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end_points_shape.py
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end_points_shape.py
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{'Mixed_5b': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_5b/concat:0' shape=(?, 25, 25, 256) dtype=float32>,
'MaxPool_5a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/MaxPool_5a_3x3/MaxPool:0' shape=(?, 25, 25, 192) dtype=float32>,
'Predictions': <tf.Tensor 'InceptionV3/InceptionV3/Predictions/Reshape_1:0' shape=(?, 1, 1, 151) dtype=float32>,
'Mixed_6e': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6e/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'Mixed_6b': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6b/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'Mixed_7a': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_7a/concat:0' shape=(?, 5, 5, 1280) dtype=float32>,
'Conv2d_3b_1x1': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_3b_1x1/Relu:0' shape=(?, 54, 54, 80) dtype=float32>,
'Conv2d_2a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu:0' shape=(?, 109, 109, 32) dtype=float32>,
'Mixed_6c': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6c/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'Mixed_7b': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_7b/concat:0' shape=(?, 5, 5, 2048) dtype=float32>,
'Mixed_5d': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_5d/concat:0' shape=(?, 25, 25, 288) dtype=float32>,
'AuxLogits': <tf.Tensor 'InceptionV3/InceptionV3/AuxLogits/Conv2d_2b_1x1/BiasAdd:0' shape=(?, 1, 1, 151) dtype=float32>,
'Mixed_5c': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_5c/concat:0' shape=(?, 25, 25, 288) dtype=float32>,
'Mixed_6a': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6a/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'MaxPool_3a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/MaxPool_3a_3x3/MaxPool:0' shape=(?, 54, 54, 64) dtype=float32>,
'Logits': <tf.Tensor 'InceptionV3/InceptionV3/Logits/Conv2d_1c_1x1/BiasAdd:0' shape=(?, 1, 1, 151) dtype=float32>,
'PreLogits': <tf.Tensor 'InceptionV3/InceptionV3/Logits/Dropout_1b/dropout/mul:0' shape=(?, 1, 1, 2048) dtype=float32>,
'Mixed_6d': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6d/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'Conv2d_2b_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu:0' shape=(?, 109, 109, 64) dtype=float32>,
'Conv2d_4a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_4a_3x3/Relu:0' shape=(?, 52, 52, 192) dtype=float32>,
'Conv2d_1a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu:0' shape=(?, 111, 111, 32) dtype=float32>,
'Mixed_7c': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_7c/concat:0' shape=(?, 5, 5, 2048) dtype=float32>}
{
'Mixed_5b': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_5b/concat:0' shape=(?, 25, 25, 256) dtype=float32>,
'PreLogits': <tf.Tensor 'InceptionV3/InceptionV3/Logits/Dropout_1b/dropout/mul:0' shape=(?, 1, 1, 2048) dtype=float32>,
'Conv2d_2a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu:0' shape=(?, 109, 109, 32) dtype=float32>,
'Logits': <tf.Tensor 'InceptionV3/InceptionV3/Logits/Conv2d_1c_1x1/BiasAdd:0' shape=(?, 1, 1, 151) dtype=float32>,
'Conv2d_4a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_4a_3x3/Relu:0' shape=(?, 52, 52, 192) dtype=float32>,
'Predictions': <tf.Tensor 'InceptionV3/InceptionV3/Predictions/Reshape_1:0' shape=(?, 1, 1, 151) dtype=float32>,
'AnnotationPrediction': <tf.Tensor 'InceptionV3/annotation_prediction:0' shape=(?, 224, 224) dtype=int64>,
'Mixed_7a': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_7a/concat:0' shape=(?, 5, 5, 1280) dtype=float32>,
'Conv2d_1a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu:0' shape=(?, 111, 111, 32) dtype=float32>,
'Mixed_6a': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6a/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'Mixed_6d': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6d/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'MaxPool_5a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/MaxPool_5a_3x3/MaxPool:0' shape=(?, 25, 25, 192) dtype=float32>,
'Mixed_5c': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_5c/concat:0' shape=(?, 25, 25, 288) dtype=float32>,
'Mixed_5d': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_5d/concat:0' shape=(?, 25, 25, 288) dtype=float32>,
'Conv2d_3b_1x1': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_3b_1x1/Relu:0' shape=(?, 54, 54, 80) dtype=float32>,
'Upsampling': <tf.Tensor 'InceptionV3/Upsampling/Conv2d_Trans_32x32/BiasAdd:0' shape=(?, 224, 224, 151) dtype=float32>,
'Mixed_6e': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6e/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'MaxPool_3a_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/MaxPool_3a_3x3/MaxPool:0' shape=(?, 54, 54, 64) dtype=float32>,
'Mixed_7b': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_7b/concat:0' shape=(?, 5, 5, 2048) dtype=float32>,
'Mixed_6b': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6b/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'Mixed_6c': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_6c/concat:0' shape=(?, 12, 12, 768) dtype=float32>,
'AuxLogits': <tf.Tensor 'InceptionV3/InceptionV3/AuxLogits/Conv2d_2b_1x1/BiasAdd:0' shape=(?, 1, 1, 151) dtype=float32>,
'Conv2d_2b_3x3': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu:0' shape=(?, 109, 109, 64) dtype=float32>,
'Mixed_7c': <tf.Tensor 'InceptionV3/InceptionV3/InceptionV3/Mixed_7c/concat:0' shape=(?, 5, 5, 2048) dtype=float32>
}