{
  "metadata": {
    "total_size": 37302090624
  },
  "weight_map": {
    "tf_reg_net_model/regnet/embedder/embedder/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/embedder/embedder/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/embedder/embedder/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/embedder/embedder/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/embedder/embedder/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/convolution/kernel:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/beta:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/gamma:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/convolution/kernel:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/beta:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/gamma:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/convolution/kernel:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/beta:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/gamma:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.0/bias:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.0/kernel:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.2/bias:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.2/kernel:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/convolution/kernel:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/beta:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/gamma:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/convolution/kernel:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/beta:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/gamma:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
    "tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5"
  }
}