ata-assn2.log

[{"stream_name":"stderr","time":12.503069097000001,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":12.503123843000001,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":12.503130077,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":12.503134422,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stderr","time":13.325844666,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":13.325905664,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":13.325912726,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":13.325916034,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stdout","time":19.007145055,"data":"\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/5.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━\u001b[0m \u001b[32m4.5/5.3 MB\u001b[0m \u001b[31m135.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m5.3/5.3 MB\u001b[0m \u001b[31m132.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.3/5.3 MB\u001b[0m \u001b[31m74.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n"}
,{"stream_name":"stdout","time":24.635145183,"data":"\u001b[?25hRequirement already satisfied: matplotlib in /usr/local/lib/python3.12/dist-packages (3.10.0)\r\n"}
,{"stream_name":"stdout","time":24.635193753,"data":"Requirement already satisfied: contourpy\u003e=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.3.3)\r\n"}
,{"stream_name":"stdout","time":24.635200754,"data":"Requirement already satisfied: cycler\u003e=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (0.12.1)\r\n"}
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,{"stream_name":"stdout","time":24.635210654,"data":"Requirement already satisfied: kiwisolver\u003e=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.4.9)\r\n"}
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,{"stream_name":"stdout","time":24.686174664,"data":"Requirement already satisfied: six\u003e=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil\u003e=2.7-\u003ematplotlib) (1.17.0)\r\n"}
,{"stream_name":"stdout","time":27.911216289,"data":"Collecting sacrebleu\r\n"}
,{"stream_name":"stdout","time":27.911253848,"data":"  Downloading sacrebleu-2.6.0-py3-none-any.whl.metadata (39 kB)\r\n"}
,{"stream_name":"stdout","time":28.012733026,"data":"Collecting portalocker (from sacrebleu)\r\n"}
,{"stream_name":"stdout","time":28.012774894,"data":"  Downloading portalocker-3.2.0-py3-none-any.whl.metadata (8.7 kB)\r\n"}
,{"stream_name":"stdout","time":28.012780567,"data":"Requirement already satisfied: regex in /usr/local/lib/python3.12/dist-packages (from sacrebleu) (2025.11.3)\r\n"}
,{"stream_name":"stdout","time":28.0127846,"data":"Requirement already satisfied: tabulate\u003e=0.8.9 in /usr/local/lib/python3.12/dist-packages (from sacrebleu) (0.9.0)\r\n"}
,{"stream_name":"stdout","time":28.012789128,"data":"Requirement already satisfied: numpy\u003e=1.17 in /usr/local/lib/python3.12/dist-packages (from sacrebleu) (2.0.2)\r\n"}
,{"stream_name":"stdout","time":28.012793022,"data":"Requirement already satisfied: colorama in /usr/local/lib/python3.12/dist-packages (from sacrebleu) (0.4.6)\r\n"}
,{"stream_name":"stdout","time":28.012796902,"data":"Requirement already satisfied: lxml in /usr/local/lib/python3.12/dist-packages (from sacrebleu) (5.4.0)\r\n"}
,{"stream_name":"stdout","time":28.063537409,"data":"Downloading sacrebleu-2.6.0-py3-none-any.whl (100 kB)\r\n"}
,{"stream_name":"stdout","time":28.063573927,"data":"\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/100.8 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m100.8/100.8 kB\u001b[0m \u001b[31m5.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n"}
,{"stream_name":"stdout","time":28.063588984,"data":"\u001b[?25hDownloading portalocker-3.2.0-py3-none-any.whl (22 kB)\r\n"}
,{"stream_name":"stdout","time":29.992514418,"data":"Installing collected packages: portalocker, sacrebleu\r\n"}
,{"stream_name":"stdout","time":30.094527442,"data":"Successfully installed portalocker-3.2.0 sacrebleu-2.6.0\r\n"}
,{"stream_name":"stdout","time":31.330002144,"data":"Requirement already satisfied: tokenizers in /usr/local/lib/python3.12/dist-packages (0.22.1)\r\n"}
,{"stream_name":"stdout","time":31.330049268,"data":"Requirement already satisfied: huggingface-hub\u003c2.0,\u003e=0.16.4 in /usr/local/lib/python3.12/dist-packages (from tokenizers) (0.36.0)\r\n"}
,{"stream_name":"stdout","time":31.381060596,"data":"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (3.20.3)\r\n"}
,{"stream_name":"stdout","time":31.381110218,"data":"Requirement already satisfied: fsspec\u003e=2023.5.0 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (2025.10.0)\r\n"}
,{"stream_name":"stdout","time":31.381118281,"data":"Requirement already satisfied: packaging\u003e=20.9 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (26.0rc2)\r\n"}
,{"stream_name":"stdout","time":31.381124633,"data":"Requirement already satisfied: pyyaml\u003e=5.1 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (6.0.3)\r\n"}
,{"stream_name":"stdout","time":31.381144669,"data":"Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (2.32.5)\r\n"}
,{"stream_name":"stdout","time":31.381149268,"data":"Requirement already satisfied: tqdm\u003e=4.42.1 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (4.67.1)\r\n"}
,{"stream_name":"stdout","time":31.381153201,"data":"Requirement already satisfied: typing-extensions\u003e=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (4.15.0)\r\n"}
,{"stream_name":"stdout","time":31.381157528,"data":"Requirement already satisfied: hf-xet\u003c2.0.0,\u003e=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (1.2.1rc0)\r\n"}
,{"stream_name":"stdout","time":31.431672492,"data":"Requirement already satisfied: charset_normalizer\u003c4,\u003e=2 in /usr/local/lib/python3.12/dist-packages (from requests-\u003ehuggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (3.4.4)\r\n"}
,{"stream_name":"stdout","time":31.431728741,"data":"Requirement already satisfied: idna\u003c4,\u003e=2.5 in /usr/local/lib/python3.12/dist-packages (from requests-\u003ehuggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (3.11)\r\n"}
,{"stream_name":"stdout","time":31.431737086,"data":"Requirement already satisfied: urllib3\u003c3,\u003e=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests-\u003ehuggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (2.6.3)\r\n"}
,{"stream_name":"stdout","time":31.43174172,"data":"Requirement already satisfied: certifi\u003e=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests-\u003ehuggingface-hub\u003c2.0,\u003e=0.16.4-\u003etokenizers) (2026.1.4)\r\n"}
,{"stream_name":"stderr","time":39.132625367,"data":"2026-02-11 08:30:48.364492: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n"}
,{"stream_name":"stderr","time":39.133173058,"data":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n"}
,{"stream_name":"stderr","time":39.133203068,"data":"E0000 00:00:1770798648.710109      24 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n"}
,{"stream_name":"stderr","time":39.133209554,"data":"E0000 00:00:1770798648.813717      24 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"}
,{"stream_name":"stderr","time":39.133215078,"data":"W0000 00:00:1770798649.646375      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.133219965,"data":"W0000 00:00:1770798649.646421      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.13322454,"data":"W0000 00:00:1770798649.646424      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.133229549,"data":"W0000 00:00:1770798649.646427      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336307763,"data":"2026-02-11 08:30:48.364492: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n"}
,{"stream_name":"stderr","time":39.336358228,"data":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n"}
,{"stream_name":"stderr","time":39.33636577,"data":"E0000 00:00:1770798648.710109      24 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n"}
,{"stream_name":"stderr","time":39.336369918,"data":"E0000 00:00:1770798648.813717      24 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"}
,{"stream_name":"stderr","time":39.336375108,"data":"W0000 00:00:1770798649.646375      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336379569,"data":"W0000 00:00:1770798649.646421      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336384397,"data":"W0000 00:00:1770798649.646424      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336388575,"data":"W0000 00:00:1770798649.646427      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336392593,"data":"\n"}
,{"stream_name":"stderr","time":39.33639653,"data":"2026-02-11 08:30:48.364492: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n"}
,{"stream_name":"stderr","time":39.336400277,"data":"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n"}
,{"stream_name":"stderr","time":39.336403573,"data":"E0000 00:00:1770798648.710109      24 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n"}
,{"stream_name":"stderr","time":39.336406827,"data":"E0000 00:00:1770798648.813717      24 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"}
,{"stream_name":"stderr","time":39.336411664,"data":"W0000 00:00:1770798649.646375      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336415383,"data":"W0000 00:00:1770798649.646421      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336418906,"data":"W0000 00:00:1770798649.646424      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stderr","time":39.336423191,"data":"W0000 00:00:1770798649.646427      24 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"}
,{"stream_name":"stdout","time":58.354097193,"data":"⚠️  GPU Tesla P100-PCIE-16GB (compute capability 6.0) does not support native bf16. Enabling mixed_float16 (with loss scaling) instead.\n"}
,{"stream_name":"stdout","time":58.354157086,"data":"Global dtype policy: compute=float16, variable=float32\n"}
,{"stream_name":"stderr","time":58.517580895,"data":"WARNING:absl:Using custom data configuration: WmtConfig(name='zh-en', version='1.0.0', release_notes=None, supported_versions=[], description=None, tags=[])\n"}
,{"stream_name":"stderr","time":58.517633048,"data":"\n"}
,{"stream_name":"stderr","time":58.517638621,"data":"WARNING:absl:Using custom data configuration: WmtConfig(name='zh-en', version='1.0.0', release_notes=None, supported_versions=[], description=None, tags=[])\n"}
,{"stream_name":"stdout","time":58.56150381,"data":"Downloading and preparing dataset Unknown size (download: Unknown size, generated: Unknown size, total: Unknown size) to /root/tensorflow_datasets/wmt_translate/zh-en/1.0.0...\n"}
,{"stream_name":"stderr","time":61.701233105,"data":"WARNING:absl:Skipping line 9877 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.701281187,"data":"\n"}
,{"stream_name":"stderr","time":61.701286926,"data":"WARNING:absl:Skipping line 9877 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.702313091,"data":"WARNING:absl:Skipping line 9879 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.702351376,"data":"\n"}
,{"stream_name":"stderr","time":61.702356003,"data":"WARNING:absl:Skipping line 9879 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.703414463,"data":"WARNING:absl:Skipping line 9885 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.703434817,"data":"\n"}
,{"stream_name":"stderr","time":61.704397826,"data":"WARNING:absl:Skipping line 9885 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.704536064,"data":"WARNING:absl:Skipping line 9895 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.704544865,"data":"\n"}
,{"stream_name":"stderr","time":61.704548524,"data":"WARNING:absl:Skipping line 9895 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.705498145,"data":"WARNING:absl:Skipping line 9897 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.705517183,"data":"\n"}
,{"stream_name":"stderr","time":61.705904163,"data":"WARNING:absl:Skipping line 9897 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.70671819,"data":"WARNING:absl:Skipping line 9899 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.706729695,"data":"\n"}
,{"stream_name":"stderr","time":61.706745968,"data":"WARNING:absl:Skipping line 9899 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.707556342,"data":"WARNING:absl:Skipping line 9901 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":61.707572082,"data":"\n"}
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,{"stream_name":"stderr","time":73.703271712,"data":"WARNING:absl:Skipping line 301852 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":73.703294509,"data":"\n"}
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,{"stream_name":"stderr","time":73.704056291,"data":"WARNING:absl:Skipping line 301855 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
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,{"stream_name":"stderr","time":73.704845868,"data":"WARNING:absl:Skipping line 301871 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
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,{"stream_name":"stderr","time":74.398291008,"data":"WARNING:absl:Skipping line 318976 in TSV (/root/tensorflow_datasets/downloads/extracted/GZIP.data.stat.org_news-comm_v14_trai_news-comm-_JzD8orWKHLY7s4d_7EUj5crr2YhvIe6BJo64Kq0Als.gz) with 3 != 2 columns.\n"}
,{"stream_name":"stderr","time":74.398333828,"data":"\n"}
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,{"stream_name":"stderr","time":107.265147293,"data":"I0000 00:00:1770798717.837127      24 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 15511 MB memory:  -\u003e device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0\n"}
,{"stream_name":"stdout","time":107.319530196,"data":"Dataset wmt_translate downloaded and prepared to /root/tensorflow_datasets/wmt_translate/zh-en/1.0.0. Subsequent calls will reuse this data.\n"}
,{"stream_name":"stderr","time":107.474034372,"data":"I0000 00:00:1770798717.837127      24 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 15511 MB memory:  -\u003e device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0\n"}
,{"stream_name":"stderr","time":107.47409761,"data":"\n"}
,{"stream_name":"stderr","time":107.474103931,"data":"I0000 00:00:1770798717.837127      24 gpu_device.cc:2019] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 15511 MB memory:  -\u003e device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:00:04.0, compute capability: 6.0\n"}
,{"stream_name":"stdout","time":363.789245048,"data":"Training examples: 1,077,004\n"}
,{"stream_name":"stdout","time":363.789340414,"data":"Validation examples: 5,982\n"}
,{"stream_name":"stdout","time":388.468386023,"data":"\rZH training: processing batch 0...\rZH training: processing batch 10...\rZH training: processing batch 20...\rZH training: processing batch 30...\rZH training: processing batch 40...\rZH training: processing batch 50...\rZH training: processing batch 60...\rZH training: processing batch 70...\rZH training: processing batch 80...\rZH training: processing batch 90...\rZH training: processing batch 100...\rZH training: processing batch 110...\rZH training: processing batch 120...\rZH training: processing batch 130...\rZH training: processing batch 140...\rZH training: processing batch 150...\rZH training: processing batch 160...\rZH training: processing batch 170...\rZH training: processing batch 180...\rZH training: processing batch 190...\rZH training: processing batch 200...\rZH training: processing batch 210...\rZH training: processing batch 220...\rZH training: processing batch 230...\rZH training: processing batch 240...\rZH training: processing batch 250...\rZH training: processing batch 260...\rZH training: processing batch 270...\rZH training: processing batch 280...\rZH training: processing batch 290...\rZH training: processing batch 300...\rZH training: processing batch 310...\rZH training: processing batch 320...\rZH training: processing batch 330...\rZH training: processing batch 340...\rZH training: processing batch 350...\rZH training: processing batch 360...\rZH training: processing batch 370...\rZH training: processing batch 380...\rZH training: processing batch 390...\rZH training: processing batch 400...\rZH training: processing batch 410...\rZH training: processing batch 420...\rZH training: processing batch 430...\rZH training: processing batch 440...\rZH training: processing batch 450...\rZH training: processing batch 460...\rZH training: processing batch 470...\rZH training: processing batch 480...\rZH training: processing batch 490...\rZH training: processing batch 500...\rZH training: processing batch 510...\rZH training: processing batch 520...\rZH training: processing batch 530...\n"}
,{"stream_name":"stdout","time":388.676325502,"data":"\n"}
,{"stream_name":"stdout","time":390.331107788,"data":"\n"}
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,{"stream_name":"stdout","time":401.096057007,"data":"\n"}
,{"stream_name":"stdout","time":401.096107249,"data":"ZH training complete.\n"}
,{"stream_name":"stdout","time":424.138773672,"data":"\rEN training: processing batch 0...\rEN training: processing batch 10...\rEN training: processing batch 20...\rEN training: processing batch 30...\rEN training: processing batch 40...\rEN training: processing batch 50...\rEN training: processing batch 60...\rEN training: processing batch 70...\rEN training: processing batch 80...\rEN training: processing batch 90...\rEN training: processing batch 100...\rEN training: processing batch 110...\rEN training: processing batch 120...\rEN training: processing batch 130...\rEN training: processing batch 140...\rEN training: processing batch 150...\rEN training: processing batch 160...\rEN training: processing batch 170...\rEN training: processing batch 180...\rEN training: processing batch 190...\rEN training: processing batch 200...\rEN training: processing batch 210...\rEN training: processing batch 220...\rEN training: processing batch 230...\rEN training: processing batch 240...\rEN training: processing batch 250...\rEN training: processing batch 260...\rEN training: processing batch 270...\rEN training: processing batch 280...\rEN training: processing batch 290...\rEN training: processing batch 300...\rEN training: processing batch 310...\rEN training: processing batch 320...\rEN training: processing batch 330...\rEN training: processing batch 340...\rEN training: processing batch 350...\rEN training: processing batch 360...\rEN training: processing batch 370...\rEN training: processing batch 380...\rEN training: processing batch 390...\rEN training: processing batch 400...\rEN training: processing batch 410...\rEN training: processing batch 420...\rEN training: processing batch 430...\rEN training: processing batch 440...\rEN training: processing batch 450...\rEN training: processing batch 460...\rEN training: processing batch 470...\rEN training: processing batch 480...\rEN training: processing batch 490...\rEN training: processing batch 500...\rEN training: processing batch 510...\rEN training: processing batch 520...\rEN training: processing batch 530...\n"}
,{"stream_name":"stdout","time":424.345369199,"data":"\n"}
,{"stream_name":"stdout","time":431.058142758,"data":"\n"}
,{"stream_name":"stdout","time":431.33530043,"data":"\n"}
,{"stream_name":"stdout","time":477.993816289,"data":"\n"}
,{"stream_name":"stdout","time":478.228019055,"data":"\n"}
,{"stream_name":"stdout","time":478.971444693,"data":"\n"}
,{"stream_name":"stdout","time":478.971498216,"data":"EN training complete.\n"}
,{"stream_name":"stdout","time":479.116973179,"data":"\n"}
,{"stream_name":"stdout","time":479.117007798,"data":"--- Testing English ---\n"}
,{"stream_name":"stdout","time":479.117013534,"data":"Input:    \"Transformer is awesome.\"\n"}
,{"stream_name":"stdout","time":479.117018585,"data":"Tokens:   ['[SOS]', 'Trans', 'for', 'mer', 'Ġis', 'Ġaw', 'es', 'ome', '.', '[EOS]']\n"}
,{"stream_name":"stdout","time":479.117036482,"data":"IDs:      [2, 5908, 8637, 884, 8789, 6616, 234, 3238, 17, 3]\n"}
,{"stream_name":"stdout","time":479.117041104,"data":"Full:     \"[SOS]Transformer is awesome.[EOS]\"\n"}
,{"stream_name":"stdout","time":479.117045734,"data":"Clean:    \"Transformer is awesome.\"\n"}
,{"stream_name":"stdout","time":479.117050488,"data":"English Verified Successfully!\n"}
,{"stream_name":"stdout","time":479.117054854,"data":"\n"}
,{"stream_name":"stdout","time":479.117059137,"data":"--- Testing Chinese ---\n"}
,{"stream_name":"stdout","time":479.117063527,"data":"Input:    \"机器学习很有趣。\"\n"}
,{"stream_name":"stdout","time":479.117068925,"data":"Tokens:   ['[SOS]', 'æľº', 'åĻ¨', 'åѦ', 'ä¹', 'ł', 'å¾', 'Ī', 'æľī', 'è¶', '£', 'ãĢ', 'Ĥ', '[EOS]']\n"}
,{"stream_name":"stdout","time":479.117074314,"data":"IDs:      [2, 1648, 2469, 785, 522, 195, 330, 171, 2971, 657, 95, 6123, 165, 3]\n"}
,{"stream_name":"stdout","time":479.117079173,"data":"Full:     \"[SOS]机器学习很有趣。[EOS]\"\n"}
,{"stream_name":"stdout","time":479.117084637,"data":"Clean:    \"机器学习很有趣。\"\n"}
,{"stream_name":"stdout","time":479.117089543,"data":"Chinese Verified Successfully!\n"}
,{"stream_name":"stdout","time":479.327679458,"data":"ZH Vocab Size: 16384\n"}
,{"stream_name":"stdout","time":479.327731853,"data":"EN Vocab Size: 16384\n"}
,{"stream_name":"stdout","time":522.532577264,"data":"Positional Encoding Shape: (1, 10000, 512)\n"}
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,{"stream_name":"stdout","time":525.447484443,"data":"Padding Mask Output:\n"}
,{"stream_name":"stdout","time":525.80334359,"data":"Future Mask Output:\n"}
,{"stream_name":"stdout","time":527.734741294,"data":"Attention weights are:\n"}
,{"stream_name":"stdout","time":527.734784627,"data":"tf.Tensor([[0. 1. 0. 0.]], shape=(1, 4), dtype=float32)\n"}
,{"stream_name":"stdout","time":527.734792557,"data":"Output is:\n"}
,{"stream_name":"stdout","time":527.734798062,"data":"tf.Tensor([[10.  0.]], shape=(1, 2), dtype=float32)\n"}
,{"stream_name":"stdout","time":527.8285344,"data":"Attention weights are:\n"}
,{"stream_name":"stdout","time":527.828576461,"data":"tf.Tensor([[0.  0.  0.5 0.5]], shape=(1, 4), dtype=float32)\n"}
,{"stream_name":"stdout","time":527.828581611,"data":"Output is:\n"}
,{"stream_name":"stdout","time":527.828585429,"data":"tf.Tensor([[550.    5.5]], shape=(1, 2), dtype=float32)\n"}
,{"stream_name":"stdout","time":527.914078377,"data":"Attention weights are:\n"}
,{"stream_name":"stdout","time":527.914120906,"data":"tf.Tensor([[0.5 0.5 0.  0. ]], shape=(1, 4), dtype=float32)\n"}
,{"stream_name":"stdout","time":527.914129206,"data":"Output is:\n"}
,{"stream_name":"stdout","time":527.91413276,"data":"tf.Tensor([[5.5 0. ]], shape=(1, 2), dtype=float32)\n"}
,{"stream_name":"stdout","time":528.110204507,"data":"Attention weights are:\n"}
,{"stream_name":"stdout","time":528.110253453,"data":"tf.Tensor(\n"}
,{"stream_name":"stdout","time":528.11026027,"data":"[[0.  0.  0.5 0.5]\n"}
,{"stream_name":"stdout","time":528.110267013,"data":" [0.  1.  0.  0. ]\n"}
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,{"stream_name":"stdout","time":528.110277045,"data":"Output is:\n"}
,{"stream_name":"stdout","time":528.110282398,"data":"tf.Tensor(\n"}
,{"stream_name":"stdout","time":528.110287561,"data":"[[550.    5.5]\n"}
,{"stream_name":"stdout","time":528.11029208,"data":" [ 10.    0. ]\n"}
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,{"stream_name":"stdout","time":37724.778001261,"data":"Saving checkpoint for epoch 5 at /kaggle/working/checkpoints/train/ckpt-1\n"}
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,{"stream_name":"stdout","time":37724.778044343,"data":"Time taken for 1 epoch: 7312.8089463710785 secs\n"}
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