nconst int length_shape_priorbox = LENGTH_SHAPE_PRIORBOX;\nconst int width_texture_priorbox = WIDTH_TEXTURE_PRIORBOX;\nconst int height_texture_priorbox = HEIGHT_TEXTURE_PRIORBOX;\nconst int channel_priorbox = CHANNEL_PRIORBOX;\n\nconst int length_shape_boxvar = LENGTH_SHAPE_BOXVAR;\nconst int width_shape_boxvar = WIDTH_SHAPE_BOXVAR;\nconst int height_shape_boxvar = HEIGHT_SHAPE_BOXVAR;\nconst int width_texture_boxvar = WIDTH_TEXTURE_BOXVAR;\nconst int height_texture_boxvar = HEIGHT_TEXTURE_BOXVAR;\nconst int channel_boxvar = CHANNEL_BOXVAR;\n\nconst int length_shape_targetbox = LENGTH_SHAPE_TARGETBOX;\nconst int width_shape_targetbox = WIDTH_SHAPE_TARGETBOX;\nconst int height_shape_targetbox = HEIGHT_SHAPE_TARGETBOX;\nconst int width_texture_targetbox = WIDTH_TEXTURE_TARGETBOX;\nconst int height_texture_targetbox = HEIGHT_TEXTURE_TARGETBOX;\nconst int channel_targetbox = CHANNEL_TARGETBOX;\n\n// uniform变量\n// 输入数据\nuniform sampler2D texture_targetbox;\nuniform sampler2D texture_priorbox;\nuniform sampler2D texture_boxvar;\n",func:"\n// start函数\nvec2 getPriorBoxData(int r, int g, int b, int m, int n) {\n    float start = getValueFromTensorPosLIMIT_PRIORBOX_priorbox(r, g, b, m);\n    float end = getValueFromTensorPosLIMIT_PRIORBOX_priorbox(r, g, b, n);\n    float len = end - start;\n    return vec2(start + len / 2.0, len);\n}\nvec2 getBoxVarData(int r, int g, int b, int m, int n) {\n    return vec2(\n        getValueFromTensorPosLIMIT_BOXVAR_boxvar(r, g, b, m),\n        getValueFromTensorPosLIMIT_BOXVAR_boxvar(r, g, b, n)\n    );\n}\nvec2 getTargetBoxData(int r, int g, int b, int m, int n) {\n    return vec2(\n        getValueFromTensorPosLIMIT_TARGETBOX_targetbox(r, g, b, m),\n        getValueFromTensorPosLIMIT_TARGETBOX_targetbox(r, g, b, n)\n    );\n}\n\nvoid main(void) {\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    int r = int(oPos.r);\n    int g = int(oPos.g);\n    int b = int(oPos.b);\n    int a = int(oPos.a);\n    // 输出坐标转换为输入坐标\n    float o = 0.0;\n\n    int m = 0;\n    int n = 0;\n    if (a == 0 || a == 2) {\n        m = 0;\n        n = 2;\n    }\n    else {\n        m = 1;\n        n = 3;\n    }\n    vec2 priorbox = getPriorBoxData(r, g, b, m, n);\n    vec2 boxvar = getBoxVarData(r, g, b, m, n);\n    vec2 targetbox = getTargetBoxData(r, g, b, m, n);\n    float p1 = priorbox.r;\n    float p2 = priorbox.g;\n    float t1 = targetbox.r;\n    float t2 = targetbox.g;\n    float v1 = boxvar.r;\n    float v2 = boxvar.g;\n\n    float b1 = p2 * v1 * t1 + p1;\n    float b2 = exp(v2 * t2) * p2;\n    if (a == 0 || a == 1) {\n        o = b1 - b2 / 2.0;\n    }\n    else {\n        o = b1 + b2 / 2.0;\n    }\n\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"priorbox"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"boxvar"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"targetbox"}}],conf:["LENGTH_SHAPE_PRIORBOX","WIDTH_SHAPE_PRIORBOX","HEIGHT_SHAPE_PRIORBOX","WIDTH_TEXTURE_PRIORBOX","HEIGHT_TEXTURE_PRIORBOX","CHANNEL_PRIORBOX","WIDTH_SHAPE_BOXVAR","HEIGHT_SHAPE_BOXVAR","LENGTH_SHAPE_BOXVAR","WIDTH_TEXTURE_BOXVAR","HEIGHT_TEXTURE_BOXVAR","CHANNEL_BOXVAR","WIDTH_SHAPE_TARGETBOX","HEIGHT_SHAPE_TARGETBOX","LENGTH_SHAPE_TARGETBOX","WIDTH_TEXTURE_TARGETBOX","HEIGHT_TEXTURE_TARGETBOX","CHANNEL_TARGETBOX","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"priorbox",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"boxvar",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"targetbox",variable:"texture",setter:"initTexture",type:"texture"}]}},prior_box:{params:"\n// 常量\n\nMIN_SIZES_CODE\nconst int min_sizes_len = MIN_LEN;\n\nMAX_SIZES_CODE\nconst int max_sizes_len = MAX_LEN;\n\nASPECT_RATIOS_CODE\nconst int aspect_ratios_len = ASPECT_LEN;\n\nVARIANCE_CODE\n\nconst bool flip = FLIP;\nconst bool clip = CLIP;\nconst float offsets = OFFSETS;\nconst float step_w = STEP_W;\nconst float step_h = STEP_H;\nconst bool min_max_aspect_ratios_order = MIN_MAX_ASPECT_ORDER;\nconst float epsilon = EPSILON;\n\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n\nconst int width_shape_image = WIDTH_SHAPE_IMAGE;\nconst int height_shape_image = HEIGHT_SHAPE_IMAGE;\nconst int length_shape_image = LENGTH_SHAPE_IMAGE;\nconst int width_texture_image = WIDTH_TEXTURE_IMAGE;\nconst int height_texture_image = HEIGHT_TEXTURE_IMAGE;\nconst int channel_image = CHANNEL_IMAGE;\nconst int total_shape_image = TOTAL_SHAPE_IMAGE;\n\n\nconst int total_shape_out = TOTAL_SHAPE_OUT;\n\n// const int dim = DIM;\n// const int num = NUM;\n// const int target_length = TARGET_LENGTH;\n\n\n// 输入数据\nuniform sampler2D texture_origin;\nuniform sampler2D texture_image;\n",func:"\n// start函数\nvoid main(void) {\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n\n    float h_i = float(oPos.r);\n    float w_i = float(oPos.g);\n    float prior_i = float(oPos.b);\n    int a = oPos.a;\n\n    // layer_run_time为1时，输出Variance tensor; 为0时，输出Boxes tensor\n    if (layer_run_time == 1) {\n        // getVariance();\n        setOutput(getVariance(a));\n        return;\n    }\n\n    // 读取min_sizes, max_sizes, aspectRatios数组\n    // getMinSizes();\n    // getMaxSizes();\n    // getAspectRatios();\n\n    float o = 0.0;\n    float cx = (w_i + offsets) * step_w;\n    float cy = (h_i + offsets) * step_h;\n\n    float min_max_aspect_len = float(min_sizes_len + max_sizes_len + aspect_ratios_len);\n\n    int min_size_i = int(floor(prior_i / min_max_aspect_len));\n    int min_max_aspect_i = int(mod(prior_i, min_max_aspect_len));\n\n    float box_width = 0.0;\n    float box_height = 0.0;\n    float min_size = getMinSizes(min_size_i);\n    if (bool(min_max_aspect_ratios_order)) {\n        // 候选框的输出以[min, max, aspect_ratios]的顺序输出\n        if (min_max_aspect_i < min_sizes_len) {\n            box_width = box_height = min_size / 2.0;\n\n        }\n        else if (bool(max_sizes_len) && (min_max_aspect_i < (min_sizes_len + max_sizes_len))) {\n            float max_size = getMaxSizes(min_size_i);\n            box_width = box_height = sqrt(min_size * max_size)/ 2.0;\n        }\n        else {\n            float ar = getAspectRatios(min_max_aspect_i - min_sizes_len - max_sizes_len);\n            box_width = min_size * sqrt(ar) / 2.;\n            box_height = min_size / sqrt(ar) / 2.;\n        }\n\n        float prefix = (a == 0 || a == 1) ? -1.0 : 1.0;\n        if (a == 0 || a == 2) {\n            o = (cx + prefix * box_width) / float(width_shape_image);\n        }\n        else {\n            o = (cy + prefix * box_height) / float(height_shape_image);\n        }\n    }\n    else {\n        // 文档里没有写这种逻辑，paddle跟paddle-lite源码逻辑是先输出aspect_ratios在输出max_size，没有min_size，先补上吧…\n        if (min_max_aspect_i < aspect_ratios_len) {\n            float ar = getAspectRatios(min_max_aspect_i - min_sizes_len - max_sizes_len);\n            box_width = min_size * sqrt(ar) / 2.;\n            box_height = min_size / sqrt(ar) / 2.;\n\n        }\n        else if (bool(max_sizes_len) && (min_max_aspect_i < aspect_ratios_len + max_sizes_len)) {\n            float max_size = getMaxSizes(min_size_i);\n            box_width = box_height = sqrt(min_size * max_size)/ 2.0;\n        }\n        else {\n            box_width = box_height = min_size / 2.0;\n        }\n\n        box_width = (a == 0 || a == 1) ? (box_width * -1.0) : box_width;\n        if (a == 0 || a == 2) {\n            o = (cx + box_width) / float(width_shape_image);\n        }\n        else {\n            o = (cy + box_height) / float(height_shape_image);\n        }\n    }\n\n    if (clip) {\n        o = min(max(0.0, o), 1.0);\n    }\n\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"image"}}],conf:["WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","WIDTH_SHAPE_IMAGE","HEIGHT_SHAPE_IMAGE","LENGTH_SHAPE_IMAGE","WIDTH_TEXTURE_IMAGE","HEIGHT_TEXTURE_IMAGE","CHANNEL_IMAGE","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"image",variable:"texture",setter:"initTexture",type:"texture"}]}},connect:{params:"\n// mul的input数据\n// 常量\n// 输入数据\nNUMBERS_SHAPE_COUNTER\nNUMBERS_SHAPE_ORIGIN\nconst int length_shape_counter = LENGTH_SHAPE_COUNTER;\nconst int width_shape_counter = WIDTH_SHAPE_COUNTER;\nconst int height_shape_counter = HEIGHT_SHAPE_COUNTER;\nconst int width_texture_counter = WIDTH_TEXTURE_COUNTER;\nconst int height_texture_counter = HEIGHT_TEXTURE_COUNTER;\nconst int channel_counter = CHANNEL_COUNTER;\nconst int total_shape_counter = TOTAL_SHAPE_COUNTER;\n\nconst int width_shape_origin = WIDTH_SHAPE_ORIGIN;\nconst int height_shape_origin = HEIGHT_SHAPE_ORIGIN;\nconst int length_shape_origin = LENGTH_SHAPE_ORIGIN;\nconst int width_texture_origin = WIDTH_TEXTURE_ORIGIN;\nconst int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;\nconst int channel_origin = CHANNEL_ORIGIN;\nconst int total_shape_origin = TOTAL_SHAPE_ORIGIN;\n\nconst int total_shape_out = TOTAL_SHAPE_OUT;\n\n\n\n// uniform变量\n// 输入数据\nuniform sampler2D texture_counter;\nuniform sampler2D texture_origin;\n",func:"\n// start函数\nvoid main(void) {\n    ivec4 oPos = getOutputTensorPosLIMIT_OUT();\n    float o = 0.0;\n    ivec4 co;\n    if (oPos.a < total_shape_origin) {\n        // 取自origin\n        getNumbersShapeOrigin();\n        co = getTensorPosFromArrayIndex_origin(oPos.a);\n        o = getValueFromTensorPosLIMIT_ORIGIN_origin(co.r, co.g, co.b, co.a);\n    }\n    else {\n        // 取自counter\n        getNumbersShapeCounter();\n        co = getTensorPosFromArrayIndex_counter(oPos.a - total_shape_origin);\n        o = getValueFromTensorPosLIMIT_COUNTER_counter(co.r, co.g, co.b, co.a);\n    }\n\tsetOutput(float(o));\n}\n",confs:{dep:[{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"origin"}},{func:"getTensorPosFromArrayIndex",conf:{TENSOR_NAME:"origin",TENSOR_TYPE:"vec4"}},{func:"getValueFromTensorPos",conf:{TENSOR_NAME:"counter"}},{func:"getTensorPosFromArrayIndex",conf:{TENSOR_NAME:"counter",TENSOR_TYPE:"vec4"}},{func:"transferFromNHWCtoNCHW"}],conf:["LENGTH_SHAPE_COUNTER","WIDTH_SHAPE_COUNTER","HEIGHT_SHAPE_COUNTER","WIDTH_TEXTURE_COUNTER","HEIGHT_TEXTURE_COUNTER","CHANNEL_COUNTER","NUMBERS_SHAPE_COUNTER","WIDTH_SHAPE_ORIGIN","HEIGHT_SHAPE_ORIGIN","LENGTH_SHAPE_ORIGIN","WIDTH_TEXTURE_ORIGIN","HEIGHT_TEXTURE_ORIGIN","CHANNEL_ORIGIN","NUMBERS_SHAPE_ORIGIN","WIDTH_SHAPE_OUT","HEIGHT_SHAPE_OUT","WIDTH_TEXTURE_OUT","HEIGHT_TEXTURE_OUT","CHANNEL_OUT","OFFSET_Y_OUT"],input:[{tensor:"origin",variable:"texture",setter:"initTexture",type:"texture"},{tensor:"counter",variable:"texture",setter:"initTexture",type:"texture"}]}}},atoms:{getArrayIndexFromTensorPos:"\n\nint getArrayIndexFromTensorPos_TENSOR_NAME(TENSOR_TYPE tensorPos) {\n    int index = 0;\n    for (int i = 0; i < length_shape_TENSOR_NAME; i++) {\n        index += tensorPos[i] * numbers_shape_TENSOR_NAME[i];\n    }\n    return index;\n}\n",getArrayIndexFromTexturePos:"\nint getArrayIndexFromTexturePos_TEXTURE_NAME(vec3 pos) {\n    int x = int(floor(pos.x));\n    int y = int(floor(pos.y));\n    int d = int(floor(pos.z));\n    return (width_TEXTURE_NAME * y + x) * 4 + d;\n}\n",getTensorPosFromArrayIndex:"\niTENSOR_TYPE getTensorPosFromArrayIndex_TENSOR_NAME(int n) {\n    iTENSOR_TYPE pos;\n    pos[0] = n / numbers_shape_TENSOR_NAME[0];\n    for (int i = 1; i < length_shape_TENSOR_NAME; i++) {\n        n = int(mod(float(n), float(numbers_shape_TENSOR_NAME[i - 1])));\n        pos[i] = n / numbers_shape_TENSOR_NAME[i];\n    }\n    return pos;\n}\n",getTexturePosFromArrayIndex:"\nvec3 getTexturePosFromArrayIndex_TEXTURE_NAME(int n) {\n    vec3 pos;\n    pos.z = mod(float(n), 4.0);\n    n /= 4;\n    int y = n / width_TEXTURE_NAME;\n    float width = float(width_TEXTURE_NAME);\n    float x = mod(float(n), width);\n    pos.x = x / width;\n    pos.y = float(y) / float(height_TEXTURE_NAME);\n    return pos;\n}\n",getValueFromTexturePos:"\nfloat getValueFromTexturePos_TEXTURE_NAME(vec3 pos) {\n    vec4 pixels = TEXTURE2D(TEXTURE_NAME, pos.xy);\n    int d = int(pos.z);\n    if (d == 0) {\n        return pixels.r;\n    } else if (d == 1) {\n        return pixels.g;\n    } else if (d == 2) {\n        return pixels.b;\n    }\n    return pixels.a;\n}\n",getValueFromTensorPos:"\n// 根据tensor坐标获取这个tensor位置的值\nfloat getValueFromTensorPos_TENSOR_NAME(int r, int g, int b, int a) {\n    vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,\n        vec2(\n            (float(a * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),\n            (float(r * height_shape_TENSOR_NAME + b) + 0.5) / float(height_texture_TENSOR_NAME)\n        )\n    );\n    // 只用了r通道\n    return pixels.r;\n}\n\n// 超限布局根据tensor坐标获取这个tensor位置的值\nfloat getValueFromTensorPosLimit_TENSOR_NAME(int r, int g, int b, int a) {\n    float pieceW = ceil(float(width_shape_TENSOR_NAME) / 4.0);\n    int x = int(mod(float(a), pieceW));\n    int offsetY = 0;\n\n    if ((float(a) / pieceW) >= 3.0) {\n        offsetY = 3 * height_shape_TENSOR_NAME;\n    }\n    else if (float(a) / pieceW >= 2.0) {\n        offsetY = 2 * height_shape_TENSOR_NAME;\n    }\n    else if (float(a) >= pieceW) {\n        offsetY = height_shape_TENSOR_NAME;\n    }\n    vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,\n        vec2(\n            (float(x * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),\n            (float(r * 4 * height_shape_TENSOR_NAME + b + offsetY) + 0.5) / float(height_texture_TENSOR_NAME)\n        )\n    );\n    return pixels.r;\n}\n\n",getValueFromTensorPosPacked:"\nfloat getValueFromTensorPosPacked_TENSOR_NAME(int r, int g, int b, int a) {\n    int y = b / 2;\n    int yOffset = int(mod(float(b), 2.0));\n    int x = a / 2;\n    int xOffset = int(mod(float(a), 2.0));\n    int height = height_shape_TENSOR_NAME + offset_y_TENSOR_NAME;\n    vec4 pixels = TEXTURE2D(texture_TENSOR_NAME, vec2((float(x) + 0.5) / float(width_texture_TENSOR_NAME), (float(g * height / 2 + y) + 0.5) / float(height_texture_TENSOR_NAME)));\n    int index = 0;\n    if (xOffset == 0 && yOffset == 0) {\n        return pixels[0];\n    } \n    else if (xOffset == 1 && yOffset == 0) {\n        return pixels[1];\n    }\n    else if (xOffset == 0 && yOffset == 1) {\n        return pixels[2];\n    }\n    return pixels[3];\n}\n",moveTexture2PosToReal:"\n\n// vec2 moveTexture2PosToReal_TEXTURE_NAME(vec2 v) {\n//     return v * _2d_shape_TEXTURE_NAME;\n//     // vec2 v2;\n//     // v2.x = v.x * float(width_TEXTURE_NAME);\n//     // v2.y = v.y * float(height_TEXTURE_NAME);\n//     // return v2;\n// }\n\nvec2 moveTexture2PosToReal_TEXTURE_NAME(vec2 v) {\n    vec2 v2;\n    v2.x = v.x * float(width_TEXTURE_NAME);\n    v2.y = v.y * float(height_TEXTURE_NAME);\n    return v2;\n}\n",getPixelsFromTexturePos:"\n#define getPixelsFromTexturePos_TEXTURE_NAME(pos) TEXTURE2D(TEXTURE_NAME, pos)\n",getRangeSumFromArrayIndex:"\nfloat getRangeSumFromArrayIndex_TEXTURE_NAME(int start) {\n    float result = 0.0;\n    for (int i = 0; i < (width_shape_TENSOR_NAME * height_shape_TENSOR_NAME); i++) {\n        vec3 pos = getTexturePosFromArrayIndex_TEXTURE_NAME(i + start);\n        result += getValueFromTexturePos_TEXTURE_NAME(pos); \n    }\n    return result;\n}\n",getRangePowSumFromArrayIndex:"\nfloat getRangePowSumFromArrayIndex_TEXTURE_NAME(int start, float p, float mean) {\n    float result = 0.0;\n    for (int i = 0; i < (width_shape_TENSOR_NAME * height_shape_TENSOR_NAME); i++) {\n        vec3 pos = getTexturePosFromArrayIndex_TEXTURE_NAME(i + start);\n        result += pow(getValueFromTexturePos_TEXTURE_NAME(pos) - mean, p); \n    }\n    return result;\n}\n",sigmoid:"\nfloat sigmoid(float x, float y, float z) {\n    float result = 1.0 / (1.0 + exp(-x));\n    return result;\n}\n",prelu:"\nfloat prelu(float x, float p, float b) {\n    float result = x;\n    if (x < 0.0) {\n        result = x * p;\n    }\n    return result;\n}\n",scale:"\nfloat scale(float x, float p, float b) {\n    float result = p * x + b;\n    return result;\n}\n",softmax:"\nfloat softmax(float x, float p, float b) {\n    float result = x;\n    if (x < 0.0) {\n        result = x * p;\n    }\n    return result;\n}\n",transferFromNHWCtoNCHW:"\nivec4 transferFromNHWCtoNCHW( int sumVal,  const int channel, const int width_shape, const int height_shape, const int total_shape) {\n\n\tint n_origin = int(total_shape/(channel * width_shape * height_shape));\n\tint new_a = int(mod(float(sumVal), float(width_shape)));\n\tsumVal = int((sumVal - new_a) / width_shape);\n\tint new_b = int(mod(float(sumVal), float(height_shape)));\n\tsumVal = int((sumVal - new_b) / height_shape);\n\tint new_g = int(mod(float(sumVal), float(channel)));\n\tsumVal = int((sumVal - new_g) / channel);\n\tint new_r = int(mod(float(sumVal), float(n_origin)));\n\treturn ivec4(new_r,new_g,new_b,new_a);\n}\n"}},y=function(){function t(e){l()(this,t),this.defaultOpts=Object.assign({},e),this.webglVersion=2,this.isFrameBufferSupportFloat=!0,this.texture2d="texture"}return h()(t,[{key:"setWebglVersion",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:0;this.webglVersion=t,1===t&&(this.texture2d="texture2D")}},{key:"setIsFrameBufferSupportFloat",value:function(){var t=!(arguments.length>0&&void 0!==arguments[0])||arguments[0];this.isFrameBufferSupportFloat=t}},{key:"setIsFloatTextureReadPixelsEnabled",value:function(){var t=!(arguments.length>0&&void 0!==arguments[0])||arguments[0];this.isFloatTextureReadPixelsEnabled=t}},{key:"buildShader",value:function(t,e){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0,o="";return o=this.buildPrefix(r),o+=this.buildCommon(t),o+=void 0!==n?this.buildRuntime(n):"",o+=this.buildOp(t),e.texture2d=this.texture2d,o=this.populateData(o,e)}},{key:"buildPrefix",value:function(t){return 1===this.webglVersion?this.isFrameBufferSupportFloat?A.common.prefix:t&&!this.isFloatTextureReadPixelsEnabled?A.common.prefixUint:A.common.prefixHalf:A.common.prefix2}},{key:"buildCommon",value:function(t){return A.common.params+A.common.func}},{key:"buildRuntime",value:function(t){return"\n            int layer_run_time = ".concat(t,";\n        ")}},{key:"buildOp",value:function(t){var e=this,n=A.ops[t].params,r=A.atoms;return(A.ops[t].confs.dep||[]).map((function(t){var o=t.func,i=t.conf,a=r[o];n+=e.populateData(a,i)})),n+=this.buildSuffix(t),n+=A.ops[t].func}},{key:"buildSuffix",value:function(t){return A.common.suffix}},{key:"populateData",value:function(t,e){var n=t;for(var r in e)n=n.replace(new RegExp(r.toUpperCase(),"g"),void 0===e[r]?1:e[r]);return n}},{key:"getOpConfs",value:function(){var t={};for(var e in A.ops)A.ops.hasOwnProperty(e)&&(t[e]=A.ops[e].confs.input);return t}}]),t}(),N=function(){function t(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};l()(this,t),this.gpu=new H(e)}var e;return h()(t,[{key:"getWebglVersion",value:function(){return this.gpu.getWebglVersion()}},{key:"getWebglMaxTextureSize",value:function(){return this.gpu.getWebglMaxTextureSize()}},{key:"getWebglMaxTextureImageUnits",value:function(){return this.gpu.maxTextureImageUnits()}},{key:"getIsFrameBufferSupportFloat",value:function(){return this.gpu.getIsFrameBufferSupportFloat()}},{key:"getIsFloatTextureReadPixelsEnabled",value:function(){return this.gpu.getIsFloatTextureReadPixelsEnabled()}},{key:"run",value:function(t,e,n){var r=this;if(!e.isPass)return console.log("跳过当前op："+t),this;var o=this.gpu;e.program.forEach((function(t,i){var a=e.outputTensors[i],s=a.tensorId;o.setOutProps(a),o.attachFrameBuffer(e.iLayer,s),o.setProgram(t,n),r.gpu.render(e.renderData,e.iLayer,n,i)}))}},{key:"read2",value:function(){return this.gpu.frameBufferIsComplete().isComplete?this.gpu.compute():null}},{key:"read",value:(e=u()(a.a.mark((function t(){var e;return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return e=this.gpu.createPBO(),t.next=3,this.gpu.createAndWaitForFence();case 3:return t.abrupt("return",this.gpu.downloadFoat32TensorFromBuffer(e));case 4:case"end":return t.stop()}}),t,this)}))),function(){return e.apply(this,arguments)})},{key:"createProgram",value:function(t,e,n){var r=this.gpu.initShader(t,"fragment");return this.gpu.createProgram(r,e,n)}},{key:"dispose",value:function(){this.gpu.dispose()}}]),t}(),P=n(14),S=n.n(P);function b(t,e){var n;if("undefined"==typeof Symbol||null==t[Symbol.iterator]){if(Array.isArray(t)||(n=function(t,e){if(!t)return;if("string"==typeof t)return w(t,e);var n=Object.prototype.toString.call(t).slice(8,-1);"Object"===n&&t.constructor&&(n=t.constructor.name);if("Map"===n||"Set"===n)return Array.from(t);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return w(t,e)}(t))||e&&t&&"number"==typeof t.length){n&&(t=n);var r=0,o=function(){};return{s:o,n:function(){return r>=t.length?{done:!0}:{done:!1,value:t[r++]}},e:function(t){throw t},f:o}}throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}var i,a=!0,s=!1;return{s:function(){n=t[Symbol.iterator]()},n:function(){var t=n.next();return a=t.done,t},e:function(t){s=!0,i=t},f:function(){try{a||null==n.return||n.return()}finally{if(s)throw i}}}}function w(t,e){(null==e||e>t.length)&&(e=t.length);for(var n=0,r=new Array(e);n<e;n++)r[n]=t[n];return r}var G=null,U={setTextureMaxSize:function(t){G=t},getQueryTime:function(t,e){return t.getQueryParameter(e,t.QUERY_RESULT)},beginQuery:function(t,e){if(2===e){var n=t.getExtension("EXT_disjoint_timer_query_webgl2");if(!n)return;var r=t.createQuery();return t.beginQuery(n.TIME_ELAPSED_EXT,r),r}return null},endQuery:function(t,e,n){if(2===e){var r=t.getExtension("EXT_disjoint_timer_query_webgl2");if(!r)return;t.endQuery(r.TIME_ELAPSED_EXT)}return n},getReshapeInPaddle:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[],n=t.reduce((function(t,e){return t*e}));return 1===e.length?[1,n]:[e[0],n/e[0]]},getBroadcastShapeInPaddle:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:[],n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=t,o=e;return t.length-e.length<0&&(r=e,o=t),o.concat(r.slice(n))},getBroadcastDims:function(){for(var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:[],n=t.length,r=[],o=0;o<n;o++){var i=n-1-o,a=t[i]||1,s=e[e.length-1-o]||1;s>1&&1===a&&r.unshift(i)}return r},getBroadcastShape:function(){for(var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:[],n=[],r=Math.max(t.length,e.length),o=0;o<r;o++){var i=t[t.length-o-1];null===i&&(i=1);var a=e[e.length-o-1];if(null===a&&(a=1),1===i)n.unshift(a);else if(1===a)n.unshift(i);else{if(i!==a)return null;n.unshift(i)}}return n},applyFilterWinograd:function(t,e){for(var n=o()(e,4),r=n[0],i=n[1],a=(n[2],n[3],0),s=0,u=new Float32Array(r*i*16),c=0;c<r;c++)for(var l=0;l<i;l++){var 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e&&(a=n*r*Math.ceil(o/2),s=Math.ceil(i/2),u=i%2,c=o%2),{offsetX:u,offsetY:c,exceedMax:l,shape:[4,a,s],zeroNumber:0}},getMaxItem:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=Math.max.apply(null,t),n=t.indexOf(e);return{value:e,index:n}},loadShader:function(t){var e=this;return u()(a.a.mark((function n(){var r;return a.a.wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,fetch(e.getShaderFile(t));case 2:return r=n.sent,n.abrupt("return",r.text());case 4:case"end":return n.stop()}}),n)})))()},getShaderFile:function(t){var e=t.split("/");return"/"+e[e.length-1]},img2texture:function(){for(var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},e=t.height_texture,n=t.width_texture,r=t.shape,o=e*n*4,i=r[0],a=r[1],s=r[2],u=r[3],c=new Float32Array(i*a*s*u*4),l=0,_=0;_<o;_++){var h=_/(a*u)|0,f=_%(a*u),p=h/s|0,T=h%s,E=f%a,d=f/a|0,g=p*(a*s*u)+E*(s*u)+T*u+d;c[l]=t.data[g],l+=4}t.data=c},padToFourDimShape:function(t){var e=[];if(4==t.length)e=t;else if(t.length<4){for(var n=0;n<4-t.length;n++)e.push(1);e=e.concat(t)}return e},convertDataToMultiDim:function(t,e){var n,r=function(t,e){for(var n=[],r=0,o=Math.ceil(t.length/e);r<o;r++)n.push(t.slice(r*e,(r+1)*e));return n},o=t,i=b(e);try{for(i.s();!(n=i.n()).done;){o=r(o,n.value)}}catch(t){i.e(t)}finally{i.f()}return o},nhwc2nchw:function(t,e){for(var n=e[0],r=e[1],o=e[2],i=e[3],a=o*i,s=r*o*i,u=[],c=0;c<n;c++)for(var l=0;l<i;l++)for(var _=0;_<r;_++)for(var h=0;h<o;h++)u.push(t[c*s+_*a+h*i+l]);return u},nchw2nhwc:function(t,e){for(var n=e[0],r=e[1],o=e[2],i=e[3],a=o*i,s=r*o*i,u=[],c=0;c<n;c++)for(var l=0;l<o;l++)for(var _=0;_<i;_++)for(var h=0;h<r;h++)u.push(t[c*s+h*a+l*i+_]);return u},stridePrint:function(t){var e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:20,n=e;if(t.length<=n)this.continuousPrint(t,n);else{var r=[],o=Math.floor(t.length/n);0==o&&(o=1),n=Math.floor(t.length/o);for(var i=0;i<n;i++)r.push(i*o+": 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e=[],n=t.length,r=0;r<n-1;r++){var o=t.slice(r+1).reduce((function(t,e){return t*e}));e.push(o)}return e.push(1),e},batchShape:function(t){if(t.length<4){for(var e=[],n=0;n<4-t.length;n++)e.push(1);t=e.concat(t)}return t},getShapeLen:function(t){var e,n=0,r=b(t);try{for(r.s();!(e=r.n()).done;){n+=e.value.reduce((function(t,e){return t*e}))}}catch(t){r.e(t)}finally{r.f()}return n},calRealAxis:function(t,e,n){for(var r=0,o=t.length;r<o;r++)if(t[r]!==e[r]){n=r;break}return n}},L=function(){function t(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};l()(this,t),this.opts=e,this.isPacked=this.isPacked||!1,this.name=e.name,this.tensorId=e.type;var n=this.shape=e.shape;if(this.total=n.reduce((function(t,e){return t*e})),e.needBatch&&n.length<4){for(var r=[],o=0;o<4-n.length;o++)r.push(1);n=r.concat(n),this.shape=n}var i,a=U.getTextureInfoFromTensorShape(n,e.isPacked),s=a.offsetX,u=a.offsetY,c=a.exceedMax,_=(a.zeroNumber,a.shape);if(this.shape_texture=_,this.exceedMax=c,this.offsetX=s,this.offsetY=u,"image"===e.type||"x"===e.type)this.data=e.data;else if(e.data&&e.data.length){if(i=new Float32Array(e.data.length),e.notCompressed)this.shape_texture=[4,1,this.total/4],this.data=new Float32Array(e.data);else{n[0];var h=n[1],f=n[2],p=n[3];if(p){for(var T=0;T<e.data.length;T++){var E=T/(h*p)|0,d=T%(h*p),g=E/f|0,m=E%f,I=d%h,x=d/h|0,v=g*(h*f*p)+I*(f*p)+m*p+x;i[T]=e.data[v]}this.data=i}}e.data=null}}return h()(t,[{key:"getValue",value:function(){for(var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=[].concat(t),n=e.length,r=this.shape.length,o=0;o<r-n;o++)e.unshift(0);for(var i=0,a=0;a<r;a++)i+=e[a]*this.shapeNumbers[a];return this.data[i]}},{key:"dispose",value:function(){this.data&&(this.data=null)}},{key:"width_texture",get:function(){var t=this.shape_texture.length;return this.shape_texture[t-1]}},{key:"height_texture",get:function(){var t=this.shape_texture.length;return this.shape_texture[t-2]}},{key:"width_shape",get:function(){var t=this.shape.length;return this.shape[t-1]}},{key:"height_shape",get:function(){var t=this.shape.length;return this.shape[t-2]}},{key:"channel",get:function(){var t=this.shape.length;return t>=3?this.shape[t-3]:0}},{key:"offset_x",get:function(){return this.offsetX}},{key:"offset_y",get:function(){return this.offsetY}},{key:"limit",get:function(){return this.exceedMax?"Limit":""}},{key:"length_shape",get:function(){return this.shape.length||0}},{key:"numbers_shape",get:function(){for(var t=[],e=this.shape.length,n=0;n<e-1;n++){var r=this.shape.slice(n+1).reduce((function(t,e){return t*e}));t.push(r)}return t.push(1),t}},{key:"total_shape",get:function(){return this.total}}]),t}();function D(t,e){var n;if("undefined"==typeof Symbol||null==t[Symbol.iterator]){if(Array.isArray(t)||(n=function(t,e){if(!t)return;if("string"==typeof t)return F(t,e);var n=Object.prototype.toString.call(t).slice(8,-1);"Object"===n&&t.constructor&&(n=t.constructor.name);if("Map"===n||"Set"===n)return Array.from(t);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return F(t,e)}(t))||e&&t&&"number"==typeof t.length){n&&(t=n);var r=0,o=function(){};return{s:o,n:function(){return r>=t.length?{done:!0}:{done:!1,value:t[r++]}},e:function(t){throw t},f:o}}throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}var i,a=!0,s=!1;return{s:function(){n=t[Symbol.iterator]()},n:function(){var t=n.next();return a=t.done,t},e:function(t){s=!0,i=t},f:function(){try{a||null==n.return||n.return()}finally{if(s)throw i}}}}function F(t,e){(null==e||e>t.length)&&(e=t.length);for(var n=0,r=new Array(e);n<e;n++)r[n]=t[n];return r}var C=["paddings","strides","dilations","ksize"],X=["length_shape","width_shape","height_shape","width_texture","height_texture","offset_x","offset_y","limit","channel","total_shape"],M={scale:{bias:"bias_value",scale:"multi_value"},pool2d:{pooling_type:"type_pool"},pool2d_winograd:{pooling_type:"type_pool"}},B={input:"origin",image:"image",x:"origin",filter:"filter",y:"counter",z:"appender",output:"out",out:"out",outputbox:"out",scale:"scale",bias:"bias",mean:"mean",variance:"variance",w:"weight",priorbox:"priorbox",priorboxvar:"boxvar",targetbox:"targetbox",aspect_ratios:"aspect_ratios",min_sizes:"min_sizes",max_sizes:"max_sizes",bboxes:"origin",scores:"counter"},k={conv2d:["needBatch","adaptPaddings","isApplySeparableConv","batchComputeConv2d"],conv2d_transpose:["needBatch"],batchnorm:["needBatch","mergeTensor"],test:["needBatch"],elementwise_add:["processAxis","needBatch"],conv2d_elementwise_add:["mergeAttrs","setActiveFunc","needBatch"],pool2d:["isMax","needBatch","setPacked","isGlobalPooling"],relu:["transToPrelu","needBatch"],relu6:["transToRelu6","needBatch"],leaky_relu:["transToLeakyrelu","needBatch"],mul:["reshape","needBatch"],bilinear_interp:["needBatch"],nearest_interp:["needBatch"],reshape2:["needBatch","inferShape"],transpose2:["needBatch","setPerm"],concat:["normalizeDim","needBatch"],concat_multi:["needBatch","normalizeDim","normalizeDim2"],split:["normalizeDim","needBatch"],softmax:["needBatch"],sigmoid:["needBatch","transToSigmoid"],scale:["needBatch"],fc:["flattenShape","needBatch"],box_coder:["setCodeType","needBatch"],prior_box:["processInputs","needBatch"],multiclass_nms:["replaceToConnectOp","needBatch"],connect:["replaceToConnectOp","needBatch"]},W=function(){function t(e){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{};l()(this,t),this.realName=e,this.name=e,this.attrs=o,this.checkIsMerge(),this.isPass=this.checkIsPass(),this.isPass&&(this.input=n,this.output=r,this.data={active_function:"scale",multi_value:"1.0",bias_value:"0.0",fuse_relu:!1},this.inputTensors=[],this.outputTensors=[],this.fShaderParams=[],this.buildTensor(),this.buildShaderParams())}return h()(t,[{key:"adaptPaddings",value:function(){for(var t in this.attrs)if(this.attrs.hasOwnProperty(t)&&"paddings"===t){var e=this.attrs[t],n=o()(e,2),r=n[0],i=n[1];return void(0===r&&1===i&&(this.attrs[t][1]=0))}}},{key:"inferShape",value:function(){if("reshape2"==this.name){var t=this.input.X[0].shape;this.attrs.shape&&(this.attrs.new_shape=this.attrs.shape,delete this.attrs.shape);for(var e=this.attrs.new_shape,n=0;n<e.length;n++)0==e[n]&&(e[n]=t[n]);for(var r=1,o=0;o<t.length;o++)r*=t[o];for(var i=-1,a=0;a<e.length;a++)-1!=e[a]?r/=e[a]:i=a;-1!=i&&(e[i]=r),this.output.Out[0].shape=e}}},{key:"buildTensor",value:function(){var t=this,e=[];for(var n in this.input){if(!n.length)break;if(this.input.hasOwnProperty(n))try{var r=this.input[n]||[{}];B[n.toLowerCase()]&&(r[0].tensorName=B[n.toLowerCase()],e.push(r[0]))}catch(t){console.log(t)}}delete this.output.Y;var o=function(n){if(t.output.hasOwnProperty(n))try{var r=t.output[n]||[{}];B[n.toLowerCase()]&&r.forEach((function(t){t.tensorName=B[n.toLowerCase()],e.push(t)}))}catch(t){}};for(var i in this.output)o(i);(k[this.name]||[]).forEach((function(n){t[n](e)})),e.forEach((function(e){if(e){var n=null,r=e.tensorName;n=e.notTensor?{name:r,data:new Float32Array(e.data),total_shape:e.data.length}:new L({type:e.name,name:r,shape:e.shape,data:e.data,needBatch:e.needBatch||!1,notCompressed:e.notCompressed||!1,isPacked:e.isPacked||!1}),"out"===r?t.outputTensors.push(n):t.inputTensors.push(n)}}))}},{key:"buildShaderParams",value:function(){var t=this;for(var e in this.attrs)if(this.attrs.hasOwnProperty(e)){var n=this.attrs[e];if(Array.isArray(n)&&C.indexOf(e)>-1)this.data[e+"_x"]=n[0],this.data[e+"_y"]=n[1];else{this.data[e]=n;var r=M[this.name];r&&r.hasOwnProperty(e)&&(this.data[r[e]]=n)}}this.inputTensors.forEach((function(e){X.forEach((function(n){t.data[n+"_"+e.name]=e[n]}))})),this.outputTensors.forEach((function(e){var n=JSON.parse(JSON.stringify(t.data));X.forEach((function(t){n[t+"_"+e.name]=e[t]})),t.fShaderParams.push(n)}))}},{key:"needBatch",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];t.forEach((function(t){return t.needBatch=!0}))}},{key:"setPerm",value:function(){var t=this.attrs.axis,e=t.length;if(3==e)t==[2,0,1]?t=[1,2,0]:t==[1,2,0]&&(t=[2,0,1]);else if(4==e){for(var n=[0,0,0,0],r=0;r<4;r++)n[[t[r]]]=r;t=n}this.data.perm_0=0,this.data.perm_1=0,this.data.perm_2=0,this.data.perm_3=0,e>=1&&(this.data.perm_0=t[0]),e>=2&&(this.data.perm_1=t[1]),e>=3&&(this.data.perm_2=t[2]),e>=4&&(this.data.perm_3=t[3]),this.data.perm_size=e}},{key:"calPadding",value:function(){var t=this.attrs,e=t.strides,n=t.ksize,r=t.padding_algorithm;if(r&&"same"===r.toLowerCase()){var i=U.padToFourDimShape(this.output.Out[0].shape),a=o()(i,4),s=a[2],u=a[3],c=Array.isArray(e)?e:[e,e]||!1,l=o()(c,2),_=l[0],h=l[1],f=Array.isArray(n)?n:[n,n]||!1,p=o()(f,2),T=p[0],E=p[1],d=Math.round(Math.max(((u+_-1)/_-1)*_+T-u,0)/2),g=Math.round(Math.max(((s+h-1)/h-1)*h+E-s,0)/2);this.attrs.paddings=[d,g]}}},{key:"isGlobalPooling",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=t.filter((function(t){return"origin"===t.tensorName}))[0]||{},n=e.shape&&e.shape.length||0;n>2&&this.attrs.global_pooling&&(this.attrs.ksize=[e.shape[n-2],e.shape[n-1]])}},{key:"mergeAttrs",value:function(){this.attrs=this.attrs.reduce((function(t,e){return Object.assign(t,e)}),{})}},{key:"isApplyWinoGrad",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=t.filter((function(t){var e=o()(t.shape,4),n=(e[0],e[1],e[2]),r=e[3];return 3===n&&3===r&&"filter"===t.tensorName}));e&&e.length&&(this.setPacked(t),this.applyWinograd(t),this.setOutputPacked(t),this.name+="_winograd")}},{key:"isApplySeparableConv",value:function(){var t,e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],n=this.attrs.groups,r=!1,i=e.filter((function(e){var i=e.shape,a=e.tensorName;"bias"===a&&(r=!0);var s=o()(i,4),u=s[0],c=s[1];s[2],s[3];return r||t||"out"!==a||(t=c),u===n&&1===c&&"filter"===e.tensorName}));i&&i.length&&(this.name+="_depthwise"),!r&&e.push({name:"conv1_scale_offset",needBatch:!0,persistable:!0,shape:[t],data:Array.from(new Float32Array(t),(function(t){return 0})),tensorName:"bias"})}},{key:"batchComputeConv2d",value:function(){var t=this.input.Filter[0].shape[1];this.attrs.filter_nearest_vec4=4*Math.floor(t/4),this.attrs.filter_remainder_vec4=t%4}},{key:"setPacked",value:function(){var t=this,e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],n=this.attrs.ispacked;e.forEach((function(e){"origin"===e.tensorName&&n&&(e.isPacked=!0,t.name.indexOf("pool")>-1&&(t.name+="_winograd"))}))}},{key:"applyWinograd",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];t.forEach((function(t){if("filter"===t.tensorName){var e=o()(t.shape,4),n=e[0],r=e[1];e[2],e[3];t.shape=[n,r,4,4],t.data=U.applyFilterWinograd(t.data,t.shape)}}))}},{key:"setOutputPacked",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];t.forEach((function(t){"out"===t.tensorName&&(t.isPacked=!0)}))}},{key:"isMax",value:function(){var t="max"===this.attrs.pooling_type?1:0;this.attrs.pooling_type=t,1===t&&(this.name+="_max")}},{key:"transToPrelu",value:function(){this.data.multi_value="0.0",this.data.active_function="prelu"}},{key:"transToRelu6",value:function(){this.data.multi_value=this.attrs.threshold,this.data.active_function="relu6"}},{key:"transToLeakyrelu",value:function(){this.data.multi_value=this.attrs.alpha,this.data.active_function="leakyRelu",this.name="relu"}},{key:"transToSigmoid",value:function(){this.data.active_function="sigmoid"}},{key:"setActiveFunc",value:function(){"leaky_relu"===this.realName.replace("conv2d-elementwise_add-","")&&(this.data.multi_value=this.attrs.alpha,this.data.active_function="leakyRelu")}},{key:"normalizeDim",value:function(){for(var t=U.padToFourDimShape(this.input.X[0].shape),e=U.padToFourDimShape(this.output.Out[0].shape),n=this.attrs.axis,r=0,o=t.length;r<o;r++)if(t[r]!==e[r]){n=r;break}for(var i=[],a=0;a<t[n];a++)i[a]=a;this.attrs.target_length=i.length,this.attrs.target_value=i,this.attrs.inputs_dim=t[n],this.attrs.dim=4-t.length+n}},{key:"normalizeDim2",value:function(){var t=U.padToFourDimShape(this.input.Y[0].shape),e=this.attrs.axis>-1?this.attrs.axis:t.length+this.attrs.axis;this.attrs.append_num=t[e]}},{key:"processDim",value:function(){if(-1!==this.attrs.axis){var t=this.input.X[0].shape;this.attrs.axis+=4-t.length}}},{key:"processAxis",value:function(){var t=this.input.X[0].shape,e=this.input.Y[0].shape,n=this.attrs.axis;this.attrs.axis=-1==n?t.length-e.length:4-e.length-n}},{key:"flattenShape",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=t.find((function(t){return t.shape.length>2}));if(e){var n=U.padToFourDimShape(e.shape);e.shape=[n[0]*n[2],n[1]*n[3]]}}},{key:"reshape",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=t.find((function(t){return"origin"===t.tensorName})),n=t.find((function(t){return"counter"===t.tensorName})),r=t.find((function(t){return"out"===t.tensorName||"output"===t.tensorName}));if(n.shape.length>e.shape.length&&(S()("input"),e=n,S()("counter"),n=e),e.shape.length>2&&2===n.shape.length){var o=U.getReshapeInPaddle(e.shape,n.shape,r.shape);e.shape=o}}},{key:"mergeTensor",value:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],e=["scale","bias","variance","mean"],n={};t.forEach((function(t,e){n[t.tensorName]=t,n[t.tensorName+"Index"]=e}));for(var r=0;r<e.length;r++)t[n[e[r]+"Index"]].data=n[e[r]].data}},{key:"setCodeType",value:function(){this.attrs.normalized=!!this.attrs.box_normalized,delete this.attrs.box_normalized,this.name="box_coder_"+(this.attrs.code_type&&"decode_center_size"===this.attrs.code_type?"decode":"encode")}},{key:"expandAspectRatios",value:function(t,e){var n,r=[1],o=D(t);try{for(o.s();!(n=o.n()).done;){var i,a=n.value,s=!1,u=D(r);try{for(u.s();!(i=u.n()).done;){var c=i.value;if(Math.abs(a-c)<1e-6){s=!0;break}}}catch(t){u.e(t)}finally{u.f()}s||(r.push(a),e&&r.push(1/a))}}catch(t){o.e(t)}finally{o.f()}return r.filter((function(t){return Math.abs(t-1)>=1e-6}))}},{key:"genArrCodeOfIndex",value:function(t,e){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"float",r="get"+e.split("_").map((function(t){return t[0].toUpperCase()+t.slice(1)})).join("");if(!t)return{code:"void ".concat(r,"() {}\n"),len:0};Array.isArray(t)||(t=[t]);var o=t.length,i="".concat(n," ").concat(e,"[").concat(o,"];")+"\n";i+="float ".concat(r,"(int index) {\n");for(var a=0;a<o;a++)i=i+"if (".concat(a," == index) { return ").concat(n,"(").concat(t[a],");}")+"\n";return{code:i+="}",len:o}}},{key:"genArrCode",value:function(t,e){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"float",r="get"+e.split("_").map((function(t){return t[0].toUpperCase()+t.slice(1)})).join("");if(!t)return{code:"void ".concat(r,"() {}\n"),len:0};Array.isArray(t)||(t=[t]);var o=t.length,i="".concat(n," ").concat(e,"[").concat(o,"];")+"\n";i+="void ".concat(r,"() {\n");for(var a=0;a<o;a++)i=i+"".concat(e,"[").concat(a,"] = ").concat(n,"(").concat(t[a],");")+"\n";return{code:i+="}",len:o}}},{key:"processInputs",value:function(){var t=this.attrs,e=t.min_sizes,n=t.max_sizes,r=t.aspect_ratios,o=t.step_w,i=t.step_h,a=t.step,s=t.min_max_aspect_ratios_order,u=t.variance,c=t.variances,l=t.offset,_=t.flip;r=this.expandAspectRatios(r,_);var h=this.genArrCodeOfIndex(e,"min_sizes"),f=h.code,p=h.len,T=this.genArrCodeOfIndex(n,"max_sizes"),E=T.code,d=T.len,g=this.genArrCodeOfIndex(r,"aspect_ratios"),m=g.code,I=g.len,x=this.genArrCodeOfIndex(u||c||[.1,.1,.2,.2],"variance").code;a&&2===a.length&&(o=a[0],i=a[1]);var v=this.input.Image[0].shape,R=v.length,H=this.input.Input[0].shape,O=H.length,A=[v[R-1],v[R-2]],y=A[0],N=A[1],P=[H[O-1],H[O-2]];o&&i||(o=y/P[0],i=N/P[1]),Object.assign(this.attrs,{min_len:p,min_sizes_code:f,max_len:d,max_sizes_code:E,aspect_len:I,aspect_ratios_code:m,min_max_aspect_order:s,step_w:"float(".concat(o||0,")"),step_h:"float(".concat(i||0,")"),offsets:"float(".concat(l||0,")"),variance_code:x,epsilon:1e-6}),delete this.attrs.min_max_aspect_ratios_order,delete this.attrs.min_sizes,delete this.attrs.max_sizes,delete this.attrs.aspect_ratios,delete this.attrs.variance,delete this.attrs.step,delete this.attrs.offset}},{key:"replaceToConnectOp",value:function(){for(var t=this.input,e=0,n=Object.keys(t);e<n.length;e++){var r=n[e],o=t[r]&&t[r][0],i=o.shape,a="numbers_shape_".concat(o.tensorName);this.attrs[a]=this.genArrCode(U.getNumbersShape(U.batchShape(i)),a,"int").code}this.name="connect"}},{key:"checkIsMerge",value:function(){return!!(this.name.indexOf("conv2d-elementwise_add")>-1&&Array.isArray(this.attrs))&&(this.name="conv2d_elementwise_add",!0)}},{key:"checkIsPass",value:function(){return"dropout"===this.name?"downgrade_in_infer"===this.attrs.dropout_implementation&&(this.name="scale",this.attrs.scale=this.attrs.dropout_prob,this.attrs.bias=0,!0):("depthwise_conv2d"===this.name&&(this.name="conv2d"),!0)}},{key:"dispose",value:function(){for(var t in this.input=null,this.output=null,this.attrs=null,this.tensor)this.tensor[t].dispose();this.tensor={}}}]),t}();function V(t,e){var n;if("undefined"==typeof Symbol||null==t[Symbol.iterator]){if(Array.isArray(t)||(n=function(t,e){if(!t)return;if("string"==typeof t)return j(t,e);var n=Object.prototype.toString.call(t).slice(8,-1);"Object"===n&&t.constructor&&(n=t.constructor.name);if("Map"===n||"Set"===n)return Array.from(t);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return j(t,e)}(t))||e&&t&&"number"==typeof t.length){n&&(t=n);var r=0,o=function(){};return{s:o,n:function(){return r>=t.length?{done:!0}:{done:!1,value:t[r++]}},e:function(t){throw t},f:o}}throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}var i,a=!0,s=!1;return{s:function(){n=t[Symbol.iterator]()},n:function(){var t=n.next();return a=t.done,t},e:function(t){s=!0,i=t},f:function(){try{a||null==n.return||n.return()}finally{if(s)throw i}}}}function j(t,e){(null==e||e>t.length)&&(e=t.length);for(var n=0,r=new Array(e);n<e;n++)r[n]=t[n];return r}function z(t,e){var n=Object.keys(t);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(t);e&&(r=r.filter((function(e){return Object.getOwnPropertyDescriptor(t,e).enumerable}))),n.push.apply(n,r)}return n}function Y(t){for(var e=1;e<arguments.length;e++){var n=null!=arguments[e]?arguments[e]:{};e%2?z(Object(n),!0).forEach((function(e){p()(t,e,n[e])})):Object.getOwnPropertyDescriptors?Object.defineProperties(t,Object.getOwnPropertyDescriptors(n)):z(Object(n)).forEach((function(e){Object.defineProperty(t,e,Object.getOwnPropertyDescriptor(n,e))}))}return t}function q(t,e,n){for(var r=[],o=0,i=t.length;o<i;o++){var a=t[o];a>e&&r.push({score:a,i:o})}return r.sort((function(t,e){return t.score-e.score})).slice(0,n)}function Z(t){var e=o()(t,4),n=e[0],r=e[1];return(e[2]-n)*(e[3]-r)}function K(t,e,n){var r=Z(t),i=Z(e),a=function(t,e){var n=o()(t,4),r=n[0],i=n[1],a=n[2],s=n[3],u=o()(e,4),c=u[0],l=u[1],_=u[2],h=u[3],f=Math.max(r,c),p=Math.max(i,l);return(Math.min(a,_)-f)*(Math.min(s,h)-p)}(t,e);return a/(r+i-a)>n}var Q={multiclass_nms:function(t,e){for(var n=t.BBoxes,r=t.Scores,o=n[0],i=r[0],a=e.nms_top_k,s=void 0===a?100:a,u=(e.nms_eta,e.nms_threshold),c=void 0===u?.44999998807907104:u,l=e.keep_top_k,_=void 0===l?100:l,h=e.background_label,f=void 0===h?0:h,p=e.score_threshold,T=void 0===p?.25:p,E=[],d=0,g=i.length;d<g;d++)if(d!==f)for(var m=q(i[d],T,s),I=m.pop();m.length;){var v=o[I.i];E.push(Y(Y({},I),{},{box:v,label:d}));var R,H=V(x()(m));try{for(H.s();!(R=H.n()).done;){var O=R.value.i;K(v,o[O],c)&&m.splice(O,1)}}catch(t){H.e(t)}finally{H.f()}I=m.pop()}return E.sort((function(t,e){return e.score-t.score})).slice(0,_).map((function(t){return[t.label,t.score].concat(x()(t.box))}))}};function J(t,e){var n=Object.keys(t);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(t);e&&(r=r.filter((function(e){return Object.getOwnPropertyDescriptor(t,e).enumerable}))),n.push.apply(n,r)}return n}function $(t){for(var e=1;e<arguments.length;e++){var n=null!=arguments[e]?arguments[e]:{};e%2?J(Object(n),!0).forEach((function(e){p()(t,e,n[e])})):Object.getOwnPropertyDescriptors?Object.defineProperties(t,Object.getOwnPropertyDescriptors(n)):J(Object(n)).forEach((function(e){Object.defineProperty(t,e,Object.getOwnPropertyDescriptor(n,e))}))}return t}var tt=new y({}),et=tt.getOpConfs(),nt=!1,rt=function(){function t(e){l()(this,t),this.version="0.0.1",this.handler="io.IOHandler",this.weightMap="",this.options=e||{},this.feed=null,this.index=0,this.feedOp=null,this.fetchOp=null,this.postOps=[],this.multiOutputInfo=null,this.feedItem=null,this.test=!1,this.formatLayout="NCHW",this.isExecuted=!1,this.iLayer=0,this.queryList=[],this.glVersion=2,(nt=T.a.env().debug)&&(window.layerName=""),this.options&&this.options.options&&(!0===this.options.options.test&&(this.test=!0),this.options.options.formatLayout&&(this.formatLayout=this.options.options.formatLayout)),this.inst||(this.inst=new N(this.options.options),this.glVersion=this.inst.getWebglVersion(),tt.setWebglVersion(this.glVersion),tt.setIsFrameBufferSupportFloat(this.inst.getIsFrameBufferSupportFloat()),tt.setIsFloatTextureReadPixelsEnabled(this.inst.getIsFloatTextureReadPixelsEnabled()),U.setTextureMaxSize(this.inst.getWebglMaxTextureSize()))}return h()(t,[{key:"buildOpData",value:function(t,e){var n=this,r=this.constructExecutor(t),o=new W(t.type,r.inputs,r.outputs,r.attrs),i=o.name;o.program=[],o.program=o.outputTensors.map((function(t,r){var a=tt.buildShader(i,o.fShaderParams[r],r,e);return o.fsCode=a,n.inst.createProgram(a,t,e)})),o.renderData=et[i].map((function(e){var r=Object.assign({},e),i=o.inputTensors.find((function(t){return t.name===r.tensor}));return"texture"===r.type?(r.tensorId=i.opts.type,r.data=i.data,n.feedOp.id===t.id&&"origin"===r.tensor&&(r.shape=i.shape,n.feedItem=r),r.width_texture=i.width_texture,r.height_texture=i.height_texture,r.channel=i.channel):"uniform"===r.type&&(r.data=i[r.variable]),r})),o.iLayer=this.iLayer++,t.opData=o}},{key:"execute_",value:function(t){if("fetch"!==t.type){var e=this.inst.gpu.gl,n=U.beginQuery(e,this.glVersion);if(t.execute(this.inst,this.isExecuted),n&&(this.queryList.push({name:t.type,query:n,count:1}),n=U.endQuery(e,this.glVersion,n)),nt&&t&&t.opData&&t.opData.outputTensors&&t.opData.outputTensors[0]&&t.opData.outputTensors[0].tensorId&&t.opData.outputTensors[0].tensorId===(window&&window.layerName||""))console.log(t.type,window.layerName,"return!");else if(t.next){var r=t.next,o=this.getTensor(r);this.execute_(o[0])}}}},{key:"execute",value:function(t){this.feed=t;var e=this.getNetsStart(this.weightMap);return this.inst||(this.inst=N.init({width_raw_canvas:512,height_raw_canvas:512})),this.isExecuted&&this.updateFeed(),this.queryList=[],this.execute_(e[0]),this.isExecuted=!0,this.inst}},{key:"updateFeed",value:function(){this.feed.input&&this.feed.input[0]&&this.feed.input[0].data&&(this.feedItem.data=this.feed.input[0].data)}},{key:"predict",value:function(t,e){return this.execute_(t,!0,this.outputNodes)}},{key:"getShape",value:function(t){var e=this.getTensorAttr(t)[0].shape;return U.padToFourDimShape(e)}},{key:"getRealShape",value:function(t){return this.getTensorAttr(t)[0].shape}},{key:"getTensorAttr",value:function(t){return"fetch"===t?[{name:t}]:this.data.vars.filter((function(e,n){if(t===e.name)return e}))}},{key:"constructExecutor",value:function(t){var e=this,n=t.inputsName[0],r=t.inputs,i=t.outputs;return Object.keys(i).forEach((function(t){i[t].forEach((function(n,r){i[t][r]=e.getTensorAttr(n)[0]}))})),Object.keys(r).forEach((function(i){if(e.test)r[i]=e.getTensorAttr(r[i][0]),e.feedOp=t;else if("Input"===i&&"pixel"===n)r[i]=e.feed.input,e.feedOp=t;else if("Input"!==i||"image"!==n&&"x"!==n)if("X"===i&&r[i].length>1&&"connect"!==t.type){var a=o()(r[i],3),s=a[0],u=a[1],c=a[2];r.X=e.getTensorAttr(s),u&&(r.Y=e.getTensorAttr(u)),c&&(r.Z=e.getTensorAttr(c),t.type+="_multi")}else r[i]=e.getTensorAttr(r[i][0]);else r[i]=e.feed.input,e.feedOp=t})),{inputs:r,outputs:i,attrs:t.attrs,type:t.type,next:t.next}}},{key:"constructOpsMap",value:function(t){var e=this;return t.map((function(n,r){var o=n.outputsName[0],i=e.getNextExecutor(t,o);return i.length>0&&(n.next=i[0].id),n}))}},{key:"arrangeMap",value:function(t){var e={},n=[],r={},o=t;return o.forEach((function(t,n){t.outputsName.forEach((function(t,n){e[t]=!0}))})),o.forEach((function(t,o){n[o]=0,r[t.id]=o,t.inputsName.length>1?t.inputsName.forEach((function(t,r){1==e[t]&&n[o]++})):n[o]=t.inputsName.length})),this.topoSort(t,n,r),t}},{key:"topoSort",value:function(t,e,n){var r=[];r.push(t[0]);for(var o=t.slice(0),i=null,a=t[0];r.length>0;){null!=i&&(t[n[i.id]].next=a.id),i=a,a=r.pop();for(var s=0;s<a.outputsName.length;s++)for(var u=0;u<o.length;u++)for(var c=0;c<o[u].inputsName.length;c++)if(o[u].inputsName[c]==a.outputsName[s]&&(e[n[o[u].id]]--,0==e[n[o[u].id]])){r.push(t[n[o[u].id]]),o.splice(u,1),u--;break}}}},{key:"getNetsStart",value:function(t){return t.filter((function(t){if("feed"===t.type)return!0}))}},{key:"getNetsEnd",value:function(t){return t.filter((function(t){if("fetch"===t.type)return!0}))}},{key:"getTensor",value:function(t){return this.weightMap.filter((function(e,n){if(t===e.id)return e}))}},{key:"formatWeight",value:function(t){"NHWC"===this.formatLayout&&t.map((function(t){t.data&&t.shape&&(t.data=U.nhwc2nchw(t.data,t.shape))}))}},{key:"createOpsMap",value:function(t){var e=this,n=this.options.multiOutputConfig||{},r=n.deleteOpType,o=n.inputs,i=null,a=this.separateOps(t);if(a=t.map((function(t,n){t.idx=n,t.type===r&&(i=n);var o=new v(t);if(Q[t.type]){var a=e.configurePostOp(o);e.postOps.push(a)}return o})),i&&a.splice(i),o){var s=this.createMultiOutputOp(o,a.length);if(s)return a.concat(s)}return a}},{key:"separateOps",value:function(t){for(var e=["concat"],n=0,r=t.length;n<r;n++){var o=t[n];if(e.includes(o.type)){var i=Object.keys(o.inputs),a=Object.keys(o.outputs);if(1!==i.length||1!==a.length||!o.outputs[a[0]])continue;var s=o.inputs[i[0]],u=o.outputs[a[0]][0],c=s.length;if(c<3)continue;for(var l=[],_=s[0],h=x()(this.getRealShape(_)),f=1;f<c;f++){var T=s[f],E=u;if(f!==c-1){E=T+"_separate_tmp";var d=this.getRealShape(T),g=o.attrs.axis;g=g>-1?g:4+g,h.splice(g,1,h[g]+d[g]),this.data.vars.push({name:E,shape:x()(h)})}l.push($($({},o),{},{inputs:p()({},i,[_,T]),outputs:p()({},a,[E])})),_=E}t.splice.apply(t,[n,1].concat(l)),n=n+l.length-1,r=r+l.length-1}}return t}},{key:"createMultiOutputOp",value:function(t,e){if(!(t.length<2)){for(var n=x()(t),r=this.multiOutputInfo={},o=[],i=n.shift(),a=r[i]=this.getShape(i),s=0;n.length;){var u=n.shift(),c=n[0],l=c?c+"_connect_prefix":"fetchout",_={X:[i],Y:[u]};o.push(new v({attrs:{},inputs:$({},_),outputs:{Out:[l]},type:"connect",idx:s+e}));var h=this.getShape(u),f=U.getShapeLen([a,h]);r[u]=h,this.data.vars.push({name:l,shape:[1,1,1,f]}),i=l,a=[1,1,1,f],s++}return o}console.error("当前只有一个输出，多输出op最少2个输出")}},{key:"configurePostOp",value:function(t){var e=this;function n(t){for(var n={},r=0,o=Object.keys(t);r<o.length;r++){var i=o[r],a=t[i][0];n[a]={shape:e.getTensorAttr(a)[0].shape,key:i}}return n}var r=t.inputs,o=t.outputs;return{inputs:n(r),outputs:n(o),attrs:t.attrs,type:t.type}}},{key:"getNextExecutor",value:function(t,e){return t.filter((function(t,n){for(var r=0;r<t.inputsName.length;r++)if(e===t.inputsName[r])return!0}))}},{key:"dispose",value:function(){this.executor.dispose()}}]),t}(),ot=function(){function t(e){l()(this,t),this.version="0.0.1",this.loader="",this.options=e,this.graph="",this.multipart=!1,this.feed=null,this.fetchAll=null,this.index=0,this.feedOp=null,this.feedItem=null,this.test=!1,this.isExecuted=!1,this.iLayer=0,this.params={type:"fetch"},this.environment=T.a}var e;return h()(t,[{key:"load",value:(e=u()(a.a.mark((function t(){var e,n,r,o,i;return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:if(null!==this.options){t.next=2;break}throw new Error("modelGonfig in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");case 2:return e=T.a.env(),n=e.getCache,r=e.setCache,o=n&&n("artifacts"),i=o||new m(this.options.urlConf,this.options.options),t.next=8,i.load();case 8:return!o&&r&&r(i,"artifact"),this.preGraph(i),t.abrupt("return",this);case 11:case"end":return t.stop()}}),t,this)}))),function(){return e.apply(this,arguments)})},{key:"preGraph",value:function(t){var e=new rt(this.options);window&&(window.graph=e),this.graph=e,this.graph.data=t.data,this.graph.formatWeight(this.graph.data.vars);var n=this.graph.createOpsMap(this.graph.data.ops),r=this.graph.constructOpsMap(n),o=this.graph.arrangeMap(r);this.graph.weightMap=o}},{key:"execute",value:function(t){var e=this;if(this.feed=this.graph.feed=t,!this.graph.isExecuted){var n=this.graph.weightMap.length;this.graph.weightMap.forEach((function(t,r){var o=t.type;if("feed"!==o&&"fetch"!==o){var i=r===n-2;e.graph.buildOpData(t,i)}}))}return this.graph.execute(t),this.graph.inst}},{key:"updateFeed",value:function(){this.graph.feedItem.data=this.graph.feed.input[0].data}},{key:"dispose",value:function(){this.graph.dispose()}}]),t}(),it=n(10),at=n.n(it),st=n(11),ut=n.n(st),ct=n(9),lt=n.n(ct),_t=function(){function t(e){l()(this,t);var n=e.inputShape,r=e.outputShape,o=e.attrs;this.options=e,this.inputShape=n,this.outputShape=r,this.attrs=o,this.isEntry=!1,this.isLast=!1,this.inputTexture=null,this.outputTexture=null,this.inputTextureLoc=null,this.outputTextureLoc=null,this.program=null,this.pos=[1,1],this.scale=[1,1]}return h()(t,[{key:"getFshaderSource",value:function(t){var e=t;if(this.attrs)for(var n=0,r=Object.keys(this.attrs);n<r.length;n++){var o=r[n],i=this.attrs[o];e=e.replace(o.toUpperCase(),i)}return e}},{key:"update",value:function(){}}]),t}();function ht(t){var e=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],(function(){}))),!0}catch(t){return!1}}();return function(){var n,r=lt()(t);if(e){var o=lt()(this).constructor;n=Reflect.construct(r,arguments,o)}else n=r.apply(this,arguments);return ut()(this,n)}}var ft=function(t){at()(n,t);var e=ht(n);function n(t){var r;return l()(this,n),(r=e.call(this,t)).name="resize",r.needScale=!0,r.scaleLoc=null,r.fshaderSource=r.getFshaderSource("\n    #ifdef GL_ES\n        precision mediump float;\n    #endif\n    uniform sampler2D entry;\n    varying vec2 v_TexCoord;\n    void main() {\n        gl_FragColor = texture2D(entry, v_TexCoord);\n    }"),r}return h()(n,[{key:"update",value:function(t,e){this.resetPos(t,e)}},{key:"resetPos",value:function(t,e){var n=this.options,r=n.targetSize,o=n.scale;n.inputShape,n.outputShape;o&&r?this.resizeAndFitTargetSize(t,e):r?this.fitToTargetSize(t,e):this.resize(t,e)}},{key:"resizeAndFitTargetSize",value:function(t,e){var n=this.options,r=n.targetSize,i=n.scale,a=n.outputShape,s=o()(a,2),u=s[0],c=s[1],l=t,_=e;t<e?(l=i,_=Math.round(l*e/t)):(_=i,l=Math.round(_*t/e));r.width,r.height;this.scale=[l/u,_/c]}},{key:"fitToTargetSize",value:function(t,e){var n=this.options,r=n.targetSize,i=n.outputShape,a=r.width,s=r.height,u=o()(i,2),c=u[0],l=u[1],_=a,h=s;_/h*e/t>=1?(_=Math.round(h*t/e),Math.floor((a-_)/2)):(h=Math.round(_*e/t),Math.floor((s-h)/2)),this.scale=[_/c,h/l],this.options.center||(this.pos=this.scale)}},{key:"resize",value:function(t,e){var n=this.options,r=n.scale,i=n.outputShape,a=o()(i,2),s=a[0],u=a[1],c=t,l=e;t<e?(c=r||t,l=Math.round(c*e/t)):t>e?(l=r||e,c=Math.round(l*t/e)):c=l=params.scale||t,this.scale=[c/s,l/u]}}]),n}(_t);function pt(t){var e=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],(function(){}))),!0}catch(t){return!1}}();return function(){var n,r=lt()(t);if(e){var o=lt()(this).constructor;n=Reflect.construct(r,arguments,o)}else n=r.apply(this,arguments);return ut()(this,n)}}var Tt=function(t){at()(n,t);var e=pt(n);function n(t){var r;return l()(this,n),(r=e.call(this,t)).name="format",r.normalizeAttrs(),r.fshaderSource=r.getFshaderSource("\n    #ifdef GL_ES\n        precision mediump float;\n    #endif\n    uniform sampler2D entry;\n    varying vec2 v_TexCoord;\n    const int width = WIDTH;\n    const vec4 mean = MEAN;\n    const vec4 std = STD;\n\n    float getData(vec4 color, int id) {\n        for (int i = 0; i < 3; i++) {\n            if (i == id) {\n                return (color[i] - mean[i]) / std[i];\n                // return (color[i] - mean[i]);\n            }\n        }\n    }\n\n    void main() {\n        float outPadding = 1.0 / float(width) / 2.0;\n        float inWidth = float(width) / 3.0;\n        float inPadding = 1.0 / inWidth / 2.0;\n        float x = ceil((v_TexCoord.x + outPadding) * inWidth) / inWidth - inPadding;\n        vec4 color = texture2D(entry, vec2(x, v_TexCoord.y));\n\n        int channel = int(mod(v_TexCoord.x * float(width), 3.0));\n        gl_FragColor.r = getData(color, channel);\n    }"),r}return h()(n,[{key:"processMeanOrStd",value:function(t,e){var n=t;return t||(n="mean"===e?[0,0,0,0]:[1,1,1,1]),3===t.length&&n.push("mean"===e?0:1),"vec4(".concat(n.map((function(t){return"float(".concat(t,")")})).join(","),")")}},{key:"normalizeAttrs",value:function(){var t=this.attrs;t.mean=this.processMeanOrStd(t.mean,"mean"),t.std=this.processMeanOrStd(t.std,"std")}}]),n}(_t);n(18);function Et(t,e){var n;if("undefined"==typeof Symbol||null==t[Symbol.iterator]){if(Array.isArray(t)||(n=function(t,e){if(!t)return;if("string"==typeof t)return dt(t,e);var n=Object.prototype.toString.call(t).slice(8,-1);"Object"===n&&t.constructor&&(n=t.constructor.name);if("Map"===n||"Set"===n)return Array.from(t);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return dt(t,e)}(t))||e&&t&&"number"==typeof t.length){n&&(t=n);var r=0,o=function(){};return{s:o,n:function(){return r>=t.length?{done:!0}:{done:!1,value:t[r++]}},e:function(t){throw t},f:o}}throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}var i,a=!0,s=!1;return{s:function(){n=t[Symbol.iterator]()},n:function(){var t=n.next();return a=t.done,t},e:function(t){s=!0,i=t},f:function(){try{a||null==n.return||n.return()}finally{if(s)throw i}}}}function dt(t,e){(null==e||e>t.length)&&(e=t.length);for(var n=0,r=new Array(e);n<e;n++)r[n]=t[n];return r}var gt={resize:ft,format:Tt},mt=function(){function t(e,n,r,o,i){l()(this,t),this.options=Object.assign({},i);var a=this.options,s=a.mean,u=a.std,c=a.shape;this.fillColor=i.fill?this.getFillColor(i.fill):[0,0,0,1],this.pipe=o,this.pipe.push({name:"format",options:{outputShape:c,attrs:{mean:s,std:u,width:3*c[0]}}}),this.gl=e,2===(this.glVersion=n)?(this.textureFloat=e.getExtension("EXT_color_buffer_float"),this.internalFormat=e.R16F,this.textureFormat=e.RED,this.downloadInternalFormat=e.RGBA16F):(this.internalFormat=e.RGBA,this.textureFormat=e.RGBA,this.downloadInternalFormat=e.RGBA,this.textureHalfFloat=e.getExtension("OES_texture_half_float")),this.frameBufferSupportFloat=r,this.initPipeLine()}var e;return h()(t,[{key:"initPipeLine",value:function(){var t=this,e=this.gl;this.framebuffer=e.createFramebuffer(),e.bindFramebuffer(e.FRAMEBUFFER,this.framebuffer);var n=this.pipe;if(n&&n.length){var r,o,i=n.length;this.pipeLine=n.map((function(e,n){var a,s=e.name,u=e.options;if(r=new gt[s](u),0===n?(r.isEntry=!0,o=r):n===i-1&&(r.isLast=!0),r.inputShape=o.outputShape,t.initProgram(r),a=t.initTexture(r,r.outputShape),r.outputTexture=a.texture,r.outputTextureLoc=a.loc,r.isLast&&(t.outputTexture=r.outputTexture),r.isEntry)a=t.initTexture(r,r.inputShape||[]),r.inputTexture=a.texture,r.inputTextureLoc=a.loc;else{var c=o,l=c.inputTexture,_=c.inputTextureLoc;r.inputTexture=l,r.inputTextureLoc=_}return o=r,r}))}}},{key:"initShaders",value:function(t,e){var n=this.gl,r=this.createProgram(t,e);return r?(n.useProgram(r),n.program=r,r):(console.log("Failed to create program"),!1)}},{key:"createProgram",value:function(t,e){var n=this.gl,r=this.loadShader(n,n.VERTEX_SHADER,t),o=this.loadShader(n,n.FRAGMENT_SHADER,e);if(!r||!o)return null;var i=n.createProgram();return i?(n.attachShader(i,r),n.attachShader(i,o),n.linkProgram(i),i):null}},{key:"initProgram",value:function(t){var e=this.gl,n=this.initShaders("\n    attribute vec4 a_Position;\n    varying vec2 v_TexCoord;\n    uniform vec2 u_scale;\n    uniform vec2 u_pos;\n    void main() {\n        gl_Position = a_Position * vec4(vec2(u_scale), 1, 1) - (1.0 - vec4(vec2(u_pos), 1, 1));\n        v_TexCoord.x = (a_Position.x + 1.0) / 2.0;\n        v_TexCoord.y = (a_Position.y + 1.0) / 2.0;\n    }",t.fshaderSource);if(n){t.program=n,this.initVertexBuffers(e);var r=t.scaleLocation=e.getUniformLocation(n,"u_scale");e.uniform2fv(r,[1,1]);var o=t.posLocation=e.getUniformLocation(n,"u_pos");e.uniform2fv(o,[0,0])}else console.log("Failed to intialize shaders.")}},{key:"initVertexBuffers",value:function(t){var e=new Float32Array([-1,1,0,1,-1,-1,0,0,1,1,1,1,1,-1,1,0]),n=t.createBuffer();if(!n)return console.log("Failed to create the buffer object"),-1;t.bindBuffer(t.ARRAY_BUFFER,n),t.bufferData(t.ARRAY_BUFFER,e,t.STATIC_DRAW);var r=e.BYTES_PER_ELEMENT,o=t.getAttribLocation(t.program,"a_Position");if(o<0)return console.log("Failed to get the storage location of a_Position"),-1;t.vertexAttribPointer(o,2,t.FLOAT,!1,4*r,0),t.enableVertexAttribArray(o)}},{key:"initTexture",value:function(t,e){var n=this.gl,r=o()(e,2),i=r[0],a=void 0===i?1:i,s=r[1],u=void 0===s?1:s,c=n.createTexture();if(!c)return console.log("Failed to create the texture object"),!1;n.bindTexture(n.TEXTURE_2D,c),"format"===t.name&&t.isLast?n.texImage2D(n.TEXTURE_2D,0,this.downloadInternalFormat,3*a,u,0,n.RGBA,this.frameBufferSupportFloat?n.FLOAT:this.textureHalfFloat.HALF_FLOAT_OES,null):n.texImage2D(n.TEXTURE_2D,0,n.RGBA,a,u,0,n.RGBA,n.UNSIGNED_BYTE,null),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.NEAREST),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.NEAREST),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE);var l=n.getUniformLocation(t.program,"entry");return n.bindTexture(n.TEXTURE_2D,null),{texture:c,loc:l}}},{key:"render",value:(e=u()(a.a.mark((function t(e){var n,r,i,s,u,c,l,_,h,f,p,T,E,d,g,m,I,v,R,H,O;return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:n=e.input,r=e.width,i=e.height,s=this.gl,u=n instanceof Uint8Array||n instanceof Uint8ClampedArray||n instanceof Float32Array,c=this.pipeLine[0],l=c,_=Et(this.pipeLine);try{for(_.s();!(h=_.n()).done;)f=h.value,l=f,p=f.program,T=f.inputTexture,E=f.inputTextureLoc,d=f.outputTexture,s.useProgram(p),this.program=p,l.update(r,i),s.bindTexture(s.TEXTURE_2D,d),g=o()(l.outputShape,2),m=g[0],I=g[1],this.attachFrameBuffer(d,[l.isLast?3*m:m,I],l.pos),f.isEntry?(l.inputShape=[r,i],s.bindTexture(s.TEXTURE_2D,T),s.activeTexture(s.TEXTURE0),s.uniform1i(E,0),1!==this.glVersion||u?s.texImage2D(s.TEXTURE_2D,0,s.RGBA,r,i,0,s.RGBA,s.UNSIGNED_BYTE,n):s.texImage2D(s.TEXTURE_2D,0,s.RGBA,s.RGBA,s.UNSIGNED_BYTE,n)):(v=c.outputTexture,s.bindTexture(s.TEXTURE_2D,v),s.activeTexture(s.TEXTURE0),R=s.getUniformLocation(p,"entry"),s.uniform1i(R,0)),H=s.getUniformLocation(p,"u_scale"),s.uniform2fv(H,l.scale),O=s.getUniformLocation(p,"u_pos"),s.uniform2fv(O,l.pos),s.clearColor.apply(s,x()(this.fillColor)),s.clear(s.COLOR_BUFFER_BIT),s.drawArrays(s.TRIANGLE_STRIP,0,4)}catch(t){_.e(t)}finally{_.f()}case 7:case"end":return t.stop()}}),t,this)}))),function(t){return e.apply(this,arguments)})},{key:"read",value:function(){var t=this.gl;t.finish();var e=new Float32Array(1228800);t.readPixels(0,0,960,320,t.RGBA,t.FLOAT,e);var n=e.filter((function(t,e){return e%4==0}));console.log(new Array(n),"pixels===========")}},{key:"attachFrameBuffer",value:function(t,e,n){var r=o()(e,2),i=r[0],a=r[1],s=this.gl;return s.framebufferTexture2D(s.FRAMEBUFFER,s.COLOR_ATTACHMENT0,s.TEXTURE_2D,t,0),s.viewport(0,0,i,a),s.scissor(0,0,i,a),this.frameBuffer}},{key:"loadShader",value:function(t,e,n){var r=t.createShader(e);if(null==r)return console.log("unable to create shader"),null;if(t.shaderSource(r,n),t.compileShader(r),!t.getShaderParameter(r,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(r);return console.log("Failed to compile shader: "+o),t.deleteShader(r),null}return r}},{key:"getFillColor",value:function(t){var e=0;0===t.indexOf("rgb")&&(e=0===t.indexOf("rgba")?1:2);var n=t.toLowerCase(),r=[];if(0===e){if(4===n.length){for(var o="#",i=1;i<4;i++)o+=n.slice(i,i+1).concat(n.slice(i,i+1));n=o}for(var a=1;a<7;a+=2)r.push(parseInt("0x"+n.slice(a,a+2)))}else r=n.slice(1===e?4:5,n.length-1).split(",").map((function(t){return parseInt(t)}));return 3===r.length&&r.push(1),r}}]),t}(),It=function(){function t(e){l()(this,t);var n=e.inputs,r=e.type,o=e.attrs;this.options=e,this.type=r,this.attrs=o,this.handleInputs(n),this.computeFn=Q[r]}return h()(t,[{key:"handleInputs",value:function(t){for(var e=0,n=Object.keys(t);e<n.length;e++){t[n[e]].shape.reverse()}}},{key:"handleInputsData",value:function(t){for(var e=this.options.inputs,n=Object.keys(e),r=this.inputs={},o=0,i=n;o<i.length;o++){var a=i[o],s=e[a],u=s.shape,c=s.key,l=U.convertDataToMultiDim(t[a],u);r[c]=l}}},{key:"run",value:function(t){return this.handleInputsData(t),this.computeFn(this.inputs,this.attrs)}}]),t}(),xt=n(25),vt=n.n(xt),Rt=n(26),Ht=n.n(Rt);function Ot(t,e){var n;if("undefined"==typeof Symbol||null==t[Symbol.iterator]){if(Array.isArray(t)||(n=function(t,e){if(!t)return;if("string"==typeof t)return At(t,e);var n=Object.prototype.toString.call(t).slice(8,-1);"Object"===n&&t.constructor&&(n=t.constructor.name);if("Map"===n||"Set"===n)return Array.from(t);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return At(t,e)}(t))||e&&t&&"number"==typeof t.length){n&&(t=n);var r=0,o=function(){};return{s:o,n:function(){return r>=t.length?{done:!0}:{done:!1,value:t[r++]}},e:function(t){throw t},f:o}}throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}var i,a=!0,s=!1;return{s:function(){n=t[Symbol.iterator]()},n:function(){var t=n.next();return a=t.done,t},e:function(t){s=!0,i=t},f:function(){try{a||null==n.return||n.return()}finally{if(s)throw i}}}}function At(t,e){(null==e||e>t.length)&&(e=t.length);for(var n=0,r=new Array(e);n<e;n++)r[n]=t[n];return r}var yt=function(){function t(e){l()(this,t);var n={inputType:"image",needPreheat:!0,multiOutputConfig:null,usePipeLine:!!T.a.env().usePipeLine};this.modelConfig=Object.assign(n,e),this.flags={isRunning:!1,isPreheating:!1,runVideoPaused:!1},this.buffer=new Float32Array,this.io=new g,this.model=null,this.preheatFeed=null,this.utils=U,this.pipeLine=null,this.gpu=null,this.modelConfig.needPostProcess&&(this.postProcess=new PostProcess(e)),this.postOp=null,this.isMobile=navigator.userAgent.indexOf("iPhone")>=0||navigator.userAgent.indexOf("Android")>=0}var e,n,r,i,s,c,_,f;return h()(t,[{key:"loadModel",value:(f=u()(a.a.mark((function t(){var e,n,r,o,i,s,u,c,l,_,h,f,p,E,d,g,m,I,x,v,R,H;return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return e=this.modelConfig,n=e.fileCount,r=e.needPreheat,o=e.mean,i=void 0===o?[0,0,0]:o,s=e.std,u=void 0===s?[1,1,1]:s,c=e.feedShape,l=e.targetSize,_=e.scale,h=e.fill,f=e.usePipeLine,p=e.inputType,E=e.multiOutputConfig,d=c.fw,g=c.fh,"/"!==(m=this.modelConfig.modelPath).charAt(m.length-1)&&(m+="/"),I={dir:0===m.indexOf("http")?m:"/".concat(m),main:"model.json"},x=new ot({urlConf:I,options:{multipart:!0,dataType:"binary",options:{fileCount:n,getFileName:function(t){return"chunk_".concat(t,".dat")}},feedShape:c,mean:i,std:u,scale:_,targetSize:l,inputType:p,usePipeLine:f},multiOutputConfig:E}),t.next=8,x.load();case 8:if(this.model=t.sent,this.gpu=this.model.graph.inst.gpu,this.gl=this.gpu.gl,this.glVersion=this.gpu.version,v=this.gpu.frameBufferSupportFloat,f&&(this.pipeLine=new mt(this.gl,this.glVersion,v,[{name:"resize",options:{outputShape:[d,g],targetSize:l,scale:_}}],{mean:i,std:u,fill:h,shape:[d,g]})),r){t.next=16;break}return t.abrupt("return");case 16:return T.a.env().debug&&!this.isMobile&&(R=new CustomEvent("loaded",{detail:[]}),window.dispatchEvent(R)),t.next=19,this.preheat();case 19:return H=t.sent,t.abrupt("return",H);case 21:case"end":return t.stop()}}),t,this)}))),function(){return f.apply(this,arguments)})},{key:"checkModelLoaded",value:(_=u()(a.a.mark((function t(){return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:if(this.model){t.next=4;break}return console.info("It's better to preheat the model before running."),t.next=4,this.loadModel();case 4:case"end":return t.stop()}}),t,this)}))),function(){return _.apply(this,arguments)})},{key:"preheat",value:(c=u()(a.a.mark((function t(){var e,n,r,o,i,s,u,c,l,_=this;return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,this.checkModelLoaded();case 2:return this.model.graph.iLayer=0,this.flags.isPreheating=!0,e=this.modelConfig,n=e.feedShape,r=e.usePipeLine,o=n.fh,i=n.fw,s=this.preheatFeed=[{data:new Float32Array(3*o*i).fill(5),name:r?"feed":"image",shape:[1,3,o,i]}],u=this.model.execute({input:s}),this.model.graph.postOps&&this.model.graph.postOps.length&&(this.postOp=new It(this.model.graph.postOps[0])),t.next=11,this.runAfter(u);case 11:return c=t.sent,T.a.env().debug&&(this.isMobile?(console.log(window.layerName,"window.layerName"),console.log(this.modelConfig.fetchShape,"shape"),vt()({method:"post",url:"http://172.24.205.49:8912/save",data:Ht.a.stringify({fileName:"mobile",result:JSON.stringify(c),ua:navigator.userAgent,layerName:window.layerName,shape:JSON.stringify(Array.from(this.modelConfig.fetchShape)||[])}),headers:{"content-type":"application/x-www-form-urlencoded;charset=utf-8"}}).then((function(t){if(console.log(t),t&&t.data){var e=t.data,n=e.status,r=e.layerName,o=e.shape;0===n&&(console.log(r,"nextLayerName"),console.log(o,"shape"),window.layerName=r,_.modelConfig.fetchShape=o,console.log(_.model.graph),_.preheat())}else console.log("返回数据格式不正确")}))):(l=new CustomEvent("preheat",{detail:{data:c}}),window.dispatchEvent(l))),this.flags.isPreheating=!1,t.abrupt("return",c);case 15:case"end":return t.stop()}}),t,this)}))),function(){return c.apply(this,arguments)})},{key:"run",value:(s=u()(a.a.mark((function t(e,n){var r,o,i,s,u,c,l,_,h,f,p,T,E,d,g,m,I,x,v,R,H,O;return a.a.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:this.flags.isRunning=!0,r=this.modelConfig,o=r.feedShape,i=r.fill,s=r.targetSize,u=r.scale,c=r.mean,l=void 0===c?[0,0,0]:c,_=r.std,h=void 0===_?[1,1,1]:_,f=r.bgr,p=r.center,T=r.usePipeLine,E=r.normalizeType,d=o.fh,g=o.fw,m=r.inputType,x=e.data,v=e.width,R=e.height,T&&("[object HTMLImageElement]"===(H=Object.prototype.toString.call(e))||"[object HTMLVideoElement]"===H?m="htmlImageElement":"[object ImageData]"===H?m="ImageData":e.data&&(e.data instanceof Uint8Array||e.data instanceof Uint8ClampedArray||e.data instanceof Float32Array||e.data instanceof 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t=this.maxIndex,e=this.anchors;this.pxmin=e[t][0],this.pymin=e[t][1],this.pxmax=e[t][2],this.pymax=e[t][3]}},{key:"decodeKp",value:function(){var t=this.modelResult,e=this.maxIndex,n=(this.pxmin+this.pxmax)/2,r=(this.pymin+this.pymax)/2,o=this.pxmax-this.pxmin,i=this.pymax-this.pymin,a=[[],[],[]];a[0][0]=256*(t[e*this.output_size+6]*o*.1+n),a[0][1]=256*(t[e*this.output_size+8]*i*.1+r),a[2][0]=256*(t[e*this.output_size+7]*o*.1+n),a[2][1]=256*(t[e*this.output_size+9]*i*.1+r),this.kp=a}},{key:"decodeBox",value:function(){var t=this.modelResult,e=this.output_size||10,n=this.pxmax-this.pxmin,r=this.pymax-this.pymin,o=this.pxmin+n/2,i=this.pymin+r/2,a=this.maxIndex,s=t[e*a+2],u=t[e*a+3],c=t[e*a+4],l=t[e*a+5],_=.1*s*n+o,h=.1*u*r+i,f=this.tw=Math.pow(2.71828182,.1*c)*n,p=this.th=Math.pow(2.71828182,.1*l)*r,T=[[],[],[],[]];T[0][0]=parseInt(256*(_-f/2)),T[0][1]=parseInt(256*(h-p/2)),T[1][0]=parseInt(256*(_+f/2)),T[1][1]=parseInt(256*(h-p/2)),T[2][0]=parseInt(256*(_+f/2)),T[2][1]=parseInt(256*(h+p/2)),T[3][0]=parseInt(256*(_-f/2)),T[3][1]=parseInt(256*(h+p/2)),this.box=T}},{key:"decodeTriangle",value:function(){var t=1.04*Math.max(256*this.tw,256*this.th),e=[[],[]],n=this.kp,r=[[],[],[]],o=[];e[0]=n[2][0]-n[0][0],e[1]=n[2][1]-n[0][1];var i=Math.sqrt(Math.pow(e[0],2)+Math.pow(e[1],2))||1;e[0]=e[0]/i,e[1]=e[1]/i,o[0]=0*e[0]+1*e[1],o[1]=-1*e[0]+0*e[1],r[0][0]=n[2][0],r[0][1]=n[2][1],r[1][0]=n[2][0]+e[0]*t,r[1][1]=n[2][1]+e[1]*t,r[2][0]=n[2][0]+o[0]*t,r[2][1]=n[2][1]+o[1]*t,this.triangle=r}},{key:"decodeSource",value:function(){for(var t=this.kp,e=0*(t[0][0]-t[2][0]),n=0*(t[0][1]-t[2][1]),r=[[],[],[]],o=0;o<3;o++)r[o][0]=this.triangle[o][0]-e,r[o][1]=this.triangle[o][1]-n;this.source=r}},{key:"outputResult",value:function(){for(var t=0;t<4;t++)this.detectResult[t][0]=this.box[t][0],this.detectResult[t][1]=this.box[t][1];this.detectResult[4][0]=this.kp[0][0],this.detectResult[4][1]=this.kp[0][1],this.detectResult[6][0]=this.kp[2][0],this.detectResult[6][1]=this.kp[2][1];for(var e=0;e<3;e++)this.detectResult[e+11][0]=this.source[e][0],this.detectResult[e+11][1]=this.source[e][1]}},{key:"getaffinetransform",value:function(){var t=[].concat(this.detectResult[11][0]/128-1).concat(this.detectResult[12][0]/128-1).concat(this.detectResult[13][0]/128-1).concat(1-this.detectResult[11][1]/128).concat(1-this.detectResult[12][1]/128).concat(1-this.detectResult[13][1]/128).concat([1,1,1]),e=new g(3,3,t),n=new g(2,3,[0,0,-1,0,-1,0]),r=function(t){if(0===m(t))return!1;function e(t,e,n){for(var r,o,i=t.length,a=[],s=0;s<i-1;s++){a[s]=[],r=s<e?s:s+1;for(var u=0;u<i-1;u++)o=u<n?u:u+1,a[s][u]=t[r][o]}return Math.pow(-1,e+n)*m(a)}for(var n=t.length,r=[],o=0;o<n;o++){r[o]=[];for(var i=0;i<n;i++)r[o][i]=e(t,i,o)}return function(t,e){for(var n=e.length,r=e[0].length,o=[],i=0;i<n;i++){o[i]=[];for(var a=0;a<r;a++)o[i][a]=t*e[i][a]}return o}(1/m(t),r)}(e.data),o=function(t,e){var n=new g(t.row,e.col);if(t.col==e.row){for(var r=0;r<t.row;r++)for(var o=0;o<e.col;o++){n.data[r][o]=0;for(var i=0;i<t.col;i++)n.data[r][o]+=t.data[r][i]*e.data[i][o];n.data[r][o]=n.data[r][o].toFixed(5)}return n}}(n,r=new 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