Tensor str

[liufengwei0103]

Tensor str

效果图：
int 类型：

int mode(val == np.ceil(val))，科学计数法：

int mode, 非科学计数法：

浮点类型：

浮点类型，科学计数法：

压缩数据形式：

consistent tensor打印（暂时不能打印数据）：

local tensor以及它的meta打印：

consistent tensor以及meta打印：

@strint

[github-actions]

CI failed, removing label automerge

[wyg1997]

好像新合进去一批doctest又出问题了，需要重新测一下Module下所有doctest

[github-actions]

Speed stats:

GPU Name: GeForce GTX 1080 

PyTorch resnet50 time: 140.7ms (= 7035.6ms / 50, input_shape=[16, 3, 224, 224], backward is enabled)
OneFlow resnet50 time: 128.4ms (= 6420.1ms / 50, input_shape=[16, 3, 224, 224], backward is enabled)
Relative speed: 1.10 (= 140.7ms / 128.4ms)

PyTorch resnet50 time: 83.9ms (= 4193.6ms / 50, input_shape=[8, 3, 224, 224], backward is enabled)
OneFlow resnet50 time: 74.6ms (= 3729.5ms / 50, input_shape=[8, 3, 224, 224], backward is enabled)
Relative speed: 1.12 (= 83.9ms / 74.6ms)

PyTorch resnet50 time: 55.9ms (= 2796.0ms / 50, input_shape=[4, 3, 224, 224], backward is enabled)
OneFlow resnet50 time: 47.4ms (= 2368.0ms / 50, input_shape=[4, 3, 224, 224], backward is enabled)
Relative speed: 1.18 (= 55.9ms / 47.4ms)

PyTorch resnet50 time: 49.1ms (= 2454.3ms / 50, input_shape=[2, 3, 224, 224], backward is enabled)
OneFlow resnet50 time: 40.5ms (= 2025.4ms / 50, input_shape=[2, 3, 224, 224], backward is enabled)
Relative speed: 1.21 (= 49.1ms / 40.5ms)

PyTorch resnet50 time: 42.6ms (= 2127.8ms / 50, input_shape=[1, 3, 224, 224], backward is enabled)
OneFlow resnet50 time: 41.2ms (= 2059.5ms / 50, input_shape=[1, 3, 224, 224], backward is enabled)
Relative speed: 1.03 (= 42.6ms / 41.2ms)