Comments (1)
Currently CNN_Tensorflow is using synthetic data, so there is no script for dataset preparation. But it can also use real imagenet dataset. The dataset size is very large. You can download and process it by yourself and use it in the benchmark.
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Related Issues (14)
- the model files cannot be downloaded via git lfs
- DIEN implementation is not aligned with DIEN paper for some reason HOT 2
- Missing dimensions of this benchmark suite HOT 1
- DeepInterestNetwork opens HOT 4
- DeepInterestNetwork: inconsistant between code and result HOT 1
- typo in micro_benchmark/gemm/test_allgemm.sh:13&15 HOT 1
- Why DeepSpeech is removed in macro_benchmark directory ? HOT 1
- Is there DIEN pretrained model provided? HOT 1
- DIEN got lower AUC than original paper
- module 'mlperf_compliance.mlperf_log' has no attribute 'setdefault' in SSD_ResNet34_PyTorch
- DIEN_TF2 .contrib is used by FP16 and mode=test HOT 1
- Bugs in DIEN and DIEN_TF2, both got nan when training with prepare_data.sh HOT 1
- maskrcnn generates images/second but result is secs HOT 1
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