diff --git "a/error.log" "b/error.log"
--- "a/error.log"
+++ "b/error.log"
@@ -1,174 +1,51 @@
 /opt/conda/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
   warnings.warn(
-[codecarbon INFO @ 18:21:18] [setup] RAM Tracking...
-[codecarbon INFO @ 18:21:18] [setup] GPU Tracking...
-[codecarbon INFO @ 18:21:18] Tracking Nvidia GPU via pynvml
-[codecarbon DEBUG @ 18:21:18] GPU available. Starting setup
-[codecarbon INFO @ 18:21:18] [setup] CPU Tracking...
-[codecarbon DEBUG @ 18:21:18] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
-[codecarbon DEBUG @ 18:21:18] Not using the RAPL interface, an exception occurred while instantiating IntelRAPL : Intel RAPL files not found at /sys/class/powercap/intel-rapl on linux
-[codecarbon DEBUG @ 18:21:18] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
-[codecarbon WARNING @ 18:21:18] No CPU tracking mode found. Falling back on CPU constant mode.
-[codecarbon WARNING @ 18:21:19] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
-[codecarbon INFO @ 18:21:19] CPU Model on constant consumption mode: AMD EPYC 7R32
-[codecarbon INFO @ 18:21:19] >>> Tracker's metadata:
-[codecarbon INFO @ 18:21:19]   Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
-[codecarbon INFO @ 18:21:19]   Python version: 3.9.20
-[codecarbon INFO @ 18:21:19]   CodeCarbon version: 2.5.1
-[codecarbon INFO @ 18:21:19]   Available RAM : 186.705 GB
-[codecarbon INFO @ 18:21:19]   CPU count: 48
-[codecarbon INFO @ 18:21:19]   CPU model: AMD EPYC 7R32
-[codecarbon INFO @ 18:21:19]   GPU count: 1
-[codecarbon INFO @ 18:21:19]   GPU model: 1 x NVIDIA A10G
-[codecarbon DEBUG @ 18:21:20] Not running on AWS
-[codecarbon DEBUG @ 18:21:21] Not running on Azure
-[codecarbon DEBUG @ 18:21:22] Not running on GCP
-[codecarbon INFO @ 18:21:22] Saving emissions data to file /runs/codecarbon.csv
-[codecarbon DEBUG @ 18:21:22] EmissionsData(timestamp='2024-10-07T18:21:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0021516569540835917, emissions=0.0, emissions_rate=0.0, cpu_power=0.0, gpu_power=0.0, ram_power=0.0, cpu_energy=0, gpu_energy=0, ram_energy=0, energy_consumed=0, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon INFO @ 18:21:22] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.2622342109680176 W
-[codecarbon DEBUG @ 18:21:22] RAM : 0.26 W during 0.03 s [measurement time: 0.0005]
-[codecarbon INFO @ 18:21:22] Energy consumed for all GPUs : 0.000000 kWh. Total GPU Power : 0.0 W
-[codecarbon DEBUG @ 18:21:22] GPU : 0.00 W during 0.03 s [measurement time: 0.0022]
-[codecarbon INFO @ 18:21:22] Energy consumed for all CPUs : 0.000000 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:21:22] CPU : 42.50 W during 0.03 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:21:22] 0.000000 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:21:22] last_duration=0.02913639898179099
-------------------------
-[codecarbon DEBUG @ 18:21:22] EmissionsData(timestamp='2024-10-07T18:21:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.03220585797680542, emissions=1.4065464079452445e-07, emissions_rate=4.36736201519064e-06, cpu_power=42.5, gpu_power=0.0, ram_power=0.2622342109680176, cpu_energy=3.789163760100362e-07, gpu_energy=0.0, ram_energy=2.122750170069354e-09, energy_consumed=3.8103912618010555e-07, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:21:23] EmissionsData(timestamp='2024-10-07T18:21:23', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0021628469694405794, emissions=1.4065464079452445e-07, emissions_rate=6.50321741583524e-05, cpu_power=42.5, gpu_power=0.0, ram_power=0.2622342109680176, cpu_energy=3.789163760100362e-07, gpu_energy=0.0, ram_energy=2.122750170069354e-09, energy_consumed=3.8103912618010555e-07, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-
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-[codecarbon WARNING @ 18:21:33] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:21:33] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.37560224533081055 W
-[codecarbon DEBUG @ 18:21:33] RAM : 0.38 W during 10.00 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:21:33] Energy consumed for all GPUs : 0.000575 kWh. Total GPU Power : 206.86010261651086 W
-[codecarbon DEBUG @ 18:21:33] GPU : 206.86 W during 10.00 s [measurement time: 0.0023]
-[codecarbon INFO @ 18:21:33] Energy consumed for all CPUs : 0.000118 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:21:33] CPU : 42.50 W during 10.00 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:21:33] 0.000694 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:21:33] last_duration=9.99766578496201
-------------------------
-[codecarbon DEBUG @ 18:21:33] EmissionsData(timestamp='2024-10-07T18:21:33', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=10.000919475976843, emissions=0.0002561848350256192, emissions_rate=2.561612816111553e-05, cpu_power=42.5, gpu_power=206.86010261651086, ram_power=0.37560224533081055, cpu_energy=0.00011844413188652349, gpu_energy=0.0005745257373979129, ram_energy=1.045238410158554e-06, energy_consumed=0.0006940151076945949, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:21:33] EmissionsData(timestamp='2024-10-07T18:21:33', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020105059957131743, emissions=0.0002561848350256192, emissions_rate=0.127423064428487, cpu_power=42.5, gpu_power=206.86010261651086, ram_power=0.37560224533081055, cpu_energy=0.00011844413188652349, gpu_energy=0.0005745257373979129, ram_energy=1.045238410158554e-06, energy_consumed=0.0006940151076945949, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:21:43] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:21:43] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.37569379806518555 W
-[codecarbon DEBUG @ 18:21:43] RAM : 0.38 W during 9.95 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:21:43] Energy consumed for all GPUs : 0.001149 kWh. Total GPU Power : 207.74912185122844 W
-[codecarbon DEBUG @ 18:21:43] GPU : 207.75 W during 9.95 s [measurement time: 0.0023]
-[codecarbon INFO @ 18:21:43] Energy consumed for all CPUs : 0.000236 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:21:43] CPU : 42.50 W during 9.95 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:21:43] 0.001387 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:21:43] last_duration=9.950208894966636
-------------------------
-[codecarbon DEBUG @ 18:21:43] EmissionsData(timestamp='2024-10-07T18:21:43', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.953405004984234, emissions=0.0005119189639715561, emissions_rate=5.143154163979154e-05, cpu_power=42.5, gpu_power=207.74912185122844, ram_power=0.37569379806518555, cpu_energy=0.0002359482812617999, gpu_energy=0.001148777307909743, ram_energy=2.0836451693422713e-06, energy_consumed=0.0013868092343408852, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:21:43] EmissionsData(timestamp='2024-10-07T18:21:43', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020230559748597443, emissions=0.0005119189639715561, emissions_rate=0.25304241223827073, cpu_power=42.5, gpu_power=207.74912185122844, ram_power=0.37569379806518555, cpu_energy=0.0002359482812617999, gpu_energy=0.001148777307909743, ram_energy=2.0836451693422713e-06, energy_consumed=0.0013868092343408852, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:21:53] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:21:53] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.37569379806518555 W
-[codecarbon DEBUG @ 18:21:53] RAM : 0.38 W during 9.93 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:21:53] Energy consumed for all GPUs : 0.001719 kWh. Total GPU Power : 206.70872584047714 W
-[codecarbon DEBUG @ 18:21:53] GPU : 206.71 W during 9.93 s [measurement time: 0.0023]
-[codecarbon INFO @ 18:21:53] Energy consumed for all CPUs : 0.000353 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:21:53] CPU : 42.50 W during 9.93 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:21:53] 0.002075 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:21:53] last_duration=9.927938432025257
-------------------------
-[codecarbon DEBUG @ 18:21:53] EmissionsData(timestamp='2024-10-07T18:21:53', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.931118632026482, emissions=0.0007660216043713403, emissions_rate=7.713346630469468e-05, cpu_power=42.5, gpu_power=206.70872584047714, ram_power=0.37569379806518555, cpu_energy=0.00035318943435688397, gpu_energy=0.0017188744306539938, ram_energy=3.1197273395338765e-06, energy_consumed=0.0020751835923504118, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:21:53] EmissionsData(timestamp='2024-10-07T18:21:53', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0022015179856680334, emissions=0.0007660216043713403, emissions_rate=0.34795155404505906, cpu_power=42.5, gpu_power=206.70872584047714, ram_power=0.37569379806518555, cpu_energy=0.00035318943435688397, gpu_energy=0.0017188744306539938, ram_energy=3.1197273395338765e-06, energy_consumed=0.0020751835923504118, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:22:02] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:22:03] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.37569379806518555 W
-[codecarbon DEBUG @ 18:22:03] RAM : 0.38 W during 9.89 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:22:03] Energy consumed for all GPUs : 0.002289 kWh. Total GPU Power : 207.61972369117532 W
-[codecarbon DEBUG @ 18:22:03] GPU : 207.62 W during 9.89 s [measurement time: 0.0023]
-[codecarbon INFO @ 18:22:03] Energy consumed for all CPUs : 0.000470 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:22:03] CPU : 42.50 W during 9.90 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:22:03] 0.002764 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:22:03] last_duration=9.893429509014823
-------------------------
-[codecarbon DEBUG @ 18:22:03] EmissionsData(timestamp='2024-10-07T18:22:03', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.896559398970567, emissions=0.0010201644668895798, emissions_rate=0.00010308274075490282, cpu_power=42.5, gpu_power=207.61972369117532, ram_power=0.37569379806518555, cpu_energy=0.0004700225947360094, gpu_energy=0.002289492109369906, ram_energy=4.1522096041317944e-06, energy_consumed=0.0027636669137100474, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:22:03] EmissionsData(timestamp='2024-10-07T18:22:03', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020323150092735887, emissions=0.0010201644668895798, emissions_rate=0.501971624592891, cpu_power=42.5, gpu_power=207.61972369117532, ram_power=0.37569379806518555, cpu_energy=0.0004700225947360094, gpu_energy=0.002289492109369906, ram_energy=4.1522096041317944e-06, energy_consumed=0.0027636669137100474, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:22:12] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:22:12] Energy consumed for RAM : 0.000005 kWh. RAM Power : 0.3757052421569824 W
-[codecarbon DEBUG @ 18:22:12] RAM : 0.38 W during 9.90 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:22:12] Energy consumed for all GPUs : 0.002861 kWh. Total GPU Power : 207.88392366276997 W
-[codecarbon DEBUG @ 18:22:12] GPU : 207.88 W during 9.90 s [measurement time: 0.0022]
-[codecarbon INFO @ 18:22:12] Energy consumed for all CPUs : 0.000587 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:22:12] CPU : 42.50 W during 9.90 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:22:12] 0.003453 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:22:12] last_duration=9.89903917897027
-------------------------
-[codecarbon DEBUG @ 18:22:12] EmissionsData(timestamp='2024-10-07T18:22:12', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.902114009018987, emissions=0.0012747189467090688, emissions_rate=0.00012873200061603375, cpu_power=42.5, gpu_power=207.88392366276997, ram_power=0.3757052421569824, cpu_energy=0.0005869213376917388, gpu_energy=0.00286115867781378, ram_energy=5.185307526443883e-06, energy_consumed=0.003453265323031963, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:22:12] EmissionsData(timestamp='2024-10-07T18:22:12', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020108750322833657, emissions=0.0012747189467090688, emissions_rate=0.6339125635577735, cpu_power=42.5, gpu_power=207.88392366276997, ram_power=0.3757052421569824, cpu_energy=0.0005869213376917388, gpu_energy=0.00286115867781378, ram_energy=5.185307526443883e-06, energy_consumed=0.003453265323031963, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:22:22] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:22:22] Energy consumed for RAM : 0.000006 kWh. RAM Power : 0.3757052421569824 W
-[codecarbon DEBUG @ 18:22:22] RAM : 0.38 W during 9.89 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:22:22] Energy consumed for all GPUs : 0.003434 kWh. Total GPU Power : 208.51405542338682 W
-[codecarbon DEBUG @ 18:22:22] GPU : 208.51 W during 9.89 s [measurement time: 0.0023]
-[codecarbon INFO @ 18:22:22] Energy consumed for all CPUs : 0.000704 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:22:22] CPU : 42.50 W during 9.89 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:22:22] 0.004144 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:22:22] last_duration=9.886268119036686
-------------------------
-[codecarbon DEBUG @ 18:22:22] EmissionsData(timestamp='2024-10-07T18:22:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.889388080046047, emissions=0.0015295844607083173, emissions_rate=0.0001546692725907461, cpu_power=42.5, gpu_power=208.51405542338682, ram_power=0.3757052421569824, cpu_energy=0.0007036698503492113, gpu_energy=0.0034338194137202294, ram_energy=6.217072491437378e-06, energy_consumed=0.004143706336560879, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:22:22] EmissionsData(timestamp='2024-10-07T18:22:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.002187807986047119, emissions=0.0015295844607083173, emissions_rate=0.6991401761321546, cpu_power=42.5, gpu_power=208.51405542338682, ram_power=0.3757052421569824, cpu_energy=0.0007036698503492113, gpu_energy=0.0034338194137202294, ram_energy=6.217072491437378e-06, energy_consumed=0.004143706336560879, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:22:32] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:22:32] Energy consumed for RAM : 0.000007 kWh. RAM Power : 0.3757052421569824 W
-[codecarbon DEBUG @ 18:22:32] RAM : 0.38 W during 9.90 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:22:32] Energy consumed for all GPUs : 0.004007 kWh. Total GPU Power : 208.5490260850612 W
-[codecarbon DEBUG @ 18:22:32] GPU : 208.55 W during 9.90 s [measurement time: 0.0023]
-[codecarbon INFO @ 18:22:32] Energy consumed for all CPUs : 0.000821 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:22:32] CPU : 42.50 W during 9.90 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:22:32] 0.004835 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:22:32] EmissionsData(timestamp='2024-10-07T18:22:32', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.902371668023989, emissions=0.001784820183482749, emissions_rate=0.0001802416878823241, cpu_power=42.5, gpu_power=208.5490260850612, ram_power=0.3757052421569824, cpu_energy=0.000820571861661463, gpu_energy=0.004007328205859917, ram_energy=7.25019315425267e-06, energy_consumed=0.004835150260675633, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon INFO @ 18:22:32] 0.025781 g.CO2eq/s mean an estimation of 813.0266939692607 kg.CO2eq/year
-[codecarbon DEBUG @ 18:22:32] last_duration=9.899256677017547
-------------------------
-[codecarbon DEBUG @ 18:22:32] EmissionsData(timestamp='2024-10-07T18:22:32', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.902706962020602, emissions=0.001784820183482749, emissions_rate=0.00018023558511101945, cpu_power=42.5, gpu_power=208.5490260850612, ram_power=0.3757052421569824, cpu_energy=0.000820571861661463, gpu_energy=0.004007328205859917, ram_energy=7.25019315425267e-06, energy_consumed=0.004835150260675633, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:22:32] EmissionsData(timestamp='2024-10-07T18:22:32', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.002028496004641056, emissions=0.001784820183482749, emissions_rate=0.8798736499353246, cpu_power=42.5, gpu_power=208.5490260850612, ram_power=0.3757052421569824, cpu_energy=0.000820571861661463, gpu_energy=0.004007328205859917, ram_energy=7.25019315425267e-06, energy_consumed=0.004835150260675633, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:22:42] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:22:42] Energy consumed for RAM : 0.000008 kWh. RAM Power : 0.3757052421569824 W
-[codecarbon DEBUG @ 18:22:42] RAM : 0.38 W during 9.96 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:22:42] Energy consumed for all GPUs : 0.004590 kWh. Total GPU Power : 210.6388452410173 W
-[codecarbon DEBUG @ 18:22:42] GPU : 210.64 W during 9.96 s [measurement time: 0.0060]
-[codecarbon INFO @ 18:22:42] Energy consumed for all CPUs : 0.000938 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:22:42] CPU : 42.50 W during 9.97 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:22:42] 0.005537 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:22:42] last_duration=9.959751877002418
-------------------------
-[codecarbon DEBUG @ 18:22:42] EmissionsData(timestamp='2024-10-07T18:22:42', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.966598905040883, emissions=0.0020437661808493292, emissions_rate=0.0002050615461023156, cpu_power=42.5, gpu_power=210.6388452410173, ram_power=0.3757052421569824, cpu_energy=0.0009382318916048664, gpu_energy=0.004590123949874236, ram_energy=8.289627652096468e-06, energy_consumed=0.005536645469131199, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:22:42] EmissionsData(timestamp='2024-10-07T18:22:42', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020359070040285587, emissions=0.0020437661808493292, emissions_rate=1.0038602828150889, cpu_power=42.5, gpu_power=210.6388452410173, ram_power=0.3757052421569824, cpu_energy=0.0009382318916048664, gpu_energy=0.004590123949874236, ram_energy=8.289627652096468e-06, energy_consumed=0.005536645469131199, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:22:52] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:22:52] Energy consumed for RAM : 0.000009 kWh. RAM Power : 0.3757052421569824 W
-[codecarbon DEBUG @ 18:22:52] RAM : 0.38 W during 9.93 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:22:52] Energy consumed for all GPUs : 0.005169 kWh. Total GPU Power : 209.8860425008778 W
-[codecarbon DEBUG @ 18:22:52] GPU : 209.89 W during 9.93 s [measurement time: 0.0051]
-[codecarbon INFO @ 18:22:52] Energy consumed for all CPUs : 0.001056 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:22:52] CPU : 42.50 W during 9.94 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:22:52] 0.006234 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:22:52] last_duration=9.930053139047232
-------------------------
-[codecarbon DEBUG @ 18:22:52] EmissionsData(timestamp='2024-10-07T18:22:52', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.936000195040833, emissions=0.002301170257465178, emissions_rate=0.00023159925647079973, cpu_power=42.5, gpu_power=209.8860425008778, ram_power=0.3757052421569824, cpu_energy=0.0010555306763887428, gpu_energy=0.005169106913059718, ram_energy=9.325962291769866e-06, energy_consumed=0.00623396355174023, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:22:52] EmissionsData(timestamp='2024-10-07T18:22:52', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.002033527009189129, emissions=0.002301170257465178, emissions_rate=1.1316152906091825, cpu_power=42.5, gpu_power=209.8860425008778, ram_power=0.3757052421569824, cpu_energy=0.0010555306763887428, gpu_energy=0.005169106913059718, ram_energy=9.325962291769866e-06, energy_consumed=0.00623396355174023, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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-[codecarbon WARNING @ 18:23:02] Background scheduler didn't run for a long period (9s), results might be inaccurate
-[codecarbon INFO @ 18:23:02] Energy consumed for RAM : 0.000010 kWh. RAM Power : 0.3757052421569824 W
-[codecarbon DEBUG @ 18:23:02] RAM : 0.38 W during 9.94 s [measurement time: 0.0004]
-[codecarbon INFO @ 18:23:02] Energy consumed for all GPUs : 0.005757 kWh. Total GPU Power : 212.8152305048379 W
-[codecarbon DEBUG @ 18:23:02] GPU : 212.82 W during 9.94 s [measurement time: 0.0025]
-[codecarbon INFO @ 18:23:02] Energy consumed for all CPUs : 0.001173 kWh. Total CPU Power : 42.5 W
-[codecarbon DEBUG @ 18:23:02] CPU : 42.50 W during 9.95 s [measurement time: 0.0000]
-[codecarbon INFO @ 18:23:02] 0.006940 kWh of electricity used since the beginning.
-[codecarbon DEBUG @ 18:23:02] last_duration=9.942501444020309
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+[codecarbon INFO @ 19:39:02] [setup] RAM Tracking...
+[codecarbon INFO @ 19:39:02] [setup] GPU Tracking...
+[codecarbon INFO @ 19:39:02] Tracking Nvidia GPU via pynvml
+[codecarbon DEBUG @ 19:39:02] GPU available. Starting setup
+[codecarbon INFO @ 19:39:02] [setup] CPU Tracking...
+[codecarbon DEBUG @ 19:39:02] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
+[codecarbon DEBUG @ 19:39:02] Not using the RAPL interface, an exception occurred while instantiating IntelRAPL : Intel RAPL files not found at /sys/class/powercap/intel-rapl on linux
+[codecarbon DEBUG @ 19:39:02] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
+[codecarbon WARNING @ 19:39:02] No CPU tracking mode found. Falling back on CPU constant mode.
+[codecarbon WARNING @ 19:39:04] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
+[codecarbon INFO @ 19:39:04] CPU Model on constant consumption mode: AMD EPYC 7R32
+[codecarbon INFO @ 19:39:04] >>> Tracker's metadata:
+[codecarbon INFO @ 19:39:04]   Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+[codecarbon INFO @ 19:39:04]   Python version: 3.9.20
+[codecarbon INFO @ 19:39:04]   CodeCarbon version: 2.5.1
+[codecarbon INFO @ 19:39:04]   Available RAM : 186.705 GB
+[codecarbon INFO @ 19:39:04]   CPU count: 48
+[codecarbon INFO @ 19:39:04]   CPU model: AMD EPYC 7R32
+[codecarbon INFO @ 19:39:04]   GPU count: 1
+[codecarbon INFO @ 19:39:04]   GPU model: 1 x NVIDIA A10G
+[codecarbon DEBUG @ 19:39:05] Not running on AWS
+[codecarbon DEBUG @ 19:39:06] Not running on Azure
+[codecarbon DEBUG @ 19:39:07] Not running on GCP
+[codecarbon INFO @ 19:39:07] Saving emissions data to file /runs/codecarbon.csv
+[codecarbon DEBUG @ 19:39:07] EmissionsData(timestamp='2024-10-07T19:39:07', project_name='codecarbon', run_id='774e7719-f934-4399-b7a4-a1b8217e79d4', duration=0.00223172502592206, emissions=0.0, emissions_rate=0.0, cpu_power=0.0, gpu_power=0.0, ram_power=0.0, cpu_energy=0, gpu_energy=0, ram_energy=0, energy_consumed=0, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+[codecarbon INFO @ 19:39:07] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.2709217071533203 W
+[codecarbon DEBUG @ 19:39:07] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
+[codecarbon INFO @ 19:39:07] Energy consumed for all GPUs : 0.000008 kWh. Total GPU Power : 66.90181316396337 W
+[codecarbon DEBUG @ 19:39:07] GPU : 66.90 W during 0.41 s [measurement time: 0.0022]
+[codecarbon INFO @ 19:39:07] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 19:39:07] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
+[codecarbon INFO @ 19:39:07] 0.000013 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 19:39:07] last_duration=0.40880018495954573
 ------------------------
-[codecarbon DEBUG @ 18:23:02] EmissionsData(timestamp='2024-10-07T18:23:02', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.945818146050442, emissions=0.0025618710062764185, emissions_rate=0.0002575827316221096, cpu_power=42.5, gpu_power=212.8152305048379, ram_power=0.3757052421569824, cpu_energy=0.001172945362461865, gpu_energy=0.005756903494407606, ram_energy=1.036359615408875e-05, energy_consumed=0.00694021245302356, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
-[codecarbon DEBUG @ 18:23:02] EmissionsData(timestamp='2024-10-07T18:23:02', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.00265198404667899, emissions=0.0025618710062764185, emissions_rate=0.9660205194237809, cpu_power=42.5, gpu_power=212.8152305048379, ram_power=0.3757052421569824, cpu_energy=0.001172945362461865, gpu_energy=0.005756903494407606, ram_energy=1.036359615408875e-05, energy_consumed=0.00694021245302356, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+[codecarbon DEBUG @ 19:39:07] EmissionsData(timestamp='2024-10-07T19:39:07', project_name='codecarbon', run_id='774e7719-f934-4399-b7a4-a1b8217e79d4', duration=0.41196551104076207, emissions=4.616095917489861e-06, emissions_rate=1.1205054291627631e-05, cpu_power=42.5, gpu_power=66.90181316396337, ram_power=0.2709217071533203, cpu_energy=4.862197849191338e-06, gpu_energy=7.612228312581237e-06, ram_energy=3.076488509377195e-08, energy_consumed=1.2505191046866349e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
+[codecarbon DEBUG @ 19:39:08] EmissionsData(timestamp='2024-10-07T19:39:08', project_name='codecarbon', run_id='774e7719-f934-4399-b7a4-a1b8217e79d4', duration=0.0061841499991714954, emissions=4.616095917489861e-06, emissions_rate=0.000746439837020171, cpu_power=42.5, gpu_power=66.90181316396337, ram_power=0.2709217071533203, cpu_energy=4.862197849191338e-06, gpu_energy=7.612228312581237e-06, ram_energy=3.076488509377195e-08, energy_consumed=1.2505191046866349e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [517,0,0], thread: [97,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [517,0,0], thread: [98,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [517,0,0], thread: [99,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
@@ -328,6 +205,38 @@
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [93,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [94,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [95,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [64,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [65,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [66,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [67,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [68,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [69,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [70,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [71,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [72,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [73,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [74,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [75,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [76,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [77,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [78,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [79,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [80,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [81,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [82,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [83,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [84,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [85,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [86,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [87,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [88,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [89,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [90,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [91,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [92,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [93,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [94,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [518,0,0], thread: [95,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [96,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [97,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [98,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
@@ -424,38 +333,6 @@
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [61,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [62,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
 /opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [63,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
-/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [515,0,0], thread: [0,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
-/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [515,0,0], thread: [1,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
-/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [515,0,0], thread: [2,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
-/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [515,0,0], thread: [3,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
-/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [515,0,0], thread: [4,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
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@@ -808,70 +653,6 @@
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+
  2%|▏         | 22/1000 [00:00<00:08, 111.81it/s]
 Error executing job with overrides: ['backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest', 'backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest']
 Traceback (most recent call last):
   File "/optimum-benchmark/optimum_benchmark/cli.py", line 65, in benchmark_cli
@@ -959,22 +804,12 @@ Traceback (most recent call last):
     worker_output = worker(*worker_args)
   File "/optimum-benchmark/optimum_benchmark/experiment.py", line 62, in run
     benchmark.run(backend)
-  File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 174, in run
-    self.run_text_generation_energy_tracking(backend)
-  File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 218, in run_text_generation_energy_tracking
-    _ = backend.generate(inputs, self.config.generate_kwargs)
-  File "/opt/conda/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
-    return func(*args, **kwargs)
-  File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 355, in generate
-    return self.pretrained_model.generate(**inputs, **kwargs)
-  File "/opt/conda/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
-    return func(*args, **kwargs)
-  File "/opt/conda/lib/python3.9/site-packages/transformers/generation/utils.py", line 2024, in generate
-    result = self._sample(
-  File "/opt/conda/lib/python3.9/site-packages/transformers/generation/utils.py", line 2971, in _sample
-    while self._has_unfinished_sequences(
-  File "/opt/conda/lib/python3.9/site-packages/transformers/generation/utils.py", line 2208, in _has_unfinished_sequences
-    elif this_peer_finished:
+  File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 178, in run
+    self.run_inference_energy_tracking(backend)
+  File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
+    inputs = backend.prepare_inputs(inputs)
+  File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
+    inputs[key] = value.to(self.config.device)
 RuntimeError: CUDA error: device-side assert triggered
 CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
 For debugging consider passing CUDA_LAUNCH_BLOCKING=1