/
gpu_kernel_layer_aggre_dram_write.go
84 lines (73 loc) · 1.91 KB
/
gpu_kernel_layer_aggre_dram_write.go
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package cmd
import (
"fmt"
"os"
"path/filepath"
"sort"
"strings"
"github.com/rai-project/evaluation"
"github.com/spf13/cobra"
)
var gpuKernelLayerAggreDramWriteCmd = &cobra.Command{
Use: "layer_aggre_dram_write",
Aliases: []string{},
Short: "Get the total dram write of all GPU kernels within each layer from system library traces in a database. Specify model name as `all` to list information of all the models.",
PreRunE: func(cmd *cobra.Command, args []string) error {
if databaseName == "" {
databaseName = defaultDatabaseName["cuda_kernel"]
}
err := rootSetup()
if err != nil {
return err
}
if modelName == "all" && outputFormat == "json" && outputFileName == "" {
outputFileName = filepath.Join(mlArcWebAssetsPath, "cuda_kernel_launch")
}
if overwrite && isExists(outputFileName) {
os.RemoveAll(outputFileName)
}
if kernelNameFilterString != "" {
kernelNameFilterList = strings.Split(kernelNameFilterString, ",")
}
return nil
},
RunE: func(cmd *cobra.Command, args []string) error {
run := func() error {
evals, err := getEvaluations()
if err != nil {
return err
}
summary0, err := evals.SummaryGPUKernelLayerAggreInformations(performanceCollection)
if err != nil {
return err
}
if sortOutput {
sort.Sort(summary0)
}
summary := evaluation.SummaryGPUKernelLayerDramWriteInformations(summary0)
if barPlot {
err := summary.WriteBarPlot(plotPath)
if err != nil {
return err
}
fmt.Println("Created plot in " + plotPath)
return nil
}
if openPlot {
return summary.OpenBarPlot()
}
var writer *Writer
if len(summary0) == 0 {
writer = NewWriter(evaluation.SummaryGPUKernelLayerAggreInformation{})
defer writer.Close()
}
writer = NewWriter(summary0[0])
defer writer.Close()
for _, elem := range summary0 {
writer.Row(elem)
}
return nil
}
return forallmodels(run)
},
}