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https://www.ibm.com/docs/en/boa/1.1.0?topic=guide-batch-sampling

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https://stackoverflow.com/questions/32504394/batch-processing-mode-in-caffe

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https://towardsdatascience.com/batch-sampler-for-sequential-data-using-pytorch-deep-learning-framework-part-3-df19f449f24e

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https://krishnachaitanya7.github.io/Pytorch-dataloaders-with-Batch-Samplers/

What is Batch Sampler: # A custom Sampler that yields a list of batch indices at a time can be passed as the batch_sampler argument. # Automatic batching can also be …


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https://github.com/intel/caffe/blob/master/src/caffe/util/sampler.cpp

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Using DistributedSampler in combination with …

https://discuss.pytorch.org/t/using-distributedsampler-in-combination-with-batch-sampler-to-make-sure-batches-have-sentences-of-similar-length/119824

With torchtext 0.9.0, BucketIterator was depreciated and DataLoader is encouraged to be used instead, which is great since DataLoader is compatible with DistributedSampler and …


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https://stackoverflow.com/questions/61458305/how-to-use-a-batchsampler-within-a-dataloader

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How to use BatchSampler with __getitem__ dataset

https://discuss.pytorch.org/t/how-to-use-batchsampler-with-getitem-dataset/78788

You could disable automatic batching as described here and use a BatchSampler. Let me know, if that works for you. Well conceptually yes, But practically I just can’t get my …


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batch_sampler — PaddleNLP documentation - Read the Docs

https://paddlenlp.readthedocs.io/en/latest/source/paddlenlp.utils.batch_sampler.html

batch_sampler. class DistributedBatchSampler(dataset, batch_size, num_replicas=None, rank=None, shuffle=False, drop_last=False, consumed_samples=0) [source] ¶. Sampler that …


Python Examples of torch.utils.data.BatchSampler

https://www.programcreek.com/python/example/125045/torch.utils.data.BatchSampler

def generate_batch(self, episodes, episode_labels): total_steps = sum([len(e) for e in episodes]) assert total_steps > self.batch_size print('Total Steps: {}'.format(total_steps)) # Episode …


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Examples of how to use batch_norm in caffe · GitHub - Gist

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Caffe2 - C++ API: torch/csrc/api/src/data/samplers/random.cpp …

https://caffe2.ai/doxygen-c/html/random_8cpp_source.html

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MyCaffe: Member List

https://www.mycaffe.org/onlinehelp/mycaffe/html/class_my_caffe_1_1param_1_1ssd_1_1_batch_sampler.html

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torch.utils.data — PyTorch 1.13 documentation

https://pytorch.org/docs/stable/data.html

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Python torch.utils.data.sampler.BatchSampler() Examples

https://www.programcreek.com/python/example/120250/torch.utils.data.sampler.BatchSampler

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C++ API: torch::data::samplers::RandomSampler Class Reference

https://caffe2.ai/doxygen-c/html/classtorch_1_1data_1_1samplers_1_1_random_sampler.html

Constructs a RandomSampler with a size and dtype for the stored indices.. The constructor will eagerly allocate all required indices, which is the sequence 0 ... size - 1.index_dtype is the data …


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batch_sampler — PaddleNLP 文档

https://paddlenlp.readthedocs.io/zh/latest/source/paddlenlp.utils.batch_sampler.html

batch_sampler¶ class DistributedBatchSampler (dataset, batch_size, num_replicas = None, rank = None, shuffle = False, drop_last = False, consumed_samples = 0) [源代码] ¶. Sampler that …


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ReproducibleBatchSampler — PyTorch-Ignite v0.4.10 Documentation

https://pytorch.org/ignite/generated/ignite.engine.deterministic.ReproducibleBatchSampler.html

Reproducible batch sampler. This class internally iterates and stores indices of the input batch sampler. This helps to start providing data batches from an iteration in a deterministic way. …


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how do you implement batch normalization in caffe? - Google …

https://groups.google.com/g/caffe-users/c/IMgFGOLO_uc

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https://towardsdatascience.com/pytorch-basics-sampling-samplers-2a0f29f0bf2a

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