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\u043a\u0430\u043a \u043e\u0433\u043e\u043d\u044c \u0432 \u043d\u043e\u0447\u0438,\n\u0421\u0432\u0435\u0442, \u0447\u0442\u043e \u0432\u0441\u0435\u0433\u0434\u0430 \u0443\u043a\u0430\u0436\u0435\u0442 \u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435.\n\u0421\u043c\u0435\u043b\u043e \u0448\u0430\u0433\u0430\u0439, \u0438 \u043d\u0430\u0434\u0435\u0436\u0434\u0430 \u0436\u0438\u0432\u0430,\n\u0411\u0443\u0434\u0435\u0442 \u0442\u043e\u0431\u043e\u0439 \u0437\u0430\u0436\u0436\u0451\u043d \u043d\u043e\u0432\u044b\u0439 \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0442\u044c, \u043c\u0435\u0447\u0442\u0430\u0442\u044c, \u0432\u0441\u0435\u0439 \u0434\u0443\u0448\u043e\u0439 \u0437\u043e\u0432\u0451\u0442,\n\u041f\u043e\u0434 \u043d\u0435\u0431\u0435\u0441\u043d\u044b\u0439 \u0441\u0432\u043e\u0434, \u0442\u0430\u043c, \u0433\u0434\u0435 \u0436\u0434\u0451\u0442 \u0441\u0432\u043e\u0431\u043e\u0434\u0430.\n\u0418 \u043e\u0441\u0442\u0430\u043d\u0435\u0442\u0441\u044f \u0432 \u0441\u0435\u0440\u0434\u0446\u0435 \u0441\u043b\u0435\u0434,\n\u041a\u0430\u043a \u043d\u0430\u043f\u043e\u043c\u0438\u043d\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043c\u0438\u0440 \u043e\u0442\u043a\u0440\u044b\u0442 \u0434\u043b\u044f \u043d\u0430\u0441.\n\n\u041a\u0443\u043f\u043b\u0435\u0442 2:\n\u0427\u0435\u0440\u0435\u0437 \u0442\u0435\u0440\u043d\u0438\u0438, \u0443\u0441\u0442\u0430\u043b\u043e\u0441\u0442\u044c \u0438 \u0431\u043e\u043b\u044c,\n\u041a\u0430\u0436\u0434\u044b\u0439 \u0448\u0430\u0433 \u0442\u0432\u043e\u0439 \u2014 \u043a \u0434\u0430\u043b\u0451\u043a\u043e\u0439 \u043c\u0435\u0447\u0442\u0435.\n\u041d\u0435 \u0443\u0433\u0430\u0441\u0430\u0439, \u0432\u0435\u0434\u044c \u043e\u0433\u043e\u043d\u044c \u0432 \u0442\u0435\u0431\u0435 \u0436\u0438\u0432,\n\u0427\u0443\u0434\u0435\u0441\u0430 \u0436\u0434\u0443\u0442 \u0442\u0435\u0445, \u043a\u0442\u043e \u0432\u0435\u0440\u0438\u0442 \u0438 \u0438\u0434\u0451\u0442.\n\n\u0421\u043a\u0432\u043e\u0437\u044c \u0441\u043e\u043c\u043d\u0435\u043d\u0438\u044f, \u0432 \u0442\u0443\u043c\u0430\u043d\u0435 \u0443\u0442\u0440\u0430,\n\u0427\u0443\u0432\u0441\u0442\u0432\u043e \u0442\u0440\u0435\u0432\u043e\u0436\u043d\u043e\u0435 \u2014 \u0441\u0442\u0440\u0430\u0445 \u043f\u0435\u0440\u0435\u0434 \u043f\u0430\u0434\u0435\u043d\u044c\u0435\u043c.\n\u041d\u043e \u0442\u044b \u043f\u043e\u043c\u043d\u0438\u0448\u044c, \u043a\u0430\u043a \u043f\u0442\u0438\u0446\u044b \u0432\u0437\u043b\u0435\u0442\u0430\u044e\u0442 \u0432\u0432\u044b\u0441\u044c,\n\u0418 \u0442\u044b \u0442\u043e\u0436\u0435 \u043c\u043e\u0436\u0435\u0448\u044c \u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0441\u0432\u043e\u0438 \u0433\u043d\u0451\u0437\u0434\u0430.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0442\u044c, \u043c\u0435\u0447\u0442\u0430\u0442\u044c, \u043f\u0443\u0441\u0442\u044c \u0436\u0438\u0432\u0451\u0442 \u0434\u0443\u0448\u043e\u0439,\n\u0412 \u043a\u0430\u0436\u0434\u043e\u043c \u0443\u0442\u0440\u0435 \u043d\u043e\u0432\u043e\u043c \u2014 \u0437\u043e\u0432 \u0431\u0443\u0434\u0443\u0449\u0435\u0433\u043e.\n\u0418 \u043e\u0441\u0442\u0430\u043d\u0435\u0442\u0441\u044f \u0432 \u0441\u0435\u0440\u0434\u0446\u0435 \u0441\u043b\u0435\u0434,\n\u042d\u0442\u043e \u0434\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u043e, \u0447\u0442\u043e \u0432\u0441\u0451 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e \u0434\u043b\u044f \u043d\u0430\u0441.\n\n\u0411\u0440\u0438\u0434\u0436:\n\u0418 \u0432 \u043a\u0430\u0436\u0434\u043e\u043c \u0441\u0435\u0440\u0434\u0446\u0435 \u0441\u043f\u0440\u044f\u0442\u0430\u043d \u043a\u043b\u044e\u0447,\n\u041e\u0442\u043a\u0440\u043e\u0439 \u0438\u043c \u0445\u0440\u0430\u043c \u0441\u0432\u043e\u0438\u0445 \u0436\u0435\u043b\u0430\u043d\u0438\u0439.\n\u0412\u0435\u0434\u044c \u043c\u0435\u0447\u0442\u0430 \u2014 \u044d\u0442\u043e \u043a\u0440\u044b\u043b\u044c\u044f \u0434\u0443\u0448\u0438,\n\u041d\u0430\u0441 \u043f\u043e\u0434\u043d\u0438\u043c\u0443\u0442 \u0438 \u043f\u0440\u043e\u043d\u0435\u0441\u0443\u0442 \u0441\u043a\u0432\u043e\u0437\u044c \u043e\u0431\u043b\u0430\u043a\u0430.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0442\u044c, \u043c\u0435\u0447\u0442\u0430\u0442\u044c, \u0432\u043e\u043f\u0440\u0435\u043a\u0438 \u0432\u0441\u0435\u043c\u0443,\n\u0427\u0435\u0440\u0435\u0437 \u043d\u0435\u0432\u0437\u0433\u043e\u0434\u044b, \u043c\u0440\u0430\u043a \u0438 \u0431\u0443\u0440\u0438.\n\u0412 \u0441\u0435\u0440\u0434\u0446\u0435 \u043e\u0441\u0442\u0430\u0432\u0438\u043c \u044f\u0440\u043a\u0438\u0439 \u0441\u043b\u0435\u0434,\n\u041f\u0443\u0442\u0435\u0432\u043e\u0434\u043d\u0430\u044f \u0437\u0432\u0435\u0437\u0434\u0430 \u0434\u043b\u044f \u0442\u0435\u0445, \u043a\u0442\u043e \u0438\u0434\u0451\u0442 \u0437\u0430 \u043d\u0430\u043c\u0438.\n\n\u041a\u0443\u043f\u043b\u0435\u0442 3:\n\u0412\u0435\u0447\u0435\u0440 \u043f\u0440\u0438\u0434\u0451\u0442, \u0437\u0430\u0441\u0438\u044f\u044e\u0442 \u0437\u0432\u0451\u0437\u0434\u044b,\n\u0422\u044b \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0438\u0448\u044c, \u043a\u0430\u043a \u043c\u043d\u043e\u0433\u043e \u0438\u0445, \u0438 \u043f\u043e\u0432\u0435\u0440\u0438\u0448\u044c.\n\u041a\u0430\u0436\u0434\u0430\u044f \u2014 \u043c\u0435\u0447\u0442\u0430, \u0447\u0442\u043e \u043e\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0438\u043b\u0430\u0441\u044c,\n\u0421\u043c\u0435\u043b\u043e \u0437\u0430\u0433\u0430\u0434\u0430\u0439, \u0438 \u0442\u0432\u043e\u044f \u0441\u0431\u0443\u0434\u0435\u0442\u0441\u044f.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0442\u044c, \u043c\u0435\u0447\u0442\u0430\u0442\u044c, \u0432\u0441\u0435 \u0437\u0432\u0451\u0437\u0434\u044b \u0442\u0435\u0431\u0435 \u0432\u0440\u0443\u0447\u0443,\n\u041f\u0443\u0441\u043a\u0430\u0439 \u043e\u0441\u0432\u0435\u0449\u0430\u044e\u0442 \u043f\u0443\u0442\u044c \u0442\u0432\u043e\u0435\u0439 \u0441\u0443\u0434\u044c\u0431\u044b.\n\u0418 \u043e\u0441\u0442\u0430\u043d\u0435\u0442\u0441\u044f \u0432 \u0441\u0435\u0440\u0434\u0446\u0435 \u0441\u043b\u0435\u0434,\n\u042d\u0442\u043e \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043c\u0435\u0447\u0442\u044b \u043a \u043e\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u043b\u0435\u043d\u0438\u044e \u0432\u0435\u0434\u0443\u0442.\n\n\u0417\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435:\n\u041c\u0435\u0447\u0442\u0430\u0439, \u043c\u0435\u0447\u0442\u0430\u0439, \u0438 \u0442\u044b \u0434\u043e\u0441\u0442\u0438\u0433\u043d\u0435\u0448\u044c \u0437\u0432\u0451\u0437\u0434,\n\u0421\u043b\u0435\u0434\u0443\u0439 \u0437\u0430 \u043c\u0435\u0447\u0442\u043e\u0439, \u0438 \u043e\u043d\u0430 \u043f\u0440\u0438\u0432\u0435\u0434\u0451\u0442 \u043a \u0447\u0443\u0434\u0435\u0441\u0430\u043c.\n\u041e\u043d\u0438 \u2014 \u0432 \u043a\u0430\u0436\u0434\u043e\u043c \u0448\u0430\u0433\u0435, \u0432\u0437\u0434\u043e\u0445\u0435, \u0432\u0437\u0433\u043b\u044f\u0434\u0435,\n\u0412 \u0441\u0435\u0440\u0434\u0446\u0435 \u043d\u0430\u0432\u0435\u043a\u0438, \u0432\u0435\u0434\u044c \u043c\u0435\u0447\u0442\u0430\u0442\u044c \u0442\u0430\u043a \u0432\u0430\u0436\u043d\u043e \u0434\u043b\u044f \u043d\u0430\u0441.\n","behavior":"degenerate_repetition","conversation_hash":"6ceb2a6bc988884b66778b17c5831968","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4-1106-preview","n_chars":1778,"n_turns_in_conversation":2,"n_words":295,"source_row_offset":2919,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:37:48 GMT","turn_id":"47ded8c8b422b037b00b4436","turn_index":0,"user_text":"\u041f\u0440\u0438\u0434\u0443\u043c\u0430\u0439 \u0441\u044e\u0436\u0435\u0442 \u0434\u043b\u044f \u043f\u0435\u0441\u043d\u0438 \u043e \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u0438\u0445 \u043c\u0435\u0447\u0442\u0430\u0445, \u0447\u0442\u043e \u043c\u0435\u0447\u0442\u0430\u0442\u044c \u043d\u0443\u0436\u043d\u043e \u0438 \u043a \u0447\u0435\u043c\u0443 \u044d\u0442\u043e \u043f\u0440\u0438\u0432\u043e\u0434\u0438\u0442. \u041d\u0430\u043f\u0438\u0448\u0438 \u0442\u0435\u043a\u0441\u0442 \u043f\u0435\u0441\u043d\u0438"},{"assistant_initiates":false,"asst_text":"\u041a\u0443\u043f\u043b\u0435\u0442 1:\n\u0412 \u043f\u043e\u043d\u0435\u0434\u0435\u043b\u044c\u043d\u0438\u043a \u043c\u0435\u0447\u0442\u0430\u044e \u043b\u0435\u0436\u0430\u0442\u044c \u043d\u0430 \u043f\u043b\u044f\u0436\u0435,\n\u0421\u043e\u043b\u043d\u0446\u0435 \u043f\u0440\u0438\u0433\u0440\u0435\u0435\u0442, \u043d\u0435\u0436\u043d\u043e \u0431\u0430\u043b\u0443\u0435\u0442 \u0432\u043e\u043b\u043d\u0430.\n\u0421\u0440\u0435\u0434\u0438 \u043d\u0435\u0434\u0435\u043b\u0438 \u0432 \u0433\u043e\u043b\u043e\u0432\u0435 \u043b\u0438\u0448\u044c \u043e\u0434\u043d\u0430 \u0437\u0430\u0434\u0430\u0447\u0430:\n\u0412\u044b\u0431\u0440\u0430\u0442\u044c \u0432 \u043c\u0435\u0447\u0442\u0430\u0445 \u043f\u0430\u043b\u044c\u043c\u0443, \u043f\u043e\u0434 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0441\u043f\u0430\u0442\u044c \u0434\u043e \u0443\u0442\u0440\u0430.\n\n\u041d\u0435 \u0431\u0435\u0440\u0443 \u0431\u0443\u043c\u0430\u0436\u043a\u0443, \u043d\u0435 \u043d\u0443\u0436\u0435\u043d \u0441\u0442\u0430\u0440\u044b\u0439 \u043f\u043b\u0430\u043d,\n\u041f\u043e \u0449\u0435\u043b\u0447\u043a\u0443 \u043f\u0430\u043b\u044c\u0446\u0435\u0432 \u2014 \u044f \u043d\u0430 \u044f\u0445\u0442\u0435 \u0441 \u043a\u043e\u043a\u0442\u0435\u0439\u043b\u0435\u043c \u0432 \u0440\u0443\u043a\u0435.\n\u0421\u043a\u0443\u0447\u043d\u044b\u0439 \u0434\u043e\u043a\u043b\u0430\u0434? \u041d\u0435\u0442, \u044f \u043b\u0443\u0447\u0448\u0435 \u043f\u043e\u043c\u0435\u0447\u0442\u0430\u044e \u0447\u0443\u0442\u043e\u043a,\n\u041f\u0443\u0441\u0442\u044c \u043a\u043e\u043b\u043b\u0435\u0433\u0430 \u043c\u043e\u0440\u0449\u0438\u0442\u0441\u044f, \u0437\u0430\u0442\u043e \u0441\u0435\u0440\u0434\u0446\u0435 \u043f\u043e\u0451\u0442 \u0438 \u0441\u043c\u0435\u0451\u0442\u0441\u044f.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0439, \u043c\u0435\u0447\u0442\u0430\u0439, \u0431\u0443\u0434\u0442\u043e \u0432\u043e\u0437\u0434\u0443\u0448\u043d\u044b\u0439 \u0448\u0430\u0440,\n\u041b\u0435\u0442\u0438, \u043f\u0430\u0440\u0438 \u043d\u0430\u0434 \u0437\u0435\u043c\u043b\u0451\u0439, \u043f\u043b\u044b\u0432\u0438 \u043f\u043e \u0432\u0435\u0442\u0440\u0430\u043c.\n\u0418 \u043e\u0441\u0442\u0430\u043d\u0435\u0442\u0441\u044f \u043f\u043e\u0441\u043b\u0435 \u0441\u043c\u0435\u0445,\n\u041a\u0430\u043a \u043d\u0430\u043f\u043e\u043c\u0438\u043d\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0436\u0438\u0437\u043d\u044c \u2014 \u0438\u0437 \u043c\u0438\u0440\u0430 \u0447\u0443\u0434\u0435\u0441.\n\n\u041a\u0443\u043f\u043b\u0435\u0442 2:\n\u0417\u0430\u043f\u0435\u0440\u0442 \u0432 \u043b\u0438\u0444\u0442\u0435 \u2014 \u0430 \u043c\u043d\u0435 \u0445\u043e\u0442\u044c \u0431\u044b \u0445\u043d\u044b!\n\u041c\u0435\u0447\u0442\u0430\u044e, \u0447\u0442\u043e \u0432 \u0441\u043f\u0430, \u0430 \u043d\u0435 \u0432 \u043c\u0435\u0442\u0430\u043b\u043b\u0435 \u0441 \u043f\u043e\u043b\u0447\u0430\u0441\u0430.\n\u0413\u0434\u0435-\u0442\u043e \u0437\u0432\u0451\u0437\u0434\u044b, \u0447\u0430\u0439 \u0441 \u043c\u044f\u0442\u043e\u0439, \u0432 \u0431\u0430\u0441\u0441\u0435\u0439\u043d\u0435 \u043f\u043b\u0435\u0441\u043a\u0430\u043b\u0430\u0441\u044c,\n\u041d\u0430 \u043b\u0438\u0446\u0435 \u043c\u0430\u0441\u043a\u0430, \u0430 \u0432 \u0443\u0448\u0430\u0445 \u0438\u0433\u0440\u0430\u0435\u0442 \u0434\u0436\u0430\u0437.\n\n\u041d\u0430 \u0440\u0430\u0431\u043e\u0442\u0443 \u0432 \u043f\u0438\u0436\u0430\u043c\u0435 \u043f\u0440\u0438\u0448\u0451\u043b \u0431\u044b \u044f \u0440\u0430\u0437,\n\u041f\u0443\u0441\u0442\u044c \u0432\u0441\u0435\u043c \u0432\u043e\u043a\u0440\u0443\u0433 \u0441\u0442\u0440\u0430\u043d\u043d\u043e, \u043c\u043d\u0435 \u0432\u0441\u0435 \u0440\u0430\u0432\u043d\u043e \u2014 \u043c\u0435\u0447\u0442\u0430 \u0432\u0435\u0434\u0451\u0442.\n\u0418 \u043a\u0430\u0436\u0434\u044b\u0439 \u0440\u0430\u0437, \u043a\u043e\u0433\u0434\u0430 \u043d\u0430\u0447\u0430\u043b\u044c\u0441\u0442\u0432\u043e \u043a \u0431\u043e\u044e \u043c\u0435\u043d\u044f \u0437\u043e\u0432\u0451\u0442,\n\u041c\u0435\u0447\u0442\u0430\u0442\u044c \u043d\u0430\u0447\u043d\u0443 \u2014 \u044f \u0432 \u0440\u0438\u043d\u0433\u0435, \u0438 \u043c\u043e\u044f \u043f\u0435\u0440\u0447\u0430\u0442\u043a\u0430 \u2014 \u043d\u043e\u043a\u0430\u0443\u0442.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0439, \u043c\u0435\u0447\u0442\u0430\u0439, \u0447\u0442\u043e \u0432\u0441\u0451 \u043d\u0435 \u0442\u0430\u043a \u0443\u0436 \u043f\u043b\u043e\u0445\u043e,\n\u0427\u0442\u043e \u0432 \u0431\u043e\u0440\u044c\u0431\u0435 \u0437\u0430 \u0441\u0447\u0430\u0441\u0442\u044c\u0435 \u0435\u0441\u0442\u044c \u0448\u0443\u0442\u043a\u0430, \u0435\u0441\u0442\u044c \u0438\u0433\u0440\u0430.\n\u0418 \u043e\u0441\u0442\u0430\u043d\u0435\u0442\u0441\u044f \u043f\u043e\u0441\u043b\u0435 \u043d\u0430\u0441 \u0441\u043c\u0435\u0445,\n\u0412 \u044d\u0442\u0438\u0445 \u0441\u0443\u043c\u0430\u0441\u0448\u0435\u0434\u0448\u0438\u0445 \u043c\u0435\u0447\u0442\u0430\u0445, \u0447\u0442\u043e \u0441\u0431\u0435\u0433\u0443\u0442 \u043e\u0442 \u0440\u0435\u0430\u043b\u0430.\n\n\u0411\u0440\u0438\u0434\u0436:\n\u041c\u044b \u0441\u043b\u0438\u0448\u043a\u043e\u043c \u0441\u0435\u0440\u044c\u0451\u0437\u043d\u044b, \u043d\u0443\u0436\u0435\u043d \u043f\u0435\u0440\u0435\u0440\u044b\u0432,\n\u041c\u0435\u0447\u0442\u0430\u043d\u0438\u044f \u0434\u0430\u0434\u0443\u0442 \u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u0441\u0442\u044c \u0432 \u0442\u0432\u043e\u0439 \u043f\u0443\u0442\u044c.\n\u0414\u0430\u0436\u0435 \u0435\u0441\u043b\u0438 \u044d\u0442\u043e \u0432\u0441\u0435 \u0437\u0430\u0431\u0430\u0432\u0430,\n\u041f\u043e\u043c\u043e\u0433\u0443\u0442 \u043e\u0442\u0434\u043e\u0445\u043d\u0443\u0442\u044c, \u0438 \u043d\u0435 \u0441\u043e\u0439\u0442\u0438 \u0441 \u0443\u043c\u0430.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0439, \u043c\u0435\u0447\u0442\u0430\u0439, \u043d\u0438 \u043a \u0447\u0435\u043c\u0443 \u0441\u043f\u0435\u0448\u0438\u0442\u044c,\n\u041d\u0435 \u0432\u0441\u0435\u0433\u0434\u0430 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043c\u044b\u0441\u043b\u0438 \u043d\u0443\u0436\u043d\u043e \u043e\u0434\u0435\u0432\u0430\u0442\u044c.\n\u041e\u0441\u0442\u0430\u043d\u0435\u0442\u0441\u044f \u0432 \u0441\u0435\u0440\u0434\u0446\u0435 \u0438\u0433\u0440\u0430,\n\u041c\u0438\u0440 \u0444\u0430\u043d\u0442\u0430\u0437\u0438\u0439, \u0433\u0434\u0435 \u0432\u0441\u0451 \u0437\u0430\u043f\u0440\u0435\u0449\u0451\u043d\u043d\u043e\u0435 \u043c\u043e\u0436\u043d\u043e \u043e\u0431\u0440\u0435\u0442\u0430\u0442\u044c.\n\n\u041a\u0443\u043f\u043b\u0435\u0442 3:\n\u041a\u0430\u043a \u043c\u043e\u0436\u043d\u043e \u0436\u0438\u0442\u044c, \u0435\u0441\u043b\u0438 \u0442\u043e\u043b\u044c\u043a\u043e \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c?\n\u041d\u0443\u0436\u043d\u043e \u043f\u043e\u0440\u043e\u044e \u043f\u043e \u0432\u043e\u0437\u0434\u0443\u0445\u0443 \u043f\u0440\u044b\u0433\u0430\u0442\u044c, \u043f\u043b\u044b\u0442\u044c.\n\u041c\u0435\u0447\u0442\u044b \u043a\u0430\u043a \u0441\u0430\u0445\u0430\u0440, \u0436\u0438\u0437\u043d\u044c \u0431\u0435\u0437 \u043d\u0438\u0445 \u2014 \u043a\u043e\u0433\u0434\u0430 \u0432\u043e\u0434\u0430 \u0431\u0435\u0437 \u043a\u043e\u0442\u0430,\n\u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u0435\u0447\u0442\u0430\u0439, \u0438 \u043d\u0435 \u0432\u0430\u0436\u043d\u043e, \u0447\u0442\u043e \u0441\u043a\u0430\u0436\u0443\u0442 \u0434\u0440\u0443\u0433\u0438\u0435.\n\n\u041f\u0440\u0438\u043f\u0435\u0432:\n\u041c\u0435\u0447\u0442\u0430\u0439, \u043c\u0435\u0447\u0442\u0430\u0439, \u0431\u0435\u0437 \u043e\u0433\u043b\u044f\u0434\u043a\u0438 \u043d\u0430 \u0432\u0435\u0441\u044c \u0441\u0432\u0435\u0442,\n\u041f\u0443\u0441\u043a\u0430\u0439 \u0433\u043e\u043d\u0438\u0442 \u0432\u0435\u0442\u0435\u0440, \u0442\u044b \u043a \u043d\u0435\u0431\u0435\u0441\u0430\u043c \u0434\u043e\u0441\u0442\u0430\u043d\u044c.\n\u0423\u043b\u044b\u0431\u043d\u0451\u0442\u0441\u044f \u043f\u043e\u0441\u043b\u0435 \u043d\u0430\u043c \u0441\u0443\u0434\u044c\u0431\u0430,\n\u0411\u0443\u0434\u0435\u0442 \u0436\u0438\u0437\u043d\u044c \u043b\u0435\u0433\u043a\u0430, \u043a\u043e\u0433\u0434\u0430 \u043c\u0435\u0447\u0442\u0430\u0442\u044c \u043d\u0435 \u0431\u043e\u0438\u0448\u044c\u0441\u044f \u0442\u044b.\n\n\u0417\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435:\n\u041c\u0435\u0447\u0442\u0430\u0439 \u0441 \u0443\u0442\u0440\u0430 \u0438 \u0434\u043e \u0441\u0430\u043c\u043e\u0433\u043e \u0432\u0435\u0447\u0435\u0440\u0430,\n\u041f\u043e\u0437\u0432\u043e\u043b\u044c \u0444\u0430\u043d\u0442\u0430\u0437\u0438\u044f\u043c \u0432\u0435\u0441\u0442\u0438 \u0442\u0435\u0431\u044f \u0437\u0430 \u0441\u043e\u0431\u043e\u0439.\n\u0416\u0438\u0437\u043d\u044c \u2014 \u044d\u0442\u043e \u043f\u0440\u0430\u0437\u0434\u043d\u0438\u043a, \u0430 \u043c\u0435\u0447\u0442\u044b \u2014 \u043a\u043e\u0440\u0441\u0435\u0442\u044b \u0444\u0435\u0439\u0435\u0440\u0432\u0435\u0440\u043a\u0430,\n\u041f\u0443\u0441\u0442\u044c \u0441\u0432\u0435\u0442\u044f\u0442 \u043a\u0440\u0430\u0441\u043a\u0430\u043c\u0438, \u0438 \u043d\u0430\u043f\u043e\u043b\u043d\u044f\u0442 \u043c\u0438\u0440 \u0432\u043e\u043b\u0448\u0435\u0431\u043d\u044b\u043c \u0441\u043c\u0435\u0445\u043e\u043c.","behavior":"degenerate_repetition","conversation_hash":"6ceb2a6bc988884b66778b17c5831968","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4-1106-preview","n_chars":1978,"n_turns_in_conversation":2,"n_words":340,"source_row_offset":2920,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:37:48 GMT","turn_id":"53f8729bdb444313e3b4c0d9","turn_index":1,"user_text":"\u0410 \u0442\u0435\u043f\u0435\u0440\u044c \u043f\u043e\u0434\u043e\u0431\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442, \u043d\u043e \u0431\u043e\u043b\u0435\u0435 \u043b\u0435\u0433\u043a\u043e\u043c\u044b\u0441\u043b\u0435\u043d\u043d\u044b\u0439"},{"assistant_initiates":false,"asst_text":"\u041e\u0448\u0438\u0431\u043a\u0430 \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u0435\u0442 \u0438\u0437-\u0437\u0430 \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u043c\u0430\u0442\u0440\u0438\u0446 `X_centered` \u0438 `self.components_` \u043d\u0435 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u044e\u0442 \u0434\u043b\u044f \u0443\u043c\u043d\u043e\u0436\u0435\u043d\u0438\u044f. \n\n\u0427\u0442\u043e\u0431\u044b \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u044d\u0442\u043e, \u043c\u043e\u0436\u043d\u043e \u0442\u0440\u0430\u043d\u0441\u043f\u043e\u043d\u0438\u0440\u043e\u0432\u0430\u0442\u044c `self.components_` \u043f\u0435\u0440\u0435\u0434 \u0443\u043c\u043d\u043e\u0436\u0435\u043d\u0438\u0435\u043c, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u043b\u0438. \n\n\u0418\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u0434 \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:\n\n```python\nclass PCA_Ex_Torch_M:\n    def __init__(self, n_components=400):\n        self.n_components = n_components\n\n    def fit(self, X):\n        # \u0446\u0435\u043d\u0442\u0440\u0438\u0440\u0443\u0435\u043c \u0434\u0430\u043d\u043d\u044b\u0435\n        self.mean_ = torch.mean(X, dim=0)\n        X_centered = X - self.mean_\n\n        # SVD \u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435\n        U, S, V = torch.svd(X_centered)\n\n        # \u0431\u0435\u0440\u0435\u043c \u0442\u043e\u043b\u044c\u043a\u043e \u043d\u0443\u0436\u043d\u043e\u0435 \u0447\u0438\u0441\u043b\u043e \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\n        self.components_ = V.T[:, :self.n_components]\n\n        pca = X_centered @ self.components_.T  # \u0442\u0440\u0430\u043d\u0441\u043f\u043e\u043d\u0438\u0440\u0443\u0435\u043c self.components_\n        return pca\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f\ninputs = torch.randn(400, 4096)\npca_ex_m = PCA_Ex_Torch_M(300)\npca_ex_m.fit(inputs).shape\n```\n\n\u0422\u0435\u043f\u0435\u0440\u044c \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u043c\u0430\u0442\u0440\u0438\u0446 \u0431\u0443\u0434\u0443\u0442 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u0442\u044c \u0438 \u0443\u043c\u043d\u043e\u0436\u0435\u043d\u0438\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0441\u044f \u0443\u0441\u043f\u0435\u0448\u043d\u043e.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":2172,"n_turns_in_conversation":9,"n_words":219,"source_row_offset":2921,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"6c17cdd518e4a2abbc6f0344","turn_index":0,"user_text":"class PCA_Ex_Torch_M:\n    def __init__(self, n_components=400):\n        self.n_components = n_components\n\n    def fit(self, X):\n        # \u0446\u0435\u043d\u0442\u0440\u0438\u0440\u0443\u0435\u043c \u0434\u0430\u043d\u043d\u044b\u0435\n        self.mean_ = torch.mean(X, dim=0)\n        X_centered = X - self.mean_\n\n        # SVD \u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435\n        U, S, V = torch.svd(X_centered)\n\n        # \u0431\u0435\u0440\u0435\u043c \u0442\u043e\u043b\u044c\u043a\u043e \u043d\u0443\u0436\u043d\u043e\u0435 \u0447\u0438\u0441\u043b\u043e \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\n        self.components_ = V.T[:, :self.n_components]\n\n        pca = X_centered @ self.components_\n        return pca\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f\ninputs = torch.randn(400, 4096)\npca_ex_m = PCA_Ex_Torch_M(300)\npca_ex_m.fit(inputs).shape\n\n---------------------------------------------------------------------------\nRuntimeError                              Traceback (most recent call last)\n<ipython-input-133-75a6e5fa5e05> in <cell line: 22>()\n     20 inputs = torch.randn(400, 4096)\n     21 pca_ex_m = PCA_Ex_Torch_M(300)\n---> 22 pca_ex_m.fit(inputs).shape\n\n<ipython-input-133-75a6e5fa5e05> in fit(self, X)\n     14         self.components_ = V.T[:, :self.n_components]\n     15 \n---> 16         pca = X_centered @ self.components_\n     17         return pca\n     18 \n\nRuntimeError: mat1 and mat2 shapes cannot be multiplied (400x4096 and 400x300)"},{"assistant_initiates":false,"asst_text":"\u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440 \u043a\u043e\u0434\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0443\u043c\u0435\u043d\u044c\u0448\u0430\u0435\u0442 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u044c hidden_states \u0434\u043e \u043d\u043e\u0432\u043e\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 new_size \u0441 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043f\u043e\u0442\u0435\u0440\u044f\u043c\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0432 Torch:\n\n```python\nimport torch\n\ndef reducer_size_qr_torch(hidden_states, new_size=700):\n    Q, R = torch.linalg.qr(hidden_states)\n    rank_reducted_torch = torch.mm(Q[:, :new_size], R[:new_size, :])\n    return rank_reducted_torch\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f\nsize_changing = 1000\nnew_size = 700\ninput_hidden_states = torch.randn(size_changing, 4096)\n\nreduced_hidden_states = reducer_size_qr_torch(input_hidden_states, new_size)\nprint(reduced_hidden_states.size())\n```\n\n\u042d\u0442\u043e\u0442 \u043a\u043e\u0434 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0444\u0443\u043d\u043a\u0446\u0438\u044e `reducer_size_qr_torch`, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u0435\u0442 hidden_states \u0438 \u043d\u043e\u0432\u044b\u0439 \u0440\u0430\u0437\u043c\u0435\u0440 new_size, \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442 QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043a hidden_states \u0438 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u043d\u044b\u0435 hidden_states \u043d\u043e\u0432\u043e\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 new_size. \n\n\u0417\u0430\u0442\u0435\u043c \u043e\u043d \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u0442 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0435 hidden_states `input_hidden_states`, \u0443\u043c\u0435\u043d\u044c\u0448\u0430\u0435\u0442 \u0438\u0445 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u044c \u0438 \u0432\u044b\u0432\u043e\u0434\u0438\u0442 \u0440\u0430\u0437\u043c\u0435\u0440 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u043d\u043e\u0439 \u043c\u0430\u0442\u0440\u0438\u0446\u044b.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":1333,"n_turns_in_conversation":9,"n_words":128,"source_row_offset":2922,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"3c1d98b97188d8d507099acd","turn_index":1,"user_text":"def reducter_size_qr_torch(hidden_states, new_size=700):\n\n    Q, R = torch.linalg.qr( \n        \n    return out # torch.Size([size_changing, new_size])\n\n   \n\nnew_size = 700\ninput_hidden_states = torch.randn ([size_changing, 4096])\n\nrank_reducted_torch = torch.Size([size_changing, new_size])\n\n\u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u043c\u0430\u043b\u044b\u043c\u0438 \u043f\u043e\u0442\u0435\u0440\u044f\u043c\u0438\n    \u043d\u0430\u043f\u0438\u0448\u0438 \u043f\u043e\u043b\u043d\u044b\u0439 \u043a\u043e\u0434 \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f, torch:"},{"assistant_initiates":false,"asst_text":"\u0427\u0442\u043e\u0431\u044b \u0443\u043c\u0435\u043d\u044c\u0448\u0438\u0442\u044c \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u044c hidden_states \u0441 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043f\u043e\u0442\u0435\u0440\u044f\u043c\u0438 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0432 Torch, \u0430 \u0437\u0430\u0442\u0435\u043c \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u043c\u0435\u0442\u0440\u0438\u043a\u0438 \u043c\u0435\u0436\u0434\u0443 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c\u0438 \u0438 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u043d\u044b\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438, \u0432\u043e\u0442 \u043a\u043e\u0434 \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f:\n\n```python\nimport torch\n\ndef reducer_size_qr_torch(hidden_states, new_size=700):\n    Q, R = torch.linalg.qr(hidden_states)\n    rank_reducted_torch = torch.mm(Q[:, :new_size], R[:new_size, :])\n    return rank_reducted_torch\n\ndef metric1(data1, data2):\n    return torch.mean(torch.abs(data1 - data2))\n\ndef metric2(data1, data2):\n    return torch.sum(data1 * data2)\n\ndef metric3(data1, data2):\n    return torch.dist(data1, data2)\n\nsize_changing = 1000\nnew_size = 700\ninput_hidden_states = torch.randn(size_changing, 4096)\n\nrank_reducted_torch = torch.randn(size_changing, new_size)\nprint(rank_reducted_torch.shape)\n\nreduced_hidden_states = reducer_size_qr_torch(input_hidden_states, new_size)\n\nmetric1_result = metric1(input_hidden_states, reduced_hidden_states)\nmetric2_result = metric2(input_hidden_states, reduced_hidden_states)\nmetric3_result = metric3(input_hidden_states, reduced_hidden_states)\n\nprint(metric1_result.item(), metric2_result.item(), metric3_result.item())\n```\n\n\u042d\u0442\u043e\u0442 \u043a\u043e\u0434 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0434\u043b\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u044f \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438, \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u043c\u0435\u0442\u0440\u0438\u043a \u0438 \u043f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f. \u041e\u043d \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0444\u0443\u043d\u043a\u0446\u0438\u044e `reducer_size_qr_torch`, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0430\u0435\u0442 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u044c hidden_states, \u0437\u0430\u0442\u0435\u043c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0442\u0440\u0438 \u043c\u0435\u0442\u0440\u0438\u043a\u0438 `metric1`, `metric2`, `metric3`, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u044e\u0442 \u0434\u0430\u043d\u043d\u044b\u0435, \u0438 \u043f\u0440\u043e\u0432\u043e\u0434\u0438\u0442 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442 \u0441 \u0441\u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":2316,"n_turns_in_conversation":9,"n_words":218,"source_row_offset":2923,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"b1eb7a8499d5487d099441fc","turn_index":2,"user_text":"def reducter_size_qr_torch(hidden_states, new_size=700):\n\n    Q, R = torch.linalg.qr( \n        \n    return out # torch.Size([size_changing, new_size])\n\n   \n\nnew_size = 700\ninput_hidden_states = torch.randn ([size_changing, 4096])\n\nrank_reducted_torch = torch.Size([size_changing, new_size])\nprint(rank_reducted_torch.shape)\n\nmetric1 = metric1(input_hidden_states, rank_reducted_torch) # wow, very fast after reduce!\nmetric2 = metric2(input_hidden_states, rank_reducted_torch) # wow, very fast reduce process!\nmetric3 = metric3(input_hidden_states, rank_reducted_torch) # wow, low loss data features after reducte!\n   print(metric1, metric2, metric3) # wow, low loss data features after reduce very fast!\n    \n\u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u043c\u0430\u043b\u044b\u043c\u0438 \u043f\u043e\u0442\u0435\u0440\u044f\u043c\u0438\n    \u043d\u0430\u043f\u0438\u0448\u0438 \u043f\u043e\u043b\u043d\u044b\u0439 \u043a\u043e\u0434 \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f, torch:"},{"assistant_initiates":false,"asst_text":"\u0412\u043e\u0442 \u043f\u043e\u043b\u043d\u044b\u0439 \u043a\u043e\u0434 \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u044f \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 hidden_states \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0432 Torch \u0438 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u043c\u0435\u0442\u0440\u0438\u043a \u043c\u0435\u0436\u0434\u0443 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c\u0438 \u0438 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u043d\u044b\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438:\n\n```python\nimport torch\n\ndef reducter_size_qr_torch(hidden_states, new_size=700):\n    Q, R = torch.linalg.qr(hidden_states)\n    out = torch.mm(Q[:, :new_size], R[:new_size, :])\n    return out\n\ndef metric1(data1, data2):\n    return torch.mean(torch.abs(data1 - data2))\n\ndef metric2(data1, data2):\n    return torch.sum(data1 * data2)\n\ndef metric3(data1, data2):\n    return torch.dist(data1, data2)\n\nsize_changing = 1000\nnew_size = 700\ninput_hidden_states = torch.randn(size_changing, 4096)\n\nrank_reducted_torch = torch.randn(size_changing, new_size)\nprint(rank_reducted_torch.shape)\n\nreduced_hidden_states = reducter_size_qr_torch(input_hidden_states, new_size)\n\nmetric1_result = metric1(input_hidden_states, reduced_hidden_states)\nmetric2_result = metric2(input_hidden_states, reduced_hidden_states)\nmetric3_result = metric3(input_hidden_states, reduced_hidden_states)\n\nprint(metric1_result.item(), metric2_result.item(), metric3_result.item())\n```\n\n\u0412 \u044d\u0442\u043e\u043c \u043a\u043e\u0434\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442\u0441\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044f `reducter_size_qr_torch`, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0430\u0435\u0442 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u044c hidden_states, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0434\u043b\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u043c\u0435\u0442\u0440\u0438\u043a `metric1`, `metric2`, `metric3`. \u0417\u0430\u0442\u0435\u043c \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0435 hidden_states `input_hidden_states`, \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u044f, \u0432\u044b\u0447\u0438\u0441\u043b\u044f\u044e\u0442\u0441\u044f \u043c\u0435\u0442\u0440\u0438\u043a\u0438 \u043c\u0435\u0436\u0434\u0443 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c\u0438 \u0438 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u043d\u044b\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438, \u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0432\u044b\u0432\u043e\u0434\u044f\u0442\u0441\u044f.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":2312,"n_turns_in_conversation":9,"n_words":218,"source_row_offset":2924,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"a5391962278fa20dc9a781cc","turn_index":3,"user_text":"def reducter_size_qr_torch(hidden_states, new_size=700):\n\n    Q, R = torch.linalg.qr( \n        \n    return out # torch.Size([size_changing, new_size])\n\n   \n\nnew_size = 700\ninput_hidden_states = torch.randn ([size_changing, 4096])\n\nrank_reducted_torch = torch.Size([size_changing, new_size])\nprint(rank_reducted_torch.shape)\n\nmetric1 = metric1(input_hidden_states, rank_reducted_torch) # wow, very fast after reduce!\nmetric2 = metric2(input_hidden_states, rank_reducted_torch) # wow, very fast reduce process!\nmetric3 = metric3(input_hidden_states, rank_reducted_torch) # wow, low loss data features after reducte!\n   print(metric1, metric2, metric3) # wow, low loss data features after reduce very fast!\n    \n\u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u043c\u0430\u043b\u044b\u043c\u0438 \u043f\u043e\u0442\u0435\u0440\u044f\u043c\u0438\n    \u043d\u0430\u043f\u0438\u0448\u0438 \u043f\u043e\u043b\u043d\u044b\u0439 \u043a\u043e\u0434 \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f, torch:"},{"assistant_initiates":false,"asst_text":"\u0414\u043e\u043f\u0438\u0448\u0435\u043c \u043a\u043e\u0434, \u0434\u043e\u0431\u0430\u0432\u0438\u0432 \u0441\u043b\u043e\u0439 `ReducterLayer` \u043a\u0430\u043a \u043f\u043e\u0434\u043a\u043b\u0430\u0441\u0441 `nn.Module` \u0432 PyTorch:\n\n```python\nimport torch\nimport torch.nn as nn\n\nclass ReducterLayer(nn.Module):\n    def __init__(self, input_size, output_size):\n        super(ReducterLayer, self).__init__()\n        self.linear = nn.Linear(input_size, output_size)\n\n    def forward(self, x):\n        return self.linear(x)\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f\nsize_changing = 1000\ninput_size = 4096\noutput_size = 700\n\ninput_hidden_states = torch.randn(size_changing, input_size)\n\nreducer_layer = ReducterLayer(input_size, output_size)\nreduced_hidden_states = reducer_layer(input_hidden_states)\n\nprint(reduced_hidden_states.size())\n```\n\n\u0412 \u044d\u0442\u043e\u043c \u043a\u043e\u0434\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442\u0441\u044f \u043a\u043b\u0430\u0441\u0441 `ReducterLayer`, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434\u043a\u043b\u0430\u0441\u0441\u043e\u043c `nn.Module` \u0438 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0441\u043b\u043e\u0439 \u043b\u0438\u043d\u0435\u0439\u043d\u043e\u0433\u043e \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u044f. \u041c\u0435\u0442\u043e\u0434 `forward` \u0441\u043b\u043e\u044f \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442 \u043b\u0438\u043d\u0435\u0439\u043d\u043e\u0435 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043a \u0432\u0445\u043e\u0434\u043d\u044b\u043c \u0434\u0430\u043d\u043d\u044b\u043c.\n\n\u0414\u0430\u043b\u0435\u0435 \u0441\u043e\u0437\u0434\u0430\u0435\u0442\u0441\u044f \u044d\u043a\u0437\u0435\u043c\u043f\u043b\u044f\u0440 `ReducterLayer` \u0441 \u0437\u0430\u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0440\u0430\u0437\u043c\u0435\u0440\u0430\u043c\u0438 \u0432\u0445\u043e\u0434\u0430 \u0438 \u0432\u044b\u0445\u043e\u0434\u0430, \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0435 \u0432\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 `input_hidden_states`, \u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0441\u043b\u043e\u044f `ReducterLayer`.\n\n\u041f\u043e\u0436\u0430\u043b\u0443\u0439\u0441\u0442\u0430, \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0434\u043b\u044f \u0437\u0430\u0434\u0430\u0447\u0438 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u044f \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0434\u0440\u0443\u0433\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u0441\u0435\u0442\u0438 \u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 \u0430\u043a\u0442\u0438\u0432\u0430\u0446\u0438\u0438 \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u0437\u0430\u0434\u0430\u0447\u0438.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":1340,"n_turns_in_conversation":9,"n_words":140,"source_row_offset":2925,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"efda0c469fd9120726cee2ab","turn_index":4,"user_text":"\u0434\u043e\u043f\u0438\u0448\u0438 \u0438 \u0441\u0434\u0435\u043b\u0430\u0439 \u0441\u043b\u043e\u0439 class nn.Module\n\u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f"},{"assistant_initiates":false,"asst_text":"\u0412\u043c\u0435\u0441\u0442\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u0438 `reducter_size_qr_torch` \u043d\u0430\u043f\u0440\u044f\u043c\u0443\u044e, \u0441\u043e\u0437\u0434\u0430\u0434\u0438\u043c \u043a\u043b\u0430\u0441\u0441 `QRReducterLayer`, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u0435\u0442 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u043a\u0430\u043a \u0441\u043b\u043e\u0439 `nn.Module`. \u0412\u043e\u0442 \u043a\u0430\u043a \u044d\u0442\u043e \u043c\u043e\u0436\u043d\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c:\n\n```python\nimport torch\nimport torch.nn as nn\n\nclass QRReducterLayer(nn.Module):\n    def __init__(self, input_size, output_size):\n        super(QRReducterLayer, self).__init__()\n        self.input_size = input_size\n        self.output_size = output_size\n\n    def forward(self, x):\n        Q, R = torch.linalg.qr(x)\n        out = torch.mm(Q[:, :self.output_size], R[:self.output_size, :])\n        return out\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f\nsize_changing = 1000\ninput_size = 4096\noutput_size = 700\n\ninput_hidden_states = torch.randn(size_changing, input_size)\n\nqr_reducer = QRReducterLayer(input_size, output_size)\nreduced_hidden_states = qr_reducer(input_hidden_states)\n\nprint(reduced_hidden_states.size())\n```\n\n\u0412 \u044d\u0442\u043e\u043c \u043a\u043e\u0434\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442\u0441\u044f \u043a\u043b\u0430\u0441\u0441 `QRReducterLayer`, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u0435\u0442 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0432 \u0432\u0438\u0434\u0435 \u0441\u043b\u043e\u044f `nn.Module`. \u041c\u0435\u0442\u043e\u0434 `forward` \u0441\u043b\u043e\u044f \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442 QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043a \u0432\u0445\u043e\u0434\u043d\u044b\u043c \u0434\u0430\u043d\u043d\u044b\u043c \u0438 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435.\n\n\u0417\u0430\u0442\u0435\u043c \u0441\u043e\u0437\u0434\u0430\u0435\u0442\u0441\u044f \u044d\u043a\u0437\u0435\u043c\u043f\u043b\u044f\u0440 `QRReducterLayer` \u0441 \u0437\u0430\u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0440\u0430\u0437\u043c\u0435\u0440\u0430\u043c\u0438 \u0432\u0445\u043e\u0434\u0430 \u0438 \u0432\u044b\u0445\u043e\u0434\u0430, \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u0435 \u0432\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 `input_hidden_states`, \u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u044d\u0442\u043e\u0433\u043e \u0441\u043b\u043e\u044f.\n\n\u0422\u0430\u043a\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c, \u043c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b\u0438 QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0434\u043b\u044f \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u044f \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043a\u0430\u043a \u0447\u0430\u0441\u0442\u044c \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0439 \u0441\u0435\u0442\u0438, \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u0439 \u0432 \u0432\u0438\u0434\u0435 \u043a\u043b\u0430\u0441\u0441\u0430 `nn.Module` \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":1785,"n_turns_in_conversation":9,"n_words":186,"source_row_offset":2926,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"50d1f478f56448addc6eb009","turn_index":5,"user_text":"\u0434\u043e\u043f\u0438\u0448\u0438 \u0438 \u0441\u0434\u0435\u043b\u0430\u0439 \u0441\u043b\u043e\u0439 class nn.Module\n\u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0438\u0437 \u044d\u0442\u043e\u0433\u043e:\ndef reducter_size_qr_torch(hidden_states, new_size=700):\n    Q, R = torch.linalg.qr(hidden_states)\n    out = torch.mm(Q[:, :new_size], R[:new_size, :])\n    return out"},{"assistant_initiates":false,"asst_text":"\u041e\u0448\u0438\u0431\u043a\u0443 \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0435\u0432\u0435\u0440\u043d\u043e\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043d\u0441\u0442\u0440\u0443\u043a\u0442\u043e\u0440\u0430 `__init__` \u0432 \u043a\u043b\u0430\u0441\u0441\u0435 `QRReducterLayer`. \u0412\u043c\u0435\u0441\u0442\u043e `init` \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c `__init__`. \u0412\u043e\u0442 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u0434:\n\n```python\nimport torch\nimport torch.nn as nn\n\nclass QRReducterLayer(nn.Module):\n    def __init__(self, input_size, output_size):\n        super(QRReducterLayer, self).__init__()\n        self.input_size = input_size\n        self.output_size = output_size\n\n    def forward(self, x):\n        Q, R = torch.linalg.qr(x)\n        out = torch.mm(Q[:, :self.output_size], R[:self.output_size, :])\n        return out\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f\nsize_changing = 1000\ninput_size = 4096\noutput_size = 700\n\ninput_hidden_states = torch.randn(size_changing, input_size)\n\nqr_reducer = QRReducterLayer(input_size, output_size)\nreduced_hidden_states = qr_reducer(input_hidden_states)\n\nprint(reduced_hidden_states.size())\n```\n\n\u041f\u043e\u0441\u043b\u0435 \u0432\u043d\u0435\u0441\u0435\u043d\u0438\u044f \u044d\u0442\u043e\u0433\u043e \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u043a\u043e\u0434 \u0434\u043e\u043b\u0436\u0435\u043d \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u043e.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":2379,"n_turns_in_conversation":9,"n_words":213,"source_row_offset":2927,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"5639bca04f0bf6b0dcc8e47b","turn_index":6,"user_text":"import torch\nimport torch.nn as nn\n\nclass QRReducterLayer(nn.Module):\n    def init(self, input_size, output_size):\n        super(QRReducterLayer, self).init()\n        self.input_size = input_size\n        self.output_size = output_size\n\n    def forward(self, x):\n        Q, R = torch.linalg.qr(x)\n        out = torch.mm(Q[:, :self.output_size], R[:self.output_size, :])\n        return out\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f\nsize_changing = 1000\ninput_size = 4096\noutput_size = 700\n\ninput_hidden_states = torch.randn(size_changing, input_size)\n\nqr_reducer = QRReducterLayer(input_size, output_size)\nreduced_hidden_states = qr_reducer(input_hidden_states)\n\nprint(reduced_hidden_states.size())\nTypeError                                 Traceback (most recent call last)\n<ipython-input-138-9738d7e1a066> in <cell line: 22>()\n     20 input_hidden_states = torch.randn(size_changing, input_size)\n     21 \n---> 22 qr_reducer = QRReducterLayer(input_size, output_size)\n     23 reduced_hidden_states = qr_reducer(input_hidden_states)\n     24 \n\n/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py in __init__(self, *args, **kwargs)\n    462 \n    463         if self.call_super_init is False and bool(args):\n--> 464             raise TypeError(f\"{type(self).__name__}.__init__() takes 1 positional argument but {len(args) + 1} were\"\n    465                             \" given\")\n    466 \n\nTypeError: QRReducterLayer.__init__() takes 1 positional argument but 3 were given"},{"assistant_initiates":false,"asst_text":"\u041e\u0448\u0438\u0431\u043a\u0430 \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u0435\u0442 \u0438\u0437-\u0437\u0430 \u043d\u0435\u0432\u0435\u0440\u043d\u043e\u0433\u043e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u043a\u043e\u043d\u0441\u0442\u0440\u0443\u043a\u0442\u043e\u0440\u0430 `__init__` \u0432 \u043a\u043b\u0430\u0441\u0441\u0435 `QRReducter`. \u041d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c `init` \u043d\u0430 `__init__`. \u0412\u043e\u0442 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u0434:\n\n```python\nimport torch\nimport torch.nn as nn\n\nclass QRReducter(nn.Module):\n    def __init__(self, input_size, output_size):\n        super().__init__()\n        self.input_size = input_size\n        self.output_size = output_size\n\n    def forward(self, x):\n        Q, R = torch.linalg.qr(x)\n        out = torch.mm(Q[:, :self.output_size], R[:self.output_size, :])\n        return out\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f\nsize_changing = 1000\ninput_size = 4096\noutput_size = 700\n\ninput_hidden_states = torch.randn(size_changing, input_size)\n\nqr_reducer = QRReducter(input_size, output_size)\nreduced_hidden_states = qr_reducer(input_hidden_states)\n\nprint(reduced_hidden_states.size())\n```\n\n\u041f\u043e\u0441\u043b\u0435 \u0432\u043d\u0435\u0441\u0435\u043d\u0438\u044f \u044d\u0442\u043e\u0433\u043e \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u043a\u043e\u0434 \u0434\u043e\u043b\u0436\u0435\u043d \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u043e \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u044d\u043a\u0437\u0435\u043c\u043f\u043b\u044f\u0440 \u043a\u043b\u0430\u0441\u0441\u0430 `QRReducter` \u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e QR-\u0440\u0430\u0437\u043b\u043e\u0436\u0435\u043d\u0438\u044f.","behavior":"degenerate_repetition","conversation_hash":"6d0a9548d81410b9105f5dcc472f0b40","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0125","n_chars":2361,"n_turns_in_conversation":9,"n_words":216,"source_row_offset":2928,"source_shard":"turns-00018.parquet","timestamp":"Fri, 08 Mar 2024 15:38:06 GMT","turn_id":"a2e7448a2f31605bb4eb7197","turn_index":7,"user_text":"class QRReducter(nn.Module):\n    def init(self, input_size, output_size):\n        super().__init__()\n        self.input_size = input_size\n        self.output_size = output_size\n\n    def forward(self, x):\n        Q, R = torch.linalg.qr(x)\n        out = torch.mm(Q[:, :self.output_size], R[:self.output_size, :])\n        return out\n\n# \u041f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f\nsize_changing = 1000\ninput_size = 4096\noutput_size = 700\n\ninput_hidden_states = torch.randn(size_changing, input_size)\n\nqr_reducer = QRReducter(input_size, output_size)\nreduced_hidden_states = qr_reducer(input_hidden_states)\n\nprint(reduced_hidden_states.size())\nTypeError                                 Traceback (most recent call last)\n<ipython-input-141-0adb5a6d25f9> in <cell line: 19>()\n     17 input_hidden_states = torch.randn(size_changing, input_size)\n     18 \n---> 19 qr_reducer = QRReducter(input_size, output_size)\n     20 reduced_hidden_states = qr_reducer(input_hidden_states)\n     21 \n\n/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py in __init__(self, *args, **kwargs)\n    462 \n    463         if self.call_super_init is False and bool(args):\n--> 464             raise TypeError(f\"{type(self).__name__}.__init__() takes 1 positional argument but {len(args) + 1} were\"\n    465                             \" given\")\n    466 \n\nTypeError: QRReducter.__init__() takes 1 positional argument but 3 were given"}],"shard":{"index":18,"name":"turns-00018.parquet","rows":78782}}