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@magenta/music - npm Package Compare versions

Comparing version 1.1.9 to 1.1.10

dist/.DS_Store

6

es5/core/chords.d.ts

@@ -7,3 +7,3 @@ import * as tf from '@tensorflow/tfjs-core';

Diminished = 3,
Other = 4,
Other = 4
}

@@ -30,3 +30,3 @@ export declare class ChordSymbolException extends Error {

depth: number;
private index(chord);
private index;
encode(chord: string): tf.Tensor<tf.Rank.R1>;

@@ -36,3 +36,3 @@ }

depth: number;
private index(chord);
private index;
encode(chord: string): tf.Tensor<tf.Rank.R1>;

@@ -39,0 +39,0 @@ }

@@ -17,2 +17,3 @@ export declare const DEFAULT_QUARTERS_PER_MINUTE = 120;

export declare const MAX_MIDI_PITCH = 127;
export declare const MIDI_PITCHES: number;
export declare const MIN_MIDI_PROGRAM = 0;

@@ -19,0 +20,0 @@ export declare const MAX_MIDI_PROGRAM = 127;

@@ -20,2 +20,3 @@ "use strict";

exports.MAX_MIDI_PITCH = 127;
exports.MIDI_PITCHES = exports.MAX_MIDI_PITCH - exports.MIN_MIDI_PITCH + 1;
exports.MIN_MIDI_PROGRAM = 0;

@@ -22,0 +23,0 @@ exports.MAX_MIDI_PROGRAM = 127;

@@ -20,3 +20,4 @@ "use strict";

],
quantizationInfo: { stepsPerQuarter: 2 }
quantizationInfo: { stepsPerQuarter: 2 },
totalQuantizedSteps: 32,
});

@@ -38,2 +39,3 @@ var DRUM_NS = index_1.NoteSequence.create({

});
DRUM_NS.totalQuantizedSteps = 32;
var TRIO_NS = index_1.NoteSequence.create();

@@ -57,2 +59,3 @@ TRIO_NS.quantizationInfo =

});
TRIO_NS.totalQuantizedSteps = 32;
var MULTITRACK_NS = index_1.NoteSequence.create({

@@ -145,3 +148,5 @@ notes: [

t.deepEqual(drumOneHotTensor.shape, [32, 512]);
t.equal(tf.tidy(function () { return drumOneHotTensor.sum(1).equal(tf.scalar(1, 'int32')).sum().get(); }), 32);
t.equal(tf.tidy(function () {
return drumOneHotTensor.sum(1).equal(tf.scalar(1, 'int32')).sum().get();
}), 32);
var drumRollTensorOutput = drumRollTensor.slice([0, 0], [32, 9]);

@@ -148,0 +153,0 @@ drumRollConverter.toNoteSequence(drumRollTensorOutput, 2)

@@ -37,6 +37,6 @@ import * as tf from '@tensorflow/tfjs-core';

readonly numSegments: number;
readonly abstract depth: number;
readonly abstract endTensor: tf.Tensor1D;
readonly abstract NUM_SPLITS: number;
readonly abstract SEGMENTED_BY_TRACK: boolean;
abstract readonly depth: number;
abstract readonly endTensor: tf.Tensor1D;
abstract readonly NUM_SPLITS: number;
abstract readonly SEGMENTED_BY_TRACK: boolean;
abstract toTensor(noteSequence: INoteSequence): tf.Tensor2D;

@@ -127,6 +127,6 @@ abstract toNoteSequence(tensor: tf.Tensor2D, stepsPerQuarter: number): Promise<INoteSequence>;

constructor(args: MultitrackConverterArgs);
private trackToTensor(track?);
private trackToTensor;
toTensor(noteSequence: INoteSequence): tf.Tensor<tf.Rank.R2>;
private tokensToTrack(tokens);
private tokensToTrack;
toNoteSequence(oh: tf.Tensor2D, stepsPerQuarter?: number): Promise<NoteSequence>;
}

@@ -27,4 +27,4 @@ "use strict";

while (_) try {
if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [0, t.value];
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {

@@ -50,3 +50,2 @@ case 0: case 1: t = op; break;

var tf = require("@tensorflow/tfjs-core");
var util_1 = require("util");
var index_1 = require("../protobuf/index");

@@ -103,5 +102,3 @@ var constants = require("./constants");

_this.SEGMENTED_BY_TRACK = false;
_this.pitchClasses = util_1.isNullOrUndefined(args.pitchClasses) ?
exports.DEFAULT_DRUM_PITCH_CLASSES :
args.pitchClasses;
_this.pitchClasses = args.pitchClasses || exports.DEFAULT_DRUM_PITCH_CLASSES;
_this.pitchToClass = new Map();

@@ -161,2 +158,3 @@ var _loop_1 = function (c) {

}
noteSequence.totalQuantizedSteps = labels.length;
return [2, noteSequence];

@@ -208,3 +206,5 @@ }

return [3, 1];
case 4: return [2, noteSequence];
case 4:
noteSequence.totalQuantizedSteps = roll.shape[0];
return [2, noteSequence];
}

@@ -315,2 +315,3 @@ });

}
noteSequence.totalQuantizedSteps = labels.length;
return [2, noteSequence];

@@ -367,4 +368,4 @@ }

return __awaiter(this, void 0, void 0, function () {
var _a, _b, ohs, ns, bassNs, drumsNs;
var _this = this;
var ohs, ns, bassNs, drumsNs, _a, _b;
return __generator(this, function (_c) {

@@ -535,4 +536,4 @@ switch (_c.label) {

return __awaiter(this, void 0, void 0, function () {
var noteSequence, tensors, tracks;
var _this = this;
var noteSequence, tensors, tracks;
return __generator(this, function (_a) {

@@ -562,5 +563,5 @@ switch (_a.label) {

tracks.forEach(function (track, instrument) {
var _a;
track.setNumSteps(_this.totalSteps);
(_a = noteSequence.notes).push.apply(_a, track.toNoteSequence(instrument).notes);
var _a;
});

@@ -567,0 +568,0 @@ return [2, noteSequence];

@@ -9,1 +9,3 @@ import * as aux_inputs from './aux_inputs';

export * from './player';
export * from './recorder';
export * from './visualizer';

@@ -18,2 +18,4 @@ "use strict";

__export(require("./player"));
__export(require("./recorder"));
__export(require("./visualizer"));
//# sourceMappingURL=index.js.map

@@ -1,2 +0,2 @@

import { INoteSequence, NoteSequence } from '../protobuf/index';
import { INoteSequence, NoteSequence } from '../protobuf';
export declare class MidiConversionError extends Error {

@@ -3,0 +3,0 @@ constructor(message?: string);

@@ -14,4 +14,3 @@ "use strict";

var midiconvert = require("midiconvert");
var util_1 = require("util");
var index_1 = require("../protobuf/index");
var protobuf_1 = require("../protobuf");
var constants = require("./constants");

@@ -32,10 +31,10 @@ var sequences = require("./sequences");

var parsedMidi = midiconvert.parse(midi);
var ns = index_1.NoteSequence.create();
var ns = protobuf_1.NoteSequence.create();
ns.ticksPerQuarter = parsedMidi.header.PPQ;
ns.sourceInfo = index_1.NoteSequence.SourceInfo.create({
parser: index_1.NoteSequence.SourceInfo.Parser.TONEJS_MIDI_CONVERT,
encodingType: index_1.NoteSequence.SourceInfo.EncodingType.MIDI
ns.sourceInfo = protobuf_1.NoteSequence.SourceInfo.create({
parser: protobuf_1.NoteSequence.SourceInfo.Parser.TONEJS_MIDI_CONVERT,
encodingType: protobuf_1.NoteSequence.SourceInfo.EncodingType.MIDI
});
if (parsedMidi.header.timeSignature) {
ns.timeSignatures.push(index_1.NoteSequence.TimeSignature.create({
ns.timeSignatures.push(protobuf_1.NoteSequence.TimeSignature.create({
time: 0,

@@ -47,3 +46,3 @@ numerator: parsedMidi.header.timeSignature[0],

else {
ns.timeSignatures.push(index_1.NoteSequence.TimeSignature.create({
ns.timeSignatures.push(protobuf_1.NoteSequence.TimeSignature.create({
time: 0,

@@ -54,3 +53,3 @@ numerator: 4,

}
ns.tempos.push(index_1.NoteSequence.Tempo.create({ time: 0, qpm: parsedMidi.header.bpm }));
ns.tempos.push(protobuf_1.NoteSequence.Tempo.create({ time: 0, qpm: parsedMidi.header.bpm }));
var instrumentNumber = -1;

@@ -67,3 +66,3 @@ for (var _i = 0, _a = parsedMidi.tracks; _i < _a.length; _i++) {

var endTime = startTime + duration;
ns.notes.push(index_1.NoteSequence.Note.create({
ns.notes.push(protobuf_1.NoteSequence.Note.create({
instrument: instrumentNumber,

@@ -128,7 +127,6 @@ program: track.instrumentNumber,

notes: [],
isPercussion: util_1.isNullOrUndefined(notes[0].isDrum) ? false :
notes[0].isDrum,
isPercussion: (notes[0].isDrum === undefined) ? false : notes[0].isDrum,
channelNumber: notes[0].isDrum ? constants.DRUM_CHANNEL :
constants.DEFAULT_CHANNEL,
instrumentNumber: util_1.isNullOrUndefined(notes[0].program) ?
instrumentNumber: (notes[0].program === undefined) ?
constants.DEFAULT_PROGRAM :

@@ -138,3 +136,3 @@ notes[0].program

track.notes = notes.map(function (note) {
var velocity = util_1.isNullOrUndefined(note.velocity) ?
var velocity = (note.velocity === undefined) ?
constants.DEFAULT_VELOCITY :

@@ -141,0 +139,0 @@ note.velocity;

@@ -1,2 +0,2 @@

import { INoteSequence, NoteSequence } from '../protobuf/index';
import { INoteSequence, NoteSequence } from '../protobuf';
export declare abstract class BasePlayerCallback {

@@ -15,3 +15,3 @@ abstract run(n: NoteSequence.INote, t?: number): void;

setTempo(qpm: number): void;
private makeClickSequence(seq);
private makeClickSequence;
start(seq: INoteSequence, qpm?: number): Promise<void>;

@@ -26,3 +26,3 @@ stop(): void;

protected playNote(time: number, note: NoteSequence.INote): void;
private getSynth(instrument, program?);
private getSynth;
}

@@ -29,0 +29,0 @@ export declare class SoundFontPlayer extends BasePlayer {

@@ -27,4 +27,4 @@ "use strict";

while (_) try {
if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [0, t.value];
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {

@@ -304,3 +304,3 @@ case 0: case 1: t = op; break;

else {
this.synths.set(instrument, new Tone.Synth().toMaster());
this.synths.set(instrument, new Tone.PolySynth(10).toMaster());
}

@@ -307,0 +307,0 @@ return this.synths.get(instrument);

@@ -28,5 +28,5 @@ export interface SampleInfo {

initialize(): Promise<void>;
private sampleInfoToName(sampleInfo);
private sampleNameToURL(name);
private nearestVelocity(velocity);
private sampleInfoToName;
private sampleNameToURL;
private nearestVelocity;
loadSamples(samples: SampleInfo[]): Promise<void>;

@@ -33,0 +33,0 @@ playNote(pitch: number, velocity: number, startTime: number, duration: number, output: any): void;

@@ -17,4 +17,4 @@ "use strict";

while (_) try {
if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [0, t.value];
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {

@@ -103,4 +103,4 @@ case 0: case 1: t = op; break;

return __awaiter(this, void 0, void 0, function () {
var nearestSampleNames, uniqueSampleNames, sampleNamesAndURLs;
var _this = this;
var nearestSampleNames, uniqueSampleNames, sampleNamesAndURLs;
return __generator(this, function (_a) {

@@ -204,4 +204,4 @@ switch (_a.label) {

return __awaiter(this, void 0, void 0, function () {
var instrumentSamples;
var _this = this;
var instrumentSamples;
return __generator(this, function (_a) {

@@ -208,0 +208,0 @@ switch (_a.label) {

import * as tf from '@tensorflow/tfjs';
export { tf };
export * from './core/index';
export * from './music_rnn/index';
export * from './music_vae/index';
export * from './protobuf/index';
export * from './core';
export * from './music_rnn';
export * from './music_vae';
export * from './protobuf';
export * from './transcription';

@@ -8,6 +8,7 @@ "use strict";

exports.tf = tf;
__export(require("./core/index"));
__export(require("./music_rnn/index"));
__export(require("./music_vae/index"));
__export(require("./protobuf/index"));
__export(require("./core"));
__export(require("./music_rnn"));
__export(require("./music_vae"));
__export(require("./protobuf"));
__export(require("./transcription"));
//# sourceMappingURL=index.js.map

@@ -33,2 +33,3 @@ "use strict";

AttentionWrapper.prototype.call = function (input, c, h, state) {
var _a;
var nextAttnInput = tf.concat([input, state.attention.as2D(1, -1)], 1);

@@ -59,3 +60,2 @@ var nextRnnInput = tf.add(tf.matMul(nextAttnInput, this.attnInputMatrix), this.attnInputBias.as2D(1, -1));

return { output: output, c: c, h: h, attentionState: { attention: attention, attentionState: attentionState } };
var _a;
};

@@ -62,0 +62,0 @@ return AttentionWrapper;

@@ -29,3 +29,3 @@ import * as aux_inputs from '../core/aux_inputs';

isInitialized(): boolean;
private instantiateFromSpec();
private instantiateFromSpec;
initialize(): Promise<void>;

@@ -38,4 +38,4 @@ dispose(): void;

}>;
private continueSequenceImpl(sequence, steps, temperature?, chordProgression?, returnProbs?);
private sampleRnn(inputs, steps, temperature, controls?, auxInputs?, returnProbs?);
private continueSequenceImpl;
private sampleRnn;
}

@@ -17,4 +17,4 @@ "use strict";

while (_) try {
if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [0, t.value];
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {

@@ -70,4 +70,4 @@ case 0: case 1: t = op; break;

return __awaiter(this, void 0, void 0, function () {
var vars, hasAttention, rnnPrefix, l, _loop_1, this_1, state_1;
var _this = this;
var vars, hasAttention, rnnPrefix, l, _loop_1, this_1, state_1;
return __generator(this, function (_a) {

@@ -167,4 +167,4 @@ switch (_a.label) {

return __awaiter(this, void 0, void 0, function () {
var oh, samplesAndProbs, result, probs, i, _a, _b;
var _this = this;
var oh, samplesAndProbs, result, probs, i, _a, _b;
return __generator(this, function (_c) {

@@ -230,2 +230,3 @@ switch (_c.label) {

MusicRNN.prototype.sampleRnn = function (inputs, steps, temperature, controls, auxInputs, returnProbs) {
var _a;
var length = inputs.shape[0];

@@ -253,16 +254,14 @@ var outputSize = inputs.shape[1];

else {
var logits = lastOutput.matMul(this.lstmFcW).add(this.lstmFcB);
var logits = lastOutput.matMul(this.lstmFcW).add(this.lstmFcB).as1D();
var sampledOutput = void 0;
if (returnProbs || temperature) {
var theseProbs = temperature ?
tf.softmax(logits.div(tf.scalar(temperature))) :
tf.softmax(logits);
probs.push(theseProbs);
sampledOutput =
tf.multinomial(theseProbs, 1, undefined, true)
.as1D();
if (temperature) {
logits = logits.div(tf.scalar(temperature));
sampledOutput = tf.multinomial(logits, 1).as1D();
}
else {
sampledOutput = logits.argMax(1).as1D();
sampledOutput = logits.argMax().as1D();
}
if (returnProbs) {
probs.push(tf.softmax(logits));
}
nextInput = tf.oneHot(sampledOutput, outputSize).toFloat();

@@ -296,3 +295,2 @@ samples.push(nextInput.as1D().toBool());

return { samples: samples, probs: probs };
var _a;
};

@@ -299,0 +297,0 @@ return MusicRNN;

@@ -42,15 +42,15 @@ import * as tf from '@tensorflow/tfjs-core';

constructor(checkpointURL: string, spec?: MusicVAESpec);
private instantiateFromSpec();
private instantiateFromSpec;
dispose(): void;
private getLstmLayers(cellFormat, vars);
private getLstmLayers;
initialize(): Promise<void>;
isInitialized(): boolean;
interpolate(inputSequences: INoteSequence[], numInterps: number | number[], temperature?: number, chordProgression?: string[]): Promise<INoteSequence[]>;
private getSegmentLengths(inputTensors);
private encodeChordProgression(chordProgression);
private getSegmentLengths;
private encodeChordProgression;
encode(inputSequences: INoteSequence[], chordProgression?: string[]): Promise<tf.Tensor<tf.Rank.R2>>;
decode(z: tf.Tensor2D, temperature?: number, chordProgression?: string[], stepsPerQuarter?: number): Promise<INoteSequence[]>;
private getInterpolatedZs(z, numInterps);
private getInterpolatedZs;
sample(numSamples: number, temperature?: number, chordProgression?: string[], stepsPerQuarter?: number): Promise<INoteSequence[]>;
}
export { LayerVars, Encoder, Decoder, Nade, MusicVAE };
export { LayerVars, Encoder, Decoder, Nade, MusicVAE, };

@@ -27,4 +27,4 @@ "use strict";

while (_) try {
if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [0, t.value];
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {

@@ -204,2 +204,3 @@ case 0: case 1: t = op; break;

return tf.tidy(function () {
var _a;
var lstmCell = initLstmCells(z, _this.lstmCellVars, _this.zToInitStateVars);

@@ -235,3 +236,2 @@ var samples = [];

return tf.stack(samples, 1);
var _a;
});

@@ -258,2 +258,3 @@ };

return tf.tidy(function () {
var _a;
var lstmCell = initLstmCells(z, _this.lstmCellVars, _this.zToInitStateVars);

@@ -276,3 +277,2 @@ var samples = [];

return tf.concat(samples, 1);
var _a;
});

@@ -350,4 +350,4 @@ };

return __awaiter(this, void 0, void 0, function () {
var LSTM_CELL_FORMAT, MUTLI_LSTM_CELL_FORMAT, CONDUCTOR_PREFIX, BIDI_LSTM_CELL, ENCODER_FORMAT, HIER_ENCODER_FORMAT, vars, encMu, fwLayers_1, bwLayers_1, baseEncoders, fwLayers, bwLayers, decVarPrefix, decVarPrefixes, i, baseDecoders, condLstmLayers, condZtoInitState;
var _this = this;
var LSTM_CELL_FORMAT, MUTLI_LSTM_CELL_FORMAT, CONDUCTOR_PREFIX, BIDI_LSTM_CELL, ENCODER_FORMAT, HIER_ENCODER_FORMAT, vars, encMu, fwLayers_1, bwLayers_1, baseEncoders, fwLayers, bwLayers, decVarPrefix, decVarPrefixes, i, baseDecoders, condLstmLayers, condZtoInitState;
return __generator(this, function (_a) {

@@ -451,4 +451,4 @@ switch (_a.label) {

return __awaiter(this, void 0, void 0, function () {
var inputZs, interpZs, outputSequenes;
var _this = this;
var inputZs, interpZs, outputSequenes;
return __generator(this, function (_a) {

@@ -482,4 +482,4 @@ switch (_a.label) {

return __awaiter(this, void 0, void 0, function () {
var numSteps, numSegments, isEndTensor, isEndArray, maxSegmentLength, segmentLengths, offset, fromIndex;
var _this = this;
var numSteps, numSegments, isEndTensor, isEndArray, maxSegmentLength, segmentLengths, offset, fromIndex;
return __generator(this, function (_a) {

@@ -533,4 +533,4 @@ switch (_a.label) {

return __awaiter(this, void 0, void 0, function () {
var inputTensors, segmentLengths, _a, newInputTensors, z;
var _this = this;
var inputTensors, segmentLengths, _a, newInputTensors, z;
return __generator(this, function (_b) {

@@ -585,4 +585,4 @@ switch (_b.label) {

return __awaiter(this, void 0, void 0, function () {
var numSteps, ohSeqs, outputSequences, _i, ohSeqs_1, oh, _a, _b;
var _this = this;
var numSteps, ohSeqs, outputSequences, _i, ohSeqs_1, oh, _a, _b;
return __generator(this, function (_c) {

@@ -678,4 +678,4 @@ switch (_c.label) {

return __awaiter(this, void 0, void 0, function () {
var randZs, outputSequenes;
var _this = this;
var randZs, outputSequenes;
return __generator(this, function (_a) {

@@ -682,0 +682,0 @@ switch (_a.label) {

{
"name": "@magenta/music",
"version": "1.1.9",
"version": "1.1.10",
"description": "Make music in the browser with machine learning.",

@@ -10,15 +10,18 @@ "main": "es5/index.js",

"dependencies": {
"@tensorflow/tfjs": "^0.12.4",
"@tensorflow/tfjs": "^0.12.5",
"midiconvert": "^0.4.7",
"protobufjs": "^6.8.6",
"tonal": "^1.1.3",
"tone": "^0.12.80",
"util": "^0.10.3"
"tone": "^0.12.80"
},
"devDependencies": {
"@types/clone": "^0.1.30",
"@types/file-saver": "^1.3.0",
"@types/tape": "^4.2.32",
"@types/webmidi": "^2.0.2",
"browserify": "^14.4.0",
"clang-format": "^1.2.3",
"clone": "^1.0.4",
"file-saver": "^1.3.8",
"file-saver-typescript": "^1.0.1",
"fs": "^0.0.1-security",

@@ -43,3 +46,3 @@ "http-server": "^0.11.1",

"proto": "pbjs --force-number -t static-module -w commonjs -o src/protobuf/proto.js ../../protobuf/music.proto && pbts -o src/protobuf/proto.d.ts src/protobuf/proto.js",
"doc": "typedoc --sourcefile-url-prefix 'https://github.com/tensorflow/magenta-js/tree/master/music/src/' --out ../docs/music src --mode modules --excludePrivate --exclude '**/*+(index|test).ts' --excludeExternals"
"doc": "sh generate-docs.sh"
},

@@ -46,0 +49,0 @@ "author": "Magenta",

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