flow.load tolerates FileNotFound fault

[daquexian]

flow.load(path) 的 path 里如果有多余文件时不报错，并更新相应的单测

[chengtbf]

这里是不是要提示用户一句？

[daquexian]

可以的

[github-actions]

Speed stats:

GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 128.3ms (= 6412.6ms / 50, input_shape=[16, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 141.8ms (= 7088.5ms / 50, input_shape=[16, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 1.11 (= 141.8ms / 128.3ms)

OneFlow resnet50 time: 74.6ms (= 3728.2ms / 50, input_shape=[8, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 86.6ms (= 4329.5ms / 50, input_shape=[8, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 1.16 (= 86.6ms / 74.6ms)

OneFlow resnet50 time: 49.8ms (= 2490.4ms / 50, input_shape=[4, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 61.9ms (= 3093.2ms / 50, input_shape=[4, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 1.24 (= 61.9ms / 49.8ms)

OneFlow resnet50 time: 40.0ms (= 2001.1ms / 50, input_shape=[2, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 48.6ms (= 2431.4ms / 50, input_shape=[2, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 1.22 (= 48.6ms / 40.0ms)

OneFlow resnet50 time: 43.3ms (= 2163.3ms / 50, input_shape=[1, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 43.2ms (= 2162.2ms / 50, input_shape=[1, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 1.00 (= 43.2ms / 43.3ms)

OneFlow resnet50 time: 140.1ms (= 7003.0ms / 50, input_shape=[16, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 150.9ms (= 7546.8ms / 50, input_shape=[16, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 1.08 (= 150.9ms / 140.1ms)

OneFlow resnet50 time: 91.3ms (= 4564.2ms / 50, input_shape=[8, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 91.4ms (= 4567.8ms / 50, input_shape=[8, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 1.00 (= 91.4ms / 91.3ms)

OneFlow resnet50 time: 66.8ms (= 3338.3ms / 50, input_shape=[4, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 58.3ms (= 2914.2ms / 50, input_shape=[4, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 0.87 (= 58.3ms / 66.8ms)

OneFlow resnet50 time: 56.2ms (= 2811.8ms / 50, input_shape=[2, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 55.5ms (= 2776.2ms / 50, input_shape=[2, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 0.99 (= 55.5ms / 56.2ms)

OneFlow resnet50 time: 55.9ms (= 2796.8ms / 50, input_shape=[1, 3, 224, 224], backward is enabled)
OneFlow GPU used (rank 0): 0 MiB
PyTorch resnet50 time: 48.2ms (= 2408.9ms / 50, input_shape=[1, 3, 224, 224], backward is enabled)
PyTorch GPU used (rank 0, estimated): 0 MiB
Relative speed: 0.86 (= 48.2ms / 55.9ms)