Problem with imagenet dataset

[L-ED]

Hi everyone, when i'm trying to launch provided in readme python command, i'm catching error

(mx_quant) root@226a37f8fc1a:/workspace/quantization/quant_mxnet/examples# python simulate_quantization.py --model=mobilenet1.0

************************* Settings ************************* model : mobilenet1.0 print_model : False list_models : False use_gpu : -1 dataset : imagenet use_gn : False batch_norm : False use_se : False last_gamma : False merge_bn : False weight_bits_width : 8 input_signed : false input_bits_width : 8 quant_type : layer num_workers : 4 batch_size : 128 num_sample : 5 quantize_input_offline : False calib_mode : naive calib_epoch : 3 disable_cudnn_autotune : False eval_per_calib : False exclude_first_conv : true fixed_random_seed : 7 wino_quantize : none

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************************* Exclude blocks ************************* mobilenet0_conv0 mobilenet0_batchnorm0

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Traceback (most recent call last): File "/workspace/quantization/quant_mxnet/examples/simulate_quantization.py", line 273, in eval_dataset = dataset(train=False).transform_first(eval_transformer) File "/opt/conda/envs/mx_quant/lib/python3.9/site-packages/gluoncv/data/imagenet/classification.py", line 29, in init super(ImageNet, self).init(root=root, flag=1, transform=transform) File "/opt/conda/envs/mx_quant/lib/python3.9/site-packages/mxnet/gluon/data/vision/datasets.py", line 300, in init self._list_images(self._root) File "/opt/conda/envs/mx_quant/lib/python3.9/site-packages/mxnet/gluon/data/vision/datasets.py", line 306, in _list_images for folder in sorted(os.listdir(root)): FileNotFoundError: [Errno 2] No such file or directory: '/root/.mxnet/datasets/imagenet/val'