René's URL Explorer Experiment

    {
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       "headline": "\uc885\ud569\uc801 \ubd84\uc11d\uc744 \uc774\uc6a9\ud55c \ud2b8\ub808\uc774\uc2a4 \ucc28\uc774 \ubd84\uc11d",
       "description": "PyTorch Documentation. Explore PyTorch, an open-source machine learning library that accelerates the path from research prototyping to production deployment. Discover tutorials, API references, and guides to help you build and deploy deep learning models efficiently.",
       "url": "/beginner/hta_trace_diff_tutorial.html",
       "articleBody": "\uc885\ud569\uc801 \ubd84\uc11d\uc744 \uc774\uc6a9\ud55c \ud2b8\ub808\uc774\uc2a4 \ucc28\uc774 \ubd84\uc11d# \uc800\uc790: Anupam Bhatnagar \ubc88\uc5ed: \uc774\uc9c4\ud601 \u003chttps://github.com/uddk6215\u003e__ \ub54c\ub54c\ub85c \uc0ac\uc6a9\uc790\ub4e4\uc740 \ucf54\ub4dc \ubcc0\uacbd\uc73c\ub85c \uc778\ud55c PyTorch \uc5f0\uc0b0\uc790\uc640 CUDA \ucee4\ub110\uc758 \ubcc0\ud654\ub97c \uc2dd\ubcc4\ud574\uc57c \ud560 \ud544\uc694\uac00 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 HTA\ub294 \ud2b8\ub808\uc774\uc2a4 \ube44\uad50 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uae30\ub2a5\uc744 \ud1b5\ud574 \uc0ac\uc6a9\uc790\ub294 \ub450 \uc138\ud2b8\uc758 \ud2b8\ub808\uc774\uc2a4 \ud30c\uc77c\uc744 \uc785\ub825\ud560 \uc218 \uc788\ub294\ub370, A/B \ud14c\uc2a4\ud2b8\uc640 \uc720\uc0ac\ud558\uac8c, \uccab \ubc88\uc9f8 \uc138\ud2b8\ub294 \ub300\uc870\uad70\uc73c\ub85c, \ub450 \ubc88\uc9f8 \uc138\ud2b8\ub294 \uc2e4\ud5d8\uad70\uc73c\ub85c \uac04\uc8fc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. TraceDiff \ud074\ub798\uc2a4\ub294 \ud2b8\ub808\uc774\uc2a4 \uac04\uc758 \ucc28\uc774\ub97c \ube44\uad50\ud558\uace0 \uc774\ub7ec\ud55c \ucc28\uc774\ub97c \uc2dc\uac01\ud654\ud558\ub294 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \ud2b9\ud788, \uc0ac\uc6a9\uc790\ub294 \uac01 \uadf8\ub8f9\uc5d0\uc11c \ucd94\uac00\ub418\uac70\ub098 \uc81c\uac70\ub41c \uc5f0\uc0b0\uc790\uc640 \ucee4\ub110\uc744 \ucc3e\uc744 \uc218 \uc788\uc73c\uba70, \uac01 \uc5f0\uc0b0\uc790/\ucee4\ub110\uc758 \ube48\ub3c4\uc640 \ub204\uc801 \uc18c\uc694 \uc2dc\uac04\ub3c4 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. TraceDiff \ud074\ub798\uc2a4\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uba54\uc18c\ub4dc\ub97c \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. TraceDiff \ud074\ub798\uc2a4\uc758 \uba54\uc18c\ub4dc: compare_traces: \ub450 \uc138\ud2b8\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\uc11c CPU \uc5f0\uc0b0\uc790\uc640 GPU \ucee4\ub110\uc758 \ube48\ub3c4\uc640 \ucd1d \uc9c0\uc18d \uc2dc\uac04\uc744 \ube44\uad50\ud569\ub2c8\ub2e4. ops_diff: \ub2e4\uc74c\uacfc \uac19\uc740 \uc0c1\ud0dc\uc758 \uc5f0\uc0b0\uc790\uc640 \ucee4\ub110\uc744 \uac00\uc838\uc635\ub2c8\ub2e4. \uc0c1\ud0dc \uc608\uc2dc: \ucd94\uac00: \uc2e4\ud5d8\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\ub294 \ucd94\uac00\ub418\uc5c8\uace0 \ub300\uc870\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\ub294 \uc5c6\ub294 \uac83 \uc0ad\uc81c: \uc2e4\ud5d8\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\uc11c \uc0ad\uc81c\ub418\uace0 \ub300\uc870\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\ub294 \uc788\ub294 \uac83 \uc99d\uac00: \uc2e4\ud5d8\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\uc11c \ube48\ub3c4\uac00 \uc99d\uac00\ud558\uace0 \ub300\uc870\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\ub3c4 \uc874\uc7ac\ud558\ub294 \uac83 \uac10\uc18c: \uc2e4\ud5d8\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\uc11c \ube48\ub3c4\uac00 \uac10\uc18c\ud558\uace0 \ub300\uc870\uad70\uc758 \ud2b8\ub808\uc774\uc2a4\uc5d0\ub3c4 \uc874\uc7ac\ud558\ub294 \uac83 \ubcc0\uacbd \uc548 \ub428: \ub450 \uc138\ud2b8\uc758 \ud2b8\ub808\uc774\uc2a4 \uac04\uc5d0 \ubcc0\ud654\uac00 \uc5c6\ub294 \uac83 visualize_counts_diff visualize_duration_diff \ub9c8\uc9c0\ub9c9 \ub450 \uba54\uc18c\ub4dc\ub294 compare_traces \uba54\uc18c\ub4dc\uc758 \ucd9c\ub825\uc744 \uc0ac\uc6a9\ud558\uc5ec CPU \uc5f0\uc0b0\uc790\uc640 GPU \ucee4\ub110\uc758 \ube48\ub3c4 \ubc0f \uc9c0\uc18d \uc2dc\uac04\uc758 \ub2e4\uc591\ud55c \ubcc0\ud654\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ube48\ub3c4\uac00 \uc99d\uac00\ud55c \uc0c1\uc704 10\uac1c\uc758 \uc5f0\uc0b0\uc790\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df = compare_traces_output.sort_values(by=\"diff_counts\", ascending=False).head(10) TraceDiff.visualize_counts_diff(df) \ub9c8\ucc2c\uac00\uc9c0\ub85c, \uc9c0\uc18d \uc2dc\uac04 \ubcc0\ud654\uac00 \uac00\uc7a5 \ud070 \uc0c1\uc704 10\uac1c \uc5f0\uc0b0\uc790\ub294 \ub2e4\uc74c\uacfc \uac19\uc774 \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df = compare_traces_output.sort_values(by=\"diff_duration\", ascending=False) # \"ProfilerStep\"\uc5d0 \uc758\ud574 \uc9c0\uc18d \uc2dc\uac04 \ucc28\uc774\uac00 \uac00\ub824\uc9c8 \uc218 \uc788\uc73c\ubbc0\ub85c, # \uc774\ub97c \ud544\ud130\ub9c1\ud558\uc5ec \ub2e4\ub978 \uc5f0\uc0b0\uc790\ub4e4\uc758 \uacbd\ud5a5\uc744 \ubcf4\uc5ec\uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df = df.loc[~df.index.str.startswith(\"ProfilerStep\")].head(10) TraceDiff.visualize_duration_diff(df) \uc774 \uae30\ub2a5\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc608\uc2dc\ub294 \uc800\uc7a5\uc18c\uc758 examples \ud3f4\ub354\uc5d0 \uc788\ub294 trace_diff_demo notebook \uc744 \ubcf4\uba74 \ub429\ub2c8\ub2e4.",
       "author": {
         "@type": "Organization",
         "name": "PyTorch Contributors",
         "url": "https://pytorch.org"
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         "@id": "/beginner/hta_trace_diff_tutorial.html"
       },
       "datePublished": "2023-01-01T00:00:00Z",
       "dateModified": "2023-01-01T00:00:00Z"
     }