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Paddle-js
未验证 提交 3687a96f 编写于 作者: H haozech 提交者： GitHub
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Merge pull request #8 from haozech/develop_chz 

compataible with webgl1.0; rewrite sorting algorithm of ops; fix bugs
上级 6c40834f 63120052
隐藏空白更改
内联 并排
Showing with 1341 addition and 1232 deletion
src/feed/ImageFeed.es6
浏览文件 @ 3687a96f
......@@ -151,8 +151,6 @@ export default class imageFeed {
}
}
}
console.log('this is the end of reshapetorgb !!!');
console.dir(result);
return result;
};
......@@ -164,7 +162,6 @@ export default class imageFeed {
* @return {Object} 缩放后的尺寸
*/
reSize(image, params) {
console.log('execute resize!!');
// 原始图片宽高
const width = this.pixelWidth;
const height = this.pixelHeight;
......@@ -192,7 +189,6 @@ export default class imageFeed {
* 根据scale缩放图像并且缩放成目标尺寸并居中
*/
resizeAndFitTargetSize(image, params){
console.log('execute resizeAndFitTargetSize!!');
// 原始图片宽高
const width = this.pixelWidth;
const height = this.pixelHeight;
......@@ -249,7 +245,6 @@ export default class imageFeed {
sh = Math.round(sw * this.pixelHeight / this.pixelWidth);
y = Math.floor((targetHeight - sh) / 2);
}
// console.log(x, y, sw, sh);
if (center) {
this.fromPixels2DContext.drawImage(
image, x, y, sw, sh);
......@@ -327,24 +322,18 @@ export default class imageFeed {
data = this.resizeAndFitTargetSize(pixels, opt);
data2 = this.fromPixels2DContext2.getImageData(0, 0, this.pixelWidth, this.pixelHeight);
}
else if (opt.scale) { // 兼容以前的，如果有scale就是短边缩放到scale模式
else if (opt.scale) { // 直接resize到targetShape Humanseg的情况
scaleSize = this.reSize(pixels, opt);
console.dir(scaleSize);
console.dir(pixels);
data = this.getImageData(opt, 0, 0, scaleSize);
data2 = this.fromPixels2DContext2.getImageData(0, 0, this.pixelWidth, this.pixelHeight);
}
else if (opt.targetSize) { // 如果有targetSize，就是装在目标宽高里的模式 TinyYolo的情况
scaleSize = this.fitToTargetSize(pixels, opt);
data = this.getImageData(opt, 0, 0, scaleSize);
data2 = this.fromPixels2DContext2.getImageData(0, 0, this.pixelWidth, this.pixelHeight);
}
}
if (opt.gray) {
data = grayscale(data);
}
......@@ -359,6 +348,7 @@ export default class imageFeed {
else if (opt.targetShape) {
data = this.allReshapeToRGB(data, opt, scaleSize);
}
return [{data: data, shape: opt.shape || opt.targetShape, name: 'image', canvas: data2}];
}
}
......
src/gpu/gpu.es6
浏览文件 @ 3687a96f
......@@ -51,6 +51,10 @@ export default class gpu {
console.log('float extension is started or not? ' + !!this.textureFloat);
}
}
this.maxTextureSize = gl.getParameter(gl.MAX_TEXTURE_SIZE);
this.maxTextureImageUnits = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);
// 关闭相关功能
gl.disable(gl.DEPTH_TEST);
gl.disable(gl.STENCIL_TEST);
......@@ -67,14 +71,22 @@ export default class gpu {
this.waits = 0;
console.log('WebGl版本是 ' + this.version);
console.log('MAX_TEXTURE_SIZE is ' + gl.getParameter(gl.MAX_TEXTURE_SIZE));
console.log('MAX_TEXTURE_IMAGE_UNITS is ' + gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS));
console.log('MAX_TEXTURE_SIZE is ' + this.maxTextureSize);
console.log('MAX_TEXTURE_IMAGE_UNITS is ' + this.maxTextureImageUnits);
}
getWebglVersion() {
return this.version;
}
getWebglMaxTextureSize() {
return this.maxTextureSize;
}
getWebglMaxTextureImageUnits() {
return this.maxTextureImageUnits;
}
initCache() {
// 运行次数
this.times = 0;
......@@ -145,7 +157,6 @@ export default class gpu {
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
gl.texImage2D(gl.TEXTURE_2D, // Target, matches bind above.
0, // Level of detail.
this.downloadInternalFormat, // Internal format.
......@@ -346,6 +357,7 @@ export default class gpu {
} else {
// texture = gl.createTexture();
if (isRendered && (iLayer > 0 || (iLayer === 0 && item.tensor !== 'origin'))) {
const tData = this.cacheTextures['' + iLayer];
texture = tData[item.variable + '_' + item.tensor];
} else {
......@@ -361,6 +373,7 @@ export default class gpu {
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
if (this.version == 2){
gl.texImage2D(gl.TEXTURE_2D,
0,
this.internalFormat,
......@@ -369,8 +382,27 @@ export default class gpu {
0,
this.textureFormat,
gl.FLOAT,
item.data,
0);
item.data);
}
else {
let oneSize = item.width_texture * item.height_texture;
let temp = new Float32Array(item.width_texture * item.height_texture * 4);
for (let i = 0; i < item.data.length; i++){
temp[i*4] = (item.data[i]);
temp[i*4+1] = 0;
temp[i*4+2] = 0;
temp[i*4+3] = 0;
}
gl.texImage2D(gl.TEXTURE_2D,
0,
gl.RGBA,
item.width_texture,
item.height_texture,
0,
gl.RGBA,
gl.FLOAT,
temp);
}
}
}
......@@ -389,7 +421,7 @@ export default class gpu {
// 生成帧缓存的texture
makeTexure(type, data, opts = {}) {
const gl = this.gl;
let index = this.textureBufferIndex % 2;
let index = int(mod(float(this.textureBufferIndex), 2.0));
let texture = this.textureBuffer[index];
gl.bindTexture(gl.TEXTURE_2D, texture);
......@@ -429,6 +461,7 @@ export default class gpu {
}
createPBO() {
if (this.version == 2){
const gl2 = this.gl;
const buffer = this.pbo;
gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);
......@@ -437,42 +470,40 @@ export default class gpu {
gl2.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl2.RGBA, gl2.FLOAT, 0);
gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);
return buffer;
}
else {
let buffer = new Float32Array(this.width_texture_out * this.height_texture_out * 4);
const gl2 = this.gl;
gl2.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl2.RGBA, gl2.FLOAT, buffer);
return buffer;
}
}
downloadFoat32TensorFromBuffer(buffer) {
const gl2 = this.gl;
const size = 4 * this.width_texture_out * this.height_texture_out;
if (this.version == 2){
const pixels = new Float32Array(size);
gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);
gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, pixels);
gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);
// log.start('后处理-readloop');
// let result = [];
// let offset = 0;
// for (let h = 0; h < this.height_texture_out; h++) {
// // 纪录第1和2行数据
// let temp1 = [];
// let temp2 = [];
// for (let w = 0; w < this.width_texture_out; w++) {
// temp1.push(pixels[offset]);
// temp1.push(pixels[offset + 1]);
// temp2.push(pixels[offset + 2]);
// temp2.push(pixels[offset + 3]);
// offset += 4;
// }
// result = result.concat(temp1);
// result = result.concat(temp2);
// }
let result = [];
for (let i = 0; i < this.width_texture_out * this.height_texture_out; i++) {
result.push(pixels[4 * i]);
}
// const result = Array.prototype.slice.call(pixels);
// console.dir(['result', result]);
// log.end('后处理-readloop');
return result;
}
else {
let pixels = buffer;
let result = [];
for (let i = 0; i < this.width_texture_out * this.height_texture_out; i++) {
result.push(pixels[4 * i]);
}
return result;
}
}
getWebglError(status) {
const gl2 = this.gl;
switch (status) {
......@@ -497,7 +528,7 @@ export default class gpu {
createAndWaitForFence() {
const gl2 = this.gl;
const isFenceEnabled = (gl2.fenceSync !== null);
const isFenceEnabled = (gl2.fenceSync != null);
let isFencePassed = () => true;
if (isFenceEnabled) {
const sync = gl2.fenceSync(gl2.SYNC_GPU_COMMANDS_COMPLETE, 0);
......@@ -531,10 +562,8 @@ export default class gpu {
let pixels = new Float32Array(this.width_texture_out * this.height_texture_out * 4);
// gl.pixelStorei(gl.UNPACK_ALIGNMENT, 1);
const tt2 = +Date.now();
gl.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl.RGBA, gl.FLOAT, pixels, 0);
gl.readPixels(0, 0, this.width_texture_out, this.height_texture_out, gl.RGBA, gl.FLOAT, pixels);
// console.log('本次读取数据时间是' + (+Date.now() - tt2)+ ',' + (tt2 - tt));
// log.end('后处理-readinside');
// log.start('后处理-readloop');
let result = [];
for (let i = 0; i < this.width_texture_out * this.height_texture_out; i++) {
result.push(pixels[4 * i]);
......
src/graph/graph.es6
浏览文件 @ 3687a96f
/* eslint-disable */
import GraphExecutor from '../executor/executor';
import IO from '../feed/imageFeed';
import Runtime from '../runtime/runtime';
import OpData from '../utils/opData';
import Factory from '../factory/fshader/factory';
......@@ -92,9 +91,14 @@ export default class Graph {
return;
}
opindex++;
// console.log(opindex);
//if (executor.opData) console.log(executor.opData.iLayer);
executor.execute(this.inst, this.isExecuted);
if (false && executor.opData && opindex >= 184){
console.log('return!');
console.dir(executor);
console.dir(executor.type);
console.dir(this);
return;
}
if (executor.next) {
const id = executor.next;
const next = this.getTensor(id);
......@@ -199,105 +203,63 @@ export default class Graph {
});
}
execute_try(temp, ops, idtoindex, executed, inline, prev){
console.log('execute_try!first look at this op');
console.log(ops[temp]);
let canrun = this.checkifcanrun(temp, ops, idtoindex, executed);
if (canrun === false) {
// console.log('canrun === false!');
var a = inline.pop();
this.execute_try(idtoindex[a.id], ops, idtoindex, executed, inline, prev);
return;
}
if (prev >=0) {
ops[prev].next = ops[temp].id;
}
ops[temp].outputsName.forEach(function(item, index) {
executed[item] = true;
})
let next = this.getNextByOp(ops, ops[temp]);
// console.log('this is its next:');
// console.dir(next);
while (next.length === 1) {
let flag = true;
for (let i = 0; i < next[0].inputsName.length; i++){
if (executed[next[0].inputsName[i]] === false) flag = false;
}
if (flag === false) {
// console.log('can not execute next now! jump to another op:');
if (inline.length === 0) return;
prev = temp;
let a = inline.pop();
// console.dir(a);
ops[temp].next = a.id;
temp = idtoindex[a.id];
this.execute_try(temp, ops, idtoindex, executed, inline, prev);
return;
}
else {
// console.log('now execute next op! it is');
ops[temp].next = next[0].id;
temp = idtoindex[next[0].id];
// console.dir(ops[temp]);
next = this.getNextByOp(ops, ops[temp]);
// console.log('its next is: ');
ops[temp].outputsName.forEach(function(item, index) {
executed[item] = true;
})
// console.dir(next);
}
}
if (next.length > 1){
// console.log('next.length > 1!!!');
for (let i = next.length - 1; i >=0 ; i--){
inline.push(next[i]);
}
var a = inline.pop();
this.execute_try(idtoindex[a.id], ops, idtoindex, executed, inline, temp);
}
return;
}
arrangeMap(ops) {
// console.log('arrangeMap!');
// console.dir(ops);
var idtoindex = {};
var executed = {};
var inline = [];
var inIndex = [];
var idtoindex = {};
let temp = 0;
// console.log('graph ops:');
// console.dir(ops);
let ops1 = ops;
ops1.forEach(function(item, index) {
idtoindex[item.id] = index;
// console.dir(item);
item.outputsName.forEach(function(i, idx){
executed[i] = false;
executed[i] = true;
})
});
//ops[0].inputsName[0] = {name : "feed"};
// ops[0].outputsName[0] = {name : "image"};
this.execute_try(temp, ops, idtoindex, executed, inline, -1);
ops1.forEach(function(item, index) {
inIndex[index] = 0;
idtoindex[item.id] = index;
if (item.inputsName.length > 1) {
item.inputsName.forEach(function(i,idx){
if (executed[i] == true) inIndex[index]++;
})
}
else inIndex[index] = item.inputsName.length;
});
this.topoSort(ops, inIndex, idtoindex);
return ops;
}
checkifcanrun(temp, ops, executed){
if (!ops[temp].inputsName) return true;
for (let i = 0; i < ops[temp].inputsName.length; i++){
if (executed[ops[temp].inputsName[i]] === false) return false;
topoSort(ops, inIndex, idtoindex){
var inline = [];
inline.push(ops[0]);
let ops_temp = ops.slice(0);
let prev = null;
let a = ops[0];
while(inline.length > 0){
if (prev != null) ops[idtoindex[prev.id]].next = a.id;
prev = a;
a = inline.pop();
for (let i = 0; i < a.outputsName.length; i++){
for (let k = 0; k < ops_temp.length; k++){
for (let j = 0; j < ops_temp[k].inputsName.length; j++){
if (ops_temp[k].inputsName[j] == a.outputsName[i]) {
inIndex[idtoindex[ops_temp[k].id]]--;
if (inIndex[idtoindex[ops_temp[k].id]] == 0){
inline.push(ops[idtoindex[ops_temp[k].id]]);
ops_temp.splice(k,1);
k--;
break;
}
}
}
}
}
}
return true;
}
/**
* Get Ops Nets Start Node
* @param ops
......@@ -348,8 +310,6 @@ export default class Graph {
* @returns {*}
*/
createOpsMap(ops) {
// console.log('ops!!');
// console.dir(ops);
return ops.map((item, idx) => {
item.idx = idx;
const graphExecutor = new GraphExecutor(item);
......@@ -372,17 +332,6 @@ export default class Graph {
});
}
getNextByOp(ops, op) {
return ops.filter((item, key) => {
for (let i = 0; i < item.inputsName.length; i++) {
for(let j = 0; j < op.outputsName.length; j++) {
if (item.inputsName[i] === op.outputsName[j]) {
return true;
}
}
}
});
}
/**
* dispose
*/
......
src/loader/loader.es6
浏览文件 @ 3687a96f
......@@ -109,8 +109,9 @@ export default class Loader {
const TMP_REGEX = /\-/;
let requesterArr = arr.map(item => {
if (item.name
&& item.name.match(TMP_SCHEME_REGEX) === null
&& item.name.match(TMP_REGEX) === null) {
// && item.name.match(TMP_SCHEME_REGEX) === null
// && item.name.match(TMP_REGEX) === null
) {
return this.fetchData(item.name).then(data => item.data = data);
}
return Promise.resolve();
......@@ -124,9 +125,9 @@ export default class Loader {
let marker = 0; // 读到哪个位置了
let len; // 当前op长度
arr.filter(item => {
return item.name
&& item.name.match(TMP_SCHEME_REGEX) === null
&& item.name.match(TMP_REGEX) === null;
return item.name;
// && item.name.match(TMP_SCHEME_REGEX) === null
// && item.name.match(TMP_REGEX) === null;
})
// .sort((a, b) => {
// if (a.name > b.name) {
......
src/paddle/paddle.es6
浏览文件 @ 3687a96f
......@@ -48,13 +48,9 @@ export default class Paddle {
that.graph = graph;
that.graph.data = artifacts.data;
that.graph.formatWeight(that.graph.data.vars);
const opsMap = that.graph.createOpsMap(that.graph.data.ops, that.graph.data.vars);
const opsMap = that.graph.createOpsMap(that.graph.data.ops);
const opsMap1 = that.graph.constructOpsMap(opsMap);
// console.log('opsMap1!');
// console.dir(opsMap1);
const opsMap2 = that.graph.arrangeMap(opsMap1);
// console.log('opsMap2!');
// console.dir(opsMap2);
that.graph.weightMap = opsMap2;
}
/**
......@@ -68,10 +64,10 @@ export default class Paddle {
this.feed = this.graph.feed = inputs;
// 生成op数据
if (!this.graph.isExecuted) {
this.graph.weightMap.forEach(op => {
this.graph.weightMap.forEach((op, index) => {
const type = op.type;
if (type !== 'feed' && type !== 'fetch') {
console.log(op.type);
that.graph.buildOpData(op);
}
});
......@@ -81,7 +77,6 @@ export default class Paddle {
}
updateFeed() {
this.graph.feedItem.data = this.graph.feed.input[0].data;
// Utils.img2texture(this.graph.feedItem);
}
/**
* dispose
......
src/runtime/runtime.es6
浏览文件 @ 3687a96f
......@@ -2,9 +2,6 @@
import Gpu from '../gpu/gpu';
import getMaxUniforms from '../test/getMaxUniforms';
import Factory from '../factory/fshader/factory';
// import {getTextureShapeInfo} from '../utils/opData';
// 生成factory实例
// const factory = new Factory({});
/**
* @file gpu运行时
* @author wangqun@baidu.com, yangmingming@baidu.com
......@@ -29,6 +26,14 @@ export default {
return this.gpu.getWebglVersion();
},
getWebglMaxTextureSize() {
return this.gpu.maxTextureSize();
},
getWebglMaxTextureImageUnits() {
return this.gpu.maxTextureImageUnits();
},
run(opName, opData, isRendered) {
// console.dir(['fscode', opData.fsCode]);
// let time = +Date.now();
......@@ -64,6 +69,7 @@ export default {
this.gpu.render(opData.renderData, opData.iLayer, isRendered);
// }
});
},
/**
......
src/shader/atom/getValueFromTensorPos.es6
浏览文件 @ 3687a96f
......@@ -7,29 +7,38 @@
export default `
// 根据tensor坐标获取这个tensor位置的值
float getValueFromTensorPos_TENSOR_NAME(int r, int g, int b, int a) {
vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,
vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,
vec2(
(float(a * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),
(float(a * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),
(float(r * height_shape_TENSOR_NAME + b) + 0.5) / float(height_texture_TENSOR_NAME)
)
);
// 只用了r通道
return pixels.r;
}
// 紧凑型布局根据tensor坐标获取这个tensor位置的值
// 超限布局根据tensor坐标获取这个tensor位置的值
float getValueFromTensorPosLimit_TENSOR_NAME(int r, int g, int b, int a) {
float halfW = ceil(float(width_shape_TENSOR_NAME) / 2.0);
int x = int(mod(float(a), halfW));
float pieceW = ceil(float(width_shape_TENSOR_NAME) / 4.0);
int x = int(mod(float(a), pieceW));
int offsetY = 0;
if (a > x) {
if ((float(a) / pieceW) >= 3.0) {
offsetY = 3 * height_shape_TENSOR_NAME;
}
else if (float(a) / pieceW >= 2.0) {
offsetY = 2 * height_shape_TENSOR_NAME;
}
else if (float(a) >= pieceW) {
offsetY = height_shape_TENSOR_NAME;
}
vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,
vec4 pixels = TEXTURE2D(texture_TENSOR_NAME,
vec2(
(float(x * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),
(float(r * 2 * height_shape_TENSOR_NAME + b + offsetY) + 0.5) / float(height_texture_TENSOR_NAME)
(float(x * channel_TENSOR_NAME + g) + 0.5) / float(width_texture_TENSOR_NAME),
(float(r * 4 * height_shape_TENSOR_NAME + b + offsetY) + 0.5) / float(height_texture_TENSOR_NAME)
)
);
return pixels.r;
}
`;
src/shader/atom/prefix.es6
浏览文件 @ 3687a96f
......@@ -8,11 +8,13 @@ export default `
precision highp float;
precision highp int;
#else
precision mediump float;
precision mediump int;
precision highp float;
precision highp int;
#endif
varying vec2 vCoord;
varying vec4 outColor;
void setOutput(float result) {
gl_FragColor.r = result;
gl_FragColor.r = result;
}
`;
src/shader/atom/suffix.es6
浏览文件 @ 3687a96f
......@@ -15,17 +15,18 @@ ivec4 getOutputTensorPos() {
return ivec4(b, c, y, x);
}
ivec4 getOutputTensorPosLimit() {
// 获取原始长度
vec2 outCoord = vCoord.xy * _2d_shape_texture_out;
float offsetY = floor(outCoord.y / float(height_shape_out));
int x = int(outCoord.x / float(channel_out));
if (mod(offsetY, 2.0) > 0.0) {
x += int(ceil(float(width_shape_out) / 2.0));
if (mod(offsetY, 4.0) > 0.0) {
x += int(mod(offsetY, 4.0)) * int(ceil(float(width_shape_out) / 4.0));
}
int y = int(mod(outCoord.y, float(height_shape_out)));
int c = int(mod(outCoord.x, float(channel_out)));
int b = int(outCoord.y / float(2 * height_shape_out));
int b = int(outCoord.y / float(4 * height_shape_out));
return ivec4(b, c, y, x);
}
......
src/shader/atom/transferFromNHWCtoNCHW.es6
浏览文件 @ 3687a96f
......@@ -10,13 +10,13 @@ export default `
ivec4 transferFromNHWCtoNCHW( int sumVal, const int channel, const int width_shape, const int height_shape, const int total_shape) {
int n_origin = int(total_shape/(channel * width_shape * height_shape));
int new_a = sumVal % width_shape;
int new_a = int(mod(float(sumVal), float(width_shape)));
sumVal = int((sumVal - new_a) / width_shape);
int new_b = sumVal % height_shape;
int new_b = int(mod(float(sumVal), float(height_shape)));
sumVal = int((sumVal - new_b) / height_shape);
int new_g = sumVal % channel;
int new_g = int(mod(float(sumVal), float(channel)));
sumVal = int((sumVal - new_g) / channel);
int new_r = sumVal % n_origin;
int new_r = int(mod(float(sumVal), float(n_origin)));
return ivec4(new_r,new_g,new_b,new_a);
}
`;
src/shader/batchnorm/main.es6
浏览文件 @ 3687a96f
......@@ -7,14 +7,14 @@ export default `
// start函数
void main(void) {
// 输出数据
ivec4 oPos = getOutputTensorPos();
float o = getValueFromTensorPos_origin(oPos.r, oPos.g, oPos.b, oPos.a);
ivec4 oPos = getOutputTensorPosLIMIT_OUT();
float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);
// 归一化数据
vec4 scale = getPixelsFromTexturePos_texture_scale(vec2( float(oPos.g) / float(width_texture_scale), 0.0));
vec4 bias = getPixelsFromTexturePos_texture_bias(vec2((float(oPos.g)) / float(width_texture_bias), 0.0));
vec4 mean = getPixelsFromTexturePos_texture_mean(vec2((float(oPos.g)) / float(width_texture_mean), 0.0));
vec4 variance = getPixelsFromTexturePos_texture_variance(vec2((float(oPos.g)) / float(width_texture_variance), 0.0));
vec4 scale = getPixelsFromTexturePos_texture_scale(vec2((float(oPos.g) + 0.5) / float(width_texture_scale), 0.0));
vec4 bias = getPixelsFromTexturePos_texture_bias(vec2((float(oPos.g) + 0.5) / float(width_texture_bias), 0.0));
vec4 mean = getPixelsFromTexturePos_texture_mean(vec2((float(oPos.g) + 0.5) / float(width_texture_mean), 0.0));
vec4 variance = getPixelsFromTexturePos_texture_variance(vec2((float(oPos.g) + 0.5) / float(width_texture_variance), 0.0));
float x = (o - mean[0]) / sqrt(variance[0] + epsilon);
float res = scale[0] * x + bias[0];
......
src/shader/bilinear_interp/conf.es6 0 → 100644
浏览文件 @ 3687a96f
/* eslint-disable */
/**
* @file bilinear_interp的配置文件
* @author chenhaoze
*/
export default {
dep: [
{
func: 'getValueFromTensorPos',
conf: {
TENSOR_NAME: 'origin'
}
},
{
func: 'transferFromNHWCtoNCHW',
conf:{
}
}
],
conf: [
'WIDTH_SHAPE_ORIGIN',
'HEIGHT_SHAPE_ORIGIN',
'LENGTH_SHAPE_ORIGIN',
'WIDTH_TEXTURE_ORIGIN',
'HEIGHT_TEXTURE_ORIGIN',
'CHANNEL_ORIGIN',
'WIDTH_SHAPE_OUT',
'HEIGHT_SHAPE_OUT',
'WIDTH_TEXTURE_OUT',
'HEIGHT_TEXTURE_OUT',
'CHANNEL_OUT',
'OFFSET_Y_OUT',
'MULTI_VALUE',
'BIAS_VALUE',
'ACTIVE_FUNCTION'
],
input: [
{
tensor: 'origin',
variable: 'texture',
setter: 'initTexture',
type: 'texture'
}
]
};
src/shader/bilinear_interp/main.es6 0 → 100644
浏览文件 @ 3687a96f
/* eslint-disable */
/**
* @file bilinear_interp主函数
* @author chenhaoze
*/
export default `
// start函数
void main(void) {
// 输出数据
ivec4 oPos = getOutputTensorPos();
// 输出坐标转换为输入坐标
//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;
//oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);
float o = getValueFromTensorPos_origin(oPos.r, oPos.g, oPos.b, oPos.a);
float scale_x = float(width_shape_out - 1) / float(width_shape_origin - 1);
float scale_y = float(height_shape_out - 1) / float(height_shape_origin - 1);
float x = float(oPos.a) / scale_x;
float y = float(oPos.b) / scale_y;
int x1 = int(floor(x));
int y1 = int(floor(y));
int x2 = int(ceil(x));
int y2 = int(ceil(y));
float dist_x = x - float(x1);
float dist_y = y - float(y1);
float value11 = getValueFromTensorPos_origin(oPos.r, oPos.g, y1, x1);
float value12 = getValueFromTensorPos_origin(oPos.r, oPos.g, y2, x1);
float value21 = getValueFromTensorPos_origin(oPos.r, oPos.g, y1, x2);
float value22 = getValueFromTensorPos_origin(oPos.r, oPos.g, y2, x2);
float value = (1.0 - dist_x) * (1.0 - dist_y) * value11 +
(1.0 - dist_x) * dist_y * value12 + dist_x * (1.0 - dist_y) * value21 +
dist_x * dist_y * value22;
setOutput(float(value));
}
`;
src/shader/bilinear_interp/params.es6 0 → 100644
浏览文件 @ 3687a96f
/* eslint-disable */
/**
* @file bilinear_interp参数文件
* @author chenhaoze
*/
export default `
// 输入数据
const int width_shape_origin = WIDTH_SHAPE_ORIGIN;
const int height_shape_origin = HEIGHT_SHAPE_ORIGIN;
const int length_shape_origin = LENGTH_SHAPE_ORIGIN;
const int width_texture_origin = WIDTH_TEXTURE_ORIGIN;
const int height_texture_origin = HEIGHT_TEXTURE_ORIGIN;
const int channel_origin = CHANNEL_ORIGIN;
const int total_shape_origin = TOTAL_SHAPE_ORIGIN;
const int total_shape_out = TOTAL_SHAPE_OUT;
// 输入数据
uniform sampler2D texture_origin;
`;
src/shader/concat/main.es6
浏览文件 @ 3687a96f
......@@ -11,8 +11,8 @@ void main(void) {
// int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;
// ivec4 new_oPos = transferFromNHWCtoNCHW(sumVal, channel_out, width_shape_out, height_shape_out, total_shape_out);
float o = 0.0;
if (oPos[dim] > inputs_dim[0] - 1) {
oPos[dim] = oPos[dim] - inputs_dim[0];
if (oPos[dim] > inputs_dim - 1) {
oPos[dim] = oPos[dim] - inputs_dim;
o = getValueFromTensorPos_counter(oPos.r, oPos.g, oPos.b, oPos.a);
}
else {
......
src/shader/concat/params.es6
浏览文件 @ 3687a96f
......@@ -28,7 +28,7 @@ const int total_shape_origin = TOTAL_SHAPE_ORIGIN;
const int total_shape_out = TOTAL_SHAPE_OUT;
const int dim = DIM;
const int inputs_dim[1] = int[](INPUTS_DIM);
const int inputs_dim = INPUTS_DIM;
// uniform变量
......
src/shader/conv2d_transpose/main.es6
浏览文件 @ 3687a96f
......@@ -16,16 +16,8 @@ export default `
int temp_y = 0;
float o = 0.0;
float f = 0.0;
if (x % 2 == 1) x = x - 2;
if (y % 2 == 1) y = y - 2;
// 重排遍历顺序
//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out;
//int new_a = sumVal % width_shape_out;
//int new_b = int((sumVal - new_a) / width_shape_out) % height_shape_out;
//int new_g = int((((sumVal - new_a) / width_shape_out) - new_b) / height_shape_out);
//int x = new_a;
//int c = new_g;
//int y = new_b;
if (int(mod(float(x), 2.0)) == 1) x = x - 2;
if (int(mod(float(y), 2.0)) == 1) y = y - 2;
// 获取output的坐标
int oTensorChannel = int(c * groups / channel_out) * channel_origin;
int oy = y;
......@@ -43,8 +35,7 @@ export default `
}
// channel计算
for (int j = 0; j < channel_origin; j++) {
if (ox % stride_h == 0 && oy % stride_v == 0) {
if (int(mod(float(ox), float(stride_h))) == 0 && int(mod(float(oy), float(stride_v))) == 0) {
temp_x = int(floor(float(ox) / float(stride_h)));
temp_y = int(floor(float(oy) / float(stride_v)));
if (temp_x < width_shape_origin && temp_y < height_shape_origin){
......
src/shader/elementwise_add/main.es6
浏览文件 @ 3687a96f
......@@ -7,22 +7,22 @@ export default `
// start函数
void main(void) {
// 输出数据
ivec4 oPos = getOutputTensorPos();
float o = getValueFromTensorPos_origin(oPos.r, oPos.g, oPos.b, oPos.a);
ivec4 oPos = getOutputTensorPosLIMIT_OUT();
float o = getValueFromTensorPosLIMIT_ORIGIN_origin(oPos.r, oPos.g, oPos.b, oPos.a);
ivec4 pos_counter;
float c = 0.0;
if (axis == 1){
c = getValueFromTensorPos_counter(0, oPos.r, oPos.g, oPos.b);
c = getValueFromTensorPosLIMIT_COUNTER_counter(0, oPos.r, oPos.g, oPos.b);
}
else if (axis == 2){
c = getValueFromTensorPos_counter(0, 0, oPos.r, oPos.g);
c = getValueFromTensorPosLIMIT_COUNTER_counter(0, 0, oPos.r, oPos.g);
}
else if (axis == 3){
c = getValueFromTensorPos_counter(0, 0, 0, oPos.r);
c = getValueFromTensorPosLIMIT_COUNTER_counter(0, 0, 0, oPos.r);
}
else {
c = getValueFromTensorPos_counter(oPos.r, oPos.g, oPos.b, oPos.a);
c = getValueFromTensorPosLIMIT_COUNTER_counter(oPos.r, oPos.g, oPos.b, oPos.a);
}
float res = c + o;
setOutput(float(res));
......
src/shader/mul/main.es6
浏览文件 @ 3687a96f
......@@ -7,10 +7,10 @@ export default `
void main(void) {
float res = 0.0;
// 获取output的坐标
ivec4 out_pos = getOutputTensorPos();
ivec4 out_pos = getOutputTensorPosLIMIT_OUT();
for (int j = 0; j < width_shape_origin; j++) {
float c = getValueFromTensorPos_counter(out_pos[0], out_pos[1], j, out_pos[3]);
float o = getValueFromTensorPos_origin(out_pos[0], out_pos[1], out_pos[2], j);
float c = getValueFromTensorPosLIMIT_COUNTER_counter(out_pos[0], out_pos[1], j, out_pos[3]);
float o = getValueFromTensorPosLIMIT_COUNTER_origin(out_pos[0], out_pos[1], out_pos[2], j);
res += c * o;
}
setOutput(res);
......
src/shader/split/main.es6
浏览文件 @ 3687a96f
......@@ -6,7 +6,7 @@
export default `
// start函数
void main(void) {
int length = int(target_value.length() / num);
int length = int(target_length / num);
ivec4 oPos = getOutputTensorPos();
// 输出坐标转换为输入坐标
//int sumVal = oPos.g + oPos.a * channel_out + oPos.b * channel_out * width_shape_out + oPos.r * channel_out * width_shape_out * height_shape_out;
......
src/shader/split/params.es6
浏览文件 @ 3687a96f
......@@ -18,7 +18,7 @@ const int total_shape_out = TOTAL_SHAPE_OUT;
const int dim = DIM;
const int num = NUM;
const int target_value[TARGET_LENGTH] = int[](TARGET_VALUE);
const int target_length = TARGET_LENGTH;
// 输入数据
......
src/shader/transpose2/main.es6
浏览文件 @ 3687a96f
......@@ -19,10 +19,10 @@ void main(void) {
o = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[2], oPos[3]);
}
else if (perm_size == 2) {
o = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[min(2 + perm_0, 3)], oPos[min(2 + perm_1, 3)]);
o = getValueFromTensorPos_origin(oPos[0], oPos[1], oPos[(2 + perm_0)>3?3:(2 + perm_0)], oPos[(2 + perm_1)>3?3:(2 + perm_1)]);
}
else if (perm_size == 3) {
o = getValueFromTensorPos_origin(oPos[0], oPos[min(1 + perm_0, 3)], oPos[min(1 + perm_1, 3)], oPos[min(1 + perm_2, 3)]);
o = getValueFromTensorPos_origin(oPos[0], oPos[(1 + perm_0)>3?3:(1 + perm_0)], oPos[(1 + perm_1)>3?3:(1 + perm_1)], oPos[(1 + perm_2)>3?3:(1 + perm_2)]);
}
else if (perm_size == 4) {
o = getValueFromTensorPos_origin(oPos[perm_0], oPos[perm_1], oPos[perm_2], oPos[perm_3]);
......
src/utils/opData.es6
浏览文件 @ 3687a96f
......@@ -125,7 +125,6 @@ const mergeType = 'conv2d-elementwise_add';
export default class OpData {
constructor(name, input = {}, output = {}, attrs = {}) {
// console.dir(this);
this.realName = name;
this.name = name;
this.attrs = attrs;
......@@ -205,7 +204,6 @@ export default class OpData {
// 默认取第一个数据
const data = this.output[key] || [{}];
if (tensorName[key.toLowerCase()]) {
// console.dir(this);
data.forEach(item => {
item.tensorName = tensorName[key.toLowerCase()];
tensorData.push(item);
......@@ -453,7 +451,7 @@ export default class OpData {
this.attrs.target_length = dim_value.length;
this.attrs.target_value = dim_value;
// 保存 输入 tensor 对应dim 的长度
this.attrs.inputs_dim = [origin_shape[axis]];
this.attrs.inputs_dim = origin_shape[axis];
this.attrs.dim = 4 - origin_shape.length + axis;
}
......
src/utils/utils.es6
浏览文件 @ 3687a96f
......@@ -119,12 +119,13 @@ export default {
let offsetY = 0;
// 安卓和ios的max texture size是4096, 改造存储空间(2bh, cw / 2)
let exceedMax = false;
// FIXME:为了让mobilenet能正常执行，这里先注释掉，待群哥修复
// if (height > MAX_TEXTURE_SIZE || width > MAX_TEXTURE_SIZE) {
// height *= 2;
// width = c * (Math.ceil(w / 2));
// exceedMax = true;
// }
// trick TEXTURE_SIZE 超限问题，后续升级更优解
if (height > 4096 || width > 4096) {
//console.error('大小超限', shape);
//height *= 4;
//width = c * (Math.ceil(w / 4));
//exceedMax = true;
}
if (isPacked) {
// 紧凑布局
height = b * c * Math.ceil(h / 2);
......@@ -203,7 +204,7 @@ export default {
return fourDimShape;
},
/*
/*
* 将nhwc排布数据转为nchw排布数据
*/
nhwc2nchw(data, shape) {
......@@ -226,7 +227,7 @@ export default {
return nchwData;
},
/*
/*
* 将nchw排布数据转为nhwc排布数据
*/
nchw2nhwc(data, shape) {
......@@ -249,9 +250,9 @@ export default {
return nhwcData;
},
/*
/*
* 等距间隔打印数据
*/
*/
stridePrint(data, count = 20) {
let realPrintCount = count;
if (data.length <= realPrintCount) {
......@@ -267,10 +268,10 @@ export default {
for (let i = 0; i < realPrintCount; i++) {
numbers.push(i * stride + ": " + data[i * stride]);
}
console.log(numbers)
console.log(numbers);
},
/*
/*
* 连续打印数据
*/
continuousPrint(data, count = 100) {
......@@ -282,7 +283,7 @@ export default {
for (let i = 0; i < realPrintCount; i++) {
numbers.push(i + ": " + data[i]);
}
console.log(numbers)
console.log(numbers);
},
softmax(nchwData) {
......@@ -306,6 +307,44 @@ export default {
}
return result;
},
// 针对model final texture输出超限后，inst.read读取数据不对的case
formatReadData(nchwData, nchwShape) {
if (nchwShape.length < 4) {
let batch = [];
for (let i = 0; i < (4 - nchwShape.length); i++) {
batch.push(1);
}
nchwShape = batch.concat(nchwShape);
}
const shape_b = nchwShape[0];
const shape_c = nchwShape[1];
const shape_h = nchwShape[2];
const shape_w = nchwShape[3];
const texture_height = shape_b * shape_h;
const texture_width = shape_c * shape_w;
if (texture_height <= 4096 && texture_width <= 4096) {
return nchwData;
}
let pos = 0;
const formatData = [];
const pieceW = Math.ceil(shape_w / 4); // reshape后的 shape_width
for (let bIndex = 0; bIndex < shape_b; bIndex++) {
for (let cIndex = 0; cIndex < shape_c; cIndex++) {
for (let hIndex = 0; hIndex < shape_h; hIndex++) {
for (let wIndex = 0; wIndex < shape_w; wIndex++) {
pos = Math.floor(wIndex / pieceW) * pieceW * (shape_h - 1) + wIndex + hIndex * pieceW;
pos += bIndex * shape_c * shape_h * shape_w+ cIndex * shape_h * shape_w;
formatData.push(nchwData[pos]);
}
}
}
}
return formatData;
}
};
/* eslint-enable */
test/data/map.json
浏览文件 @ 3687a96f
{0: 'tench, Tinca tinca',
1: 'goldfish, Carassius auratus',
2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
3: 'tiger shark, Galeocerdo cuvieri',
4: 'hammerhead, hammerhead shark',
5: 'electric ray, crampfish, numbfish, torpedo',
6: 'stingray',
7: 'cock',
8: 'hen',
9: 'ostrich, Struthio camelus',
10: 'brambling, Fringilla montifringilla',
11: 'goldfinch, Carduelis carduelis',
12: 'house finch, linnet, Carpodacus mexicanus',
13: 'junco, snowbird',
14: 'indigo bunting, indigo finch, indigo bird, Passerina cyanea',
15: 'robin, American robin, Turdus migratorius',
16: 'bulbul',
17: 'jay',
18: 'magpie',
19: 'chickadee',
20: 'water ouzel, dipper',
21: 'kite',
22: 'bald eagle, American eagle, Haliaeetus leucocephalus',
23: 'vulture',
24: 'great grey owl, great gray owl, Strix nebulosa',
25: 'European fire salamander, Salamandra salamandra',
26: 'common newt, Triturus vulgaris',
27: 'eft',
28: 'spotted salamander, Ambystoma maculatum',
29: 'axolotl, mud puppy, Ambystoma mexicanum',
30: 'bullfrog, Rana catesbeiana',
31: 'tree frog, tree-frog',
32: 'tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui',
33: 'loggerhead, loggerhead turtle, Caretta caretta',
34: 'leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea',
35: 'mud turtle',
36: 'terrapin',
37: 'box turtle, box tortoise',
38: 'banded gecko',
39: 'common iguana, iguana, Iguana iguana',
40: 'American chameleon, anole, Anolis carolinensis',
41: 'whiptail, whiptail lizard',
42: 'agama',
43: 'frilled lizard, Chlamydosaurus kingi',
44: 'alligator lizard',
45: 'Gila monster, Heloderma suspectum',
46: 'green lizard, Lacerta viridis',
47: 'African chameleon, Chamaeleo chamaeleon',
48: 'Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis',
49: 'African crocodile, Nile crocodile, Crocodylus niloticus',
50: 'American alligator, Alligator mississipiensis',
51: 'triceratops',
52: 'thunder snake, worm snake, Carphophis amoenus',
53: 'ringneck snake, ring-necked snake, ring snake',
54: 'hognose snake, puff adder, sand viper',
55: 'green snake, grass snake',
56: 'king snake, kingsnake',
57: 'garter snake, grass snake',
58: 'water snake',
59: 'vine snake',
60: 'night snake, Hypsiglena torquata',
61: 'boa constrictor, Constrictor constrictor',
62: 'rock python, rock snake, Python sebae',
63: 'Indian cobra, Naja naja',
64: 'green mamba',
65: 'sea snake',
66: 'horned viper, cerastes, sand viper, horned asp, Cerastes cornutus',
67: 'diamondback, diamondback rattlesnake, Crotalus adamanteus',
68: 'sidewinder, horned rattlesnake, Crotalus cerastes',
69: 'trilobite',
70: 'harvestman, daddy longlegs, Phalangium opilio',
71: 'scorpion',
72: 'black and gold garden spider, Argiope aurantia',
73: 'barn spider, Araneus cavaticus',
74: 'garden spider, Aranea diademata',
75: 'black widow, Latrodectus mactans',
76: 'tarantula',
77: 'wolf spider, hunting spider',
78: 'tick',
79: 'centipede',
80: 'black grouse',
81: 'ptarmigan',
82: 'ruffed grouse, partridge, Bonasa umbellus',
83: 'prairie chicken, prairie grouse, prairie fowl',
84: 'peacock',
85: 'quail',
86: 'partridge',
87: 'African grey, African gray, Psittacus erithacus',
88: 'macaw',
89: 'sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita',
90: 'lorikeet',
91: 'coucal',
92: 'bee eater',
93: 'hornbill',
94: 'hummingbird',
95: 'jacamar',
96: 'toucan',
97: 'drake',
98: 'red-breasted merganser, Mergus serrator',
99: 'goose',
100: 'black swan, Cygnus atratus',
101: 'tusker',
102: 'echidna, spiny anteater, anteater',
103: 'platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus',
104: 'wallaby, brush kangaroo',
105: 'koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus',
106: 'wombat',
107: 'jellyfish',
108: 'sea anemone, anemone',
109: 'brain coral',
110: 'flatworm, platyhelminth',
111: 'nematode, nematode worm, roundworm',
112: 'conch',
113: 'snail',
114: 'slug',
115: 'sea slug, nudibranch',
116: 'chiton, coat-of-mail shell, sea cradle, polyplacophore',
117: 'chambered nautilus, pearly nautilus, nautilus',
118: 'Dungeness crab, Cancer magister',
119: 'rock crab, Cancer irroratus',
120: 'fiddler crab',
121: 'king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica',
122: 'American lobster, Northern lobster, Maine lobster, Homarus americanus',
123: 'spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish',
124: 'crayfish, crawfish, crawdad, crawdaddy',
125: 'hermit crab',
126: 'isopod',
127: 'white stork, Ciconia ciconia',
128: 'black stork, Ciconia nigra',
129: 'spoonbill',
130: 'flamingo',
131: 'little blue heron, Egretta caerulea',
132: 'American egret, great white heron, Egretta albus',
133: 'bittern',
134: 'crane',
135: 'limpkin, Aramus pictus',
136: 'European gallinule, Porphyrio porphyrio',
137: 'American coot, marsh hen, mud hen, water hen, Fulica americana',
138: 'bustard',
139: 'ruddy turnstone, Arenaria interpres',
140: 'red-backed sandpiper, dunlin, Erolia alpina',
141: 'redshank, Tringa totanus',
142: 'dowitcher',
143: 'oystercatcher, oyster catcher',
144: 'pelican',
145: 'king penguin, Aptenodytes patagonica',
146: 'albatross, mollymawk',
147: 'grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus',
148: 'killer whale, killer, orca, grampus, sea wolf, Orcinus orca',
149: 'dugong, Dugong dugon',
150: 'sea lion',
151: 'Chihuahua',
152: 'Japanese spaniel',
153: 'Maltese dog, Maltese terrier, Maltese',
154: 'Pekinese, Pekingese, Peke',
155: 'Shih-Tzu',
156: 'Blenheim spaniel',
157: 'papillon',
158: 'toy terrier',
159: 'Rhodesian ridgeback',
160: 'Afghan hound, Afghan',
161: 'basset, basset hound',
162: 'beagle',
163: 'bloodhound, sleuthhound',
164: 'bluetick',
165: 'black-and-tan coonhound',
166: 'Walker hound, Walker foxhound',
167: 'English foxhound',
168: 'redbone',
169: 'borzoi, Russian wolfhound',
170: 'Irish wolfhound',
171: 'Italian greyhound',
172: 'whippet',
173: 'Ibizan hound, Ibizan Podenco',
174: 'Norwegian elkhound, elkhound',
175: 'otterhound, otter hound',
176: 'Saluki, gazelle hound',
177: 'Scottish deerhound, deerhound',
178: 'Weimaraner',
179: 'Staffordshire bullterrier, Staffordshire bull terrier',
180: 'American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier',
181: 'Bedlington terrier',
182: 'Border terrier',
183: 'Kerry blue terrier',
184: 'Irish terrier',
185: 'Norfolk terrier',
186: 'Norwich terrier',
187: 'Yorkshire terrier',
188: 'wire-haired fox terrier',
189: 'Lakeland terrier',
190: 'Sealyham terrier, Sealyham',
191: 'Airedale, Airedale terrier',
192: 'cairn, cairn terrier',
193: 'Australian terrier',
194: 'Dandie Dinmont, Dandie Dinmont terrier',
195: 'Boston bull, Boston terrier',
196: 'miniature schnauzer',
197: 'giant schnauzer',
198: 'standard schnauzer',
199: 'Scotch terrier, Scottish terrier, Scottie',
200: 'Tibetan terrier, chrysanthemum dog',
201: 'silky terrier, Sydney silky',
202: 'soft-coated wheaten terrier',
203: 'West Highland white terrier',
204: 'Lhasa, Lhasa apso',
205: 'flat-coated retriever',
206: 'curly-coated retriever',
207: 'golden retriever',
208: 'Labrador retriever',
209: 'Chesapeake Bay retriever',
210: 'German short-haired pointer',
211: 'vizsla, Hungarian pointer',
212: 'English setter',
213: 'Irish setter, red setter',
214: 'Gordon setter',
215: 'Brittany spaniel',
216: 'clumber, clumber spaniel',
217: 'English springer, English springer spaniel',
218: 'Welsh springer spaniel',
219: 'cocker spaniel, English cocker spaniel, cocker',
220: 'Sussex spaniel',
221: 'Irish water spaniel',
222: 'kuvasz',
223: 'schipperke',
224: 'groenendael',
225: 'malinois',
226: 'briard',
227: 'kelpie',
228: 'komondor',
229: 'Old English sheepdog, bobtail',
230: 'Shetland sheepdog, Shetland sheep dog, Shetland',
231: 'collie',
232: 'Border collie',
233: 'Bouvier des Flandres, Bouviers des Flandres',
234: 'Rottweiler',
235: 'German shepherd, German shepherd dog, German police dog, alsatian',
236: 'Doberman, Doberman pinscher',
237: 'miniature pinscher',
238: 'Greater Swiss Mountain dog',
239: 'Bernese mountain dog',
240: 'Appenzeller',
241: 'EntleBucher',
242: 'boxer',
243: 'bull mastiff',
244: 'Tibetan mastiff',
245: 'French bulldog',
246: 'Great Dane',
247: 'Saint Bernard, St Bernard',
248: 'Eskimo dog, husky',
249: 'malamute, malemute, Alaskan malamute',
250: 'Siberian husky',
251: 'dalmatian, coach dog, carriage dog',
252: 'affenpinscher, monkey pinscher, monkey dog',
253: 'basenji',
254: 'pug, pug-dog',
255: 'Leonberg',
256: 'Newfoundland, Newfoundland dog',
257: 'Great Pyrenees',
258: 'Samoyed, Samoyede',
259: 'Pomeranian',
260: 'chow, chow chow',
261: 'keeshond',
262: 'Brabancon griffon',
263: 'Pembroke, Pembroke Welsh corgi',
264: 'Cardigan, Cardigan Welsh corgi',
265: 'toy poodle',
266: 'miniature poodle',
267: 'standard poodle',
268: 'Mexican hairless',
269: 'timber wolf, grey wolf, gray wolf, Canis lupus',
270: 'white wolf, Arctic wolf, Canis lupus tundrarum',
271: 'red wolf, maned wolf, Canis rufus, Canis niger',
272: 'coyote, prairie wolf, brush wolf, Canis latrans',
273: 'dingo, warrigal, warragal, Canis dingo',
274: 'dhole, Cuon alpinus',
275: 'African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus',
276: 'hyena, hyaena',
277: 'red fox, Vulpes vulpes',
278: 'kit fox, Vulpes macrotis',
279: 'Arctic fox, white fox, Alopex lagopus',
280: 'grey fox, gray fox, Urocyon cinereoargenteus',
281: 'tabby, tabby cat',
282: 'tiger cat',
283: 'Persian cat',
284: 'Siamese cat, Siamese',
285: 'Egyptian cat',
286: 'cougar, puma, catamount, mountain lion, painter, panther, Felis concolor',
287: 'lynx, catamount',
288: 'leopard, Panthera pardus',
289: 'snow leopard, ounce, Panthera uncia',
290: 'jaguar, panther, Panthera onca, Felis onca',
291: 'lion, king of beasts, Panthera leo',
292: 'tiger, Panthera tigris',
293: 'cheetah, chetah, Acinonyx jubatus',
294: 'brown bear, bruin, Ursus arctos',
295: 'American black bear, black bear, Ursus americanus, Euarctos americanus',
296: 'ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus',
297: 'sloth bear, Melursus ursinus, Ursus ursinus',
298: 'mongoose',
299: 'meerkat, mierkat',
300: 'tiger beetle',
301: 'ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle',
302: 'ground beetle, carabid beetle',
303: 'long-horned beetle, longicorn, longicorn beetle',
304: 'leaf beetle, chrysomelid',
305: 'dung beetle',
306: 'rhinoceros beetle',
307: 'weevil',
308: 'fly',
309: 'bee',
310: 'ant, emmet, pismire',
311: 'grasshopper, hopper',
312: 'cricket',
313: 'walking stick, walkingstick, stick insect',
314: 'cockroach, roach',
315: 'mantis, mantid',
316: 'cicada, cicala',
317: 'leafhopper',
318: 'lacewing, lacewing fly',
319: "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
320: 'damselfly',
321: 'admiral',
322: 'ringlet, ringlet butterfly',
323: 'monarch, monarch butterfly, milkweed butterfly, Danaus plexippus',
324: 'cabbage butterfly',
325: 'sulphur butterfly, sulfur butterfly',
326: 'lycaenid, lycaenid butterfly',
327: 'starfish, sea star',
328: 'sea urchin',
329: 'sea cucumber, holothurian',
330: 'wood rabbit, cottontail, cottontail rabbit',
331: 'hare',
332: 'Angora, Angora rabbit',
333: 'hamster',
334: 'porcupine, hedgehog',
335: 'fox squirrel, eastern fox squirrel, Sciurus niger',
336: 'marmot',
337: 'beaver',
338: 'guinea pig, Cavia cobaya',
339: 'sorrel',
340: 'zebra',
341: 'hog, pig, grunter, squealer, Sus scrofa',
342: 'wild boar, boar, Sus scrofa',
343: 'warthog',
344: 'hippopotamus, hippo, river horse, Hippopotamus amphibius',
345: 'ox',
346: 'water buffalo, water ox, Asiatic buffalo, Bubalus bubalis',
347: 'bison',
348: 'ram, tup',
349: 'bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis',
350: 'ibex, Capra ibex',
351: 'hartebeest',
352: 'impala, Aepyceros melampus',
353: 'gazelle',
354: 'Arabian camel, dromedary, Camelus dromedarius',
355: 'llama',
356: 'weasel',
357: 'mink',
358: 'polecat, fitch, foulmart, foumart, Mustela putorius',
359: 'black-footed ferret, ferret, Mustela nigripes',
360: 'otter',
361: 'skunk, polecat, wood pussy',
362: 'badger',
363: 'armadillo',
364: 'three-toed sloth, ai, Bradypus tridactylus',
365: 'orangutan, orang, orangutang, Pongo pygmaeus',
366: 'gorilla, Gorilla gorilla',
367: 'chimpanzee, chimp, Pan troglodytes',
368: 'gibbon, Hylobates lar',
369: 'siamang, Hylobates syndactylus, Symphalangus syndactylus',
370: 'guenon, guenon monkey',
371: 'patas, hussar monkey, Erythrocebus patas',
372: 'baboon',
373: 'macaque',
374: 'langur',
375: 'colobus, colobus monkey',
376: 'proboscis monkey, Nasalis larvatus',
377: 'marmoset',
378: 'capuchin, ringtail, Cebus capucinus',
379: 'howler monkey, howler',
380: 'titi, titi monkey',
381: 'spider monkey, Ateles geoffroyi',
382: 'squirrel monkey, Saimiri sciureus',
383: 'Madagascar cat, ring-tailed lemur, Lemur catta',
384: 'indri, indris, Indri indri, Indri brevicaudatus',
385: 'Indian elephant, Elephas maximus',
386: 'African elephant, Loxodonta africana',
387: 'lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens',
388: 'giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca',
389: 'barracouta, snoek',
390: 'eel',
391: 'coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch',
392: 'rock beauty, Holocanthus tricolor',
393: 'anemone fish',
394: 'sturgeon',
395: 'gar, garfish, garpike, billfish, Lepisosteus osseus',
396: 'lionfish',
397: 'puffer, pufferfish, blowfish, globefish',
398: 'abacus',
399: 'abaya',
400: "academic gown, academic robe, judge's robe",
401: 'accordion, piano accordion, squeeze box',
402: 'acoustic guitar',
403: 'aircraft carrier, carrier, flattop, attack aircraft carrier',
404: 'airliner',
405: 'airship, dirigible',
406: 'altar',
407: 'ambulance',
408: 'amphibian, amphibious vehicle',
409: 'analog clock',
410: 'apiary, bee house',
411: 'apron',
412: 'ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin',
413: 'assault rifle, assault gun',
414: 'backpack, back pack, knapsack, packsack, rucksack, haversack',
415: 'bakery, bakeshop, bakehouse',
416: 'balance beam, beam',
417: 'balloon',
418: 'ballpoint, ballpoint pen, ballpen, Biro',
419: 'Band Aid',
420: 'banjo',
421: 'bannister, banister, balustrade, balusters, handrail',
422: 'barbell',
423: 'barber chair',
424: 'barbershop',
425: 'barn',
426: 'barometer',
427: 'barrel, cask',
428: 'barrow, garden cart, lawn cart, wheelbarrow',
429: 'baseball',
430: 'basketball',
431: 'bassinet',
432: 'bassoon',
433: 'bathing cap, swimming cap',
434: 'bath towel',
435: 'bathtub, bathing tub, bath, tub',
436: 'beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon',
437: 'beacon, lighthouse, beacon light, pharos',
438: 'beaker',
439: 'bearskin, busby, shako',
440: 'beer bottle',
441: 'beer glass',
442: 'bell cote, bell cot',
443: 'bib',
444: 'bicycle-built-for-two, tandem bicycle, tandem',
445: 'bikini, two-piece',
446: 'binder, ring-binder',
447: 'binoculars, field glasses, opera glasses',
448: 'birdhouse',
449: 'boathouse',
450: 'bobsled, bobsleigh, bob',
451: 'bolo tie, bolo, bola tie, bola',
452: 'bonnet, poke bonnet',
453: 'bookcase',
454: 'bookshop, bookstore, bookstall',
455: 'bottlecap',
456: 'bow',
457: 'bow tie, bow-tie, bowtie',
458: 'brass, memorial tablet, plaque',
459: 'brassiere, bra, bandeau',
460: 'breakwater, groin, groyne, mole, bulwark, seawall, jetty',
461: 'breastplate, aegis, egis',
462: 'broom',
463: 'bucket, pail',
464: 'buckle',
465: 'bulletproof vest',
466: 'bullet train, bullet',
467: 'butcher shop, meat market',
468: 'cab, hack, taxi, taxicab',
469: 'caldron, cauldron',
470: 'candle, taper, wax light',
471: 'cannon',
472: 'canoe',
473: 'can opener, tin opener',
474: 'cardigan',
475: 'car mirror',
476: 'carousel, carrousel, merry-go-round, roundabout, whirligig',
477: "carpenter's kit, tool kit",
478: 'carton',
479: 'car wheel',
480: 'cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM',
481: 'cassette',
482: 'cassette player',
483: 'castle',
484: 'catamaran',
485: 'CD player',
486: 'cello, violoncello',
487: 'cellular telephone, cellular phone, cellphone, cell, mobile phone',
488: 'chain',
489: 'chainlink fence',
490: 'chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour',
491: 'chain saw, chainsaw',
492: 'chest',
493: 'chiffonier, commode',
494: 'chime, bell, gong',
495: 'china cabinet, china closet',
496: 'Christmas stocking',
497: 'church, church building',
498: 'cinema, movie theater, movie theatre, movie house, picture palace',
499: 'cleaver, meat cleaver, chopper',
500: 'cliff dwelling',
501: 'cloak',
502: 'clog, geta, patten, sabot',
503: 'cocktail shaker',
504: 'coffee mug',
505: 'coffeepot',
506: 'coil, spiral, volute, whorl, helix',
507: 'combination lock',
508: 'computer keyboard, keypad',
509: 'confectionery, confectionary, candy store',
510: 'container ship, containership, container vessel',
511: 'convertible',
512: 'corkscrew, bottle screw',
513: 'cornet, horn, trumpet, trump',
514: 'cowboy boot',
515: 'cowboy hat, ten-gallon hat',
516: 'cradle',
517: 'crane',
518: 'crash helmet',
519: 'crate',
520: 'crib, cot',
521: 'Crock Pot',
522: 'croquet ball',
523: 'crutch',
524: 'cuirass',
525: 'dam, dike, dyke',
526: 'desk',
527: 'desktop computer',
528: 'dial telephone, dial phone',
529: 'diaper, nappy, napkin',
530: 'digital clock',
531: 'digital watch',
532: 'dining table, board',
533: 'dishrag, dishcloth',
534: 'dishwasher, dish washer, dishwashing machine',
535: 'disk brake, disc brake',
536: 'dock, dockage, docking facility',
537: 'dogsled, dog sled, dog sleigh',
538: 'dome',
539: 'doormat, welcome mat',
540: 'drilling platform, offshore rig',
541: 'drum, membranophone, tympan',
542: 'drumstick',
543: 'dumbbell',
544: 'Dutch oven',
545: 'electric fan, blower',
546: 'electric guitar',
547: 'electric locomotive',
548: 'entertainment center',
549: 'envelope',
550: 'espresso maker',
551: 'face powder',
552: 'feather boa, boa',
553: 'file, file cabinet, filing cabinet',
554: 'fireboat',
555: 'fire engine, fire truck',
556: 'fire screen, fireguard',
557: 'flagpole, flagstaff',
558: 'flute, transverse flute',
559: 'folding chair',
560: 'football helmet',
561: 'forklift',
562: 'fountain',
563: 'fountain pen',
564: 'four-poster',
565: 'freight car',
566: 'French horn, horn',
567: 'frying pan, frypan, skillet',
568: 'fur coat',
569: 'garbage truck, dustcart',
570: 'gasmask, respirator, gas helmet',
571: 'gas pump, gasoline pump, petrol pump, island dispenser',
572: 'goblet',
573: 'go-kart',
574: 'golf ball',
575: 'golfcart, golf cart',
576: 'gondola',
577: 'gong, tam-tam',
578: 'gown',
579: 'grand piano, grand',
580: 'greenhouse, nursery, glasshouse',
581: 'grille, radiator grille',
582: 'grocery store, grocery, food market, market',
583: 'guillotine',
584: 'hair slide',
585: 'hair spray',
586: 'half track',
587: 'hammer',
588: 'hamper',
589: 'hand blower, blow dryer, blow drier, hair dryer, hair drier',
590: 'hand-held computer, hand-held microcomputer',
591: 'handkerchief, hankie, hanky, hankey',
592: 'hard disc, hard disk, fixed disk',
593: 'harmonica, mouth organ, harp, mouth harp',
594: 'harp',
595: 'harvester, reaper',
596: 'hatchet',
597: 'holster',
598: 'home theater, home theatre',
599: 'honeycomb',
600: 'hook, claw',
601: 'hoopskirt, crinoline',
602: 'horizontal bar, high bar',
603: 'horse cart, horse-cart',
604: 'hourglass',
605: 'iPod',
606: 'iron, smoothing iron',
607: "jack-o'-lantern",
608: 'jean, blue jean, denim',
609: 'jeep, landrover',
610: 'jersey, T-shirt, tee shirt',
611: 'jigsaw puzzle',
612: 'jinrikisha, ricksha, rickshaw',
613: 'joystick',
614: 'kimono',
615: 'knee pad',
616: 'knot',
617: 'lab coat, laboratory coat',
618: 'ladle',
619: 'lampshade, lamp shade',
620: 'laptop, laptop computer',
621: 'lawn mower, mower',
622: 'lens cap, lens cover',
623: 'letter opener, paper knife, paperknife',
624: 'library',
625: 'lifeboat',
626: 'lighter, light, igniter, ignitor',
627: 'limousine, limo',
628: 'liner, ocean liner',
629: 'lipstick, lip rouge',
630: 'Loafer',
631: 'lotion',
632: 'loudspeaker, speaker, speaker unit, loudspeaker system, speaker system',
633: "loupe, jeweler's loupe",
634: 'lumbermill, sawmill',
635: 'magnetic compass',
636: 'mailbag, postbag',
637: 'mailbox, letter box',
638: 'maillot',
639: 'maillot, tank suit',
640: 'manhole cover',
641: 'maraca',
642: 'marimba, xylophone',
643: 'mask',
644: 'matchstick',
645: 'maypole',
646: 'maze, labyrinth',
647: 'measuring cup',
648: 'medicine chest, medicine cabinet',
649: 'megalith, megalithic structure',
650: 'microphone, mike',
651: 'microwave, microwave oven',
652: 'military uniform',
653: 'milk can',
654: 'minibus',
655: 'miniskirt, mini',
656: 'minivan',
657: 'missile',
658: 'mitten',
659: 'mixing bowl',
660: 'mobile home, manufactured home',
661: 'Model T',
662: 'modem',
663: 'monastery',
664: 'monitor',
665: 'moped',
666: 'mortar',
667: 'mortarboard',
668: 'mosque',
669: 'mosquito net',
670: 'motor scooter, scooter',
671: 'mountain bike, all-terrain bike, off-roader',
672: 'mountain tent',
673: 'mouse, computer mouse',
674: 'mousetrap',
675: 'moving van',
676: 'muzzle',
677: 'nail',
678: 'neck brace',
679: 'necklace',
680: 'nipple',
681: 'notebook, notebook computer',
682: 'obelisk',
683: 'oboe, hautboy, hautbois',
684: 'ocarina, sweet potato',
685: 'odometer, hodometer, mileometer, milometer',
686: 'oil filter',
687: 'organ, pipe organ',
688: 'oscilloscope, scope, cathode-ray oscilloscope, CRO',
689: 'overskirt',
690: 'oxcart',
691: 'oxygen mask',
692: 'packet',
693: 'paddle, boat paddle',
694: 'paddlewheel, paddle wheel',
695: 'padlock',
696: 'paintbrush',
697: "pajama, pyjama, pj's, jammies",
698: 'palace',
699: 'panpipe, pandean pipe, syrinx',
700: 'paper towel',
701: 'parachute, chute',
702: 'parallel bars, bars',
703: 'park bench',
704: 'parking meter',
705: 'passenger car, coach, carriage',
706: 'patio, terrace',
707: 'pay-phone, pay-station',
708: 'pedestal, plinth, footstall',
709: 'pencil box, pencil case',
710: 'pencil sharpener',
711: 'perfume, essence',
712: 'Petri dish',
713: 'photocopier',
714: 'pick, plectrum, plectron',
715: 'pickelhaube',
716: 'picket fence, paling',
717: 'pickup, pickup truck',
718: 'pier',
719: 'piggy bank, penny bank',
720: 'pill bottle',
721: 'pillow',
722: 'ping-pong ball',
723: 'pinwheel',
724: 'pirate, pirate ship',
725: 'pitcher, ewer',
726: "plane, carpenter's plane, woodworking plane",
727: 'planetarium',
728: 'plastic bag',
729: 'plate rack',
730: 'plow, plough',
731: "plunger, plumber's helper",
732: 'Polaroid camera, Polaroid Land camera',
733: 'pole',
734: 'police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria',
735: 'poncho',
736: 'pool table, billiard table, snooker table',
737: 'pop bottle, soda bottle',
738: 'pot, flowerpot',
739: "potter's wheel",
740: 'power drill',
741: 'prayer rug, prayer mat',
742: 'printer',
743: 'prison, prison house',
744: 'projectile, missile',
745: 'projector',
746: 'puck, hockey puck',
747: 'punching bag, punch bag, punching ball, punchball',
748: 'purse',
749: 'quill, quill pen',
750: 'quilt, comforter, comfort, puff',
751: 'racer, race car, racing car',
752: 'racket, racquet',
753: 'radiator',
754: 'radio, wireless',
755: 'radio telescope, radio reflector',
756: 'rain barrel',
757: 'recreational vehicle, RV, R.V.',
758: 'reel',
759: 'reflex camera',
760: 'refrigerator, icebox',
761: 'remote control, remote',
762: 'restaurant, eating house, eating place, eatery',
763: 'revolver, six-gun, six-shooter',
764: 'rifle',
765: 'rocking chair, rocker',
766: 'rotisserie',
767: 'rubber eraser, rubber, pencil eraser',
768: 'rugby ball',
769: 'rule, ruler',
770: 'running shoe',
771: 'safe',
772: 'safety pin',
773: 'saltshaker, salt shaker',
774: 'sandal',
775: 'sarong',
776: 'sax, saxophone',
777: 'scabbard',
778: 'scale, weighing machine',
779: 'school bus',
780: 'schooner',
781: 'scoreboard',
782: 'screen, CRT screen',
783: 'screw',
784: 'screwdriver',
785: 'seat belt, seatbelt',
786: 'sewing machine',
787: 'shield, buckler',
788: 'shoe shop, shoe-shop, shoe store',
789: 'shoji',
790: 'shopping basket',
791: 'shopping cart',
792: 'shovel',
793: 'shower cap',
794: 'shower curtain',
795: 'ski',
796: 'ski mask',
797: 'sleeping bag',
798: 'slide rule, slipstick',
799: 'sliding door',
800: 'slot, one-armed bandit',
801: 'snorkel',
802: 'snowmobile',
803: 'snowplow, snowplough',
804: 'soap dispenser',
805: 'soccer ball',
806: 'sock',
807: 'solar dish, solar collector, solar furnace',
808: 'sombrero',
809: 'soup bowl',
810: 'space bar',
811: 'space heater',
812: 'space shuttle',
813: 'spatula',
814: 'speedboat',
815: "spider web, spider's web",
816: 'spindle',
817: 'sports car, sport car',
818: 'spotlight, spot',
819: 'stage',
820: 'steam locomotive',
821: 'steel arch bridge',
822: 'steel drum',
823: 'stethoscope',
824: 'stole',
825: 'stone wall',
826: 'stopwatch, stop watch',
827: 'stove',
828: 'strainer',
829: 'streetcar, tram, tramcar, trolley, trolley car',
830: 'stretcher',
831: 'studio couch, day bed',
832: 'stupa, tope',
833: 'submarine, pigboat, sub, U-boat',
834: 'suit, suit of clothes',
835: 'sundial',
836: 'sunglass',
837: 'sunglasses, dark glasses, shades',
838: 'sunscreen, sunblock, sun blocker',
839: 'suspension bridge',
840: 'swab, swob, mop',
841: 'sweatshirt',
842: 'swimming trunks, bathing trunks',
843: 'swing',
844: 'switch, electric switch, electrical switch',
845: 'syringe',
846: 'table lamp',
847: 'tank, army tank, armored combat vehicle, armoured combat vehicle',
848: 'tape player',
849: 'teapot',
850: 'teddy, teddy bear',
851: 'television, television system',
852: 'tennis ball',
853: 'thatch, thatched roof',
854: 'theater curtain, theatre curtain',
855: 'thimble',
856: 'thresher, thrasher, threshing machine',
857: 'throne',
858: 'tile roof',
859: 'toaster',
860: 'tobacco shop, tobacconist shop, tobacconist',
861: 'toilet seat',
862: 'torch',
863: 'totem pole',
864: 'tow truck, tow car, wrecker',
865: 'toyshop',
866: 'tractor',
867: 'trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi',
868: 'tray',
869: 'trench coat',
870: 'tricycle, trike, velocipede',
871: 'trimaran',
872: 'tripod',
873: 'triumphal arch',
874: 'trolleybus, trolley coach, trackless trolley',
875: 'trombone',
876: 'tub, vat',
877: 'turnstile',
878: 'typewriter keyboard',
879: 'umbrella',
880: 'unicycle, monocycle',
881: 'upright, upright piano',
882: 'vacuum, vacuum cleaner',
883: 'vase',
884: 'vault',
885: 'velvet',
886: 'vending machine',
887: 'vestment',
888: 'viaduct',
889: 'violin, fiddle',
890: 'volleyball',
891: 'waffle iron',
892: 'wall clock',
893: 'wallet, billfold, notecase, pocketbook',
894: 'wardrobe, closet, press',
895: 'warplane, military plane',
896: 'washbasin, handbasin, washbowl, lavabo, wash-hand basin',
897: 'washer, automatic washer, washing machine',
898: 'water bottle',
899: 'water jug',
900: 'water tower',
901: 'whiskey jug',
902: 'whistle',
903: 'wig',
904: 'window screen',
905: 'window shade',
906: 'Windsor tie',
907: 'wine bottle',
908: 'wing',
909: 'wok',
910: 'wooden spoon',
911: 'wool, woolen, woollen',
912: 'worm fence, snake fence, snake-rail fence, Virginia fence',
913: 'wreck',
914: 'yawl',
915: 'yurt',
916: 'web site, website, internet site, site',
917: 'comic book',
918: 'crossword puzzle, crossword',
919: 'street sign',
920: 'traffic light, traffic signal, stoplight',
921: 'book jacket, dust cover, dust jacket, dust wrapper',
922: 'menu',
923: 'plate',
924: 'guacamole',
925: 'consomme',
926: 'hot pot, hotpot',
927: 'trifle',
928: 'ice cream, icecream',
929: 'ice lolly, lolly, lollipop, popsicle',
930: 'French loaf',
931: 'bagel, beigel',
932: 'pretzel',
933: 'cheeseburger',
934: 'hotdog, hot dog, red hot',
935: 'mashed potato',
936: 'head cabbage',
937: 'broccoli',
938: 'cauliflower',
939: 'zucchini, courgette',
940: 'spaghetti squash',
941: 'acorn squash',
942: 'butternut squash',
943: 'cucumber, cuke',
944: 'artichoke, globe artichoke',
945: 'bell pepper',
946: 'cardoon',
947: 'mushroom',
948: 'Granny Smith',
949: 'strawberry',
950: 'orange',
951: 'lemon',
952: 'fig',
953: 'pineapple, ananas',
954: 'banana',
955: 'jackfruit, jak, jack',
956: 'custard apple',
957: 'pomegranate',
958: 'hay',
959: 'carbonara',
960: 'chocolate sauce, chocolate syrup',
961: 'dough',
962: 'meat loaf, meatloaf',
963: 'pizza, pizza pie',
964: 'potpie',
965: 'burrito',
966: 'red wine',
967: 'espresso',
968: 'cup',
969: 'eggnog',
970: 'alp',
971: 'bubble',
972: 'cliff, drop, drop-off',
973: 'coral reef',
974: 'geyser',
975: 'lakeside, lakeshore',
976: 'promontory, headland, head, foreland',
977: 'sandbar, sand bar',
978: 'seashore, coast, seacoast, sea-coast',
979: 'valley, vale',
980: 'volcano',
981: 'ballplayer, baseball player',
982: 'groom, bridegroom',
983: 'scuba diver',
984: 'rapeseed',
985: 'daisy',
986: "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
987: 'corn',
988: 'acorn',
989: 'hip, rose hip, rosehip',
990: 'buckeye, horse chestnut, conker',
991: 'coral fungus',
992: 'agaric',
993: 'gyromitra',
994: 'stinkhorn, carrion fungus',
995: 'earthstar',
996: 'hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa',
997: 'bolete',
998: 'ear, spike, capitulum',
999: 'toilet tissue, toilet paper, bathroom tissue'}
{
"0": "tench, Tinca tinca",
"1": "goldfish, Carassius auratus",
"2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
"3": "tiger shark, Galeocerdo cuvieri",
"4": "hammerhead, hammerhead shark",
"5": "electric ray, crampfish, numbfish, torpedo",
"6": "stingray",
"7": "cock",
"8": "hen",
"9": "ostrich, Struthio camelus",
"10": "brambling, Fringilla montifringilla",
"11": "goldfinch, Carduelis carduelis",
"12": "house finch, linnet, Carpodacus mexicanus",
"13": "junco, snowbird",
"14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
"15": "robin, American robin, Turdus migratorius",
"16": "bulbul",
"17": "jay",
"18": "magpie",
"19": "chickadee",
"20": "water ouzel, dipper",
"21": "kite",
"22": "bald eagle, American eagle, Haliaeetus leucocephalus",
"23": "vulture",
"24": "great grey owl, great gray owl, Strix nebulosa",
"25": "European fire salamander, Salamandra salamandra",
"26": "common newt, Triturus vulgaris",
"27": "eft",
"28": "spotted salamander, Ambystoma maculatum",
"29": "axolotl, mud puppy, Ambystoma mexicanum",
"30": "bullfrog, Rana catesbeiana",
"31": "tree frog, tree-frog",
"32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
"33": "loggerhead, loggerhead turtle, Caretta caretta",
"34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
"35": "mud turtle",
"36": "terrapin",
"37": "box turtle, box tortoise",
"38": "banded gecko",
"39": "common iguana, iguana, Iguana iguana",
"40": "American chameleon, anole, Anolis carolinensis",
"41": "whiptail, whiptail lizard",
"42": "agama",
"43": "frilled lizard, Chlamydosaurus kingi",
"44": "alligator lizard",
"45": "Gila monster, Heloderma suspectum",
"46": "green lizard, Lacerta viridis",
"47": "African chameleon, Chamaeleo chamaeleon",
"48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
"49": "African crocodile, Nile crocodile, Crocodylus niloticus",
"50": "American alligator, Alligator mississipiensis",
"51": "triceratops",
"52": "thunder snake, worm snake, Carphophis amoenus",
"53": "ringneck snake, ring-necked snake, ring snake",
"54": "hognose snake, puff adder, sand viper",
"55": "green snake, grass snake",
"56": "king snake, kingsnake",
"57": "garter snake, grass snake",
"58": "water snake",
"59": "vine snake",
"60": "night snake, Hypsiglena torquata",
"61": "boa constrictor, Constrictor constrictor",
"62": "rock python, rock snake, Python sebae",
"63": "Indian cobra, Naja naja",
"64": "green mamba",
"65": "sea snake",
"66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
"67": "diamondback, diamondback rattlesnake, Crotalus adamanteus",
"68": "sidewinder, horned rattlesnake, Crotalus cerastes",
"69": "trilobite",
"70": "harvestman, daddy longlegs, Phalangium opilio",
"71": "scorpion",
"72": "black and gold garden spider, Argiope aurantia",
"73": "barn spider, Araneus cavaticus",
"74": "garden spider, Aranea diademata",
"75": "black widow, Latrodectus mactans",
"76": "tarantula",
"77": "wolf spider, hunting spider",
"78": "tick",
"79": "centipede",
"80": "black grouse",
"81": "ptarmigan",
"82": "ruffed grouse, partridge, Bonasa umbellus",
"83": "prairie chicken, prairie grouse, prairie fowl",
"84": "peacock",
"85": "quail",
"86": "partridge",
"87": "African grey, African gray, Psittacus erithacus",
"88": "macaw",
"89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
"90": "lorikeet",
"91": "coucal",
"92": "bee eater",
"93": "hornbill",
"94": "hummingbird",
"95": "jacamar",
"96": "toucan",
"97": "drake",
"98": "red-breasted merganser, Mergus serrator",
"99": "goose",
"100": "black swan, Cygnus atratus",
"101": "tusker",
"102": "echidna, spiny anteater, anteater",
"103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
"104": "wallaby, brush kangaroo",
"105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
"106": "wombat",
"107": "jellyfish",
"108": "sea anemone, anemone",
"109": "brain coral",
"110": "flatworm, platyhelminth",
"111": "nematode, nematode worm, roundworm",
"112": "conch",
"113": "snail",
"114": "slug",
"115": "sea slug, nudibranch",
"116": "chiton, coat-of-mail shell, sea cradle, polyplacophore",
"117": "chambered nautilus, pearly nautilus, nautilus",
"118": "Dungeness crab, Cancer magister",
"119": "rock crab, Cancer irroratus",
"120": "fiddler crab",
"121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
"122": "American lobster, Northern lobster, Maine lobster, Homarus americanus",
"123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
"124": "crayfish, crawfish, crawdad, crawdaddy",
"125": "hermit crab",
"126": "isopod",
"127": "white stork, Ciconia ciconia",
"128": "black stork, Ciconia nigra",
"129": "spoonbill",
"130": "flamingo",
"131": "little blue heron, Egretta caerulea",
"132": "American egret, great white heron, Egretta albus",
"133": "bittern",
"134": "crane",
"135": "limpkin, Aramus pictus",
"136": "European gallinule, Porphyrio porphyrio",
"137": "American coot, marsh hen, mud hen, water hen, Fulica americana",
"138": "bustard",
"139": "ruddy turnstone, Arenaria interpres",
"140": "red-backed sandpiper, dunlin, Erolia alpina",
"141": "redshank, Tringa totanus",
"142": "dowitcher",
"143": "oystercatcher, oyster catcher",
"144": "pelican",
"145": "king penguin, Aptenodytes patagonica",
"146": "albatross, mollymawk",
"147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
"148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
"149": "dugong, Dugong dugon",
"150": "sea lion",
"151": "Chihuahua",
"152": "Japanese spaniel",
"153": "Maltese dog, Maltese terrier, Maltese",
"154": "Pekinese, Pekingese, Peke",
"155": "Shih-Tzu",
"156": "Blenheim spaniel",
"157": "papillon",
"158": "toy terrier",
"159": "Rhodesian ridgeback",
"160": "Afghan hound, Afghan",
"161": "basset, basset hound",
"162": "beagle",
"163": "bloodhound, sleuthhound",
"164": "bluetick",
"165": "black-and-tan coonhound",
"166": "Walker hound, Walker foxhound",
"167": "English foxhound",
"168": "redbone",
"169": "borzoi, Russian wolfhound",
"170": "Irish wolfhound",
"171": "Italian greyhound",
"172": "whippet",
"173": "Ibizan hound, Ibizan Podenco",
"174": "Norwegian elkhound, elkhound",
"175": "otterhound, otter hound",
"176": "Saluki, gazelle hound",
"177": "Scottish deerhound, deerhound",
"178": "Weimaraner",
"179": "Staffordshire bullterrier, Staffordshire bull terrier",
"180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",
"181": "Bedlington terrier",
"182": "Border terrier",
"183": "Kerry blue terrier",
"184": "Irish terrier",
"185": "Norfolk terrier",
"186": "Norwich terrier",
"187": "Yorkshire terrier",
"188": "wire-haired fox terrier",
"189": "Lakeland terrier",
"190": "Sealyham terrier, Sealyham",
"191": "Airedale, Airedale terrier",
"192": "cairn, cairn terrier",
"193": "Australian terrier",
"194": "Dandie Dinmont, Dandie Dinmont terrier",
"195": "Boston bull, Boston terrier",
"196": "miniature schnauzer",
"197": "giant schnauzer",
"198": "standard schnauzer",
"199": "Scotch terrier, Scottish terrier, Scottie",
"200": "Tibetan terrier, chrysanthemum dog",
"201": "silky terrier, Sydney silky",
"202": "soft-coated wheaten terrier",
"203": "West Highland white terrier",
"204": "Lhasa, Lhasa apso",
"205": "flat-coated retriever",
"206": "curly-coated retriever",
"207": "golden retriever",
"208": "Labrador retriever",
"209": "Chesapeake Bay retriever",
"210": "German short-haired pointer",
"211": "vizsla, Hungarian pointer",
"212": "English setter",
"213": "Irish setter, red setter",
"214": "Gordon setter",
"215": "Brittany spaniel",
"216": "clumber, clumber spaniel",
"217": "English springer, English springer spaniel",
"218": "Welsh springer spaniel",
"219": "cocker spaniel, English cocker spaniel, cocker",
"220": "Sussex spaniel",
"221": "Irish water spaniel",
"222": "kuvasz",
"223": "schipperke",
"224": "groenendael",
"225": "malinois",
"226": "briard",
"227": "kelpie",
"228": "komondor",
"229": "Old English sheepdog, bobtail",
"230": "Shetland sheepdog, Shetland sheep dog, Shetland",
"231": "collie",
"232": "Border collie",
"233": "Bouvier des Flandres, Bouviers des Flandres",
"234": "Rottweiler",
"235": "German shepherd, German shepherd dog, German police dog, alsatian",
"236": "Doberman, Doberman pinscher",
"237": "miniature pinscher",
"238": "Greater Swiss Mountain dog",
"239": "Bernese mountain dog",
"240": "Appenzeller",
"241": "EntleBucher",
"242": "boxer",
"243": "bull mastiff",
"244": "Tibetan mastiff",
"245": "French bulldog",
"246": "Great Dane",
"247": "Saint Bernard, St Bernard",
"248": "Eskimo dog, husky",
"249": "malamute, malemute, Alaskan malamute",
"250": "Siberian husky",
"251": "dalmatian, coach dog, carriage dog",
"252": "affenpinscher, monkey pinscher, monkey dog",
"253": "basenji",
"254": "pug, pug-dog",
"255": "Leonberg",
"256": "Newfoundland, Newfoundland dog",
"257": "Great Pyrenees",
"258": "Samoyed, Samoyede",
"259": "Pomeranian",
"260": "chow, chow chow",
"261": "keeshond",
"262": "Brabancon griffon",
"263": "Pembroke, Pembroke Welsh corgi",
"264": "Cardigan, Cardigan Welsh corgi",
"265": "toy poodle",
"266": "miniature poodle",
"267": "standard poodle",
"268": "Mexican hairless",
"269": "timber wolf, grey wolf, gray wolf, Canis lupus",
"270": "white wolf, Arctic wolf, Canis lupus tundrarum",
"271": "red wolf, maned wolf, Canis rufus, Canis niger",
"272": "coyote, prairie wolf, brush wolf, Canis latrans",
"273": "dingo, warrigal, warragal, Canis dingo",
"274": "dhole, Cuon alpinus",
"275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
"276": "hyena, hyaena",
"277": "red fox, Vulpes vulpes",
"278": "kit fox, Vulpes macrotis",
"279": "Arctic fox, white fox, Alopex lagopus",
"280": "grey fox, gray fox, Urocyon cinereoargenteus",
"281": "tabby, tabby cat",
"282": "tiger cat",
"283": "Persian cat",
"284": "Siamese cat, Siamese",
"285": "Egyptian cat",
"286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
"287": "lynx, catamount",
"288": "leopard, Panthera pardus",
"289": "snow leopard, ounce, Panthera uncia",
"290": "jaguar, panther, Panthera onca, Felis onca",
"291": "lion, king of beasts, Panthera leo",
"292": "tiger, Panthera tigris",
"293": "cheetah, chetah, Acinonyx jubatus",
"294": "brown bear, bruin, Ursus arctos",
"295": "American black bear, black bear, Ursus americanus, Euarctos americanus",
"296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
"297": "sloth bear, Melursus ursinus, Ursus ursinus",
"298": "mongoose",
"299": "meerkat, mierkat",
"300": "tiger beetle",
"301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
"302": "ground beetle, carabid beetle",
"303": "long-horned beetle, longicorn, longicorn beetle",
"304": "leaf beetle, chrysomelid",
"305": "dung beetle",
"306": "rhinoceros beetle",
"307": "weevil",
"308": "fly",
"309": "bee",
"310": "ant, emmet, pismire",
"311": "grasshopper, hopper",
"312": "cricket",
"313": "walking stick, walkingstick, stick insect",
"314": "cockroach, roach",
"315": "mantis, mantid",
"316": "cicada, cicala",
"317": "leafhopper",
"318": "lacewing, lacewing fly",
"319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
"320": "damselfly",
"321": "admiral",
"322": "ringlet, ringlet butterfly",
"323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
"324": "cabbage butterfly",
"325": "sulphur butterfly, sulfur butterfly",
"326": "lycaenid, lycaenid butterfly",
"327": "starfish, sea star",
"328": "sea urchin",
"329": "sea cucumber, holothurian",
"330": "wood rabbit, cottontail, cottontail rabbit",
"331": "hare",
"332": "Angora, Angora rabbit",
"333": "hamster",
"334": "porcupine, hedgehog",
"335": "fox squirrel, eastern fox squirrel, Sciurus niger",
"336": "marmot",
"337": "beaver",
"338": "guinea pig, Cavia cobaya",
"339": "sorrel",
"340": "zebra",
"341": "hog, pig, grunter, squealer, Sus scrofa",
"342": "wild boar, boar, Sus scrofa",
"343": "warthog",
"344": "hippopotamus, hippo, river horse, Hippopotamus amphibius",
"345": "ox",
"346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
"347": "bison",
"348": "ram, tup",
"349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
"350": "ibex, Capra ibex",
"351": "hartebeest",
"352": "impala, Aepyceros melampus",
"353": "gazelle",
"354": "Arabian camel, dromedary, Camelus dromedarius",
"355": "llama",
"356": "weasel",
"357": "mink",
"358": "polecat, fitch, foulmart, foumart, Mustela putorius",
"359": "black-footed ferret, ferret, Mustela nigripes",
"360": "otter",
"361": "skunk, polecat, wood pussy",
"362": "badger",
"363": "armadillo",
"364": "three-toed sloth, ai, Bradypus tridactylus",
"365": "orangutan, orang, orangutang, Pongo pygmaeus",
"366": "gorilla, Gorilla gorilla",
"367": "chimpanzee, chimp, Pan troglodytes",
"368": "gibbon, Hylobates lar",
"369": "siamang, Hylobates syndactylus, Symphalangus syndactylus",
"370": "guenon, guenon monkey",
"371": "patas, hussar monkey, Erythrocebus patas",
"372": "baboon",
"373": "macaque",
"374": "langur",
"375": "colobus, colobus monkey",
"376": "proboscis monkey, Nasalis larvatus",
"377": "marmoset",
"378": "capuchin, ringtail, Cebus capucinus",
"379": "howler monkey, howler",
"380": "titi, titi monkey",
"381": "spider monkey, Ateles geoffroyi",
"382": "squirrel monkey, Saimiri sciureus",
"383": "Madagascar cat, ring-tailed lemur, Lemur catta",
"384": "indri, indris, Indri indri, Indri brevicaudatus",
"385": "Indian elephant, Elephas maximus",
"386": "African elephant, Loxodonta africana",
"387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
"388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
"389": "barracouta, snoek",
"390": "eel",
"391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
"392": "rock beauty, Holocanthus tricolor",
"393": "anemone fish",
"394": "sturgeon",
"395": "gar, garfish, garpike, billfish, Lepisosteus osseus",
"396": "lionfish",
"397": "puffer, pufferfish, blowfish, globefish",
"398": "abacus",
"399": "abaya",
"400": "academic gown, academic robe, judge's robe",
"401": "accordion, piano accordion, squeeze box",
"402": "acoustic guitar",
"403": "aircraft carrier, carrier, flattop, attack aircraft carrier",
"404": "airliner",
"405": "airship, dirigible",
"406": "altar",
"407": "ambulance",
"408": "amphibian, amphibious vehicle",
"409": "analog clock",
"410": "apiary, bee house",
"411": "apron",
"412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
"413": "assault rifle, assault gun",
"414": "backpack, back pack, knapsack, packsack, rucksack, haversack",
"415": "bakery, bakeshop, bakehouse",
"416": "balance beam, beam",
"417": "balloon",
"418": "ballpoint, ballpoint pen, ballpen, Biro",
"419": "Band Aid",
"420": "banjo",
"421": "bannister, banister, balustrade, balusters, handrail",
"422": "barbell",
"423": "barber chair",
"424": "barbershop",
"425": "barn",
"426": "barometer",
"427": "barrel, cask",
"428": "barrow, garden cart, lawn cart, wheelbarrow",
"429": "baseball",
"430": "basketball",
"431": "bassinet",
"432": "bassoon",
"433": "bathing cap, swimming cap",
"434": "bath towel",
"435": "bathtub, bathing tub, bath, tub",
"436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
"437": "beacon, lighthouse, beacon light, pharos",
"438": "beaker",
"439": "bearskin, busby, shako",
"440": "beer bottle",
"441": "beer glass",
"442": "bell cote, bell cot",
"443": "bib",
"444": "bicycle-built-for-two, tandem bicycle, tandem",
"445": "bikini, two-piece",
"446": "binder, ring-binder",
"447": "binoculars, field glasses, opera glasses",
"448": "birdhouse",
"449": "boathouse",
"450": "bobsled, bobsleigh, bob",
"451": "bolo tie, bolo, bola tie, bola",
"452": "bonnet, poke bonnet",
"453": "bookcase",
"454": "bookshop, bookstore, bookstall",
"455": "bottlecap",
"456": "bow",
"457": "bow tie, bow-tie, bowtie",
"458": "brass, memorial tablet, plaque",
"459": "brassiere, bra, bandeau",
"460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty",
"461": "breastplate, aegis, egis",
"462": "broom",
"463": "bucket, pail",
"464": "buckle",
"465": "bulletproof vest",
"466": "bullet train, bullet",
"467": "butcher shop, meat market",
"468": "cab, hack, taxi, taxicab",
"469": "caldron, cauldron",
"470": "candle, taper, wax light",
"471": "cannon",
"472": "canoe",
"473": "can opener, tin opener",
"474": "cardigan",
"475": "car mirror",
"476": "carousel, carrousel, merry-go-round, roundabout, whirligig",
"477": "carpenter's kit, tool kit",
"478": "carton",
"479": "car wheel",
"480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
"481": "cassette",
"482": "cassette player",
"483": "castle",
"484": "catamaran",
"485": "CD player",
"486": "cello, violoncello",
"487": "cellular telephone, cellular phone, cellphone, cell, mobile phone",
"488": "chain",
"489": "chainlink fence",
"490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
"491": "chain saw, chainsaw",
"492": "chest",
"493": "chiffonier, commode",
"494": "chime, bell, gong",
"495": "china cabinet, china closet",
"496": "Christmas stocking",
"497": "church, church building",
"498": "cinema, movie theater, movie theatre, movie house, picture palace",
"499": "cleaver, meat cleaver, chopper",
"500": "cliff dwelling",
"501": "cloak",
"502": "clog, geta, patten, sabot",
"503": "cocktail shaker",
"504": "coffee mug",
"505": "coffeepot",
"506": "coil, spiral, volute, whorl, helix",
"507": "combination lock",
"508": "computer keyboard, keypad",
"509": "confectionery, confectionary, candy store",
"510": "container ship, containership, container vessel",
"511": "convertible",
"512": "corkscrew, bottle screw",
"513": "cornet, horn, trumpet, trump",
"514": "cowboy boot",
"515": "cowboy hat, ten-gallon hat",
"516": "cradle",
"517": "crane",
"518": "crash helmet",
"519": "crate",
"520": "crib, cot",
"521": "Crock Pot",
"522": "croquet ball",
"523": "crutch",
"524": "cuirass",
"525": "dam, dike, dyke",
"526": "desk",
"527": "desktop computer",
"528": "dial telephone, dial phone",
"529": "diaper, nappy, napkin",
"530": "digital clock",
"531": "digital watch",
"532": "dining table, board",
"533": "dishrag, dishcloth",
"534": "dishwasher, dish washer, dishwashing machine",
"535": "disk brake, disc brake",
"536": "dock, dockage, docking facility",
"537": "dogsled, dog sled, dog sleigh",
"538": "dome",
"539": "doormat, welcome mat",
"540": "drilling platform, offshore rig",
"541": "drum, membranophone, tympan",
"542": "drumstick",
"543": "dumbbell",
"544": "Dutch oven",
"545": "electric fan, blower",
"546": "electric guitar",
"547": "electric locomotive",
"548": "entertainment center",
"549": "envelope",
"550": "espresso maker",
"551": "face powder",
"552": "feather boa, boa",
"553": "file, file cabinet, filing cabinet",
"554": "fireboat",
"555": "fire engine, fire truck",
"556": "fire screen, fireguard",
"557": "flagpole, flagstaff",
"558": "flute, transverse flute",
"559": "folding chair",
"560": "football helmet",
"561": "forklift",
"562": "fountain",
"563": "fountain pen",
"564": "four-poster",
"565": "freight car",
"566": "French horn, horn",
"567": "frying pan, frypan, skillet",
"568": "fur coat",
"569": "garbage truck, dustcart",
"570": "gasmask, respirator, gas helmet",
"571": "gas pump, gasoline pump, petrol pump, island dispenser",
"572": "goblet",
"573": "go-kart",
"574": "golf ball",
"575": "golfcart, golf cart",
"576": "gondola",
"577": "gong, tam-tam",
"578": "gown",
"579": "grand piano, grand",
"580": "greenhouse, nursery, glasshouse",
"581": "grille, radiator grille",
"582": "grocery store, grocery, food market, market",
"583": "guillotine",
"584": "hair slide",
"585": "hair spray",
"586": "half track",
"587": "hammer",
"588": "hamper",
"589": "hand blower, blow dryer, blow drier, hair dryer, hair drier",
"590": "hand-held computer, hand-held microcomputer",
"591": "handkerchief, hankie, hanky, hankey",
"592": "hard disc, hard disk, fixed disk",
"593": "harmonica, mouth organ, harp, mouth harp",
"594": "harp",
"595": "harvester, reaper",
"596": "hatchet",
"597": "holster",
"598": "home theater, home theatre",
"599": "honeycomb",
"600": "hook, claw",
"601": "hoopskirt, crinoline",
"602": "horizontal bar, high bar",
"603": "horse cart, horse-cart",
"604": "hourglass",
"605": "iPod",
"606": "iron, smoothing iron",
"607": "jack-o'-lantern",
"608": "jean, blue jean, denim",
"609": "jeep, landrover",
"610": "jersey, T-shirt, tee shirt",
"611": "jigsaw puzzle",
"612": "jinrikisha, ricksha, rickshaw",
"613": "joystick",
"614": "kimono",
"615": "knee pad",
"616": "knot",
"617": "lab coat, laboratory coat",
"618": "ladle",
"619": "lampshade, lamp shade",
"620": "laptop, laptop computer",
"621": "lawn mower, mower",
"622": "lens cap, lens cover",
"623": "letter opener, paper knife, paperknife",
"624": "library",
"625": "lifeboat",
"626": "lighter, light, igniter, ignitor",
"627": "limousine, limo",
"628": "liner, ocean liner",
"629": "lipstick, lip rouge",
"630": "Loafer",
"631": "lotion",
"632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
"633": "loupe, jeweler's loupe",
"634": "lumbermill, sawmill",
"635": "magnetic compass",
"636": "mailbag, postbag",
"637": "mailbox, letter box",
"638": "maillot",
"639": "maillot, tank suit",
"640": "manhole cover",
"641": "maraca",
"642": "marimba, xylophone",
"643": "mask",
"644": "matchstick",
"645": "maypole",
"646": "maze, labyrinth",
"647": "measuring cup",
"648": "medicine chest, medicine cabinet",
"649": "megalith, megalithic structure",
"650": "microphone, mike",
"651": "microwave, microwave oven",
"652": "military uniform",
"653": "milk can",
"654": "minibus",
"655": "miniskirt, mini",
"656": "minivan",
"657": "missile",
"658": "mitten",
"659": "mixing bowl",
"660": "mobile home, manufactured home",
"661": "Model T",
"662": "modem",
"663": "monastery",
"664": "monitor",
"665": "moped",
"666": "mortar",
"667": "mortarboard",
"668": "mosque",
"669": "mosquito net",
"670": "motor scooter, scooter",
"671": "mountain bike, all-terrain bike, off-roader",
"672": "mountain tent",
"673": "mouse, computer mouse",
"674": "mousetrap",
"675": "moving van",
"676": "muzzle",
"677": "nail",
"678": "neck brace",
"679": "necklace",
"680": "nipple",
"681": "notebook, notebook computer",
"682": "obelisk",
"683": "oboe, hautboy, hautbois",
"684": "ocarina, sweet potato",
"685": "odometer, hodometer, mileometer, milometer",
"686": "oil filter",
"687": "organ, pipe organ",
"688": "oscilloscope, scope, cathode-ray oscilloscope, CRO",
"689": "overskirt",
"690": "oxcart",
"691": "oxygen mask",
"692": "packet",
"693": "paddle, boat paddle",
"694": "paddlewheel, paddle wheel",
"695": "padlock",
"696": "paintbrush",
"697": "pajama, pyjama, pj's, jammies",
"698": "palace",
"699": "panpipe, pandean pipe, syrinx",
"700": "paper towel",
"701": "parachute, chute",
"702": "parallel bars, bars",
"703": "park bench",
"704": "parking meter",
"705": "passenger car, coach, carriage",
"706": "patio, terrace",
"707": "pay-phone, pay-station",
"708": "pedestal, plinth, footstall",
"709": "pencil box, pencil case",
"710": "pencil sharpener",
"711": "perfume, essence",
"712": "Petri dish",
"713": "photocopier",
"714": "pick, plectrum, plectron",
"715": "pickelhaube",
"716": "picket fence, paling",
"717": "pickup, pickup truck",
"718": "pier",
"719": "piggy bank, penny bank",
"720": "pill bottle",
"721": "pillow",
"722": "ping-pong ball",
"723": "pinwheel",
"724": "pirate, pirate ship",
"725": "pitcher, ewer",
"726": "plane, carpenter's plane, woodworking plane",
"727": "planetarium",
"728": "plastic bag",
"729": "plate rack",
"730": "plow, plough",
"731": "plunger, plumber's helper",
"732": "Polaroid camera, Polaroid Land camera",
"733": "pole",
"734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
"735": "poncho",
"736": "pool table, billiard table, snooker table",
"737": "pop bottle, soda bottle",
"738": "pot, flowerpot",
"739": "potter's wheel",
"740": "power drill",
"741": "prayer rug, prayer mat",
"742": "printer",
"743": "prison, prison house",
"744": "projectile, missile",
"745": "projector",
"746": "puck, hockey puck",
"747": "punching bag, punch bag, punching ball, punchball",
"748": "purse",
"749": "quill, quill pen",
"750": "quilt, comforter, comfort, puff",
"751": "racer, race car, racing car",
"752": "racket, racquet",
"753": "radiator",
"754": "radio, wireless",
"755": "radio telescope, radio reflector",
"756": "rain barrel",
"757": "recreational vehicle, RV, R.V.",
"758": "reel",
"759": "reflex camera",
"760": "refrigerator, icebox",
"761": "remote control, remote",
"762": "restaurant, eating house, eating place, eatery",
"763": "revolver, six-gun, six-shooter",
"764": "rifle",
"765": "rocking chair, rocker",
"766": "rotisserie",
"767": "rubber eraser, rubber, pencil eraser",
"768": "rugby ball",
"769": "rule, ruler",
"770": "running shoe",
"771": "safe",
"772": "safety pin",
"773": "saltshaker, salt shaker",
"774": "sandal",
"775": "sarong",
"776": "sax, saxophone",
"777": "scabbard",
"778": "scale, weighing machine",
"779": "school bus",
"780": "schooner",
"781": "scoreboard",
"782": "screen, CRT screen",
"783": "screw",
"784": "screwdriver",
"785": "seat belt, seatbelt",
"786": "sewing machine",
"787": "shield, buckler",
"788": "shoe shop, shoe-shop, shoe store",
"789": "shoji",
"790": "shopping basket",
"791": "shopping cart",
"792": "shovel",
"793": "shower cap",
"794": "shower curtain",
"795": "ski",
"796": "ski mask",
"797": "sleeping bag",
"798": "slide rule, slipstick",
"799": "sliding door",
"800": "slot, one-armed bandit",
"801": "snorkel",
"802": "snowmobile",
"803": "snowplow, snowplough",
"804": "soap dispenser",
"805": "soccer ball",
"806": "sock",
"807": "solar dish, solar collector, solar furnace",
"808": "sombrero",
"809": "soup bowl",
"810": "space bar",
"811": "space heater",
"812": "space shuttle",
"813": "spatula",
"814": "speedboat",
"815": "spider web, spider's web",
"816": "spindle",
"817": "sports car, sport car",
"818": "spotlight, spot",
"819": "stage",
"820": "steam locomotive",
"821": "steel arch bridge",
"822": "steel drum",
"823": "stethoscope",
"824": "stole",
"825": "stone wall",
"826": "stopwatch, stop watch",
"827": "stove",
"828": "strainer",
"829": "streetcar, tram, tramcar, trolley, trolley car",
"830": "stretcher",
"831": "studio couch, day bed",
"832": "stupa, tope",
"833": "submarine, pigboat, sub, U-boat",
"834": "suit, suit of clothes",
"835": "sundial",
"836": "sunglass",
"837": "sunglasses, dark glasses, shades",
"838": "sunscreen, sunblock, sun blocker",
"839": "suspension bridge",
"840": "swab, swob, mop",
"841": "sweatshirt",
"842": "swimming trunks, bathing trunks",
"843": "swing",
"844": "switch, electric switch, electrical switch",
"845": "syringe",
"846": "table lamp",
"847": "tank, army tank, armored combat vehicle, armoured combat vehicle",
"848": "tape player",
"849": "teapot",
"850": "teddy, teddy bear",
"851": "television, television system",
"852": "tennis ball",
"853": "thatch, thatched roof",
"854": "theater curtain, theatre curtain",
"855": "thimble",
"856": "thresher, thrasher, threshing machine",
"857": "throne",
"858": "tile roof",
"859": "toaster",
"860": "tobacco shop, tobacconist shop, tobacconist",
"861": "toilet seat",
"862": "torch",
"863": "totem pole",
"864": "tow truck, tow car, wrecker",
"865": "toyshop",
"866": "tractor",
"867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
"868": "tray",
"869": "trench coat",
"870": "tricycle, trike, velocipede",
"871": "trimaran",
"872": "tripod",
"873": "triumphal arch",
"874": "trolleybus, trolley coach, trackless trolley",
"875": "trombone",
"876": "tub, vat",
"877": "turnstile",
"878": "typewriter keyboard",
"879": "umbrella",
"880": "unicycle, monocycle",
"881": "upright, upright piano",
"882": "vacuum, vacuum cleaner",
"883": "vase",
"884": "vault",
"885": "velvet",
"886": "vending machine",
"887": "vestment",
"888": "viaduct",
"889": "violin, fiddle",
"890": "volleyball",
"891": "waffle iron",
"892": "wall clock",
"893": "wallet, billfold, notecase, pocketbook",
"894": "wardrobe, closet, press",
"895": "warplane, military plane",
"896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin",
"897": "washer, automatic washer, washing machine",
"898": "water bottle",
"899": "water jug",
"900": "water tower",
"901": "whiskey jug",
"902": "whistle",
"903": "wig",
"904": "window screen",
"905": "window shade",
"906": "Windsor tie",
"907": "wine bottle",
"908": "wing",
"909": "wok",
"910": "wooden spoon",
"911": "wool, woolen, woollen",
"912": "worm fence, snake fence, snake-rail fence, Virginia fence",
"913": "wreck",
"914": "yawl",
"915": "yurt",
"916": "web site, website, internet site, site",
"917": "comic book",
"918": "crossword puzzle, crossword",
"919": "street sign",
"920": "traffic light, traffic signal, stoplight",
"921": "book jacket, dust cover, dust jacket, dust wrapper",
"922": "menu",
"923": "plate",
"924": "guacamole",
"925": "consomme",
"926": "hot pot, hotpot",
"927": "trifle",
"928": "ice cream, icecream",
"929": "ice lolly, lolly, lollipop, popsicle",
"930": "French loaf",
"931": "bagel, beigel",
"932": "pretzel",
"933": "cheeseburger",
"934": "hotdog, hot dog, red hot",
"935": "mashed potato",
"936": "head cabbage",
"937": "broccoli",
"938": "cauliflower",
"939": "zucchini, courgette",
"940": "spaghetti squash",
"941": "acorn squash",
"942": "butternut squash",
"943": "cucumber, cuke",
"944": "artichoke, globe artichoke",
"945": "bell pepper",
"946": "cardoon",
"947": "mushroom",
"948": "Granny Smith",
"949": "strawberry",
"950": "orange",
"951": "lemon",
"952": "fig",
"953": "pineapple, ananas",
"954": "banana",
"955": "jackfruit, jak, jack",
"956": "custard apple",
"957": "pomegranate",
"958": "hay",
"959": "carbonara",
"960": "chocolate sauce, chocolate syrup",
"961": "dough",
"962": "meat loaf, meatloaf",
"963": "pizza, pizza pie",
"964": "potpie",
"965": "burrito",
"966": "red wine",
"967": "espresso",
"968": "cup",
"969": "eggnog",
"970": "alp",
"971": "bubble",
"972": "cliff, drop, drop-off",
"973": "coral reef",
"974": "geyser",
"975": "lakeside, lakeshore",
"976": "promontory, headland, head, foreland",
"977": "sandbar, sand bar",
"978": "seashore, coast, seacoast, sea-coast",
"979": "valley, vale",
"980": "volcano",
"981": "ballplayer, baseball player",
"982": "groom, bridegroom",
"983": "scuba diver",
"984": "rapeseed",
"985": "daisy",
"986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
"987": "corn",
"988": "acorn",
"989": "hip, rose hip, rosehip",
"990": "buckeye, horse chestnut, conker",
"991": "coral fungus",
"992": "agaric",
"993": "gyromitra",
"994": "stinkhorn, carrion fungus",
"995": "earthstar",
"996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",
"997": "bolete",
"998": "ear, spike, capitulum",
"999": "toilet tissue, toilet paper, bathroom tissue"
}
\ No newline at end of file
test/data/model.test.conv2d.json
浏览文件 @ 3687a96f
......@@ -126,7 +126,6 @@
2,
2
]
},
}
]
}
test/testUtils/testUtils.es6
浏览文件 @ 3687a96f
......@@ -22,7 +22,7 @@ const unitPath = {
'split': 'model.test.split.json'
};
// 制定运行的 op
const modelType = 'split';
const modelType = 'conv2d';
// 制定运行的 op
const unitData = unitPath[modelType];
......@@ -63,13 +63,13 @@ async function run() {
// 获取 NHWC -> NCHW 的 输出
const outputNCHWShape = getOutputShape();
const outputNHWCShape = nchwShape2nhwcShape(outputNCHWShape);
let nchwResult = Utils.nhwc2nchw(result, outputNHWCShape);
console.log('result');
console.log(result);
let nchwResult = Utils.nhwc2nchw(result, outputNHWCShape);
const formatData = Utils.formatReadData(nchwResult, outputNCHWShape);
console.log('NCHW RESULT');
console.log(nchwResult);
console.log(formatData);
}
run();
......@@ -112,6 +112,7 @@ function nchwShape2nhwcShape(nchw) {
}
batchNCHW = batch.concat(nchw);
}
const N = batchNCHW[0];
const C = batchNCHW[1];
const H = batchNCHW[2];
......
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