{'resnet_v2_50/block3/unit_3/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 256, 1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/moving_variance': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/gamma': [128],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv3/biases/Momentum': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/moving_mean': [64],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/beta': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [64],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv3/biases/Momentum': [2048],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [2048],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/weights': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/gamma': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/beta': [128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [1024],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/beta/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/beta': [1024],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/shortcut/biases/ExponentialMovingAverage': [2048],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/shortcut/biases/Momentum': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/beta/Momentum': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/gamma/Momentum': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/beta': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/beta': [128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv3/biases': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/shortcut/weights': [1, 1, 512, 1024],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 256, 64],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/beta': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/weights/Momentum': [1, 1, 256, 64],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv3/weights': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/gamma': [2048],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 512, 2048],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [64],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/weights/Momentum': [3, 3, 256, 256],
'resnet_v2_50/logits/weights/Momentum': [1, 1, 2048, 1001],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/beta/Momentum': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [2048],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/shortcut/biases/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/beta': [512],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/gamma': [512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/beta': [512],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/moving_mean': [1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/weights/Momentum': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/weights': [3, 3, 256, 256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/postnorm/beta': [2048],
'resnet_v2_50/block1/unit_1/bottleneck_v2/shortcut/biases/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 2048, 512],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/moving_variance': [512],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/weights/Momentum': [1, 1, 512, 128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/beta': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv3/weights/Momentum': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/beta': [128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/beta/Momentum': [2048],
'resnet_v2_50/conv1/weights/ExponentialMovingAverage': [7, 7, 3, 64],
'resnet_v2_50/block2/unit_1/bottleneck_v2/shortcut/weights/Momentum': [1, 1, 256, 512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv3/weights': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean': [128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/gamma': [128],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 64, 64],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [64],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/gamma': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/shortcut/biases': [2048],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance': [128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [1024],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [64],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/moving_mean': [1024],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 128, 128],
'resnet_v2_50/postnorm/gamma/Momentum': [2048], 'resnet_v2_50/block3/unit_5/bottleneck_v2/conv3/biases/Momentum': [1024],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv3/biases': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/gamma': [128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 64, 256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv3/weights/Momentum': [1, 1, 128, 512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv3/biases': [2048],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 64, 256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 1024, 512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/weights': [1, 1, 64, 64],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/weights/Momentum': [3, 3, 64, 64],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv3/biases/Momentum': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/moving_mean': [1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_1/bottleneck_v2/shortcut/weights/ExponentialMovingAverage': [1, 1, 512, 1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/moving_mean': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [64],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/beta/Momentum': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [64],
'resnet_v2_50/conv1/biases': [64],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/postnorm/moving_mean/ExponentialMovingAverage': [2048],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/weights': [3, 3, 64, 64],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/conv1/weights': [7, 7, 3, 64], 'resnet_v2_50/block3/unit_6/bottleneck_v2/conv3/biases/Momentum': [1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/weights': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/gamma': [128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 256, 1024],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/beta/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/moving_mean': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/weights': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 128, 512],
'resnet_v2_50/postnorm/beta/ExponentialMovingAverage': [2048],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/gamma': [128],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/weights/Momentum': [3, 3, 256, 256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [64],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/weights/Momentum': [1, 1, 2048, 512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/weights/Momentum': [1, 1, 2048, 512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv3/biases/Momentum': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv3/weights/Momentum': [1, 1, 512, 2048],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv3/biases': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/beta': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv3/weights/Momentum': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/shortcut/weights/Momentum': [1, 1, 64, 256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv3/biases/Momentum': [2048],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/weights/Momentum': [3, 3, 512, 512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/moving_mean': [256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [64],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv3/weights/Momentum': [1, 1, 64, 256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/gamma': [1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean': [128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv3/weights': [1, 1, 128, 512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/shortcut/weights/Momentum': [1, 1, 512, 1024],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv3/biases/Momentum': [1024],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/moving_mean': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/gamma': [512],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 256, 1024],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [1024],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/weights': [1, 1, 2048, 512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/moving_mean': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/gamma': [512],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/moving_variance': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 128, 128],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/gamma': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean': [128],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/gamma/Momentum': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/gamma': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance': [64],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [2048],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/moving_variance': [64],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/gamma/Momentum': [2048],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/moving_variance': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/weights': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/shortcut/biases': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/shortcut/biases/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 256, 128],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 256, 64],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/beta/Momentum': [1024],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/moving_variance': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/beta/Momentum': [64],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/beta/Momentum': [1024],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv3/biases': [1024],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [64],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [64],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/moving_mean': [1024],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/gamma': [256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/moving_variance': [2048],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/moving_variance': [1024],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 512, 512],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/weights': [3, 3, 64, 64],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 512, 512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/gamma/Momentum': [512],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv3/weights': [1, 1, 256, 1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [64],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 512, 2048],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/logits/biases': [1001], 'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/gamma/Momentum': [1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/weights': [3, 3, 256, 256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 1024, 256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/beta': [64],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/gamma': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv3/weights/Momentum': [1, 1, 64, 256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 256, 256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/beta': [2048],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv3/biases': [2048],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/moving_variance': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [2048],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/weights': [3, 3, 256, 256],
'resnet_v2_50/logits/biases/ExponentialMovingAverage': [1001],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv3/weights/Momentum': [1, 1, 256, 1024],
'resnet_v2_50/postnorm/gamma': [2048], 'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/beta/Momentum': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/gamma': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/weights': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean': [64],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 256, 1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv3/weights': [1, 1, 256, 1024],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 256, 256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/gamma/Momentum': [1024],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/weights': [1, 1, 512, 128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 256, 256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance': [128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 512, 128],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/gamma/Momentum': [1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean': [64],
'resnet_v2_50/logits/weights/ExponentialMovingAverage': [1, 1, 2048, 1001],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/moving_mean': [256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/moving_variance': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/beta': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/postnorm/moving_variance/ExponentialMovingAverage': [2048],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv3/weights/Momentum': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv3/weights/Momentum': [1, 1, 128, 512],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv3/biases': [1024],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [64],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [64],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv3/weights': [1, 1, 128, 512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/beta/Momentum': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/shortcut/weights/Momentum': [1, 1, 1024, 2048],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/moving_mean': [128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [64],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/moving_variance': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/moving_mean': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv3/weights/Momentum': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/shortcut/biases/Momentum': [256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/gamma': [512],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/weights': [1, 1, 512, 128],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/moving_variance': [1024],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/beta': [1024],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 512, 128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/beta': [128],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/moving_mean': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/beta': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv3/biases': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 128, 512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/weights': [3, 3, 512, 512],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/weights/Momentum': [3, 3, 64, 64],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv3/weights/Momentum': [1, 1, 512, 2048],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/gamma': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/beta/Momentum': [1024],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 512, 256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/weights/Momentum': [1, 1, 512, 128],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance': [64],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean': [64],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/weights': [1, 1, 1024, 256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 64, 64],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/weights/Momentum': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/beta/ExponentialMovingAverage': [2048],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 64, 64],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/moving_variance': [1024],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [64],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/moving_mean': [2048],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance': [128],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/beta': [128],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/moving_mean': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/weights': [1, 1, 1024, 512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv3/weights': [1, 1, 512, 2048],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 2048, 512],
'resnet_v2_50/conv1/biases/ExponentialMovingAverage': [64],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv3/biases/Momentum': [2048],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [64],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/weights': [1, 1, 256, 128],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/beta': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/weights/Momentum': [3, 3, 256, 256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/shortcut/biases/Momentum': [512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 128, 512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [512],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/weights/Momentum': [1, 1, 1024, 256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/weights': [3, 3, 512, 512],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/weights': [1, 1, 256, 64],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv3/weights/Momentum': [1, 1, 128, 512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv3/biases': [2048],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/beta/Momentum': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [2048],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/moving_variance': [2048],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean': [128],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/gamma/Momentum': [2048],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/gamma': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/moving_mean': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv3/biases': [1024],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/shortcut/biases': [256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/weights/Momentum': [3, 3, 512, 512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance': [128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/shortcut/weights': [1, 1, 64, 256],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/weights': [1, 1, 1024, 256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/beta': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv3/biases': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/moving_variance': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/gamma': [512],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/gamma/Momentum': [64],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/gamma': [64],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/weights/Momentum': [3, 3, 128, 128],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv3/weights': [1, 1, 64, 256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/beta/ExponentialMovingAverage': [64],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 1024, 256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/beta/Momentum': [1024],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/beta': [1024],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv3/biases/Momentum': [1024],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/postnorm/gamma/ExponentialMovingAverage': [2048],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 256, 256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/moving_variance': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/weights/Momentum': [3, 3, 512, 512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/weights': [3, 3, 64, 64],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/gamma': [64],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/beta': [128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/weights': [1, 1, 1024, 256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/beta': [64],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/moving_variance': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/weights/Momentum': [1, 1, 512, 256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/moving_mean': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/moving_variance': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance': [512],
'resnet_v2_50/logits/weights': [1, 1, 2048, 1001],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 512, 128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/gamma': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/beta': [64],
'total_loss/ExponentialMovingAverage': [],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [64],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/gamma': [1024],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/weights/Momentum': [1, 1, 1024, 512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/gamma': [128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/gamma': [128],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean': [128],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/beta': [1024],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/shortcut/weights': [1, 1, 256, 512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [64],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 512, 2048],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/beta': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [128],
'resnet_v2_50/block2/unit_3/bottleneck_v2/preact/gamma/Momentum': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean': [512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 256, 256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv3/biases/Momentum': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/gamma/Momentum': [1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [64],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/beta': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/gamma/Momentum': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/weights/Momentum': [1, 1, 256, 128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/gamma': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/moving_variance': [1024],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/gamma': [256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/gamma': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/beta': [128],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/moving_mean': [2048],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 512, 512],
'resnet_v2_50/postnorm/beta/Momentum': [2048],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/beta/ExponentialMovingAverage': [128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance': [64],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/moving_variance': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv3/biases': [1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv3/biases': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv3/biases/Momentum': [512],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/moving_mean': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/beta': [128],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/beta': [1024],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/moving_mean': [1024],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/weights/Momentum': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/moving_mean': [1024],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [64],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean': [512],
'resnet_v2_50/postnorm/moving_mean': [2048],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv3/biases/Momentum': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/weights/Momentum': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/gamma/Momentum': [1024],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/gamma': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance': [64],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/beta': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/gamma': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/beta': [512],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/weights': [1, 1, 2048, 512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/weights/Momentum': [3, 3, 128, 128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv3/weights': [1, 1, 64, 256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [2048],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv3/weights': [1, 1, 64, 256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean': [64],
'resnet_v2_50/block2/unit_2/bottleneck_v2/preact/beta/ExponentialMovingAverage': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/gamma/Momentum': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/BatchNorm/beta': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [64],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv3/weights/Momentum': [1, 1, 64, 256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean': [256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/moving_mean/ExponentialMovingAverage': [2048],
'global_step': [],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [512],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv3/weights/Momentum': [1, 1, 128, 512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [2048],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/beta/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/beta': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/weights': [1, 1, 1024, 256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/shortcut/biases/Momentum': [2048],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/weights': [3, 3, 256, 256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/moving_mean': [128],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/gamma': [1024],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/weights/Momentum': [1, 1, 64, 64],
'resnet_v2_50/block1/unit_1/bottleneck_v2/shortcut/weights/ExponentialMovingAverage': [1, 1, 64, 256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv3/weights': [1, 1, 512, 2048],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/moving_variance': [128],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/gamma': [64],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/moving_mean': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv3/biases': [512],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/BatchNorm/gamma': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv3/weights/Momentum': [1, 1, 256, 1024],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/gamma': [128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/weights/Momentum': [3, 3, 128, 128],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv1/weights/ExponentialMovingAverage': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/gamma/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv3/biases': [1024],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [64],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv1/BatchNorm/beta': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/beta/Momentum': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/beta': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [64],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/gamma': [64],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [64],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv1/BatchNorm/moving_variance': [128],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/gamma': [2048],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 64, 256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/gamma': [1024],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/preact/beta/Momentum': [512],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/beta/ExponentialMovingAverage': [2048],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/moving_mean': [64],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 256, 256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv2/BatchNorm/beta': [256],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv1/BatchNorm/moving_mean': [512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/shortcut/weights': [1, 1, 1024, 2048],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/gamma': [256],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/beta': [512],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_6/bottleneck_v2/preact/beta/ExponentialMovingAverage': [1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [64],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/beta': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/beta': [256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/ExponentialMovingAverage': [256],
'resnet_v2_50/conv1/biases/Momentum': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv2/BatchNorm/moving_variance': [128],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/beta/Momentum': [1024],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/weights/Momentum': [1, 1, 512, 128],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/beta': [64],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/weights/Momentum': [1, 1, 1024, 256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/preact/moving_variance': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv3/biases/ExponentialMovingAverage': [1024],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/beta': [64],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/weights': [3, 3, 512, 512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/gamma': [1024],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv1/BatchNorm/moving_mean/ExponentialMovingAverage': [128],
'resnet_v2_50/block4/unit_2/bottleneck_v2/conv2/BatchNorm/gamma': [512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/moving_variance': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/preact/beta': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/preact/beta': [256],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 128, 512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv3/weights/Momentum': [1, 1, 512, 2048],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/moving_variance': [1024],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv3/weights': [1, 1, 512, 2048],
'resnet_v2_50/block2/unit_3/bottleneck_v2/conv2/BatchNorm/moving_variance': [128],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/beta/Momentum': [2048],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/weights': [1, 1, 256, 64],
'resnet_v2_50/block2/unit_1/bottleneck_v2/shortcut/biases': [512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/shortcut/weights/ExponentialMovingAverage': [1, 1, 1024, 2048],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/weights': [3, 3, 256, 256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_1/bottleneck_v2/preact/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv1/weights': [1, 1, 512, 256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv3/weights': [1, 1, 128, 512],
'resnet_v2_50/conv1/weights/Momentum': [7, 7, 3, 64],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/weights/ExponentialMovingAverage': [3, 3, 64, 64],
'resnet_v2_50/block3/unit_3/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [256],
'resnet_v2_50/block3/unit_3/bottleneck_v2/preact/beta/ExponentialMovingAverage': [1024],
'resnet_v2_50/block1/unit_1/bottleneck_v2/preact/gamma': [64],
'resnet_v2_50/block2/unit_4/bottleneck_v2/conv3/weights': [1, 1, 128, 512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv3/weights/ExponentialMovingAverage': [1, 1, 256, 1024],
'resnet_v2_50/block4/unit_2/bottleneck_v2/preact/beta': [2048],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv1/BatchNorm/gamma': [64],
'resnet_v2_50/block2/unit_1/bottleneck_v2/shortcut/weights/ExponentialMovingAverage': [1, 1, 256, 512],
'resnet_v2_50/block3/unit_4/bottleneck_v2/preact/beta/ExponentialMovingAverage': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/moving_variance': [256],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/BatchNorm/beta': [64],
'resnet_v2_50/logits/biases/Momentum': [1001],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [512],
'resnet_v2_50/block4/unit_1/bottleneck_v2/conv2/BatchNorm/gamma': [512],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/moving_mean': [512],
'resnet_v2_50/block2/unit_1/bottleneck_v2/conv2/BatchNorm/moving_mean': [128],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/gamma/Momentum': [128],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv1/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/BatchNorm/moving_mean/ExponentialMovingAverage': [256],
'resnet_v2_50/block1/unit_1/bottleneck_v2/conv2/BatchNorm/gamma/Momentum': [64],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [256],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv2/BatchNorm/gamma': [64],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv2/weights/Momentum': [3, 3, 256, 256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv2/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv3/weights': [1, 1, 256, 1024],
'resnet_v2_50/block3/unit_1/bottleneck_v2/conv3/biases/Momentum': [1024],
'resnet_v2_50/postnorm/moving_variance': [2048],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/BatchNorm/beta/Momentum': [128],
'resnet_v2_50/block3/unit_5/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [1024],
'resnet_v2_50/block4/unit_3/bottleneck_v2/preact/moving_variance/ExponentialMovingAverage': [2048],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv2/weights/Momentum': [3, 3, 64, 64],
'resnet_v2_50/block3/unit_1/bottleneck_v2/preact/gamma': [512],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/weights/Momentum': [1, 1, 256, 64],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv3/biases': [1024],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv1/weights': [1, 1, 512, 128],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/beta': [64],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv2/weights/Momentum': [3, 3, 256, 256],
'resnet_v2_50/block3/unit_4/bottleneck_v2/conv3/weights': [1, 1, 256, 1024],
'resnet_v2_50/block1/unit_3/bottleneck_v2/conv1/BatchNorm/beta/ExponentialMovingAverage': [64],
'resnet_v2_50/block1/unit_2/bottleneck_v2/conv3/biases/Momentum': [256],
'resnet_v2_50/block4/unit_3/bottleneck_v2/conv2/BatchNorm/beta': [512],
'resnet_v2_50/block3/unit_5/bottleneck_v2/conv2/weights/Momentum': [3, 3, 256, 256],
'resnet_v2_50/block3/unit_2/bottleneck_v2/conv2/weights': [3, 3, 256, 256],
'resnet_v2_50/block4/unit_1/bottleneck_v2/preact/gamma': [1024],
'resnet_v2_50/block3/unit_6/bottleneck_v2/conv2/BatchNorm/moving_variance/ExponentialMovingAverage': [256],
'resnet_v2_50/block2/unit_2/bottleneck_v2/conv3/biases/Momentum': [512]}
resnet 50模块参数索引文本
猜你喜欢
转载自blog.csdn.net/qq_28424679/article/details/81013801
今日推荐
周排行