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Evaluation tools for model performance / accuracy for MLModelScope

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.vscode
.vscode
 
 
cmd
cmd
 
 
eventflow
eventflow
 
 
metrics
metrics
 
 
plotting
plotting
 
 
run
run
 
 
utils
utils
 
 
wl
wl
 
 
writer
writer
 
 
.agignore
.agignore
 
 
.editorconfig
.editorconfig
 
 
.gitignore
.gitignore
 
 
.gitmodules
.gitmodules
 
 
.travis.yml
.travis.yml
 
 
Gopkg.lock
Gopkg.lock
 
 
Gopkg.toml
Gopkg.toml
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
accuracies.go
accuracies.go
 
 
accuracy.go
accuracy.go
 
 
defaults.go
defaults.go
 
 
divergence.go
divergence.go
 
 
duration_numerics.go
duration_numerics.go
 
 
evaluation.go
evaluation.go
 
 
evaluation_easyjson.go
evaluation_easyjson.go
 
 
evaluation_test.go
evaluation_test.go
 
 
evaluations.go
evaluations.go
 
 
gen-tag_info.go
gen-tag_info.go
 
 
generate.go
generate.go
 
 
glide.yaml
glide.yaml
 
 
init.go
init.go
 
 
num.go
num.go
 
 
performance.go
performance.go
 
 
performances.go
performances.go
 
 
plotter.go
plotter.go
 
 
power.sh
power.sh
 
 
prediction.go
prediction.go
 
 
selectors.go
selectors.go
 
 
spans.go
spans.go
 
 
summary.go
summary.go
 
 
summary_event_flow.go
summary_event_flow.go
 
 
summary_gpu_kernel.go
summary_gpu_kernel.go
 
 
summary_gpu_kernel_layer_aggre.go
summary_gpu_kernel_layer_aggre.go
 
 
summary_gpu_kernel_model_aggre.go
summary_gpu_kernel_model_aggre.go
 
 
summary_gpu_kernel_name_aggre.go
summary_gpu_kernel_name_aggre.go
 
 
summary_gpu_memory.go
summary_gpu_memory.go
 
 
summary_layer.go
summary_layer.go
 
 
summary_layer_aggre.go
summary_layer_aggre.go
 
 
summary_model.go
summary_model.go
 
 
summary_model_accuracy.go
summary_model_accuracy.go
 
 
summary_model_memory.go
summary_model_memory.go
 
 
tag_info.go
tag_info.go
 
 
utils.go
utils.go
 
 
utils_span.go
utils_span.go
 
 
utils_tf.go
utils_tf.go
 
 
zero.go
zero.go
 
 

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MLModelScope enables easy evaluations of both performance and accuracy of models across frameworks and systems. This repo contains commands that help summarize and visualize the experiments results.

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Evaluation tools for model performance / accuracy for MLModelScope

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