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Safemotion Lib
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Public Member Functions | |
| __init__ (self, int size) | |
| __iter__ (self) | |
| __len__ (self) | |
Protected Attributes | |
| _size | |
| _rank | |
| _world_size | |
| _local_indices | |
Produce indices for inference. Inference needs to run on the __exact__ set of samples, therefore when the total number of samples is not divisible by the number of workers, this sampler produces different number of samples on different workers.
Definition at line 58 of file data_sampler.py.
| fastreid.data.samplers.data_sampler.InferenceSampler.__init__ | ( | self, | |
| int | size ) |
Args:
size (int): the total number of data of the underlying dataset to sample from
Definition at line 66 of file data_sampler.py.
| fastreid.data.samplers.data_sampler.InferenceSampler.__iter__ | ( | self | ) |
Definition at line 81 of file data_sampler.py.
| fastreid.data.samplers.data_sampler.InferenceSampler.__len__ | ( | self | ) |
Definition at line 84 of file data_sampler.py.
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protected |
Definition at line 79 of file data_sampler.py.
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protected |
Definition at line 73 of file data_sampler.py.
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Definition at line 71 of file data_sampler.py.
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Definition at line 74 of file data_sampler.py.