chore: export action for benchmark item
This commit is contained in:
@@ -11,6 +11,33 @@ import styled from 'styled-components';
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import { BenchmarkStatus, BenchmarkStatusLabelMap } from '../config';
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import { BenchmarkListItem as ListItem } from '../config/types';
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const allFields = [
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'cluster_id',
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'model_name',
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'dataset_name',
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'profile',
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'gpu_summary',
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'state',
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'request_rate',
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'request_latency_mean',
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'tokens_per_second_mean',
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'time_to_first_token_mean',
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'time_per_output_token_mean',
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'inter_token_latency_mean',
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'requests_per_second_mean',
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'input_tokens_per_second_mean',
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'output_tokens_per_second_mean',
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'total_requests',
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'successful_requests',
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'failed_requests',
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'request_concurrency',
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'created_at'
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];
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const fieldSortPos: Record<string, number> = Object.fromEntries(
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allFields.map((field, index) => [field, index + 1])
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);
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const SubTitleWrapper = styled.span.attrs({
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className: 'sub-title'
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})`
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@@ -68,31 +95,16 @@ const useColumnSettings = (options: {
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subTitle: `${intl.formatMessage({ id: 'benchmark.table.avg' })} (ms)`
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}
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),
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pos: 11,
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dataIndex: 'request_latency_mean',
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path: 'request_latency_mean',
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unit: 'ms',
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sorter: tableSorter(1),
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render: (value: number) => round(value, 2)
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},
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{
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title: 'TPS',
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pos: 12,
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dataIndex: 'tokens_per_second_mean',
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path: 'tokens_per_second_mean',
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unit: 'Tokens/s',
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sorter: tableSorter(1),
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render: (text: number) => (
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<AutoTooltip ghost minWidth={20}>
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{_.round(text, 2)}
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</AutoTooltip>
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)
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},
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{
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title: renderTitle('TTFT', {
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subTitle: `${intl.formatMessage({ id: 'benchmark.table.avg' })} (ms)`
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}),
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pos: 13,
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sorter: tableSorter(1),
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dataIndex: 'time_to_first_token_mean',
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path: 'time_to_first_token_mean',
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@@ -107,7 +119,6 @@ const useColumnSettings = (options: {
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title: renderTitle('TPOT', {
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subTitle: `${intl.formatMessage({ id: 'benchmark.table.avg' })} (ms)`
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}),
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pos: 14,
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sorter: tableSorter(1),
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dataIndex: 'time_per_output_token_mean',
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path: 'time_per_output_token_mean',
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@@ -122,7 +133,6 @@ const useColumnSettings = (options: {
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title: renderTitle('ITL', {
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subTitle: `${intl.formatMessage({ id: 'benchmark.table.avg' })} (ms)`
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}),
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pos: 15,
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sorter: tableSorter(1),
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dataIndex: 'inter_token_latency_mean',
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path: 'inter_token_latency_mean',
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@@ -131,7 +141,6 @@ const useColumnSettings = (options: {
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},
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{
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title: 'RPS',
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pos: 16,
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dataIndex: 'requests_per_second_mean',
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sorter: tableSorter(1),
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render: (text: string) => (
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@@ -140,6 +149,23 @@ const useColumnSettings = (options: {
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</AutoTooltip>
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)
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},
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{
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title: renderTitle(
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`${intl.formatMessage({ id: 'benchmark.detail.throughput.totalToken' })}`,
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{
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subTitle: '(Tokens/s)'
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}
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),
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dataIndex: 'tokens_per_second_mean',
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path: 'tokens_per_second_mean',
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unit: 'Tokens/s',
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sorter: tableSorter(1),
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render: (text: number) => (
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<AutoTooltip ghost minWidth={20}>
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{_.round(text, 2)}
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</AutoTooltip>
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)
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},
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{
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title: renderTitle(
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`${intl.formatMessage({
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@@ -149,7 +175,6 @@ const useColumnSettings = (options: {
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subTitle: '(Tokens/s)'
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}
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),
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pos: 17,
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dataIndex: 'input_tokens_per_second_mean',
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path: 'input_tokens_per_second_mean',
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unit: 'Tokens/s',
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@@ -168,7 +193,6 @@ const useColumnSettings = (options: {
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subTitle: '(Tokens/s)'
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}
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),
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pos: 18,
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dataIndex: 'output_tokens_per_second_mean',
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path: 'output_tokens_per_second_mean',
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unit: 'Tokens/s',
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@@ -182,8 +206,6 @@ const useColumnSettings = (options: {
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title: renderTitle(
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intl.formatMessage({ id: 'benchmark.detail.requests.total' })
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),
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pos: 19,
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key: 'total_requests',
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dataIndex: 'total_requests',
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path: 'total_requests',
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precision: 0,
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@@ -198,8 +220,6 @@ const useColumnSettings = (options: {
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title: renderTitle(
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intl.formatMessage({ id: 'benchmark.detail.requests.success' })
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),
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pos: 20,
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key: 'total_requests',
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dataIndex: 'successful_requests',
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path: ['raw_metrics', 'benchmarks', '0'],
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render: (value: number) =>
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@@ -213,8 +233,6 @@ const useColumnSettings = (options: {
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title: renderTitle(
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intl.formatMessage({ id: 'benchmark.detail.requests.failed' })
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),
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pos: 21,
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key: 'total_requests',
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dataIndex: 'failed_requests',
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path: ['raw_metrics', 'benchmarks', '0'],
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render: (value: number) =>
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@@ -229,8 +247,6 @@ const useColumnSettings = (options: {
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id: 'benchmark.detail.requests.concurrency'
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})
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),
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pos: 22,
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key: 'request_concurrency',
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dataIndex: 'request_concurrency',
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path: ['raw_metrics', 'benchmarks', '0'],
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render: (value: number) =>
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@@ -252,22 +268,12 @@ const useColumnSettings = (options: {
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</AutoTooltip>
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)
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},
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// {
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// title: renderTitle(intl.formatMessage({ id: 'resources.worker' })),
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// pos: 2,
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// dataIndex: 'worker_id',
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// render: (text: string) => (
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// <AutoTooltip ghost minWidth={20}>
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// {text}
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// </AutoTooltip>
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// )
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// },
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{
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title: renderTitle(
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intl.formatMessage({ id: 'benchmark.detail.modelName' })
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),
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pos: 3,
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dataIndex: 'model_name',
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sorter: tableSorter(1),
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render: (text: string) => (
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<AutoTooltip ghost minWidth={20}>
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{text}
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@@ -276,7 +282,6 @@ const useColumnSettings = (options: {
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},
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{
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title: renderTitle(intl.formatMessage({ id: 'benchmark.table.dataset' })),
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pos: 4,
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dataIndex: 'dataset_name',
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render: (text: string) => (
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<AutoTooltip ghost minWidth={20}>
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@@ -286,7 +291,6 @@ const useColumnSettings = (options: {
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},
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{
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title: renderTitle(intl.formatMessage({ id: 'benchmark.form.profile' })),
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pos: 5,
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dataIndex: 'profile',
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render: (text: string) => (
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<AutoTooltip ghost minWidth={20}>
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@@ -296,7 +300,6 @@ const useColumnSettings = (options: {
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},
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{
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title: renderTitle(intl.formatMessage({ id: 'benchmark.table.gpu' })),
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pos: 6,
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dataIndex: 'gpu_summary',
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render: (text: string) => (
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<AutoTooltip ghost minWidth={20}>
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@@ -306,7 +309,6 @@ const useColumnSettings = (options: {
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},
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{
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title: renderTitle(intl.formatMessage({ id: 'common.table.status' })),
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pos: 7,
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width: 120,
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dataIndex: 'state',
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render: (value: number, record: ListItem) => (
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@@ -332,7 +334,6 @@ const useColumnSettings = (options: {
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title: renderTitle(
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intl.formatMessage({ id: 'benchmark.table.requestRate' })
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),
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pos: 8,
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dataIndex: 'request_rate',
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render: (text: string) => (
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<AutoTooltip ghost minWidth={20}>
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@@ -342,7 +343,6 @@ const useColumnSettings = (options: {
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},
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{
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title: renderTitle(intl.formatMessage({ id: 'common.table.createTime' })),
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pos: 23,
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dataIndex: 'created_at',
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sorter: tableSorter(6),
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render: (value: string) => (
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@@ -368,7 +368,10 @@ const useColumnSettings = (options: {
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selectedColumns.includes(col.dataIndex as string)
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);
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// Sort by pos
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selected.sort((a, b) => (a.pos || 0) - (b.pos || 0));
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selected.sort(
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(a, b) =>
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(fieldSortPos[a.dataIndex] || 0) - (fieldSortPos[b.dataIndex] || 0)
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);
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return selected;
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}, [selectedColumns, clusterList]);
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