@magenta/music
Version:
Make music with machine learning, in the browser.
1 lines • 156 kB
JavaScript
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l=r.concat(c,1),p=r.matMul(l,this.attnMatrix).reshape([-1,1,1,this.attnSize]),m=r.sum(r.mul(this.attnV,r.tanh(r.add(u,p))),[2,3]),f=r.softmax(m),h=r.sum(r.mul(r.reshape(f,[-1,this.attnLength,1,1]),a),[1,2]).reshape([-1,this.attnSize]),d=o.attentionState.reshape([-1,this.attnLength,this.attnSize]),g=r.slice(d,[0,1,0],[d.shape[0],d.shape[1]-1,d.shape[2]]),S=r.add(r.matMul(r.concat([n[2],h],1),this.attnOutputMatrix),this.attnOutputBias),y=h.flatten(),P=r.concat([g,S.as3D(S.shape[0],1,S.shape[1])],1).reshape([-1,this.attnLength*this.attnSize]);return{output:S,c:t,h:n,attentionState:{attention:y,attentionState:P}}}}class p{constructor(e,t){this.checkpointURL=e,this.spec=t,this.initialized=!1,this.rawVars={},this.biasShapes=[],this.lstmCells=[]}isInitialized(){return this.initialized}instantiateFromSpec(){this.dataConverter=s.converterFromSpec(this.spec.dataConverter),this.attentionLength=this.spec.attentionLength,this.chordEncoder=this.spec.chordEncoder?i.chordEncoderFromType(this.spec.chordEncoder):void 0,this.auxInputs=this.spec.auxInputs?this.spec.auxInputs.map(e=>o.auxiliaryInputFromSpec(e)):void 0}async initialize(){this.dispose();const e=a.d.now();this.spec||await Object(a.a)(this.checkpointURL+"/config.json").then(e=>e.json()).then(e=>{if("MusicRNN"!==e.type)throw new Error("Attempted to instantiate MusicRNN model with incorrect type:\n "+e.type);this.spec=e}),this.instantiateFromSpec();const t=await Object(a.a)(this.checkpointURL+"/weights_manifest.json").then(e=>e.json()).then(e=>r.io.loadWeights(e,this.checkpointURL)),n=l.isWrapped(t),o=n?"rnn/attention_cell_wrapper/":"rnn/";this.forgetBias=r.scalar(1),this.lstmCells.length=0,this.biasShapes.length=0;let i=0;for(;;){const e=o+"multi_rnn_cell/cell_%d/basic_lstm_cell/".replace("%d",i.toString());if(!(e+"kernel"in t))break;this.lstmCells.push((n,o,i)=>r.basicLSTMCell(this.forgetBias,t[e+"kernel"],t[e+"bias"],n,o,i)),this.biasShapes.push(t[e+"bias"].shape[0]),++i}this.lstmFcW=t["fully_connected/weights"],this.lstmFcB=t["fully_connected/biases"],n&&(this.attentionWrapper=new l(this.lstmCells,this.attentionLength,this.biasShapes[0]/4),this.attentionWrapper.initialize(t)),this.rawVars=t,this.initialized=!0,u.logWithDuration("Initialized model",e,"MusicRNN")}dispose(){Object.keys(this.rawVars).forEach(e=>this.rawVars[e].dispose()),this.rawVars={},this.forgetBias&&(this.forgetBias.dispose(),this.forgetBias=void 0),this.initialized=!1}async continueSequence(e,t,n,r){return(await this.continueSequenceImpl(e,t,n,r,!1)).sequence}async continueSequenceAndReturnProbabilities(e,t,n,r){return this.continueSequenceImpl(e,t,n,r,!0)}async continueSequenceImpl(e,t,n,o,i){if(c.assertIsRelativeQuantizedSequence(e),this.chordEncoder&&!o)throw new Error("Chord progression expected but not provided.");if(!this.chordEncoder&&o)throw new Error("Unexpected chord progression provided.");this.initialized||await this.initialize();const s=a.d.now(),l=r.tidy(()=>{const s=this.dataConverter.toTensor(e),a=s.shape[0],u=s.shape[1],c=this.chordEncoder?this.chordEncoder.encodeProgression(o,a+t):void 0,l=this.auxInputs?r.concat(this.auxInputs.map(e=>e.getTensors(a+t)),1):void 0,p=this.sampleRnn(s,t,n,c,l,i),m=p.samples;return{samples:r.stack(m).as2D(m.length,u),probs:p.probs}}),p=await l,m=this.dataConverter.toNoteSequence(p.samples,e.quantizationInfo.stepsPerQuarter),f=[];if(i)for(let e=0;e<p.probs.length;e++)f.push(await p.probs[e].data()),p.probs[e].dispose();return l.samples.dispose(),m.then(()=>u.logWithDuration("Continuation completed",s,"MusicRNN",20)),{sequence:m,probs:f}}sampleRnn(e,t,n,o,i,s){const a=e.shape[0],u=e.shape[1];let c=[],l=[];for(let e=0;e<this.biasShapes.length;e++)c.push(r.zeros([1,this.biasShapes[e]/4])),l.push(r.zeros([1,this.biasShapes[e]/4]));let p,m=this.attentionWrapper?this.attentionWrapper.initState():null;e=e.toFloat();const f=[],h=[],d=r.split(e.toFloat(),a),g=o?r.split(o,o.shape[0]):void 0,S=i?r.split(i,i.shape[0]):void 0;for(let e=0;e<a+t;e++){let o;if(e<a)o=d[e];else{let e,t=p.matMul(this.lstmFcW).add(this.lstmFcB).as1D();n?(t=t.div(r.scalar(n)),e=r.multinomial(t,1).as1D()):e=t.argMax().as1D(),s&&h.push(r.softmax(t)),o=r.oneHot(e,u).toFloat(),f.push(o.as1D())}if(e===a+t-1)break;const i=[];if(g&&i.push(g[e+1]),i.push(o),S&&i.push(S[e]),o=r.concat(i,1),this.attentionWrapper){const e=this.attentionWrapper.call(o,c,l,m);c=e.c,l=e.h,m=e.attentionState,p=e.output}else[c,l]=r.multiRNNCell(this.lstmCells,o,c,l),p=l[l.length-1]}return{samples:f,probs:h}}}},2:function(e,t){e.exports=__WEBPACK_EXTERNAL_MODULE__2__},21:function(e,t){var n;n=function(){return this}();try{n=n||new Function("return this")()}catch(e){"object"==typeof window&&(n=window)}e.exports=n},23:function(e,t,n){"use strict";n.r(t),n.d(t,"NO_EVENT",(function(){return s})),n.d(t,"NOTE_OFF",(function(){return a})),n.d(t,"Melody",(function(){return u})),n.d(t,"MelodyRhythm",(function(){return c})),n.d(t,"MelodyShape",(function(){return l})),n.d(t,"MelodyRegister",(function(){return p}));var r=n(2),o=n(10),i=n(13);const s=0,a=1;class u{constructor(e,t,n){this.events=e,this.minPitch=t,this.maxPitch=n}static fromNoteSequence(e,t,n,r=!0,o){i.assertIsQuantizedSequence(e);const s=e.notes.sort((e,t)=>e.quantizedStartStep===t.quantizedStartStep?t.pitch-e.pitch:e.quantizedStartStep-t.quantizedStartStep),c=new Int32Array(o||e.totalQuantizedSteps);let l=-1;return s.forEach(e=>{if(e.quantizedStartStep===l){if(r)return;throw new Error("`NoteSequence` is not monophonic.")}if(e.pitch<t||e.pitch>n)throw Error("`NoteSequence` has a pitch outside of the valid range: "+e.pitch);c[e.quantizedStartStep]=e.pitch-t+2,c[e.quantizedEndStep]=a,l=e.quantizedStartStep}),new u(c,t,n)}toNoteSequence(e,t){const n=i.createQuantizedNoteSequence(e,t);let r=null;for(let e=0;e<this.events.length;++e){const t=this.events[e];switch(t){case s:break;case a:r&&(r.quantizedEndStep=e,n.notes.push(r),r=null);break;default:r&&(r.quantizedEndStep=e,n.notes.push(r)),r=o.a.Note.create({pitch:t-2+this.minPitch,quantizedStartStep:e})}}return r&&(r.quantizedEndStep=this.events.length,n.notes.push(r)),n.totalQuantizedSteps=this.events.length,n}}class c{constructor(){this.depth=1}extract(e){const t=e.events.length,n=r.buffer([t,1]);for(let r=0;r<t;++r)n.set(e.events[r]>=2?1:0,r,0);return n.toTensor().as2D(t,1)}}class l{constructor(){this.depth=3}extract(e){const t=e.events.length,n=r.buffer([t,3]);let o=null,i=null;for(let r=0;r<t;++r)if(e.events[r]>=2){if(null!==o){let t;0===n.get(o,0)&&0===n.get(o,1)&&0===n.get(o,2)&&(o=-1),t=e.events[r]<i?0:e.events[r]>i?2:1;for(let 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a{constructor(e,t,n,r,o){this.events=e,this.maxShiftSteps=t,this.numVelocityBins=n,this.program=r,this.isDrum=o}static fromNoteSequence(e,t,n,r){i.assertIsQuantizedSequence(e);const s=e.notes.filter((e,t)=>void 0===r||e.instrument===r),u=s.sort((e,t)=>e.startTime===t.startTime?e.pitch-t.pitch:e.startTime-t.startTime),c=u.map((e,t)=>({step:e.quantizedStartStep,index:t,isOffset:0})),l=u.map((e,t)=>({step:e.quantizedEndStep,index:t,isOffset:1})),p=c.concat(l).sort((e,t)=>e.step===t.step?e.index===t.index?e.isOffset-t.isOffset:e.index-t.index:e.step-t.step),m=n?Math.ceil((o.MIDI_VELOCITIES-1)/n):void 0,f=[];let h=0,d=n;for(const e of p){if(e.step>h){for(;e.step>h+t;)f.push({type:"time-shift",steps:t}),h+=t;f.push({type:"time-shift",steps:e.step-h}),h=e.step}if(e.isOffset)f.push({type:"note-off",pitch:u[e.index].pitch});else{if(m){const 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n=this.events[this.events.length-1];"time-shift"===n.type?t-n.steps<e?(n.steps-=t-e,t=e):(this.events.pop(),t-=n.steps):this.events.pop()}}toNoteSequence(e){const t=this.numVelocityBins?Math.ceil((o.MIDI_VELOCITIES-1)/this.numVelocityBins):void 0,n=r.a.create();let i=0,a=void 0;const u=new Map;for(let e=o.MIN_MIDI_PITCH;e<=o.MAX_MIDI_PITCH;++e)u.set(e,[]);for(const c of this.events)switch(c.type){case"note-on":u.get(c.pitch).push([i,a]);break;case"note-off":const l=u.get(c.pitch);if(l.length){const[t,o]=l.shift();i>t?n.notes.push(r.a.Note.create({pitch:c.pitch,velocity:o,instrument:e,quantizedStartStep:t,quantizedEndStep:i,program:this.program,isDrum:this.isDrum})):s.log(`Ignoring zero-length note: (pitch = ${c.pitch}, step = ${i})`,"Performance")}else s.log(`Ignoring note-off with no previous note-on:(pitch = ${c.pitch}, step = ${i})`,"Performance");break;case"time-shift":i+=c.steps;break;case"velocity-change":if(!t)throw new Error("Unexpected velocity change event: 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e(e){if(this.timeSignatures=[],this.keySignatures=[],this.tempos=[],this.notes=[],this.pitchBends=[],this.controlChanges=[],this.partInfos=[],this.textAnnotations=[],this.sectionAnnotations=[],this.sectionGroups=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}var t,n;return e.prototype.id="",e.prototype.filename="",e.prototype.referenceNumber=u.Long?u.Long.fromBits(0,0,!1):0,e.prototype.collectionName="",e.prototype.ticksPerQuarter=0,e.prototype.timeSignatures=u.emptyArray,e.prototype.keySignatures=u.emptyArray,e.prototype.tempos=u.emptyArray,e.prototype.notes=u.emptyArray,e.prototype.totalTime=0,e.prototype.totalQuantizedSteps=u.Long?u.Long.fromBits(0,0,!1):0,e.prototype.pitchBends=u.emptyArray,e.prototype.controlChanges=u.emptyArray,e.prototype.partInfos=u.emptyArray,e.prototype.sourceInfo=null,e.prototype.textAnnotations=u.emptyArray,e.prototype.sectionAnnotations=u.emptyArray,e.prototype.sectionGroups=u.emptyArray,e.prototype.quantizationInfo=null,e.prototype.subsequenceInfo=null,e.prototype.sequenceMetadata=null,e.create=function(t){return new e(t)},e.encode=function(e,t){if(t||(t=a.create()),null!=e.id&&e.hasOwnProperty("id")&&t.uint32(10).string(e.id),null!=e.filename&&e.hasOwnProperty("filename")&&t.uint32(18).string(e.filename),null!=e.collectionName&&e.hasOwnProperty("collectionName")&&t.uint32(26).string(e.collectionName),null!=e.ticksPerQuarter&&e.hasOwnProperty("ticksPerQuarter")&&t.uint32(32).int32(e.ticksPerQuarter),null!=e.timeSignatures&&e.timeSignatures.length)for(var n=0;n<e.timeSignatures.length;++n)c.tensorflow.magenta.NoteSequence.TimeSignature.encode(e.timeSignatures[n],t.uint32(42).fork()).ldelim();if(null!=e.keySignatures&&e.keySignatures.length)for(n=0;n<e.keySignatures.length;++n)c.tensorflow.magenta.NoteSequence.KeySignature.encode(e.keySignatures[n],t.uint32(50).fork()).ldelim();if(null!=e.tempos&&e.tempos.length)for(n=0;n<e.tempos.length;++n)c.tensorflow.magenta.NoteSequence.Tempo.encode(e.tempos[n],t.uint32(58).fork()).ldelim();if(null!=e.notes&&e.notes.length)for(n=0;n<e.notes.length;++n)c.tensorflow.magenta.NoteSequence.Note.encode(e.notes[n],t.uint32(66).fork()).ldelim();if(null!=e.totalTime&&e.hasOwnProperty("totalTime")&&t.uint32(73).double(e.totalTime),null!=e.pitchBends&&e.pitchBends.length)for(n=0;n<e.pitchBends.length;++n)c.tensorflow.magenta.NoteSequence.PitchBend.encode(e.pitchBends[n],t.uint32(82).fork()).ldelim();if(null!=e.controlChanges&&e.controlChanges.length)for(n=0;n<e.controlChanges.length;++n)c.tensorflow.magenta.NoteSequence.ControlChange.encode(e.controlChanges[n],t.uint32(90).fork()).ldelim();if(null!=e.partInfos&&e.partInfos.length)for(n=0;n<e.partInfos.length;++n)c.tensorflow.magenta.NoteSequence.PartInfo.encode(e.partInfos[n],t.uint32(98).fork()).ldelim();if(null!=e.sourceInfo&&e.hasOwnProperty("sourceInfo")&&c.tensorflow.magenta.NoteSequence.SourceInfo.encode(e.sourceInfo,t.uint32(106).fork()).ldelim(),null!=e.textAnnotations&&e.textAnnotations.length)for(n=0;n<e.textAnnotations.length;++n)c.tensorflow.magenta.NoteSequence.TextAnnotation.encode(e.textAnnotations[n],t.uint32(114).fork()).ldelim();if(null!=e.quantizationInfo&&e.hasOwnProperty("quantizationInfo")&&c.tensorflow.magenta.NoteSequence.QuantizationInfo.encode(e.quantizationInfo,t.uint32(122).fork()).ldelim(),null!=e.totalQuantizedSteps&&e.hasOwnProperty("totalQuantizedSteps")&&t.uint32(128).int64(e.totalQuantizedSteps),null!=e.subsequenceInfo&&e.hasOwnProperty("subsequenceInfo")&&c.tensorflow.magenta.NoteSequence.SubsequenceInfo.encode(e.subsequenceInfo,t.uint32(138).fork()).ldelim(),null!=e.referenceNumber&&e.hasOwnProperty("referenceNumber")&&t.uint32(144).int64(e.referenceNumber),null!=e.sequenceMetadata&&e.hasOwnProperty("sequenceMetadata")&&c.tensorflow.magenta.SequenceMetadata.encode(e.sequenceMetadata,t.uint32(154).fork()).ldelim(),null!=e.sectionAnnotations&&e.sectionAnnotations.length)for(n=0;n<e.sectionAnnotations.length;++n)c.tensorflow.magenta.NoteSequence.SectionAnnotation.encode(e.sectionAnnotations[n],t.uint32(162).fork()).ldelim();if(null!=e.sectionGroups&&e.sectionGroups.length)for(n=0;n<e.sectionGroups.length;++n)c.tensorflow.magenta.NoteSequence.SectionGroup.encode(e.sectionGroups[n],t.uint32(170).fork()).ldelim();return t},e.encodeDelimited=function(e,t){return this.encode(e,t).ldelim()},e.decode=function(e,t){e instanceof s||(e=s.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new c.tensorflow.magenta.NoteSequence;e.pos<n;){var o=e.uint32();switch(o>>>3){case 1:r.id=e.string();break;case 2:r.filename=e.string();break;case 18:r.referenceNumber=u.Long?e.int64().toNumber():e.int64();break;case 3:r.collectionName=e.string();break;case 4:r.ticksPerQuarter=e.int32();break;case 5:r.timeSignatures&&r.timeSignatures.length||(r.timeSignatures=[]),r.timeSignatures.push(c.tensorflow.magenta.NoteSequence.TimeSignature.decode(e,e.uint32()));break;case 6:r.keySignatures&&r.keySignatures.length||(r.keySignatures=[]),r.keySignatures.push(c.tensorflow.magenta.NoteSequence.KeySignature.decode(e,e.uint32()));break;case 7:r.tempos&&r.tempos.length||(r.tempos=[]),r.tempos.push(c.tensorflow.magenta.NoteSequence.Tempo.decode(e,e.uint32()));break;case 8:r.notes&&r.notes.length||(r.notes=[]),r.notes.push(c.tensorflow.magenta.NoteSequence.Note.decode(e,e.uint32()));break;case 9:r.totalTime=e.double();break;case 16:r.totalQuantizedSteps=u.Long?e.int64().toNumber():e.int64();break;case 10:r.pitchBends&&r.pitchBends.length||(r.pitchBends=[]),r.pitchBends.push(c.tensorflow.magenta.NoteSequence.PitchBend.decode(e,e.uint32()));break;case 11:r.controlChanges&&r.controlChanges.length||(r.controlChanges=[]),r.controlChanges.push(c.tensorflow.magenta.NoteSequence.ControlChange.decode(e,e.uint32()));break;case 12:r.partInfos&&r.partInfos.length||(r.partInfos=[]),r.partInfos.push(c.tensorflow.magenta.NoteSequence.PartInfo.decode(e,e.uint32()));break;case 13:r.sourceInfo=c.tensorflow.magenta.NoteSequence.SourceInfo.decode(e,e.uint32());break;case 14:r.textAnnotations&&r.textAnnotations.length||(r.textAnnotations=[]),r.textAnnotations.push(c.tensorflow.magenta.NoteSequence.TextAnnotation.decode(e,e.uint32()));break;case 20:r.sectionAnnotations&&r.sectionAnnotations.length||(r.sectionAnnotations=[]),r.sectionAnnotations.push(c.tensorflow.magenta.NoteSequence.SectionAnnotation.decode(e,e.uint32()));break;case 21:r.sectionGroups&&r.sectionGroups.length||(r.sectionGroups=[]),r.sectionGroups.push(c.tensorflow.magenta.NoteSequence.SectionGroup.decode(e,e.uint32()));break;case 15:r.quantizationInfo=c.tensorflow.magenta.NoteSequence.QuantizationInfo.decode(e,e.uint32());break;case 17:r.subsequenceInfo=c.tensorflow.magenta.NoteSequence.SubsequenceInfo.decode(e,e.uint32());break;case 19:r.sequenceMetadata=c.tensorflow.magenta.SequenceMetadata.decode(e,e.uint32());break;default:e.skipType(7&o)}}return r},e.decodeDelimited=function(e){return e instanceof s||(e=new s(e)),this.decode(e,e.uint32())},e.verify=function(e){if("object"!=typeof e||null===e)return"object expected";if(null!=e.id&&e.hasOwnProperty("id")&&!u.isString(e.id))return"id: string expected";if(null!=e.filename&&e.hasOwnProperty("filename")&&!u.isString(e.filename))return"filename: string expected";if(null!=e.referenceNumber&&e.hasOwnProperty("referenceNumber")&&!(u.isInteger(e.referenceNumber)||e.referenceNumber&&u.isInteger(e.referenceNumber.low)&&u.isInteger(e.referenceNumber.high)))return"referenceNumber: integer|Long expected";if(null!=e.collectionName&&e.hasOwnProperty("collectionName")&&!u.isString(e.collectionName))return"collectionName: string expected";if(null!=e.ticksPerQuarter&&e.hasOwnProperty("ticksPerQuarter")&&!u.isInteger(e.ticksPerQuarter))return"ticksPerQuarter: integer expected";if(null!=e.timeSignatures&&e.hasOwnProperty("timeSignatures")){if(!Array.isArray(e.timeSignatures))return"timeSignatures: array expected";for(var t=0;t<e.timeSignatures.length;++t)if(n=c.tensorflow.magenta.NoteSequence.TimeSignature.verify(e.timeSignatures[t]))return"timeSignatures."+n}if(null!=e.keySignatures&&e.hasOwnProperty("keySignatures")){if(!Array.isArray(e.keySignatures))return"keySignatures: array expected";for(t=0;t<e.keySignatures.length;++t)if(n=c.tensorflow.magenta.NoteSequence.KeySignature.verify(e.keySignatures[t]))return"keySignatures."+n}if(null!=e.tempos&&e.hasOwnProperty("tempos")){if(!Array.isArray(e.tempos))return"tempos: array expected";for(t=0;t<e.tempos.length;++t)if(n=c.tensorflow.magenta.NoteSequence.Tempo.verify(e.tempos[t]))return"tempos."+n}if(null!=e.notes&&e.hasOwnProperty("notes")){if(!Array.isArray(e.notes))return"notes: array expected";for(t=0;t<e.notes.length;++t)if(n=c.tensorflow.magenta.NoteSequence.Note.verify(e.notes[t]))return"notes."+n}if(null!=e.totalTime&&e.hasOwnProperty("totalTime")&&"number"!=typeof e.totalTime)return"totalTime: number expected";if(null!=e.totalQuantizedSteps&&e.hasOwnProperty("totalQuantizedSteps")&&!(u.isInteger(e.totalQuantizedSteps)||e.totalQuantizedSteps&&u.isInteger(e.totalQuantizedSteps.low)&&u.isInteger(e.totalQuantizedSteps.high)))return"totalQuantizedSteps: integer|Long expected";if(null!=e.pitchBends&&e.hasOwnProperty("pitchBends")){if(!Array.isArray(e.pitchBends))return"pitchBends: array expected";for(t=0;t<e.pitchBends.length;++t)if(n=c.tensorflow.magenta.NoteSequence.PitchBend.verify(e.pitchBends[t]))return"pitchBends."+n}if(null!=e.controlChanges&&e.hasOwnProperty("controlChanges")){if(!Array.isArray(e.controlChanges))return"controlChanges: array expected";for(t=0;t<e.controlChanges.length;++t)if(n=c.tensorflow.magenta.NoteSequence.ControlChange.verify(e.controlChanges[t]))return"controlChanges."+n}if(null!=e.partInfos&&e.hasOwnProperty("partInfos")){if(!Array.isArray(e.partInfos))return"partInfos: array expected";for(t=0;t<e.partInfos.length;++t)if(n=c.tensorflow.magenta.NoteSequence.PartInfo.verify(e.partInfos[t]))return"partInfos."+n}if(null!=e.sourceInfo&&e.hasOwnProperty("sourceInfo")&&(n=c.tensorflow.magenta.NoteSequence.SourceInfo.verify(e.sourceInfo)))return"sourceInfo."+n;if(null!=e.textAnnotations&&e.hasOwnProperty("textAnnotations")){if(!Array.isArray(e.textAnnotations))return"textAnnotations: array expected";for(t=0;t<e.textAnnotations.length;++t)if(n=c.tensorflow.magenta.NoteSequence.TextAnnotation.verify(e.textAnnotations[t]))return"textAnnotations."+n}if(null!=e.sectionAnnotations&&e.hasOwnProperty("sectionAnnotations")){if(!Array.isArray(e.sectionAnnotations))return"sectionAnnotations: array expected";for(t=0;t<e.sectionAnnotations.length;++t)if(n=c.tensorflow.magenta.NoteSequence.SectionAnnotation.verify(e.sectionAnnotations[t]))return"sectionAnnotations."+n}if(null!=e.sectionGroups&&e.hasOwnProperty("sectionGroups")){if(!Array.isArray(e.sectionGroups))return"sectionGroups: array expected";for(t=0;t<e.sectionGroups.length;++t){var n;if(n=c.tensorflow.magenta.NoteSequence.SectionGroup.verify(e.sectionGroups[t]))return"sectionGroups."+n}}return null!=e.quantizationInfo&&e.hasOwnProperty("quantizationInfo")&&(n=c.tensorflow.magenta.NoteSequence.QuantizationInfo.verify(e.quantizationInfo))?"quantizationInfo."+n:null!=e.subsequenceInfo&&e.hasOwnProperty("subsequenceInfo")&&(n=c.tensorflow.magenta.NoteSequence.SubsequenceInfo.verify(e.subsequenceInfo))?"subsequenceInfo."+n:null!=e.sequenceMetadata&&e.hasOwnProperty("sequenceMetadata")&&(n=c.tensorflow.magenta.SequenceMetadata.verify(e.sequenceMetadata))?"sequenceMetadata."+n:null},e.fromObject=function(e){if(e instanceof c.tensorflow.magenta.NoteSequence)return e;var t=new c.tensorflow.magenta.NoteSequence;if(null!=e.id&&(t.id=String(e.id)),null!=e.filename&&(t.filename=String(e.filename)),null!=e.referenceNumber&&(u.Long?(t.referenceNumber=u.Long.fromValue(e.referenceNumber)).unsigned=!1:"string"==typeof e.referenceNumber?t.referenceNumber=parseInt(e.referenceNumber,10):"number"==typeof e.referenceNumber?t.referenceNumber=e.referenceNumber:"object"==typeof e.referenceNumber&&(t.referenceNumber=new u.LongBits(e.referenceNumber.low>>>0,e.referenceNumber.high>>>0).toNumber())),null!=e.collectionName&&(t.collectionName=String(e.collectionName)),null!=e.ticksPerQuarter&&(t.ticksPerQuarter=0|e.ticksPerQuarter),e.timeSignatures){if(!Array.isArray(e.timeSignatures))throw TypeError(".tensorflow.magenta.NoteSequence.timeSignatures: array expected");t.timeSignatures=[];for(var n=0;n<e.timeSignatures.length;++n){if("object"!=typeof e.timeSignatures[n])throw TypeError(".tensorflow.magenta.NoteSequence.timeSignatures: object expected");t.timeSignatures[n]=c.tensorflow.magenta.NoteSequence.TimeSignature.fromObject(e.timeSignatures[n])}}if(e.keySignatures){if(!Array.isArray(e.keySignatures))throw TypeError(".tensorflow.magenta.NoteSequence.keySignatures: array expected");for(t.keySignatures=[],n=0;n<e.keySignatures.length;++n){if("object"!=typeof e.keySignatures[n])throw TypeError(".tensorflow.magenta.NoteSequence.keySignatures: object expected");t.keySignatures[n]=c.tensorflow.magenta.NoteSequence.KeySignature.fromObject(e.keySignatures[n])}}if(e.tempos){if(!Array.isArray(e.tempos))throw TypeError(".tensorflow.magenta.NoteSequence.tempos: array expected");for(t.tempos=[],n=0;n<e.tempos.length;++n){if("object"!=typeof e.tempos[n])throw TypeError(".tensorflow.magenta.NoteSequence.tempos: object expected");t.tempos[n]=c.tensorflow.magenta.NoteSequence.Tempo.fromObject(e.tempos[n])}}if(e.notes){if(!Array.isArray(e.notes))throw TypeError(".tensorflow.magenta.NoteSequence.notes: array expected");for(t.notes=[],n=0;n<e.notes.length;++n){if("object"!=typeof e.notes[n])throw TypeError(".tensorflow.magenta.NoteSequence.notes: object expected");t.notes[n]=c.tensorflow.magenta.NoteSequence.Note.fromObject(e.notes[n])}}if(null!=e.totalTime&&(t.totalTime=Number(e.totalTime)),null!=e.totalQuantizedSteps&&(u.Long?(t.totalQuantizedSteps=u.Long.fromValue(e.totalQuantizedSteps)).unsigned=!1:"string"==typeof e.totalQuantizedSteps?t.totalQuantizedSteps=parseInt(e.totalQuantizedSteps,10):"number"==typeof e.totalQuantizedSteps?t.totalQuantizedSteps=e.totalQuantizedSteps:"object"==typeof e.totalQuantizedSteps&&(t.totalQuantizedSteps=new u.LongBits(e.totalQuantizedSteps.low>>>0,e.totalQuantizedSteps.high>>>0).toNumber())),e.pitchBends){if(!Array.isArray(e.pitchBends))throw TypeError(".tensorflow.magenta.NoteSequence.pitchBends: array expected");for(t.pitchBends=[],n=0;n<e.pitchBends.length;++n){if("object"!=typeof e.pitchBends[n])throw TypeError(".tensorflow.magenta.NoteSequence.pitchBends: object expe