result.json
test_gpu_decorator.py
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| { | |
| "commits": [ | |
| "7ea1152603baef5f0012905f321586399f816958" | |
| ], | |
| "dates": [ | |
| "2019-07-11 09:51:36 -0700" | |
| ], | |
| "content": [ | |
| { | |
| "nvml_driver_version": "418.67", | |
| "nvml_system_nvml_version": "10.418.67", | |
| "nvml_deviceCount": 1, | |
| "nvml_unit_count": 0, | |
| "devices": { | |
| "Tesla V100-SXM2-32GB": { | |
| "nvml_device_board_id": 6656, | |
| "nvml_device_multi_gpu_board": 0, | |
| "nvml_device_brand": 2, | |
| "nvml_device_serial": "0323518083147", | |
| "nvml_device_set_cpu_affinite": null, | |
| "nvml_device_minor_number": 0, | |
| "nvml_device_uuid": "GPU-be7b9ac8-f75e-1960-c52d-85429b4c86b1", | |
| "nvml_device_inforom_version": "G503.0203.00.04", | |
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| "nvml_device_display_mode": 1, | |
| "nvml_device_display_active": 0, | |
| "nvml_device_persistence_mode": 1, | |
| "nvml_device_supported_memory_clocks": [ | |
| 877 | |
| ], | |
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| "nvml_device_power_managerment_mode": 1, | |
| "nvml_device_power_management_limit": 300000, | |
| "nvml_device_power_management_limit_constraints": [ | |
| 150000, | |
| 300000 | |
| ], | |
| "nvml_device_power_management_default_limit": 300000, | |
| "nvml_device_enforced_power_limit": 300000, | |
| "nvml_device_power_usage": 43955, | |
| "nvml_device_memory_info": { | |
| "free": 34058207232, | |
| "total": 34058272768, | |
| "used": 65536 | |
| }, | |
| "nvml_device_bar1_memory_info": { | |
| "bar1Free": 34357047296, | |
| "bar1Total": 34359738368, | |
| "bar1Used": 2691072 | |
| }, | |
| "nvml_device_compute_mode": 3, | |
| "nvml_device_ecc_mode": [ | |
| 1, | |
| 1 | |
| ], | |
| "nvml_device_current_ecc_mode": 1, | |
| "nvml_device_pending_ecc_mode": 1, | |
| "nvml_device_utilization_rates": { | |
| "gpu": 0, | |
| "memory": 0 | |
| }, | |
| "nvml_device_encoder_utilization": [ | |
| 0, | |
| 167000 | |
| ], | |
| "nvml_device_decoder_utilization": [ | |
| 0, | |
| 167000 | |
| ], | |
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| "nvml_device_grapics_running_processes": [], | |
| "nvml_device_supported_event_types": 31, | |
| "nvml_device_current_pcie_link_generation": 3, | |
| "nvml_device_max_pcie_link_generation": 3, | |
| "nvml_device_curr_pcie_link_width": 16, | |
| "nvml_device_max_pcie_link_width": 16, | |
| "nvml_device_supported_clocks_throttle_reasons": 511, | |
| "nvml_device_current_clocks_throttle_reasons": 1, | |
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| "nvml_device_accounting_pids": [], | |
| "nvml_device_accounting_buffer_size": 4000 | |
| } | |
| }, | |
| "SECONDS": "3" | |
| }, | |
| { | |
| "nvml_driver_version": "418.67", | |
| "nvml_system_nvml_version": "10.418.67", | |
| "nvml_deviceCount": 1, | |
| "nvml_unit_count": 0, | |
| "devices": { | |
| "Tesla V100-SXM2-32GB": { | |
| "nvml_device_board_id": 6656, | |
| "nvml_device_multi_gpu_board": 0, | |
| "nvml_device_brand": 2, | |
| "nvml_device_serial": "0323518083147", | |
| "nvml_device_set_cpu_affinite": null, | |
| "nvml_device_minor_number": 0, | |
| "nvml_device_uuid": "GPU-be7b9ac8-f75e-1960-c52d-85429b4c86b1", | |
| "nvml_device_inforom_version": "G503.0203.00.04", | |
| "nvml_device_inforam_checksum": 0, | |
| "nvml_device_display_mode": 1, | |
| "nvml_device_display_active": 0, | |
| "nvml_device_persistence_mode": 1, | |
| "nvml_device_supported_memory_clocks": [ | |
| 877 | |
| ], | |
| "nvml_device_performance_state": 0, | |
| "nvml_device_management_mode": 1, | |
| "nvml_device_power_managerment_mode": 1, | |
| "nvml_device_power_management_limit": 300000, | |
| "nvml_device_power_management_limit_constraints": [ | |
| 150000, | |
| 300000 | |
| ], | |
| "nvml_device_power_management_default_limit": 300000, | |
| "nvml_device_enforced_power_limit": 300000, | |
| "nvml_device_power_usage": 43955, | |
| "nvml_device_memory_info": { | |
| "free": 34058207232, | |
| "total": 34058272768, | |
| "used": 65536 | |
| }, | |
| "nvml_device_bar1_memory_info": { | |
| "bar1Free": 34357047296, | |
| "bar1Total": 34359738368, | |
| "bar1Used": 2691072 | |
| }, | |
| "nvml_device_compute_mode": 3, | |
| "nvml_device_ecc_mode": [ | |
| 1, | |
| 1 | |
| ], | |
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| "nvml_device_utilization_rates": { | |
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| "memory": 0 | |
| }, | |
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| 167000 | |
| ], | |
| "nvml_device_decoder_utilization": [ | |
| 0, | |
| 167000 | |
| ], | |
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| "nvml_device_vbios_version": "88.00.43.00.03", | |
| "nvml_device_compute_running_processes": [], | |
| "nvml_device_grapics_running_processes": [], | |
| "nvml_device_supported_event_types": 31, | |
| "nvml_device_current_pcie_link_generation": 3, | |
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| "nvml_device_max_pcie_link_width": 16, | |
| "nvml_device_supported_clocks_throttle_reasons": 511, | |
| "nvml_device_current_clocks_throttle_reasons": 1, | |
| "nvml_device_index": 0, | |
| "nvml_device_accounting_mode": 0, | |
| "nvml_device_accounting_pids": [], | |
| "nvml_device_accounting_buffer_size": 4000 | |
| } | |
| }, | |
| "SECONDS": "3" | |
| } | |
| ] | |
| } |
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| #!/usr/bin/env python | |
| fromwatchme.watchers.gpu.decoratorsimportmonitor_gpu | |
| fromtimeimportsleep | |
| # Here we create a decorator to monitor "myfunc." Specifically, we: | |
| # - want to use the watcher "decorator" that already exists. If we want to | |
| # create on the fly, we would set creat=True | |
| # - will record metrics every 3 seconds | |
| # - to have somewhat of an impact on system resources we make a long list | |
| # - we test to ensure that something is returned ("Hello!") | |
| @monitor_gpu('gpu', seconds=3) | |
| defmyfunc(iters, pause): | |
| long_list= [] | |
| print("Generating a long list, pause is %s and iters is %s"% (pause, iters)) | |
| foriinrange(iters): | |
| long_list=long_list+ (i*10)*['pancakes'] | |
| print("i is %s, sleeping %s seconds"% (i, pause)) | |
| sleep(pause) | |
| returnlen(long_list) | |
| # ensure the function runs when the file is called | |
| if__name__=='__main__': | |
| print("Calling myfunc with 2 iters") | |
| result=myfunc(2, 2) | |
| print("Result list has length %s"%result) |