diff --git a/README.md b/README.md index 0d8bcf6..e833b80 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,8 @@ # PyTorch in JavaScript - JS-PyTorch is a Deep Learning **JavaScript library** built from scratch, to closely follow PyTorch's syntax. -- It contains a fully functional [Tensor](src/tensor.ts) object, which can track gradients, Deep Learning [Layers](src/layers.ts) and functions, and an **Automatic Differentiation** engine. +- This library has **GPU support**, using GPU.js. +- It contains a gradient-tracking [Tensor](src/tensor.ts) object, Deep Learning [Layers](src/layers.ts) and functions, and an **Automatic Differentiation** engine. - Feel free to try out the Web Demo! > **Note:** You can install the package locally with: `npm install js-pytorch` @@ -94,7 +95,7 @@ const { torch } = require("js-pytorch"); // Instantiate Tensors: let x = torch.randn([8, 4, 5]); -let w = torch.randn([8, 5, 4], (requires_grad = true)); +let w = torch.randn([8, 5, 4], (requires_grad = true), (device = 'gpu)); let b = torch.tensor([0.2, 0.5, 0.1, 0.0], (requires_grad = true)); // Make calculations: @@ -115,6 +116,7 @@ console.log(b.grad); const { torch } = require("js-pytorch"); const nn = torch.nn; const optim = torch.optim; +const device = 'gpu'; // Define training hyperparameters: const vocab_size = 52; @@ -126,15 +128,15 @@ const batch_size = 8; // Create Transformer decoder Module: class Transformer extends nn.Module { - constructor(vocab_size, hidden_size, n_timesteps, n_heads, dropout_p) { + constructor(vocab_size, hidden_size, n_timesteps, n_heads, dropout_p, device) { super(); // Instantiate Transformer's Layers: this.embed = new nn.Embedding(vocab_size, hidden_size); this.pos_embed = new nn.PositionalEmbedding(n_timesteps, hidden_size); - this.b1 = new nn.Block(hidden_size, hidden_size, n_heads, n_timesteps,dropout_p); - this.b2 = new nn.Block(hidden_size, hidden_size, n_heads, n_timesteps,dropout_p); + this.b1 = new nn.Block(hidden_size, hidden_size, n_heads, n_timesteps, dropout_p, device); + this.b2 = new nn.Block(hidden_size, hidden_size, n_heads, n_timesteps, dropout_p, device); this.ln = new nn.LayerNorm(hidden_size); - this.linear = new nn.Linear(hidden_size, vocab_size); + this.linear = new nn.Linear(hidden_size, vocab_size, device); } forward(x) { @@ -149,7 +151,7 @@ class Transformer extends nn.Module { } // Instantiate your custom nn.Module: -const model = new Transformer(vocab_size, hidden_size, n_timesteps, n_heads, dropout_p); +const model = new Transformer(vocab_size, hidden_size, n_timesteps, n_heads, dropout_p, device); // Define loss function and optimizer: const loss_func = new nn.CrossEntropyLoss(); @@ -182,6 +184,25 @@ for (let i = 0; i < 40; i++) { } ``` +### Saving and Loading models: + +```typescript +// Instantiate your model: +const model = new Transformer(vocab_size, hidden_size, n_timesteps, n_heads, dropout_p); + +// Train the model: +trainModel(model); + +// Save model to JSON file: +torch.save(model, 'model.json') + +// To load, instantiate placeHolder using the original model's architecture: +const placeHolder = new Transformer(vocab_size, hidden_size, n_timesteps, n_heads, dropout_p); +// Load weights into placeHolder: +const newModel = torch.load(placeHolder, 'model.json') +``` + +
## 3. Distribution & Devtools diff --git a/assets/demo/bundle.js b/assets/demo/bundle.js new file mode 100644 index 0000000..54befdd Binary files /dev/null and b/assets/demo/bundle.js differ diff --git a/assets/demo/demo.css b/assets/demo/demo.css index 46932d3..97ffe76 100644 --- a/assets/demo/demo.css +++ b/assets/demo/demo.css @@ -141,6 +141,20 @@ button:active { background-color: #821414; } +.device-button { + width: 10%; + background-color: #818181; + padding-left: 1%; +} + +.device-button:hover { + background-color: #5f5f5f; +} + +.device-button:active { + background-color: #3a3a3a; +} + .icon { width: 72%; margin: auto; @@ -201,4 +215,3 @@ input { font-size: 16px; color:#1b1b1b; } - diff --git a/assets/demo/demo.html b/assets/demo/demo.html index c6dd3b7..2b19aa6 100644 --- a/assets/demo/demo.html +++ b/assets/demo/demo.html @@ -6,28 +6,28 @@ Neural Network Demo - + + -
- +
-

Welcome to JS-Torch's Web Demo! You can choose the Model Hyperparameters on the left, set the Model Layers on the right (number of layers and hidden dimension on each).

+

Welcome to JS-PyTorch's Web Demo! You can choose the Model Hyperparameters on the left, set the Model Layers on the right (number of layers and hidden dimension on each).

@@ -90,13 +93,14 @@

Graph

Iteration:

Total Training Examples:

Loss:

+

Device:

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t,n=e.pos;if(e.eat(117)){if(this.regexp_eatFixedHexDigits(e,4)){var r=e.lastIntValue;if(e.switchU&&r>=55296&&r<=56319){var i=e.pos;if(e.eat(92)&&e.eat(117)&&this.regexp_eatFixedHexDigits(e,4)){var s=e.lastIntValue;if(s>=56320&&s<=57343)return e.lastIntValue=1024*(r-55296)+(s-56320)+65536,!0}e.pos=i,e.lastIntValue=r}return!0}if(e.switchU&&e.eat(123)&&this.regexp_eatHexDigits(e)&&e.eat(125)&&((t=e.lastIntValue)>=0&&t<=1114111))return!0;e.switchU&&e.raise("Invalid unicode escape"),e.pos=n}return!1},ge.regexp_eatIdentityEscape=function(e){if(e.switchU)return!!this.regexp_eatSyntaxCharacter(e)||!!e.eat(47)&&(e.lastIntValue=47,!0);var t=e.current();return!(99===t||e.switchN&&107===t)&&(e.lastIntValue=t,e.advance(),!0)},ge.regexp_eatDecimalEscape=function(e){e.lastIntValue=0;var t=e.current();if(t>=49&&t<=57){do{e.lastIntValue=10*e.lastIntValue+(t-48),e.advance()}while((t=e.current())>=48&&t<=57);return!0}return!1},ge.regexp_eatCharacterClassEscape=function(e){var t=e.current();if(function(e){return 100===e||68===e||115===e||83===e||119===e||87===e}(t))return e.lastIntValue=-1,e.advance(),!0;if(e.switchU&&this.options.ecmaVersion>=9&&(80===t||112===t)){if(e.lastIntValue=-1,e.advance(),e.eat(123)&&this.regexp_eatUnicodePropertyValueExpression(e)&&e.eat(125))return!0;e.raise("Invalid property name")}return!1},ge.regexp_eatUnicodePropertyValueExpression=function(e){var t=e.pos;if(this.regexp_eatUnicodePropertyName(e)&&e.eat(61)){var n=e.lastStringValue;if(this.regexp_eatUnicodePropertyValue(e)){var r=e.lastStringValue;return this.regexp_validateUnicodePropertyNameAndValue(e,n,r),!0}}if(e.pos=t,this.regexp_eatLoneUnicodePropertyNameOrValue(e)){var i=e.lastStringValue;return this.regexp_validateUnicodePropertyNameOrValue(e,i),!0}return!1},ge.regexp_validateUnicodePropertyNameAndValue=function(e,t,n){D(e.unicodeProperties.nonBinary,t)||e.raise("Invalid property name"),e.unicodeProperties.nonBinary[t].test(n)||e.raise("Invalid property value")},ge.regexp_validateUnicodePropertyNameOrValue=function(e,t){e.unicodeProperties.binary.test(t)||e.raise("Invalid property name")},ge.regexp_eatUnicodePropertyName=function(e){var t=0;for(e.lastStringValue="";ve(t=e.current());)e.lastStringValue+=ye(t),e.advance();return""!==e.lastStringValue},ge.regexp_eatUnicodePropertyValue=function(e){var t=0;for(e.lastStringValue="";Se(t=e.current());)e.lastStringValue+=ye(t),e.advance();return""!==e.lastStringValue},ge.regexp_eatLoneUnicodePropertyNameOrValue=function(e){return this.regexp_eatUnicodePropertyValue(e)},ge.regexp_eatCharacterClass=function(e){if(e.eat(91)){if(e.eat(94),this.regexp_classRanges(e),e.eat(93))return!0;e.raise("Unterminated character class")}return!1},ge.regexp_classRanges=function(e){for(;this.regexp_eatClassAtom(e);){var t=e.lastIntValue;if(e.eat(45)&&this.regexp_eatClassAtom(e)){var n=e.lastIntValue;!e.switchU||-1!==t&&-1!==n||e.raise("Invalid character class"),-1!==t&&-1!==n&&t>n&&e.raise("Range out of order in character class")}}},ge.regexp_eatClassAtom=function(e){var t=e.pos;if(e.eat(92)){if(this.regexp_eatClassEscape(e))return!0;if(e.switchU){var n=e.current();(99===n||we(n))&&e.raise("Invalid class escape"),e.raise("Invalid escape")}e.pos=t}var r=e.current();return 93!==r&&(e.lastIntValue=r,e.advance(),!0)},ge.regexp_eatClassEscape=function(e){var t=e.pos;if(e.eat(98))return e.lastIntValue=8,!0;if(e.switchU&&e.eat(45))return e.lastIntValue=45,!0;if(!e.switchU&&e.eat(99)){if(this.regexp_eatClassControlLetter(e))return!0;e.pos=t}return this.regexp_eatCharacterClassEscape(e)||this.regexp_eatCharacterEscape(e)},ge.regexp_eatClassControlLetter=function(e){var t=e.current();return!(!Ae(t)&&95!==t)&&(e.lastIntValue=t%32,e.advance(),!0)},ge.regexp_eatHexEscapeSequence=function(e){var t=e.pos;if(e.eat(120)){if(this.regexp_eatFixedHexDigits(e,2))return!0;e.switchU&&e.raise("Invalid escape"),e.pos=t}return!1},ge.regexp_eatDecimalDigits=function(e){var t=e.pos,n=0;for(e.lastIntValue=0;Ae(n=e.current());)e.lastIntValue=10*e.lastIntValue+(n-48),e.advance();return e.pos!==t},ge.regexp_eatHexDigits=function(e){var t=e.pos,n=0;for(e.lastIntValue=0;_e(n=e.current());)e.lastIntValue=16*e.lastIntValue+Ee(n),e.advance();return e.pos!==t},ge.regexp_eatLegacyOctalEscapeSequence=function(e){if(this.regexp_eatOctalDigit(e)){var t=e.lastIntValue;if(this.regexp_eatOctalDigit(e)){var n=e.lastIntValue;t<=3&&this.regexp_eatOctalDigit(e)?e.lastIntValue=64*t+8*n+e.lastIntValue:e.lastIntValue=8*t+n}else e.lastIntValue=t;return!0}return!1},ge.regexp_eatOctalDigit=function(e){var t=e.current();return we(t)?(e.lastIntValue=t-48,e.advance(),!0):(e.lastIntValue=0,!1)},ge.regexp_eatFixedHexDigits=function(e,t){var n=e.pos;e.lastIntValue=0;for(var r=0;r>10),56320+(1023&e)))}Ie.next=function(e){!e&&this.type.keyword&&this.containsEsc&&this.raiseRecoverable(this.start,"Escape sequence in keyword "+this.type.keyword),this.options.onToken&&this.options.onToken(new ke(this)),this.lastTokEnd=this.end,this.lastTokStart=this.start,this.lastTokEndLoc=this.endLoc,this.lastTokStartLoc=this.startLoc,this.nextToken()},Ie.getToken=function(){return this.next(),new ke(this)},"undefined"!=typeof Symbol&&(Ie[Symbol.iterator]=function(){var e=this;return{next:function(){var t=e.getToken();return{done:t.type===T.eof,value:t}}}}),Ie.curContext=function(){return this.context[this.context.length-1]},Ie.nextToken=function(){var e=this.curContext();return e&&e.preserveSpace||this.skipSpace(),this.start=this.pos,this.options.locations&&(this.startLoc=this.curPosition()),this.pos>=this.input.length?this.finishToken(T.eof):e.override?e.override(this):void this.readToken(this.fullCharCodeAtPos())},Ie.readToken=function(e){return p(e,this.options.ecmaVersion>=6)||92===e?this.readWord():this.getTokenFromCode(e)},Ie.fullCharCodeAtPos=function(){var e=this.input.charCodeAt(this.pos);return e<=55295||e>=57344?e:(e<<10)+this.input.charCodeAt(this.pos+1)-56613888},Ie.skipBlockComment=function(){var e,t=this.options.onComment&&this.curPosition(),n=this.pos,r=this.input.indexOf("*/",this.pos+=2);if(-1===r&&this.raise(this.pos-2,"Unterminated comment"),this.pos=r+2,this.options.locations)for(S.lastIndex=n;(e=S.exec(this.input))&&e.index8&&e<14||e>=5760&&_.test(String.fromCharCode(e))))break e;++this.pos}}},Ie.finishToken=function(e,t){this.end=this.pos,this.options.locations&&(this.endLoc=this.curPosition());var n=this.type;this.type=e,this.value=t,this.updateContext(n)},Ie.readToken_dot=function(){var e=this.input.charCodeAt(this.pos+1);if(e>=48&&e<=57)return this.readNumber(!0);var t=this.input.charCodeAt(this.pos+2);return this.options.ecmaVersion>=6&&46===e&&46===t?(this.pos+=3,this.finishToken(T.ellipsis)):(++this.pos,this.finishToken(T.dot))},Ie.readToken_slash=function(){var e=this.input.charCodeAt(this.pos+1);return this.exprAllowed?(++this.pos,this.readRegexp()):61===e?this.finishOp(T.assign,2):this.finishOp(T.slash,1)},Ie.readToken_mult_modulo_exp=function(e){var t=this.input.charCodeAt(this.pos+1),n=1,r=42===e?T.star:T.modulo;return this.options.ecmaVersion>=7&&42===e&&42===t&&(++n,r=T.starstar,t=this.input.charCodeAt(this.pos+2)),61===t?this.finishOp(T.assign,n+1):this.finishOp(r,n)},Ie.readToken_pipe_amp=function(e){var t=this.input.charCodeAt(this.pos+1);return t===e?this.finishOp(124===e?T.logicalOR:T.logicalAND,2):61===t?this.finishOp(T.assign,2):this.finishOp(124===e?T.bitwiseOR:T.bitwiseAND,1)},Ie.readToken_caret=function(){return 61===this.input.charCodeAt(this.pos+1)?this.finishOp(T.assign,2):this.finishOp(T.bitwiseXOR,1)},Ie.readToken_plus_min=function(e){var t=this.input.charCodeAt(this.pos+1);return t===e?45!==t||this.inModule||62!==this.input.charCodeAt(this.pos+2)||0!==this.lastTokEnd&&!v.test(this.input.slice(this.lastTokEnd,this.pos))?this.finishOp(T.incDec,2):(this.skipLineComment(3),this.skipSpace(),this.nextToken()):61===t?this.finishOp(T.assign,2):this.finishOp(T.plusMin,1)},Ie.readToken_lt_gt=function(e){var t=this.input.charCodeAt(this.pos+1),n=1;return t===e?(n=62===e&&62===this.input.charCodeAt(this.pos+2)?3:2,61===this.input.charCodeAt(this.pos+n)?this.finishOp(T.assign,n+1):this.finishOp(T.bitShift,n)):33!==t||60!==e||this.inModule||45!==this.input.charCodeAt(this.pos+2)||45!==this.input.charCodeAt(this.pos+3)?(61===t&&(n=2),this.finishOp(T.relational,n)):(this.skipLineComment(4),this.skipSpace(),this.nextToken())},Ie.readToken_eq_excl=function(e){var t=this.input.charCodeAt(this.pos+1);return 61===t?this.finishOp(T.equality,61===this.input.charCodeAt(this.pos+2)?3:2):61===e&&62===t&&this.options.ecmaVersion>=6?(this.pos+=2,this.finishToken(T.arrow)):this.finishOp(61===e?T.eq:T.prefix,1)},Ie.getTokenFromCode=function(e){switch(e){case 46:return this.readToken_dot();case 40:return++this.pos,this.finishToken(T.parenL);case 41:return++this.pos,this.finishToken(T.parenR);case 59:return++this.pos,this.finishToken(T.semi);case 44:return++this.pos,this.finishToken(T.comma);case 91:return++this.pos,this.finishToken(T.bracketL);case 93:return++this.pos,this.finishToken(T.bracketR);case 123:return++this.pos,this.finishToken(T.braceL);case 125:return++this.pos,this.finishToken(T.braceR);case 58:return++this.pos,this.finishToken(T.colon);case 63:return++this.pos,this.finishToken(T.question);case 96:if(this.options.ecmaVersion<6)break;return++this.pos,this.finishToken(T.backQuote);case 48:var t=this.input.charCodeAt(this.pos+1);if(120===t||88===t)return this.readRadixNumber(16);if(this.options.ecmaVersion>=6){if(111===t||79===t)return this.readRadixNumber(8);if(98===t||66===t)return this.readRadixNumber(2)}case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:return this.readNumber(!1);case 34:case 39:return this.readString(e);case 47:return this.readToken_slash();case 37:case 42:return this.readToken_mult_modulo_exp(e);case 124:case 38:return this.readToken_pipe_amp(e);case 94:return this.readToken_caret();case 43:case 45:return this.readToken_plus_min(e);case 60:case 62:return this.readToken_lt_gt(e);case 61:case 33:return this.readToken_eq_excl(e);case 126:return this.finishOp(T.prefix,1)}this.raise(this.pos,"Unexpected character '"+De(e)+"'")},Ie.finishOp=function(e,t){var n=this.input.slice(this.pos,this.pos+t);return this.pos+=t,this.finishToken(e,n)},Ie.readRegexp=function(){for(var e,t,n=this.pos;;){this.pos>=this.input.length&&this.raise(n,"Unterminated regular expression");var r=this.input.charAt(this.pos);if(v.test(r)&&this.raise(n,"Unterminated regular expression"),e)e=!1;else{if("["===r)t=!0;else if("]"===r&&t)t=!1;else if("/"===r&&!t)break;e="\\"===r}++this.pos}var i=this.input.slice(n,this.pos);++this.pos;var s=this.pos,a=this.readWord1();this.containsEsc&&this.unexpected(s);var o=this.regexpState||(this.regexpState=new xe(this));o.reset(n,i,a),this.validateRegExpFlags(o),this.validateRegExpPattern(o);var u=null;try{u=new RegExp(i,a)}catch(e){}return this.finishToken(T.regexp,{pattern:i,flags:a,value:u})},Ie.readInt=function(e,t){for(var n=this.pos,r=0,i=0,s=null==t?1/0:t;i=97?a-97+10:a>=65?a-65+10:a>=48&&a<=57?a-48:1/0)>=e)break;++this.pos,r=r*e+o}return this.pos===n||null!=t&&this.pos-n!==t?null:r},Ie.readRadixNumber=function(e){var t=this.pos;this.pos+=2;var n=this.readInt(e);return null==n&&this.raise(this.start+2,"Expected number in radix "+e),this.options.ecmaVersion>=11&&110===this.input.charCodeAt(this.pos)?(n="undefined"!=typeof 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directly after number");var a=this.input.slice(t,this.pos),o=n?parseInt(a,8):parseFloat(a);return this.finishToken(T.num,o)},Ie.readCodePoint=function(){var e;if(123===this.input.charCodeAt(this.pos)){this.options.ecmaVersion<6&&this.unexpected();var t=++this.pos;e=this.readHexChar(this.input.indexOf("}",this.pos)-this.pos),++this.pos,e>1114111&&this.invalidStringToken(t,"Code point out of bounds")}else e=this.readHexChar(4);return e},Ie.readString=function(e){for(var t="",n=++this.pos;;){this.pos>=this.input.length&&this.raise(this.start,"Unterminated string constant");var r=this.input.charCodeAt(this.pos);if(r===e)break;92===r?(t+=this.input.slice(n,this.pos),t+=this.readEscapedChar(!1),n=this.pos):(A(r,this.options.ecmaVersion>=10)&&this.raise(this.start,"Unterminated string constant"),++this.pos)}return t+=this.input.slice(n,this.pos++),this.finishToken(T.string,t)};var Ce={};Ie.tryReadTemplateToken=function(){this.inTemplateElement=!0;try{this.readTmplToken()}catch(e){if(e!==Ce)throw e;this.readInvalidTemplateToken()}this.inTemplateElement=!1},Ie.invalidStringToken=function(e,t){if(this.inTemplateElement&&this.options.ecmaVersion>=9)throw Ce;this.raise(e,t)},Ie.readTmplToken=function(){for(var e="",t=this.pos;;){this.pos>=this.input.length&&this.raise(this.start,"Unterminated template");var n=this.input.charCodeAt(this.pos);if(96===n||36===n&&123===this.input.charCodeAt(this.pos+1))return this.pos!==this.start||this.type!==T.template&&this.type!==T.invalidTemplate?(e+=this.input.slice(t,this.pos),this.finishToken(T.template,e)):36===n?(this.pos+=2,this.finishToken(T.dollarBraceL)):(++this.pos,this.finishToken(T.backQuote));if(92===n)e+=this.input.slice(t,this.pos),e+=this.readEscapedChar(!0),t=this.pos;else if(A(n)){switch(e+=this.input.slice(t,this.pos),++this.pos,n){case 13:10===this.input.charCodeAt(this.pos)&&++this.pos;case 10:e+="\n";break;default:e+=String.fromCharCode(n)}this.options.locations&&(++this.curLine,this.lineStart=this.pos),t=this.pos}else++this.pos}},Ie.readInvalidTemplateToken=function(){for(;this.pos=48&&t<=55){var r=this.input.substr(this.pos-1,3).match(/^[0-7]+/)[0],i=parseInt(r,8);return i>255&&(r=r.slice(0,-1),i=parseInt(r,8)),this.pos+=r.length-1,t=this.input.charCodeAt(this.pos),"0"===r&&56!==t&&57!==t||!this.strict&&!e||this.invalidStringToken(this.pos-1-r.length,e?"Octal literal in template string":"Octal literal in strict mode"),String.fromCharCode(i)}return A(t)?"":String.fromCharCode(t)}},Ie.readHexChar=function(e){var t=this.pos,n=this.readInt(16,e);return null===n&&this.invalidStringToken(t,"Bad character escape sequence"),n},Ie.readWord1=function(){this.containsEsc=!1;for(var e="",t=!0,n=this.pos,r=this.options.ecmaVersion>=6;this.pos0;)l.pop()}function v(e,t){h[e]=t}function S(e){const t=f[e];return t?n+"."+t:e}function A(e){y=" ".repeat(e)}function _(e,t){const 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gpuMock")},e.setConstants=t=>(e.constants=t,e),e.setGraphical=t=>(e.graphical=t,e),e.setCanvas=t=>(e.canvas=t,e),e.setContext=t=>(e.context=t,e),e.destroy=()=>{},e.validateSettings=()=>{},e.graphical&&e.output&&l(e),e.exec=function(){return new Promise(((t,n)=>{try{t(e.apply(e,arguments))}catch(e){n(e)}}))},e.getPixels=t=>{const{x:n,y:r}=e.output;return t?function(e,t,n){const r=n/2|0,i=4*t,s=new Uint8ClampedArray(4*t),a=e.slice(0);for(let e=0;ee,n=["setWarnVarUsage","setArgumentTypes","setTactic","setOptimizeFloatMemory","setDebug","setLoopMaxIterations","setConstantTypes","setFunctions","setNativeFunctions","setInjectedNative","setPipeline","setPrecision","setOutputToTexture","setImmutable","setStrictIntegers","setDynamicOutput","setHardcodeConstants","setDynamicArguments","setUseLegacyEncoder","setWarnVarUsage","addSubKernel"];for(let r=0;r0&&t.push(", "),t.push("user_"),t.push(n)}t.push(") {\n")}for(let n=0;n0&&t.push(n.join(""),";\n"),t.push(`for (let ${e}=0;${e}0&&t.push(`if (!${r.join("")}) break;\n`),t.push(s.join("")),t.push(`\n${i.join("")};`),t.push("}\n")}return t}astWhileStatement(e,t){if("WhileStatement"!==e.type)throw this.astErrorOutput("Invalid while statement",e);return t.push("for (let i = 0; i < LOOP_MAX; i++) {"),t.push("if ("),this.astGeneric(e.test,t),t.push(") {\n"),this.astGeneric(e.body,t),t.push("} else {\n"),t.push("break;\n"),t.push("}\n"),t.push("}\n"),t}astDoWhileStatement(e,t){if("DoWhileStatement"!==e.type)throw this.astErrorOutput("Invalid while statement",e);return t.push("for (let i = 0; i < LOOP_MAX; i++) {"),this.astGeneric(e.body,t),t.push("if (!"),this.astGeneric(e.test,t),t.push(") {\n"),t.push("break;\n"),t.push("}\n"),t.push("}\n"),t}astAssignmentExpression(e,t){const n=this.getDeclaration(e.left);if(n&&!n.assignable)throw this.astErrorOutput(`Variable ${e.left.name} is not assignable here`,e);return this.astGeneric(e.left,t),t.push(e.operator),this.astGeneric(e.right,t),t}astBlockStatement(e,t){if(this.isState("loop-body")){this.pushState("block-body");for(let n=0;n0&&t.push(",");const r=n[e],i=this.getDeclaration(r.id);i.valueType||(i.valueType=this.getType(r.init)),this.astGeneric(r,t)}return this.isState("in-for-loop-init")||t.push(";"),t}astIfStatement(e,t){return t.push("if ("),this.astGeneric(e.test,t),t.push(")"),"BlockStatement"===e.consequent.type?this.astGeneric(e.consequent,t):(t.push(" {\n"),this.astGeneric(e.consequent,t),t.push("\n}\n")),e.alternate&&(t.push("else "),"BlockStatement"===e.alternate.type||"IfStatement"===e.alternate.type?this.astGeneric(e.alternate,t):(t.push(" {\n"),this.astGeneric(e.alternate,t),t.push("\n}\n"))),t}astSwitchStatement(e,t){const{discriminant:n,cases:r}=e;t.push("switch ("),this.astGeneric(n,t),t.push(") {\n");for(let e=0;e0&&(this.astGeneric(r[e].consequent,t),t.push("break;\n"))):(t.push("default:\n"),this.astGeneric(r[e].consequent,t),r[e].consequent&&r[e].consequent.length>0&&t.push("break;\n"));t.push("\n}")}astThisExpression(e,t){return t.push("_this"),t}astMemberExpression(e,t){const{signature:n,type:r,property:i,xProperty:s,yProperty:a,zProperty:o,name:u,origin:l}=this.getMemberExpressionDetails(e);switch(n){case"this.thread.value":return t.push(`_this.thread.${u}`),t;case"this.output.value":switch(u){case"x":t.push("outputX");break;case"y":t.push("outputY");break;case"z":t.push("outputZ");break;default:throw this.astErrorOutput("Unexpected expression",e)}return t;case"value":default:throw this.astErrorOutput("Unexpected expression",e);case"value[]":case"value[][]":case"value[][][]":case"value.value":if("Math"===l)return t.push(Math[u]),t;switch(i){case"r":return t.push(`user_${u}[0]`),t;case"g":return t.push(`user_${u}[1]`),t;case"b":return t.push(`user_${u}[2]`),t;case"a":return t.push(`user_${u}[3]`),t}break;case"this.constants.value":case"this.constants.value[]":case"this.constants.value[][]":case"this.constants.value[][][]":break;case"fn()[]":return this.astGeneric(e.object,t),t.push("["),this.astGeneric(e.property,t),t.push("]"),t;case"fn()[][]":return this.astGeneric(e.object.object,t),t.push("["),this.astGeneric(e.object.property,t),t.push("]"),t.push("["),this.astGeneric(e.property,t),t.push("]"),t}if(!e.computed)switch(r){case"Number":case"Integer":case"Float":case"Boolean":return t.push(`${l}_${u}`),t}const h=`${l}_${u}`;{let e,n;if("constants"===l){const t=this.constants[u];n="Input"===this.constantTypes[u],e=n?t.size:null}else n=this.isInput(u),e=n?this.argumentSizes[this.argumentNames.indexOf(u)]:null;t.push(`${h}`),o&&a?n?(t.push("[("),this.astGeneric(o,t),t.push(`*${this.dynamicArguments?"(outputY * outputX)":e[1]*e[0]})+(`),this.astGeneric(a,t),t.push(`*${this.dynamicArguments?"outputX":e[0]})+`),this.astGeneric(s,t),t.push("]")):(t.push("["),this.astGeneric(o,t),t.push("]"),t.push("["),this.astGeneric(a,t),t.push("]"),t.push("["),this.astGeneric(s,t),t.push("]")):a?n?(t.push("[("),this.astGeneric(a,t),t.push(`*${this.dynamicArguments?"outputX":e[0]})+`),this.astGeneric(s,t),t.push("]")):(t.push("["),this.astGeneric(a,t),t.push("]"),t.push("["),this.astGeneric(s,t),t.push("]")):void 0!==s&&(t.push("["),this.astGeneric(s,t),t.push("]"))}return t}astCallExpression(e,t){if("CallExpression"!==e.type)throw this.astErrorOutput("Unknown CallExpression",e);let n=this.astMemberExpressionUnroll(e.callee);this.calledFunctions.indexOf(n)<0&&this.calledFunctions.push(n);this.isAstMathFunction(e);this.onFunctionCall&&this.onFunctionCall(this.name,n,e.arguments),t.push(n),t.push("(");const r=this.lookupFunctionArgumentTypes(n)||[];for(let i=0;i0&&t.push(", "),this.astGeneric(s,t)}return t.push(")"),t}astArrayExpression(e,t){const n=this.getType(e),r=e.elements.length,i=[];for(let t=0;t{switch(t){case"_colorData":return"_colorData";case"_imageData":return"_imageData";case"output":return"output";case"thread":return"this.thread"}return JSON.stringify(e[t])},findDependency:(e,t)=>null}),o=r.flattenFunctionToString((a?"function ":"")+e.getPixels.toString(),{thisLookup:t=>{switch(t){case"_colorData":return"_colorData";case"_imageData":return"_imageData";case"output":return"output";case"thread":return"this.thread"}return JSON.stringify(e[t])},findDependency:()=>null});i.push(" _imageData,"," _colorData,",` color: ${t},`),s.push(` kernel.getPixels = ${o};`)}const o=[],u=Object.keys(e.constantTypes);for(let t=0;t"this"===t?(a?"function ":"")+e[n].toString():null,thisLookup:e=>{switch(e){case"canvas":return;case"context":return"context"}}});s.push(t),i.push(" _mediaTo2DArray,"),i.push(" _imageTo3DArray,")}else if(-1!==e.argumentTypes.indexOf("HTMLImage")||-1!==o.indexOf("HTMLImage")){const t=r.flattenFunctionToString((a?"function ":"")+e._mediaTo2DArray.toString(),{findDependency:(e,t)=>null,thisLookup:e=>{switch(e){case"canvas":return"settings.canvas";case"context":return"settings.context"}throw new Error("unhandled thisLookup")}});s.push(t),i.push(" _mediaTo2DArray,")}return`function(settings) {\n${n.join("\n")}\n for (const p in _constantTypes) {\n if (!_constantTypes.hasOwnProperty(p)) continue;\n const type = _constantTypes[p];\n switch (type) {\n case 'Number':\n case 'Integer':\n case 'Float':\n case 'Boolean':\n case 'Array(2)':\n case 'Array(3)':\n case 'Array(4)':\n case 'Matrix(2)':\n case 'Matrix(3)':\n case 'Matrix(4)':\n if (incomingConstants.hasOwnProperty(p)) {\n console.warn('constant ' + p + ' of type ' + type + ' cannot be resigned');\n }\n continue;\n }\n if (!incomingConstants.hasOwnProperty(p)) {\n throw new Error('constant ' + p + ' not found');\n }\n _constants[p] = incomingConstants[p];\n }\n const kernel = (function() {\n${e._kernelString}\n })\n .apply({ ${i.join("\n")} });\n ${s.join("\n")}\n return kernel;\n}`}}},{"../../utils":114}],8:[function(e,t,n){const{Kernel:r}=e("../kernel"),{FunctionBuilder:i}=e("../function-builder"),{CPUFunctionNode:s}=e("./function-node"),{utils:a}=e("../../utils"),{cpuKernelString:o}=e("./kernel-string");t.exports={CPUKernel:class extends r{static getFeatures(){return this.features}static get features(){return Object.freeze({kernelMap:!0,isIntegerDivisionAccurate:!0})}static get isSupported(){return!0}static isContextMatch(e){return!1}static get mode(){return"cpu"}static nativeFunctionArguments(){return null}static nativeFunctionReturnType(){throw new Error(`Looking up native function return type not supported on ${this.name}`)}static combineKernels(e){return e}static getSignature(e,t){return"cpu"+(t.length>0?":"+t.join(","):"")}constructor(e,t){super(e,t),this.mergeSettings(e.settings||t),this._imageData=null,this._colorData=null,this._kernelString=null,this._prependedString=[],this.thread={x:0,y:0,z:0},this.translatedSources=null}initCanvas(){return"undefined"!=typeof document?document.createElement("canvas"):"undefined"!=typeof OffscreenCanvas?new OffscreenCanvas(0,0):void 0}initContext(){return this.canvas?this.canvas.getContext("2d"):null}initPlugins(e){return[]}validateSettings(e){if(!this.output||0===this.output.length){if(1!==e.length)throw new Error("Auto output only supported for kernels with only one input");const t=a.getVariableType(e[0],this.strictIntegers);if("Array"===t)this.output=a.getDimensions(t);else{if("NumberTexture"!==t&&"ArrayTexture(4)"!==t)throw new Error("Auto output not supported for input type: "+t);this.output=e[0].output}}if(this.graphical&&2!==this.output.length)throw new Error("Output must have 2 dimensions on graphical mode");this.checkOutput()}translateSource(){if(this.leadingReturnStatement=this.output.length>1?"resultX[x] = ":"result[x] = ",this.subKernels){const e=[];for(let t=0;t1?`resultX_${n}[x] = subKernelResult_${n};\n`:`result_${n}[x] = subKernelResult_${n};\n`)}this.followingReturnStatement=e.join("")}const e=i.fromKernel(this,s);this.translatedSources=e.getPrototypes("kernel"),this.graphical||this.returnType||(this.returnType=e.getKernelResultType())}build(){if(this.built)return;if(this.setupConstants(),this.setupArguments(arguments),this.validateSettings(arguments),this.translateSource(),this.graphical){const{canvas:e,output:t}=this;if(!e)throw new Error("no canvas available for using graphical output");const n=t[0],r=t[1]||1;e.width=n,e.height=r,this._imageData=this.context.createImageData(n,r),this._colorData=new Uint8ClampedArray(n*r*4)}const e=this.getKernelString();this.kernelString=e,this.debug&&(console.log("Function output:"),console.log(e));try{this.run=new Function([],e).bind(this)()}catch(e){console.error("An error occurred compiling the javascript: ",e)}this.buildSignature(arguments),this.built=!0}color(e,t,n,r){void 0===r&&(r=1),e=Math.floor(255*e),t=Math.floor(255*t),n=Math.floor(255*n),r=Math.floor(255*r);const i=this.output[0],s=this.output[1],a=this.thread.x+(s-this.thread.y-1)*i;this._colorData[4*a+0]=e,this._colorData[4*a+1]=t,this._colorData[4*a+2]=n,this._colorData[4*a+3]=r}getKernelString(){if(null!==this._kernelString)return this._kernelString;let e=null,{translatedSources:t}=this;return t.length>1?t=t.filter((t=>/^function/.test(t)?t:(e=t,!1))):e=t.shift(),this._kernelString=` const LOOP_MAX = ${this._getLoopMaxString()};\n ${this.injectedNative||""}\n const _this = this;\n ${this._resultKernelHeader()}\n ${this._processConstants()}\n return (${this.argumentNames.map((e=>"user_"+e)).join(", ")}) => {\n ${this._prependedString.join("")}\n ${this._earlyThrows()}\n ${this._processArguments()}\n ${this.graphical?this._graphicalKernelBody(e):this._resultKernelBody(e)}\n ${t.length>0?t.join("\n"):""}\n };`}toString(){return o(this)}_getLoopMaxString(){return this.loopMaxIterations?` ${parseInt(this.loopMaxIterations)};`:" 1000;"}_processConstants(){if(!this.constants)return"";const e=[];for(let t in this.constants){switch(this.constantTypes[t]){case"HTMLCanvas":case"OffscreenCanvas":case"HTMLImage":case"ImageBitmap":case"ImageData":case"HTMLVideo":e.push(` const constants_${t} = this._mediaTo2DArray(this.constants.${t});\n`);break;case"HTMLImageArray":e.push(` const constants_${t} = this._imageTo3DArray(this.constants.${t});\n`);break;case"Input":e.push(` const constants_${t} = this.constants.${t}.value;\n`);break;default:e.push(` const constants_${t} = this.constants.${t};\n`)}}return e.join("")}_earlyThrows(){if(this.graphical)return"";if(this.immutable)return"";if(!this.pipeline)return"";const e=[];for(let t=0;t`user_${r} === result_${e.name}`)).join(" || ");t.push(`user_${r} === result${i?` || ${i}`:""}`)}return`if (${t.join(" || ")}) throw new Error('Source and destination arrays are the same. Use immutable = true');`}_processArguments(){const e=[];for(let t=0;t0?e.width:e.videoWidth,r=e.height>0?e.height:e.videoHeight;t.width=0;e--){const t=a[e]=new Array(n);for(let e=0;e`const result_${e.name} = new ${t}(outputX);\n`)).join(" ")}\n ${this._mapSubKernels((e=>`let subKernelResult_${e.name};\n`)).join(" ")}\n for (let x = 0; x < outputX; x++) {\n this.thread.x = x;\n this.thread.y = 0;\n this.thread.z = 0;\n ${e}\n }`}_mutableKernel1DResults(){const e=this._getKernelResultTypeConstructorString();return` const outputX = _this.output[0];\n const result = new ${e}(outputX);\n ${this._mapSubKernels((t=>`const result_${t.name} = new ${e}(outputX);\n`)).join(" ")}\n ${this._mapSubKernels((e=>`let subKernelResult_${e.name};\n`)).join(" ")}`}_resultMutableKernel1DLoop(e){return` const outputX = _this.output[0];\n for (let x = 0; x < outputX; x++) {\n this.thread.x = x;\n this.thread.y = 0;\n this.thread.z = 0;\n ${e}\n }`}_resultImmutableKernel2DLoop(e){const t=this._getKernelResultTypeConstructorString();return` const outputX = _this.output[0];\n const outputY = _this.output[1];\n const result = new Array(outputY);\n ${this._mapSubKernels((e=>`const result_${e.name} = new Array(outputY);\n`)).join(" ")}\n ${this._mapSubKernels((e=>`let subKernelResult_${e.name};\n`)).join(" ")}\n for (let y = 0; y < outputY; y++) {\n this.thread.z = 0;\n this.thread.y = y;\n const resultX = result[y] = new ${t}(outputX);\n ${this._mapSubKernels((e=>`const resultX_${e.name} = result_${e.name}[y] = new ${t}(outputX);\n`)).join("")}\n for (let x = 0; x < outputX; x++) {\n this.thread.x = x;\n ${e}\n }\n }`}_mutableKernel2DResults(){const e=this._getKernelResultTypeConstructorString();return` const outputX = _this.output[0];\n const outputY = _this.output[1];\n const result = new Array(outputY);\n ${this._mapSubKernels((e=>`const result_${e.name} = new Array(outputY);\n`)).join(" ")}\n ${this._mapSubKernels((e=>`let subKernelResult_${e.name};\n`)).join(" ")}\n for (let y = 0; y < outputY; y++) {\n const resultX = result[y] = new ${e}(outputX);\n ${this._mapSubKernels((t=>`const resultX_${t.name} = result_${t.name}[y] = new ${e}(outputX);\n`)).join("")}\n }`}_resultMutableKernel2DLoop(e){const t=this._getKernelResultTypeConstructorString();return` const outputX = _this.output[0];\n const outputY = _this.output[1];\n for (let y = 0; y < outputY; y++) {\n this.thread.z = 0;\n this.thread.y = y;\n const resultX = result[y];\n ${this._mapSubKernels((e=>`const resultX_${e.name} = result_${e.name}[y] = new ${t}(outputX);\n`)).join("")}\n for (let x = 0; x < outputX; x++) {\n this.thread.x = x;\n ${e}\n }\n }`}_graphicalKernel2DLoop(e){return` const outputX = _this.output[0];\n const outputY = _this.output[1];\n for (let y = 0; y < outputY; y++) {\n this.thread.z = 0;\n this.thread.y = y;\n for (let x = 0; x < outputX; x++) {\n this.thread.x = x;\n ${e}\n }\n }`}_resultImmutableKernel3DLoop(e){const t=this._getKernelResultTypeConstructorString();return` const outputX = _this.output[0];\n const outputY = _this.output[1];\n const outputZ = _this.output[2];\n const result = new Array(outputZ);\n ${this._mapSubKernels((e=>`const result_${e.name} = new Array(outputZ);\n`)).join(" ")}\n ${this._mapSubKernels((e=>`let subKernelResult_${e.name};\n`)).join(" ")}\n for (let z = 0; z < outputZ; z++) {\n this.thread.z = z;\n const resultY = result[z] = new Array(outputY);\n ${this._mapSubKernels((e=>`const resultY_${e.name} = result_${e.name}[z] = new Array(outputY);\n`)).join(" ")}\n for (let y = 0; y < outputY; y++) {\n this.thread.y = y;\n const resultX = resultY[y] = new ${t}(outputX);\n ${this._mapSubKernels((e=>`const resultX_${e.name} = resultY_${e.name}[y] = new ${t}(outputX);\n`)).join(" ")}\n for (let x = 0; x < outputX; x++) {\n this.thread.x = x;\n ${e}\n }\n }\n }`}_mutableKernel3DResults(){const e=this._getKernelResultTypeConstructorString();return` const outputX = _this.output[0];\n const outputY = _this.output[1];\n const outputZ = _this.output[2];\n const result = new Array(outputZ);\n ${this._mapSubKernels((e=>`const result_${e.name} = new Array(outputZ);\n`)).join(" ")}\n ${this._mapSubKernels((e=>`let subKernelResult_${e.name};\n`)).join(" ")}\n for (let z = 0; z < outputZ; z++) {\n const resultY = result[z] = new Array(outputY);\n ${this._mapSubKernels((e=>`const resultY_${e.name} = result_${e.name}[z] = new Array(outputY);\n`)).join(" ")}\n for (let y = 0; y < outputY; y++) {\n const resultX = resultY[y] = new ${e}(outputX);\n ${this._mapSubKernels((t=>`const resultX_${t.name} = resultY_${t.name}[y] = new ${e}(outputX);\n`)).join(" ")}\n }\n }`}_resultMutableKernel3DLoop(e){return` const outputX = _this.output[0];\n const outputY = _this.output[1];\n const outputZ = _this.output[2];\n for (let z = 0; z < outputZ; z++) {\n this.thread.z = z;\n const resultY = result[z];\n for (let y = 0; y < outputY; y++) {\n this.thread.y = y;\n const resultX = resultY[y];\n for (let x = 0; x < outputX; x++) {\n this.thread.x = x;\n ${e}\n }\n }\n }`}_kernelOutput(){return this.subKernels?`\n return {\n result: result,\n ${this.subKernels.map((e=>`${e.property}: result_${e.name}`)).join(",\n ")}\n };`:"\n return result;"}_mapSubKernels(e){return null===this.subKernels?[""]:this.subKernels.map(e)}destroy(e){e&&delete this.canvas}static destroyContext(e){}toJSON(){const e=super.toJSON();return e.functionNodes=i.fromKernel(this,s).toJSON(),e}setOutput(e){super.setOutput(e);const[t,n]=this.output;this.graphical&&(this._imageData=this.context.createImageData(t,n),this._colorData=new Uint8ClampedArray(t*n*4))}prependString(e){if(this._kernelString)throw new Error("Kernel already built");this._prependedString.push(e)}hasPrependString(e){return this._prependedString.indexOf(e)>-1}}}},{"../../utils":114,"../function-builder":9,"../kernel":36,"./function-node":6,"./kernel-string":7}],9:[function(e,t,n){class r{static fromKernel(e,t,n){const{kernelArguments:i,kernelConstants:s,argumentNames:a,argumentSizes:o,argumentBitRatios:u,constants:l,constantBitRatios:h,debug:c,loopMaxIterations:p,nativeFunctions:d,output:m,optimizeFloatMemory:f,precision:g,plugins:x,source:y,subKernels:b,functions:T,leadingReturnStatement:v,followingReturnStatement:S,dynamicArguments:A,dynamicOutput:_}=e,E=new Array(i.length),w={};for(let e=0;eG.needsArgumentType(e,t),I=(e,t,n)=>{G.assignArgumentType(e,t,n)},D=(e,t,n)=>G.lookupReturnType(e,t,n),C=e=>G.lookupFunctionArgumentTypes(e),$=(e,t)=>G.lookupFunctionArgumentName(e,t),L=(e,t)=>G.lookupFunctionArgumentBitRatio(e,t),R=(e,t,n,r)=>{G.assignArgumentType(e,t,n,r)},F=(e,t,n,r)=>{G.assignArgumentBitRatio(e,t,n,r)},N=(e,t,n)=>{G.trackFunctionCall(e,t,n)},V=(e,n)=>{const r=[];for(let t=0;tnew t(e.source,{returnType:e.returnType,argumentTypes:e.argumentTypes,output:m,plugins:x,constants:l,constantTypes:w,constantBitRatios:h,optimizeFloatMemory:f,precision:g,lookupReturnType:D,lookupFunctionArgumentTypes:C,lookupFunctionArgumentName:$,lookupFunctionArgumentBitRatio:L,needsArgumentType:k,assignArgumentType:I,triggerImplyArgumentType:R,triggerImplyArgumentBitRatio:F,onFunctionCall:N,onNestedFunction:V}))));let K=null;b&&(K=b.map((e=>{const{name:n,source:r}=e;return new t(r,Object.assign({},M,{name:n,isSubKernel:!0,isRootKernel:!1}))})));const G=new r({kernel:e,rootNode:z,functionNodes:P,nativeFunctions:d,subKernelNodes:K});return G}constructor(e){if(e=e||{},this.kernel=e.kernel,this.rootNode=e.rootNode,this.functionNodes=e.functionNodes||[],this.subKernelNodes=e.subKernelNodes||[],this.nativeFunctions=e.nativeFunctions||[],this.functionMap={},this.nativeFunctionNames=[],this.lookupChain=[],this.functionNodeDependencies={},this.functionCalls={},this.rootNode&&(this.functionMap.kernel=this.rootNode),this.functionNodes)for(let e=0;e-1){const n=t.indexOf(e);if(-1===n)t.push(e);else{const e=t.splice(n,1)[0];t.push(e)}return t}const n=this.functionMap[e];if(n){const r=t.indexOf(e);if(-1===r){t.push(e),n.toString();for(let e=0;e-1){t.push(this.nativeFunctions[i].source);continue}const s=this.functionMap[r];s&&t.push(s.toString())}return t}toJSON(){return this.traceFunctionCalls(this.rootNode.name).reverse().map((e=>{const t=this.nativeFunctions.indexOf(e);if(t>-1)return{name:e,source:this.nativeFunctions[t].source};if(this.functionMap[e])return this.functionMap[e].toJSON();throw new Error(`function ${e} not found`)}))}fromJSON(e,t){this.functionMap={};for(let n=0;n0){const i=t.arguments;for(let t=0;t0&&this.argumentTypes.length!==this.argumentNames.length)throw new Error(`argumentTypes count of ${this.argumentTypes.length} exceeds ${this.argumentNames.length}`);if(this.output.length<1)throw new Error("this.output is not big enough")}isIdentifierConstant(e){return!!this.constants&&this.constants.hasOwnProperty(e)}isInput(e){return"Input"===this.argumentTypes[this.argumentNames.indexOf(e)]}pushState(e){this.states.push(e)}popState(e){if(this.state!==e)throw new Error(`Cannot popState ${e} when in ${this.state}`);this.states.pop()}isState(e){return this.state===e}get state(){return this.states[this.states.length-1]}astMemberExpressionUnroll(e){if("Identifier"===e.type)return e.name;if("ThisExpression"===e.type)return"this";if("MemberExpression"===e.type&&e.object&&e.property)return e.object.hasOwnProperty("name")&&"Math"!==e.object.name?this.astMemberExpressionUnroll(e.property):this.astMemberExpressionUnroll(e.object)+"."+this.astMemberExpressionUnroll(e.property);if(e.hasOwnProperty("expressions")){const t=e.expressions[0];if("Literal"===t.type&&0===t.value&&2===e.expressions.length)return this.astMemberExpressionUnroll(e.expressions[1])}throw this.astErrorOutput("Unknown astMemberExpressionUnroll",e)}getJsAST(e){if(this.ast)return this.ast;if("object"==typeof this.source)return this.traceFunctionAST(this.source),this.ast=this.source;if(null===(e=e||r))throw new Error("Missing JS to AST parser");const t=Object.freeze(e.parse(`const parser_${this.name} = ${this.source};`,{locations:!0})),n=t.body[0].declarations[0].init;if(this.traceFunctionAST(n),!t)throw new Error("Failed to parse JS code");return this.ast=n}traceFunctionAST(e){const{contexts:t,declarations:n,functions:r,identifiers:i,functionCalls:a}=new s(e);this.contexts=t,this.identifiers=i,this.functionCalls=a,this.functions=r;for(let e=0;e":case"<":return"Boolean";case"&":case"|":case"^":case"<<":case">>":case">>>":return"Integer"}const n=this.getType(e.left);if(this.isState("skip-literal-correction"))return n;if("LiteralInteger"===n){const t=this.getType(e.right);return"LiteralInteger"===t?e.left.value%1==0?"Integer":"Float":t}return a[n]||n;case"UpdateExpression":case"ReturnStatement":return this.getType(e.argument);case"UnaryExpression":return"~"===e.operator?"Integer":this.getType(e.argument);case"VariableDeclaration":{const t=e.declarations;let n;for(let e=0;e-1}isAstMathFunction(e){return"CallExpression"===e.type&&e.callee&&"MemberExpression"===e.callee.type&&e.callee.object&&"Identifier"===e.callee.object.type&&"Math"===e.callee.object.name&&e.callee.property&&"Identifier"===e.callee.property.type&&["abs","acos","acosh","asin","asinh","atan","atan2","atanh","cbrt","ceil","clz32","cos","cosh","expm1","exp","floor","fround","imul","log","log2","log10","log1p","max","min","pow","random","round","sign","sin","sinh","sqrt","tan","tanh","trunc"].indexOf(e.callee.property.name)>-1}isAstVariable(e){return"Identifier"===e.type||"MemberExpression"===e.type}isSafe(e){return this.isSafeDependencies(this.getDependencies(e))}isSafeDependencies(e){return!e||!e.every||e.every((e=>e.isSafe))}getDependencies(e,t,n){if(t||(t=[]),!e)return null;if(Array.isArray(e)){for(let r=0;r-1/0&&e.value<1/0&&!isNaN(e.value))});break;case"VariableDeclarator":return this.getDependencies(e.init,t,n);case"Identifier":const r=this.getDeclaration(e);if(r)t.push({name:e.name,origin:"declaration",isSafe:!n&&this.isSafeDependencies(r.dependencies)});else if(this.argumentNames.indexOf(e.name)>-1)t.push({name:e.name,origin:"argument",isSafe:!1});else if(this.strictTypingChecking)throw new Error(`Cannot find identifier origin "${e.name}"`);break;case"FunctionDeclaration":return this.getDependencies(e.body.body[e.body.body.length-1],t,n);case"ReturnStatement":return this.getDependencies(e.argument,t);case"BinaryExpression":case"LogicalExpression":return n="/"===e.operator||"*"===e.operator,this.getDependencies(e.left,t,n),this.getDependencies(e.right,t,n),t;case"UnaryExpression":case"UpdateExpression":return this.getDependencies(e.argument,t,n);case"VariableDeclaration":return this.getDependencies(e.declarations,t,n);case"ArrayExpression":return t.push({origin:"declaration",isSafe:!0}),t;case"CallExpression":return t.push({origin:"function",isSafe:!0}),t;case"MemberExpression":const i=this.getMemberExpressionDetails(e);switch(i.signature){case"value[]":this.getDependencies(e.object,t,n);break;case"value[][]":this.getDependencies(e.object.object,t,n);break;case"value[][][]":this.getDependencies(e.object.object.object,t,n);break;case"this.output.value":this.dynamicOutput&&t.push({name:i.name,origin:"output",isSafe:!1})}if(i)return i.property&&this.getDependencies(i.property,t,n),i.xProperty&&this.getDependencies(i.xProperty,t,n),i.yProperty&&this.getDependencies(i.yProperty,t,n),i.zProperty&&this.getDependencies(i.zProperty,t,n),t;case"SequenceExpression":return this.getDependencies(e.expressions,t,n);default:throw this.astErrorOutput(`Unhandled type ${e.type} in getDependencies`,e)}return t}getVariableSignature(e,t){if(!this.isAstVariable(e))throw new Error(`ast of type "${e.type}" is not a variable signature`);if("Identifier"===e.type)return"value";const n=[];for(;e;)e.computed?n.push("[]"):"ThisExpression"===e.type?n.unshift("this"):e.property&&e.property.name?"x"===e.property.name||"y"===e.property.name||"z"===e.property.name?n.unshift(t?"."+e.property.name:".value"):"constants"===e.property.name||"thread"===e.property.name||"output"===e.property.name?n.unshift("."+e.property.name):n.unshift(t?"."+e.property.name:".value"):e.name?n.unshift(t?e.name:"value"):e.callee&&e.callee.name?n.unshift(t?e.callee.name+"()":"fn()"):e.elements?n.unshift("[]"):n.unshift("unknown"),e=e.object;const r=n.join("");if(t)return r;return["value","value[]","value[][]","value[][][]","value[][][][]","value.value","value.thread.value","this.thread.value","this.output.value","this.constants.value","this.constants.value[]","this.constants.value[][]","this.constants.value[][][]","this.constants.value[][][][]","fn()[]","fn()[][]","fn()[][][]","[][]"].indexOf(r)>-1?r:null}build(){return this.toString().length>0}astGeneric(e,t){if(null===e)throw this.astErrorOutput("NULL ast",e);if(Array.isArray(e)){for(let n=0;n0?r[r.length-1]:0;return new Error(`${e} on line ${r.length}, position ${s.length}:\n ${n}`)}astDebuggerStatement(e,t){return t}astConditionalExpression(e,t){if("ConditionalExpression"!==e.type)throw this.astErrorOutput("Not a conditional expression",e);return t.push("("),this.astGeneric(e.test,t),t.push("?"),this.astGeneric(e.consequent,t),t.push(":"),this.astGeneric(e.alternate,t),t.push(")"),t}astFunction(e,t){throw new Error(`"astFunction" not defined on ${this.constructor.name}`)}astFunctionDeclaration(e,t){return this.isChildFunction(e)?t:this.astFunction(e,t)}astFunctionExpression(e,t){return this.isChildFunction(e)?t:this.astFunction(e,t)}isChildFunction(e){for(let t=0;t1?t.push("(",r.join(","),")"):t.push(r[0]),t}astUnaryExpression(e,t){return this.checkAndUpconvertBitwiseUnary(e,t)||(e.prefix?(t.push(e.operator),this.astGeneric(e.argument,t)):(this.astGeneric(e.argument,t),t.push(e.operator))),t}checkAndUpconvertBitwiseUnary(e,t){}astUpdateExpression(e,t){return e.prefix?(t.push(e.operator),this.astGeneric(e.argument,t)):(this.astGeneric(e.argument,t),t.push(e.operator)),t}astLogicalExpression(e,t){return t.push("("),this.astGeneric(e.left,t),t.push(e.operator),this.astGeneric(e.right,t),t.push(")"),t}astMemberExpression(e,t){return t}astCallExpression(e,t){return t}astArrayExpression(e,t){return t}getMemberExpressionDetails(e){if("MemberExpression"!==e.type)throw this.astErrorOutput(`Expression ${e.type} not a MemberExpression`,e);let t=null,n=null;const r=this.getVariableSignature(e);switch(r){case"value":return null;case"value.thread.value":case"this.thread.value":case"this.output.value":return{signature:r,type:"Integer",name:e.property.name};case"value[]":if("string"!=typeof e.object.name)throw this.astErrorOutput("Unexpected expression",e);return t=e.object.name,{name:t,origin:"user",signature:r,type:this.getVariableType(e.object),xProperty:e.property};case"value[][]":if("string"!=typeof e.object.object.name)throw this.astErrorOutput("Unexpected expression",e);return t=e.object.object.name,{name:t,origin:"user",signature:r,type:this.getVariableType(e.object.object),yProperty:e.object.property,xProperty:e.property};case"value[][][]":if("string"!=typeof e.object.object.object.name)throw this.astErrorOutput("Unexpected expression",e);return t=e.object.object.object.name,{name:t,origin:"user",signature:r,type:this.getVariableType(e.object.object.object),zProperty:e.object.object.property,yProperty:e.object.property,xProperty:e.property};case"value[][][][]":if("string"!=typeof e.object.object.object.object.name)throw this.astErrorOutput("Unexpected expression",e);return t=e.object.object.object.object.name,{name:t,origin:"user",signature:r,type:this.getVariableType(e.object.object.object.object),zProperty:e.object.object.property,yProperty:e.object.property,xProperty:e.property};case"value.value":if("string"!=typeof e.property.name)throw this.astErrorOutput("Unexpected expression",e);if(this.isAstMathVariable(e))return t=e.property.name,{name:t,origin:"Math",type:"Number",signature:r};switch(e.property.name){case"r":case"g":case"b":case"a":return t=e.object.name,{name:t,property:e.property.name,origin:"user",signature:r,type:"Number"};default:throw this.astErrorOutput("Unexpected expression",e)}case"this.constants.value":if("string"!=typeof e.property.name)throw this.astErrorOutput("Unexpected expression",e);if(t=e.property.name,n=this.getConstantType(t),!n)throw this.astErrorOutput("Constant has no type",e);return{name:t,type:n,origin:"constants",signature:r};case"this.constants.value[]":if("string"!=typeof e.object.property.name)throw this.astErrorOutput("Unexpected expression",e);if(t=e.object.property.name,n=this.getConstantType(t),!n)throw this.astErrorOutput("Constant has no type",e);return{name:t,type:n,origin:"constants",signature:r,xProperty:e.property};case"this.constants.value[][]":if("string"!=typeof e.object.object.property.name)throw this.astErrorOutput("Unexpected expression",e);if(t=e.object.object.property.name,n=this.getConstantType(t),!n)throw this.astErrorOutput("Constant has no type",e);return{name:t,type:n,origin:"constants",signature:r,yProperty:e.object.property,xProperty:e.property};case"this.constants.value[][][]":if("string"!=typeof e.object.object.object.property.name)throw this.astErrorOutput("Unexpected expression",e);if(t=e.object.object.object.property.name,n=this.getConstantType(t),!n)throw this.astErrorOutput("Constant has no type",e);return{name:t,type:n,origin:"constants",signature:r,zProperty:e.object.object.property,yProperty:e.object.property,xProperty:e.property};case"fn()[]":case"fn()[][]":case"[][]":return{signature:r,property:e.property};default:throw this.astErrorOutput("Unexpected expression",e)}}findIdentifierOrigin(e){const t=[this.ast];for(;t.length>0;){const n=t[0];if("VariableDeclarator"===n.type&&n.id&&n.id.name&&n.id.name===e.name)return n;if(t.shift(),n.argument)t.push(n.argument);else if(n.body)t.push(n.body);else if(n.declarations)t.push(n.declarations);else if(Array.isArray(n))for(let e=0;e0;){const e=t.pop();if("ReturnStatement"===e.type)return e;if("FunctionDeclaration"!==e.type)if(e.argument)t.push(e.argument);else if(e.body)t.push(e.body);else if(e.declarations)t.push(e.declarations);else if(Array.isArray(e))for(let n=0;n0?e[e.length-1]:null}const s="trackIdentifiers",a="memberExpression",o="inForLoopInit";t.exports={FunctionTracer:class{constructor(e){this.runningContexts=[],this.functionContexts=[],this.contexts=[],this.functionCalls=[],this.declarations=[],this.identifiers=[],this.functions=[],this.returnStatements=[],this.trackedIdentifiers=null,this.states=[],this.newFunctionContext(),this.scan(e)}isState(e){return this.states[this.states.length-1]===e}hasState(e){return this.states.indexOf(e)>-1}pushState(e){this.states.push(e)}popState(e){if(!this.isState(e))throw new Error(`Cannot pop the non-active state "${e}"`);this.states.pop()}get currentFunctionContext(){return i(this.functionContexts)}get currentContext(){return i(this.runningContexts)}newFunctionContext(){const e={"@contextType":"function"};this.contexts.push(e),this.functionContexts.push(e)}newContext(e){const t=Object.assign({"@contextType":"const/let"},this.currentContext);this.contexts.push(t),this.runningContexts.push(t),e();const{currentFunctionContext:n}=this;for(const e in n)n.hasOwnProperty(e)&&!t.hasOwnProperty(e)&&(t[e]=n[e]);return this.runningContexts.pop(),t}useFunctionContext(e){const t=i(this.functionContexts);this.runningContexts.push(t),e(),this.runningContexts.pop()}getIdentifiers(e){const t=this.trackedIdentifiers=[];return this.pushState(s),e(),this.trackedIdentifiers=null,this.popState(s),t}getDeclaration(e){const{currentContext:t,currentFunctionContext:n,runningContexts:r}=this,i=t[e]||n[e]||null;if(!i&&t===n&&r.length>0){const t=r[r.length-2];if(t[e])return t[e]}return i}scan(e){if(e)if(Array.isArray(e))for(let t=0;t{this.scan(e.body)}));break;case"BlockStatement":this.newContext((()=>{this.scan(e.body)}));break;case"AssignmentExpression":case"LogicalExpression":case"BinaryExpression":this.scan(e.left),this.scan(e.right);break;case"UpdateExpression":if("++"===e.operator){const t=this.getDeclaration(e.argument.name);t&&(t.suggestedType="Integer")}this.scan(e.argument);break;case"UnaryExpression":this.scan(e.argument);break;case"VariableDeclaration":"var"===e.kind?this.useFunctionContext((()=>{e.declarations=r.normalizeDeclarations(e),this.scan(e.declarations)})):(e.declarations=r.normalizeDeclarations(e),this.scan(e.declarations));break;case"VariableDeclarator":{const{currentContext:t}=this,n=this.hasState(o),r={ast:e,context:t,name:e.id.name,origin:"declaration",inForLoopInit:n,inForLoopTest:null,assignable:t===this.currentFunctionContext||!n&&!t.hasOwnProperty(e.id.name),suggestedType:null,valueType:null,dependencies:null,isSafe:null};t[e.id.name]||(t[e.id.name]=r),this.declarations.push(r),this.scan(e.id),this.scan(e.init);break}case"FunctionExpression":case"FunctionDeclaration":0===this.runningContexts.length?this.scan(e.body):this.functions.push(e);break;case"IfStatement":this.scan(e.test),this.scan(e.consequent),e.alternate&&this.scan(e.alternate);break;case"ForStatement":{let t;const n=this.newContext((()=>{this.pushState(o),this.scan(e.init),this.popState(o),t=this.getIdentifiers((()=>{this.scan(e.test)})),this.scan(e.update),this.newContext((()=>{this.scan(e.body)}))}));if(t)for(const e in n)"@contextType"!==e&&t.indexOf(e)>-1&&(n[e].inForLoopTest=!0);break}case"DoWhileStatement":case"WhileStatement":this.newContext((()=>{this.scan(e.body),this.scan(e.test)}));break;case"Identifier":this.isState(s)&&this.trackedIdentifiers.push(e.name),this.identifiers.push({context:this.currentContext,declaration:this.getDeclaration(e.name),ast:e});break;case"ReturnStatement":this.returnStatements.push(e),this.scan(e.argument);break;case"MemberExpression":this.pushState(a),this.scan(e.object),this.scan(e.property),this.popState(a);break;case"ExpressionStatement":this.scan(e.expression);break;case"SequenceExpression":this.scan(e.expressions);break;case"CallExpression":this.functionCalls.push({context:this.currentContext,ast:e}),this.scan(e.arguments);break;case"ArrayExpression":this.scan(e.elements);break;case"ConditionalExpression":this.scan(e.test),this.scan(e.alternate),this.scan(e.consequent);break;case"SwitchStatement":this.scan(e.discriminant),this.scan(e.cases);break;case"SwitchCase":this.scan(e.test),this.scan(e.consequent);break;case"ThisExpression":case"Literal":case"DebuggerStatement":case"EmptyStatement":case"BreakStatement":case"ContinueStatement":break;default:throw new Error(`unhandled type "${e.type}"`)}}}}},{"../utils":114}],12:[function(e,t,n){const{glWiretap:r}=e("gl-wiretap"),{utils:i}=e("../../utils");function s(e){return e.toString().replace("=>","").replace(/^function /,"").replace(/utils[.]/g,"/*utils.*/")}function a(e,t){const n="single"===t.precision?e:`new Float32Array(${e}.buffer)`;return t.output[2]?`renderOutput(${n}, ${t.output[0]}, ${t.output[1]}, ${t.output[2]})`:t.output[1]?`renderOutput(${n}, ${t.output[0]}, ${t.output[1]})`:`renderOutput(${n}, ${t.output[0]})`}function o(e,t,n){const r=e.toArray.toString(),s=!/^function/.test(r);return`() => {\n function framebuffer() { return ${n}; };\n ${i.flattenFunctionToString(`${s?"function ":""}${r}`,{findDependency:(t,n)=>{if("utils"===t)return`const ${n} = ${i[n].toString()};`;if("this"===t)return"framebuffer"===n?"":`${s?"function ":""}${e[n].toString()}`;throw new Error("unhandled fromObject")},thisLookup:(n,r)=>{if("texture"===n)return t;if("context"===n)return r?null:"gl";if(e.hasOwnProperty(n))return JSON.stringify(e[n]);throw new Error(`unhandled thisLookup ${n}`)}})}\n return toArray();\n }`}function u(e,t,n,r,i){if(null===e)return null;if(null===t)return null;switch(typeof e){case"boolean":case"number":return null}if("undefined"!=typeof HTMLImageElement&&e instanceof HTMLImageElement)for(let i=0;i{switch(typeof e){case"boolean":return new Boolean(e);case"number":return new Number(e);default:return e}})):null;const c=[],p=[],d=r(n.context,{useTrackablePrimitives:!0,onReadPixels:e=>{if(N.subKernels){if(m){const t=N.subKernels[f++].property;p.push(` result${isNaN(t)?"."+t:`[${t}]`} = ${a(e,N)};`)}else p.push(` const result = { result: ${a(e,N)} };`),m=!0;f===N.subKernels.length&&p.push(" return result;")}else e?p.push(` return ${a(e,N)};`):p.push(" return null;")},onUnrecognizedArgumentLookup:e=>{const t=u(e,N.kernelArguments,[],d,c);if(t)return t;const n=u(e,N.kernelConstants,S?Object.keys(S).map((e=>S[e])):[],d,c);return n||null}});let m=!1,f=0;const{source:g,canvas:x,output:y,pipeline:b,graphical:T,loopMaxIterations:v,constants:S,optimizeFloatMemory:A,precision:_,fixIntegerDivisionAccuracy:E,functions:w,nativeFunctions:k,subKernels:I,immutable:D,argumentTypes:C,constantTypes:$,kernelArguments:L,kernelConstants:R,tactic:F}=n,N=new e(g,{canvas:x,context:d,checkContext:!1,output:y,pipeline:b,graphical:T,loopMaxIterations:v,constants:S,optimizeFloatMemory:A,precision:_,fixIntegerDivisionAccuracy:E,functions:w,nativeFunctions:k,subKernels:I,immutable:D,argumentTypes:C,constantTypes:$,tactic:F});let V=[];if(d.setIndent(2),N.build.apply(N,t),V.push(d.toString()),d.reset(),N.kernelArguments.forEach(((e,n)=>{switch(e.type){case"Integer":case"Boolean":case"Number":case"Float":case"Array":case"Array(2)":case"Array(3)":case"Array(4)":case"HTMLCanvas":case"HTMLImage":case"HTMLVideo":case"Input":d.insertVariable(`uploadValue_${e.name}`,e.uploadValue);break;case"HTMLImageArray":for(let r=0;re.varName)).join(", ")}) {`),d.setIndent(4),N.run.apply(N,t),N.renderKernels?N.renderKernels():N.renderOutput&&N.renderOutput(),V.push(" /** start setup uploads for kernel values **/"),N.kernelArguments.forEach((e=>{V.push(" "+e.getStringValueHandler().split("\n").join("\n "))})),V.push(" /** end setup uploads for kernel values **/"),V.push(d.toString()),N.renderOutput===N.renderTexture){d.reset();const e=d.getContextVariableName(N.framebuffer);if(N.renderKernels){const t=N.renderKernels(),n=d.getContextVariableName(N.texture.texture);V.push(` return {\n result: {\n texture: ${n},\n type: '${t.result.type}',\n toArray: ${o(t.result,n,e)}\n },`);const{subKernels:r,mappedTextures:i}=N;for(let n=0;n"utils"===e?`const ${t} = ${i[t].toString()};`:null,thisLookup:t=>{if("context"===t)return null;if(e.hasOwnProperty(t))return JSON.stringify(e[t]);throw new Error(`unhandled thisLookup ${t}`)}})}(N)),V.push(" innerKernel.getPixels = getPixels;")),V.push(" return innerKernel;");let M=[];return R.forEach((e=>{M.push(`${e.getStringValueHandler()}`)})),`function kernel(settings) {\n const { context, constants } = settings;\n ${M.join("")}\n ${l||""}\n${V.join("\n")}\n}`}}},{"../../utils":114,"gl-wiretap":3}],13:[function(e,t,n){const{Kernel:r}=e("../kernel"),{utils:i}=e("../../utils"),{GLTextureArray2Float:s}=e("./texture/array-2-float"),{GLTextureArray2Float2D:a}=e("./texture/array-2-float-2d"),{GLTextureArray2Float3D:o}=e("./texture/array-2-float-3d"),{GLTextureArray3Float:u}=e("./texture/array-3-float"),{GLTextureArray3Float2D:l}=e("./texture/array-3-float-2d"),{GLTextureArray3Float3D:h}=e("./texture/array-3-float-3d"),{GLTextureArray4Float:c}=e("./texture/array-4-float"),{GLTextureArray4Float2D:p}=e("./texture/array-4-float-2d"),{GLTextureArray4Float3D:d}=e("./texture/array-4-float-3d"),{GLTextureFloat:m}=e("./texture/float"),{GLTextureFloat2D:f}=e("./texture/float-2d"),{GLTextureFloat3D:g}=e("./texture/float-3d"),{GLTextureMemoryOptimized:x}=e("./texture/memory-optimized"),{GLTextureMemoryOptimized2D:y}=e("./texture/memory-optimized-2d"),{GLTextureMemoryOptimized3D:b}=e("./texture/memory-optimized-3d"),{GLTextureUnsigned:T}=e("./texture/unsigned"),{GLTextureUnsigned2D:v}=e("./texture/unsigned-2d"),{GLTextureUnsigned3D:S}=e("./texture/unsigned-3d"),{GLTextureGraphical:A}=e("./texture/graphical");const _={int:"Integer",float:"Number",vec2:"Array(2)",vec3:"Array(3)",vec4:"Array(4)"};t.exports={GLKernel:class extends r{static get mode(){return"gpu"}static getIsFloatRead(){const e=new this("function kernelFunction() {\n return 1;\n }",{context:this.testContext,canvas:this.testCanvas,validate:!1,output:[1],precision:"single",returnType:"Number",tactic:"speed"});e.build(),e.run();const t=e.renderOutput();return e.destroy(!0),1===t[0]}static getIsIntegerDivisionAccurate(){const e=new this(function(e,t){return e[this.thread.x]/t[this.thread.x]}.toString(),{context:this.testContext,canvas:this.testCanvas,validate:!1,output:[2],returnType:"Number",precision:"unsigned",tactic:"speed"}),t=[[6,6030401],[3,3991]];e.build.apply(e,t),e.run.apply(e,t);const n=e.renderOutput();return e.destroy(!0),2===n[0]&&1511===n[1]}static getIsSpeedTacticSupported(){const e=new this(function(e){return e[this.thread.x]}.toString(),{context:this.testContext,canvas:this.testCanvas,validate:!1,output:[4],returnType:"Number",precision:"unsigned",tactic:"speed"}),t=[[0,1,2,3]];e.build.apply(e,t),e.run.apply(e,t);const n=e.renderOutput();return e.destroy(!0),0===Math.round(n[0])&&1===Math.round(n[1])&&2===Math.round(n[2])&&3===Math.round(n[3])}static get testCanvas(){throw new Error(`"testCanvas" not defined on ${this.name}`)}static get testContext(){throw new Error(`"testContext" not defined on ${this.name}`)}static getFeatures(){const e=this.testContext,t=this.getIsDrawBuffers();return Object.freeze({isFloatRead:this.getIsFloatRead(),isIntegerDivisionAccurate:this.getIsIntegerDivisionAccurate(),isSpeedTacticSupported:this.getIsSpeedTacticSupported(),isTextureFloat:this.getIsTextureFloat(),isDrawBuffers:t,kernelMap:t,channelCount:this.getChannelCount(),maxTextureSize:this.getMaxTextureSize(),lowIntPrecision:e.getShaderPrecisionFormat(e.FRAGMENT_SHADER,e.LOW_INT),lowFloatPrecision:e.getShaderPrecisionFormat(e.FRAGMENT_SHADER,e.LOW_FLOAT),mediumIntPrecision:e.getShaderPrecisionFormat(e.FRAGMENT_SHADER,e.MEDIUM_INT),mediumFloatPrecision:e.getShaderPrecisionFormat(e.FRAGMENT_SHADER,e.MEDIUM_FLOAT),highIntPrecision:e.getShaderPrecisionFormat(e.FRAGMENT_SHADER,e.HIGH_INT),highFloatPrecision:e.getShaderPrecisionFormat(e.FRAGMENT_SHADER,e.HIGH_FLOAT)})}static setupFeatureChecks(){throw new Error(`"setupFeatureChecks" not defined on ${this.name}`)}static getSignature(e,t){return e.getVariablePrecisionString()+(t.length>0?":"+t.join(","):"")}setFixIntegerDivisionAccuracy(e){return this.fixIntegerDivisionAccuracy=e,this}setPrecision(e){return this.precision=e,this}setFloatTextures(e){return i.warnDeprecated("method","setFloatTextures","setOptimizeFloatMemory"),this.floatTextures=e,this}static nativeFunctionArguments(e){const t=[],n=[],r=[],i=/^[a-zA-Z_]/,s=/[a-zA-Z_0-9]/;let a=0,o=null,u=null;for(;a0?r[r.length-1]:null;if("FUNCTION_ARGUMENTS"!==c||"/"!==l||"*"!==h)if("MULTI_LINE_COMMENT"!==c||"*"!==l||"/"!==h)if("FUNCTION_ARGUMENTS"!==c||"/"!==l||"/"!==h)if("COMMENT"!==c||"\n"!==l)if(null!==c||"("!==l){if("FUNCTION_ARGUMENTS"===c){if(")"===l){r.pop();break}if("f"===l&&"l"===h&&"o"===e[a+2]&&"a"===e[a+3]&&"t"===e[a+4]&&" "===e[a+5]){r.push("DECLARE_VARIABLE"),u="float",o="",a+=6;continue}if("i"===l&&"n"===h&&"t"===e[a+2]&&" "===e[a+3]){r.push("DECLARE_VARIABLE"),u="int",o="",a+=4;continue}if("v"===l&&"e"===h&&"c"===e[a+2]&&"2"===e[a+3]&&" "===e[a+4]){r.push("DECLARE_VARIABLE"),u="vec2",o="",a+=5;continue}if("v"===l&&"e"===h&&"c"===e[a+2]&&"3"===e[a+3]&&" "===e[a+4]){r.push("DECLARE_VARIABLE"),u="vec3",o="",a+=5;continue}if("v"===l&&"e"===h&&"c"===e[a+2]&&"4"===e[a+3]&&" "===e[a+4]){r.push("DECLARE_VARIABLE"),u="vec4",o="",a+=5;continue}}else if("DECLARE_VARIABLE"===c){if(""===o){if(" "===l){a++;continue}if(!i.test(l))throw new Error("variable name is not expected string")}o+=l,s.test(h)||(r.pop(),n.push(o),t.push(_[u]))}a++}else r.push("FUNCTION_ARGUMENTS"),a++;else r.pop(),a++;else r.push("COMMENT"),a+=2;else r.pop(),a+=2;else r.push("MULTI_LINE_COMMENT"),a+=2}if(r.length>0)throw new Error("GLSL function was not parsable");return{argumentNames:n,argumentTypes:t}}static nativeFunctionReturnType(e){return _[e.match(/int|float|vec[2-4]/)[0]]}static combineKernels(e,t){e.apply(null,arguments);const{texSize:n,context:r,threadDim:s}=t.texSize;let a;if("single"===t.precision){const e=n[0],t=Math.ceil(n[1]/4);a=new Float32Array(e*t*4*4),r.readPixels(0,0,e,4*t,r.RGBA,r.FLOAT,a)}else{const e=new Uint8Array(n[0]*n[1]*4);r.readPixels(0,0,n[0],n[1],r.RGBA,r.UNSIGNED_BYTE,e),a=new Float32Array(e.buffer)}if(a=a.subarray(0,s[0]*s[1]*s[2]),1===t.output.length)return a;if(2===t.output.length)return i.splitArray(a,t.output[0]);if(3===t.output.length){return i.splitArray(a,t.output[0]*t.output[1]).map((function(e){return i.splitArray(e,t.output[0])}))}}constructor(e,t){super(e,t),this.transferValues=null,this.formatValues=null,this.TextureConstructor=null,this.renderOutput=null,this.renderRawOutput=null,this.texSize=null,this.translatedSource=null,this.compiledFragmentShader=null,this.compiledVertexShader=null,this.switchingKernels=null,this._textureSwitched=null,this._mappedTextureSwitched=null}checkTextureSize(){const{features:e}=this.constructor;if(this.texSize[0]>e.maxTextureSize||this.texSize[1]>e.maxTextureSize)throw new Error(`Texture size [${this.texSize[0]},${this.texSize[1]}] generated by kernel is larger than supported size [${e.maxTextureSize},${e.maxTextureSize}]`)}translateSource(){throw new Error(`"translateSource" not defined on ${this.constructor.name}`)}pickRenderStrategy(e){if(this.graphical)return this.renderRawOutput=this.readPackedPixelsToUint8Array,this.transferValues=e=>e,this.TextureConstructor=A,null;if("unsigned"===this.precision)if(this.renderRawOutput=this.readPackedPixelsToUint8Array,this.transferValues=this.readPackedPixelsToFloat32Array,this.pipeline)switch(this.renderOutput=this.renderTexture,null!==this.subKernels&&(this.renderKernels=this.renderKernelsToTextures),this.returnType){case"LiteralInteger":case"Float":case"Number":case"Integer":return this.output[2]>0?(this.TextureConstructor=S,null):this.output[1]>0?(this.TextureConstructor=v,null):(this.TextureConstructor=T,null);case"Array(2)":case"Array(3)":case"Array(4)":return this.requestFallback(e)}else switch(null!==this.subKernels&&(this.renderKernels=this.renderKernelsToArrays),this.returnType){case"LiteralInteger":case"Float":case"Number":case"Integer":return this.renderOutput=this.renderValues,this.output[2]>0?(this.TextureConstructor=S,this.formatValues=i.erect3DPackedFloat,null):this.output[1]>0?(this.TextureConstructor=v,this.formatValues=i.erect2DPackedFloat,null):(this.TextureConstructor=T,this.formatValues=i.erectPackedFloat,null);case"Array(2)":case"Array(3)":case"Array(4)":return this.requestFallback(e)}else{if("single"!==this.precision)throw new Error(`unhandled precision of "${this.precision}"`);if(this.renderRawOutput=this.readFloatPixelsToFloat32Array,this.transferValues=this.readFloatPixelsToFloat32Array,this.pipeline)switch(this.renderOutput=this.renderTexture,null!==this.subKernels&&(this.renderKernels=this.renderKernelsToTextures),this.returnType){case"LiteralInteger":case"Float":case"Number":case"Integer":return this.optimizeFloatMemory?this.output[2]>0?(this.TextureConstructor=b,null):this.output[1]>0?(this.TextureConstructor=y,null):(this.TextureConstructor=x,null):this.output[2]>0?(this.TextureConstructor=g,null):this.output[1]>0?(this.TextureConstructor=f,null):(this.TextureConstructor=m,null);case"Array(2)":return this.output[2]>0?(this.TextureConstructor=o,null):this.output[1]>0?(this.TextureConstructor=a,null):(this.TextureConstructor=s,null);case"Array(3)":return this.output[2]>0?(this.TextureConstructor=h,null):this.output[1]>0?(this.TextureConstructor=l,null):(this.TextureConstructor=u,null);case"Array(4)":return this.output[2]>0?(this.TextureConstructor=d,null):this.output[1]>0?(this.TextureConstructor=p,null):(this.TextureConstructor=c,null)}if(this.renderOutput=this.renderValues,null!==this.subKernels&&(this.renderKernels=this.renderKernelsToArrays),this.optimizeFloatMemory)switch(this.returnType){case"LiteralInteger":case"Float":case"Number":case"Integer":return this.output[2]>0?(this.TextureConstructor=b,this.formatValues=i.erectMemoryOptimized3DFloat,null):this.output[1]>0?(this.TextureConstructor=y,this.formatValues=i.erectMemoryOptimized2DFloat,null):(this.TextureConstructor=x,this.formatValues=i.erectMemoryOptimizedFloat,null);case"Array(2)":return this.output[2]>0?(this.TextureConstructor=o,this.formatValues=i.erect3DArray2,null):this.output[1]>0?(this.TextureConstructor=a,this.formatValues=i.erect2DArray2,null):(this.TextureConstructor=s,this.formatValues=i.erectArray2,null);case"Array(3)":return this.output[2]>0?(this.TextureConstructor=h,this.formatValues=i.erect3DArray3,null):this.output[1]>0?(this.TextureConstructor=l,this.formatValues=i.erect2DArray3,null):(this.TextureConstructor=u,this.formatValues=i.erectArray3,null);case"Array(4)":return this.output[2]>0?(this.TextureConstructor=d,this.formatValues=i.erect3DArray4,null):this.output[1]>0?(this.TextureConstructor=p,this.formatValues=i.erect2DArray4,null):(this.TextureConstructor=c,this.formatValues=i.erectArray4,null)}else switch(this.returnType){case"LiteralInteger":case"Float":case"Number":case"Integer":return this.output[2]>0?(this.TextureConstructor=g,this.formatValues=i.erect3DFloat,null):this.output[1]>0?(this.TextureConstructor=f,this.formatValues=i.erect2DFloat,null):(this.TextureConstructor=m,this.formatValues=i.erectFloat,null);case"Array(2)":return this.output[2]>0?(this.TextureConstructor=o,this.formatValues=i.erect3DArray2,null):this.output[1]>0?(this.TextureConstructor=a,this.formatValues=i.erect2DArray2,null):(this.TextureConstructor=s,this.formatValues=i.erectArray2,null);case"Array(3)":return this.output[2]>0?(this.TextureConstructor=h,this.formatValues=i.erect3DArray3,null):this.output[1]>0?(this.TextureConstructor=l,this.formatValues=i.erect2DArray3,null):(this.TextureConstructor=u,this.formatValues=i.erectArray3,null);case"Array(4)":return this.output[2]>0?(this.TextureConstructor=d,this.formatValues=i.erect3DArray4,null):this.output[1]>0?(this.TextureConstructor=p,this.formatValues=i.erect2DArray4,null):(this.TextureConstructor=c,this.formatValues=i.erectArray4,null)}}throw new Error(`unhandled return type "${this.returnType}"`)}getKernelString(){throw new Error("abstract method call")}getMainResultTexture(){switch(this.returnType){case"LiteralInteger":case"Float":case"Integer":case"Number":return this.getMainResultNumberTexture();case"Array(2)":return this.getMainResultArray2Texture();case"Array(3)":return this.getMainResultArray3Texture();case"Array(4)":return this.getMainResultArray4Texture();default:throw new Error(`unhandled returnType type ${this.returnType}`)}}getMainResultKernelNumberTexture(){throw new Error("abstract method call")}getMainResultSubKernelNumberTexture(){throw new Error("abstract method call")}getMainResultKernelArray2Texture(){throw new Error("abstract method call")}getMainResultSubKernelArray2Texture(){throw new Error("abstract method call")}getMainResultKernelArray3Texture(){throw new Error("abstract method call")}getMainResultSubKernelArray3Texture(){throw new Error("abstract method call")}getMainResultKernelArray4Texture(){throw new Error("abstract method call")}getMainResultSubKernelArray4Texture(){throw new Error("abstract method call")}getMainResultGraphical(){throw new Error("abstract method call")}getMainResultMemoryOptimizedFloats(){throw new Error("abstract method call")}getMainResultPackedPixels(){throw new Error("abstract method call")}getMainResultString(){return this.graphical?this.getMainResultGraphical():"single"===this.precision?this.optimizeFloatMemory?this.getMainResultMemoryOptimizedFloats():this.getMainResultTexture():this.getMainResultPackedPixels()}getMainResultNumberTexture(){return i.linesToString(this.getMainResultKernelNumberTexture())+i.linesToString(this.getMainResultSubKernelNumberTexture())}getMainResultArray2Texture(){return i.linesToString(this.getMainResultKernelArray2Texture())+i.linesToString(this.getMainResultSubKernelArray2Texture())}getMainResultArray3Texture(){return i.linesToString(this.getMainResultKernelArray3Texture())+i.linesToString(this.getMainResultSubKernelArray3Texture())}getMainResultArray4Texture(){return i.linesToString(this.getMainResultKernelArray4Texture())+i.linesToString(this.getMainResultSubKernelArray4Texture())}getFloatTacticDeclaration(){return`precision ${this.getVariablePrecisionString(this.texSize,this.tactic)} float;\n`}getIntTacticDeclaration(){return`precision ${this.getVariablePrecisionString(this.texSize,this.tactic,!0)} int;\n`}getSampler2DTacticDeclaration(){return`precision ${this.getVariablePrecisionString(this.texSize,this.tactic)} sampler2D;\n`}getSampler2DArrayTacticDeclaration(){return`precision ${this.getVariablePrecisionString(this.texSize,this.tactic)} sampler2DArray;\n`}renderTexture(){return this.immutable?this.texture.clone():this.texture}readPackedPixelsToUint8Array(){if("unsigned"!==this.precision)throw new Error('Requires this.precision to be "unsigned"');const{texSize:e,context:t}=this,n=new Uint8Array(e[0]*e[1]*4);return t.readPixels(0,0,e[0],e[1],t.RGBA,t.UNSIGNED_BYTE,n),n}readPackedPixelsToFloat32Array(){return new Float32Array(this.readPackedPixelsToUint8Array().buffer)}readFloatPixelsToFloat32Array(){if("single"!==this.precision)throw new Error('Requires this.precision to be "single"');const{texSize:e,context:t}=this,n=e[0],r=e[1],i=new Float32Array(n*r*4);return t.readPixels(0,0,n,r,t.RGBA,t.FLOAT,i),i}getPixels(e){const{context:t,output:n}=this,[r,s]=n,a=new Uint8Array(r*s*4);return t.readPixels(0,0,r,s,t.RGBA,t.UNSIGNED_BYTE,a),new Uint8ClampedArray((e?a:i.flipPixels(a,r,s)).buffer)}renderKernelsToArrays(){const e={result:this.renderOutput()};for(let t=0;t0){for(let e=0;e0){const{mappedTextures:n}=this;for(let r=0;r1&&(this.newTexture(),!0)}cloneTexture(){this.texture._refs--;const{context:e,size:t,texture:n,kernel:r}=this;r.debug&&console.warn("cloning internal texture"),e.bindFramebuffer(e.FRAMEBUFFER,this.framebuffer()),i(e,n),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);const s=e.createTexture();i(e,s),e.texImage2D(e.TEXTURE_2D,0,this.internalFormat,t[0],t[1],0,this.textureFormat,this.textureType,null),e.copyTexSubImage2D(e.TEXTURE_2D,0,0,0,0,0,t[0],t[1]),s._refs=1,this.texture=s}newTexture(){this.texture._refs--;const e=this.context,t=this.size;this.kernel.debug&&console.warn("new internal texture");const n=e.createTexture();i(e,n),e.texImage2D(e.TEXTURE_2D,0,this.internalFormat,t[0],t[1],0,this.textureFormat,this.textureType,null),n._refs=1,this.texture=n}clear(){if(this.texture._refs){this.texture._refs--;const e=this.context,t=this.texture=e.createTexture();i(e,t);const n=this.size;t._refs=1,e.texImage2D(e.TEXTURE_2D,0,this.internalFormat,n[0],n[1],0,this.textureFormat,this.textureType,null)}const{context:e,texture:t}=this;e.bindFramebuffer(e.FRAMEBUFFER,this.framebuffer()),e.bindTexture(e.TEXTURE_2D,t),i(e,t),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),e.clearColor(0,0,0,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT)}delete(){this._deleted||(this._deleted=!0,this.texture._refs&&(this.texture._refs--,this.texture._refs)||this.context.deleteTexture(this.texture))}framebuffer(){return this._framebuffer||(this._framebuffer=this.kernel.getRawValueFramebuffer(this.size[0],this.size[1])),this._framebuffer}}}},{"../../../texture":113}],28:[function(e,t,n){const{utils:r}=e("../../../utils"),{GLTextureFloat:i}=e("./float");t.exports={GLTextureMemoryOptimized2D:class extends i{constructor(e){super(e),this.type="MemoryOptimizedNumberTexture"}toArray(){return r.erectMemoryOptimized2DFloat(this.renderValues(),this.output[0],this.output[1])}}}},{"../../../utils":114,"./float":25}],29:[function(e,t,n){const{utils:r}=e("../../../utils"),{GLTextureFloat:i}=e("./float");t.exports={GLTextureMemoryOptimized3D:class extends i{constructor(e){super(e),this.type="MemoryOptimizedNumberTexture"}toArray(){return r.erectMemoryOptimized3DFloat(this.renderValues(),this.output[0],this.output[1],this.output[2])}}}},{"../../../utils":114,"./float":25}],30:[function(e,t,n){const{utils:r}=e("../../../utils"),{GLTextureFloat:i}=e("./float");t.exports={GLTextureMemoryOptimized:class extends i{constructor(e){super(e),this.type="MemoryOptimizedNumberTexture"}toArray(){return r.erectMemoryOptimizedFloat(this.renderValues(),this.output[0])}}}},{"../../../utils":114,"./float":25}],31:[function(e,t,n){const{utils:r}=e("../../../utils"),{GLTextureUnsigned:i}=e("./unsigned");t.exports={GLTextureUnsigned2D:class extends i{constructor(e){super(e),this.type="NumberTexture"}toArray(){return r.erect2DPackedFloat(this.renderValues(),this.output[0],this.output[1])}}}},{"../../../utils":114,"./unsigned":33}],32:[function(e,t,n){const{utils:r}=e("../../../utils"),{GLTextureUnsigned:i}=e("./unsigned");t.exports={GLTextureUnsigned3D:class extends i{constructor(e){super(e),this.type="NumberTexture"}toArray(){return r.erect3DPackedFloat(this.renderValues(),this.output[0],this.output[1],this.output[2])}}}},{"../../../utils":114,"./unsigned":33}],33:[function(e,t,n){const{utils:r}=e("../../../utils"),{GLTexture:i}=e("./index");t.exports={GLTextureUnsigned:class extends i{get textureType(){return this.context.UNSIGNED_BYTE}constructor(e){super(e),this.type="NumberTexture"}renderRawOutput(){const{context:e}=this;e.bindFramebuffer(e.FRAMEBUFFER,this.framebuffer()),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,this.texture,0);const t=new Uint8Array(this.size[0]*this.size[1]*4);return e.readPixels(0,0,this.size[0],this.size[1],e.RGBA,e.UNSIGNED_BYTE,t),t}renderValues(){return this._deleted?null:new Float32Array(this.renderRawOutput().buffer)}toArray(){return r.erectPackedFloat(this.renderValues(),this.output[0])}}}},{"../../../utils":114,"./index":27}],34:[function(e,t,n){const r=e("gl"),{WebGLKernel:i}=e("../web-gl/kernel"),{glKernelString:s}=e("../gl/kernel-string");let a=null,o=null,u=null,l=null,h=null;t.exports={HeadlessGLKernel:class extends i{static get isSupported(){return null!==a||(this.setupFeatureChecks(),a=null!==u),a}static setupFeatureChecks(){if(o=null,l=null,"function"==typeof r)try{if(u=r(2,2,{preserveDrawingBuffer:!0}),!u||!u.getExtension)return;l={STACKGL_resize_drawingbuffer:u.getExtension("STACKGL_resize_drawingbuffer"),STACKGL_destroy_context:u.getExtension("STACKGL_destroy_context"),OES_texture_float:u.getExtension("OES_texture_float"),OES_texture_float_linear:u.getExtension("OES_texture_float_linear"),OES_element_index_uint:u.getExtension("OES_element_index_uint"),WEBGL_draw_buffers:u.getExtension("WEBGL_draw_buffers"),WEBGL_color_buffer_float:u.getExtension("WEBGL_color_buffer_float")},h=this.getFeatures()}catch(e){console.warn(e)}}static isContextMatch(e){try{return"ANGLE"===e.getParameter(e.RENDERER)}catch(e){return!1}}static getIsTextureFloat(){return Boolean(l.OES_texture_float)}static getIsDrawBuffers(){return Boolean(l.WEBGL_draw_buffers)}static getChannelCount(){return l.WEBGL_draw_buffers?u.getParameter(l.WEBGL_draw_buffers.MAX_DRAW_BUFFERS_WEBGL):1}static getMaxTextureSize(){return u.getParameter(u.MAX_TEXTURE_SIZE)}static get testCanvas(){return o}static get testContext(){return u}static get features(){return h}initCanvas(){return{}}initContext(){return r(2,2,{preserveDrawingBuffer:!0})}initExtensions(){this.extensions={STACKGL_resize_drawingbuffer:this.context.getExtension("STACKGL_resize_drawingbuffer"),STACKGL_destroy_context:this.context.getExtension("STACKGL_destroy_context"),OES_texture_float:this.context.getExtension("OES_texture_float"),OES_texture_float_linear:this.context.getExtension("OES_texture_float_linear"),OES_element_index_uint:this.context.getExtension("OES_element_index_uint"),WEBGL_draw_buffers:this.context.getExtension("WEBGL_draw_buffers")}}build(){super.build.apply(this,arguments),this.fallbackRequested||this.extensions.STACKGL_resize_drawingbuffer.resize(this.maxTexSize[0],this.maxTexSize[1])}destroyExtensions(){this.extensions.STACKGL_resize_drawingbuffer=null,this.extensions.STACKGL_destroy_context=null,this.extensions.OES_texture_float=null,this.extensions.OES_texture_float_linear=null,this.extensions.OES_element_index_uint=null,this.extensions.WEBGL_draw_buffers=null}static destroyContext(e){const t=e.getExtension("STACKGL_destroy_context");t&&t.destroy&&t.destroy()}toString(){return s(this.constructor,arguments,this,"const gl = context || require('gl')(1, 1);\n"," if (!context) { gl.getExtension('STACKGL_destroy_context').destroy(); }\n")}setOutput(e){return super.setOutput(e),this.graphical&&this.extensions.STACKGL_resize_drawingbuffer&&this.extensions.STACKGL_resize_drawingbuffer.resize(this.maxTexSize[0],this.maxTexSize[1]),this}}}},{"../gl/kernel-string":12,"../web-gl/kernel":70,gl:2}],35:[function(e,t,n){t.exports={KernelValue:class{constructor(e,t){const{name:n,kernel:r,context:i,checkContext:s,onRequestContextHandle:a,onUpdateValueMismatch:o,origin:u,strictIntegers:l,type:h,tactic:c}=t;if(!n)throw new Error("name not set");if(!h)throw new Error("type not set");if(!u)throw new Error("origin not set");if("user"!==u&&"constants"!==u)throw new Error(`origin must be "user" or "constants" value is "${u}"`);if(!a)throw new Error("onRequestContextHandle is not set");this.name=n,this.origin=u,this.tactic=c,this.varName="constants"===u?`constants.${n}`:n,this.kernel=r,this.strictIntegers=l,this.type=e.type||h,this.size=e.size||null,this.index=null,this.context=i,this.checkContext=null==s||s,this.contextHandle=null,this.onRequestContextHandle=a,this.onUpdateValueMismatch=o,this.forceUploadEachRun=null}get id(){return`${this.origin}_${name}`}getSource(){throw new Error(`"getSource" not defined on ${this.constructor.name}`)}updateValue(e){throw new Error(`"updateValue" not defined on ${this.constructor.name}`)}}}},{}],36:[function(e,t,n){const{utils:r}=e("../utils"),{Input:i}=e("../input");t.exports={Kernel:class{static get isSupported(){throw new Error(`"isSupported" not implemented on ${this.name}`)}static isContextMatch(e){throw new Error(`"isContextMatch" not implemented on ${this.name}`)}static getFeatures(){throw new Error(`"getFeatures" not implemented on ${this.name}`)}static destroyContext(e){throw new Error(`"destroyContext" called on ${this.name}`)}static nativeFunctionArguments(){throw new Error(`"nativeFunctionArguments" called on ${this.name}`)}static nativeFunctionReturnType(){throw new Error(`"nativeFunctionReturnType" called on ${this.name}`)}static combineKernels(){throw new Error(`"combineKernels" called on ${this.name}`)}constructor(e,t){if("object"!=typeof e){if("string"!=typeof e)throw new Error("source not a string");if(!r.isFunctionString(e))throw new Error("source not a function string")}this.useLegacyEncoder=!1,this.fallbackRequested=!1,this.onRequestFallback=null,this.argumentNames="string"==typeof e?r.getArgumentNamesFromString(e):null,this.argumentTypes=null,this.argumentSizes=null,this.argumentBitRatios=null,this.kernelArguments=null,this.kernelConstants=null,this.forceUploadKernelConstants=null,this.source=e,this.output=null,this.debug=!1,this.graphical=!1,this.loopMaxIterations=0,this.constants=null,this.constantTypes=null,this.constantBitRatios=null,this.dynamicArguments=!1,this.dynamicOutput=!1,this.canvas=null,this.context=null,this.checkContext=null,this.gpu=null,this.functions=null,this.nativeFunctions=null,this.injectedNative=null,this.subKernels=null,this.validate=!0,this.immutable=!1,this.pipeline=!1,this.precision=null,this.tactic=null,this.plugins=null,this.returnType=null,this.leadingReturnStatement=null,this.followingReturnStatement=null,this.optimizeFloatMemory=null,this.strictIntegers=!1,this.fixIntegerDivisionAccuracy=null,this.built=!1,this.signature=null}mergeSettings(e){for(let t in e)if(e.hasOwnProperty(t)&&this.hasOwnProperty(t)){switch(t){case"output":if(!Array.isArray(e.output)){this.setOutput(e.output);continue}break;case"functions":this.functions=[];for(let t=0;te.name)):null,returnType:this.returnType}}}buildSignature(e){const t=this.constructor;this.signature=t.getSignature(this,t.getArgumentTypes(this,e))}static getArgumentTypes(e,t){const n=new Array(t.length);for(let i=0;it.argumentTypes[e]))||[]:t.argumentTypes||[],{name:r.getFunctionNameFromString(n)||null,source:n,argumentTypes:i,returnType:t.returnType||null}}onActivate(e){}}}},{"../input":110,"../utils":114}],37:[function(e,t,n){const r=`__HEADER__;\n__FLOAT_TACTIC_DECLARATION__;\n__INT_TACTIC_DECLARATION__;\n__SAMPLER_2D_TACTIC_DECLARATION__;\n\nconst int LOOP_MAX = __LOOP_MAX__;\n\n__PLUGINS__;\n__CONSTANTS__;\n\nvarying vec2 vTexCoord;\n\nfloat acosh(float x) {\n return log(x + sqrt(x * x - 1.0));\n}\n\nfloat sinh(float x) {\n return (pow(${Math.E}, x) - pow(${Math.E}, -x)) / 2.0;\n}\n\nfloat asinh(float x) {\n return log(x + sqrt(x * x + 1.0));\n}\n\nfloat atan2(float v1, float v2) {\n if (v1 == 0.0 || v2 == 0.0) return 0.0;\n return atan(v1 / v2);\n}\n\nfloat atanh(float x) {\n x = (x + 1.0) / (x - 1.0);\n if (x < 0.0) {\n return 0.5 * log(-x);\n }\n return 0.5 * log(x);\n}\n\nfloat cbrt(float x) {\n if (x >= 0.0) {\n return pow(x, 1.0 / 3.0);\n } else {\n return -pow(x, 1.0 / 3.0);\n }\n}\n\nfloat cosh(float x) {\n return (pow(${Math.E}, x) + pow(${Math.E}, -x)) / 2.0; \n}\n\nfloat expm1(float x) {\n return pow(${Math.E}, x) - 1.0; \n}\n\nfloat fround(highp float x) {\n return x;\n}\n\nfloat imul(float v1, float v2) {\n return float(int(v1) * int(v2));\n}\n\nfloat log10(float x) {\n return log2(x) * (1.0 / log2(10.0));\n}\n\nfloat log1p(float x) {\n return log(1.0 + x);\n}\n\nfloat _pow(float v1, float v2) {\n if (v2 == 0.0) return 1.0;\n return pow(v1, v2);\n}\n\nfloat tanh(float x) {\n float e = exp(2.0 * x);\n return (e - 1.0) / (e + 1.0);\n}\n\nfloat trunc(float x) {\n if (x >= 0.0) {\n return floor(x); \n } else {\n return ceil(x);\n }\n}\n\nvec4 _round(vec4 x) {\n return floor(x + 0.5);\n}\n\nfloat _round(float x) {\n return floor(x + 0.5);\n}\n\nconst int BIT_COUNT = 32;\nint modi(int x, int y) {\n return x - y * (x / y);\n}\n\nint bitwiseOr(int a, int b) {\n int result = 0;\n int n = 1;\n \n for (int i = 0; i < BIT_COUNT; i++) {\n if ((modi(a, 2) == 1) || (modi(b, 2) == 1)) {\n result += n;\n }\n a = a / 2;\n b = b / 2;\n n = n * 2;\n if(!(a > 0 || b > 0)) {\n break;\n }\n }\n return result;\n}\nint bitwiseXOR(int a, int b) {\n int result = 0;\n int n = 1;\n \n for (int i = 0; i < BIT_COUNT; i++) {\n if ((modi(a, 2) == 1) != (modi(b, 2) == 1)) {\n result += n;\n }\n a = a / 2;\n b = b / 2;\n n = n * 2;\n if(!(a > 0 || b > 0)) {\n break;\n }\n }\n return result;\n}\nint bitwiseAnd(int a, int b) {\n int result = 0;\n int n = 1;\n for (int i = 0; i < BIT_COUNT; i++) {\n if ((modi(a, 2) == 1) && (modi(b, 2) == 1)) {\n result += n;\n }\n a = a / 2;\n b = b / 2;\n n = n * 2;\n if(!(a > 0 && b > 0)) {\n break;\n }\n }\n return result;\n}\nint bitwiseNot(int a) {\n int result = 0;\n int n = 1;\n \n for (int i = 0; i < BIT_COUNT; i++) {\n if (modi(a, 2) == 0) {\n result += n; \n }\n a = a / 2;\n n = n * 2;\n }\n return result;\n}\nint bitwiseZeroFillLeftShift(int n, int shift) {\n int maxBytes = BIT_COUNT;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (maxBytes >= n) {\n break;\n }\n maxBytes *= 2;\n }\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= shift) {\n break;\n }\n n *= 2;\n }\n\n int result = 0;\n int byteVal = 1;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= maxBytes) break;\n if (modi(n, 2) > 0) { result += byteVal; }\n n = int(n / 2);\n byteVal *= 2;\n }\n return result;\n}\n\nint bitwiseSignedRightShift(int num, int shifts) {\n return int(floor(float(num) / pow(2.0, float(shifts))));\n}\n\nint bitwiseZeroFillRightShift(int n, int shift) {\n int maxBytes = BIT_COUNT;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (maxBytes >= n) {\n break;\n }\n maxBytes *= 2;\n }\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= shift) {\n break;\n }\n n /= 2;\n }\n int result = 0;\n int byteVal = 1;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= maxBytes) break;\n if (modi(n, 2) > 0) { result += byteVal; }\n n = int(n / 2);\n byteVal *= 2;\n }\n return result;\n}\n\nvec2 integerMod(vec2 x, float y) {\n vec2 res = floor(mod(x, y));\n return res * step(1.0 - floor(y), -res);\n}\n\nvec3 integerMod(vec3 x, float y) {\n vec3 res = floor(mod(x, y));\n return res * step(1.0 - floor(y), -res);\n}\n\nvec4 integerMod(vec4 x, vec4 y) {\n vec4 res = floor(mod(x, y));\n return res * step(1.0 - floor(y), -res);\n}\n\nfloat integerMod(float x, float y) {\n float res = floor(mod(x, y));\n return res * (res > floor(y) - 1.0 ? 0.0 : 1.0);\n}\n\nint integerMod(int x, int y) {\n return x - (y * int(x / y));\n}\n\n__DIVIDE_WITH_INTEGER_CHECK__;\n\n// Here be dragons!\n// DO NOT OPTIMIZE THIS CODE\n// YOU WILL BREAK SOMETHING ON SOMEBODY'S MACHINE\n// LEAVE IT AS IT IS, LEST YOU WASTE YOUR OWN TIME\nconst vec2 MAGIC_VEC = vec2(1.0, -256.0);\nconst vec4 SCALE_FACTOR = vec4(1.0, 256.0, 65536.0, 0.0);\nconst vec4 SCALE_FACTOR_INV = vec4(1.0, 0.00390625, 0.0000152587890625, 0.0); // 1, 1/256, 1/65536\nfloat decode32(vec4 texel) {\n __DECODE32_ENDIANNESS__;\n texel *= 255.0;\n vec2 gte128;\n gte128.x = texel.b >= 128.0 ? 1.0 : 0.0;\n gte128.y = texel.a >= 128.0 ? 1.0 : 0.0;\n float exponent = 2.0 * texel.a - 127.0 + dot(gte128, MAGIC_VEC);\n float res = exp2(_round(exponent));\n texel.b = texel.b - 128.0 * gte128.x;\n res = dot(texel, SCALE_FACTOR) * exp2(_round(exponent-23.0)) + res;\n res *= gte128.y * -2.0 + 1.0;\n return res;\n}\n\nfloat decode16(vec4 texel, int index) {\n int channel = integerMod(index, 2);\n if (channel == 0) return texel.r * 255.0 + texel.g * 65280.0;\n if (channel == 1) return texel.b * 255.0 + texel.a * 65280.0;\n return 0.0;\n}\n\nfloat decode8(vec4 texel, int index) {\n int channel = integerMod(index, 4);\n if (channel == 0) return texel.r * 255.0;\n if (channel == 1) return texel.g * 255.0;\n if (channel == 2) return texel.b * 255.0;\n if (channel == 3) return texel.a * 255.0;\n return 0.0;\n}\n\nvec4 legacyEncode32(float f) {\n float F = abs(f);\n float sign = f < 0.0 ? 1.0 : 0.0;\n float exponent = floor(log2(F));\n float mantissa = (exp2(-exponent) * F);\n // exponent += floor(log2(mantissa));\n vec4 texel = vec4(F * exp2(23.0-exponent)) * SCALE_FACTOR_INV;\n texel.rg = integerMod(texel.rg, 256.0);\n texel.b = integerMod(texel.b, 128.0);\n texel.a = exponent*0.5 + 63.5;\n texel.ba += vec2(integerMod(exponent+127.0, 2.0), sign) * 128.0;\n texel = floor(texel);\n texel *= 0.003921569; // 1/255\n __ENCODE32_ENDIANNESS__;\n return texel;\n}\n\n// https://github.com/gpujs/gpu.js/wiki/Encoder-details\nvec4 encode32(float value) {\n if (value == 0.0) return vec4(0, 0, 0, 0);\n\n float exponent;\n float mantissa;\n vec4 result;\n float sgn;\n\n sgn = step(0.0, -value);\n value = abs(value);\n\n exponent = floor(log2(value));\n\n mantissa = value*pow(2.0, -exponent)-1.0;\n exponent = exponent+127.0;\n result = vec4(0,0,0,0);\n\n result.a = floor(exponent/2.0);\n exponent = exponent - result.a*2.0;\n result.a = result.a + 128.0*sgn;\n\n result.b = floor(mantissa * 128.0);\n mantissa = mantissa - result.b / 128.0;\n result.b = result.b + exponent*128.0;\n\n result.g = floor(mantissa*32768.0);\n mantissa = mantissa - result.g/32768.0;\n\n result.r = floor(mantissa*8388608.0);\n return result/255.0;\n}\n// Dragons end here\n\nint index;\nivec3 threadId;\n\nivec3 indexTo3D(int idx, ivec3 texDim) {\n int z = int(idx / (texDim.x * texDim.y));\n idx -= z * int(texDim.x * texDim.y);\n int y = int(idx / texDim.x);\n int x = int(integerMod(idx, texDim.x));\n return ivec3(x, y, z);\n}\n\nfloat get32(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture2D(tex, st / vec2(texSize));\n return decode32(texel);\n}\n\nfloat get16(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int w = texSize.x * 2;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture2D(tex, st / vec2(texSize.x * 2, texSize.y));\n return decode16(texel, index);\n}\n\nfloat get8(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int w = texSize.x * 4;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture2D(tex, st / vec2(texSize.x * 4, texSize.y));\n return decode8(texel, index);\n}\n\nfloat getMemoryOptimized32(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int channel = integerMod(index, 4);\n index = index / 4;\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture2D(tex, st / vec2(texSize));\n if (channel == 0) return texel.r;\n if (channel == 1) return texel.g;\n if (channel == 2) return texel.b;\n if (channel == 3) return texel.a;\n return 0.0;\n}\n\nvec4 getImage2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n return texture2D(tex, st / vec2(texSize));\n}\n\nfloat getFloatFromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n vec4 result = getImage2D(tex, texSize, texDim, z, y, x);\n return result[0];\n}\n\nvec2 getVec2FromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n vec4 result = getImage2D(tex, texSize, texDim, z, y, x);\n return vec2(result[0], result[1]);\n}\n\nvec2 getMemoryOptimizedVec2(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + (texDim.x * (y + (texDim.y * z)));\n int channel = integerMod(index, 2);\n index = index / 2;\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture2D(tex, st / vec2(texSize));\n if (channel == 0) return vec2(texel.r, texel.g);\n if (channel == 1) return vec2(texel.b, texel.a);\n return vec2(0.0, 0.0);\n}\n\nvec3 getVec3FromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n vec4 result = getImage2D(tex, texSize, texDim, z, y, x);\n return vec3(result[0], result[1], result[2]);\n}\n\nvec3 getMemoryOptimizedVec3(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int fieldIndex = 3 * (x + texDim.x * (y + texDim.y * z));\n int vectorIndex = fieldIndex / 4;\n int vectorOffset = fieldIndex - vectorIndex * 4;\n int readY = vectorIndex / texSize.x;\n int readX = vectorIndex - readY * texSize.x;\n vec4 tex1 = texture2D(tex, (vec2(readX, readY) + 0.5) / vec2(texSize));\n \n if (vectorOffset == 0) {\n return tex1.xyz;\n } else if (vectorOffset == 1) {\n return tex1.yzw;\n } else {\n readX++;\n if (readX >= texSize.x) {\n readX = 0;\n readY++;\n }\n vec4 tex2 = texture2D(tex, vec2(readX, readY) / vec2(texSize));\n if (vectorOffset == 2) {\n return vec3(tex1.z, tex1.w, tex2.x);\n } else {\n return vec3(tex1.w, tex2.x, tex2.y);\n }\n }\n}\n\nvec4 getVec4FromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n return getImage2D(tex, texSize, texDim, z, y, x);\n}\n\nvec4 getMemoryOptimizedVec4(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int channel = integerMod(index, 2);\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture2D(tex, st / vec2(texSize));\n return vec4(texel.r, texel.g, texel.b, texel.a);\n}\n\nvec4 actualColor;\nvoid color(float r, float g, float b, float a) {\n actualColor = vec4(r,g,b,a);\n}\n\nvoid color(float r, float g, float b) {\n color(r,g,b,1.0);\n}\n\nvoid color(sampler2D image) {\n actualColor = texture2D(image, vTexCoord);\n}\n\nfloat modulo(float number, float divisor) {\n if (number < 0.0) {\n number = abs(number);\n if (divisor < 0.0) {\n divisor = abs(divisor);\n }\n return -mod(number, divisor);\n }\n if (divisor < 0.0) {\n divisor = abs(divisor);\n }\n return mod(number, divisor);\n}\n\n__INJECTED_NATIVE__;\n__MAIN_CONSTANTS__;\n__MAIN_ARGUMENTS__;\n__KERNEL__;\n\nvoid main(void) {\n index = int(vTexCoord.s * float(uTexSize.x)) + int(vTexCoord.t * float(uTexSize.y)) * uTexSize.x;\n __MAIN_RESULT__;\n}`;t.exports={fragmentShader:r}},{}],38:[function(e,t,n){const{utils:r}=e("../../utils"),{FunctionNode:i}=e("../function-node");const s={Array:"sampler2D","Array(2)":"vec2","Array(3)":"vec3","Array(4)":"vec4","Matrix(2)":"mat2","Matrix(3)":"mat3","Matrix(4)":"mat4",Array2D:"sampler2D",Array3D:"sampler2D",Boolean:"bool",Float:"float",Input:"sampler2D",Integer:"int",Number:"float",LiteralInteger:"float",NumberTexture:"sampler2D",MemoryOptimizedNumberTexture:"sampler2D","ArrayTexture(1)":"sampler2D","ArrayTexture(2)":"sampler2D","ArrayTexture(3)":"sampler2D","ArrayTexture(4)":"sampler2D",HTMLVideo:"sampler2D",HTMLCanvas:"sampler2D",OffscreenCanvas:"sampler2D",HTMLImage:"sampler2D",ImageBitmap:"sampler2D",ImageData:"sampler2D",HTMLImageArray:"sampler2DArray"},a={"===":"==","!==":"!="};t.exports={WebGLFunctionNode:class extends i{constructor(e,t){super(e,t),t&&t.hasOwnProperty("fixIntegerDivisionAccuracy")&&(this.fixIntegerDivisionAccuracy=t.fixIntegerDivisionAccuracy)}astConditionalExpression(e,t){if("ConditionalExpression"!==e.type)throw this.astErrorOutput("Not a conditional expression",e);const n=this.getType(e.consequent),r=this.getType(e.alternate);return null===n&&null===r?(t.push("if ("),this.astGeneric(e.test,t),t.push(") {"),this.astGeneric(e.consequent,t),t.push(";"),t.push("} else {"),this.astGeneric(e.alternate,t),t.push(";"),t.push("}"),t):(t.push("("),this.astGeneric(e.test,t),t.push("?"),this.astGeneric(e.consequent,t),t.push(":"),this.astGeneric(e.alternate,t),t.push(")"),t)}astFunction(e,t){if(this.isRootKernel)t.push("void");else{if(!this.returnType){this.findLastReturn()&&(this.returnType=this.getType(e.body),"LiteralInteger"===this.returnType&&(this.returnType="Number"))}const{returnType:n}=this;if(n){const e=s[n];if(!e)throw new Error(`unknown type ${n}`);t.push(e)}else t.push("void")}if(t.push(" "),t.push(this.name),t.push("("),!this.isRootKernel)for(let n=0;n0&&t.push(", ");let a=this.argumentTypes[this.argumentNames.indexOf(i)];if(!a)throw this.astErrorOutput(`Unknown argument ${i} type`,e);"LiteralInteger"===a&&(this.argumentTypes[n]=a="Number");const o=s[a];if(!o)throw this.astErrorOutput("Unexpected expression",e);const u=r.sanitizeName(i);"sampler2D"===o||"sampler2DArray"===o?t.push(`${o} user_${u},ivec2 user_${u}Size,ivec3 user_${u}Dim`):t.push(`${o} user_${u}`)}t.push(") {\n");for(let n=0;n"===e.operator||"<"===e.operator&&"Literal"===e.right.type)&&!Number.isInteger(e.right.value)){this.pushState("building-float"),this.castValueToFloat(e.left,t),t.push(a[e.operator]||e.operator),this.astGeneric(e.right,t),this.popState("building-float");break}if(this.pushState("building-integer"),this.astGeneric(e.left,t),t.push(a[e.operator]||e.operator),this.pushState("casting-to-integer"),"Literal"===e.right.type){const n=[];this.astGeneric(e.right,n);if("Integer"!==this.getType(e.right))throw this.astErrorOutput("Unhandled binary expression with literal",e);t.push(n.join(""))}else t.push("int("),this.astGeneric(e.right,t),t.push(")");this.popState("casting-to-integer"),this.popState("building-integer");break;case"Integer & LiteralInteger":this.pushState("building-integer"),this.astGeneric(e.left,t),t.push(a[e.operator]||e.operator),this.castLiteralToInteger(e.right,t),this.popState("building-integer");break;case"Number & Integer":case"Float & Integer":this.pushState("building-float"),this.astGeneric(e.left,t),t.push(a[e.operator]||e.operator),this.castValueToFloat(e.right,t),this.popState("building-float");break;case"Float & LiteralInteger":case"Number & LiteralInteger":this.pushState("building-float"),this.astGeneric(e.left,t),t.push(a[e.operator]||e.operator),this.castLiteralToFloat(e.right,t),this.popState("building-float");break;case"LiteralInteger & Float":case"LiteralInteger & Number":this.isState("casting-to-integer")?(this.pushState("building-integer"),this.castLiteralToInteger(e.left,t),t.push(a[e.operator]||e.operator),this.castValueToInteger(e.right,t),this.popState("building-integer")):(this.pushState("building-float"),this.astGeneric(e.left,t),t.push(a[e.operator]||e.operator),this.pushState("casting-to-float"),this.astGeneric(e.right,t),this.popState("casting-to-float"),this.popState("building-float"));break;case"LiteralInteger & Integer":this.pushState("building-integer"),this.castLiteralToInteger(e.left,t),t.push(a[e.operator]||e.operator),this.astGeneric(e.right,t),this.popState("building-integer");break;case"Boolean & Boolean":this.pushState("building-boolean"),this.astGeneric(e.left,t),t.push(a[e.operator]||e.operator),this.astGeneric(e.right,t),this.popState("building-boolean");break;default:throw this.astErrorOutput(`Unhandled binary expression between ${i}`,e)}return t.push(")"),t}checkAndUpconvertOperator(e,t){const n=this.checkAndUpconvertBitwiseOperators(e,t);if(n)return n;const r={"%":this.fixIntegerDivisionAccuracy?"integerCorrectionModulo":"modulo","**":"pow"}[e.operator];if(!r)return null;switch(t.push(r),t.push("("),this.getType(e.left)){case"Integer":this.castValueToFloat(e.left,t);break;case"LiteralInteger":this.castLiteralToFloat(e.left,t);break;default:this.astGeneric(e.left,t)}switch(t.push(","),this.getType(e.right)){case"Integer":this.castValueToFloat(e.right,t);break;case"LiteralInteger":this.castLiteralToFloat(e.right,t);break;default:this.astGeneric(e.right,t)}return t.push(")"),t}checkAndUpconvertBitwiseOperators(e,t){const n={"&":"bitwiseAnd","|":"bitwiseOr","^":"bitwiseXOR","<<":"bitwiseZeroFillLeftShift",">>":"bitwiseSignedRightShift",">>>":"bitwiseZeroFillRightShift"}[e.operator];if(!n)return null;t.push(n),t.push("(");switch(this.getType(e.left)){case"Number":case"Float":this.castValueToInteger(e.left,t);break;case"LiteralInteger":this.castLiteralToInteger(e.left,t);break;default:this.astGeneric(e.left,t)}t.push(",");switch(this.getType(e.right)){case"Number":case"Float":this.castValueToInteger(e.right,t);break;case"LiteralInteger":this.castLiteralToInteger(e.right,t);break;default:this.astGeneric(e.right,t)}return t.push(")"),t}checkAndUpconvertBitwiseUnary(e,t){const n={"~":"bitwiseNot"}[e.operator];if(!n)return null;switch(t.push(n),t.push("("),this.getType(e.argument)){case"Number":case"Float":this.castValueToInteger(e.argument,t);break;case"LiteralInteger":this.castLiteralToInteger(e.argument,t);break;default:this.astGeneric(e.argument,t)}return t.push(")"),t}castLiteralToInteger(e,t){return this.pushState("casting-to-integer"),this.astGeneric(e,t),this.popState("casting-to-integer"),t}castLiteralToFloat(e,t){return this.pushState("casting-to-float"),this.astGeneric(e,t),this.popState("casting-to-float"),t}castValueToInteger(e,t){return this.pushState("casting-to-integer"),t.push("int("),this.astGeneric(e,t),t.push(")"),this.popState("casting-to-integer"),t}castValueToFloat(e,t){return this.pushState("casting-to-float"),t.push("float("),this.astGeneric(e,t),t.push(")"),this.popState("casting-to-float"),t}astIdentifierExpression(e,t){if("Identifier"!==e.type)throw this.astErrorOutput("IdentifierExpression - not an Identifier",e);const n=this.getType(e),i=r.sanitizeName(e.name);return"Infinity"===e.name?t.push("3.402823466e+38"):"Boolean"===n&&this.argumentNames.indexOf(i)>-1?t.push(`bool(user_${i})`):t.push(`user_${i}`),t}astForStatement(e,t){if("ForStatement"!==e.type)throw this.astErrorOutput("Invalid for statement",e);const n=[],r=[],i=[],s=[];let a=null;if(e.init){const{declarations:t}=e.init;t.length>1&&(a=!1),this.astGeneric(e.init,n);for(let e=0;e0&&t.push(n.join(""),"\n"),t.push(`for (int ${e}=0;${e}0&&t.push(`if (!${r.join("")}) break;\n`),t.push(s.join("")),t.push(`\n${i.join("")};`),t.push("}\n")}return t}astWhileStatement(e,t){if("WhileStatement"!==e.type)throw this.astErrorOutput("Invalid while statement",e);const n=this.getInternalVariableName("safeI");return t.push(`for (int ${n}=0;${n}0&&o.push(u.join(",")),i.push(o.join(";")),t.push(i.join("")),t.push(";"),t}astIfStatement(e,t){return t.push("if ("),this.astGeneric(e.test,t),t.push(")"),"BlockStatement"===e.consequent.type?this.astGeneric(e.consequent,t):(t.push(" {\n"),this.astGeneric(e.consequent,t),t.push("\n}\n")),e.alternate&&(t.push("else "),"BlockStatement"===e.alternate.type||"IfStatement"===e.alternate.type?this.astGeneric(e.alternate,t):(t.push(" {\n"),this.astGeneric(e.alternate,t),t.push("\n}\n"))),t}astSwitchStatement(e,t){if("SwitchStatement"!==e.type)throw this.astErrorOutput("Invalid switch statement",e);const{discriminant:n,cases:r}=e,i=this.getType(n),s=`switchDiscriminant${this.astKey(e,"_")}`;switch(i){case"Float":case"Number":t.push(`float ${s} = `),this.astGeneric(n,t),t.push(";\n");break;case"Integer":t.push(`int ${s} = `),this.astGeneric(n,t),t.push(";\n")}if(1===r.length&&!r[0].test)return this.astGeneric(r[0].consequent,t),t;let a=!1,o=[],u=!1,l=!1;for(let e=0;ee+1){u=!0,this.astGeneric(r[e].consequent,o);continue}t.push(" else {\n")}this.astGeneric(r[e].consequent,t),t.push("\n}")}return u&&(t.push(" else {"),t.push(o.join("")),t.push("}")),t}astThisExpression(e,t){return t.push("this"),t}astMemberExpression(e,t){const{property:n,name:i,signature:s,origin:a,type:o,xProperty:u,yProperty:l,zProperty:h}=this.getMemberExpressionDetails(e);switch(s){case"value.thread.value":case"this.thread.value":if("x"!==i&&"y"!==i&&"z"!==i)throw this.astErrorOutput("Unexpected expression, expected `this.thread.x`, `this.thread.y`, or `this.thread.z`",e);return t.push(`threadId.${i}`),t;case"this.output.value":if(this.dynamicOutput)switch(i){case"x":this.isState("casting-to-float")?t.push("float(uOutputDim.x)"):t.push("uOutputDim.x");break;case"y":this.isState("casting-to-float")?t.push("float(uOutputDim.y)"):t.push("uOutputDim.y");break;case"z":this.isState("casting-to-float")?t.push("float(uOutputDim.z)"):t.push("uOutputDim.z");break;default:throw this.astErrorOutput("Unexpected expression",e)}else switch(i){case"x":this.isState("casting-to-integer")?t.push(this.output[0]):t.push(this.output[0],".0");break;case"y":this.isState("casting-to-integer")?t.push(this.output[1]):t.push(this.output[1],".0");break;case"z":this.isState("casting-to-integer")?t.push(this.output[2]):t.push(this.output[2],".0");break;default:throw this.astErrorOutput("Unexpected expression",e)}return t;case"value":throw this.astErrorOutput("Unexpected expression",e);case"value[]":case"value[][]":case"value[][][]":case"value[][][][]":case"value.value":if("Math"===a)return t.push(Math[i]),t;const s=r.sanitizeName(i);switch(n){case"r":return t.push(`user_${s}.r`),t;case"g":return t.push(`user_${s}.g`),t;case"b":return t.push(`user_${s}.b`),t;case"a":return t.push(`user_${s}.a`),t}break;case"this.constants.value":if(void 0===u)switch(o){case"Array(2)":case"Array(3)":case"Array(4)":return t.push(`constants_${r.sanitizeName(i)}`),t}case"this.constants.value[]":case"this.constants.value[][]":case"this.constants.value[][][]":case"this.constants.value[][][][]":break;case"fn()[]":return this.astCallExpression(e.object,t),t.push("["),t.push(this.memberExpressionPropertyMarkup(n)),t.push("]"),t;case"fn()[][]":return this.astCallExpression(e.object.object,t),t.push("["),t.push(this.memberExpressionPropertyMarkup(e.object.property)),t.push("]"),t.push("["),t.push(this.memberExpressionPropertyMarkup(e.property)),t.push("]"),t;case"[][]":return this.astArrayExpression(e.object,t),t.push("["),t.push(this.memberExpressionPropertyMarkup(n)),t.push("]"),t;default:throw this.astErrorOutput("Unexpected expression",e)}if(!1===e.computed)switch(o){case"Number":case"Integer":case"Float":case"Boolean":return t.push(`${a}_${r.sanitizeName(i)}`),t}const c=`${a}_${r.sanitizeName(i)}`;switch(o){case"Array(2)":case"Array(3)":case"Array(4)":this.astGeneric(e.object,t),t.push("["),t.push(this.memberExpressionPropertyMarkup(u)),t.push("]");break;case"HTMLImageArray":t.push(`getImage3D(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"ArrayTexture(1)":t.push(`getFloatFromSampler2D(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"Array1D(2)":case"Array2D(2)":case"Array3D(2)":t.push(`getMemoryOptimizedVec2(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"ArrayTexture(2)":t.push(`getVec2FromSampler2D(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"Array1D(3)":case"Array2D(3)":case"Array3D(3)":t.push(`getMemoryOptimizedVec3(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"ArrayTexture(3)":t.push(`getVec3FromSampler2D(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"Array1D(4)":case"Array2D(4)":case"Array3D(4)":t.push(`getMemoryOptimizedVec4(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"ArrayTexture(4)":case"HTMLCanvas":case"OffscreenCanvas":case"HTMLImage":case"ImageBitmap":case"ImageData":case"HTMLVideo":t.push(`getVec4FromSampler2D(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"NumberTexture":case"Array":case"Array2D":case"Array3D":case"Array4D":case"Input":case"Number":case"Float":case"Integer":if("single"===this.precision)t.push(`getMemoryOptimized32(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");else{const e="user"===a?this.lookupFunctionArgumentBitRatio(this.name,i):this.constantBitRatios[i];switch(e){case 1:t.push(`get8(${c}, ${c}Size, ${c}Dim, `);break;case 2:t.push(`get16(${c}, ${c}Size, ${c}Dim, `);break;case 4:case 0:t.push(`get32(${c}, ${c}Size, ${c}Dim, `);break;default:throw new Error(`unhandled bit ratio of ${e}`)}this.memberExpressionXYZ(u,l,h,t),t.push(")")}break;case"MemoryOptimizedNumberTexture":t.push(`getMemoryOptimized32(${c}, ${c}Size, ${c}Dim, `),this.memberExpressionXYZ(u,l,h,t),t.push(")");break;case"Matrix(2)":case"Matrix(3)":case"Matrix(4)":t.push(`${c}[${this.memberExpressionPropertyMarkup(l)}]`),l&&t.push(`[${this.memberExpressionPropertyMarkup(u)}]`);break;default:throw new Error(`unhandled member expression "${o}"`)}return t}astCallExpression(e,t){if(!e.callee)throw this.astErrorOutput("Unknown CallExpression",e);let n=null;const i=this.isAstMathFunction(e);if(n=i||e.callee.object&&"ThisExpression"===e.callee.object.type?e.callee.property.name:"SequenceExpression"!==e.callee.type||"Literal"!==e.callee.expressions[0].type||isNaN(e.callee.expressions[0].raw)?e.callee.name:e.callee.expressions[1].property.name,!n)throw this.astErrorOutput("Unhandled function, couldn't find name",e);switch(n){case"pow":n="_pow";break;case"round":n="_round"}if(this.calledFunctions.indexOf(n)<0&&this.calledFunctions.push(n),"random"===n&&this.plugins&&this.plugins.length>0)for(let e=0;e0&&t.push(", "),"Integer"===i)this.castValueToFloat(r,t);else this.astGeneric(r,t)}else{const i=this.lookupFunctionArgumentTypes(n)||[];for(let s=0;s0&&t.push(", ");const u=this.getType(a);switch(o||(this.triggerImplyArgumentType(n,s,u,this),o=u),u){case"Boolean":this.astGeneric(a,t);continue;case"Number":case"Float":if("Integer"===o){t.push("int("),this.astGeneric(a,t),t.push(")");continue}if("Number"===o||"Float"===o){this.astGeneric(a,t);continue}if("LiteralInteger"===o){this.castLiteralToFloat(a,t);continue}break;case"Integer":if("Number"===o||"Float"===o){t.push("float("),this.astGeneric(a,t),t.push(")");continue}if("Integer"===o){this.astGeneric(a,t);continue}break;case"LiteralInteger":if("Integer"===o){this.castLiteralToInteger(a,t);continue}if("Number"===o||"Float"===o){this.castLiteralToFloat(a,t);continue}if("LiteralInteger"===o){this.astGeneric(a,t);continue}break;case"Array(2)":case"Array(3)":case"Array(4)":if(o===u){if("Identifier"===a.type)t.push(`user_${r.sanitizeName(a.name)}`);else{if("ArrayExpression"!==a.type&&"MemberExpression"!==a.type&&"CallExpression"!==a.type)throw this.astErrorOutput(`Unhandled argument type ${a.type}`,e);this.astGeneric(a,t)}continue}break;case"HTMLCanvas":case"OffscreenCanvas":case"HTMLImage":case"ImageBitmap":case"ImageData":case"HTMLImageArray":case"HTMLVideo":case"ArrayTexture(1)":case"ArrayTexture(2)":case"ArrayTexture(3)":case"ArrayTexture(4)":case"Array":case"Input":if(o===u){if("Identifier"!==a.type)throw this.astErrorOutput(`Unhandled argument type ${a.type}`,e);this.triggerImplyArgumentBitRatio(this.name,a.name,n,s);const i=r.sanitizeName(a.name);t.push(`user_${i},user_${i}Size,user_${i}Dim`);continue}}throw this.astErrorOutput(`Unhandled argument combination of ${u} and ${o} for argument named "${a.name}"`,e)}}return t.push(")"),t}astArrayExpression(e,t){const n=this.getType(e),r=e.elements.length;switch(n){case"Matrix(2)":case"Matrix(3)":case"Matrix(4)":t.push(`mat${r}(`);break;default:t.push(`vec${r}(`)}for(let n=0;n0&&t.push(", ");const r=e.elements[n];this.astGeneric(r,t)}return t.push(")"),t}memberExpressionXYZ(e,t,n,r){return n?r.push(this.memberExpressionPropertyMarkup(n),", "):r.push("0, "),t?r.push(this.memberExpressionPropertyMarkup(t),", "):r.push("0, "),r.push(this.memberExpressionPropertyMarkup(e)),r}memberExpressionPropertyMarkup(e){if(!e)throw new Error("Property not set");const t=[];switch(this.getType(e)){case"Number":case"Float":this.castValueToInteger(e,t);break;case"LiteralInteger":this.castLiteralToInteger(e,t);break;default:this.astGeneric(e,t)}return t.join("")}}}},{"../../utils":114,"../function-node":10}],39:[function(e,t,n){const{WebGLKernelValueBoolean:r}=e("./kernel-value/boolean"),{WebGLKernelValueFloat:i}=e("./kernel-value/float"),{WebGLKernelValueInteger:s}=e("./kernel-value/integer"),{WebGLKernelValueHTMLImage:a}=e("./kernel-value/html-image"),{WebGLKernelValueDynamicHTMLImage:o}=e("./kernel-value/dynamic-html-image"),{WebGLKernelValueHTMLVideo:u}=e("./kernel-value/html-video"),{WebGLKernelValueDynamicHTMLVideo:l}=e("./kernel-value/dynamic-html-video"),{WebGLKernelValueSingleInput:h}=e("./kernel-value/single-input"),{WebGLKernelValueDynamicSingleInput:c}=e("./kernel-value/dynamic-single-input"),{WebGLKernelValueUnsignedInput:p}=e("./kernel-value/unsigned-input"),{WebGLKernelValueDynamicUnsignedInput:d}=e("./kernel-value/dynamic-unsigned-input"),{WebGLKernelValueMemoryOptimizedNumberTexture:m}=e("./kernel-value/memory-optimized-number-texture"),{WebGLKernelValueDynamicMemoryOptimizedNumberTexture:f}=e("./kernel-value/dynamic-memory-optimized-number-texture"),{WebGLKernelValueNumberTexture:g}=e("./kernel-value/number-texture"),{WebGLKernelValueDynamicNumberTexture:x}=e("./kernel-value/dynamic-number-texture"),{WebGLKernelValueSingleArray:y}=e("./kernel-value/single-array"),{WebGLKernelValueDynamicSingleArray:b}=e("./kernel-value/dynamic-single-array"),{WebGLKernelValueSingleArray1DI:T}=e("./kernel-value/single-array1d-i"),{WebGLKernelValueDynamicSingleArray1DI:v}=e("./kernel-value/dynamic-single-array1d-i"),{WebGLKernelValueSingleArray2DI:S}=e("./kernel-value/single-array2d-i"),{WebGLKernelValueDynamicSingleArray2DI:A}=e("./kernel-value/dynamic-single-array2d-i"),{WebGLKernelValueSingleArray3DI:_}=e("./kernel-value/single-array3d-i"),{WebGLKernelValueDynamicSingleArray3DI:E}=e("./kernel-value/dynamic-single-array3d-i"),{WebGLKernelValueArray2:w}=e("./kernel-value/array2"),{WebGLKernelValueArray3:k}=e("./kernel-value/array3"),{WebGLKernelValueArray4:I}=e("./kernel-value/array4"),{WebGLKernelValueUnsignedArray:D}=e("./kernel-value/unsigned-array"),{WebGLKernelValueDynamicUnsignedArray:C}=e("./kernel-value/dynamic-unsigned-array"),$={unsigned:{dynamic:{Boolean:r,Integer:s,Float:i,Array:C,"Array(2)":w,"Array(3)":k,"Array(4)":I,"Array1D(2)":!1,"Array1D(3)":!1,"Array1D(4)":!1,"Array2D(2)":!1,"Array2D(3)":!1,"Array2D(4)":!1,"Array3D(2)":!1,"Array3D(3)":!1,"Array3D(4)":!1,Input:d,NumberTexture:x,"ArrayTexture(1)":x,"ArrayTexture(2)":x,"ArrayTexture(3)":x,"ArrayTexture(4)":x,MemoryOptimizedNumberTexture:f,HTMLCanvas:o,OffscreenCanvas:o,HTMLImage:o,ImageBitmap:o,ImageData:o,HTMLImageArray:!1,HTMLVideo:l},static:{Boolean:r,Float:i,Integer:s,Array:D,"Array(2)":w,"Array(3)":k,"Array(4)":I,"Array1D(2)":!1,"Array1D(3)":!1,"Array1D(4)":!1,"Array2D(2)":!1,"Array2D(3)":!1,"Array2D(4)":!1,"Array3D(2)":!1,"Array3D(3)":!1,"Array3D(4)":!1,Input:p,NumberTexture:g,"ArrayTexture(1)":g,"ArrayTexture(2)":g,"ArrayTexture(3)":g,"ArrayTexture(4)":g,MemoryOptimizedNumberTexture:m,HTMLCanvas:a,OffscreenCanvas:a,HTMLImage:a,ImageBitmap:a,ImageData:a,HTMLImageArray:!1,HTMLVideo:u}},single:{dynamic:{Boolean:r,Integer:s,Float:i,Array:b,"Array(2)":w,"Array(3)":k,"Array(4)":I,"Array1D(2)":v,"Array1D(3)":v,"Array1D(4)":v,"Array2D(2)":A,"Array2D(3)":A,"Array2D(4)":A,"Array3D(2)":E,"Array3D(3)":E,"Array3D(4)":E,Input:c,NumberTexture:x,"ArrayTexture(1)":x,"ArrayTexture(2)":x,"ArrayTexture(3)":x,"ArrayTexture(4)":x,MemoryOptimizedNumberTexture:f,HTMLCanvas:o,OffscreenCanvas:o,HTMLImage:o,ImageBitmap:o,ImageData:o,HTMLImageArray:!1,HTMLVideo:l},static:{Boolean:r,Float:i,Integer:s,Array:y,"Array(2)":w,"Array(3)":k,"Array(4)":I,"Array1D(2)":T,"Array1D(3)":T,"Array1D(4)":T,"Array2D(2)":S,"Array2D(3)":S,"Array2D(4)":S,"Array3D(2)":_,"Array3D(3)":_,"Array3D(4)":_,Input:h,NumberTexture:g,"ArrayTexture(1)":g,"ArrayTexture(2)":g,"ArrayTexture(3)":g,"ArrayTexture(4)":g,MemoryOptimizedNumberTexture:m,HTMLCanvas:a,OffscreenCanvas:a,HTMLImage:a,ImageBitmap:a,ImageData:a,HTMLImageArray:!1,HTMLVideo:u}}};t.exports={lookupKernelValueType:function(e,t,n,r){if(!e)throw new Error("type missing");if(!t)throw new Error("dynamic missing");if(!n)throw new Error("precision missing");r.type&&(e=r.type);const i=$[n][t];if(!1===i[e])return null;if(void 0===i[e])throw new Error(`Could not find a KernelValue for ${e}`);return i[e]},kernelValueMaps:$}},{"./kernel-value/array2":41,"./kernel-value/array3":42,"./kernel-value/array4":43,"./kernel-value/boolean":44,"./kernel-value/dynamic-html-image":45,"./kernel-value/dynamic-html-video":46,"./kernel-value/dynamic-memory-optimized-number-texture":47,"./kernel-value/dynamic-number-texture":48,"./kernel-value/dynamic-single-array":49,"./kernel-value/dynamic-single-array1d-i":50,"./kernel-value/dynamic-single-array2d-i":51,"./kernel-value/dynamic-single-array3d-i":52,"./kernel-value/dynamic-single-input":53,"./kernel-value/dynamic-unsigned-array":54,"./kernel-value/dynamic-unsigned-input":55,"./kernel-value/float":56,"./kernel-value/html-image":57,"./kernel-value/html-video":58,"./kernel-value/integer":60,"./kernel-value/memory-optimized-number-texture":61,"./kernel-value/number-texture":62,"./kernel-value/single-array":63,"./kernel-value/single-array1d-i":64,"./kernel-value/single-array2d-i":65,"./kernel-value/single-array3d-i":66,"./kernel-value/single-input":67,"./kernel-value/unsigned-array":68,"./kernel-value/unsigned-input":69}],40:[function(e,t,n){const{WebGLKernelValue:r}=e("./index"),{Input:i}=e("../../../input");t.exports={WebGLKernelArray:class extends r{checkSize(e,t){if(!this.kernel.validate)return;const{maxTextureSize:n}=this.kernel.constructor.features;if(e>n||t>n)throw e>t?new Error(`Argument texture width of ${e} larger than maximum size of ${n} for your GPU`):ee===r.name))&&t.push(r)}return t}initExtensions(){this.extensions={OES_texture_float:this.context.getExtension("OES_texture_float"),OES_texture_float_linear:this.context.getExtension("OES_texture_float_linear"),OES_element_index_uint:this.context.getExtension("OES_element_index_uint"),WEBGL_draw_buffers:this.context.getExtension("WEBGL_draw_buffers"),WEBGL_color_buffer_float:this.context.getExtension("WEBGL_color_buffer_float")}}validateSettings(e){if(!this.validate)return void(this.texSize=a.getKernelTextureSize({optimizeFloatMemory:this.optimizeFloatMemory,precision:this.precision},this.output));const{features:t}=this.constructor;if(!0===this.optimizeFloatMemory&&!t.isTextureFloat)throw new Error("Float textures are not supported");if("single"===this.precision&&!t.isFloatRead)throw new Error("Single precision not supported");if(!this.graphical&&null===this.precision&&t.isTextureFloat&&(this.precision=t.isFloatRead?"single":"unsigned"),this.subKernels&&this.subKernels.length>0&&!this.extensions.WEBGL_draw_buffers)throw new Error("could not instantiate draw buffers extension");if(null===this.fixIntegerDivisionAccuracy?this.fixIntegerDivisionAccuracy=!t.isIntegerDivisionAccurate:this.fixIntegerDivisionAccuracy&&t.isIntegerDivisionAccurate&&(this.fixIntegerDivisionAccuracy=!1),this.checkOutput(),!this.output||0===this.output.length){if(1!==e.length)throw new Error("Auto output only supported for kernels with only one input");const t=a.getVariableType(e[0],this.strictIntegers);switch(t){case"Array":this.output=a.getDimensions(t);break;case"NumberTexture":case"MemoryOptimizedNumberTexture":case"ArrayTexture(1)":case"ArrayTexture(2)":case"ArrayTexture(3)":case"ArrayTexture(4)":this.output=e[0].output;break;default:throw new Error("Auto output not supported for input type: "+t)}}if(this.graphical){if(2!==this.output.length)throw new Error("Output must have 2 dimensions on graphical mode");return"precision"===this.precision&&(this.precision="unsigned",console.warn("Cannot use graphical mode and single precision at the same time")),void(this.texSize=a.clone(this.output))}null===this.precision&&t.isTextureFloat&&(this.precision="single"),this.texSize=a.getKernelTextureSize({optimizeFloatMemory:this.optimizeFloatMemory,precision:this.precision},this.output),this.checkTextureSize()}updateMaxTexSize(){const{texSize:e,canvas:t}=this;if(null===this.maxTexSize){let n=y.indexOf(t);-1===n&&(n=y.length,y.push(t),b[n]=[e[0],e[1]]),this.maxTexSize=b[n]}this.maxTexSize[0]this.argumentNames.length)throw new Error("too many arguments for kernel");const{context:n}=this;let r=0;const i=()=>this.createTexture(),s=()=>this.constantTextureCount+r++,o=e=>{this.switchKernels({type:"argumentMismatch",needed:e})},u=()=>n.TEXTURE0+this.constantTextureCount+this.argumentTextureCount++;for(let r=0;rthis.createTexture(),onRequestIndex:()=>r++,onRequestContextHandle:()=>t.TEXTURE0+this.constantTextureCount++});this.constantBitRatios[i]=l.bitRatio,this.kernelConstants.push(l),l.setup(),l.forceUploadEachRun&&this.forceUploadKernelConstants.push(l)}}build(){if(this.built)return;if(this.initExtensions(),this.validateSettings(arguments),this.setupConstants(arguments),this.fallbackRequested)return;if(this.setupArguments(arguments),this.fallbackRequested)return;this.updateMaxTexSize(),this.translateSource();const e=this.pickRenderStrategy(arguments);if(e)return e;const{texSize:t,context:n,canvas:r}=this;n.enable(n.SCISSOR_TEST),this.pipeline&&this.precision,n.viewport(0,0,this.maxTexSize[0],this.maxTexSize[1]),r.width=this.maxTexSize[0],r.height=this.maxTexSize[1];const i=this.threadDim=Array.from(this.output);for(;i.length<3;)i.push(1);const s=this.getVertexShader(arguments),a=n.createShader(n.VERTEX_SHADER);n.shaderSource(a,s),n.compileShader(a),this.vertShader=a;const o=this.getFragmentShader(arguments),u=n.createShader(n.FRAGMENT_SHADER);if(n.shaderSource(u,o),n.compileShader(u),this.fragShader=u,this.debug&&(console.log("GLSL Shader Output:"),console.log(o)),!n.getShaderParameter(a,n.COMPILE_STATUS))throw new Error("Error compiling vertex shader: "+n.getShaderInfoLog(a));if(!n.getShaderParameter(u,n.COMPILE_STATUS))throw new Error("Error compiling fragment shader: "+n.getShaderInfoLog(u));const l=this.program=n.createProgram();n.attachShader(l,a),n.attachShader(l,u),n.linkProgram(l),this.framebuffer=n.createFramebuffer(),this.framebuffer.width=t[0],this.framebuffer.height=t[1],this.rawValueFramebuffers={};const h=new Float32Array([-1,-1,1,-1,-1,1,1,1]),c=new Float32Array([0,0,1,0,0,1,1,1]),p=h.byteLength;let d=this.buffer;d?n.bindBuffer(n.ARRAY_BUFFER,d):(d=this.buffer=n.createBuffer(),n.bindBuffer(n.ARRAY_BUFFER,d),n.bufferData(n.ARRAY_BUFFER,h.byteLength+c.byteLength,n.STATIC_DRAW)),n.bufferSubData(n.ARRAY_BUFFER,0,h),n.bufferSubData(n.ARRAY_BUFFER,p,c);const m=n.getAttribLocation(this.program,"aPos");n.enableVertexAttribArray(m),n.vertexAttribPointer(m,2,n.FLOAT,!1,0,0);const f=n.getAttribLocation(this.program,"aTexCoord");n.enableVertexAttribArray(f),n.vertexAttribPointer(f,2,n.FLOAT,!1,0,p),n.bindFramebuffer(n.FRAMEBUFFER,this.framebuffer);let g=0;n.useProgram(this.program);for(let e in this.constants)this.kernelConstants[g++].updateValue(this.constants[e]);this._setupOutputTexture(),null!==this.subKernels&&this.subKernels.length>0&&(this._mappedTextureSwitched={},this._setupSubOutputTextures()),this.buildSignature(arguments),this.built=!0}translateSource(){const e=i.fromKernel(this,s,{fixIntegerDivisionAccuracy:this.fixIntegerDivisionAccuracy});this.translatedSource=e.getPrototypeString("kernel"),this.setupReturnTypes(e)}setupReturnTypes(e){if(this.graphical||this.returnType||(this.returnType=e.getKernelResultType()),this.subKernels&&this.subKernels.length>0)for(let t=0;te.source&&this.source.match(e.functionMatch)?e.source:"")).join("\n"):"\n"}_getConstantsString(){const e=[],{threadDim:t,texSize:n}=this;return this.dynamicOutput?e.push("uniform ivec3 uOutputDim","uniform ivec2 uTexSize"):e.push(`ivec3 uOutputDim = ivec3(${t[0]}, ${t[1]}, ${t[2]})`,`ivec2 uTexSize = ivec2(${n[0]}, ${n[1]})`),a.linesToString(e)}_getTextureCoordinate(){const e=this.subKernels;return null===e||e.length<1?"varying vec2 vTexCoord;\n":"out vec2 vTexCoord;\n"}_getDecode32EndiannessString(){return"LE"===this.endianness?"":" texel.rgba = texel.abgr;\n"}_getEncode32EndiannessString(){return"LE"===this.endianness?"":" texel.rgba = texel.abgr;\n"}_getDivideWithIntegerCheckString(){return this.fixIntegerDivisionAccuracy?"float divWithIntCheck(float x, float y) {\n if (floor(x) == x && floor(y) == y && integerMod(x, y) == 0.0) {\n return float(int(x) / int(y));\n }\n return x / y;\n}\n\nfloat integerCorrectionModulo(float number, float divisor) {\n if (number < 0.0) {\n number = abs(number);\n if (divisor < 0.0) {\n divisor = abs(divisor);\n }\n return -(number - (divisor * floor(divWithIntCheck(number, divisor))));\n }\n if (divisor < 0.0) {\n divisor = abs(divisor);\n }\n return number - (divisor * floor(divWithIntCheck(number, divisor)));\n}":""}_getMainArgumentsString(e){const t=[],{argumentNames:n}=this;for(let r=0;r{if(t.hasOwnProperty(n))return t[n];throw`unhandled artifact ${n}`}))}getFragmentShader(e){return null!==this.compiledFragmentShader?this.compiledFragmentShader:this.compiledFragmentShader=this.replaceArtifacts(this.constructor.fragmentShader,this._getFragShaderArtifactMap(e))}getVertexShader(e){return null!==this.compiledVertexShader?this.compiledVertexShader:this.compiledVertexShader=this.replaceArtifacts(this.constructor.vertexShader,this._getVertShaderArtifactMap(e))}toString(){const e=a.linesToString(["const gl = context"]);return h(this.constructor,arguments,this,e)}destroy(e){if(!this.context)return;this.buffer&&this.context.deleteBuffer(this.buffer),this.framebuffer&&this.context.deleteFramebuffer(this.framebuffer);for(const e in this.rawValueFramebuffers){for(const t in this.rawValueFramebuffers[e])this.context.deleteFramebuffer(this.rawValueFramebuffers[e][t]),delete this.rawValueFramebuffers[e][t];delete this.rawValueFramebuffers[e]}if(this.vertShader&&this.context.deleteShader(this.vertShader),this.fragShader&&this.context.deleteShader(this.fragShader),this.program&&this.context.deleteProgram(this.program),this.texture){this.texture.delete();const e=this.textureCache.indexOf(this.texture.texture);e>-1&&this.textureCache.splice(e,1),this.texture=null}if(this.mappedTextures&&this.mappedTextures.length){for(let e=0;e-1&&this.textureCache.splice(n,1)}this.mappedTextures=null}if(this.kernelArguments)for(let e=0;e0;){const e=this.textureCache.pop();this.context.deleteTexture(e)}if(e){const e=y.indexOf(this.canvas);e>=0&&(y[e]=null,b[e]=null)}if(this.destroyExtensions(),delete this.context,delete this.canvas,!this.gpu)return;const t=this.gpu.kernels.indexOf(this);-1!==t&&this.gpu.kernels.splice(t,1)}destroyExtensions(){this.extensions.OES_texture_float=null,this.extensions.OES_texture_float_linear=null,this.extensions.OES_element_index_uint=null,this.extensions.WEBGL_draw_buffers=null}static destroyContext(e){const t=e.getExtension("WEBGL_lose_context");t&&t.loseContext()}toJSON(){const e=super.toJSON();return e.functionNodes=i.fromKernel(this,s).toJSON(),e.settings.threadDim=this.threadDim,e}}}},{"../../plugins/math-random-uniformly-distributed":112,"../../utils":114,"../function-builder":9,"../gl/kernel":13,"../gl/kernel-string":12,"./fragment-shader":37,"./function-node":38,"./kernel-value-maps":39,"./vertex-shader":71}],71:[function(e,t,n){t.exports={vertexShader:"__FLOAT_TACTIC_DECLARATION__;\n__INT_TACTIC_DECLARATION__;\n__SAMPLER_2D_TACTIC_DECLARATION__;\n\nattribute vec2 aPos;\nattribute vec2 aTexCoord;\n\nvarying vec2 vTexCoord;\nuniform vec2 ratio;\n\nvoid main(void) {\n gl_Position = vec4((aPos + vec2(1)) * ratio + vec2(-1), 0, 1);\n vTexCoord = aTexCoord;\n}"}},{}],72:[function(e,t,n){const r=`#version 300 es\n__HEADER__;\n__FLOAT_TACTIC_DECLARATION__;\n__INT_TACTIC_DECLARATION__;\n__SAMPLER_2D_TACTIC_DECLARATION__;\n__SAMPLER_2D_ARRAY_TACTIC_DECLARATION__;\n\nconst int LOOP_MAX = __LOOP_MAX__;\n\n__PLUGINS__;\n__CONSTANTS__;\n\nin vec2 vTexCoord;\n\nfloat atan2(float v1, float v2) {\n if (v1 == 0.0 || v2 == 0.0) return 0.0;\n return atan(v1 / v2);\n}\n\nfloat cbrt(float x) {\n if (x >= 0.0) {\n return pow(x, 1.0 / 3.0);\n } else {\n return -pow(x, 1.0 / 3.0);\n }\n}\n\nfloat expm1(float x) {\n return pow(${Math.E}, x) - 1.0; \n}\n\nfloat fround(highp float x) {\n return x;\n}\n\nfloat imul(float v1, float v2) {\n return float(int(v1) * int(v2));\n}\n\nfloat log10(float x) {\n return log2(x) * (1.0 / log2(10.0));\n}\n\nfloat log1p(float x) {\n return log(1.0 + x);\n}\n\nfloat _pow(float v1, float v2) {\n if (v2 == 0.0) return 1.0;\n return pow(v1, v2);\n}\n\nfloat _round(float x) {\n return floor(x + 0.5);\n}\n\n\nconst int BIT_COUNT = 32;\nint modi(int x, int y) {\n return x - y * (x / y);\n}\n\nint bitwiseOr(int a, int b) {\n int result = 0;\n int n = 1;\n \n for (int i = 0; i < BIT_COUNT; i++) {\n if ((modi(a, 2) == 1) || (modi(b, 2) == 1)) {\n result += n;\n }\n a = a / 2;\n b = b / 2;\n n = n * 2;\n if(!(a > 0 || b > 0)) {\n break;\n }\n }\n return result;\n}\nint bitwiseXOR(int a, int b) {\n int result = 0;\n int n = 1;\n \n for (int i = 0; i < BIT_COUNT; i++) {\n if ((modi(a, 2) == 1) != (modi(b, 2) == 1)) {\n result += n;\n }\n a = a / 2;\n b = b / 2;\n n = n * 2;\n if(!(a > 0 || b > 0)) {\n break;\n }\n }\n return result;\n}\nint bitwiseAnd(int a, int b) {\n int result = 0;\n int n = 1;\n for (int i = 0; i < BIT_COUNT; i++) {\n if ((modi(a, 2) == 1) && (modi(b, 2) == 1)) {\n result += n;\n }\n a = a / 2;\n b = b / 2;\n n = n * 2;\n if(!(a > 0 && b > 0)) {\n break;\n }\n }\n return result;\n}\nint bitwiseNot(int a) {\n int result = 0;\n int n = 1;\n \n for (int i = 0; i < BIT_COUNT; i++) {\n if (modi(a, 2) == 0) {\n result += n; \n }\n a = a / 2;\n n = n * 2;\n }\n return result;\n}\nint bitwiseZeroFillLeftShift(int n, int shift) {\n int maxBytes = BIT_COUNT;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (maxBytes >= n) {\n break;\n }\n maxBytes *= 2;\n }\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= shift) {\n break;\n }\n n *= 2;\n }\n\n int result = 0;\n int byteVal = 1;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= maxBytes) break;\n if (modi(n, 2) > 0) { result += byteVal; }\n n = int(n / 2);\n byteVal *= 2;\n }\n return result;\n}\n\nint bitwiseSignedRightShift(int num, int shifts) {\n return int(floor(float(num) / pow(2.0, float(shifts))));\n}\n\nint bitwiseZeroFillRightShift(int n, int shift) {\n int maxBytes = BIT_COUNT;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (maxBytes >= n) {\n break;\n }\n maxBytes *= 2;\n }\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= shift) {\n break;\n }\n n /= 2;\n }\n int result = 0;\n int byteVal = 1;\n for (int i = 0; i < BIT_COUNT; i++) {\n if (i >= maxBytes) break;\n if (modi(n, 2) > 0) { result += byteVal; }\n n = int(n / 2);\n byteVal *= 2;\n }\n return result;\n}\n\nvec2 integerMod(vec2 x, float y) {\n vec2 res = floor(mod(x, y));\n return res * step(1.0 - floor(y), -res);\n}\n\nvec3 integerMod(vec3 x, float y) {\n vec3 res = floor(mod(x, y));\n return res * step(1.0 - floor(y), -res);\n}\n\nvec4 integerMod(vec4 x, vec4 y) {\n vec4 res = floor(mod(x, y));\n return res * step(1.0 - floor(y), -res);\n}\n\nfloat integerMod(float x, float y) {\n float res = floor(mod(x, y));\n return res * (res > floor(y) - 1.0 ? 0.0 : 1.0);\n}\n\nint integerMod(int x, int y) {\n return x - (y * int(x/y));\n}\n\n__DIVIDE_WITH_INTEGER_CHECK__;\n\n// Here be dragons!\n// DO NOT OPTIMIZE THIS CODE\n// YOU WILL BREAK SOMETHING ON SOMEBODY'S MACHINE\n// LEAVE IT AS IT IS, LEST YOU WASTE YOUR OWN TIME\nconst vec2 MAGIC_VEC = vec2(1.0, -256.0);\nconst vec4 SCALE_FACTOR = vec4(1.0, 256.0, 65536.0, 0.0);\nconst vec4 SCALE_FACTOR_INV = vec4(1.0, 0.00390625, 0.0000152587890625, 0.0); // 1, 1/256, 1/65536\nfloat decode32(vec4 texel) {\n __DECODE32_ENDIANNESS__;\n texel *= 255.0;\n vec2 gte128;\n gte128.x = texel.b >= 128.0 ? 1.0 : 0.0;\n gte128.y = texel.a >= 128.0 ? 1.0 : 0.0;\n float exponent = 2.0 * texel.a - 127.0 + dot(gte128, MAGIC_VEC);\n float res = exp2(round(exponent));\n texel.b = texel.b - 128.0 * gte128.x;\n res = dot(texel, SCALE_FACTOR) * exp2(round(exponent-23.0)) + res;\n res *= gte128.y * -2.0 + 1.0;\n return res;\n}\n\nfloat decode16(vec4 texel, int index) {\n int channel = integerMod(index, 2);\n return texel[channel*2] * 255.0 + texel[channel*2 + 1] * 65280.0;\n}\n\nfloat decode8(vec4 texel, int index) {\n int channel = integerMod(index, 4);\n return texel[channel] * 255.0;\n}\n\nvec4 legacyEncode32(float f) {\n float F = abs(f);\n float sign = f < 0.0 ? 1.0 : 0.0;\n float exponent = floor(log2(F));\n float mantissa = (exp2(-exponent) * F);\n // exponent += floor(log2(mantissa));\n vec4 texel = vec4(F * exp2(23.0-exponent)) * SCALE_FACTOR_INV;\n texel.rg = integerMod(texel.rg, 256.0);\n texel.b = integerMod(texel.b, 128.0);\n texel.a = exponent*0.5 + 63.5;\n texel.ba += vec2(integerMod(exponent+127.0, 2.0), sign) * 128.0;\n texel = floor(texel);\n texel *= 0.003921569; // 1/255\n __ENCODE32_ENDIANNESS__;\n return texel;\n}\n\n// https://github.com/gpujs/gpu.js/wiki/Encoder-details\nvec4 encode32(float value) {\n if (value == 0.0) return vec4(0, 0, 0, 0);\n\n float exponent;\n float mantissa;\n vec4 result;\n float sgn;\n\n sgn = step(0.0, -value);\n value = abs(value);\n\n exponent = floor(log2(value));\n\n mantissa = value*pow(2.0, -exponent)-1.0;\n exponent = exponent+127.0;\n result = vec4(0,0,0,0);\n\n result.a = floor(exponent/2.0);\n exponent = exponent - result.a*2.0;\n result.a = result.a + 128.0*sgn;\n\n result.b = floor(mantissa * 128.0);\n mantissa = mantissa - result.b / 128.0;\n result.b = result.b + exponent*128.0;\n\n result.g = floor(mantissa*32768.0);\n mantissa = mantissa - result.g/32768.0;\n\n result.r = floor(mantissa*8388608.0);\n return result/255.0;\n}\n// Dragons end here\n\nint index;\nivec3 threadId;\n\nivec3 indexTo3D(int idx, ivec3 texDim) {\n int z = int(idx / (texDim.x * texDim.y));\n idx -= z * int(texDim.x * texDim.y);\n int y = int(idx / texDim.x);\n int x = int(integerMod(idx, texDim.x));\n return ivec3(x, y, z);\n}\n\nfloat get32(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture(tex, st / vec2(texSize));\n return decode32(texel);\n}\n\nfloat get16(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + (texDim.x * (y + (texDim.y * z)));\n int w = texSize.x * 2;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture(tex, st / vec2(texSize.x * 2, texSize.y));\n return decode16(texel, index);\n}\n\nfloat get8(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + (texDim.x * (y + (texDim.y * z)));\n int w = texSize.x * 4;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture(tex, st / vec2(texSize.x * 4, texSize.y));\n return decode8(texel, index);\n}\n\nfloat getMemoryOptimized32(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + (texDim.x * (y + (texDim.y * z)));\n int channel = integerMod(index, 4);\n index = index / 4;\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n index = index / 4;\n vec4 texel = texture(tex, st / vec2(texSize));\n return texel[channel];\n}\n\nvec4 getImage2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n return texture(tex, st / vec2(texSize));\n}\n\nvec4 getImage3D(sampler2DArray tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n return texture(tex, vec3(st / vec2(texSize), z));\n}\n\nfloat getFloatFromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n vec4 result = getImage2D(tex, texSize, texDim, z, y, x);\n return result[0];\n}\n\nvec2 getVec2FromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n vec4 result = getImage2D(tex, texSize, texDim, z, y, x);\n return vec2(result[0], result[1]);\n}\n\nvec2 getMemoryOptimizedVec2(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int channel = integerMod(index, 2);\n index = index / 2;\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture(tex, st / vec2(texSize));\n if (channel == 0) return vec2(texel.r, texel.g);\n if (channel == 1) return vec2(texel.b, texel.a);\n return vec2(0.0, 0.0);\n}\n\nvec3 getVec3FromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n vec4 result = getImage2D(tex, texSize, texDim, z, y, x);\n return vec3(result[0], result[1], result[2]);\n}\n\nvec3 getMemoryOptimizedVec3(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int fieldIndex = 3 * (x + texDim.x * (y + texDim.y * z));\n int vectorIndex = fieldIndex / 4;\n int vectorOffset = fieldIndex - vectorIndex * 4;\n int readY = vectorIndex / texSize.x;\n int readX = vectorIndex - readY * texSize.x;\n vec4 tex1 = texture(tex, (vec2(readX, readY) + 0.5) / vec2(texSize));\n\n if (vectorOffset == 0) {\n return tex1.xyz;\n } else if (vectorOffset == 1) {\n return tex1.yzw;\n } else {\n readX++;\n if (readX >= texSize.x) {\n readX = 0;\n readY++;\n }\n vec4 tex2 = texture(tex, vec2(readX, readY) / vec2(texSize));\n if (vectorOffset == 2) {\n return vec3(tex1.z, tex1.w, tex2.x);\n } else {\n return vec3(tex1.w, tex2.x, tex2.y);\n }\n }\n}\n\nvec4 getVec4FromSampler2D(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n return getImage2D(tex, texSize, texDim, z, y, x);\n}\n\nvec4 getMemoryOptimizedVec4(sampler2D tex, ivec2 texSize, ivec3 texDim, int z, int y, int x) {\n int index = x + texDim.x * (y + texDim.y * z);\n int channel = integerMod(index, 2);\n int w = texSize.x;\n vec2 st = vec2(float(integerMod(index, w)), float(index / w)) + 0.5;\n vec4 texel = texture(tex, st / vec2(texSize));\n return vec4(texel.r, texel.g, texel.b, texel.a);\n}\n\nvec4 actualColor;\nvoid color(float r, float g, float b, float a) {\n actualColor = vec4(r,g,b,a);\n}\n\nvoid color(float r, float g, float b) {\n color(r,g,b,1.0);\n}\n\nfloat modulo(float number, float divisor) {\n if (number < 0.0) {\n number = abs(number);\n if (divisor < 0.0) {\n divisor = abs(divisor);\n }\n return -mod(number, divisor);\n }\n if (divisor < 0.0) {\n divisor = abs(divisor);\n }\n return mod(number, divisor);\n}\n\n__INJECTED_NATIVE__;\n__MAIN_CONSTANTS__;\n__MAIN_ARGUMENTS__;\n__KERNEL__;\n\nvoid main(void) {\n index = int(vTexCoord.s * float(uTexSize.x)) + int(vTexCoord.t * float(uTexSize.y)) * uTexSize.x;\n __MAIN_RESULT__;\n}`;t.exports={fragmentShader:r}},{}],73:[function(e,t,n){const{utils:r}=e("../../utils"),{WebGLFunctionNode:i}=e("../web-gl/function-node");t.exports={WebGL2FunctionNode:class extends i{astIdentifierExpression(e,t){if("Identifier"!==e.type)throw this.astErrorOutput("IdentifierExpression - not an Identifier",e);const n=this.getType(e),i=r.sanitizeName(e.name);return"Infinity"===e.name?t.push("intBitsToFloat(2139095039)"):"Boolean"===n&&this.argumentNames.indexOf(i)>-1?t.push(`bool(user_${i})`):t.push(`user_${i}`),t}}}},{"../../utils":114,"../web-gl/function-node":38}],74:[function(e,t,n){const{WebGL2KernelValueBoolean:r}=e("./kernel-value/boolean"),{WebGL2KernelValueFloat:i}=e("./kernel-value/float"),{WebGL2KernelValueInteger:s}=e("./kernel-value/integer"),{WebGL2KernelValueHTMLImage:a}=e("./kernel-value/html-image"),{WebGL2KernelValueDynamicHTMLImage:o}=e("./kernel-value/dynamic-html-image"),{WebGL2KernelValueHTMLImageArray:u}=e("./kernel-value/html-image-array"),{WebGL2KernelValueDynamicHTMLImageArray:l}=e("./kernel-value/dynamic-html-image-array"),{WebGL2KernelValueHTMLVideo:h}=e("./kernel-value/html-video"),{WebGL2KernelValueDynamicHTMLVideo:c}=e("./kernel-value/dynamic-html-video"),{WebGL2KernelValueSingleInput:p}=e("./kernel-value/single-input"),{WebGL2KernelValueDynamicSingleInput:d}=e("./kernel-value/dynamic-single-input"),{WebGL2KernelValueUnsignedInput:m}=e("./kernel-value/unsigned-input"),{WebGL2KernelValueDynamicUnsignedInput:f}=e("./kernel-value/dynamic-unsigned-input"),{WebGL2KernelValueMemoryOptimizedNumberTexture:g}=e("./kernel-value/memory-optimized-number-texture"),{WebGL2KernelValueDynamicMemoryOptimizedNumberTexture:x}=e("./kernel-value/dynamic-memory-optimized-number-texture"),{WebGL2KernelValueNumberTexture:y}=e("./kernel-value/number-texture"),{WebGL2KernelValueDynamicNumberTexture:b}=e("./kernel-value/dynamic-number-texture"),{WebGL2KernelValueSingleArray:T}=e("./kernel-value/single-array"),{WebGL2KernelValueDynamicSingleArray:v}=e("./kernel-value/dynamic-single-array"),{WebGL2KernelValueSingleArray1DI:S}=e("./kernel-value/single-array1d-i"),{WebGL2KernelValueDynamicSingleArray1DI:A}=e("./kernel-value/dynamic-single-array1d-i"),{WebGL2KernelValueSingleArray2DI:_}=e("./kernel-value/single-array2d-i"),{WebGL2KernelValueDynamicSingleArray2DI:E}=e("./kernel-value/dynamic-single-array2d-i"),{WebGL2KernelValueSingleArray3DI:w}=e("./kernel-value/single-array3d-i"),{WebGL2KernelValueDynamicSingleArray3DI:k}=e("./kernel-value/dynamic-single-array3d-i"),{WebGL2KernelValueArray2:I}=e("./kernel-value/array2"),{WebGL2KernelValueArray3:D}=e("./kernel-value/array3"),{WebGL2KernelValueArray4:C}=e("./kernel-value/array4"),{WebGL2KernelValueUnsignedArray:$}=e("./kernel-value/unsigned-array"),{WebGL2KernelValueDynamicUnsignedArray:L}=e("./kernel-value/dynamic-unsigned-array"),R={unsigned:{dynamic:{Boolean:r,Integer:s,Float:i,Array:L,"Array(2)":I,"Array(3)":D,"Array(4)":C,"Array1D(2)":!1,"Array1D(3)":!1,"Array1D(4)":!1,"Array2D(2)":!1,"Array2D(3)":!1,"Array2D(4)":!1,"Array3D(2)":!1,"Array3D(3)":!1,"Array3D(4)":!1,Input:f,NumberTexture:b,"ArrayTexture(1)":b,"ArrayTexture(2)":b,"ArrayTexture(3)":b,"ArrayTexture(4)":b,MemoryOptimizedNumberTexture:x,HTMLCanvas:o,OffscreenCanvas:o,HTMLImage:o,ImageBitmap:o,ImageData:o,HTMLImageArray:l,HTMLVideo:c},static:{Boolean:r,Float:i,Integer:s,Array:$,"Array(2)":I,"Array(3)":D,"Array(4)":C,"Array1D(2)":!1,"Array1D(3)":!1,"Array1D(4)":!1,"Array2D(2)":!1,"Array2D(3)":!1,"Array2D(4)":!1,"Array3D(2)":!1,"Array3D(3)":!1,"Array3D(4)":!1,Input:m,NumberTexture:y,"ArrayTexture(1)":y,"ArrayTexture(2)":y,"ArrayTexture(3)":y,"ArrayTexture(4)":y,MemoryOptimizedNumberTexture:x,HTMLCanvas:a,OffscreenCanvas:a,HTMLImage:a,ImageBitmap:a,ImageData:a,HTMLImageArray:u,HTMLVideo:h}},single:{dynamic:{Boolean:r,Integer:s,Float:i,Array:v,"Array(2)":I,"Array(3)":D,"Array(4)":C,"Array1D(2)":A,"Array1D(3)":A,"Array1D(4)":A,"Array2D(2)":E,"Array2D(3)":E,"Array2D(4)":E,"Array3D(2)":k,"Array3D(3)":k,"Array3D(4)":k,Input:d,NumberTexture:b,"ArrayTexture(1)":b,"ArrayTexture(2)":b,"ArrayTexture(3)":b,"ArrayTexture(4)":b,MemoryOptimizedNumberTexture:x,HTMLCanvas:o,OffscreenCanvas:o,HTMLImage:o,ImageBitmap:o,ImageData:o,HTMLImageArray:l,HTMLVideo:c},static:{Boolean:r,Float:i,Integer:s,Array:T,"Array(2)":I,"Array(3)":D,"Array(4)":C,"Array1D(2)":S,"Array1D(3)":S,"Array1D(4)":S,"Array2D(2)":_,"Array2D(3)":_,"Array2D(4)":_,"Array3D(2)":w,"Array3D(3)":w,"Array3D(4)":w,Input:p,NumberTexture:y,"ArrayTexture(1)":y,"ArrayTexture(2)":y,"ArrayTexture(3)":y,"ArrayTexture(4)":y,MemoryOptimizedNumberTexture:g,HTMLCanvas:a,OffscreenCanvas:a,HTMLImage:a,ImageBitmap:a,ImageData:a,HTMLImageArray:u,HTMLVideo:h}}};t.exports={kernelValueMaps:R,lookupKernelValueType:function(e,t,n,r){if(!e)throw new Error("type missing");if(!t)throw new Error("dynamic missing");if(!n)throw new Error("precision missing");r.type&&(e=r.type);const i=R[n][t];if(!1===i[e])return null;if(void 0===i[e])throw new Error(`Could not find a KernelValue for ${e}`);return i[e]}}},{"./kernel-value/array2":75,"./kernel-value/array3":76,"./kernel-value/array4":77,"./kernel-value/boolean":78,"./kernel-value/dynamic-html-image":80,"./kernel-value/dynamic-html-image-array":79,"./kernel-value/dynamic-html-video":81,"./kernel-value/dynamic-memory-optimized-number-texture":82,"./kernel-value/dynamic-number-texture":83,"./kernel-value/dynamic-single-array":84,"./kernel-value/dynamic-single-array1d-i":85,"./kernel-value/dynamic-single-array2d-i":86,"./kernel-value/dynamic-single-array3d-i":87,"./kernel-value/dynamic-single-input":88,"./kernel-value/dynamic-unsigned-array":89,"./kernel-value/dynamic-unsigned-input":90,"./kernel-value/float":91,"./kernel-value/html-image":93,"./kernel-value/html-image-array":92,"./kernel-value/html-video":94,"./kernel-value/integer":95,"./kernel-value/memory-optimized-number-texture":96,"./kernel-value/number-texture":97,"./kernel-value/single-array":98,"./kernel-value/single-array1d-i":99,"./kernel-value/single-array2d-i":100,"./kernel-value/single-array3d-i":101,"./kernel-value/single-input":102,"./kernel-value/unsigned-array":103,"./kernel-value/unsigned-input":104}],75:[function(e,t,n){const{WebGLKernelValueArray2:r}=e("../../web-gl/kernel-value/array2");t.exports={WebGL2KernelValueArray2:class extends r{}}},{"../../web-gl/kernel-value/array2":41}],76:[function(e,t,n){const{WebGLKernelValueArray3:r}=e("../../web-gl/kernel-value/array3");t.exports={WebGL2KernelValueArray3:class extends r{}}},{"../../web-gl/kernel-value/array3":42}],77:[function(e,t,n){const{WebGLKernelValueArray4:r}=e("../../web-gl/kernel-value/array4");t.exports={WebGL2KernelValueArray4:class extends r{}}},{"../../web-gl/kernel-value/array4":43}],78:[function(e,t,n){const{WebGLKernelValueBoolean:r}=e("../../web-gl/kernel-value/boolean");t.exports={WebGL2KernelValueBoolean:class extends r{}}},{"../../web-gl/kernel-value/boolean":44}],79:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGL2KernelValueHTMLImageArray:i}=e("./html-image-array");t.exports={WebGL2KernelValueDynamicHTMLImageArray:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2DArray ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}updateValue(e){const{width:t,height:n}=e[0];this.checkSize(t,n),this.dimensions=[t,n,e.length],this.textureSize=[t,n],this.kernel.setUniform3iv(this.dimensionsId,this.dimensions),this.kernel.setUniform2iv(this.sizeId,this.textureSize),super.updateValue(e)}}}},{"../../../utils":114,"./html-image-array":92}],80:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGLKernelValueDynamicHTMLImage:i}=e("../../web-gl/kernel-value/dynamic-html-image");t.exports={WebGL2KernelValueDynamicHTMLImage:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}}}},{"../../../utils":114,"../../web-gl/kernel-value/dynamic-html-image":45}],81:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGL2KernelValueDynamicHTMLImage:i}=e("./dynamic-html-image");t.exports={WebGL2KernelValueDynamicHTMLVideo:class extends i{}}},{"../../../utils":114,"./dynamic-html-image":80}],82:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGLKernelValueDynamicMemoryOptimizedNumberTexture:i}=e("../../web-gl/kernel-value/dynamic-memory-optimized-number-texture");t.exports={WebGL2KernelValueDynamicMemoryOptimizedNumberTexture:class extends i{getSource(){return r.linesToString([`uniform sampler2D ${this.id}`,`uniform ivec2 ${this.sizeId}`,`uniform ivec3 ${this.dimensionsId}`])}}}},{"../../../utils":114,"../../web-gl/kernel-value/dynamic-memory-optimized-number-texture":47}],83:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGLKernelValueDynamicNumberTexture:i}=e("../../web-gl/kernel-value/dynamic-number-texture");t.exports={WebGL2KernelValueDynamicNumberTexture:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}}}},{"../../../utils":114,"../../web-gl/kernel-value/dynamic-number-texture":48}],84:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGL2KernelValueSingleArray:i}=e("../../web-gl2/kernel-value/single-array");t.exports={WebGL2KernelValueDynamicSingleArray:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}updateValue(e){this.dimensions=r.getDimensions(e,!0),this.textureSize=r.getMemoryOptimizedFloatTextureSize(this.dimensions,this.bitRatio),this.uploadArrayLength=this.textureSize[0]*this.textureSize[1]*this.bitRatio,this.checkSize(this.textureSize[0],this.textureSize[1]),this.uploadValue=new Float32Array(this.uploadArrayLength),this.kernel.setUniform3iv(this.dimensionsId,this.dimensions),this.kernel.setUniform2iv(this.sizeId,this.textureSize),super.updateValue(e)}}}},{"../../../utils":114,"../../web-gl2/kernel-value/single-array":98}],85:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGL2KernelValueSingleArray1DI:i}=e("../../web-gl2/kernel-value/single-array1d-i");t.exports={WebGL2KernelValueDynamicSingleArray1DI:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}updateValue(e){this.setShape(e),this.kernel.setUniform3iv(this.dimensionsId,this.dimensions),this.kernel.setUniform2iv(this.sizeId,this.textureSize),super.updateValue(e)}}}},{"../../../utils":114,"../../web-gl2/kernel-value/single-array1d-i":99}],86:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGL2KernelValueSingleArray2DI:i}=e("../../web-gl2/kernel-value/single-array2d-i");t.exports={WebGL2KernelValueDynamicSingleArray2DI:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}updateValue(e){this.setShape(e),this.kernel.setUniform3iv(this.dimensionsId,this.dimensions),this.kernel.setUniform2iv(this.sizeId,this.textureSize),super.updateValue(e)}}}},{"../../../utils":114,"../../web-gl2/kernel-value/single-array2d-i":100}],87:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGL2KernelValueSingleArray3DI:i}=e("../../web-gl2/kernel-value/single-array3d-i");t.exports={WebGL2KernelValueDynamicSingleArray3DI:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}updateValue(e){this.setShape(e),this.kernel.setUniform3iv(this.dimensionsId,this.dimensions),this.kernel.setUniform2iv(this.sizeId,this.textureSize),super.updateValue(e)}}}},{"../../../utils":114,"../../web-gl2/kernel-value/single-array3d-i":101}],88:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGL2KernelValueSingleInput:i}=e("../../web-gl2/kernel-value/single-input");t.exports={WebGL2KernelValueDynamicSingleInput:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}updateValue(e){let[t,n,i]=e.size;this.dimensions=new Int32Array([t||1,n||1,i||1]),this.textureSize=r.getMemoryOptimizedFloatTextureSize(this.dimensions,this.bitRatio),this.uploadArrayLength=this.textureSize[0]*this.textureSize[1]*this.bitRatio,this.checkSize(this.textureSize[0],this.textureSize[1]),this.uploadValue=new Float32Array(this.uploadArrayLength),this.kernel.setUniform3iv(this.dimensionsId,this.dimensions),this.kernel.setUniform2iv(this.sizeId,this.textureSize),super.updateValue(e)}}}},{"../../../utils":114,"../../web-gl2/kernel-value/single-input":102}],89:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGLKernelValueDynamicUnsignedArray:i}=e("../../web-gl/kernel-value/dynamic-unsigned-array");t.exports={WebGL2KernelValueDynamicUnsignedArray:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}}}},{"../../../utils":114,"../../web-gl/kernel-value/dynamic-unsigned-array":54}],90:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGLKernelValueDynamicUnsignedInput:i}=e("../../web-gl/kernel-value/dynamic-unsigned-input");t.exports={WebGL2KernelValueDynamicUnsignedInput:class extends i{getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2D ${this.id}`,`uniform ${e} ivec2 ${this.sizeId}`,`uniform ${e} ivec3 ${this.dimensionsId}`])}}}},{"../../../utils":114,"../../web-gl/kernel-value/dynamic-unsigned-input":55}],91:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGLKernelValueFloat:i}=e("../../web-gl/kernel-value/float");t.exports={WebGL2KernelValueFloat:class extends i{}}},{"../../../utils":114,"../../web-gl/kernel-value/float":56}],92:[function(e,t,n){const{utils:r}=e("../../../utils"),{WebGLKernelArray:i}=e("../../web-gl/kernel-value/array");t.exports={WebGL2KernelValueHTMLImageArray:class extends i{constructor(e,t){super(e,t),this.checkSize(e[0].width,e[0].height),this.dimensions=[e[0].width,e[0].height,e.length],this.textureSize=[e[0].width,e[0].height]}defineTexture(){const{context:e}=this;e.activeTexture(this.contextHandle),e.bindTexture(e.TEXTURE_2D_ARRAY,this.texture),e.texParameteri(e.TEXTURE_2D_ARRAY,e.TEXTURE_MAG_FILTER,e.NEAREST),e.texParameteri(e.TEXTURE_2D_ARRAY,e.TEXTURE_MIN_FILTER,e.NEAREST)}getStringValueHandler(){return`const uploadValue_${this.name} = ${this.varName};\n`}getSource(){const e=this.getVariablePrecisionString();return r.linesToString([`uniform ${e} sampler2DArray ${this.id}`,`${e} ivec2 ${this.sizeId} = ivec2(${this.textureSize[0]}, ${this.textureSize[1]})`,`${e} ivec3 ${this.dimensionsId} = ivec3(${this.dimensions[0]}, ${this.dimensions[1]}, ${this.dimensions[2]})`])}updateValue(e){const{context:t}=this;t.activeTexture(this.contextHandle),t.bindTexture(t.TEXTURE_2D_ARRAY,this.texture),t.pixelStorei(t.UNPACK_FLIP_Y_WEBGL,!0),t.texImage3D(t.TEXTURE_2D_ARRAY,0,t.RGBA,e[0].width,e[0].height,e.length,0,t.RGBA,t.UNSIGNED_BYTE,null);for(let n=0;ni})}"undefined"!=typeof window&&s(window),"undefined"!=typeof self&&s(self),t.exports=r},{"./index":109}],108:[function(e,t,n){const{gpuMock:r}=e("gpu-mock.js"),{utils:i}=e("./utils"),{Kernel:s}=e("./backend/kernel"),{CPUKernel:a}=e("./backend/cpu/kernel"),{HeadlessGLKernel:o}=e("./backend/headless-gl/kernel"),{WebGL2Kernel:u}=e("./backend/web-gl2/kernel"),{WebGLKernel:l}=e("./backend/web-gl/kernel"),{kernelRunShortcut:h}=e("./kernel-run-shortcut"),c=[o,u,l],p=["gpu","cpu"],d={headlessgl:o,webgl2:u,webgl:l};let m=!0;function f(e){if(!e)return{};const t=Object.assign({},e);return e.hasOwnProperty("floatOutput")&&(i.warnDeprecated("setting","floatOutput","precision"),t.precision=e.floatOutput?"single":"unsigned"),e.hasOwnProperty("outputToTexture")&&(i.warnDeprecated("setting","outputToTexture","pipeline"),t.pipeline=Boolean(e.outputToTexture)),e.hasOwnProperty("outputImmutable")&&(i.warnDeprecated("setting","outputImmutable","immutable"),t.immutable=Boolean(e.outputImmutable)),e.hasOwnProperty("floatTextures")&&(i.warnDeprecated("setting","floatTextures","optimizeFloatMemory"),t.optimizeFloatMemory=Boolean(e.floatTextures)),t}t.exports={GPU:class{static disableValidation(){m=!1}static enableValidation(){m=!0}static get isGPUSupported(){return c.some((e=>e.isSupported))}static get isKernelMapSupported(){return c.some((e=>e.isSupported&&e.features.kernelMap))}static get isOffscreenCanvasSupported(){return"undefined"!=typeof Worker&&"undefined"!=typeof OffscreenCanvas||"undefined"!=typeof importScripts}static get isWebGLSupported(){return l.isSupported}static get isWebGL2Supported(){return u.isSupported}static get isHeadlessGLSupported(){return o.isSupported}static get isCanvasSupported(){return"undefined"!=typeof HTMLCanvasElement}static get isGPUHTMLImageArraySupported(){return u.isSupported}static get isSinglePrecisionSupported(){return c.some((e=>e.isSupported&&e.features.isFloatRead&&e.features.isTextureFloat))}constructor(e){if(e=e||{},this.canvas=e.canvas||null,this.context=e.context||null,this.mode=e.mode,this.Kernel=null,this.kernels=[],this.functions=[],this.nativeFunctions=[],this.injectedNative=null,"dev"!==this.mode){if(this.chooseKernel(),e.functions)for(let t=0;tt.argumentTypes[e])));const l=Object.assign({context:this.context,canvas:this.canvas,functions:this.functions,nativeFunctions:this.nativeFunctions,injectedNative:this.injectedNative,gpu:this,validate:m,onRequestFallback:u,onRequestSwitchKernel:function t(r,i,a){a.debug&&console.warn("Switching kernels");let o=null;if(a.signature&&!s[a.signature]&&(s[a.signature]=a),a.dynamicOutput)for(let e=r.length-1;e>=0;e--){const t=r[e];"outputPrecisionMismatch"===t.type&&(o=t.needed)}const l=a.constructor,h=l.getArgumentTypes(a,i),c=l.getSignature(a,h),d=s[c];if(d)return d.onActivate(a),d;const f=s[c]=new l(e,{argumentTypes:h,constantTypes:a.constantTypes,graphical:a.graphical,loopMaxIterations:a.loopMaxIterations,constants:a.constants,dynamicOutput:a.dynamicOutput,dynamicArgument:a.dynamicArguments,context:a.context,canvas:a.canvas,output:o||a.output,precision:a.precision,pipeline:a.pipeline,immutable:a.immutable,optimizeFloatMemory:a.optimizeFloatMemory,fixIntegerDivisionAccuracy:a.fixIntegerDivisionAccuracy,functions:a.functions,nativeFunctions:a.nativeFunctions,injectedNative:a.injectedNative,subKernels:a.subKernels,strictIntegers:a.strictIntegers,debug:a.debug,gpu:a.gpu,validate:m,returnType:a.returnType,tactic:a.tactic,onRequestFallback:u,onRequestSwitchKernel:t,texture:a.texture,mappedTextures:a.mappedTextures,drawBuffersMap:a.drawBuffersMap});return f.build.apply(f,i),p.replaceKernel(f),n.push(f),f}},o),c=new this.Kernel(e,l),p=h(c);return this.canvas||(this.canvas=c.canvas),this.context||(this.context=c.context),n.push(c),p}createKernelMap(){let e,t;const n=typeof arguments[arguments.length-2];if("function"===n||"string"===n?(e=arguments[arguments.length-2],t=arguments[arguments.length-1]):e=arguments[arguments.length-1],"dev"!==this.mode&&(!this.Kernel.isSupported||!this.Kernel.features.kernelMap)&&this.mode&&p.indexOf(this.mode)<0)throw new Error(`kernelMap not supported on ${this.Kernel.name}`);const r=f(t);if(t&&"object"==typeof t.argumentTypes&&(r.argumentTypes=Object.keys(t.argumentTypes).map((e=>t.argumentTypes[e]))),Array.isArray(arguments[0])){r.subKernels=[];const e=arguments[0];for(let t=0;t0)throw new Error('Cannot call "addNativeFunction" after "createKernels" has been called.');return this.nativeFunctions.push(Object.assign({name:e,source:t},n)),this}injectNative(e){return this.injectedNative=e,this}destroy(){return new Promise(((e,t)=>{this.kernels||e(),setTimeout((()=>{try{for(let e=0;et.kernel[i])),t.__defineSetter__(i,(e=>{t.kernel[i]=e}))))}t.kernel=e}t.exports={kernelRunShortcut:function(e){let t=function(){return e.build.apply(e,arguments),t=function(){let t=e.run.apply(e,arguments);if(e.switchingKernels){const r=e.resetSwitchingKernels(),i=e.onRequestSwitchKernel(r,arguments,e);n.kernel=e=i,t=i.run.apply(i,arguments)}return e.renderKernels?e.renderKernels():e.renderOutput?e.renderOutput():t},t.apply(e,arguments)};const n=function(){return t.apply(e,arguments)};return n.exec=function(){return new Promise(((e,n)=>{try{e(t.apply(this,arguments))}catch(e){n(e)}}))},n.replaceKernel=function(t){i(e=t,n)},i(e,n),n}}},{"./utils":114}],112:[function(e,t,n){const r={name:"math-random-uniformly-distributed",onBeforeRun:e=>{e.setUniform1f("randomSeed1",Math.random()),e.setUniform1f("randomSeed2",Math.random())},functionMatch:"Math.random()",functionReplace:"nrand(vTexCoord)",functionReturnType:"Number",source:"// https://www.shadertoy.com/view/4t2SDh\n//note: uniformly distributed, normalized rand, [0,1]\nhighp float randomSeedShift = 1.0;\nhighp float slide = 1.0;\nuniform highp float randomSeed1;\nuniform highp float randomSeed2;\n\nhighp float nrand(highp vec2 n) {\n highp float result = fract(sin(dot((n.xy + 1.0) * vec2(randomSeed1 * slide, randomSeed2 * randomSeedShift), vec2(12.9898, 78.233))) * 43758.5453);\n randomSeedShift = result;\n if (randomSeedShift > 0.5) {\n slide += 0.00009; \n } else {\n slide += 0.0009;\n }\n return result;\n}"};t.exports=r},{}],113:[function(e,t,n){t.exports={Texture:class{constructor(e){const{texture:t,size:n,dimensions:r,output:i,context:s,type:a="NumberTexture",kernel:o,internalFormat:u,textureFormat:l}=e;if(!i)throw new Error('settings property "output" required.');if(!s)throw new Error('settings property "context" required.');if(!t)throw new Error('settings property "texture" required.');if(!o)throw new Error('settings property "kernel" required.');this.texture=t,t._refs?t._refs++:t._refs=1,this.size=n,this.dimensions=r,this.output=i,this.context=s,this.kernel=o,this.type=a,this._deleted=!1,this.internalFormat=u,this.textureFormat=l}toArray(){throw new Error(`Not implemented on ${this.constructor.name}`)}clone(){throw new Error(`Not implemented on ${this.constructor.name}`)}delete(){throw new Error(`Not implemented on ${this.constructor.name}`)}clear(){throw new Error(`Not implemented on ${this.constructor.name}`)}}}},{}],114:[function(e,t,n){const r=e("acorn"),{Input:i}=e("./input"),{Texture:s}=e("./texture"),a=/function ([^(]*)/,o=/((\/\/.*$)|(\/\*[\s\S]*?\*\/))/gm,u=/([^\s,]+)/g,l={systemEndianness:()=>d,getSystemEndianness(){const e=new ArrayBuffer(4),t=new Uint32Array(e),n=new Uint8Array(e);if(t[0]=3735928559,239===n[0])return"LE";if(222===n[0])return"BE";throw new Error("unknown endianness")},isFunction:e=>"function"==typeof e,isFunctionString:e=>"string"==typeof e&&"function"===e.slice(0,"function".length).toLowerCase(),getFunctionNameFromString(e){const t=a.exec(e);return t&&0!==t.length?t[1].trim():null},getFunctionBodyFromString:e=>e.substring(e.indexOf("{")+1,e.lastIndexOf("}")),getArgumentNamesFromString(e){const t=e.replace(o,"");let n=t.slice(t.indexOf("(")+1,t.indexOf(")")).match(u);return null===n&&(n=[]),n},clone(e){if(null===e||"object"!=typeof e||e.hasOwnProperty("isActiveClone"))return e;const t=e.constructor();for(let n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e.isActiveClone=null,t[n]=l.clone(e[n]),delete e.isActiveClone);return t},isArray:e=>!isNaN(e.length),getVariableType(e,t){if(l.isArray(e))return e.length>0&&"IMG"===e[0].nodeName?"HTMLImageArray":"Array";switch(e.constructor){case Boolean:return"Boolean";case Number:return t&&Number.isInteger(e)?"Integer":"Float";case s:return e.type;case i:return"Input"}if("nodeName"in e)switch(e.nodeName){case"IMG":case"CANVAS":return"HTMLImage";case"VIDEO":return"HTMLVideo"}else{if(e.hasOwnProperty("type"))return e.type;if("undefined"!=typeof OffscreenCanvas&&e instanceof OffscreenCanvas)return"OffscreenCanvas";if("undefined"!=typeof ImageBitmap&&e instanceof ImageBitmap)return"ImageBitmap";if("undefined"!=typeof ImageData&&e instanceof ImageData)return"ImageData"}return"Unknown"},getKernelTextureSize(e,t){let[n,r,i]=t,s=(n||1)*(r||1)*(i||1);return e.optimizeFloatMemory&&"single"===e.precision&&(n=s=Math.ceil(s/4)),r>1&&n*r===s?new Int32Array([n,r]):l.closestSquareDimensions(s)},closestSquareDimensions(e){const t=Math.sqrt(e);let n=Math.ceil(t),r=Math.floor(t);for(;n*rMath.floor((e+t-1)/t)*t,getDimensions(e,t){let n;if(l.isArray(e)){const t=[];let r=e;for(;l.isArray(r);)t.push(r.length),r=r[0];n=t.reverse()}else if(e instanceof s)n=e.output;else{if(!(e instanceof i))throw new Error(`Unknown dimensions of ${e}`);n=e.size}if(t)for(n=Array.from(n);n.length<3;)n.push(1);return new Int32Array(n)},flatten2dArrayTo(e,t){let n=0;for(let r=0;re.length>0?e.join(";\n")+";\n":"\n",warnDeprecated(e,t,n){n?console.warn(`You are using a deprecated ${e} "${t}". It has been replaced with "${n}". Fixing, but please upgrade as it will soon be removed.`):console.warn(`You are using a deprecated ${e} "${t}". It has been removed. Fixing, but please upgrade as it will soon be removed.`)},flipPixels:(e,t,n)=>{const r=n/2|0,i=4*t,s=new Uint8ClampedArray(4*t),a=e.slice(0);for(let e=0;ee.subarray(0,t),erect2DPackedFloat:(e,t,n)=>{const r=new Array(n);for(let i=0;i{const i=new Array(r);for(let s=0;se.subarray(0,t),erectMemoryOptimized2DFloat:(e,t,n)=>{const r=new Array(n);for(let i=0;i{const i=new Array(r);for(let s=0;s{const n=new Float32Array(t);let r=0;for(let i=0;i{const r=new Array(n);let i=0;for(let s=0;s{const i=new Array(r);let s=0;for(let a=0;a{const n=new Array(t),r=4*t;let i=0;for(let t=0;t{const r=new Array(n),i=4*t;for(let s=0;s{const i=4*t,s=new Array(r);for(let a=0;a{const n=new Array(t),r=4*t;let i=0;for(let t=0;t{const r=4*t,i=new Array(n);for(let s=0;s{const i=4*t,s=new Array(r);for(let a=0;a{const n=new Array(e),r=4*t;let i=0;for(let t=0;t{const r=4*t,i=new Array(n);for(let s=0;s{const i=4*t,s=new Array(r);for(let a=0;a{const{findDependency:n,thisLookup:i,doNotDefine:s}=t;let a=t.flattened;a||(a=t.flattened={});const o=r.parse(e),u=[];let h=0;const c=function e(t){if(Array.isArray(t)){const n=[];for(let r=0;rnull!==e));return r.length<1?"":`${t.kind} ${r.join(",")}`;case"VariableDeclarator":if(t.init.object&&"ThisExpression"===t.init.object.type){return i(t.init.property.name,!0)?`${t.id.name} = ${e(t.init)}`:null}return`${t.id.name} = ${e(t.init)}`;case"CallExpression":if("subarray"===t.callee.property.name)return`${e(t.callee.object)}.${e(t.callee.property)}(${t.arguments.map((t=>e(t))).join(", ")})`;if("gl"===t.callee.object.name||"context"===t.callee.object.name)return`${e(t.callee.object)}.${e(t.callee.property)}(${t.arguments.map((t=>e(t))).join(", ")})`;if("ThisExpression"===t.callee.object.type)return u.push(n("this",t.callee.property.name)),`${t.callee.property.name}(${t.arguments.map((t=>e(t))).join(", ")})`;if(t.callee.object.name){const r=n(t.callee.object.name,t.callee.property.name);return null===r?`${t.callee.object.name}.${t.callee.property.name}(${t.arguments.map((t=>e(t))).join(", ")})`:(u.push(r),`${t.callee.property.name}(${t.arguments.map((t=>e(t))).join(", ")})`)}if("MemberExpression"===t.callee.object.type)return`${e(t.callee.object)}.${t.callee.property.name}(${t.arguments.map((t=>e(t))).join(", ")})`;throw new Error("unknown ast.callee");case"ReturnStatement":return`return ${e(t.argument)}`;case"BinaryExpression":return`(${e(t.left)}${t.operator}${e(t.right)})`;case"UnaryExpression":return t.prefix?`${t.operator} ${e(t.argument)}`:`${e(t.argument)} ${t.operator}`;case"ExpressionStatement":return`${e(t.expression)}`;case"SequenceExpression":return`(${e(t.expressions)})`;case"ArrowFunctionExpression":return`(${t.params.map(e).join(", ")}) => ${e(t.body)}`;case"Literal":return t.raw;case"Identifier":return t.name;case"MemberExpression":return"ThisExpression"===t.object.type?i(t.property.name):t.computed?`${e(t.object)}[${e(t.property)}]`:e(t.object)+"."+e(t.property);case"ThisExpression":return"this";case"NewExpression":return`new ${e(t.callee)}(${t.arguments.map((t=>e(t))).join(", ")})`;case"ForStatement":return`for (${e(t.init)};${e(t.test)};${e(t.update)}) ${e(t.body)}`;case"AssignmentExpression":return`${e(t.left)}${t.operator}${e(t.right)}`;case"UpdateExpression":return`${e(t.argument)}${t.operator}`;case"IfStatement":return`if (${e(t.test)}) ${e(t.consequent)}`;case"ThrowStatement":return`throw ${e(t.argument)}`;case"ObjectPattern":return t.properties.map(e).join(", ");case"ArrayPattern":return t.elements.map(e).join(", ");case"DebuggerStatement":return"debugger;";case"ConditionalExpression":return`${e(t.test)}?${e(t.consequent)}:${e(t.alternate)}`;case"Property":if("init"===t.kind)return e(t.key)}throw new Error(`unhandled ast.type of ${t.type}`)}(o);if(u.length>0){const e=[];for(let n=0;n{if("VariableDeclaration"!==e.type)throw new Error('Ast is not of type "VariableDeclaration"');const t=[];for(let n=0;n{const n=e.createKernel((function(e){return 255*e[this.thread.y][this.thread.x].r}),{output:[t.width,t.height],precision:"unsigned",argumentTypes:{a:"HTMLImage"}}),r=e.createKernel((function(e){return 255*e[this.thread.y][this.thread.x].g}),{output:[t.width,t.height],precision:"unsigned",argumentTypes:{a:"HTMLImage"}}),i=e.createKernel((function(e){return 255*e[this.thread.y][this.thread.x].b}),{output:[t.width,t.height],precision:"unsigned",argumentTypes:{a:"HTMLImage"}}),s=e.createKernel((function(e){return 255*e[this.thread.y][this.thread.x].a}),{output:[t.width,t.height],precision:"unsigned",argumentTypes:{a:"HTMLImage"}}),a=[n(t),r(t),i(t),s(t)];return a.rKernel=n,a.gKernel=r,a.bKernel=i,a.aKernel=s,a.gpu=e,a},splitRGBAToCanvases:(e,t,n,r)=>{const i=e.createKernel((function(e){const t=e[this.thread.y][this.thread.x];this.color(t.r/255,0,0,255)}),{output:[n,r],graphical:!0,argumentTypes:{v:"Array2D(4)"}});i(t);const s=e.createKernel((function(e){const t=e[this.thread.y][this.thread.x];this.color(0,t.g/255,0,255)}),{output:[n,r],graphical:!0,argumentTypes:{v:"Array2D(4)"}});s(t);const a=e.createKernel((function(e){const t=e[this.thread.y][this.thread.x];this.color(0,0,t.b/255,255)}),{output:[n,r],graphical:!0,argumentTypes:{v:"Array2D(4)"}});a(t);const o=e.createKernel((function(e){const t=e[this.thread.y][this.thread.x];this.color(255,255,255,t.a/255)}),{output:[n,r],graphical:!0,argumentTypes:{v:"Array2D(4)"}});return o(t),[i.canvas,s.canvas,a.canvas,o.canvas]},getMinifySafeName:e=>{try{const t=r.parse(`const value = ${e.toString()}`),{init:n}=t.body[0].declarations[0];return n.body.name||n.body.body[0].argument.name}catch(e){throw new Error("Unrecognized function type. Please use `() => yourFunctionVariableHere` or function() { return yourFunctionVariableHere; }")}},sanitizeName:function(e){return h.test(e)&&(e=e.replace(h,"S_S")),c.test(e)?e=e.replace(c,"U_U"):p.test(e)&&(e=e.replace(p,"u_u")),e}},h=/\$/,c=/__/,p=/_/,d=l.getSystemEndianness();t.exports={utils:l}},{"./input":110,"./texture":113,acorn:1}]},{},[107])(107)})); \ No newline at end of file diff --git a/assets/demo/index.mjs b/assets/demo/index.js similarity index 90% rename from assets/demo/index.mjs rename to assets/demo/index.js index e733f6e..7d1470f 100755 --- a/assets/demo/index.mjs +++ b/assets/demo/index.js @@ -1,3 +1,5 @@ +const fs = require('fs'); + function getShape(data, shape = []) { if (data instanceof Array && data.length === 0) { return [0]; @@ -63,12 +65,17 @@ class Tensor { visited = false; m; v; + device; + forwardKernel; + backwardKernelA; + backwardKernelB; /** * Creates new instance of the Tensor class. * @param {object} data - Iterable containing the data to be stored in the Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". */ - constructor(data, requires_grad = false) { + constructor(data, requires_grad = false, device = "cpu") { if (typeof data === "object") { this._data = data; } else if (typeof data === "number") { @@ -77,7 +84,9 @@ class Tensor { throw Error('Your argument "data" is not a number or an iterable.'); } this.shape = getShape(data); + this.device = device; this.requires_grad = requires_grad; + this.forwardKernel = null; if (this.requires_grad) { this._grad = zeros(this.shape); } @@ -133,6 +142,15 @@ class Tensor { } } } + /** + * Sends this Tensor to the provided device. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". + * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - gpu or cpu: device to store Tensor. + */ + to(device) { + this.device = device; + } /** * Reset this Tensor's gradients to zero. */ @@ -253,6 +271,44 @@ class Tensor { */ matmul(other) { const operation = new MatMul(); + let device; + if (this.device === "gpu" || other.device === "gpu") { + device = "gpu"; + } else { + device = "cpu"; + } + if (other.forwardKernel === null) { + if (device === "gpu") { + const gpu = new GPU.GPU(); + const kernelFunc = function(a, b, len) { + let sum2 = 0; + for (let i = 0; i < len; i++) { + sum2 += a[this.thread.y][i] * b[i][this.thread.x]; + } + return sum2; + }; + other.forwardKernel = gpu.createKernel(kernelFunc, { loopMaxIterations: other.shape.at(-2) }).setOutput([other.shape.at(-1), this.shape.at(-2)]); + other.backwardKernelA = gpu.createKernel(kernelFunc, { loopMaxIterations: other.shape.at(-1) }).setOutput([this.shape.at(-1), this.shape.at(-2)]); + other.backwardKernelB = gpu.createKernel(kernelFunc, { loopMaxIterations: this.shape.at(-2) }).setOutput([other.shape.at(-1), other.shape.at(-2)]); + } else { + const kernelFunc = function(a, b, len) { + const out = Array(a.length).fill(0).map(() => Array(b[0].length).fill(0)); + for (let i = 0; i < a.length; i++) { + for (let j = 0; j < b[0].length; j++) { + let currentIndex = 0; + for (let k = 0; k < len; k++) { + currentIndex += a[i][k] * b[k][j]; + } + out[i][j] = currentIndex; + } + } + return out; + }; + other.forwardKernel = kernelFunc; + other.backwardKernelA = kernelFunc; + other.backwardKernelB = kernelFunc; + } + } return operation.forward(this, other); } /** @@ -515,6 +571,8 @@ class Div { } class MatMul { cache; + kernelFunc; + thread; forward(a, b) { this.cache = [a, b]; let aData = a.data; @@ -525,7 +583,7 @@ class MatMul { bData = broadcastUp(bData, aData); } const z = new Tensor( - _matmul(aData, bData), + _matmul(aData, bData, b.forwardKernel), // data; requiresGrad(a) || requiresGrad(b) // requires_grad; @@ -547,7 +605,7 @@ class MatMul { const dzData = dz.data; let b_T = _transpose(b.data, b.ndims - 2); b_T = broadcastUp(b_T, dzData); - let da = new Tensor(_matmul(dzData, b_T)); + let da = new Tensor(_matmul(dzData, b_T, b.backwardKernelA)); da = broadcast(da, a); a.backward(da, z); } @@ -555,7 +613,7 @@ class MatMul { const dzData = dz.data; let a_T = _transpose(a.data, a.ndims - 2); a_T = broadcastUp(a_T, dzData); - let db = new Tensor(_matmul(a_T, dzData)); + let db = new Tensor(_matmul(a_T, dzData, b.backwardKernelB)); db = broadcast(db, b); b.backward(db, z); } @@ -1181,26 +1239,18 @@ function _div(a, b) { } } } -function _matmul(a, b) { +function _matmul(a, b, kernel) { if (typeof a === "number") { throw new Error("Cannot perform MatMul with given shapes."); } if (typeof a[0][0] === "object") { return a.map( - (element, idx) => _matmul(element, b[idx]) + (element, idx) => _matmul(element, b[idx], kernel) ); } else { if (a[0].length === b.length && typeof a[0][0] === "number") { - const out = Array(a.length).fill(0).map(() => Array(b[0].length).fill(0)); - for (let i = 0; i < a.length; i++) { - for (let j = 0; j < b[0].length; j++) { - let currentIndex = 0; - for (let k = 0; k < b.length; k++) { - currentIndex += a[i][k] * b[k][j]; - } - out[i][j] = currentIndex; - } - } + let out = kernel(a, b, b.length); + out = out.map((el) => Array.from(el)); return out; } else { throw Error( @@ -1287,17 +1337,24 @@ function _masked_fill(a, mask, condition, value) { } } function _reshape(a, shape) { - function _build(a2, shape2) { + if (getShape(a).reduce((a2, b) => a2 * b, 1) != shape.reduce((a2, b) => a2 * b, 1)) { + throw new Error("Attempting to reshape into invalid shape."); + } + function _build(a2, shape2, idx, numberOfEls) { if (shape2.length > 1) { const emptyArray = Array(shape2[0]).fill(0); - return emptyArray.map(() => _build(a2, shape2.slice(1))); + let offSet = idx; + numberOfEls = numberOfEls / shape2[0]; + const myArray = emptyArray.map((_, idx2) => _build(a2, shape2.slice(1), offSet + idx2 * numberOfEls, numberOfEls)); + return myArray; } else { - const emptyArray = Array(shape2[0]).fill(0); - return emptyArray.map(() => a2.shift()); + const myArray = a2.slice(idx, idx + numberOfEls); + return myArray; } } const flat = a.flat(Infinity); - return _build(flat, shape); + const built = _build(flat, shape, 0, flat.length); + return built; } function _tensorInitializer(shape, valueFunc) { if (shape.length === 1) { @@ -1309,22 +1366,24 @@ function _tensorInitializer(shape, valueFunc) { return emptyArray.map(() => _tensorInitializer(shape.slice(1), valueFunc)); } } -function tensor(data, requires_grad = false) { - return new Tensor(data, requires_grad); +function tensor(data, requires_grad = false, device = "cpu") { + return new Tensor(data, requires_grad, device); } -function zeros(shape, requires_grad = false) { +function zeros(shape, requires_grad = false, device = "cpu") { return new Tensor( _tensorInitializer(shape, () => 0), - requires_grad + requires_grad, + device ); } -function ones(shape, requires_grad = false) { +function ones(shape, requires_grad = false, device = "cpu") { return new Tensor( _tensorInitializer(shape, () => 1), - requires_grad + requires_grad, + device ); } -function tril(shape, requires_grad = false) { +function tril(shape, requires_grad = false, device = "cpu") { const z = ones(shape, requires_grad); for (let i = 0; i < shape[0]; i++) { for (let j = 0; j < shape[0]; j++) { @@ -1333,19 +1392,20 @@ function tril(shape, requires_grad = false) { } } } - return new Tensor(z._data, requires_grad); + return new Tensor(z._data, requires_grad, device); } -function rand(shape, requires_grad = false) { +function rand(shape, requires_grad = false, device = "cpu") { return new Tensor( _tensorInitializer(shape, () => Math.random()), - requires_grad + requires_grad, + device ); } -function randn(shape, requires_grad = false, xavier = false) { +function randn(shape, requires_grad = false, xavier = false, device = "cpu") { return new Tensor( _tensorInitializer(shape, () => { - const mean2 = Math.random() + 1e-5; - const variance2 = Math.random() + 1e-5; + const mean2 = Math.random() * 0.98 + 1e-3; + const variance2 = Math.random() * 0.98 + 1e-3; const num = Math.sqrt(-2 * Math.log(mean2)) * Math.cos(2 * Math.PI * variance2); if (xavier) { return num / Math.sqrt(shape[0]); @@ -1353,7 +1413,8 @@ function randn(shape, requires_grad = false, xavier = false) { return num; } }), - requires_grad + requires_grad, + device ); } function randint(low = 0, high = 1, shape = [1], requires_grad = false) { @@ -1522,9 +1583,10 @@ class Linear extends Module { W; b; has_bias; - constructor(in_size, out_size, bias = true, xavier = true) { + constructor(in_size, out_size, device = "cpu", bias = true, xavier = true) { super(); this.W = randn([in_size, out_size], true, xavier); + this.W.device = device; this.b = zeros([out_size], true); this.has_bias = bias; } @@ -1551,12 +1613,12 @@ class MultiHeadSelfAttention extends Module { residual_dropout; softmax; H; - constructor(in_size, out_size, n_heads, n_timesteps, dropout_prob = 0) { + constructor(in_size, out_size, n_heads, n_timesteps, dropout_prob = 0, device = "cpu") { super(); - this.Wk = new Linear(in_size, in_size, false, true); - this.Wq = new Linear(in_size, in_size, false, true); - this.Wv = new Linear(in_size, in_size, false, true); - this.residual_proj = new Linear(in_size, out_size, false, true); + this.Wk = new Linear(in_size, in_size, device, true, false); + this.Wq = new Linear(in_size, in_size, device, true, false); + this.Wv = new Linear(in_size, in_size, device, true, false); + this.residual_proj = new Linear(in_size, out_size, device, true, false); this.mask = tril([n_timesteps, n_timesteps], false); this.att_dropout = new Dropout(dropout_prob); this.residual_dropout = new Dropout(dropout_prob); @@ -1583,7 +1645,7 @@ class MultiHeadSelfAttention extends Module { v = v.reshape([B, T, nh, H]).transpose(1, 2); const kT = k.transpose(-2, -1); let att = q.matmul(kT); - att = att.div(H ** 0.5); + att = att.div(H ** 2); const mask = broadcast(this.mask, att); att = att.masked_fill(mask, (el) => el === 0, -Infinity); att = this.softmax.forward(att, -1); @@ -1600,9 +1662,9 @@ class FullyConnected extends Module { relu; l2; dropout; - constructor(in_size, out_size, dropout_prob = 0) { + constructor(in_size, out_size, dropout_prob = 0, device = "cpu", bias = true) { super(); - this.l1 = new Linear(in_size, in_size * 2); + this.l1 = new Linear(in_size, in_size * 2, device, true, bias); this.relu = new ReLU(); this.l2 = new Linear(in_size * 2, out_size); this.dropout = new Dropout(dropout_prob); @@ -1625,17 +1687,18 @@ class Block extends Module { ln1; fcc; ln2; - constructor(in_size, out_size, n_heads, n_timesteps, dropout_prob = 0) { + constructor(in_size, out_size, n_heads, n_timesteps, dropout_prob = 0, device = "cpu") { super(); this.att = new MultiHeadSelfAttention( in_size, in_size, n_heads, n_timesteps, - dropout_prob + dropout_prob, + device ); this.ln1 = new LayerNorm(in_size); - this.fcc = new FullyConnected(in_size, out_size, dropout_prob); + this.fcc = new FullyConnected(in_size, out_size, dropout_prob, device, true); this.ln2 = new LayerNorm(out_size); } /** @@ -1799,6 +1862,27 @@ class CrossEntropyLoss extends Module { return loss; } } +function save(model, file) { + const data = JSON.stringify(model); + fs.writeFileSync(file, data); +} +function load(model, file) { + const loadedData = fs.readFileSync(file); + let loadedModel = JSON.parse(loadedData.toString()); + loadParameters(loadedModel, model); + return model; +} +function loadParameters(source, target) { + for (const [key, value] of target.entries()) { + if (value instanceof Module) { + loadParameters(source[key], target[key]); + } else if (value instanceof Parameter || value instanceof Tensor) { + target[key]._data = source[key]._data; + target[key].m = source[key].m; + target[key].v = source[key].v; + } + } +} class Adam { // Declare Adam's types: @@ -1888,9 +1972,12 @@ const torch = { ones, zeros, broadcast, + save, + load, // Add submodules: nn, - optim + optim, + getShape }; export { torch }; diff --git a/assets/demo_logo.png b/assets/demo_logo.png new file mode 100644 index 0000000..e7e48d4 Binary files /dev/null and b/assets/demo_logo.png differ diff --git a/package-lock.json b/package-lock.json index 465a50d..31e86b5 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,6 +8,9 @@ "name": "js-pytorch", "version": "0.3.6", "license": "MIT", + "dependencies": { + "gpu.js": "1.10.4" + }, "devDependencies": { "@babel/core": "^7.24.3", "@babel/preset-env": "^7.24.3", @@ -5199,6 +5202,27 @@ "node": ">=8" } }, + "node_modules/gpu.js": { + "version": "1.10.4", + "resolved": "https://registry.npmjs.org/gpu.js/-/gpu.js-1.10.4.tgz", + "integrity": "sha512-qh5O1LXwwkhGOpEicR9SnQB7xduUDY5rKGPWj9yOFLNI90bX+mReooGQjnL3iZ08btBOT0zQGu9wKA+gGy2BhQ==", + "license": "MIT", + "dependencies": { + "acorn": "^5.1.1" + } + }, + "node_modules/gpu.js/node_modules/acorn": { + "version": "5.7.4", + "resolved": "https://registry.npmjs.org/acorn/-/acorn-5.7.4.tgz", + "integrity": "sha512-1D++VG7BhrtvQpNbBzovKNc1FLGGEE/oGe7b9xJm/RFHMBeUaUGpluV9RLjZa47YFdPcDAenEYuq9pQPcMdLJg==", + "license": "MIT", + "bin": { + "acorn": "bin/acorn" + }, + "engines": { + "node": ">=0.4.0" + } + }, "node_modules/graceful-fs": { "version": "4.2.11", "resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz", diff --git a/package.json b/package.json index 30362ec..49e3143 100644 --- a/package.json +++ b/package.json @@ -55,6 +55,9 @@ "url": "https://github.com/eduardoleao052/js-torch/issues" }, "homepage": "https://github.com/eduardoleao052/js-torch#readme", + "dependencies": { + "gpu.js": "1.10.4" + }, "devDependencies": { "@babel/core": "^7.24.3", "@babel/preset-env": "^7.24.3", diff --git a/src/index.ts b/src/index.ts index f3f5ce7..8deddfa 100644 --- a/src/index.ts +++ b/src/index.ts @@ -38,7 +38,9 @@ import { Softmax, Dropout, LayerNorm, - CrossEntropyLoss + CrossEntropyLoss, + save, + load } from "./layers.js"; import { Adam } from "./optim.js"; import { getShape } from "./utils.js"; @@ -88,6 +90,8 @@ export const torch = { ones, zeros, broadcast, + save, + load, // Add submodules: nn, optim, diff --git a/src/layers.ts b/src/layers.ts index 4bf4f2e..b3edd24 100644 --- a/src/layers.ts +++ b/src/layers.ts @@ -14,6 +14,8 @@ log, _reshape } from "./tensor"; +import fs from 'fs'; + // Interface that contains all the types of Module's attributes: interface ModuleInterface { @@ -95,6 +97,7 @@ export class Module implements ModuleInterface { * * @param {number} in_size - size of the last dimention of the input array. * @param {number} out_size - size of the last dimention of the output array. + * @param {string} device - Device to perform Tensor operations. Either "gpu" or "cpu". * @param {boolean} bias - wether to include a bias term. * @param {boolean} xavier - Wether to use xavier initialization (divide by square root of first input dimension). */ @@ -103,9 +106,10 @@ export class Linear extends Module { public b: Tensor; public has_bias: boolean; - constructor(in_size: number, out_size: number, bias = true, xavier = true) { + constructor(in_size: number, out_size: number, device = 'cpu', bias = true, xavier = true) { super(); this.W = randn([in_size, out_size], true, xavier); + this.W.device = device; this.b = zeros([out_size], true); this.has_bias = bias; } @@ -132,6 +136,7 @@ export class Linear extends Module { * @param {number} n_heads - number of parallel heads to be computed (must equally divide in_size). * @param {number} n_timesteps - length of text sequence to be processed bt Transformer. * @param {number} dropout_prob - probability of zeroing each activation in dropout Layer. + * @param {string} device - Device to perform Tensor operations. Either "gpu" or "cpu". */ export class MultiHeadSelfAttention extends Module { public Wk: Linear; @@ -149,13 +154,14 @@ export class MultiHeadSelfAttention extends Module { out_size: number, n_heads: number, n_timesteps: number, - dropout_prob = 0 + dropout_prob = 0, + device = 'cpu' ) { super(); - this.Wk = new Linear(in_size, in_size, false, true); - this.Wq = new Linear(in_size, in_size, false, true); - this.Wv = new Linear(in_size, in_size, false, true); - this.residual_proj = new Linear(in_size, out_size, false, true); + this.Wk = new Linear(in_size, in_size, device, true, false); + this.Wq = new Linear(in_size, in_size, device, true, false); + this.Wv = new Linear(in_size, in_size, device, true, false); + this.residual_proj = new Linear(in_size, out_size, device, true, false); this.mask = tril([n_timesteps, n_timesteps], false); this.att_dropout = new Dropout(dropout_prob); this.residual_dropout = new Dropout(dropout_prob); @@ -193,7 +199,7 @@ export class MultiHeadSelfAttention extends Module { let att = q.matmul(kT); // (B, nh, T, H) @ (B, nh, H, T) -> (B, nh, T, T) // Reduce module before going into softmax: - att = att.div(H ** 0.5); + att = att.div(H ** 2); // Apply mask (to block out future characters), softmax, and dropout: const mask = broadcast(this.mask, att); @@ -221,6 +227,8 @@ export class MultiHeadSelfAttention extends Module { * @param {number} in_size - size of the last dimention of the input array. * @param {number} out_size - size of the last dimention of the output array. * @param {number} dropout_prob - probability of zeroing each activation in dropout Layer. + * @param {string} device - Device to perform Tensor operations. Either "gpu" or "cpu". + * @param {boolean} bias - wether to include a bias term. */ export class FullyConnected extends Module { public l1: Linear; @@ -228,10 +236,10 @@ export class FullyConnected extends Module { public l2: Linear; public dropout: Dropout; - constructor(in_size: number, out_size: number, dropout_prob = 0) { + constructor(in_size: number, out_size: number, dropout_prob = 0, device: string = 'cpu', bias: boolean = true) { super(); - this.l1 = new Linear(in_size, in_size * 2); + this.l1 = new Linear(in_size, in_size * 2, device, true, bias); this.relu = new ReLU(); this.l2 = new Linear(in_size * 2, out_size); this.dropout = new Dropout(dropout_prob); @@ -259,6 +267,7 @@ export class FullyConnected extends Module { * @param {number} n_heads - number of parallel heads to be computed (must equally divide in_size). * @param {number} n_timesteps - length of text sequence to be processed bt Transformer. * @param {number} dropout_prob - probability of zeroing each activation in dropout Layer. + * @param {string} device - Device to perform Tensor operations. Either "gpu" or "cpu". */ export class Block extends Module { public att: MultiHeadSelfAttention; @@ -271,7 +280,8 @@ export class Block extends Module { out_size: number, n_heads: number, n_timesteps: number, - dropout_prob = 0 + dropout_prob = 0, + device = 'cpu' ) { super(); this.att = new MultiHeadSelfAttention( @@ -279,10 +289,11 @@ export class Block extends Module { in_size, n_heads, n_timesteps, - dropout_prob + dropout_prob, + device ); this.ln1 = new LayerNorm(in_size); - this.fcc = new FullyConnected(in_size, out_size, dropout_prob); + this.fcc = new FullyConnected(in_size, out_size, dropout_prob, device, true); this.ln2 = new LayerNorm(out_size); } @@ -529,3 +540,40 @@ export class CrossEntropyLoss extends Module { return loss; } } + +/** + * Saves the model to a JSON file. + * @param {Module} model - Model to be saved in JSON file. + * @param {string} file - JSON file. + */ +export function save(model: Module, file: string) { + const data = JSON.stringify(model); + fs.writeFileSync(file, data); +} + +/** + * Loads a model from a JSON file. + * @param {Module} model - Blank model to load weights into (placeholder). Needs to be identical to model. + * @param {string} file - JSON file. + * @returns {Module} loadedModel - Model to be loaded from JSON file. + */ +export function load(model: Module, file: string): Module { + const loadedData = fs.readFileSync(file); + let loadedModel = JSON.parse(loadedData.toString()); + loadParameters(loadedModel, model) + return model; +} + +function loadParameters(source: Module, target: Module) { + for (const [key, value] of target.entries()) { + // Add every Module, Parameter or Tensor with requires_grad set to True: + if (value instanceof Module) { + loadParameters(source[key], target[key]); + } else if (value instanceof Parameter || value instanceof Tensor) { + target[key]._data = source[key]._data; + target[key].m = source[key].m; + target[key].v = source[key].v; + + } + } +} \ No newline at end of file diff --git a/src/tensor.ts b/src/tensor.ts index c6fa690..3120ec9 100644 --- a/src/tensor.ts +++ b/src/tensor.ts @@ -1,4 +1,5 @@ -import { getShape, getData, assureArray } from "./utils"; +const GPU = require('gpu.js'); +import { getShape, getData, assureArray } from "./utils"; // <<< Tensor class, holds n-dimensional tensors, and multiple useful methods >>> // @@ -13,13 +14,18 @@ export class Tensor { public visited: boolean = false; public m!: Tensor; public v!: Tensor; + public device: string; + public forwardKernel: any; + public backwardKernelA: any; + public backwardKernelB: any; /** * Creates new instance of the Tensor class. * @param {object} data - Iterable containing the data to be stored in the Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". */ - constructor(data: Array | number, requires_grad = false) { + constructor(data: Array | number, requires_grad = false, device = 'cpu') { if (typeof data === "object") { this._data = data; } else if (typeof data === "number") { @@ -28,7 +34,9 @@ export class Tensor { throw Error('Your argument "data" is not a number or an iterable.'); } this.shape = getShape(data); + this.device = device; this.requires_grad = requires_grad; + this.forwardKernel = null; // Initialize momentum and velocity cumulatives for every parameter: if (this.requires_grad) { @@ -104,6 +112,16 @@ export class Tensor { } } + /** + * Sends this Tensor to the provided device. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". + * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - gpu or cpu: device to store Tensor. + */ + to(device: string) { + this.device = device; + } + /** * Reset this Tensor's gradients to zero. */ @@ -235,6 +253,42 @@ export class Tensor { */ matmul(other: Tensor): Tensor { const operation = new MatMul(); + let device: string; + if (this.device === 'gpu' || other.device === 'gpu') { device = 'gpu' } else { device = 'cpu' }; + if (other.forwardKernel === null) { + if (device === 'gpu') { + const gpu = new GPU(); + const kernelFunc = function(this: any, a: number[][], b: number[][], len: number): number { + let sum = 0; + for (let i = 0; i < len; i++) { + sum += a[this.thread.y][i] * b[i][this.thread.x]; + } + return sum; + } + other.forwardKernel = gpu.createKernel(kernelFunc, { loopMaxIterations: other.shape.at(-2) }).setOutput([other.shape.at(-1), this.shape.at(-2)]); + other.backwardKernelA = gpu.createKernel(kernelFunc, { loopMaxIterations: other.shape.at(-1) }).setOutput([this.shape.at(-1), this.shape.at(-2)]); + other.backwardKernelB = gpu.createKernel(kernelFunc, { loopMaxIterations: this.shape.at(-2) }).setOutput([other.shape.at(-1), other.shape.at(-2)]); + + } else { + const kernelFunc = function (a: number[][], b: number[][], len: number) { + const out = Array(a.length).fill(0).map(() => Array(b[0].length).fill(0)); + for (let i = 0; i < a.length; i++) { + for (let j = 0; j < b[0].length; j++) { + let currentIndex = 0; + for (let k = 0; k < len; k++) { + currentIndex += a[i][k] * b[k][j]; + } + out[i][j] = currentIndex; + } + } + return out; + } + other.forwardKernel = kernelFunc; + other.backwardKernelA = kernelFunc; + other.backwardKernelB = kernelFunc; + + } + } return operation.forward(this, other); } @@ -576,29 +630,29 @@ export class Div { } } -export class MatMul { +class MatMul { cache: any; - - forward(a: Tensor, b: Tensor): Tensor { - // Build cache to use in backward step: + kernelFunc: any; + thread: any; + forward(a: Tensor, b: Tensor) { this.cache = [a, b]; - let aData = a.data; let bData = b.data; - // Broadcast smaller tensor to match size of larger: + // ESCOLHER UMA DAS DUAS SEGUINTES, UMA É PADRÃO, OUTRA COM GPU. TEM Q TER UM IF. + // ACHO QUE SÓ PRECISA INSTANCIAR KERNEL NO FORWARD. A PARTE nÂO'GPU TALVEZ POSSA FICAR SO NA _MATMUL. + // PASSAR TUDO PRA ARQUIVOS SRC TYPESCRIPT!!!! <<<<<<<< + if (a.shape.length < b.shape.length) { aData = broadcastUp(aData, bData); } else { bData = broadcastUp(bData, aData); } - - // Call recursive function: const z = new Tensor( - _matmul(aData, bData), // data; - requiresGrad(a) || requiresGrad(b) // requires_grad; + _matmul(aData, bData, b.forwardKernel), + // data; + requiresGrad(a) || requiresGrad(b) + // requires_grad; ); - - // Connect nodes in graph: if (a instanceof Tensor && requiresGrad(a)) { z.parents.push(a); a.children.push(z); @@ -608,42 +662,30 @@ export class MatMul { b.children.push(z); } z.operation = this; - return z; } - backward(dz: Tensor, z: Tensor) { - // Get data from cache: const [a, b] = this.cache; - // Find gradients relative to "a", and pass it downstream: if (requiresGrad(a)) { - // Define Operands: const dzData = dz.data; let b_T = _transpose(b.data, b.ndims - 2); - // Broadcast smaller tensor to match size of larger: b_T = broadcastUp(b_T, dzData); - // Backprop through the matmul: - let da = new Tensor(_matmul(dzData, b_T)); - // Rescale gradient to have the same shape as "a": + let da = new Tensor(_matmul(dzData, b_T, b.backwardKernelA)); da = broadcast(da, a); - a.backward(da, z); } - // Find gradients relative to "a", and pass it downstream: if (requiresGrad(b)) { - // Define Operands: const dzData = dz.data; let a_T = _transpose(a.data, a.ndims - 2); - // Broadcast smaller tensor to match size of larger: a_T = broadcastUp(a_T, dzData); - // Backprop through the matmul: - let db = new Tensor(_matmul(a_T, dzData)); - // Rescale gradient to have the same shape as "b": + let db = new Tensor(_matmul(a_T, dzData, b.backwardKernelB)); db = broadcast(db, b); b.backward(db, z); } } } +// ================================ NUEVO ================================ // +// ================================ NUEVO ================================ // export class Pow { cache: any; @@ -1632,35 +1674,27 @@ function _div(a: Array | number, b: Array | number): any { } } } +// =================== ANTIGO ========================= // + +// =================== ANTIGO ========================= // -function _matmul(a: Array, b: Array): Array { +// =================== NUEVO ========================= // +function _matmul(a: Array, b: Array, kernel: any): Array { if (typeof a === "number") { throw new Error("Cannot perform MatMul with given shapes."); } // If this dimension has equal lengths, keep searching: if (typeof a[0][0] === "object") { return a.map((element: Array, idx: number) => - _matmul(element, b[idx]) + _matmul(element, b[idx], kernel) ); - // If not, try to matmul: + // If not, try to matmul: } else { // If dimensions align, perform matmul: if (a[0].length === b.length && typeof a[0][0] === "number") { - // Make a [a[0].length x b.length] array: - const out = Array(a.length) - .fill(0) - .map(() => Array(b[0].length).fill(0)); - for (let i = 0; i < a.length; i++) { - for (let j = 0; j < b[0].length; j++) { - let currentIndex = 0; - for (let k = 0; k < b.length; k++) { - currentIndex += a[i][k] * b[k][j]; - } - out[i][j] = currentIndex; - } - } + let out = kernel(a, b, b.length); + out = out.map((el:number[]) => Array.from(el)); return out; - // If not, throw error: } else { throw Error( `Cannot perform Matrix Multiplication: cannot broadcast ${[ @@ -1671,6 +1705,7 @@ function _matmul(a: Array, b: Array): Array { } } } +// =================== NUEVO ========================= // function _pow(a: Array | number, n: number): Array | number { // If a is a number, exponentiate it. If not, exponentiate all of its elements: @@ -1778,22 +1813,41 @@ function _masked_fill( } } -export function _reshape(a: Array, shape: Array): Array { - // Rebuilds flattened array "flat" with shape "shape": - function _build(a: any[], shape: any[]): Array { - if (shape.length > 1) { - const emptyArray = Array(shape[0]).fill(0); - return emptyArray.map(() => _build(a, shape.slice(1))); +// export function _reshape(a: Array, shape: Array): Array { +// // Rebuilds flattened array "flat" with shape "shape": +// function _build(a: any[], shape: any[]): Array { +// if (shape.length > 1) { +// const emptyArray = Array(shape[0]).fill(0); +// return emptyArray.map(() => _build(a, shape.slice(1))); +// } else { +// const emptyArray = Array(shape[0]).fill(0); +// return emptyArray.map(() => a.shift()); +// } +// } + +// // Flatten array with a's data: +// const flat = a.flat(Infinity); +// // Rebuild a with new shape: +// return _build(flat, shape); +// } + +export function _reshape(a: Array, shape: number[]) { + if (getShape(a).reduce((a,b)=>a*b,1) != shape.reduce((a,b)=>a*b,1)) {throw new Error('Attempting to reshape into invalid shape.')} + function _build(a2: any[], shape2: number[], idx: number, numberOfEls: number): any[] { + if (shape2.length > 1) { + const emptyArray = Array(shape2[0]).fill(0); + let offSet = idx; + numberOfEls = (numberOfEls / shape2[0]); + const myArray = emptyArray.map((_, idx) => _build(a2, shape2.slice(1), offSet + idx*numberOfEls, numberOfEls)); + return myArray; } else { - const emptyArray = Array(shape[0]).fill(0); - return emptyArray.map(() => a.shift()); + const myArray = a2.slice(idx,idx+numberOfEls); + return myArray; } } - - // Flatten array with a's data: const flat = a.flat(Infinity); - // Rebuild a with new shape: - return _build(flat, shape); + const built = _build(flat, shape, 0, flat.length); + return built; } // <<< Tensor Initialization Methods >>> // @@ -1822,22 +1876,25 @@ function _tensorInitializer( * Creates new instance of the Tensor class. * @param {object} data - Iterable containing the data to be stored in the Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". * @returns {object} New tensor. */ -export function tensor(data: Array, requires_grad = false): Tensor { - return new Tensor(data, requires_grad); +export function tensor(data: Array, requires_grad = false, device = 'cpu'): Tensor { + return new Tensor(data, requires_grad, device); } /** * Creates new instance of the Tensor class filled with only zeros. * @param {object} shape - List containing the shape of the new tensor Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". * @returns {object} New tensor. */ -export function zeros(shape: Array, requires_grad = false): Tensor { +export function zeros(shape: Array, requires_grad = false, device = 'cpu'): Tensor { return new Tensor( _tensorInitializer(shape, () => 0), - requires_grad + requires_grad, + device ); } @@ -1845,12 +1902,14 @@ export function zeros(shape: Array, requires_grad = false): Tensor { * Creates new instance of the Tensor class filled with only ones. * @param {object} shape - List containing the shape of the new tensor Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". * @returns {object} New tensor. */ -export function ones(shape: Array, requires_grad = false): Tensor { +export function ones(shape: Array, requires_grad = false, device = 'cpu'): Tensor { return new Tensor( _tensorInitializer(shape, () => 1), - requires_grad + requires_grad, + device ); } @@ -1858,9 +1917,10 @@ export function ones(shape: Array, requires_grad = false): Tensor { * Creates new instance of a lower-triangular 2D Tensor. * @param {object} shape - List containing the shape of the new tensor Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". * @returns {object} New tensor. */ -export function tril(shape: Array, requires_grad = false): Tensor { +export function tril(shape: Array, requires_grad = false, device = 'cpu'): Tensor { const z = ones(shape, requires_grad); for (let i = 0; i < shape[0]; i++) { for (let j = 0; j < shape[0]; j++) { @@ -1870,19 +1930,21 @@ export function tril(shape: Array, requires_grad = false): Tensor { } } - return new Tensor(z._data, requires_grad); + return new Tensor(z._data, requires_grad, device); } /** * Creates new instance of the Tensor class filled with numbers in a uniform distribution in ]0,1[. * @param {object} shape - List containing the shape of the new tensor Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". * @returns {object} New tensor. */ -export function rand(shape: Array, requires_grad = false): Tensor { +export function rand(shape: Array, requires_grad = false, device = 'cpu'): Tensor { return new Tensor( _tensorInitializer(shape, () => Math.random()), - requires_grad + requires_grad, + device ); } @@ -1890,18 +1952,20 @@ export function rand(shape: Array, requires_grad = false): Tensor { * Creates new instance of the Tensor class filled with numbers in a normal distribution. * @param {object} shape - List containing the shape of the new tensor Tensor. * @param {boolean} requires_grad - Whether to keep track of this tensor's gradients. + * @param {string} device - Device to store Tensor. Either "gpu" or "cpu". * @param {boolean} xavier - Whether to use xavier initialization (divide by square root of first input dimension). * @returns {object} New tensor. */ export function randn( shape: Array, requires_grad = false, - xavier = false + xavier = false, + device = 'cpu' ): Tensor { return new Tensor( _tensorInitializer(shape, () => { - const mean = Math.random() + 0.00001; - const variance = Math.random() + 0.00001; + const mean = Math.random() * 0.98 + 1e-3; + const variance = Math.random() * 0.98 + 1e-3;; const num = Math.sqrt(-2.0 * Math.log(mean)) * Math.cos(2.0 * Math.PI * variance); if (xavier) { @@ -1911,7 +1975,8 @@ export function randn( return num; } }), - requires_grad + requires_grad, + device ); }