1.fixed an issue where error message disappears after the vertical axis is switched in tensor histogram mode 2.fix eslint 3.Optimized I18n string statements and the radar chart line colortags/v1.2.0-rc1
| @@ -38,6 +38,20 @@ export default { | |||
| '#A34142', | |||
| '#664EA3', | |||
| ], | |||
| radarColorArr: [ | |||
| '#00A5A7', | |||
| '#F45C5E', | |||
| '#4C6BC2', | |||
| '#C2663A', | |||
| '#7EB05D', | |||
| '#468BC2', | |||
| '#BF5254', | |||
| '#C2AE44', | |||
| '#56B077', | |||
| '#25386E', | |||
| '#8A4321', | |||
| '#388252', | |||
| ], | |||
| commonColorArr: [ | |||
| '#00A5A7', | |||
| '#6C92FA', | |||
| @@ -153,7 +153,7 @@ export default { | |||
| }, | |||
| padding: [15, 16], | |||
| }, | |||
| color: common.pieColorArr, | |||
| color: common.radarColorArr, | |||
| radar: { | |||
| shape: 'circle', | |||
| name: { | |||
| @@ -64,7 +64,7 @@ export default { | |||
| }, | |||
| methods: { | |||
| /** | |||
| * format Chart option | |||
| * Format Chart option | |||
| */ | |||
| formateCharOption() { | |||
| @@ -156,7 +156,7 @@ export default { | |||
| }, | |||
| /** | |||
| * format Chart option | |||
| * Create chart | |||
| */ | |||
| createChart() { | |||
| @@ -107,10 +107,14 @@ limitations under the License. | |||
| <script> | |||
| /** | |||
| * The PublicStore holds the key of focused selector | |||
| * The publicStore holds the key of focused selector | |||
| * When there is more than two component in same page, help selector to keep correct display | |||
| */ | |||
| const PublicStore = { activeKey: { key: '' } }; | |||
| const publicStore = { | |||
| activeKey: { | |||
| key: '', | |||
| }, | |||
| }; | |||
| export default { | |||
| props: { | |||
| multiple: { | |||
| @@ -170,11 +174,11 @@ export default { | |||
| containerWidth: 0, // The min-width of container | |||
| containerToSelector: 12, // The gap between options-container and selector | |||
| functionAble: true, // The effective of button after input | |||
| // The key of component to make sure it can be distinguished from PublicStore | |||
| // The key of component to make sure it can be distinguished from publicStore | |||
| key: new Date().getTime().toString(), | |||
| filter: '', // The value to filter the option | |||
| ifEmpty: true, // If no option match the filter | |||
| activeKey: undefined, // In order to add wacter to the PublicStore.activeKey.key | |||
| activeKey: undefined, // In order to add wacter to the publicStore.activeKey.key | |||
| latestIndex: undefined, // The index of the last click option, only effective when multiple is false | |||
| indexes: [], // The list of index of selected options | |||
| filterDebounce: 150, // The filter watcher debounce time in ms | |||
| @@ -226,7 +230,7 @@ export default { | |||
| * @param {Object} event | |||
| */ | |||
| mouseClick(event) { | |||
| PublicStore.activeKey.key = this.key; | |||
| publicStore.activeKey.key = this.key; | |||
| event.stopPropagation(); | |||
| event.preventDefault(); | |||
| }, | |||
| @@ -381,7 +385,7 @@ export default { | |||
| this.options = this.processData(this.source); | |||
| this.ifEmpty = false; | |||
| } | |||
| this.activeKey = PublicStore.activeKey; | |||
| this.activeKey = publicStore.activeKey; | |||
| window.addEventListener('click', this.clickHandler); | |||
| }, | |||
| mounted() { | |||
| @@ -423,7 +427,7 @@ export default { | |||
| }, this.filterDebounce); | |||
| }, | |||
| // The watcher of source can process asynchronous data input, or make response when original data changed | |||
| source: { | |||
| 'source': { | |||
| handler(newVal) { | |||
| this.indexes = []; | |||
| this.options = this.processData(newVal); | |||
| @@ -439,7 +443,7 @@ export default { | |||
| } | |||
| }, | |||
| }, | |||
| indexes: { | |||
| 'indexes': { | |||
| handler() { | |||
| this.$nextTick(() => { | |||
| this.$emit('selectedUpdate', this.calValues()); | |||
| @@ -326,6 +326,9 @@ | |||
| "minddata_pipeline-general": { | |||
| "desc": "The {n1} operator in the pipeline may have performance bottlenecks." | |||
| }, | |||
| "minddata_cpu_utilization": { | |||
| "desc": "The average CPU usage of the entire system is {n1}, which may affect the data processing performance." | |||
| }, | |||
| "minddata_pipeline-dataset_op": { | |||
| "desc": "For operator {n1}, you can adjust the num_parallel_workers parameter." | |||
| }, | |||
| @@ -464,18 +467,18 @@ | |||
| "memoryKiBUnit": "KiB", | |||
| "usedMemory": "Memory Usage", | |||
| "operatorMemoryAssign": "Operator Memory Allocation", | |||
| "tensorName": "Tensor name", | |||
| "totalTensorMemoryAssign": "Tensor size", | |||
| "tensorName": "Tensor Name", | |||
| "totalTensorMemoryAssign": "Tensor Size", | |||
| "format": "Format", | |||
| "tensorType": "Tensor type", | |||
| "tensorType": "Tensor Type", | |||
| "dataType": "Data Type", | |||
| "shapes": "Shape", | |||
| "chartXaxisUnit": "Execution ID", | |||
| "chartYaxisUnit": "Size(GiB)", | |||
| "curOperaterId": "Current Operator Execution ID", | |||
| "curOperator": "Current Operator", | |||
| "curOperatorMemorySize": "Memory occupied by the current operator", | |||
| "curMemorySize": "Total memory occupied", | |||
| "curOperatorMemorySize": "Memory Occupied by Current Operator", | |||
| "curMemorySize": "Total Occupied Usage", | |||
| "memoryChanged": "Memory Change", | |||
| "lifeCycle": "Lifecycle", | |||
| "fpStart": "Forward", | |||
| @@ -837,11 +840,11 @@ | |||
| "minConfidenceTip": "Probability threshold of a prediction tag. A tag is recorded as a prediction tag if its output probability is greater than the threshold.", | |||
| "noData": "Loading data... Refresh the page later", | |||
| "predictionType": "Prediction Type", | |||
| "disableSaliencyMapTip": "Failed to view saliency map visualization because no saliency map log is available.", | |||
| "disableHOCTip": "Failed to view counterfactual explanation because no counterfactual explanation log is available.", | |||
| "hocMinConfidenceTip": "Display and explain the labels whose prediction probability is greater than the prediction threshold", | |||
| "imageList": "Picture list", | |||
| "hocTitleTip": "Gradually shrink the display range to find the minimum display area where the prediction probability is greater than the threshold" | |||
| "disableSaliencyMapTip": "No saliency map visualization log is available.", | |||
| "disableHOCTip": "No counterfactual explanation log is available.", | |||
| "hocMinConfidenceTip": "Display and explanation for tags whose prediction probability is greater than the prediction threshold", | |||
| "imageList": "Image list", | |||
| "hocTitleTip": "Gradually shrink the display area to find the minimum display area where the prediction probability is greater than the threshold" | |||
| }, | |||
| "metric": { | |||
| "scoreSystem": "Scoring System", | |||
| @@ -325,6 +325,9 @@ | |||
| "minddata_pipeline-general": { | |||
| "desc": "Pipeline中的算子{n1}可能存在性能瓶颈,请用户重点关注。" | |||
| }, | |||
| "minddata_cpu_utilization": { | |||
| "desc": "整机CPU利用率平均值为{n1},可能影响数据处理性能,请用户关注。" | |||
| }, | |||
| "minddata_pipeline-dataset_op": { | |||
| "desc": "对于算子{n1},用户可以尝试调整num_parallel_workers参数。" | |||
| }, | |||
| @@ -817,10 +820,10 @@ | |||
| "typeTip": "查询包含任一预测类型的图片数据", | |||
| "confidence": "概率", | |||
| "forecastTagTip": "当推理图片带有正确标签时,标签行会显示下列三种旗标", | |||
| "TP": "TP,代表Ture Positive,标签为正样本,分类为正样本;", | |||
| "TP": "TP,代表True Positive,标签为正样本,分类为正样本;", | |||
| "FN": "FN,代表False Negative,标签为正样本,分类为负样本;", | |||
| "FP": "FP,代表False Positive,标签为负样本,分类为正样本;", | |||
| "TN": "TN,代表Ture Negative,标签为负样本,分类为负样本;", | |||
| "TN": "TN,代表True Negative,标签为负样本,分类为负样本;", | |||
| "coverfactualInterpretation": "遮掩反事实解释", | |||
| "viewExplanation": "查看解释", | |||
| "maskingProcess": "逐层遮掩过程", | |||
| @@ -1607,16 +1607,16 @@ export default { | |||
| this.curPageArr.forEach((sampleObject) => { | |||
| if (sampleObject.charObj) { | |||
| const log = sampleObject.log; | |||
| sampleObject.charData.charOption.series.forEach((serie, index) => { | |||
| sampleObject.charData.charOption.series.forEach((singleItem, index) => { | |||
| if (index % 2 === 0) { | |||
| if (log) { | |||
| serie.data = this.formateSmoothData( | |||
| singleItem.data = this.formateSmoothData( | |||
| sampleObject.charData.oriData[index / 2].logData[ | |||
| this.curBenchX | |||
| ], | |||
| ); | |||
| } else { | |||
| serie.data = this.formateSmoothData( | |||
| singleItem.data = this.formateSmoothData( | |||
| sampleObject.charData.oriData[index / 2].valueData[ | |||
| this.curBenchX | |||
| ], | |||
| @@ -507,9 +507,9 @@ export default { | |||
| // Update the smoothness of initialized data | |||
| if (this.charObj) { | |||
| if (this.charOption.series && this.charOption.series.length > 0) { | |||
| this.charOption.series.forEach((serie, index) => { | |||
| this.charOption.series.forEach((singleItem, index) => { | |||
| if (index % 2 === 0) { | |||
| serie.data = this.formateSmoothData( | |||
| singleItem.data = this.formateSmoothData( | |||
| this.charData[index / 2].valueData[this.curBenchX], | |||
| ); | |||
| } | |||
| @@ -1467,16 +1467,16 @@ export default { | |||
| this.curPageArr.forEach((sampleObject) => { | |||
| if (sampleObject.charObj) { | |||
| const log = sampleObject.log; | |||
| sampleObject.charData.charOption.series.forEach((serie, index) => { | |||
| sampleObject.charData.charOption.series.forEach((singleItem, index) => { | |||
| if (index % 2 === 0) { | |||
| if (log) { | |||
| serie.data = this.formateSmoothData( | |||
| singleItem.data = this.formateSmoothData( | |||
| sampleObject.charData.oriData[index / 2].logData[ | |||
| this.curBenchX | |||
| ], | |||
| ); | |||
| } else { | |||
| serie.data = this.formateSmoothData( | |||
| singleItem.data = this.formateSmoothData( | |||
| sampleObject.charData.oriData[index / 2].valueData[ | |||
| this.curBenchX | |||
| ], | |||
| @@ -348,6 +348,7 @@ export default { | |||
| fullData: [], | |||
| filterStr: '', | |||
| curMartixShowSliderValue: 0, | |||
| showErrorTip: false, | |||
| }); | |||
| } | |||
| }); | |||
| @@ -485,6 +486,7 @@ export default { | |||
| }; | |||
| RequestService.getTensorsSample(params).then( | |||
| (res) => { | |||
| sampleItem.showErrorTip = false; | |||
| sampleItem.showLoading = false; | |||
| if (!res || !res.data || !this.curDataType) { | |||
| return; | |||
| @@ -604,6 +606,7 @@ export default { | |||
| sampleItem.curMartixShowSliderValue = sampleItem.sliderValue; | |||
| RequestService.getTensorsSample(params).then( | |||
| (res) => { | |||
| sampleItem.showErrorTip = false; | |||
| sampleItem.showLoading = false; | |||
| if (!res || !res.data || this.curDataType) { | |||
| return; | |||
| @@ -660,6 +663,7 @@ export default { | |||
| errorData.response.data.error_code.toString() === '50545016') | |||
| ) { | |||
| showLimitError = true; | |||
| sampleItem.showErrorTip = true; | |||
| errorMsg = this.$t('error')[errorData.response.data.error_code]; | |||
| } | |||
| if (isMartix) { | |||
| @@ -722,9 +726,11 @@ export default { | |||
| } | |||
| this.axisNameChangeTimer = setTimeout(() => { | |||
| this.curPageArr.forEach((sampleItem) => { | |||
| const elementItem = this.$refs[sampleItem.ref]; | |||
| if (elementItem) { | |||
| elementItem[0].updateHistogramData(); | |||
| if (!sampleItem.showErrorTip) { | |||
| const elementItem = this.$refs[sampleItem.ref]; | |||
| if (elementItem) { | |||
| elementItem[0].updateHistogramData(); | |||
| } | |||
| } | |||
| }); | |||
| }, 500); | |||
| @@ -740,9 +746,11 @@ export default { | |||
| } | |||
| this.viewNameChangeTimer = setTimeout(() => { | |||
| this.curPageArr.forEach((sampleItem) => { | |||
| const elementItem = this.$refs[sampleItem.ref]; | |||
| if (elementItem) { | |||
| elementItem[0].updateHistogramData(); | |||
| if (!sampleItem.showErrorTip) { | |||
| const elementItem = this.$refs[sampleItem.ref]; | |||
| if (elementItem) { | |||
| elementItem[0].updateHistogramData(); | |||
| } | |||
| } | |||
| }); | |||
| }, 200); | |||
| @@ -930,6 +938,7 @@ export default { | |||
| fullData: [], | |||
| filterStr: '', | |||
| curMartixShowSliderValue: 0, | |||
| showErrorTip: false, | |||
| }); | |||
| this.curFullTagDic[tagName] = true; | |||
| dataAddFlag = true; | |||