remove train benchmark for dsnet
parent
2f331d8588
commit
62c9d0f45d
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@ -50,11 +50,5 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.tran
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-o Global.benchmark:False
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-o Global.benchmark:False
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null:null
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===========================train_benchmark_params==========================
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batch_size:128
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fp_items:fp32
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epoch:1
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
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flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
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===========================infer_benchmark_params==========================
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===========================infer_benchmark_params==========================
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random_infer_input:[{float32,[3,224,224]}]
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random_infer_input:[{float32,[3,224,224]}]
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@ -50,11 +50,5 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.tran
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-o Global.benchmark:False
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-o Global.benchmark:False
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null:null
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null:null
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null:null
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null:null
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===========================train_benchmark_params==========================
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batch_size:128
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fp_items:fp32
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epoch:1
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
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flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
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===========================infer_benchmark_params==========================
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===========================infer_benchmark_params==========================
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random_infer_input:[{float32,[3,224,224]}]
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random_infer_input:[{float32,[3,224,224]}]
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@ -50,11 +50,5 @@ inference:python/predict_cls.py -c configs/inference_cls.yaml -o PreProcess.tran
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-o Global.benchmark:False
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-o Global.benchmark:False
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null:null
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null:null
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null:null
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null:null
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===========================train_benchmark_params==========================
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batch_size:128
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fp_items:fp32
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epoch:1
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--profiler_options:batch_range=[10,20];state=GPU;tracer_option=Default;profile_path=model.profile
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flags:FLAGS_eager_delete_tensor_gb=0.0;FLAGS_fraction_of_gpu_memory_to_use=0.98;FLAGS_conv_workspace_size_limit=4096
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===========================infer_benchmark_params==========================
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===========================infer_benchmark_params==========================
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random_infer_input:[{float32,[3,224,224]}]
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random_infer_input:[{float32,[3,224,224]}]
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