support setting linewidth when printing tensor

[zhiqiu]

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Describe

support setting linewith when printing tensor

example:

import paddle
paddle.set_device('cpu')
print(paddle.rand([128]))

• before

Tensor(shape=[128], dtype=float32, place=CPUPlace, stop_gradient=True,
       [0.25879696, 0.50074619, 0.42323840, 0.82446575, 0.39084101, 0.92338073, 0.19577874, 0.24568094, 0.27637541, 0.60177094, 0.86259216, 0.61054200, 0.33126462, 0.93450648, 0.00483538, 0.99225968, 0.12046290, 0.74805290, 0.98294413, 0.70920837, 0.19146118, 0.07873910, 0.55049354, 0.42201182, 0.59506327, 0.68768454, 0.51395941, 0.32184485, 0.62919736, 0.08746319, 0.85324347, 0.63044840, 0.95606005, 0.88146579, 0.36332738, 0.96352220, 0.51063681, 0.04236199, 0.15389654, 0.30684447, 0.42809242, 0.67423820, 0.97434431, 0.99616867, 0.33430573, 0.10935546, 0.42269734, 0.05253475, 0.17454797, 0.38270098, 0.11430093, 0.26122841, 0.19456232, 0.65461051, 0.56123203, 0.49002135, 0.31312251, 0.93153483, 0.30818963, 0.15251365, 0.32353821, 0.30551898, 0.36442485, 0.40510795, 0.89311606, 0.92002070, 0.68200099, 0.40158343, 0.50882781, 0.30949739, 0.12179364, 0.39190039, 0.79011095, 0.54286033, 0.04059581, 0.83654737, 0.65178066, 0.11252493, 0.76168078, 0.88825911, 0.94004720, 0.05871697, 0.71592027, 0.61785829, 0.09553445, 0.91939163, 0.70225674, 0.28409877, 0.81965858, 0.80185008, 0.97601324, 0.93515635, 0.22272588, 0.65675360, 0.98064482, 0.74841386, 0.96231246, 0.02801217, 0.12536934, 0.36017764, 0.27299404, 0.49377578, 0.50777233, 0.30256188, 0.60731179, 0.29038930, 0.09265211, 0.34631616, 0.30070779, 0.52958041, 0.87109202, 0.60556680, 0.38582516, 0.18227829, 0.06854590, 0.52260894, 0.79142720, 0.76220429, 0.22608277, 0.75814641, 0.92421502, 0.11488840, 0.94726086, 0.40558460, 0.29326001, 0.92102498, 0.89815515, 0.24918547])

• after

Tensor(shape=[128], dtype=float32, place=CPUPlace, stop_gradient=True,
       [0.64210677, 0.29518706, 0.02316176, 0.92657983, 0.86357725, 0.34900561,
        0.83634359, 0.02825335, 0.70678812, 0.88396561, 0.84726501, 0.02937236,
        0.32962683, 0.14127953, 0.39749566, 0.39639288, 0.68818319, 0.85836589,
        0.29287007, 0.39107677, 0.66112262, 0.54898244, 0.08978599, 0.52089310,
        0.39118996, 0.96775877, 0.42206866, 0.54190171, 0.47031319, 0.51122624,
        0.73364568, 0.23708570, 0.15532853, 0.73647565, 0.22350034, 0.10148101,
        0.80225837, 0.76297283, 0.60741764, 0.73123831, 0.21276061, 0.42741513,
        0.59695411, 0.45203823, 0.19846323, 0.50947398, 0.83071703, 0.28732094,
        0.34440970, 0.11087228, 0.00979803, 0.49785492, 0.52611905, 0.81910795,
        0.72262925, 0.09054404, 0.62422019, 0.01256844, 0.25523758, 0.18106040,
        0.50645089, 0.30861688, 0.33442861, 0.77534479, 0.45010498, 0.16513087,
        0.32983506, 0.56820840, 0.24458770, 0.85438418, 0.41875023, 0.14537217,
        0.89864367, 0.77489346, 0.00518836, 0.89297730, 0.89268827, 0.79128748,
        0.53369522, 0.57141852, 0.09816289, 0.30599827, 0.69243705, 0.97171158,
        0.04167920, 0.11852661, 0.01744425, 0.28972524, 0.02576177, 0.41406485,
        0.82753962, 0.30737782, 0.57591951, 0.82203513, 0.70567185, 0.92207402,
        0.96810609, 0.38387364, 0.24886288, 0.11878176, 0.70832491, 0.64576322,
        0.50040072, 0.13337536, 0.01327138, 0.24596225, 0.78893894, 0.06154043,
        0.36811954, 0.39499450, 0.87873530, 0.05128795, 0.82705784, 0.50951785,
        0.23817837, 0.07571696, 0.49847323, 0.14726780, 0.36729920, 0.07978059,
        0.20751251, 0.09077857, 0.34751672, 0.04037165, 0.01764036, 0.12095008,
        0.76149827, 0.07044062])

[paddle-bot-old]

Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

[lanxianghit]

LGTM

[XiaoguangHu01]

LGTM